From f39c450578b506033c06b8f9964f7447e465c47a Mon Sep 17 00:00:00 2001 From: David Gardner <96306125+dagardner-nv@users.noreply.github.com> Date: Wed, 30 Apr 2025 10:49:24 -0700 Subject: [PATCH 01/60] Fix broken links in examples documentation (#177) * Fix broken anchor tags and external links in examples * I opened up #176 to prevent this in the future ## By Submitting this PR I confirm: - I am familiar with the [Contributing Guidelines](https://github.com/NVIDIA/AIQToolkit/blob/develop/docs/source/advanced/contributing.md). - We require that all contributors "sign-off" on their commits. This certifies that the contribution is your original work, or you have rights to submit it under the same license, or a compatible license. - Any contribution which contains commits that are not Signed-Off will not be accepted. - When the PR is ready for review, new or existing tests cover these changes. - When the PR is ready for review, the documentation is up to date with these changes. Authors: - David Gardner (https://github.com/dagardner-nv) Approvers: - Yuchen Zhang (https://github.com/yczhang-nv) URL: https://github.com/NVIDIA/AIQToolkit/pull/177 Signed-off-by: Yuchen Zhang --- examples/agents/README.md | 8 +++--- examples/agno_personal_finance/README.md | 3 +-- .../README.md | 6 +---- examples/email_phishing_analyzer/README.md | 25 ++++++++----------- examples/simple_calculator/README.md | 1 - examples/swe_bench/README.md | 6 ++--- 6 files changed, 18 insertions(+), 31 deletions(-) diff --git a/examples/agents/README.md b/examples/agents/README.md index 0d743245b..8e9748aaa 100644 --- a/examples/agents/README.md +++ b/examples/agents/README.md @@ -27,11 +27,9 @@ The examples showcase 5 distinct AI Agent architectures solving a similar proble By leveraging AIQ Toolkit’s plugin system and the `Builder` object, we can utilize both pre-built and custom agentic workflows and tools in a flexible manner. -1. [ReAct Agent Example](./react/configs/config.yml) -2. [ReAct Agent + Reasoning Agent Example](./react/configs/config-reasoning.yml) -3. [Tool Calling Agent Example](./tool_calling/configs/config.yml) -4. [Tool Calling Agent + Reasoning Agent Example](./tool_calling/configs/config-reasoning.yml) -5. [Mixture of Agents Example](./mixture_of_agents/configs/config.yml) - A ReAct Agent calling multiple Tool Calling Agents +* [ReAct Agent Example](./react/README.md) +* [Tool Calling Agent Example](./tool_calling/README.md) +* [Mixture of Agents Example](./mixture_of_agents/README.md) - A ReAct Agent calling multiple Tool Calling Agents ## Learn More diff --git a/examples/agno_personal_finance/README.md b/examples/agno_personal_finance/README.md index 212aa0a52..fa8340a11 100644 --- a/examples/agno_personal_finance/README.md +++ b/examples/agno_personal_finance/README.md @@ -21,7 +21,7 @@ limitations under the License. Built on [Agno](https://github.com/agno-agi/agno) and AIQ Toolkit, this workflow is a personal financial planner that generates personalized financial plans using NVIDIA NIM (can be customized to use OpenAI models). It automates the process of researching, planning, and creating tailored budgets, investment strategies, and savings goals, empowering you to take control of your financial future with ease. -This personal financial planner was revised based on the [Awesome-LLM-App](https://github.com/Shubhamsaboo/awesome-llm-apps) GitHub repo's [AI Personal Finance Planner](https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/ai_agent_tutorials/ai_personal_finance_agent) sample. +This personal financial planner was revised based on the [Awesome-LLM-App](https://github.com/Shubhamsaboo/awesome-llm-apps) GitHub repo's [AI Personal Finance Planner](https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/advanced_ai_agents/single_agent_apps/ai_personal_finance_agent) sample. ## Table of Contents @@ -30,7 +30,6 @@ This personal financial planner was revised based on the [Awesome-LLM-App](https - [Table of Contents](#table-of-contents) - [Key Features](#key-features) - [Installation and Setup](#installation-and-setup) - - [Setup Virtual Environment and Install AIQ Toolkit](#setup-virtual-environment-and-install-aiqtoolkit) - [Install this Workflow:](#install-this-workflow) - [Set Up API Keys](#set-up-api-keys) - [Example Usage](#example-usage) diff --git a/examples/automated_description_generation/README.md b/examples/automated_description_generation/README.md index f55d796c1..323cfd980 100644 --- a/examples/automated_description_generation/README.md +++ b/examples/automated_description_generation/README.md @@ -31,11 +31,7 @@ The documentation will also cover configuration considerations and how to set up * [Key Features](#key-features) * [Installation and Usage](#installation-and-setup) * [Example Usage](#example-usage) -* [Deployment-Oriented Setup](#deployment-oriented-setup) - - [Build the Docker Image](#build-the-docker-image) - - [Run the Docker Container](#run-the-docker-container) - - [Test the API](#test-the-api) - - [Expected API Output](#expected-api-output) + ## Key Features diff --git a/examples/email_phishing_analyzer/README.md b/examples/email_phishing_analyzer/README.md index c1b6831fb..98ce0a6b4 100644 --- a/examples/email_phishing_analyzer/README.md +++ b/examples/email_phishing_analyzer/README.md @@ -20,20 +20,17 @@ limitations under the License. ## Table of Contents -- [An Email phishing analyzer](#an-email-phishing-ayalyzer) - - [Table of Contents](#table-of-contents) - - [Key Features](#key-features) - - [Installation and Setup](#installation-and-setup) - - [Setup Virtual Environment and Install AIQ Toolkit](#setup-virtual-environment-and-install-aiqtoolkit) - - [Install this Workflow:](#install-this-workflow) - - [Set Up API Keys](#set-up-api-keys) - - [Example Usage](#example-usage) - - [Run the Workflow](#run-the-workflow) - - [Deployment-Oriented Setup](#deployment-oriented-setup) - - [Build the Docker Image](#build-the-docker-image) - - [Run the Docker Container](#run-the-docker-container) - - [Test the API](#test-the-api) - - [Expected API Output](#expected-api-output) +- [Key Features](#key-features) +- [Installation and Setup](#installation-and-setup) + - [Install this Workflow:](#install-this-workflow) + - [Set Up API Keys](#set-up-api-keys) +- [Example Usage](#example-usage) + - [Run the Workflow](#run-the-workflow) +- [Deployment-Oriented Setup](#deployment-oriented-setup) + - [Build the Docker Image](#build-the-docker-image) + - [Run the Docker Container](#run-the-docker-container) + - [Test the API](#test-the-api) + - [Expected API Output](#expected-api-output) ## Key Features diff --git a/examples/simple_calculator/README.md b/examples/simple_calculator/README.md index 9c4818b18..57230af75 100644 --- a/examples/simple_calculator/README.md +++ b/examples/simple_calculator/README.md @@ -25,7 +25,6 @@ This example demonstrates an end-to-end (E2E) agentic workflow using the AIQ Too - [Table of Contents](#table-of-contents) - [Key Features](#key-features) - [Installation and Setup](#installation-and-setup) - - [Setup Virtual Environment and Install AIQ Toolkit](#setup-virtual-environment-and-install-aiqtoolkit) - [Install this Workflow:](#install-this-workflow) - [Set Up API Keys](#set-up-api-keys) - [Example Usage](#example-usage) diff --git a/examples/swe_bench/README.md b/examples/swe_bench/README.md index a4732eaff..560d3d417 100644 --- a/examples/swe_bench/README.md +++ b/examples/swe_bench/README.md @@ -35,13 +35,11 @@ docker info ``` # Quickstart -1. Setup Virtual Environment and install AIQ Toolkit using the instructions in the base AIQ Toolkit repo [README.md](../../README.md) - -2. Install the `swe_bench` example: +1. Install the `swe_bench` example: ```bash uv pip install -e examples/swe_bench ``` -3. Run the example via the `aiq eval` CLI command: +2. Run the example via the `aiq eval` CLI command: ```bash aiq eval --config_file examples/swe_bench/configs/config_gold.yml ``` From 3b3f59b78ae9ea3094afc28a370f62bce74c49a4 Mon Sep 17 00:00:00 2001 From: Yuchen Zhang <134643420+yczhang-nv@users.noreply.github.com> Date: Wed, 30 Apr 2025 10:53:37 -0700 Subject: [PATCH 02/60] Remove support for Python `3.13` (#178) * support python 3.11 Signed-off-by: Yuchen Zhang * fix doc Signed-off-by: Yuchen Zhang * update pyproject.toml Signed-off-by: Yuchen Zhang * update uv.lock Signed-off-by: Yuchen Zhang * update README to specify Python version requirements Signed-off-by: Yuchen Zhang * resolve comments Signed-off-by: Yuchen Zhang * fix comments Signed-off-by: Yuchen Zhang * remove support for python 3.13 Signed-off-by: Yuchen Zhang --------- Signed-off-by: Yuchen Zhang --- README.md | 6 +++--- examples/agno_personal_finance/pyproject.toml | 2 +- examples/automated_description_generation/pyproject.toml | 2 +- .../workflows/text_file_ingest/pyproject.toml | 2 +- examples/email_phishing_analyzer/pyproject.toml | 2 +- examples/multi_frameworks/pyproject.toml | 2 +- examples/plot_charts/pyproject.toml | 2 +- examples/semantic_kernel_demo/pyproject.toml | 2 +- examples/simple/pyproject.toml | 2 +- examples/simple_calculator/pyproject.toml | 2 +- examples/swe_bench/pyproject.toml | 2 +- packages/aiqtoolkit_agno/pyproject.toml | 2 +- packages/aiqtoolkit_crewai/pyproject.toml | 2 +- packages/aiqtoolkit_langchain/pyproject.toml | 2 +- packages/aiqtoolkit_llama_index/pyproject.toml | 2 +- packages/aiqtoolkit_mem0ai/pyproject.toml | 2 +- packages/aiqtoolkit_semantic_kernel/pyproject.toml | 2 +- packages/aiqtoolkit_test/pyproject.toml | 2 +- packages/aiqtoolkit_zep_cloud/pyproject.toml | 2 +- pyproject.toml | 2 +- src/aiq/cli/commands/workflow/templates/pyproject.toml.j2 | 2 +- uv.lock | 2 +- 22 files changed, 24 insertions(+), 24 deletions(-) diff --git a/README.md b/README.md index be8249be0..2f31b12e8 100644 --- a/README.md +++ b/README.md @@ -60,7 +60,7 @@ Before you begin using AIQ Toolkit, ensure that you meet the following software - Install [Git](https://git-scm.com/) - Install [Git Large File Storage](https://git-lfs.github.com/) (LFS) - Install [uv](https://docs.astral.sh/uv/getting-started/installation/) -- Install [Python (3.11 or above)](https://www.python.org/downloads/) +- Install [Python (3.11 or 3.12)](https://www.python.org/downloads/) ### Install From Source @@ -87,12 +87,12 @@ Before you begin using AIQ Toolkit, ensure that you meet the following software uv venv --seed .venv source .venv/bin/activate ``` - Make sure the environment is built with Python version `3.11` or above. If you have multiple Python versions installed, + Make sure the environment is built with Python version `3.11` or `3.12`. If you have multiple Python versions installed, you can specify the desired version using the `--python` flag. For example, to use Python 3.11: ```bash uv venv --seed .venv --python 3.11 ``` - You can replace `--python 3.11` with any other Python version (3.11 or above) that you have installed. + You can replace `--python 3.11` with any other Python version (`3.11` or `3.12`) that you have installed. 5. Install the AIQ Toolkit library. To install the AIQ Toolkit library along with all of the optional dependencies. Including developer tools (`--all-groups`) and all of the dependencies needed for profiling and plugins (`--all-extras`) in the source repository, run the following: diff --git a/examples/agno_personal_finance/pyproject.toml b/examples/agno_personal_finance/pyproject.toml index 7495b8f89..5ea2f848d 100644 --- a/examples/agno_personal_finance/pyproject.toml +++ b/examples/agno_personal_finance/pyproject.toml @@ -13,7 +13,7 @@ dependencies = [ "openai~=1.66", "litellm~=1.63.14" ] -requires-python = ">=3.11" +requires-python = ">=3.11,<3.13" description = "Custom AIQ Toolkit Workflow using Agno for personal finance" classifiers = ["Programming Language :: Python"] diff --git a/examples/automated_description_generation/pyproject.toml b/examples/automated_description_generation/pyproject.toml index e5b968e09..a94761071 100644 --- a/examples/automated_description_generation/pyproject.toml +++ b/examples/automated_description_generation/pyproject.toml @@ -11,7 +11,7 @@ dynamic = ["version"] dependencies = [ "aiqtoolkit[langchain]" ] -requires-python = ">=3.11" +requires-python = ">=3.11,<3.13" description = "Automated Generation Description AI-Q example" keywords = ["ai", "rag", "agents"] classifiers = ["Programming Language :: Python"] diff --git a/examples/documentation_guides/workflows/text_file_ingest/pyproject.toml b/examples/documentation_guides/workflows/text_file_ingest/pyproject.toml index 8bb38455b..121de5ee3 100644 --- a/examples/documentation_guides/workflows/text_file_ingest/pyproject.toml +++ b/examples/documentation_guides/workflows/text_file_ingest/pyproject.toml @@ -10,7 +10,7 @@ dependencies = [ "bs4==0.0.2", "faiss-cpu==1.9.0", ] -requires-python = ">=3.11" +requires-python = ">=3.11,<3.13" description = "Ingest data from text files" keywords = ["ai", "rag", "agents"] classifiers = ["Programming Language :: Python"] diff --git a/examples/email_phishing_analyzer/pyproject.toml b/examples/email_phishing_analyzer/pyproject.toml index d942ba2a9..993b026ce 100644 --- a/examples/email_phishing_analyzer/pyproject.toml +++ b/examples/email_phishing_analyzer/pyproject.toml @@ -15,7 +15,7 @@ dependencies = [ "networkx~=3.4", "openinference-instrumentation-langchain==0.1.29", ] -requires-python = ">=3.11" +requires-python = ">=3.11,<3.13" description = "Simple Phishing Email Analyzer AIQ Toolkit example" keywords = ["ai", "rag", "agents"] classifiers = ["Programming Language :: Python"] diff --git a/examples/multi_frameworks/pyproject.toml b/examples/multi_frameworks/pyproject.toml index 60ae70524..ab9f433a0 100644 --- a/examples/multi_frameworks/pyproject.toml +++ b/examples/multi_frameworks/pyproject.toml @@ -14,7 +14,7 @@ dependencies = [ "markdown-it-py~=3.0", "nvidia-haystack==0.1.2", ] -requires-python = ">=3.11" +requires-python = ">=3.11,<3.13" description = "Custom AIQ Toolkit Workflow" classifiers = ["Programming Language :: Python"] diff --git a/examples/plot_charts/pyproject.toml b/examples/plot_charts/pyproject.toml index 620a8e96e..ad2d18a39 100644 --- a/examples/plot_charts/pyproject.toml +++ b/examples/plot_charts/pyproject.toml @@ -13,7 +13,7 @@ dependencies = [ "matplotlib==3.9.*", "seaborn==0.13.*", ] -requires-python = ">=3.11" +requires-python = ">=3.11,<3.13" description = "Simple Plot Chart Agent example" keywords = ["ai", "rag", "agents"] classifiers = ["Programming Language :: Python"] diff --git a/examples/semantic_kernel_demo/pyproject.toml b/examples/semantic_kernel_demo/pyproject.toml index 9902d9d7a..a1a046b05 100644 --- a/examples/semantic_kernel_demo/pyproject.toml +++ b/examples/semantic_kernel_demo/pyproject.toml @@ -12,7 +12,7 @@ dependencies = [ "aiqtoolkit[langchain,semantic-kernel]", "faiss-cpu==1.9.0", ] -requires-python = ">=3.11" +requires-python = ">=3.11,<3.13" description = "Semantic Kernel Example" keywords = ["ai", "rag", "agents"] classifiers = ["Programming Language :: Python"] diff --git a/examples/simple/pyproject.toml b/examples/simple/pyproject.toml index 86ee01163..9e45028fd 100644 --- a/examples/simple/pyproject.toml +++ b/examples/simple/pyproject.toml @@ -12,7 +12,7 @@ dependencies = [ "aiqtoolkit[langchain]", "faiss-cpu==1.9.0", ] -requires-python = ">=3.11" +requires-python = ">=3.11,<3.13" description = "Simple AIQ Toolkit example" keywords = ["ai", "rag", "agents"] classifiers = ["Programming Language :: Python"] diff --git a/examples/simple_calculator/pyproject.toml b/examples/simple_calculator/pyproject.toml index b21a2b932..eaa04e4d6 100644 --- a/examples/simple_calculator/pyproject.toml +++ b/examples/simple_calculator/pyproject.toml @@ -11,7 +11,7 @@ dynamic = ["version"] dependencies = [ "aiqtoolkit[langchain]", ] -requires-python = ">=3.11" +requires-python = ">=3.11,<3.13" description = "Simple Calculator AIQ Toolkit example" keywords = ["ai", "rag", "agents"] classifiers = ["Programming Language :: Python"] diff --git a/examples/swe_bench/pyproject.toml b/examples/swe_bench/pyproject.toml index 98bdca3ee..9fe59a920 100644 --- a/examples/swe_bench/pyproject.toml +++ b/examples/swe_bench/pyproject.toml @@ -12,7 +12,7 @@ dependencies = [ "aiqtoolkit[langchain]", "swebench==3.0.3" ] -requires-python = ">=3.11" +requires-python = ">=3.11,<3.13" description = "Example for solving SWE bench problems" classifiers = ["Programming Language :: Python"] diff --git a/packages/aiqtoolkit_agno/pyproject.toml b/packages/aiqtoolkit_agno/pyproject.toml index aa76ed2f7..04661cccd 100644 --- a/packages/aiqtoolkit_agno/pyproject.toml +++ b/packages/aiqtoolkit_agno/pyproject.toml @@ -24,7 +24,7 @@ dependencies = [ "openai~=1.66", "google-search-results~=2.4.2", ] -requires-python = ">=3.11" +requires-python = ">=3.11,<3.13" readme = "src/aiq/meta/pypi.md" description = "Subpackage for Agno integration in AIQToolkit" keywords = ["ai", "rag", "agents"] diff --git a/packages/aiqtoolkit_crewai/pyproject.toml b/packages/aiqtoolkit_crewai/pyproject.toml index 24efc427f..b58de32ee 100644 --- a/packages/aiqtoolkit_crewai/pyproject.toml +++ b/packages/aiqtoolkit_crewai/pyproject.toml @@ -22,7 +22,7 @@ dependencies = [ "aiqtoolkit", "crewai~=0.95.0", ] -requires-python = ">=3.11" +requires-python = ">=3.11,<3.13" readme = "src/aiq/meta/pypi.md" description = "Subpackage for CrewAI integration in AIQToolkit" keywords = ["ai", "rag", "agents"] diff --git a/packages/aiqtoolkit_langchain/pyproject.toml b/packages/aiqtoolkit_langchain/pyproject.toml index c24580c4f..df34bdbdc 100644 --- a/packages/aiqtoolkit_langchain/pyproject.toml +++ b/packages/aiqtoolkit_langchain/pyproject.toml @@ -27,7 +27,7 @@ dependencies = [ "langgraph~=0.2.50", "langchain-milvus~=0.1.8" ] -requires-python = ">=3.11" +requires-python = ">=3.11,<3.13" description = "Subpackage for Langchain/Langgraph integration in AIQToolkit" readme = "src/aiq/meta/pypi.md" keywords = ["ai", "rag", "agents"] diff --git a/packages/aiqtoolkit_llama_index/pyproject.toml b/packages/aiqtoolkit_llama_index/pyproject.toml index b3be4b43e..c34a9fdb4 100644 --- a/packages/aiqtoolkit_llama_index/pyproject.toml +++ b/packages/aiqtoolkit_llama_index/pyproject.toml @@ -28,7 +28,7 @@ dependencies = [ "llama-index-readers-file==0.4.4", "llama-index==0.12.15", ] -requires-python = ">=3.11" +requires-python = ">=3.11,<3.13" description = "Subpackage for Llama-Index integration in AIQToolkit" readme = "src/aiq/meta/pypi.md" keywords = ["ai", "rag", "agents"] diff --git a/packages/aiqtoolkit_mem0ai/pyproject.toml b/packages/aiqtoolkit_mem0ai/pyproject.toml index 2eecd8aaa..a27f46b31 100644 --- a/packages/aiqtoolkit_mem0ai/pyproject.toml +++ b/packages/aiqtoolkit_mem0ai/pyproject.toml @@ -22,7 +22,7 @@ dependencies = [ "aiqtoolkit", "mem0ai~=0.1.30", ] -requires-python = ">=3.11" +requires-python = ">=3.11,<3.13" description = "Subpackage for Mem0 memory integration in AIQToolkit" readme = "src/aiq/meta/pypi.md" keywords = ["ai", "agents", "memory"] diff --git a/packages/aiqtoolkit_semantic_kernel/pyproject.toml b/packages/aiqtoolkit_semantic_kernel/pyproject.toml index 86d157e42..682f37fd5 100644 --- a/packages/aiqtoolkit_semantic_kernel/pyproject.toml +++ b/packages/aiqtoolkit_semantic_kernel/pyproject.toml @@ -22,7 +22,7 @@ dependencies = [ "aiqtoolkit", "semantic-kernel~=1.24.0", ] -requires-python = ">=3.11" +requires-python = ">=3.11,<3.13" description = "Subpackage for Semantic-Kernel integration in AIQToolkit" readme = "src/aiq/meta/pypi.md" keywords = ["ai", "rag", "agents"] diff --git a/packages/aiqtoolkit_test/pyproject.toml b/packages/aiqtoolkit_test/pyproject.toml index 596569357..450824f72 100644 --- a/packages/aiqtoolkit_test/pyproject.toml +++ b/packages/aiqtoolkit_test/pyproject.toml @@ -22,7 +22,7 @@ dependencies = [ "aiqtoolkit", "pytest~=8.3", ] -requires-python = ">=3.11" +requires-python = ">=3.11,<3.13" description = "Testing utilities for AIQToolkit" readme = "src/aiq/meta/pypi.md" keywords = ["ai", "rag", "agents"] diff --git a/packages/aiqtoolkit_zep_cloud/pyproject.toml b/packages/aiqtoolkit_zep_cloud/pyproject.toml index 12526e940..70392203d 100644 --- a/packages/aiqtoolkit_zep_cloud/pyproject.toml +++ b/packages/aiqtoolkit_zep_cloud/pyproject.toml @@ -22,7 +22,7 @@ dependencies = [ "aiqtoolkit", "zep-cloud~=2.2.0", ] -requires-python = ">=3.11" +requires-python = ">=3.11,<3.13" description = "Subpackage for Zep memory integration in AIQToolkit" readme = "src/aiq/meta/pypi.md" keywords = ["ai", "agents", "memory"] diff --git a/pyproject.toml b/pyproject.toml index 5f7b75f18..dfc470b9e 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -45,7 +45,7 @@ dependencies = [ "uvicorn[standard]~=0.32.0", "wikipedia~=1.4", ] -requires-python = ">=3.11" +requires-python = ">=3.11,<3.13" description = "Agent Intelligence Toolkit (AIQ Toolkit)" readme = "src/aiq/meta/pypi.md" license = { file = "LICENSE.md" } diff --git a/src/aiq/cli/commands/workflow/templates/pyproject.toml.j2 b/src/aiq/cli/commands/workflow/templates/pyproject.toml.j2 index 329bf3a50..9e73614be 100644 --- a/src/aiq/cli/commands/workflow/templates/pyproject.toml.j2 +++ b/src/aiq/cli/commands/workflow/templates/pyproject.toml.j2 @@ -11,7 +11,7 @@ name = "{{ package_name }}" dependencies = [ "aiqtoolkit[langchain]", ] -requires-python = ">=3.11" +requires-python = ">=3.11,<3.13" description = "Custom AIQ Toolkit Workflow" classifiers = ["Programming Language :: Python"] diff --git a/uv.lock b/uv.lock index f4b41bb32..4f23b88fd 100644 --- a/uv.lock +++ b/uv.lock @@ -1,5 +1,5 @@ version = 1 -requires-python = ">=3.11" +requires-python = ">=3.11,<3.13" resolution-markers = [ "python_full_version >= '3.13'", "python_full_version >= '3.12.4' and python_full_version < '3.13'", From b3ccd3f999c457b0845b32be2a6f358d87ec6272 Mon Sep 17 00:00:00 2001 From: David Gardner <96306125+dagardner-nv@users.noreply.github.com> Date: Wed, 30 Apr 2025 16:39:58 -0700 Subject: [PATCH 03/60] Add transitional packages (#181) * Adds temporary transitional packages for users which still have dependencies on the old package names. * Consolidate some CI code. ## By Submitting this PR I confirm: - I am familiar with the [Contributing Guidelines](https://github.com/NVIDIA/AIQToolkit/blob/develop/docs/source/advanced/contributing.md). - We require that all contributors "sign-off" on their commits. This certifies that the contribution is your original work, or you have rights to submit it under the same license, or a compatible license. - Any contribution which contains commits that are not Signed-Off will not be accepted. - When the PR is ready for review, new or existing tests cover these changes. - When the PR is ready for review, the documentation is up to date with these changes. Authors: - David Gardner (https://github.com/dagardner-nv) Approvers: - Anuradha Karuppiah (https://github.com/AnuradhaKaruppiah) URL: https://github.com/NVIDIA/AIQToolkit/pull/181 Signed-off-by: Yuchen Zhang --- .github/workflows/ci_pipe.yml | 1 + .gitlab-ci.yml | 4 ++++ README.md | 2 +- ci/scripts/bootstrap_local_ci.sh | 1 + ci/scripts/common.sh | 23 +++++++++++++++++++ ci/scripts/github/build_wheel.sh | 15 +++++++----- ci/scripts/github/common.sh | 2 -- ci/scripts/gitlab/build_wheel.sh | 18 ++++++--------- ci/scripts/gitlab/common.sh | 3 --- packages/aiqtoolkit_agno/src/aiq/meta/pypi.md | 2 +- .../aiqtoolkit_crewai/src/aiq/meta/pypi.md | 2 +- .../aiqtoolkit_langchain/src/aiq/meta/pypi.md | 2 +- .../src/aiq/meta/pypi.md | 2 +- .../aiqtoolkit_mem0ai/src/aiq/meta/pypi.md | 2 +- .../src/aiq/meta/pypi.md | 2 +- packages/aiqtoolkit_test/src/aiq/meta/pypi.md | 2 +- .../aiqtoolkit_zep_cloud/src/aiq/meta/pypi.md | 2 +- packages/compat/agentiq/pypi.md | 21 +++++++++++++++++ packages/compat/agentiq/pyproject.toml | 16 +++++++++++++ packages/compat/agentiq_agno/pypi.md | 21 +++++++++++++++++ packages/compat/agentiq_agno/pyproject.toml | 17 ++++++++++++++ packages/compat/agentiq_crewai/pypi.md | 21 +++++++++++++++++ packages/compat/agentiq_crewai/pyproject.toml | 16 +++++++++++++ packages/compat/agentiq_langchain/pypi.md | 21 +++++++++++++++++ .../compat/agentiq_langchain/pyproject.toml | 20 ++++++++++++++++ packages/compat/agentiq_llama_index/pypi.md | 21 +++++++++++++++++ .../compat/agentiq_llama_index/pyproject.toml | 19 +++++++++++++++ packages/compat/agentiq_mem0ai/pypi.md | 21 +++++++++++++++++ packages/compat/agentiq_mem0ai/pyproject.toml | 17 ++++++++++++++ .../compat/agentiq_semantic_kernel/pypi.md | 21 +++++++++++++++++ .../agentiq_semantic_kernel/pyproject.toml | 16 +++++++++++++ packages/compat/agentiq_test/pypi.md | 21 +++++++++++++++++ packages/compat/agentiq_test/pyproject.toml | 16 +++++++++++++ packages/compat/agentiq_zep_cloud/pypi.md | 21 +++++++++++++++++ .../compat/agentiq_zep_cloud/pyproject.toml | 16 +++++++++++++ pyproject.toml | 2 +- src/aiq/meta/pypi.md | 2 +- 37 files changed, 398 insertions(+), 33 deletions(-) create mode 100644 packages/compat/agentiq/pypi.md create mode 100644 packages/compat/agentiq/pyproject.toml create mode 100644 packages/compat/agentiq_agno/pypi.md create mode 100644 packages/compat/agentiq_agno/pyproject.toml create mode 100644 packages/compat/agentiq_crewai/pypi.md create mode 100644 packages/compat/agentiq_crewai/pyproject.toml create mode 100644 packages/compat/agentiq_langchain/pypi.md create mode 100644 packages/compat/agentiq_langchain/pyproject.toml create mode 100644 packages/compat/agentiq_llama_index/pypi.md create mode 100644 packages/compat/agentiq_llama_index/pyproject.toml create mode 100644 packages/compat/agentiq_mem0ai/pypi.md create mode 100644 packages/compat/agentiq_mem0ai/pyproject.toml create mode 100644 packages/compat/agentiq_semantic_kernel/pypi.md create mode 100644 packages/compat/agentiq_semantic_kernel/pyproject.toml create mode 100644 packages/compat/agentiq_test/pypi.md create mode 100644 packages/compat/agentiq_test/pyproject.toml create mode 100644 packages/compat/agentiq_zep_cloud/pypi.md create mode 100644 packages/compat/agentiq_zep_cloud/pyproject.toml diff --git a/.github/workflows/ci_pipe.yml b/.github/workflows/ci_pipe.yml index dfba2b7a9..b3b83181c 100644 --- a/.github/workflows/ci_pipe.yml +++ b/.github/workflows/ci_pipe.yml @@ -41,6 +41,7 @@ env: GH_TOKEN: "${{ github.token }}" GIT_COMMIT: "${{ github.sha }}" BASE_SHA: "${{ inputs.base_sha }}" + BUILD_AIQ_COMPAT: "true" RAPIDS_CONDA_RETRY_MAX: "5" WORKSPACE: "${{ github.workspace }}/aiqtoolkit" WORKSPACE_TMP: "${{ github.workspace }}/tmp" diff --git a/.gitlab-ci.yml b/.gitlab-ci.yml index d5f8c8600..1322cb129 100644 --- a/.gitlab-ci.yml +++ b/.gitlab-ci.yml @@ -35,6 +35,7 @@ variables: UV_CACHE_DIR: .uv-cache GIT_SUBMODULE_STRATEGY: recursive GIT_SUBMODULE_FORCE_HTTPS: "true" + BUILD_AIQ_COMPAT: "true" default: image: rapidsai/ci-conda:cuda12.5.1-ubuntu22.04-py3.12 @@ -110,7 +111,10 @@ package:wheel: paths: # match - .tmp/wheels/aiqtoolkit/aiqtoolkit//*.whl, .tmp/wheels/aiqtoolkit/aiqtoolkit-crewai//*.whl etc. - .tmp/wheels/aiqtoolkit/*/*/*.whl + # Match the example wheels - .tmp/wheels/aiqtoolkit/examples/*.whl + # Match the transitional wheels + - .tmp/wheels/agentiq/*/*/*.whl expire_in: 1 week diff --git a/README.md b/README.md index 2f31b12e8..dbf3dad65 100644 --- a/README.md +++ b/README.md @@ -6,7 +6,7 @@ Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at -http:/www.apache.org/licenses/LICENSE-2.0 +http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, diff --git a/ci/scripts/bootstrap_local_ci.sh b/ci/scripts/bootstrap_local_ci.sh index 15ebd7f2b..b522aa9be 100755 --- a/ci/scripts/bootstrap_local_ci.sh +++ b/ci/scripts/bootstrap_local_ci.sh @@ -40,6 +40,7 @@ export LOCAL_CI=1 export WORKSPACE_TMP="${LOCAL_CI_TMP}/local_ci_workspace" export UV_CACHE_DIR="${LOCAL_CI_TMP}/cache/uv" export PRE_COMMIT_HOME="${LOCAL_CI_TMP}/cache/pre_commit" +export BUILD_AIQ_COMPAT="true" mkdir -p ${UV_CACHE_DIR} GH_SCRIPT_DIR="${WORKSPACE}/ci/scripts/github" diff --git a/ci/scripts/common.sh b/ci/scripts/common.sh index c0a28bb4c..50df5dd0f 100644 --- a/ci/scripts/common.sh +++ b/ci/scripts/common.sh @@ -102,12 +102,35 @@ function get_num_proc() { echo "${NUM_PROC}" } +function build_wheel() { + rapids-logger "Building Wheel for $1" + uv build --wheel --no-progress --out-dir "${WHEELS_DIR}/$2" --directory $1 +} + +function build_package_wheel() +{ + local pkg=$1 + pkg_dir_name="${pkg#packages/}" + pkg_dir_name="${pkg#./packages/}" + # Replace "aiq_" with "aiqtoolkit_" + pkg_dir_name="${pkg_dir_name//aiq_/aiqtoolkit_}" + + # Remove compat/ + pkg_dir_name="${pkg_dir_name/compat\/}" + build_wheel "${pkg}" "${pkg_dir_name}/${GIT_TAG}" +} + function cleanup { # Restore the original directory popd &> /dev/null } + trap cleanup EXIT # Change directory to the repo root pushd "${PROJECT_ROOT}" &> /dev/null + +AIQ_EXAMPLES=($(find ./examples/ -maxdepth 2 -name "pyproject.toml" | sort | xargs dirname)) +AIQ_PACKAGES=($(find ./packages/ -maxdepth 2 -name "pyproject.toml" | sort | xargs dirname)) +AIQ_COMPAT_PACKAGES=($(find ./packages/compat -maxdepth 2 -name "pyproject.toml" | sort | xargs dirname)) diff --git a/ci/scripts/github/build_wheel.sh b/ci/scripts/github/build_wheel.sh index 2527f7573..8896fbfce 100755 --- a/ci/scripts/github/build_wheel.sh +++ b/ci/scripts/github/build_wheel.sh @@ -46,12 +46,15 @@ for AIQ_EXAMPLE in ${AIQ_EXAMPLES[@]}; do build_wheel ${AIQ_EXAMPLE} "examples" done + # Build all packages with a pyproject.toml in the first directory below packages for AIQ_PACKAGE in "${AIQ_PACKAGES[@]}"; do - # drop each package into a separate directory - PACKAGE_DIR_NAME="${AIQ_PACKAGE#packages/}" - PACKAGE_DIR_NAME="${AIQ_PACKAGE#./packages/}" - # Replace "aiq_" with "aiqtoolkit_" - PACKAGE_DIR_NAME="${PACKAGE_DIR_NAME//aiq_/aiqtoolkit_}" - build_wheel "${AIQ_PACKAGE}" "${PACKAGE_DIR_NAME}/${GIT_TAG}" + build_package_wheel ${AIQ_PACKAGE} done + +WHEELS_DIR=${WORKSPACE_TMP}/wheels/agentiq +if [[ "${BUILD_AIQ_COMPAT}" == "true" ]]; then + for AIQ_COMPAT_PACKAGE in "${AIQ_COMPAT_PACKAGES[@]}"; do + build_package_wheel ${AIQ_COMPAT_PACKAGE} + done +fi diff --git a/ci/scripts/github/common.sh b/ci/scripts/github/common.sh index 1789b86e9..4fd9518f9 100644 --- a/ci/scripts/github/common.sh +++ b/ci/scripts/github/common.sh @@ -21,8 +21,6 @@ source ${SCRIPT_DIR}/common.sh echo "Installing Rapids GHA tools" wget https://github.com/rapidsai/gha-tools/releases/latest/download/tools.tar.gz -O - | tar -xz -C /usr/local/bin -AIQ_EXAMPLES=($(find ./examples/ -maxdepth 2 -name "pyproject.toml" | sort | xargs dirname)) -AIQ_PACKAGES=($(find ./packages/ -maxdepth 2 -name "pyproject.toml" | sort | xargs dirname)) # Ensure the workspace tmp directory exists mkdir -p ${WORKSPACE_TMP} diff --git a/ci/scripts/gitlab/build_wheel.sh b/ci/scripts/gitlab/build_wheel.sh index 5873d9543..134674cf4 100755 --- a/ci/scripts/gitlab/build_wheel.sh +++ b/ci/scripts/gitlab/build_wheel.sh @@ -32,11 +32,6 @@ WHEELS_DIR=${CI_PROJECT_DIR}/.tmp/wheels/aiqtoolkit create_env extra:all -function build_wheel() { - rapids-logger "Building Wheel for $1" - uv build --wheel --no-progress --out-dir "${WHEELS_DIR}/$2" --directory $1 -} - build_wheel . "aiqtoolkit/${GIT_TAG}" @@ -48,14 +43,15 @@ done # Build all packages with a pyproject.toml in the first directory below packages for AIQ_PACKAGE in "${AIQ_PACKAGES[@]}"; do - # drop each package into a separate directory - PACKAGE_DIR_NAME="${AIQ_PACKAGE#packages/}" - PACKAGE_DIR_NAME="${AIQ_PACKAGE#./packages/}" - # Replace "aiq_" with "aiqtoolkit_" - PACKAGE_DIR_NAME="${PACKAGE_DIR_NAME//aiq_/aiqtoolkit_}" - build_wheel "${AIQ_PACKAGE}" "${PACKAGE_DIR_NAME}/${GIT_TAG}" + build_package_wheel ${AIQ_PACKAGE} done +if [[ "${BUILD_AIQ_COMPAT}" == "true" ]]; then + for AIQ_COMPAT_PACKAGE in "${AIQ_COMPAT_PACKAGES[@]}"; do + build_package_wheel ${AIQ_COMPAT_PACKAGE} + done +fi + if [[ "${CI_COMMIT_BRANCH}" == "${CI_DEFAULT_BRANCH}" || "${CI_COMMIT_BRANCH}" == "main" ]]; then rapids-logger "Uploading Wheels" diff --git a/ci/scripts/gitlab/common.sh b/ci/scripts/gitlab/common.sh index 17dacb7be..698e85f0d 100644 --- a/ci/scripts/gitlab/common.sh +++ b/ci/scripts/gitlab/common.sh @@ -20,9 +20,6 @@ source ${SCRIPT_DIR}/common.sh export AIQ_AVOID_GH_CLI=1 # gh cli not working with gitlab, todo look into seeing if this can be fixed -AIQ_EXAMPLES=($(find ./examples/ -maxdepth 2 -name "pyproject.toml" | sort | xargs dirname)) -AIQ_PACKAGES=($(find ./packages/ -maxdepth 2 -name "pyproject.toml" | sort | xargs dirname)) - function get_git_tag() { FT=$(git fetch --all --tags) diff --git a/packages/aiqtoolkit_agno/src/aiq/meta/pypi.md b/packages/aiqtoolkit_agno/src/aiq/meta/pypi.md index d7a2be005..c03118467 100644 --- a/packages/aiqtoolkit_agno/src/aiq/meta/pypi.md +++ b/packages/aiqtoolkit_agno/src/aiq/meta/pypi.md @@ -6,7 +6,7 @@ Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at -http:/www.apache.org/licenses/LICENSE-2.0 +http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, diff --git a/packages/aiqtoolkit_crewai/src/aiq/meta/pypi.md b/packages/aiqtoolkit_crewai/src/aiq/meta/pypi.md index 44e32064b..0cb0d8cc0 100644 --- a/packages/aiqtoolkit_crewai/src/aiq/meta/pypi.md +++ b/packages/aiqtoolkit_crewai/src/aiq/meta/pypi.md @@ -6,7 +6,7 @@ Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at -http:/www.apache.org/licenses/LICENSE-2.0 +http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, diff --git a/packages/aiqtoolkit_langchain/src/aiq/meta/pypi.md b/packages/aiqtoolkit_langchain/src/aiq/meta/pypi.md index 346303724..567d6a47d 100644 --- a/packages/aiqtoolkit_langchain/src/aiq/meta/pypi.md +++ b/packages/aiqtoolkit_langchain/src/aiq/meta/pypi.md @@ -6,7 +6,7 @@ Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at -http:/www.apache.org/licenses/LICENSE-2.0 +http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, diff --git a/packages/aiqtoolkit_llama_index/src/aiq/meta/pypi.md b/packages/aiqtoolkit_llama_index/src/aiq/meta/pypi.md index 3314ce307..9a8f8d47b 100644 --- a/packages/aiqtoolkit_llama_index/src/aiq/meta/pypi.md +++ b/packages/aiqtoolkit_llama_index/src/aiq/meta/pypi.md @@ -6,7 +6,7 @@ Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at -http:/www.apache.org/licenses/LICENSE-2.0 +http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, diff --git a/packages/aiqtoolkit_mem0ai/src/aiq/meta/pypi.md b/packages/aiqtoolkit_mem0ai/src/aiq/meta/pypi.md index e5cc58840..eb6e4f245 100644 --- a/packages/aiqtoolkit_mem0ai/src/aiq/meta/pypi.md +++ b/packages/aiqtoolkit_mem0ai/src/aiq/meta/pypi.md @@ -6,7 +6,7 @@ Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at -http:/www.apache.org/licenses/LICENSE-2.0 +http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, diff --git a/packages/aiqtoolkit_semantic_kernel/src/aiq/meta/pypi.md b/packages/aiqtoolkit_semantic_kernel/src/aiq/meta/pypi.md index c7b47aa87..e60fa018c 100644 --- a/packages/aiqtoolkit_semantic_kernel/src/aiq/meta/pypi.md +++ b/packages/aiqtoolkit_semantic_kernel/src/aiq/meta/pypi.md @@ -6,7 +6,7 @@ Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at -http:/www.apache.org/licenses/LICENSE-2.0 +http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, diff --git a/packages/aiqtoolkit_test/src/aiq/meta/pypi.md b/packages/aiqtoolkit_test/src/aiq/meta/pypi.md index f49819612..3a643eb1f 100644 --- a/packages/aiqtoolkit_test/src/aiq/meta/pypi.md +++ b/packages/aiqtoolkit_test/src/aiq/meta/pypi.md @@ -6,7 +6,7 @@ Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at -http:/www.apache.org/licenses/LICENSE-2.0 +http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, diff --git a/packages/aiqtoolkit_zep_cloud/src/aiq/meta/pypi.md b/packages/aiqtoolkit_zep_cloud/src/aiq/meta/pypi.md index f87411e58..dd3e383a9 100644 --- a/packages/aiqtoolkit_zep_cloud/src/aiq/meta/pypi.md +++ b/packages/aiqtoolkit_zep_cloud/src/aiq/meta/pypi.md @@ -6,7 +6,7 @@ Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at -http:/www.apache.org/licenses/LICENSE-2.0 +http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, diff --git a/packages/compat/agentiq/pypi.md b/packages/compat/agentiq/pypi.md new file mode 100644 index 000000000..faa8acdc2 --- /dev/null +++ b/packages/compat/agentiq/pypi.md @@ -0,0 +1,21 @@ + + +# Transitional Package for `aiqtoolkit` +This is a transitional package for `aiqtoolkit` to help ease the migration to `aiqtoolkit`, and will be removed in a future release. It is recommended to use `aiqtoolkit` directly for new projects. + +For more information about AIQ Toolkit, please visit the [AIQ Toolkit package](https://pypi.org/project/aiqtoolkit/). diff --git a/packages/compat/agentiq/pyproject.toml b/packages/compat/agentiq/pyproject.toml new file mode 100644 index 000000000..582717b38 --- /dev/null +++ b/packages/compat/agentiq/pyproject.toml @@ -0,0 +1,16 @@ +[build-system] +build-backend = "setuptools.build_meta" +requires = ["setuptools >= 64", "setuptools-scm>=8"] + +[tool.setuptools_scm] +root = "../../.." + +[project] +name = "agentiq" +dynamic = ["version"] +dependencies = [ + "aiqtoolkit" +] +readme = "pypi.md" +description = "Transitional package for aiqtoolkit, this package is deprecated and will be removed in the future." +classifiers = ["Programming Language :: Python"] diff --git a/packages/compat/agentiq_agno/pypi.md b/packages/compat/agentiq_agno/pypi.md new file mode 100644 index 000000000..e7c5f2478 --- /dev/null +++ b/packages/compat/agentiq_agno/pypi.md @@ -0,0 +1,21 @@ + + +# Transitional Package for `aiqtoolkit-agno` +This is a transitional package for `aiqtoolkit-agno` to help ease the migration to `aiqtoolkit-agno`, and will be removed in a future release. It is recommended to use `aiqtoolkit-agno` directly for new projects. + +For more information about AIQ Toolkit, please visit the [AIQ Toolkit package](https://pypi.org/project/aiqtoolkit-agno/). diff --git a/packages/compat/agentiq_agno/pyproject.toml b/packages/compat/agentiq_agno/pyproject.toml new file mode 100644 index 000000000..d12214b1e --- /dev/null +++ b/packages/compat/agentiq_agno/pyproject.toml @@ -0,0 +1,17 @@ +[build-system] +build-backend = "setuptools.build_meta" +requires = ["setuptools >= 64", "setuptools-scm>=8"] + +[tool.setuptools_scm] +root = "../../.." + + +[project] +name = "agentiq-agno" +dynamic = ["version"] +dependencies = [ + "aiqtoolkit-agno" +] +readme = "pypi.md" +description = "Transitional package for aiqtoolkit-agno, this package is deprecated and will be removed in the future." +classifiers = ["Programming Language :: Python"] diff --git a/packages/compat/agentiq_crewai/pypi.md b/packages/compat/agentiq_crewai/pypi.md new file mode 100644 index 000000000..76f04bc49 --- /dev/null +++ b/packages/compat/agentiq_crewai/pypi.md @@ -0,0 +1,21 @@ + + +# Transitional Package for `aiqtoolkit-crewai` +This is a transitional package for `aiqtoolkit-crewai` to help ease the migration to `aiqtoolkit-crewai`, and will be removed in a future release. It is recommended to use `aiqtoolkit-crewai` directly for new projects. + +For more information about AIQ Toolkit, please visit the [AIQ Toolkit package](https://pypi.org/project/aiqtoolkit-crewai/). diff --git a/packages/compat/agentiq_crewai/pyproject.toml b/packages/compat/agentiq_crewai/pyproject.toml new file mode 100644 index 000000000..d0fad37f7 --- /dev/null +++ b/packages/compat/agentiq_crewai/pyproject.toml @@ -0,0 +1,16 @@ +[build-system] +build-backend = "setuptools.build_meta" +requires = ["setuptools >= 64", "setuptools-scm>=8"] + +[tool.setuptools_scm] +root = "../../.." + +[project] +name = "agentiq-crewai" +dynamic = ["version"] +dependencies = [ + "aiqtoolkit-crewai", +] +readme = "pypi.md" +description = "Transitional package for aiqtoolkit-crewai, this package is deprecated and will be removed in the future." +classifiers = ["Programming Language :: Python"] diff --git a/packages/compat/agentiq_langchain/pypi.md b/packages/compat/agentiq_langchain/pypi.md new file mode 100644 index 000000000..3325b94c0 --- /dev/null +++ b/packages/compat/agentiq_langchain/pypi.md @@ -0,0 +1,21 @@ + + +# Transitional Package for `aiqtoolkit-langchain` +This is a transitional package for `aiqtoolkit-langchain` to help ease the migration to `aiqtoolkit-langchain`, and will be removed in a future release. It is recommended to use `aiqtoolkit-langchain` directly for new projects. + +For more information about AIQ Toolkit, please visit the [AIQ Toolkit package](https://pypi.org/project/aiqtoolkit-langchain/). diff --git a/packages/compat/agentiq_langchain/pyproject.toml b/packages/compat/agentiq_langchain/pyproject.toml new file mode 100644 index 000000000..14be7f7ed --- /dev/null +++ b/packages/compat/agentiq_langchain/pyproject.toml @@ -0,0 +1,20 @@ +[build-system] +build-backend = "setuptools.build_meta" +requires = ["setuptools >= 64", "setuptools-scm>=8"] + +[tool.setuptools_scm] +root = "../../.." + + +[project] +name = "agentiq-langchain" +dynamic = ["version"] +dependencies = [ + # Keep package version constraints as open as possible to avoid conflicts with other packages. Always define a minimum + # version when adding a new package. If unsure, default to using `~=` instead of `==`. Does not apply to aiq packages. + # Keep sorted!!! + "aiqtoolkit-langchain" +] +readme = "pypi.md" +description = "Transitional package for aiqtoolkit-langchain, this package is deprecated and will be removed in the future." +classifiers = ["Programming Language :: Python"] diff --git a/packages/compat/agentiq_llama_index/pypi.md b/packages/compat/agentiq_llama_index/pypi.md new file mode 100644 index 000000000..c3d117cbe --- /dev/null +++ b/packages/compat/agentiq_llama_index/pypi.md @@ -0,0 +1,21 @@ + + +# Transitional Package for `aiqtoolkit-llama-index` +This is a transitional package for `aiqtoolkit-llama-index` to help ease the migration to `aiqtoolkit-llama-index`, and will be removed in a future release. It is recommended to use `aiqtoolkit-llama-index` directly for new projects. + +For more information about AIQ Toolkit, please visit the [AIQ Toolkit package](https://pypi.org/project/aiqtoolkit-llama-index/). diff --git a/packages/compat/agentiq_llama_index/pyproject.toml b/packages/compat/agentiq_llama_index/pyproject.toml new file mode 100644 index 000000000..bc2f988b0 --- /dev/null +++ b/packages/compat/agentiq_llama_index/pyproject.toml @@ -0,0 +1,19 @@ +[build-system] +build-backend = "setuptools.build_meta" +requires = ["setuptools >= 64", "setuptools-scm>=8"] + + +[tool.setuptools_scm] +root = "../../.." + + + +[project] +name = "agentiq-llama-index" +dynamic = ["version"] +dependencies = [ + "aiqtoolkit-llama-index" +] +readme = "pypi.md" +description = "Transitional package for aiqtoolkit-llama-index, this package is deprecated and will be removed in the future." +classifiers = ["Programming Language :: Python"] diff --git a/packages/compat/agentiq_mem0ai/pypi.md b/packages/compat/agentiq_mem0ai/pypi.md new file mode 100644 index 000000000..5fb218fb7 --- /dev/null +++ b/packages/compat/agentiq_mem0ai/pypi.md @@ -0,0 +1,21 @@ + + +# Transitional Package for `aiqtoolkit-mem0ai` +This is a transitional package for `aiqtoolkit-mem0ai` to help ease the migration to `aiqtoolkit-mem0ai`, and will be removed in a future release. It is recommended to use `aiqtoolkit-mem0ai` directly for new projects. + +For more information about AIQ Toolkit, please visit the [AIQ Toolkit package](https://pypi.org/project/aiqtoolkit-mem0ai/). diff --git a/packages/compat/agentiq_mem0ai/pyproject.toml b/packages/compat/agentiq_mem0ai/pyproject.toml new file mode 100644 index 000000000..ff1b17442 --- /dev/null +++ b/packages/compat/agentiq_mem0ai/pyproject.toml @@ -0,0 +1,17 @@ +[build-system] +build-backend = "setuptools.build_meta" +requires = ["setuptools >= 64", "setuptools-scm>=8"] + + +[tool.setuptools_scm] +root = "../../.." + +[project] +name = "agentiq-mem0ai" +dynamic = ["version"] +dependencies = [ + "aiqtoolkit-mem0ai" +] +readme = "pypi.md" +description = "Transitional package for aiqtoolkit-mem0ai, this package is deprecated and will be removed in the future." +classifiers = ["Programming Language :: Python"] diff --git a/packages/compat/agentiq_semantic_kernel/pypi.md b/packages/compat/agentiq_semantic_kernel/pypi.md new file mode 100644 index 000000000..2012ef705 --- /dev/null +++ b/packages/compat/agentiq_semantic_kernel/pypi.md @@ -0,0 +1,21 @@ + + +# Transitional Package for `aiqtoolkit-semantic-kernel` +This is a transitional package for `aiqtoolkit-semantic-kernel` to help ease the migration to `aiqtoolkit-semantic-kernel`, and will be removed in a future release. It is recommended to use `aiqtoolkit-semantic-kernel` directly for new projects. + +For more information about AIQ Toolkit, please visit the [AIQ Toolkit package](https://pypi.org/project/aiqtoolkit-semantic-kernel/). diff --git a/packages/compat/agentiq_semantic_kernel/pyproject.toml b/packages/compat/agentiq_semantic_kernel/pyproject.toml new file mode 100644 index 000000000..85adbdbaa --- /dev/null +++ b/packages/compat/agentiq_semantic_kernel/pyproject.toml @@ -0,0 +1,16 @@ +[build-system] +build-backend = "setuptools.build_meta" +requires = ["setuptools >= 64", "setuptools-scm>=8"] + +[tool.setuptools_scm] +root = "../../.." + +[project] +name = "agentiq-semantic-kernel" +dynamic = ["version"] +dependencies = [ + "aiqtoolkit-semantic-kernel" +] +readme = "pypi.md" +description = "Transitional package for aiqtoolkit-semantic-kernel, this package is deprecated and will be removed in the future." +classifiers = ["Programming Language :: Python"] diff --git a/packages/compat/agentiq_test/pypi.md b/packages/compat/agentiq_test/pypi.md new file mode 100644 index 000000000..5c838f810 --- /dev/null +++ b/packages/compat/agentiq_test/pypi.md @@ -0,0 +1,21 @@ + + +# Transitional Package for `aiqtoolkit-test` +This is a transitional package for `aiqtoolkit-test` to help ease the migration to `aiqtoolkit-test`, and will be removed in a future release. It is recommended to use `aiqtoolkit-test` directly for new projects. + +For more information about AIQ Toolkit, please visit the [AIQ Toolkit package](https://pypi.org/project/aiqtoolkit-test/). diff --git a/packages/compat/agentiq_test/pyproject.toml b/packages/compat/agentiq_test/pyproject.toml new file mode 100644 index 000000000..055bd83ea --- /dev/null +++ b/packages/compat/agentiq_test/pyproject.toml @@ -0,0 +1,16 @@ +[build-system] +build-backend = "setuptools.build_meta" +requires = ["setuptools >= 64", "setuptools-scm>=8"] + +[tool.setuptools_scm] +root = "../../.." + +[project] +name = "agentiq-test" +dynamic = ["version"] +dependencies = [ + "aiqtoolkit-test" +] +readme = "pypi.md" +description = "Transitional package for aiqtoolkit-test, this package is deprecated and will be removed in the future." +classifiers = ["Programming Language :: Python"] diff --git a/packages/compat/agentiq_zep_cloud/pypi.md b/packages/compat/agentiq_zep_cloud/pypi.md new file mode 100644 index 000000000..0bcae0052 --- /dev/null +++ b/packages/compat/agentiq_zep_cloud/pypi.md @@ -0,0 +1,21 @@ + + +# Transitional Package for `aiqtoolkit-zep-cloud` +This is a transitional package for `aiqtoolkit-zep-cloud` to help ease the migration to `aiqtoolkit-zep-cloud`, and will be removed in a future release. It is recommended to use `aiqtoolkit-zep-cloud` directly for new projects. + +For more information about AIQ Toolkit, please visit the [AIQ Toolkit package](https://pypi.org/project/aiqtoolkit-zep-cloud/). diff --git a/packages/compat/agentiq_zep_cloud/pyproject.toml b/packages/compat/agentiq_zep_cloud/pyproject.toml new file mode 100644 index 000000000..834c77baf --- /dev/null +++ b/packages/compat/agentiq_zep_cloud/pyproject.toml @@ -0,0 +1,16 @@ +[build-system] +build-backend = "setuptools.build_meta" +requires = ["setuptools >= 64", "setuptools-scm>=8"] + +[tool.setuptools_scm] +root = "../../.." + +[project] +name = "agentiq-zep-cloud" +dynamic = ["version"] +dependencies = [ + "aiqtoolkit-zep-cloud" +] +readme = "pypi.md" +description = "Transitional package for aiqtoolkit-zep-cloud, this package is deprecated and will be removed in the future." +classifiers = ["Programming Language :: Python"] diff --git a/pyproject.toml b/pyproject.toml index dfc470b9e..d439c2dbb 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -113,7 +113,7 @@ aiq_agno_personal_finance = { path = "examples/agno_personal_finance", editable [tool.uv.workspace] members = ["packages/*"] - +exclude = ["packages/compat"] [dependency-groups] # Dependency groups are only for developers to aid in managing dependencies local to a dev machine. diff --git a/src/aiq/meta/pypi.md b/src/aiq/meta/pypi.md index b25ef25b4..1a142c7aa 100644 --- a/src/aiq/meta/pypi.md +++ b/src/aiq/meta/pypi.md @@ -6,7 +6,7 @@ Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at -http:/www.apache.org/licenses/LICENSE-2.0 +http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, From ca5ac3a2c5a00d74b7e485674669779196158bb7 Mon Sep 17 00:00:00 2001 From: liamy-nv Date: Wed, 30 Apr 2025 18:59:14 -0700 Subject: [PATCH 04/60] Add a tunable RAG evaluator (#110) Feature: a tunable RAG evaluator This PR adds a tunable RAG evaluator that allows for flexible evaluation of RAG workflows. It includes a default scoring mechanism based on an expected answer description rather than a ground truth answer. Key Points: - Full control over judge LLM prompt - Full control over scoring guidelines - Everything is configurable from the config file - No changes to dataset format other than answer format etc. Usage Example: ``` eval: evaluators: custom_rag_evaluation: _type: tunable_rag_evaluator llm_name: nim_rag_eval_llm default_scoring: false default_score_weights: coverage: 0.5 correctness: 0.3 relevance: 0.2 judge_llm_prompt: > You are an intelligent evaluator that scores the generated answer based on the description of the expected answer. The score is a measure of how well the generated answer matches the description of the expected answer based on the question. Take into account the question, the relevance of the answer to the question and the quality compared to the description of the expected answer. Rules: - The score must be a float of any value between 0.0 and 1.0 on a sliding scale. - The reasoning string must be concise and to the point. It should be 1 sentence and 2 only if extra description is needed. It must explain why the score was given and what is different between the generated answer and the expected answer. ``` ## By Submitting this PR I confirm: - I am familiar with the [Contributing Guidelines](https://github.com/NVIDIA/AgentIQ/blob/develop/docs/source/advanced/contributing.md). - We require that all contributors "sign-off" on their commits. This certifies that the contribution is your original work, or you have rights to submit it under the same license, or a compatible license. - Any contribution which contains commits that are not Signed-Off will not be accepted. - When the PR is ready for review, new or existing tests cover these changes. - When the PR is ready for review, the documentation is up to date with these changes. Authors: - https://github.com/liamy-nv - David Gardner (https://github.com/dagardner-nv) - Anuradha Karuppiah (https://github.com/AnuradhaKaruppiah) - Michael Demoret (https://github.com/mdemoret-nv) Approvers: - Anuradha Karuppiah (https://github.com/AnuradhaKaruppiah) URL: https://github.com/NVIDIA/AIQToolkit/pull/110 Signed-off-by: Yuchen Zhang --- docs/source/concepts/evaluate.md | 56 ++++ examples/simple_calculator/README.md | 11 + .../configs/config-tunable-rag-eval.yml | 99 +++++++ .../data/simple_calculator.json | 3 + src/aiq/eval/register.py | 1 + .../eval/tunable_rag_evaluator/__init__.py | 0 .../eval/tunable_rag_evaluator/evaluate.py | 263 ++++++++++++++++++ .../eval/tunable_rag_evaluator/register.py | 50 ++++ .../test_tunable_rag_evaluate.py | 139 +++++++++ 9 files changed, 622 insertions(+) create mode 100644 examples/simple_calculator/src/aiq_simple_calculator/configs/config-tunable-rag-eval.yml create mode 100644 examples/simple_calculator/src/aiq_simple_calculator/data/simple_calculator.json create mode 100644 src/aiq/eval/tunable_rag_evaluator/__init__.py create mode 100644 src/aiq/eval/tunable_rag_evaluator/evaluate.py create mode 100644 src/aiq/eval/tunable_rag_evaluator/register.py create mode 100644 tests/aiq/eval/tunable_rag_evaluator/test_tunable_rag_evaluate.py diff --git a/docs/source/concepts/evaluate.md b/docs/source/concepts/evaluate.md index fe0b28825..5fb7a91b4 100644 --- a/docs/source/concepts/evaluate.md +++ b/docs/source/concepts/evaluate.md @@ -208,6 +208,62 @@ eval: ``` The swe-bench evaluator uses unstructured dataset entries. The entire row is provided as input to the workflow. +### Tunable RAG Evaluator +The tunable RAG evaluator is a customizable LLM evaluator that allows for flexible evaluation of RAG workflows. +It includes a default scoring mechanism based on an expected answer description rather than a ground truth answer. + +The judge LLM prompt is tunable and can be provided in the `config.yml` file. + +A default scoring method is provided as follows: +- Coverage: Evaluates if the answer covers all mandatory elements of the expected answer. +- Correctness: Evaluates if the answer is correct compared to the expected answer. +- Relevance: Evaluates if the answer is relevant to the question. + +These weights can be optionally tuned by setting the `default_score_weights` parameter in the `config.yml` file. If not set, each score will be equally weighted. + +The default scoring can be overridden by setting the config boolean `default_scoring` to false and providing your own scoring mechanism which you describe in your custom judge LLM prompt. +Note: if you do choose to use the default scoring method, you are still able to tune the judge LLM prompt. + +**Example:** +`example/simple_calculator/configs/config-tunable-rag-eval.yml`: +```yaml +eval: + evaluators: + tuneable_eval: + _type: tunable_rag_evaluator + llm_name: nim_rag_eval_llm + default_scoring: false + default_score_weights: + coverage: 0.5 + correctness: 0.3 + relevance: 0.2 + judge_llm_prompt: > + You are an intelligent evaluator that scores the generated answer based on the description of the expected answer. + The score is a measure of how well the generated answer matches the description of the expected answer based on the question. + Take into account the question, the relevance of the answer to the question and the quality compared to the description of the expected answer. + + Rules: + - The score must be a float of any value between 0.0 and 1.0 on a sliding scale. + - The reasoning string must be concise and to the point. It should be 1 sentence and 2 only if extra description is needed. It must explain why the score was given and what is different between the generated answer and the expected answer. +``` + +Note: In your evaluation dataset, make sure that the `answer` field is a description of the expected answer with details on what is expected from the generated answer. + +**Example:** +`example/simple_calculator/configs/config-tunable-rag-eval.yml`: +```json +{ + "id": 1, + "question": "What is the product of 3 and 7, and is it greater than the current hour?", + "answer": "Answer must have the answer of product of 3 and 7 and whether it is greater than the current hour" +} +``` + +**Sample Usage:** +```bash +aiq eval --config_file=examples/simple_calculator/configs/config-tunable-rag-eval.yml +``` + ## Adding Custom Evaluators You can add custom evaluators to evaluate the workflow output. To add a custom evaluator, you need to implement the evaluator and register it with the AIQ Toolkit evaluator system. See the [Custom Evaluator](../guides/custom-evaluator.md) documentation for more information. diff --git a/examples/simple_calculator/README.md b/examples/simple_calculator/README.md index 57230af75..bda42e249 100644 --- a/examples/simple_calculator/README.md +++ b/examples/simple_calculator/README.md @@ -178,6 +178,17 @@ Workflow Result: ### Examine the Traces in Phoenix Open your browser and navigate to `http://localhost:6006` to view the traces. +## Accuracy Evaluation +The answers generated by the workflow can be evaluated using the `Tunable RAG Evaluator`[../../../docs/source/concepts/evaluate.md#tunable-rag-evaluator]. A sample dataset is provided in `examples/simple_calculator/data/simple_calculator.json`. + +To run the evaluation, use the `aiq eval` command: + +```bash +aiq eval --config_file examples/simple_calculator/configs/config-tunable-rag-eval.yml +``` + +The evaluation results will be saved in `examples/simple_calculator/.tmp/eval/simple_calculator/tuneable_eval_output.json`. + ## Deployment-Oriented Setup For a production deployment, use Docker: diff --git a/examples/simple_calculator/src/aiq_simple_calculator/configs/config-tunable-rag-eval.yml b/examples/simple_calculator/src/aiq_simple_calculator/configs/config-tunable-rag-eval.yml new file mode 100644 index 000000000..12715f393 --- /dev/null +++ b/examples/simple_calculator/src/aiq_simple_calculator/configs/config-tunable-rag-eval.yml @@ -0,0 +1,99 @@ +# SPDX-FileCopyrightText: Copyright (c) 2024-2025, NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +# SPDX-FileCopyrightText: Copyright (c) 2024-2025, NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +general: + use_uvloop: true + +functions: + calculator_multiply: + _type: calculator_multiply + calculator_inequality: + _type: calculator_inequality + calculator_divide: + _type: aiq_simple_calculator/calculator_divide + current_datetime: + _type: current_datetime + calculator_subtract: + _type: calculator_subtract + +llms: + nim_llm: + _type: nim + model_name: meta/llama-3.1-70b-instruct + temperature: 0.0 + max_tokens: 1024 + eval_llm: + _type: nim + model_name: mistralai/mixtral-8x22b-instruct-v0.1 + temperature: 0.0 + max_tokens: 1024 + openai_llm: + _type: openai + model_name: gpt-3.5-turbo + max_tokens: 2000 + +workflow: + _type: react_agent + tool_names: + - calculator_multiply + - calculator_inequality + - current_datetime + - calculator_divide + - calculator_subtract + llm_name: nim_llm + verbose: true + retry_parsing_errors: true + max_retries: 3 + + +eval: + general: + output_dir: examples/simple_calculator/.tmp/eval/simple_calculator + dataset: + _type: json + file_path: examples/simple_calculator/data/simple_calculator.json + evaluators: + tuneable_eval: + _type: tunable_rag_evaluator + llm_name: eval_llm + default_scoring: true + default_score_weights: + coverage: 0.5 + correctness: 0.3 + relevance: 0.2 + judge_llm_prompt: > + You are an intelligent evaluator that scores the generated answer based on the description of the expected answer. + The score is a measure of how well the generated answer matches the description of the expected answer based on the question. + Take into account the question, the relevance of the answer to the question and the quality compared to the description of the expected answer. + + Rules: + - The score must be a float of any value between 0.0 and 1.0 on a sliding scale. + - The reasoning string must be concise and to the point. It should be 1 sentence and 2 only if extra description is needed. It must explain why the score was given and what is different between the generated answer and the expected answer. + - The tags and are real images and charts. diff --git a/examples/simple_calculator/src/aiq_simple_calculator/data/simple_calculator.json b/examples/simple_calculator/src/aiq_simple_calculator/data/simple_calculator.json new file mode 100644 index 000000000..4400e07ac --- /dev/null +++ b/examples/simple_calculator/src/aiq_simple_calculator/data/simple_calculator.json @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b742cea2aac5b2e33878e6aa7cbce842bd8bd1527eede9711fa3b4677e9dd294 +size 13173 diff --git a/src/aiq/eval/register.py b/src/aiq/eval/register.py index 6dd166cc2..bb5ed436b 100644 --- a/src/aiq/eval/register.py +++ b/src/aiq/eval/register.py @@ -20,3 +20,4 @@ from .rag_evaluator.register import register_ragas_evaluator from .swe_bench_evaluator.register import register_swe_bench_evaluator from .trajectory_evaluator.register import register_trajectory_evaluator +from .tunable_rag_evaluator.register import register_tunable_rag_evaluator diff --git a/src/aiq/eval/tunable_rag_evaluator/__init__.py b/src/aiq/eval/tunable_rag_evaluator/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/src/aiq/eval/tunable_rag_evaluator/evaluate.py b/src/aiq/eval/tunable_rag_evaluator/evaluate.py new file mode 100644 index 000000000..4eb4d47e6 --- /dev/null +++ b/src/aiq/eval/tunable_rag_evaluator/evaluate.py @@ -0,0 +1,263 @@ +# SPDX-FileCopyrightText: Copyright (c) 2025, NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import asyncio +import logging + +from langchain.output_parsers import ResponseSchema +from langchain.output_parsers import StructuredOutputParser +from langchain.schema import HumanMessage +from langchain.schema import SystemMessage +from langchain_core.language_models import BaseChatModel +from tqdm import tqdm + +from aiq.eval.evaluator.evaluator_model import EvalInput +from aiq.eval.evaluator.evaluator_model import EvalInputItem +from aiq.eval.evaluator.evaluator_model import EvalOutput +from aiq.eval.evaluator.evaluator_model import EvalOutputItem +from aiq.eval.utils.tqdm_position_registry import TqdmPositionRegistry + +logger = logging.getLogger(__name__) + +# pylint: disable=line-too-long +# flake8: noqa: E501 + + +def evaluation_prompt(judge_llm_prompt: str, + question: str, + answer_description: str, + generated_answer: str, + format_instructions: str, + default_scoring: bool): + """ + This function generates a prompt for the judge LLM to evaluate the generated answer. + """ + + DEFAULT_SCORING_INSTRUCTIONS = """ + The coverage score is a measure of how well the generated answer covers the critical aspects mentioned in the expected answer. A low coverage score indicates that the generated answer misses critical aspects of the expected answer. A middle coverage score indicates that the generated answer covers some of the must-haves of the expected answer but lacks other details. A high coverage score indicates that all of the expected aspects are present in the generated answer. + The correctness score is a measure of how well the generated answer matches the expected answer. A low correctness score indicates that the generated answer is incorrect or does not match the expected answer. A middle correctness score indicates that the generated answer is correct but lacks some details. A high correctness score indicates that the generated answer is exactly the same as the expected answer. + The relevance score is a measure of how well the generated answer is relevant to the question. A low relevance score indicates that the generated answer is not relevant to the question. A middle relevance score indicates that the generated answer is somewhat relevant to the question. A high relevance score indicates that the generated answer is exactly relevant to the question. + The reasoning is a 1-2 sentence explanation for the scoring. + """ + + DEFAULT_EVAL_PROMPT = (f"You are an intelligent assistant that responds strictly in JSON format." + f"Judge based on the following scoring rubric: {DEFAULT_SCORING_INSTRUCTIONS}" + f"{judge_llm_prompt}\n" + f"{format_instructions}\n" + f"Here is the user's query: {question}" + f"Here is the description of the expected answer: {answer_description}" + f"Here is the generated answer: {generated_answer}") + + EVAL_PROMPT = (f"You are an intelligent assistant that responds strictly in JSON format. {judge_llm_prompt}\n" + f"{format_instructions}\n" + f"Here is the user's query: {question}" + f"Here is the description of the expected answer: {answer_description}" + f"Here is the generated answer: {generated_answer}") + + return EVAL_PROMPT if not default_scoring else DEFAULT_EVAL_PROMPT + + +class TunableRagEvaluator: + '''Tunable RAG evaluator class with customizable LLM prompt for scoring.''' + + def __init__(self, + llm: BaseChatModel, + judge_llm_prompt: str, + max_concurrency: int, + default_scoring: bool, + default_score_weights: dict): + self.llm = llm + self.max_concurrency = max_concurrency + self.judge_llm_prompt = judge_llm_prompt + self.semaphore = asyncio.Semaphore(self.max_concurrency) + self.default_scoring = default_scoring + # Use user-provided weights if available; otherwise, set equal weights for each score + self.default_score_weights = default_score_weights if default_score_weights else { + "coverage": 1 / 3, "correctness": 1 / 3, "relevance": 1 / 3 + } + + async def evaluate(self, eval_input: EvalInput) -> EvalOutput: + '''Evaluate function''' + + async def process_item(item): + """Compute RAG evaluation for an individual item""" + question = item.input_obj + answer_description = item.expected_output_obj + generated_answer = item.output_obj + + # Call judge LLM to generate score + score = 0.0 + + default_evaluation_schema = [ + ResponseSchema( + name="coverage_score", + description= + "Score for the coverage of all critical aspects mentioned in the expected answer. Ex. 0.5", + type="float"), + ResponseSchema( + name="correctness_score", + description= + "Score for the accuracy of the generated answer compared to the expected answer. Ex. 0.5", + type="float"), + ResponseSchema(name="relevance_score", + description="Score for the relevance of the generated answer to the question. Ex. 0.5", + type="float"), + ResponseSchema( + name="reasoning", + description= + "1-2 summarized sentences of reasoning for the scores. Ex. 'The generated answer covers all critical aspects mentioned in the expected answer, is correct, and is relevant to the question.'", + type="string"), + ] + + custom_evaluation_schema = [ + ResponseSchema(name="score", description="Score for the generated answer. Ex. 0.5", type="float"), + ResponseSchema( + name="reasoning", + description= + "1-2 sentence reasoning for the score. Ex. 'The generated answer is exactly the same as the description of the expected answer.'", + type="string"), + ] + + if self.default_scoring: + evaluation_schema = default_evaluation_schema + else: + evaluation_schema = custom_evaluation_schema + + llm_input_response_parser = StructuredOutputParser.from_response_schemas(evaluation_schema) + format_instructions = llm_input_response_parser.get_format_instructions() + + eval_prompt = evaluation_prompt(judge_llm_prompt=self.judge_llm_prompt, + question=question, + answer_description=answer_description, + generated_answer=generated_answer, + format_instructions=format_instructions, + default_scoring=self.default_scoring) + + messages = [ + SystemMessage(content="You must respond only in JSON format."), HumanMessage(content=eval_prompt) + ] + + response = await self.llm.ainvoke(messages) + + # Initialize default values to handle service errors + coverage_score = 0.0 + correctness_score = 0.0 + relevance_score = 0.0 + reasoning = "Error in evaluator from parsing judge LLM response." + + try: + parsed_response = llm_input_response_parser.parse(response.content) + if self.default_scoring: + try: + coverage_score = parsed_response["coverage_score"] + correctness_score = parsed_response["correctness_score"] + relevance_score = parsed_response["relevance_score"] + reasoning = parsed_response["reasoning"] + except KeyError as e: + logger.error("Missing required keys in default scoring response: %s", + ", ".join(str(arg) for arg in e.args)) + reasoning = f"Error in evaluator from parsing judge LLM response. Missing required key(s): {', '.join(str(arg) for arg in e.args)}" + + coverage_weight = self.default_score_weights.get("coverage", 1 / 3) + correctness_weight = self.default_score_weights.get("correctness", 1 / 3) + relevance_weight = self.default_score_weights.get("relevance", 1 / 3) + + # Calculate score + total_weight = coverage_weight + correctness_weight + relevance_weight + coverage_weight = coverage_weight / total_weight + correctness_weight = correctness_weight / total_weight + relevance_weight = relevance_weight / total_weight + + if round(coverage_weight + correctness_weight + relevance_weight, 2) != 1: + logger.warning("The sum of the default score weights is not 1. The weights will be normalized.") + coverage_weight = coverage_weight / (coverage_weight + correctness_weight + relevance_weight) + correctness_weight = correctness_weight / (coverage_weight + correctness_weight + + relevance_weight) + relevance_weight = relevance_weight / (coverage_weight + correctness_weight + relevance_weight) + + score = (coverage_weight * coverage_score + correctness_weight * correctness_score + + relevance_weight * relevance_score) + + else: + try: + score = parsed_response["score"] + reasoning = parsed_response["reasoning"] + except KeyError as e: + logger.error("Missing required keys in custom scoring response: %s", + ", ".join(str(arg) for arg in e.args)) + reasoning = f"Error in evaluator from parsing judge LLM response. Missing required key(s): {', '.join(str(arg) for arg in e.args)}" + raise + except (KeyError, ValueError) as e: + logger.error("Error parsing judge LLM response: %s", e) + score = 0.0 + reasoning = "Error in evaluator from parsing judge LLM response." + + if self.default_scoring: + reasoning = { + "question": question, + "answer_description": answer_description, + "generated_answer": generated_answer, + "score_breakdown": { + "coverage_score": coverage_score, + "correctness_score": correctness_score, + "relevance_score": relevance_score, + }, + "reasoning": reasoning, + } + else: + reasoning = { + "question": question, + "answer_description": answer_description, + "generated_answer": generated_answer, + "reasoning": reasoning + } + + return score, reasoning + + async def wrapped_process(item: EvalInputItem) -> tuple[float, dict]: + """ + Process an item asynchronously and update the progress bar. + Use the semaphore to limit the number of concurrent items. + """ + async with self.semaphore: + result = await process_item(item) + # Update the progress bar + pbar.update(1) + return result + + try: + # Claim a tqdm position to display the progress bar + tqdm_position = TqdmPositionRegistry.claim() + # Create a progress bar + pbar = tqdm(total=len(eval_input.eval_input_items), desc="Evaluating RAG", position=tqdm_position) + # Process items concurrently with a limit on concurrency + results = await asyncio.gather(*[wrapped_process(item) for item in eval_input.eval_input_items]) + finally: + pbar.close() + TqdmPositionRegistry.release(tqdm_position) + + # Extract scores and reasonings + sample_scores, sample_reasonings = zip(*results) if results else ([], []) + + # Compute average score + avg_score = round(sum(sample_scores) / len(sample_scores), 2) if sample_scores else 0.0 + + # Construct EvalOutputItems + eval_output_items = [ + EvalOutputItem(id=item.id, score=score, reasoning=reasoning) + for item, score, reasoning in zip(eval_input.eval_input_items, sample_scores, sample_reasonings) + ] + + return EvalOutput(average_score=avg_score, eval_output_items=eval_output_items) diff --git a/src/aiq/eval/tunable_rag_evaluator/register.py b/src/aiq/eval/tunable_rag_evaluator/register.py new file mode 100644 index 000000000..43d0c93be --- /dev/null +++ b/src/aiq/eval/tunable_rag_evaluator/register.py @@ -0,0 +1,50 @@ +# SPDX-FileCopyrightText: Copyright (c) 2025, NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +from pydantic import Field + +from aiq.builder.builder import EvalBuilder +from aiq.builder.evaluator import EvaluatorInfo +from aiq.builder.framework_enum import LLMFrameworkEnum +from aiq.cli.register_workflow import register_evaluator +from aiq.data_models.component_ref import LLMRef +from aiq.data_models.evaluator import EvaluatorBaseConfig + + +class TunableRagEvaluatorConfig(EvaluatorBaseConfig, name="tunable_rag_evaluator"): + '''Configuration for tunable RAG evaluator''' + llm_name: LLMRef = Field(description="Name of the judge LLM") + judge_llm_prompt: str = Field(description="LLM prompt for the judge LLM") + default_scoring: bool = Field(description="Whether to use default scoring", default=False) + default_score_weights: dict = Field( + default={ + "coverage": 0.5, "correctness": 0.3, "relevance": 0.2 + }, + description="Weights for the different scoring components when using default scoring") + + +@register_evaluator(config_type=TunableRagEvaluatorConfig) +async def register_tunable_rag_evaluator(config: TunableRagEvaluatorConfig, builder: EvalBuilder): + '''Register tunable RAG evaluator''' + from .evaluate import TunableRagEvaluator + + llm = await builder.get_llm(config.llm_name, wrapper_type=LLMFrameworkEnum.LANGCHAIN) + evaluator = TunableRagEvaluator(llm, + config.judge_llm_prompt, + builder.get_max_concurrency(), + config.default_scoring, + config.default_score_weights) + + yield EvaluatorInfo(config=config, evaluate_fn=evaluator.evaluate, description="Tunable RAG Evaluator") diff --git a/tests/aiq/eval/tunable_rag_evaluator/test_tunable_rag_evaluate.py b/tests/aiq/eval/tunable_rag_evaluator/test_tunable_rag_evaluate.py new file mode 100644 index 000000000..0f37c5923 --- /dev/null +++ b/tests/aiq/eval/tunable_rag_evaluator/test_tunable_rag_evaluate.py @@ -0,0 +1,139 @@ +# SPDX-FileCopyrightText: Copyright (c) 2025, NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +from unittest.mock import AsyncMock +from unittest.mock import MagicMock + +import pytest +from langchain_core.language_models import BaseChatModel + +from aiq.eval.evaluator.evaluator_model import EvalInput +from aiq.eval.evaluator.evaluator_model import EvalInputItem +from aiq.eval.evaluator.evaluator_model import EvalOutput +from aiq.eval.tunable_rag_evaluator.evaluate import TunableRagEvaluator + + +@pytest.fixture +def mock_llm(): + return MagicMock(spec=BaseChatModel) + + +@pytest.fixture +def default_score_weights(): + return {"coverage": 1, "correctness": 1, "relevance": 1} + + +@pytest.fixture +def rag_eval_input(): + items = [ + EvalInputItem(id="1", + input_obj="What is AI?", + expected_output_obj="AI is artificial intelligence.", + output_obj="AI is the simulation of human intelligence.", + expected_trajectory=[], + trajectory=[]), + EvalInputItem(id="2", + input_obj="Define ML", + expected_output_obj="Machine Learning is a subset of AI.", + output_obj="ML helps machines learn.", + expected_trajectory=[], + trajectory=[]) + ] + return EvalInput(eval_input_items=items) + + +@pytest.fixture +def evaluator(mock_llm, default_score_weights): + return TunableRagEvaluator(llm=mock_llm, + judge_llm_prompt="Please evaluate the answer.", + max_concurrency=2, + default_scoring=True, + default_score_weights=default_score_weights) + + +async def test_evaluate_success(evaluator, rag_eval_input): + """Test successful evaluation using TunableRagEvaluator with mocked LLM.""" + + # Mock LLM response content + evaluator.llm.ainvoke = AsyncMock(side_effect=[ + MagicMock(content='{"coverage_score": 0.9, "correctness_score": 0.8,\ + "relevance_score": 0.7, "reasoning": "Solid answer."}'), + MagicMock(content='{"coverage_score": 0.6, "correctness_score": 0.7,\ + "relevance_score": 0.8, "reasoning": "Good effort."}') + ]) + + eval_output: EvalOutput = await evaluator.evaluate(rag_eval_input) + + assert isinstance(eval_output, EvalOutput) + assert len(eval_output.eval_output_items) == 2 + + for item in eval_output.eval_output_items: + assert item.score > 0 + assert isinstance(item.reasoning, dict) + assert "reasoning" in item.reasoning + + assert round(eval_output.average_score, 2) > 0.0 + + +async def test_evaluate_partial_failure(evaluator, rag_eval_input): + """Test partial failure where one LLM response is invalid.""" + + # One successful, one broken response + evaluator.llm.ainvoke = AsyncMock(side_effect=[ + MagicMock( + content='{"coverage_score": 0.9, "correctness_score": 0.9, "relevance_score": 0.9, "reasoning": "Perfect."}' + ), + MagicMock(content='INVALID JSON RESPONSE') + ]) + + eval_output: EvalOutput = await evaluator.evaluate(rag_eval_input) + + assert len(eval_output.eval_output_items) == 2 + + successful_item = next(item for item in eval_output.eval_output_items if item.score > 0) + failed_item = next(item for item in eval_output.eval_output_items if item.score == 0) + + assert "Perfect" in successful_item.reasoning["reasoning"] + assert "parsing judge LLM response" in failed_item.reasoning["reasoning"] + + assert eval_output.average_score > 0 + assert eval_output.average_score < 1 + + +async def test_evaluate_custom_scoring(): + """Test custom scoring mode (not default)""" + + llm = MagicMock(spec=BaseChatModel) + evaluator = TunableRagEvaluator(llm=llm, + judge_llm_prompt="Score this answer.", + max_concurrency=1, + default_scoring=False, + default_score_weights={}) + + input_data = EvalInput(eval_input_items=[ + EvalInputItem(id="1", + input_obj="What is NLP?", + expected_output_obj="Study of language processing", + output_obj="It's about language.", + expected_trajectory=[], + trajectory=[]) + ]) + + llm.ainvoke = AsyncMock(return_value=MagicMock(content='{"score": 0.75, "reasoning": "Fair explanation."}')) + + output = await evaluator.evaluate(input_data) + assert len(output.eval_output_items) == 1 + assert output.eval_output_items[0].score == 0.75 + assert output.eval_output_items[0].reasoning["reasoning"] == "Fair explanation." From f2fc50bb6e00b27f43dfe74b266138fb1afec7c5 Mon Sep 17 00:00:00 2001 From: Matthew Penn Date: Thu, 1 May 2025 11:58:38 -0400 Subject: [PATCH 05/60] CLI Documentation fixes in remote registry configuration section (#184) Closes https://github.com/NVIDIA/AIQToolkit/issues/183 This PR fixes errors in the CLI documentation. The section that describes the CLI commands to update locally configured remote registry channels is incorrect. The following command changes are implemented: `aiq configure registry update` is modified to `aiq configure channel update` ## By Submitting this PR I confirm: - I am familiar with the [Contributing Guidelines](https://github.com/NVIDIA/AIQToolkit/blob/develop/docs/source/advanced/contributing.md). - We require that all contributors "sign-off" on their commits. This certifies that the contribution is your original work, or you have rights to submit it under the same license, or a compatible license. - Any contribution which contains commits that are not Signed-Off will not be accepted. - When the PR is ready for review, new or existing tests cover these changes. - When the PR is ready for review, the documentation is up to date with these changes. Authors: - Matthew Penn (https://github.com/mpenn) Approvers: - David Gardner (https://github.com/dagardner-nv) URL: https://github.com/NVIDIA/AIQToolkit/pull/184 Signed-off-by: Yuchen Zhang --- docs/source/concepts/cli.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/source/concepts/cli.md b/docs/source/concepts/cli.md index d5c5a4bc5..62b1a1d60 100644 --- a/docs/source/concepts/cli.md +++ b/docs/source/concepts/cli.md @@ -494,7 +494,7 @@ Search Route: simple # The route use when searching for relevant AIQ Toolkit pa #### Updating a Remote Registry Channel Configuration At some point, a developer might need to update a remote registry channel's configuration settings. In this case, -using the `aiq configure registry update` command will select a remote registry by its locally unique name and allow +using the `aiq configure channel update` command will select a remote registry channel by its locally unique name and allow the developer to override the configuration settings. A usage example is provided below: From 8bcaada8df7acc622fae667c2c779b28ee22f457 Mon Sep 17 00:00:00 2001 From: David Gardner <96306125+dagardner-nv@users.noreply.github.com> Date: Thu, 1 May 2025 09:49:06 -0700 Subject: [PATCH 06/60] Fix uploading of transitional packages (#187) ## By Submitting this PR I confirm: - I am familiar with the [Contributing Guidelines](https://github.com/NVIDIA/AIQToolkit/blob/develop/docs/source/advanced/contributing.md). - We require that all contributors "sign-off" on their commits. This certifies that the contribution is your original work, or you have rights to submit it under the same license, or a compatible license. - Any contribution which contains commits that are not Signed-Off will not be accepted. - When the PR is ready for review, new or existing tests cover these changes. - When the PR is ready for review, the documentation is up to date with these changes. Authors: - David Gardner (https://github.com/dagardner-nv) Approvers: - Anuradha Karuppiah (https://github.com/AnuradhaKaruppiah) URL: https://github.com/NVIDIA/AIQToolkit/pull/187 Signed-off-by: Yuchen Zhang --- ci/scripts/github/build_wheel.sh | 10 ++-- ci/scripts/gitlab/artifactory_upload.sh | 63 ++++++++++++++----------- ci/scripts/gitlab/build_wheel.sh | 7 +-- 3 files changed, 42 insertions(+), 38 deletions(-) diff --git a/ci/scripts/github/build_wheel.sh b/ci/scripts/github/build_wheel.sh index 8896fbfce..315a39ac4 100755 --- a/ci/scripts/github/build_wheel.sh +++ b/ci/scripts/github/build_wheel.sh @@ -19,7 +19,8 @@ set -e GITHUB_SCRIPT_DIR="$( cd "$( dirname "${BASH_SOURCE[0]}" )" &> /dev/null && pwd )" source ${GITHUB_SCRIPT_DIR}/common.sh -WHEELS_DIR=${WORKSPACE_TMP}/wheels/aiqtoolkit +WHEELS_BASE_DIR="${WORKSPACE_TMP}/wheels" +WHEELS_DIR="${WHEELS_BASE_DIR}/aiqtoolkit" create_env extra:all @@ -32,11 +33,6 @@ function get_git_tag() { GIT_TAG=$(get_git_tag) rapids-logger "Git Version: ${GIT_TAG}" -function build_wheel() { - rapids-logger "Building Wheel for $1" - uv build --wheel --no-progress --out-dir "${WHEELS_DIR}/$2" --directory $1 -} - build_wheel . "aiqtoolkit/${GIT_TAG}" @@ -52,8 +48,8 @@ for AIQ_PACKAGE in "${AIQ_PACKAGES[@]}"; do build_package_wheel ${AIQ_PACKAGE} done -WHEELS_DIR=${WORKSPACE_TMP}/wheels/agentiq if [[ "${BUILD_AIQ_COMPAT}" == "true" ]]; then + WHEELS_DIR="${WHEELS_BASE_DIR}/agentiq" for AIQ_COMPAT_PACKAGE in "${AIQ_COMPAT_PACKAGES[@]}"; do build_package_wheel ${AIQ_COMPAT_PACKAGE} done diff --git a/ci/scripts/gitlab/artifactory_upload.sh b/ci/scripts/gitlab/artifactory_upload.sh index d1afe0910..e842f4757 100755 --- a/ci/scripts/gitlab/artifactory_upload.sh +++ b/ci/scripts/gitlab/artifactory_upload.sh @@ -32,10 +32,11 @@ fi # Define variables AIQ_ARCH="any" AIQ_OS="any" -AIQ_COMPONENT_NAME="aiqtoolkit" + +AIQ_COMPONENTS=("aiqtoolkit" "agentiq") WHEELS_BASE_DIR="${CI_PROJECT_DIR}/.tmp/wheels" -WHEELS_DIR="${WHEELS_BASE_DIR}/${AIQ_COMPONENT_NAME}" + # Define the subdirectories to be exclude EXCLUDE_SUBDIRS=("examples") @@ -70,8 +71,8 @@ if [[ "${UPLOAD_TO_ARTIFACTORY}" != "true" && "${LIST_ARTIFACTORY_CONTENTS}" != fi # Ensure wheels exist before uploading (including subdirectories) -if [[ ! -d "$WHEELS_DIR" || -z "$(find "$WHEELS_DIR" -type f -name "*.whl" 2>/dev/null)" ]]; then - echo "No wheels found in $WHEELS_DIR or its subdirectories. Exiting." +if [[ ! -d "$WHEELS_BASE_DIR" || -z "$(find "$WHEELS_BASE_DIR" -type f -name "*.whl" 2>/dev/null)" ]]; then + echo "No wheels found in $WHEELS_BASE_DIR or its subdirectories. Exiting." exit 1 fi @@ -86,33 +87,39 @@ install_jfrog_cli # Upload wheels if enabled if [[ "${UPLOAD_TO_ARTIFACTORY}" == "true" ]]; then - for SUBDIR in $(find "${WHEELS_DIR}" -mindepth 1 -maxdepth 1 -type d); do - SUBDIR_NAME=$(basename "${SUBDIR}") - - # Skip directories listed in EXCLUDE_SUBDIRS - if [[ " ${EXCLUDE_SUBDIRS[@]} " =~ " ${SUBDIR_NAME} " ]]; then - echo "Skipping excluded directory: ${SUBDIR_NAME}" - continue - fi - - echo "Uploading wheels from ${SUBDIR} to Artifactory..." - - # Find all .whl files in the current subdirectory (no depth limit) - find "${SUBDIR}" -type f -name "*.whl" | while read -r WHEEL_FILE; do - # Extract relative path to preserve directory structure - RELATIVE_PATH="${WHEEL_FILE#${WHEELS_BASE_DIR}/}" - ARTIFACTORY_PATH="${AIQ_ARTIFACTORY_NAME}/${RELATIVE_PATH}" - - echo "Uploading ${WHEEL_FILE} to ${ARTIFACTORY_PATH}..." - - CI=true jf rt u --fail-no-op --url="${AIQ_ARTIFACTORY_URL}" \ - --user="${URM_USER}" --password="${URM_API_KEY}" \ - --flat=false "${WHEEL_FILE}" "${ARTIFACTORY_PATH}" \ - --target-props "arch=${AIQ_ARCH};os=${AIQ_OS};branch=${GIT_TAG};component_name=${AIQ_COMPONENT_NAME};version=${GIT_TAG};release_approver=${RELEASE_APPROVER};release_status=${RELEASE_STATUS}" + for AIQ_COMPONENT_NAME in ${AIQ_COMPONENTS[@]}; do + WHEELS_DIR="${WHEELS_BASE_DIR}/${AIQ_COMPONENT_NAME}" + rapids-logger "AIQ Component : ${AIQ_COMPONENT_NAME} Dir : ${WHEELS_DIR}" + + for SUBDIR in $(find "${WHEELS_DIR}" -mindepth 1 -maxdepth 1 -type d); do + SUBDIR_NAME=$(basename "${SUBDIR}") + + # Skip directories listed in EXCLUDE_SUBDIRS + if [[ " ${EXCLUDE_SUBDIRS[@]} " =~ " ${SUBDIR_NAME} " ]]; then + echo "Skipping excluded directory: ${SUBDIR_NAME}" + continue + fi + + echo "Uploading wheels from ${SUBDIR} to Artifactory..." + + # Find all .whl files in the current subdirectory (no depth limit) + find "${SUBDIR}" -type f -name "*.whl" | while read -r WHEEL_FILE; do + # Extract relative path to preserve directory structure + RELATIVE_PATH="${WHEEL_FILE#${WHEELS_BASE_DIR}/}" + ARTIFACTORY_PATH="${AIQ_ARTIFACTORY_NAME}/${RELATIVE_PATH}" + + echo "Uploading ${WHEEL_FILE} to ${ARTIFACTORY_PATH}..." + + CI=true jf rt u --fail-no-op --url="${AIQ_ARTIFACTORY_URL}" \ + --user="${URM_USER}" --password="${URM_API_KEY}" \ + --flat=false "${WHEEL_FILE}" "${ARTIFACTORY_PATH}" \ + --target-props "arch=${AIQ_ARCH};os=${AIQ_OS};branch=${GIT_TAG};component_name=${AIQ_COMPONENT_NAME};version=${GIT_TAG};release_approver=${RELEASE_APPROVER};release_status=${RELEASE_STATUS}" + done done done + rapids-logger "All wheels uploaded to Artifactory." else - echo "UPLOAD_TO_ARTIFACTORY is set to 'false'. Skipping upload." + rapids-logger "UPLOAD_TO_ARTIFACTORY is set to 'false'. Skipping upload." fi # List Artifactory contents (disabled by default as the output is very verbose) diff --git a/ci/scripts/gitlab/build_wheel.sh b/ci/scripts/gitlab/build_wheel.sh index 134674cf4..5df92b826 100755 --- a/ci/scripts/gitlab/build_wheel.sh +++ b/ci/scripts/gitlab/build_wheel.sh @@ -27,8 +27,8 @@ if [[ "${CI_CRON_NIGHTLY}" == "1" ]]; then export SETUPTOOLS_SCM_PRETEND_VERSION="${GIT_TAG}" fi - -WHEELS_DIR=${CI_PROJECT_DIR}/.tmp/wheels/aiqtoolkit +WHEELS_BASE_DIR="${CI_PROJECT_DIR}/.tmp/wheels" +WHEELS_DIR="${WHEELS_BASE_DIR}/aiqtoolkit" create_env extra:all @@ -47,6 +47,7 @@ for AIQ_PACKAGE in "${AIQ_PACKAGES[@]}"; do done if [[ "${BUILD_AIQ_COMPAT}" == "true" ]]; then + WHEELS_DIR="${WHEELS_BASE_DIR}/agentiq" for AIQ_COMPAT_PACKAGE in "${AIQ_COMPAT_PACKAGES[@]}"; do build_package_wheel ${AIQ_COMPAT_PACKAGE} done @@ -65,5 +66,5 @@ if [[ "${CI_COMMIT_BRANCH}" == "${CI_DEFAULT_BRANCH}" || "${CI_COMMIT_BRANCH}" = --non-interactive \ --repository-url "${CI_API_V4_URL}/projects/${CI_PROJECT_ID}/packages/pypi" \ "${WHEEL_FILE}" - done < <(find "${WHEELS_DIR}" -type f -name "*.whl") + done < <(find "${WHEELS_BASE_DIR}" -type f -name "*.whl") fi From c1561f6320bd4a6b4249c930f8b420d7675ffd8f Mon Sep 17 00:00:00 2001 From: Yuchen Zhang <134643420+yczhang-nv@users.noreply.github.com> Date: Thu, 1 May 2025 10:30:25 -0700 Subject: [PATCH 07/60] Update `AIQChatRequest` to support image and audio input (#182) * support python 3.11 Signed-off-by: Yuchen Zhang * fix doc Signed-off-by: Yuchen Zhang * update pyproject.toml Signed-off-by: Yuchen Zhang * update uv.lock Signed-off-by: Yuchen Zhang * update README to specify Python version requirements Signed-off-by: Yuchen Zhang * resolve comments Signed-off-by: Yuchen Zhang * fix comments Signed-off-by: Yuchen Zhang * add support of ImageContext and AudioContext to AIQChatRequest Signed-off-by: Yuchen Zhang --------- Signed-off-by: Yuchen Zhang --- src/aiq/data_models/api_server.py | 118 +++++++++++++++++------------- 1 file changed, 67 insertions(+), 51 deletions(-) diff --git a/src/aiq/data_models/api_server.py b/src/aiq/data_models/api_server.py index 05276b7dc..32e61f41f 100644 --- a/src/aiq/data_models/api_server.py +++ b/src/aiq/data_models/api_server.py @@ -32,8 +32,57 @@ from aiq.utils.type_converter import GlobalTypeConverter +class ChatContentType(str, Enum): + """ + ChatContentType is an Enum that represents the type of Chat content. + """ + TEXT = "text" + IMAGE_URL = "image_url" + INPUT_AUDIO = "input_audio" + + +class InputAudio(BaseModel): + data: str = "default" + format: str = "default" + + +class AudioContent(BaseModel): + model_config = ConfigDict(extra="forbid") + + type: typing.Literal[ChatContentType.INPUT_AUDIO] = ChatContentType.INPUT_AUDIO + input_audio: InputAudio = InputAudio() + + +class ImageUrl(BaseModel): + url: HttpUrl = HttpUrl(url="http://default.com") + + +class ImageContent(BaseModel): + model_config = ConfigDict(extra="forbid") + + type: typing.Literal[ChatContentType.IMAGE_URL] = ChatContentType.IMAGE_URL + image_url: ImageUrl = ImageUrl() + + +class TextContent(BaseModel): + model_config = ConfigDict(extra="forbid") + + type: typing.Literal[ChatContentType.TEXT] = ChatContentType.TEXT + text: str = "default" + + +class Security(BaseModel): + model_config = ConfigDict(extra="forbid") + + api_key: str = "default" + token: str = "default" + + +UserContent = typing.Annotated[TextContent | ImageContent | AudioContent, Discriminator("type")] + + class Message(BaseModel): - content: str + content: str | list[UserContent] role: str @@ -65,6 +114,20 @@ def from_string(data: str, max_tokens=max_tokens, top_p=top_p) + @staticmethod + def from_content(content: list[UserContent], + *, + model: str | None = None, + temperature: float | None = None, + max_tokens: int | None = None, + top_p: float | None = None) -> "AIQChatRequest": + + return AIQChatRequest(messages=[Message(content=content, role="user")], + model=model, + temperature=temperature, + max_tokens=max_tokens, + top_p=top_p) + class AIQChoiceMessage(BaseModel): content: str | None = None @@ -231,15 +294,6 @@ class UserMessageContentRoleType(str, Enum): ASSISTANT = "assistant" -class ChatContentType(str, Enum): - """ - ChatContentType is an Enum that represents the type of Chat content. - """ - TEXT = "text" - IMAGE_URL = "image_url" - INPUT_AUDIO = "input_audio" - - class WebSocketMessageType(str, Enum): """ WebSocketMessageType is an Enum that represents WebSocket Message types. @@ -270,46 +324,6 @@ class WebSocketMessageStatus(str, Enum): COMPLETE = "complete" -class InputAudio(BaseModel): - data: str = "default" - format: str = "default" - - -class AudioContent(BaseModel): - model_config = ConfigDict(extra="forbid") - - type: typing.Literal[ChatContentType.INPUT_AUDIO] = ChatContentType.INPUT_AUDIO - input_audio: InputAudio = InputAudio() - - -class ImageUrl(BaseModel): - url: HttpUrl = HttpUrl(url="http://default.com") - - -class ImageContent(BaseModel): - model_config = ConfigDict(extra="forbid") - - type: typing.Literal[ChatContentType.IMAGE_URL] = ChatContentType.IMAGE_URL - image_url: ImageUrl = ImageUrl() - - -class TextContent(BaseModel): - model_config = ConfigDict(extra="forbid") - - type: typing.Literal[ChatContentType.TEXT] = ChatContentType.TEXT - text: str = "default" - - -class Security(BaseModel): - model_config = ConfigDict(extra="forbid") - - api_key: str = "default" - token: str = "default" - - -UserContent = typing.Annotated[TextContent | ImageContent | AudioContent, Discriminator("type")] - - class UserMessages(BaseModel): model_config = ConfigDict(extra="forbid") @@ -487,7 +501,9 @@ def _generate_response_to_chat_response(response: AIQGenerateResponse) -> AIQCha # ======== AIQChatRequest Converters ======== def _aiq_chat_request_to_string(data: AIQChatRequest) -> str: - return data.messages[-1].content + if isinstance(data.messages[-1].content, str): + return data.messages[-1].content + return str(data.messages[-1].content) GlobalTypeConverter.register_converter(_aiq_chat_request_to_string) From 0202e10c416f00a8a9ba451af5c1d460979b43c7 Mon Sep 17 00:00:00 2001 From: Anuradha Karuppiah Date: Thu, 1 May 2025 12:09:34 -0700 Subject: [PATCH 08/60] Fix hyperlink ins the simple_calculator README (#188) Rendered doc here: https://github.com/AnuradhaKaruppiah/oss-agentiq/blob/doc-typo/examples/simple_calculator/README.md#accuracy-evaluation ## By Submitting this PR I confirm: - I am familiar with the [Contributing Guidelines](https://github.com/NVIDIA/AIQToolkit/blob/develop/docs/source/advanced/contributing.md). - We require that all contributors "sign-off" on their commits. This certifies that the contribution is your original work, or you have rights to submit it under the same license, or a compatible license. - Any contribution which contains commits that are not Signed-Off will not be accepted. - When the PR is ready for review, new or existing tests cover these changes. - When the PR is ready for review, the documentation is up to date with these changes. Authors: - Anuradha Karuppiah (https://github.com/AnuradhaKaruppiah) Approvers: - David Gardner (https://github.com/dagardner-nv) URL: https://github.com/NVIDIA/AIQToolkit/pull/188 Signed-off-by: Yuchen Zhang --- examples/simple_calculator/README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/examples/simple_calculator/README.md b/examples/simple_calculator/README.md index bda42e249..04b553a3f 100644 --- a/examples/simple_calculator/README.md +++ b/examples/simple_calculator/README.md @@ -179,7 +179,7 @@ Workflow Result: Open your browser and navigate to `http://localhost:6006` to view the traces. ## Accuracy Evaluation -The answers generated by the workflow can be evaluated using the `Tunable RAG Evaluator`[../../../docs/source/concepts/evaluate.md#tunable-rag-evaluator]. A sample dataset is provided in `examples/simple_calculator/data/simple_calculator.json`. +The answers generated by the workflow can be evaluated using the [Tunable RAG Evaluator](../../docs/source/concepts/evaluate.md#tunable-rag-evaluator). A sample dataset is provided in `examples/simple_calculator/data/simple_calculator.json`. To run the evaluation, use the `aiq eval` command: From 91eb97cb81bed8c1ac36406a21fe744791e04231 Mon Sep 17 00:00:00 2001 From: Ayush Thakur Date: Fri, 2 May 2025 03:30:53 +0530 Subject: [PATCH 09/60] Add support for fine-grained tracing using W&B Weave (#170) Closes This PR adds support tracing of AIQ intemediate steps and the underlying framework (Langchain, CrewAI, etc.) using Weights and Biases [Weave](https://weave-docs.wandb.ai) platform for better interactivity and off-the-shelf LLMOps life-cycle. As a user all you need to do is update the `config.yaml` with the following: ``` general: use_uvloop: true telemetry: tracing: weave: _type: weave entity: project: my-awesome-genai-app ``` An example trace timeline logged to Weave: image View more traces in this project: https://wandb.ai/ayut/simple_calculator/weave/traces?view=traces_default cc: @mdemoret-nv This PR was opened in favor of #135 ## By Submitting this PR I confirm: - I am familiar with the [Contributing Guidelines](https://github.com/NVIDIA/AgentIQ/blob/develop/docs/source/advanced/contributing.md). - We require that all contributors "sign-off" on their commits. This certifies that the contribution is your original work, or you have rights to submit it under the same license, or a compatible license. - Any contribution which contains commits that are not Signed-Off will not be accepted. - When the PR is ready for review, new or existing tests cover these changes. - When the PR is ready for review, the documentation is up to date with these changes. Authors: - Ayush Thakur (https://github.com/ayulockin) - Anuradha Karuppiah (https://github.com/AnuradhaKaruppiah) Approvers: - Dhruv Nandakumar (https://github.com/dnandakumar-nv) URL: https://github.com/NVIDIA/AIQToolkit/pull/170 Signed-off-by: Yuchen Zhang --- docs/source/_static/weave_tracing.png | 3 + .../guides/fine-grained-tracing-with-weave.md | 79 ++++++++++ docs/source/guides/index.md | 1 + .../configs/config-weave.yml | 58 +++++++ packages/aiqtoolkit_weave/pyproject.toml | 41 +++++ .../aiqtoolkit_weave/src/aiq/meta/pypi.md | 23 +++ .../src/aiq/plugins/weave/__init__.py | 0 .../src/aiq/plugins/weave/register.py | 20 +++ .../src/aiq/plugins/weave/weave_sdk.py | 49 ++++++ pyproject.toml | 2 + src/aiq/observability/async_otel_listener.py | 144 ++++++++++++++++++ 11 files changed, 420 insertions(+) create mode 100644 docs/source/_static/weave_tracing.png create mode 100644 docs/source/guides/fine-grained-tracing-with-weave.md create mode 100644 examples/simple_calculator/src/aiq_simple_calculator/configs/config-weave.yml create mode 100644 packages/aiqtoolkit_weave/pyproject.toml create mode 100644 packages/aiqtoolkit_weave/src/aiq/meta/pypi.md create mode 100644 packages/aiqtoolkit_weave/src/aiq/plugins/weave/__init__.py create mode 100644 packages/aiqtoolkit_weave/src/aiq/plugins/weave/register.py create mode 100644 packages/aiqtoolkit_weave/src/aiq/plugins/weave/weave_sdk.py diff --git a/docs/source/_static/weave_tracing.png b/docs/source/_static/weave_tracing.png new file mode 100644 index 000000000..8f92d660a --- /dev/null +++ b/docs/source/_static/weave_tracing.png @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:1417d9c584737dfa9cd94e97d49145e8f82f5c1594642d117e92f8b1ec26acaf +size 732469 diff --git a/docs/source/guides/fine-grained-tracing-with-weave.md b/docs/source/guides/fine-grained-tracing-with-weave.md new file mode 100644 index 000000000..c468abe7c --- /dev/null +++ b/docs/source/guides/fine-grained-tracing-with-weave.md @@ -0,0 +1,79 @@ + + +# Observing a Workflow with W&B Weave + +This guide provides a step-by-step process to enable observability in an AIQ Toolkit workflow using Weights and Biases (W&B) Weave for tracing using just a few lines of code in your workflow configuration file. + +![Weave Tracing Dashboard](../_static/weave_tracing.png) + +### Step 1: Install the Weave plugin + +To install the Weave plugin, run the following: + +```bash +uv pip install -e '.[weave]' +``` + +### Step 2: Install the Workflow + +Pick an example from the list of available workflows. In this guide, we will be using the `simple_calculator` example. + +```bash +uv pip install -e examples/simple_calculator +``` + +### Step 3: Modify Workflow Configuration + +Update your workflow configuration file to include the weave telemetry settings. For example, `examples/simple_calculator/configs/config-weave.yml` has the following weave settings: + +```bash +general: + use_uvloop: true + telemetry: + tracing: + weave: + _type: weave + project: "aiqtoolkit-demo" +``` + +This setup enables logging trace data to W&B weave. The weave integration requires one parameter and one optional parameter: + +| Parameter | Description | Example | +|-----------|-------------|---------| +| `project` | The name of your W&B Weave project | `"aiqtoolkit-demo"` | +| `entity` (optional) | Your W&B username or team name | `"your-wandb-username-or-teamname"` | + +### Step 4: Run Your Workflow +From the root directory of the AIQ Toolkit library, execute your workflow as shown below: + +```bash +aiq run --config_file examples/simple_calculator/configs/config.yml --input "Is the product of 2 * 4 greater than the current hour of the day?" +``` + +If it is your first time running the workflow, you will be prompted to login to W&B Weave. + +### Step 5: View Traces Data in Weave Dashboard + +As the workflow runs, you will find a Weave URL (starting with a 🍩 emoji). Click on the URL to access your logged trace timeline. + +Note how the integration captures not only the `aiq` intermediate steps but also the underlying framework. This is because [Weave has integrations](https://weave-docs.wandb.ai/guides/integrations/) with many of your favorite frameworks. + +## Resources + +- Learn more about tracing [here](https://weave-docs.wandb.ai/guides/tracking/tracing). +- Learn more about how to navigate the logged traces [here](https://weave-docs.wandb.ai/guides/tracking/trace-tree). diff --git a/docs/source/guides/index.md b/docs/source/guides/index.md index 9bab073f4..e2a7cd2bc 100644 --- a/docs/source/guides/index.md +++ b/docs/source/guides/index.md @@ -25,6 +25,7 @@ Share Components <./sharing-workflows-and-tools.md> Evaluate <./evaluate.md> Add Custom Evaluators <./custom-evaluator.md> Evaluation Endpoints <./evaluate-api.md> +./fine-grained-tracing-with-weave.md ./observe-workflow-with-phoenix.md Use User Interface and API Server <./using-aiqtoolkit-ui-and-server.md> MCP Server Front-End <./mcp-server.md> diff --git a/examples/simple_calculator/src/aiq_simple_calculator/configs/config-weave.yml b/examples/simple_calculator/src/aiq_simple_calculator/configs/config-weave.yml new file mode 100644 index 000000000..e05ff73cd --- /dev/null +++ b/examples/simple_calculator/src/aiq_simple_calculator/configs/config-weave.yml @@ -0,0 +1,58 @@ +# SPDX-FileCopyrightText: Copyright (c) 2024-2025, NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +general: + use_uvloop: true + telemetry: + tracing: + weave: + _type: weave + project: "aiqtoolkit-demo" + +functions: + calculator_multiply: + _type: calculator_multiply + calculator_inequality: + _type: calculator_inequality + calculator_divide: + _type: aiq_simple_calculator/calculator_divide + current_datetime: + _type: current_datetime + calculator_subtract: + _type: calculator_subtract + +llms: + nim_llm: + _type: nim + model_name: meta/llama-3.1-70b-instruct + temperature: 0.0 + max_tokens: 1024 + openai_llm: + _type: openai + model_name: gpt-3.5-turbo + max_tokens: 2000 + +workflow: + _type: react_agent + tool_names: + - calculator_multiply + - calculator_inequality + - current_datetime + - calculator_divide + - calculator_subtract + llm_name: nim_llm + verbose: true + retry_parsing_errors: true + max_retries: 3 diff --git a/packages/aiqtoolkit_weave/pyproject.toml b/packages/aiqtoolkit_weave/pyproject.toml new file mode 100644 index 000000000..cf77f15a4 --- /dev/null +++ b/packages/aiqtoolkit_weave/pyproject.toml @@ -0,0 +1,41 @@ +[build-system] +build-backend = "setuptools.build_meta" +requires = ["setuptools >= 64", "setuptools-scm>=8"] + + +[tool.setuptools.packages.find] +where = ["src"] +include = ["aiq.*"] + + +[tool.setuptools_scm] +root = "../.." + + +[project] +name = "aiqtoolkit-weave" +dynamic = ["version"] +dependencies = [ + # Keep package version constraints as open as possible to avoid conflicts with other packages. Always define a minimum + # version when adding a new package. If unsure, default to using `~=` instead of `==`. Does not apply to aiq packages. + # Keep sorted!!! + "aiqtoolkit", + "weave>=0.51.44" +] +requires-python = ">=3.12" +description = "Subpackage for Weave integration in AIQToolkit" +readme = "src/aiq/meta/pypi.md" +keywords = ["ai", "observability", "wandb"] +classifiers = ["Programming Language :: Python"] + + +[tool.uv] +config-settings = { editable_mode = "compat" } + + +[tool.uv.sources] +aiqtoolkit = { workspace = true } + + +[project.entry-points.'aiq.components'] +aiqtoolkit_weave = "aiq.plugins.weave.register" diff --git a/packages/aiqtoolkit_weave/src/aiq/meta/pypi.md b/packages/aiqtoolkit_weave/src/aiq/meta/pypi.md new file mode 100644 index 000000000..5c8437758 --- /dev/null +++ b/packages/aiqtoolkit_weave/src/aiq/meta/pypi.md @@ -0,0 +1,23 @@ + + +![NVIDIA Agent Intelligence Toolkit](https://media.githubusercontent.com/media/NVIDIA/AIQToolkit/refs/heads/main/docs/source/_static/aiqtoolkit_banner.png "AIQ Toolkit banner image" + +# NVIDIA Agent Intelligence Toolkit Subpackage +This is a subpackage for Weights and Biases Weave integration for observability. + +For more information about AIQ Toolkit, please visit the [AIQ Toolkit package](https://pypi.org/project/aiqtoolkit/). diff --git a/packages/aiqtoolkit_weave/src/aiq/plugins/weave/__init__.py b/packages/aiqtoolkit_weave/src/aiq/plugins/weave/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/packages/aiqtoolkit_weave/src/aiq/plugins/weave/register.py b/packages/aiqtoolkit_weave/src/aiq/plugins/weave/register.py new file mode 100644 index 000000000..db5fc96ee --- /dev/null +++ b/packages/aiqtoolkit_weave/src/aiq/plugins/weave/register.py @@ -0,0 +1,20 @@ +# SPDX-FileCopyrightText: Copyright (c) 2024-2025, NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +# pylint: disable=unused-import +# flake8: noqa +# isort:skip_file + +from . import weave_sdk diff --git a/packages/aiqtoolkit_weave/src/aiq/plugins/weave/weave_sdk.py b/packages/aiqtoolkit_weave/src/aiq/plugins/weave/weave_sdk.py new file mode 100644 index 000000000..9ea63fe0c --- /dev/null +++ b/packages/aiqtoolkit_weave/src/aiq/plugins/weave/weave_sdk.py @@ -0,0 +1,49 @@ +# SPDX-FileCopyrightText: Copyright (c) 2024-2025, NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +from typing import Optional + +from pydantic import Field + +from aiq.builder.builder import Builder +from aiq.cli.register_workflow import register_telemetry_exporter +from aiq.data_models.telemetry_exporter import TelemetryExporterBaseConfig + + +class WeaveTelemetryExporter(TelemetryExporterBaseConfig, name="weave"): + """A telemetry exporter to transmit traces to Weights & Biases Weave using OpenTelemetry.""" + project: str = Field(description="The W&B project name.") + entity: Optional[str] = Field(default=None, description="The W&B username or team name.") + + +@register_telemetry_exporter(config_type=WeaveTelemetryExporter) +async def weave_telemetry_exporter(config: WeaveTelemetryExporter, builder: Builder): + import weave + + if config.entity: + _ = weave.init(project_name=f"{config.entity}/{config.project}") + else: + _ = weave.init(project_name=config.project) + + class NoOpSpanExporter: + + def export(self, spans): + return None + + def shutdown(self): + return None + + # just yielding None errors with 'NoneType' object has no attribute 'export' + yield NoOpSpanExporter() diff --git a/pyproject.toml b/pyproject.toml index d439c2dbb..b51b5bd39 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -64,6 +64,7 @@ mem0ai = ["aiqtoolkit-mem0ai"] semantic-kernel = ["aiqtoolkit-semantic-kernel"] zep-cloud = ["aiqtoolkit-zep-cloud"] agno = ["aiqtoolkit-agno"] +weave = ["aiqtoolkit-weave"] examples = [ "aiq_email_phishing_analyzer", @@ -98,6 +99,7 @@ aiqtoolkit-semantic-kernel = { workspace = true } aiqtoolkit-test = { workspace = true } aiqtoolkit-zep-cloud = { workspace = true } aiqtoolkit-agno = { workspace = true } +aiqtoolkit-weave = { workspace = true } # All examples here aiq_email_phishing_analyzer = { path = "examples/email_phishing_analyzer", editable = true } diff --git a/src/aiq/observability/async_otel_listener.py b/src/aiq/observability/async_otel_listener.py index 9a038d301..4323b3243 100644 --- a/src/aiq/observability/async_otel_listener.py +++ b/src/aiq/observability/async_otel_listener.py @@ -16,6 +16,7 @@ import logging import re from contextlib import asynccontextmanager +from contextlib import contextmanager from typing import Any from openinference.semconv.trace import OpenInferenceSpanKindValues @@ -30,6 +31,17 @@ from aiq.data_models.intermediate_step import IntermediateStep from aiq.data_models.intermediate_step import IntermediateStepState +try: + from weave.trace.context import weave_client_context + from weave.trace.context.call_context import get_current_call + from weave.trace.context.call_context import set_call_stack + from weave.trace.weave_client import Call + WEAVE_AVAILABLE = True +except ImportError: + WEAVE_AVAILABLE = False + # we simply don't do anything if weave is not available + pass + logger = logging.getLogger(__name__) OPENINFERENCE_SPAN_KIND = SpanAttributes.OPENINFERENCE_SPAN_KIND @@ -84,6 +96,17 @@ def __init__(self, context_state: AIQContextState | None = None): self._tracer = trace.get_tracer("aiq-async-otel-listener") + # Initialize Weave-specific components if available + self.gc = None + self._weave_calls = {} + if WEAVE_AVAILABLE: + try: + # Try to get the weave client, but don't fail if Weave isn't initialized + self.gc = weave_client_context.require_weave_client() + except Exception: + # Weave is not initialized, so we don't do anything + pass + def _on_next(self, step: IntermediateStep) -> None: """ The main logic that reacts to each IntermediateStep. @@ -159,6 +182,12 @@ async def _cleanup(self): self._span_stack.clear() + # Clean up any lingering Weave calls if Weave is available and initialized + if self.gc is not None and self._weave_calls: + for _, call in list(self._weave_calls.items()): + self.gc.finish_call(call, {"status": "incomplete"}) + self._weave_calls.clear() + def _serialize_payload(self, input_value: Any) -> tuple[str, bool]: """ Serialize the input value to a string. Returns a tuple with the serialized value and a boolean indicating if the @@ -237,6 +266,10 @@ def _process_start_event(self, step: IntermediateStep): self._outstanding_spans[step.UUID] = sub_span + # Create corresponding Weave call if Weave is available and initialized + if self.gc is not None: + self._create_weave_call(step, sub_span) + def _process_end_event(self, step: IntermediateStep): # Find the subspan that was created in the start event @@ -271,3 +304,114 @@ def _process_end_event(self, step: IntermediateStep): # End the subspan sub_span.end(end_time=end_ns) + + # Finish corresponding Weave call if Weave is available and initialized + if self.gc is not None: + self._finish_weave_call(step, sub_span) + + @contextmanager + def parent_call(self, trace_id: str, parent_call_id: str): + """Context manager to set a parent call context for Weave. + This allows connecting AIQ spans to existing traces from other frameworks. + """ + dummy_call = Call(trace_id=trace_id, id=parent_call_id, _op_name="", project_id="", parent_id=None, inputs={}) + with set_call_stack([dummy_call]): + yield + + def _create_weave_call(self, step: IntermediateStep, span: Span) -> None: + """ + Create a Weave call directly from the span and step data, + connecting to existing framework traces if available. + """ + # Check for existing Weave trace/call + existing_call = get_current_call() + + # Extract parent call if applicable + parent_call = None + + # If we have an existing Weave call from another framework (e.g., LangChain), + # use it as the parent + if existing_call is not None: + parent_call = existing_call + logger.debug(f"Found existing Weave call: {existing_call.id} from trace: {existing_call.trace_id}") + # Otherwise, check our internal stack for parent relationships + elif len(self._weave_calls) > 0 and len(self._span_stack) > 1: + # Get the parent span using stack position (one level up) + parent_span_id = self._span_stack[-2].get_span_context().span_id + # Find the corresponding weave call for this parent span + for uuid, call in self._weave_calls.items(): + if getattr(call, "span_id", None) == parent_span_id: + parent_call = call + break + + # Generate a meaningful operation name based on event type + event_type = step.payload.event_type.split(".")[-1] + if step.payload.name: + op_name = f"aiq.{event_type}.{step.payload.name}" + else: + op_name = f"aiq.{event_type}" + + # Create input dictionary + inputs = {} + if step.payload.data and step.payload.data.input is not None: + try: + # Add the input to the Weave call + inputs["input"] = step.payload.data.input + except Exception: + # If serialization fails, use string representation + inputs["input"] = str(step.payload.data.input) + + # Create the Weave call + call = self.gc.create_call( + op_name, + inputs=inputs, + parent=parent_call, + attributes=span.attributes, + display_name=op_name, + ) + + # Store the call with step UUID as key + self._weave_calls[step.UUID] = call + + # Store span ID for parent reference + setattr(call, "span_id", span.get_span_context().span_id) + + return call + + def _finish_weave_call(self, step: IntermediateStep, span: Span) -> None: + """ + Finish a previously created Weave call + """ + # Find the call for this step + call = self._weave_calls.pop(step.UUID, None) + + if call is None: + logger.warning("No Weave call found for step %s", step.UUID) + return + + # Create output dictionary + outputs = {} + if step.payload.data and step.payload.data.output is not None: + try: + # Add the output to the Weave call + outputs["output"] = step.payload.data.output + except Exception: + # If serialization fails, use string representation + outputs["output"] = str(step.payload.data.output) + + # Add usage information if available + usage_info = step.payload.usage_info + if usage_info: + if usage_info.token_usage: + outputs["prompt_tokens"] = usage_info.token_usage.prompt_tokens + outputs["completion_tokens"] = usage_info.token_usage.completion_tokens + outputs["total_tokens"] = usage_info.token_usage.total_tokens + + if usage_info.num_llm_calls: + outputs["num_llm_calls"] = usage_info.num_llm_calls + + if usage_info.seconds_between_calls: + outputs["seconds_between_calls"] = usage_info.seconds_between_calls + + # Finish the call with outputs + self.gc.finish_call(call, outputs) From cda127cc1a30b11a4b34ff6e3c245fc5dd2640c5 Mon Sep 17 00:00:00 2001 From: Anuradha Karuppiah Date: Thu, 1 May 2025 15:12:24 -0700 Subject: [PATCH 10/60] Fix typo in CPR detected by co-pilot (#190) ## By Submitting this PR I confirm: - I am familiar with the [Contributing Guidelines](https://github.com/NVIDIA/AIQToolkit/blob/develop/docs/source/advanced/contributing.md). - We require that all contributors "sign-off" on their commits. This certifies that the contribution is your original work, or you have rights to submit it under the same license, or a compatible license. - Any contribution which contains commits that are not Signed-Off will not be accepted. - When the PR is ready for review, new or existing tests cover these changes. - When the PR is ready for review, the documentation is up to date with these changes. Authors: - Anuradha Karuppiah (https://github.com/AnuradhaKaruppiah) Approvers: - Yuchen Zhang (https://github.com/yczhang-nv) URL: https://github.com/NVIDIA/AIQToolkit/pull/190 Signed-off-by: Yuchen Zhang --- packages/aiqtoolkit_weave/src/aiq/meta/pypi.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/packages/aiqtoolkit_weave/src/aiq/meta/pypi.md b/packages/aiqtoolkit_weave/src/aiq/meta/pypi.md index 5c8437758..c9071b677 100644 --- a/packages/aiqtoolkit_weave/src/aiq/meta/pypi.md +++ b/packages/aiqtoolkit_weave/src/aiq/meta/pypi.md @@ -6,7 +6,7 @@ Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at -http:/www.apache.org/licenses/LICENSE-2.0 +http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, From b47651e5a5d5e2c33ad0b31df69e460cf6d760b1 Mon Sep 17 00:00:00 2001 From: David Gardner <96306125+dagardner-nv@users.noreply.github.com> Date: Thu, 1 May 2025 15:18:54 -0700 Subject: [PATCH 11/60] Note the name change in the top-level documentation and README.md (#163) * Note the previous name of the project to avoid confusing users. ## By Submitting this PR I confirm: - I am familiar with the [Contributing Guidelines](https://github.com/NVIDIA/AIQToolkit/blob/develop/docs/source/advanced/contributing.md). - We require that all contributors "sign-off" on their commits. This certifies that the contribution is your original work, or you have rights to submit it under the same license, or a compatible license. - Any contribution which contains commits that are not Signed-Off will not be accepted. - When the PR is ready for review, new or existing tests cover these changes. - When the PR is ready for review, the documentation is up to date with these changes. Authors: - David Gardner (https://github.com/dagardner-nv) Approvers: - Michael Demoret (https://github.com/mdemoret-nv) URL: https://github.com/NVIDIA/AIQToolkit/pull/163 Signed-off-by: Yuchen Zhang --- README.md | 2 ++ docs/source/index.md | 4 ++++ 2 files changed, 6 insertions(+) diff --git a/README.md b/README.md index dbf3dad65..f16dadc29 100644 --- a/README.md +++ b/README.md @@ -21,6 +21,8 @@ limitations under the License. Agent Intelligence Toolkit (AIQ Toolkit) is a flexible library designed to seamlessly integrate your enterprise agents—regardless of framework—with various data sources and tools. By treating agents, tools, and agentic workflows as simple function calls, AIQ Toolkit enables true composability: build once and reuse anywhere. +> Note: Agent Intelligence Toolkit was previously known as AgentIQ, however the API has not changed and is fully compatible with previous releases. Users should update their dependencies to depend on `aiqtoolkit` instead of `agentiq`. I transitional package named `agentiq` is available for backwards compatibility, but will be removed in the future. + ## Key Features - [**Framework Agnostic:**](https://docs.nvidia.com/aiqtoolkit/latest/concepts/plugins.html) Works with any agentic framework, so you can use your current technology stack without replatforming. diff --git a/docs/source/index.md b/docs/source/index.md index 281de7a23..25e2cb4c5 100644 --- a/docs/source/index.md +++ b/docs/source/index.md @@ -29,6 +29,10 @@ limitations under the License. Agent Intelligence Toolkit (AIQ Toolkit) is a flexible library designed to seamlessly integrate your enterprise agents—regardless of framework—with various data sources and tools. By treating agents, tools, and agentic workflows as simple function calls, AIQ Toolkit enables true composability: build once and reuse anywhere. +:::{note} +Agent Intelligence Toolkit was previously known as AgentIQ, however the API has not changed and is fully compatible with previous releases. Users should update their dependencies to depend on `aiqtoolkit` instead of `agentiq`. I transitional package named `agentiq` is available for backwards compatibility, but will be removed in the future. +::: + ## Key Features - [**Framework Agnostic:**](./concepts/plugins.md) Works with any agentic framework, so you can use your current technology stack without replatforming. From bf04088bf89e319a8131ae001f7bfc64a0b7358a Mon Sep 17 00:00:00 2001 From: Soumili Nandi Date: Thu, 1 May 2025 16:57:03 -0700 Subject: [PATCH 12/60] fix typo in evaluate documentation for max_concurrency (#191) changed `concurrency` to `max_concurrency` in config parameters of _evaluate.md_ ## By Submitting this PR I confirm: - I am familiar with the [Contributing Guidelines](https://github.com/NVIDIA/AIQToolkit/blob/develop/docs/source/advanced/contributing.md). - We require that all contributors "sign-off" on their commits. This certifies that the contribution is your original work, or you have rights to submit it under the same license, or a compatible license. - Any contribution which contains commits that are not Signed-Off will not be accepted. - When the PR is ready for review, new or existing tests cover these changes. - When the PR is ready for review, the documentation is up to date with these changes. Authors: - Soumili Nandi (https://github.com/soumilinandi) Approvers: - Anuradha Karuppiah (https://github.com/AnuradhaKaruppiah) URL: https://github.com/NVIDIA/AIQToolkit/pull/191 Signed-off-by: Yuchen Zhang --- docs/source/concepts/evaluate.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/docs/source/concepts/evaluate.md b/docs/source/concepts/evaluate.md index 5fb7a91b4..3d54e6a4a 100644 --- a/docs/source/concepts/evaluate.md +++ b/docs/source/concepts/evaluate.md @@ -276,11 +276,11 @@ aiq eval --config_file=examples/simple/configs/eval_config.yml --reps=5 This will allow you to get an average score across multiple runs and analyze the variation in the generated outputs. ## Running evaluation on large datasets -Similar to how evaluators are run in parallel, entries in the dataset are also processed in parallel. Concurrency is configurable using the `eval.general.concurrency` parameter in the `config.yml` file. The default value is 8. Increase or decrease the value based on the available resources. +Similar to how evaluators are run in parallel, entries in the dataset are also processed in parallel. Concurrency is configurable using the `eval.general.max_concurrency` parameter in the `config.yml` file. The default value is 8. Increase or decrease the value based on the available resources. ```yaml eval: general: - concurrency: 4 + max_concurrency: 4 ``` ## Pickup where you left off From 650d43a2486d606d3f6764a7a69320d3698e2a2c Mon Sep 17 00:00:00 2001 From: Anuradha Karuppiah Date: Fri, 2 May 2025 07:08:31 -0700 Subject: [PATCH 13/60] Fix a typo in the weave README (#195) Closes ## By Submitting this PR I confirm: - I am familiar with the [Contributing Guidelines](https://github.com/NVIDIA/AIQToolkit/blob/develop/docs/source/advanced/contributing.md). - We require that all contributors "sign-off" on their commits. This certifies that the contribution is your original work, or you have rights to submit it under the same license, or a compatible license. - Any contribution which contains commits that are not Signed-Off will not be accepted. - When the PR is ready for review, new or existing tests cover these changes. - When the PR is ready for review, the documentation is up to date with these changes. Authors: - Anuradha Karuppiah (https://github.com/AnuradhaKaruppiah) Approvers: - Eric Evans II (https://github.com/ericevans-nv) URL: https://github.com/NVIDIA/AIQToolkit/pull/195 Signed-off-by: Yuchen Zhang --- docs/source/guides/fine-grained-tracing-with-weave.md | 5 +++-- examples/simple_calculator/README.md | 7 +++++++ 2 files changed, 10 insertions(+), 2 deletions(-) diff --git a/docs/source/guides/fine-grained-tracing-with-weave.md b/docs/source/guides/fine-grained-tracing-with-weave.md index c468abe7c..aa922682c 100644 --- a/docs/source/guides/fine-grained-tracing-with-weave.md +++ b/docs/source/guides/fine-grained-tracing-with-weave.md @@ -59,10 +59,11 @@ This setup enables logging trace data to W&B weave. The weave integration requir | `entity` (optional) | Your W&B username or team name | `"your-wandb-username-or-teamname"` | ### Step 4: Run Your Workflow -From the root directory of the AIQ Toolkit library, execute your workflow as shown below: +Install `simple_calculator` example using the instructions in the `examples/simple_calculator/README.md` guide. +Run the workflow using `config-weave.yml` configuration file: ```bash -aiq run --config_file examples/simple_calculator/configs/config.yml --input "Is the product of 2 * 4 greater than the current hour of the day?" +aiq run --config_file examples/simple_calculator/configs/config-weave.yml --input "Is the product of 2 * 4 greater than the current hour of the day?" ``` If it is your first time running the workflow, you will be prompted to login to W&B Weave. diff --git a/examples/simple_calculator/README.md b/examples/simple_calculator/README.md index 04b553a3f..961b17a8d 100644 --- a/examples/simple_calculator/README.md +++ b/examples/simple_calculator/README.md @@ -178,6 +178,13 @@ Workflow Result: ### Examine the Traces in Phoenix Open your browser and navigate to `http://localhost:6006` to view the traces. +## Using Weave for Tracing +You can use Weave to trace the workflow by following the instructions in the [Fine-grained Tracing with Weave](../../docs/source/guides/fine-grained-tracing-with-weave.md) guide. +Sample usage: +```bash +aiq run --config_file examples/simple_calculator/configs/config-weave.yml --input "Is the product of 2 * 4 greater than the current hour of the day?" +``` + ## Accuracy Evaluation The answers generated by the workflow can be evaluated using the [Tunable RAG Evaluator](../../docs/source/concepts/evaluate.md#tunable-rag-evaluator). A sample dataset is provided in `examples/simple_calculator/data/simple_calculator.json`. From 8cc8481ce4c51221e6bfdb4e67e8596a5d5e63d3 Mon Sep 17 00:00:00 2001 From: Yuchen Zhang <134643420+yczhang-nv@users.noreply.github.com> Date: Fri, 2 May 2025 11:49:45 -0700 Subject: [PATCH 14/60] Update simple example `eval` dataset (#200) * support python 3.11 Signed-off-by: Yuchen Zhang * fix doc Signed-off-by: Yuchen Zhang * update pyproject.toml Signed-off-by: Yuchen Zhang * update uv.lock Signed-off-by: Yuchen Zhang * update README to specify Python version requirements Signed-off-by: Yuchen Zhang * resolve comments Signed-off-by: Yuchen Zhang * fix comments Signed-off-by: Yuchen Zhang * updated simple example eval dataset Signed-off-by: Yuchen Zhang * update the nim_rag_eval_llm config Signed-off-by: Yuchen Zhang --------- Signed-off-by: Yuchen Zhang --- examples/simple/src/aiq_simple/configs/eval_config.yml | 4 ++-- examples/simple/src/aiq_simple/data/langsmith.json | 4 ++-- 2 files changed, 4 insertions(+), 4 deletions(-) diff --git a/examples/simple/src/aiq_simple/configs/eval_config.yml b/examples/simple/src/aiq_simple/configs/eval_config.yml index 2898b5263..d417cb8ac 100644 --- a/examples/simple/src/aiq_simple/configs/eval_config.yml +++ b/examples/simple/src/aiq_simple/configs/eval_config.yml @@ -33,10 +33,10 @@ llms: temperature: 0.0 nim_rag_eval_llm: _type: nim - model_name: meta/llama-3.3-70b-instruct + model_name: meta/llama-3.1-70b-instruct temperature: 0.0000001 top_p: 0.0001 - max_tokens: 2 + max_tokens: 6 nim_trajectory_eval_llm: _type: nim model_name: meta/llama-3.1-70b-instruct diff --git a/examples/simple/src/aiq_simple/data/langsmith.json b/examples/simple/src/aiq_simple/data/langsmith.json index 454205bc4..48ad840f3 100644 --- a/examples/simple/src/aiq_simple/data/langsmith.json +++ b/examples/simple/src/aiq_simple/data/langsmith.json @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:2e530f6b0816037ca87f120fde7d63e2468830e192b810b19edbdf1c00d3ccea -size 804 +oid sha256:ffff946ef4383c48ce7b68ed4d85ccedbaa1a3eb13ceb3afe3fce3eb2c663317 +size 1856 From 99c034d672014933a9c7136b90f9527673bea7c3 Mon Sep 17 00:00:00 2001 From: Anuradha Karuppiah Date: Fri, 2 May 2025 12:24:14 -0700 Subject: [PATCH 15/60] Config option to specify the intermediate step types in workflow_output.json (#198) Closes ## By Submitting this PR I confirm: - I am familiar with the [Contributing Guidelines](https://github.com/NVIDIA/AIQToolkit/blob/develop/docs/source/advanced/contributing.md). - We require that all contributors "sign-off" on their commits. This certifies that the contribution is your original work, or you have rights to submit it under the same license, or a compatible license. - Any contribution which contains commits that are not Signed-Off will not be accepted. - When the PR is ready for review, new or existing tests cover these changes. - When the PR is ready for review, the documentation is up to date with these changes. Authors: - Anuradha Karuppiah (https://github.com/AnuradhaKaruppiah) Approvers: - Dhruv Nandakumar (https://github.com/dnandakumar-nv) URL: https://github.com/NVIDIA/AIQToolkit/pull/198 Signed-off-by: Yuchen Zhang --- docs/source/concepts/evaluate.md | 12 +++++ src/aiq/data_models/evaluate.py | 3 ++ .../eval/dataset_handler/dataset_handler.py | 15 ++++-- src/aiq/eval/evaluate.py | 3 +- .../dataset_handler/test_dataset_handler.py | 46 +++++++++++++++++++ 5 files changed, 73 insertions(+), 6 deletions(-) diff --git a/docs/source/concepts/evaluate.md b/docs/source/concepts/evaluate.md index 3d54e6a4a..d4920ffcd 100644 --- a/docs/source/concepts/evaluate.md +++ b/docs/source/concepts/evaluate.md @@ -370,6 +370,18 @@ The output of the evaluators are stored in distinct files in the same `output_di } ``` +## Workflow Output Intermediate Step Filtering +The workflow_output.json file contains the intermediate steps for each entry in the dataset. The intermediate steps are filtered using the `eval.general.output.workflow_output_step_filter` parameter in the `config.yml` file. The default value for the filter is `[LLM_END, TOOL_END]`. You can customize the filter by providing a list of intermediate step types to include in the output file. + +**Example:** +`examples/simple/configs/eval_config.yml` can be modified to include the intermediate steps in the output by adding the following configuration: +```yaml +eval: + general: + output: + workflow_output_step_filter: [LLM_END, TOOL_START, TOOL_END] +``` + ## Customizing the output You can customize the output of the pipeline by providing custom scripts. One or more Python scripts can be provided in the `eval.general.output_scripts` section of the `config.yml` file. diff --git a/src/aiq/data_models/evaluate.py b/src/aiq/data_models/evaluate.py index 096446490..9a5cda9ee 100644 --- a/src/aiq/data_models/evaluate.py +++ b/src/aiq/data_models/evaluate.py @@ -24,6 +24,7 @@ from aiq.data_models.dataset_handler import EvalDatasetConfig from aiq.data_models.dataset_handler import EvalS3Config from aiq.data_models.evaluator import EvaluatorBaseConfig +from aiq.data_models.intermediate_step import IntermediateStepType from aiq.data_models.profiler import ProfilerConfig @@ -45,6 +46,8 @@ class EvalOutputConfig(BaseModel): s3: EvalS3Config | None = None # Whether to cleanup the output directory before running the workflow cleanup: bool = True + # Filter for the workflow output steps + workflow_output_step_filter: list[IntermediateStepType] | None = None class EvalGeneralConfig(BaseModel): diff --git a/src/aiq/eval/dataset_handler/dataset_handler.py b/src/aiq/eval/dataset_handler/dataset_handler.py index c28f31ac0..ea2a94dbd 100644 --- a/src/aiq/eval/dataset_handler/dataset_handler.py +++ b/src/aiq/eval/dataset_handler/dataset_handler.py @@ -20,6 +20,7 @@ from aiq.data_models.dataset_handler import EvalDatasetConfig from aiq.data_models.dataset_handler import EvalDatasetJsonConfig from aiq.data_models.intermediate_step import IntermediateStep +from aiq.data_models.intermediate_step import IntermediateStepType from aiq.eval.dataset_handler.dataset_downloader import DatasetDownloader from aiq.eval.dataset_handler.dataset_filter import DatasetFilter from aiq.eval.evaluator.evaluator_model import EvalInput @@ -132,20 +133,24 @@ def get_eval_input_from_dataset(self, dataset: str) -> EvalInput: # Convert the DataFrame to a list of EvalInput objects return self.get_eval_input_from_df(input_df) - def filter_intermediate_steps(self, intermediate_steps: list[IntermediateStep]) -> list[dict]: + def filter_intermediate_steps(self, + intermediate_steps: list[IntermediateStep], + event_filter: list[IntermediateStepType] = None) -> list[dict]: """ Filter out the intermediate steps that are not relevant for evaluation. The output is written with with the intention of re-running the evaluation using the original config file. """ - filtered_steps = self.intermediate_step_adapter.filter_intermediate_steps( - intermediate_steps, self.intermediate_step_adapter.DEFAULT_EVENT_FILTER) + if event_filter is None: + event_filter = self.intermediate_step_adapter.DEFAULT_EVENT_FILTER + filtered_steps = self.intermediate_step_adapter.filter_intermediate_steps(intermediate_steps, event_filter) return self.intermediate_step_adapter.serialize_intermediate_steps(filtered_steps) - def publish_eval_input(self, eval_input) -> str: + def publish_eval_input(self, eval_input, workflow_output_step_filter: list[IntermediateStepType] = None) -> str: """ Convert the EvalInput object to a JSON output for storing in a file. Use the orginal keys to allow re-running evaluation using the orignal config file and '--skip_workflow' option. """ + indent = 2 if self.is_structured_input(): # Extract structured data from EvalInputItems @@ -154,7 +159,7 @@ def publish_eval_input(self, eval_input) -> str: self.question_key: item.input_obj, self.answer_key: item.expected_output_obj, self.generated_answer_key: item.output_obj, - self.trajectory_key: self.filter_intermediate_steps(item.trajectory), + self.trajectory_key: self.filter_intermediate_steps(item.trajectory, workflow_output_step_filter), self.expected_trajectory_key: self.filter_intermediate_steps(item.expected_trajectory), } for item in eval_input.eval_input_items] else: diff --git a/src/aiq/eval/evaluate.py b/src/aiq/eval/evaluate.py index 57ab3600d..cfbe7fcbb 100644 --- a/src/aiq/eval/evaluate.py +++ b/src/aiq/eval/evaluate.py @@ -177,7 +177,8 @@ def write_output(self, dataset_handler: DatasetHandler): workflow_output_file.parent.mkdir(parents=True, exist_ok=True) # Write the workflow output to a file (this can be used for re-running the evaluation) - workflow_output = dataset_handler.publish_eval_input(self.eval_input) + workflow_output = dataset_handler.publish_eval_input( + self.eval_input, self.eval_config.general.output.workflow_output_step_filter) with open(workflow_output_file, "w", encoding="utf-8") as f: # set indent to 2 for pretty printing f.write(workflow_output) diff --git a/tests/aiq/eval/dataset_handler/test_dataset_handler.py b/tests/aiq/eval/dataset_handler/test_dataset_handler.py index 6f59dfb0b..3f4bbc9ca 100644 --- a/tests/aiq/eval/dataset_handler/test_dataset_handler.py +++ b/tests/aiq/eval/dataset_handler/test_dataset_handler.py @@ -18,6 +18,9 @@ from aiq.data_models.dataset_handler import EvalDatasetJsonConfig from aiq.data_models.dataset_handler import EvalDatasetStructureConfig +from aiq.data_models.intermediate_step import IntermediateStep +from aiq.data_models.intermediate_step import IntermediateStepPayload +from aiq.data_models.intermediate_step import IntermediateStepType from aiq.eval.dataset_handler.dataset_handler import DatasetHandler from aiq.eval.evaluator.evaluator_model import EvalInput @@ -232,3 +235,46 @@ def test_setup_reps(dataset_handler, mock_input_df, dataset_id_key): assert len(replicated_df) == len(mock_input_df) * dataset_handler.reps, "Dataset should be replicated correctly" assert all("_rep" in str(i) for i in replicated_df[dataset_id_key]), "IDs should be suffixed with `_repX`" + + +@pytest.fixture +def mock_intermediate_steps(): + """Create a list of mock intermediate steps with different event types.""" + steps = [] + # Add LLM_START step + steps.append( + IntermediateStep(payload=IntermediateStepPayload(event_type=IntermediateStepType.LLM_START, name="llm_start"))) + # Add LLM_END step + steps.append( + IntermediateStep(payload=IntermediateStepPayload(event_type=IntermediateStepType.LLM_END, name="llm_end"))) + # Add TOOL_START step + steps.append( + IntermediateStep( + payload=IntermediateStepPayload(event_type=IntermediateStepType.TOOL_START, name="tool_start"))) + # Add TOOL_END step + steps.append( + IntermediateStep(payload=IntermediateStepPayload(event_type=IntermediateStepType.TOOL_END, name="tool_end"))) + return steps + + +def test_filter_intermediate_steps(dataset_handler, mock_intermediate_steps): + """Test that filter_intermediate_steps correctly filters steps based on event types.""" + # Define the filter to include only LLM_END, TOOL_START, and TOOL_END + event_filter = [IntermediateStepType.LLM_END, IntermediateStepType.TOOL_START, IntermediateStepType.TOOL_END] + + # Get the filtered steps + filtered_steps = dataset_handler.filter_intermediate_steps(mock_intermediate_steps, event_filter) + + # Verify that only the specified event types are included (LLM_START is filtered out) + event_types = [step["payload"]["event_type"] for step in filtered_steps] + assert IntermediateStepType.LLM_START not in event_types, "LLM_START should be filtered out" + assert IntermediateStepType.LLM_END in event_types, "LLM_END should be included" + assert IntermediateStepType.TOOL_START in event_types, "TOOL_START should be included" + assert IntermediateStepType.TOOL_END in event_types, "TOOL_END should be included" + + # Verify the order of steps is preserved + assert len(filtered_steps) == 3, "Should have exactly 3 steps after filtering" + assert filtered_steps[0]["payload"]["event_type"] == IntermediateStepType.LLM_END, "First step should be LLM_END" + assert filtered_steps[1]["payload"]["event_type"] == IntermediateStepType.TOOL_START, \ + "Second step should be TOOL_START" + assert filtered_steps[2]["payload"]["event_type"] == IntermediateStepType.TOOL_END, "Third step should be TOOL_END" From d35a94b1b27cc1d1d710f90d5650db492d8953e6 Mon Sep 17 00:00:00 2001 From: Anuradha Karuppiah Date: Fri, 2 May 2025 13:08:46 -0700 Subject: [PATCH 16/60] Update the Judge LLM settings in the examples to avoid retries (#204) Closes #202 ## By Submitting this PR I confirm: - I am familiar with the [Contributing Guidelines](https://github.com/NVIDIA/AIQToolkit/blob/develop/docs/source/advanced/contributing.md). - We require that all contributors "sign-off" on their commits. This certifies that the contribution is your original work, or you have rights to submit it under the same license, or a compatible license. - Any contribution which contains commits that are not Signed-Off will not be accepted. - When the PR is ready for review, new or existing tests cover these changes. - When the PR is ready for review, the documentation is up to date with these changes. Authors: - Anuradha Karuppiah (https://github.com/AnuradhaKaruppiah) Approvers: - Eric Evans II (https://github.com/ericevans-nv) URL: https://github.com/NVIDIA/AIQToolkit/pull/204 Signed-off-by: Yuchen Zhang --- docs/source/guides/evaluate.md | 16 ++++++++++++---- .../src/text_file_ingest/configs/config.yml | 4 +--- .../configs/config-llama-3.1-8b-instruct.yml | 4 +--- .../configs/config-llama-3.3-70b-instruct.yml | 4 +--- .../config-mixtral-8x22b-instruct-v0.1.yml | 4 +--- .../configs/config-phi-3-medium-4k-instruct.yml | 4 +--- .../configs/config-phi-3-mini-4k-instruct.yml | 4 +--- .../configs/config-reasoning.yml | 4 +--- .../email_phishing_analyzer/configs/config.yml | 4 +--- .../src/aiq_simple/configs/eval_config.yml | 4 +--- .../aiq_simple/configs/eval_upload_config.yml | 6 ++---- 11 files changed, 23 insertions(+), 35 deletions(-) diff --git a/docs/source/guides/evaluate.md b/docs/source/guides/evaluate.md index 081edfed2..921099a77 100644 --- a/docs/source/guides/evaluate.md +++ b/docs/source/guides/evaluate.md @@ -112,11 +112,19 @@ These metrics use a judge LLM for evaluating the generated output and retrieved llms: nim_rag_eval_llm: _type: nim - model_name: meta/llama-3.3-70b-instruct - temperature: 0.0000001 - top_p: 0.0001 - max_tokens: 2 + model_name: meta/llama-3.1-70b-instruct + max_tokens: 8 ``` +For these metrics, it is recommended to use 8 tokens for the judge LLM. + +Evaluation is dependent on the judge LLM's ability to accurately evaluate the generated output and retrieved context. This is the leadership board for the judge LLM: +``` + 1)- mistralai/mixtral-8x22b-instruct-v0.1 + 2)- mistralai/mixtral-8x7b-instruct-v0.1 + 3)- meta/llama-3.1-70b-instruct + 4)- meta/llama-3.3-70b-instruct +``` +For a complete list of up-to-date judge LLMs, refer to the [RAGAS NV metrics leadership board](https://github.com/explodinggradients/ragas/blob/main/src/ragas/metrics/_nv_metrics.py) ### Trajectory Evaluator This evaluator uses the intermediate steps generated by the workflow to evaluate the workflow trajectory. The evaluator configuration includes the evaluator type and any additional parameters required by the evaluator. diff --git a/examples/documentation_guides/workflows/text_file_ingest/src/text_file_ingest/configs/config.yml b/examples/documentation_guides/workflows/text_file_ingest/src/text_file_ingest/configs/config.yml index a26dfc597..0f7c444de 100644 --- a/examples/documentation_guides/workflows/text_file_ingest/src/text_file_ingest/configs/config.yml +++ b/examples/documentation_guides/workflows/text_file_ingest/src/text_file_ingest/configs/config.yml @@ -35,9 +35,7 @@ llms: nim_rag_eval_llm: _type: nim model_name: meta/llama-3.1-70b-instruct - temperature: 0.0000001 - top_p: 0.0001 - max_tokens: 2 + max_tokens: 8 nim_rag_eval_large_llm: _type: nim model_name: meta/llama-3.1-70b-instruct diff --git a/examples/email_phishing_analyzer/configs/config-llama-3.1-8b-instruct.yml b/examples/email_phishing_analyzer/configs/config-llama-3.1-8b-instruct.yml index 1edbdb732..f9ebbeeec 100644 --- a/examples/email_phishing_analyzer/configs/config-llama-3.1-8b-instruct.yml +++ b/examples/email_phishing_analyzer/configs/config-llama-3.1-8b-instruct.yml @@ -51,9 +51,7 @@ llms: nim_rag_eval_llm: _type: nim model_name: meta/llama-3.1-70b-instruct - temperature: 0.0000001 - top_p: 0.0001 - max_tokens: 2 + max_tokens: 8 nim_trajectory_eval_llm: _type: nim model_name: meta/llama-3.1-70b-instruct diff --git a/examples/email_phishing_analyzer/configs/config-llama-3.3-70b-instruct.yml b/examples/email_phishing_analyzer/configs/config-llama-3.3-70b-instruct.yml index 6f0aee98a..503eec9f5 100644 --- a/examples/email_phishing_analyzer/configs/config-llama-3.3-70b-instruct.yml +++ b/examples/email_phishing_analyzer/configs/config-llama-3.3-70b-instruct.yml @@ -51,9 +51,7 @@ llms: nim_rag_eval_llm: _type: nim model_name: meta/llama-3.1-70b-instruct - temperature: 0.0000001 - top_p: 0.0001 - max_tokens: 2 + max_tokens: 8 nim_trajectory_eval_llm: _type: nim model_name: meta/llama-3.1-70b-instruct diff --git a/examples/email_phishing_analyzer/configs/config-mixtral-8x22b-instruct-v0.1.yml b/examples/email_phishing_analyzer/configs/config-mixtral-8x22b-instruct-v0.1.yml index 51cc944d4..3572b0139 100644 --- a/examples/email_phishing_analyzer/configs/config-mixtral-8x22b-instruct-v0.1.yml +++ b/examples/email_phishing_analyzer/configs/config-mixtral-8x22b-instruct-v0.1.yml @@ -51,9 +51,7 @@ llms: nim_rag_eval_llm: _type: nim model_name: meta/llama-3.1-70b-instruct - temperature: 0.0000001 - top_p: 0.0001 - max_tokens: 2 + max_tokens: 8 nim_trajectory_eval_llm: _type: nim model_name: meta/llama-3.1-70b-instruct diff --git a/examples/email_phishing_analyzer/configs/config-phi-3-medium-4k-instruct.yml b/examples/email_phishing_analyzer/configs/config-phi-3-medium-4k-instruct.yml index ece1cc482..daab68096 100644 --- a/examples/email_phishing_analyzer/configs/config-phi-3-medium-4k-instruct.yml +++ b/examples/email_phishing_analyzer/configs/config-phi-3-medium-4k-instruct.yml @@ -50,9 +50,7 @@ llms: nim_rag_eval_llm: _type: nim model_name: meta/llama-3.1-70b-instruct - temperature: 0.0000001 - top_p: 0.0001 - max_tokens: 2 + max_tokens: 8 nim_trajectory_eval_llm: _type: nim model_name: meta/llama-3.1-70b-instruct diff --git a/examples/email_phishing_analyzer/configs/config-phi-3-mini-4k-instruct.yml b/examples/email_phishing_analyzer/configs/config-phi-3-mini-4k-instruct.yml index efdbcbfb9..3a5bd3292 100644 --- a/examples/email_phishing_analyzer/configs/config-phi-3-mini-4k-instruct.yml +++ b/examples/email_phishing_analyzer/configs/config-phi-3-mini-4k-instruct.yml @@ -51,9 +51,7 @@ llms: nim_rag_eval_llm: _type: nim model_name: meta/llama-3.1-70b-instruct - temperature: 0.0000001 - top_p: 0.0001 - max_tokens: 2 + max_tokens: 8 nim_trajectory_eval_llm: _type: nim model_name: meta/llama-3.1-70b-instruct diff --git a/examples/email_phishing_analyzer/configs/config-reasoning.yml b/examples/email_phishing_analyzer/configs/config-reasoning.yml index 8807f78fe..5790cc88f 100644 --- a/examples/email_phishing_analyzer/configs/config-reasoning.yml +++ b/examples/email_phishing_analyzer/configs/config-reasoning.yml @@ -60,9 +60,7 @@ llms: nim_rag_eval_llm: _type: nim model_name: meta/llama-3.1-70b-instruct - temperature: 0.0000001 - top_p: 0.0001 - max_tokens: 2 + max_tokens: 8 r1_model: _type: nim model_name: deepseek-ai/deepseek-r1 diff --git a/examples/email_phishing_analyzer/configs/config.yml b/examples/email_phishing_analyzer/configs/config.yml index a28a527b5..a2ae79383 100644 --- a/examples/email_phishing_analyzer/configs/config.yml +++ b/examples/email_phishing_analyzer/configs/config.yml @@ -51,9 +51,7 @@ llms: nim_rag_eval_llm: _type: nim model_name: meta/llama-3.1-70b-instruct - temperature: 0.0000001 - top_p: 0.0001 - max_tokens: 2 + max_tokens: 8 nim_trajectory_eval_llm: _type: nim model_name: meta/llama-3.1-70b-instruct diff --git a/examples/simple/src/aiq_simple/configs/eval_config.yml b/examples/simple/src/aiq_simple/configs/eval_config.yml index d417cb8ac..dd3321727 100644 --- a/examples/simple/src/aiq_simple/configs/eval_config.yml +++ b/examples/simple/src/aiq_simple/configs/eval_config.yml @@ -34,9 +34,7 @@ llms: nim_rag_eval_llm: _type: nim model_name: meta/llama-3.1-70b-instruct - temperature: 0.0000001 - top_p: 0.0001 - max_tokens: 6 + max_tokens: 8 nim_trajectory_eval_llm: _type: nim model_name: meta/llama-3.1-70b-instruct diff --git a/examples/simple/src/aiq_simple/configs/eval_upload_config.yml b/examples/simple/src/aiq_simple/configs/eval_upload_config.yml index 0411c4e64..20bc0f113 100644 --- a/examples/simple/src/aiq_simple/configs/eval_upload_config.yml +++ b/examples/simple/src/aiq_simple/configs/eval_upload_config.yml @@ -38,10 +38,8 @@ llms: temperature: 0.0 nim_rag_eval_llm: _type: nim - model_name: meta/llama-3.3-70b-instruct - temperature: 0.0000001 - top_p: 0.0001 - max_tokens: 2 + model_name: meta/llama-3.1-70b-instruct + max_tokens: 8 nim_trajectory_eval_llm: _type: nim model_name: meta/llama-3.1-70b-instruct From 813ffca082a935750548a91802ae4d36fdbb329f Mon Sep 17 00:00:00 2001 From: Yuchen Zhang <134643420+yczhang-nv@users.noreply.github.com> Date: Fri, 2 May 2025 15:57:37 -0700 Subject: [PATCH 17/60] Make `opentelemetry` and `phoenix` as optional dependencies (#167) This PR makes `opentelemetry` and `phoenix` as optional dependencies for Omniverse integration. - Moved the telemetry dependencies from AIQ core dependency to a separate group of optional dependency, which can be installed by `uv pip install -e '.[telemetry]'`. - Created `src/aiq/utils/optional_imports.py` to include optional import functionalities and dummy implementations. This module can be reused if we want to add more optional dependencies in the future. - When the configuration file contains `tracing` section but the telemetry dependencies are not installed, `TelemetryOptionalImportError` will be raised - Updated files that imports the optional dependencies to gracefully handle the case when those dependencies are not installed - Updated logging and documentation Closes [AIQ-1064](https://jirasw.nvidia.com/browse/AIQ-1064) ## By Submitting this PR I confirm: - I am familiar with the [Contributing Guidelines](https://github.com/NVIDIA/AIQToolkit/blob/develop/docs/source/advanced/contributing.md). - We require that all contributors "sign-off" on their commits. This certifies that the contribution is your original work, or you have rights to submit it under the same license, or a compatible license. - Any contribution which contains commits that are not Signed-Off will not be accepted. - When the PR is ready for review, new or existing tests cover these changes. - When the PR is ready for review, the documentation is up to date with these changes. Authors: - Yuchen Zhang (https://github.com/yczhang-nv) Approvers: - Michael Demoret (https://github.com/mdemoret-nv) URL: https://github.com/NVIDIA/AIQToolkit/pull/167 Signed-off-by: Yuchen Zhang --- docs/source/concepts/observability.md | 16 ++- examples/agents/rewoo/README.md | 1 + pyproject.toml | 13 +- src/aiq/builder/workflow.py | 13 +- src/aiq/builder/workflow_builder.py | 42 ++++-- src/aiq/cli/type_registry.py | 12 +- src/aiq/meta/pypi.md | 2 +- src/aiq/observability/async_otel_listener.py | 30 +++- src/aiq/observability/register.py | 20 +-- src/aiq/utils/optional_imports.py | 142 +++++++++++++++++++ uv.lock | 15 +- 11 files changed, 260 insertions(+), 46 deletions(-) create mode 100644 src/aiq/utils/optional_imports.py diff --git a/docs/source/concepts/observability.md b/docs/source/concepts/observability.md index ebe03cfe5..51a651922 100644 --- a/docs/source/concepts/observability.md +++ b/docs/source/concepts/observability.md @@ -24,6 +24,18 @@ The AIQ Toolkit Observability Module provides support for configurable telemetry These features enable AIQ Toolkit developers to test their workflows locally and integrate observability seamlessly. +## Installation + +The core observability features (console and file logging) are included by default. For advanced telemetry features like OpenTelemetry and Phoenix tracing, you need to install the optional telemetry dependencies: + +```bash +uv pip install -e '.[telemetry]' +``` + +This will install: +- OpenTelemetry API and SDK for distributed tracing +- Arize Phoenix for visualization and analysis of LLM traces + ## Configurable Components Users can set up telemetry configuration within the workflow configuration file. @@ -41,12 +53,12 @@ Users can write logs to: ### **Tracing Configuration** Users can set up tracing using: -- **Phoenix** +- **Phoenix** (requires `[telemetry]` extra) - **Custom providers** *(See registration section below.)* #### **Configuration Fields** - **`_type`**: The name of the registered provider. -- **`endpoint`**: The provider’s listening endpoint. +- **`endpoint`**: The provider's listening endpoint. - **`project`**: The associated project name. diff --git a/examples/agents/rewoo/README.md b/examples/agents/rewoo/README.md index 9c9c19f7c..7101450b7 100644 --- a/examples/agents/rewoo/README.md +++ b/examples/agents/rewoo/README.md @@ -42,6 +42,7 @@ If you have not already done so, follow the instructions in the [Install Guide]( From the root directory of the AIQ Toolkit library, run the following commands: ```bash +uv sync --all-groups --all-extras uv pip install -e . ``` diff --git a/pyproject.toml b/pyproject.toml index b51b5bd39..745a29ae5 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -19,7 +19,6 @@ dependencies = [ # `~=0.1.3.5`. # Keep sorted!!! "aioboto3>=11.0.0", - "arize-phoenix~=6.1", "click~=8.1", "colorama~=0.4.6", "expandvars~=1.0", @@ -32,8 +31,6 @@ dependencies = [ "numpy~=1.26", "openinference-semantic-conventions~=0.1.14", "openpyxl~=3.1", - "opentelemetry-api~=1.2", - "opentelemetry-sdk~=1.3", "pkginfo~=1.12", "platformdirs~=4.3", # work-around for arize-phoenix==6.1.0 incompatibility with pydantic==2.11.*, remove once we update arize-phoenix @@ -57,14 +54,20 @@ maintainers = [{ name = "NVIDIA Corporation" }] [project.optional-dependencies] # Optional dependencies are things that users would want to install with AIQToolkit. i.e. `uv pip install aiq[langchain]` +# Keep sorted!!! +agno = ["aiqtoolkit-agno"] crewai = ["aiqtoolkit-crewai"] langchain = ["aiqtoolkit-langchain"] llama-index = ["aiqtoolkit-llama-index"] mem0ai = ["aiqtoolkit-mem0ai"] semantic-kernel = ["aiqtoolkit-semantic-kernel"] -zep-cloud = ["aiqtoolkit-zep-cloud"] -agno = ["aiqtoolkit-agno"] +telemetry = [ + "arize-phoenix~=6.1", + "opentelemetry-api~=1.2", + "opentelemetry-sdk~=1.3", +] weave = ["aiqtoolkit-weave"] +zep-cloud = ["aiqtoolkit-zep-cloud"] examples = [ "aiq_email_phishing_analyzer", diff --git a/src/aiq/builder/workflow.py b/src/aiq/builder/workflow.py index 76b3b140f..1b8c15a18 100644 --- a/src/aiq/builder/workflow.py +++ b/src/aiq/builder/workflow.py @@ -17,8 +17,6 @@ from contextvars import ContextVar from typing import Any -from opentelemetry.sdk.trace.export import SpanExporter - from aiq.builder.context import AIQContextState from aiq.builder.embedder import EmbedderProviderInfo from aiq.builder.function import Function @@ -31,6 +29,17 @@ from aiq.data_models.config import AIQConfig from aiq.memory.interfaces import MemoryEditor from aiq.runtime.runner import AIQRunner +from aiq.utils.optional_imports import TelemetryOptionalImportError +from aiq.utils.optional_imports import try_import_opentelemetry + +# Try to import OpenTelemetry modules +# If the dependencies are not installed, use a dummy span exporter here +try: + opentelemetry = try_import_opentelemetry() + from opentelemetry.sdk.trace.export import SpanExporter +except TelemetryOptionalImportError: + from aiq.utils.optional_imports import DummySpanExporter # pylint: disable=ungrouped-imports + SpanExporter = DummySpanExporter callback_handler_var: ContextVar[Any | None] = ContextVar("callback_handler_var", default=None) diff --git a/src/aiq/builder/workflow_builder.py b/src/aiq/builder/workflow_builder.py index 00d843e7c..0dc34dbf7 100644 --- a/src/aiq/builder/workflow_builder.py +++ b/src/aiq/builder/workflow_builder.py @@ -21,11 +21,6 @@ from contextlib import AsyncExitStack from contextlib import asynccontextmanager -from opentelemetry import trace -from opentelemetry.sdk.trace import TracerProvider -from opentelemetry.sdk.trace.export import BatchSpanProcessor -from opentelemetry.sdk.trace.export import SpanExporter - from aiq.builder.builder import Builder from aiq.builder.builder import UserManagerHolder from aiq.builder.component_utils import build_dependency_sequence @@ -59,8 +54,18 @@ from aiq.memory.interfaces import MemoryEditor from aiq.profiler.decorators.framework_wrapper import chain_wrapped_build_fn from aiq.profiler.utils import detect_llm_frameworks_in_build_fn +from aiq.utils.optional_imports import TelemetryOptionalImportError +from aiq.utils.optional_imports import try_import_opentelemetry from aiq.utils.type_utils import override +# SpanExporter is needed to define ConfiguredExporter. Handling when OpenTelemetry is not installed here. +try: + opentelemetry = try_import_opentelemetry() + from opentelemetry.sdk.trace.export import SpanExporter +except TelemetryOptionalImportError: + from aiq.utils.optional_imports import DummySpanExporter # pylint: disable=ungrouped-imports + SpanExporter = DummySpanExporter + logger = logging.getLogger(__name__) @@ -156,19 +161,30 @@ async def __aenter__(self): # Now attach to AIQ Toolkit's root logger logging.getLogger().addHandler(handler) - provider = TracerProvider() - trace.set_tracer_provider(provider) + # If tracing is configured, try to import telemetry dependencies and set up tracing + if telemetry_config.tracing: + # If the dependencies are not installed, a TelemetryOptionalImportError will be raised + + # pylint: disable=unused-variable,redefined-outer-name + opentelemetry = try_import_opentelemetry() # noqa: F841 + from opentelemetry import trace + from opentelemetry.sdk.trace import TracerProvider + from opentelemetry.sdk.trace.export import BatchSpanProcessor + + provider = TracerProvider() + trace.set_tracer_provider(provider) - for key, trace_exporter_config in telemetry_config.tracing.items(): + for key, trace_exporter_config in telemetry_config.tracing.items(): - exporter_info = self._registry.get_telemetry_exporter(type(trace_exporter_config)) + exporter_info = self._registry.get_telemetry_exporter(type(trace_exporter_config)) - instance = await self._exit_stack.enter_async_context(exporter_info.build_fn(trace_exporter_config, self)) + instance = await self._exit_stack.enter_async_context( + exporter_info.build_fn(trace_exporter_config, self)) - span_processor_instance = BatchSpanProcessor(instance) - provider.add_span_processor(span_processor_instance) + span_processor_instance = BatchSpanProcessor(instance) + provider.add_span_processor(span_processor_instance) - self._exporters[key] = ConfiguredExporter(config=trace_exporter_config, instance=instance) + self._exporters[key] = ConfiguredExporter(config=trace_exporter_config, instance=instance) return self diff --git a/src/aiq/cli/type_registry.py b/src/aiq/cli/type_registry.py index 7010c74b3..e2541283d 100644 --- a/src/aiq/cli/type_registry.py +++ b/src/aiq/cli/type_registry.py @@ -23,7 +23,6 @@ from functools import cached_property from logging import Handler -from opentelemetry.sdk.trace.export import SpanExporter from pydantic import BaseModel from pydantic import ConfigDict from pydantic import Field @@ -67,6 +66,17 @@ from aiq.data_models.telemetry_exporter import TelemetryExporterConfigT from aiq.memory.interfaces import MemoryEditor from aiq.registry_handlers.registry_handler_base import AbstractRegistryHandler +from aiq.utils.optional_imports import TelemetryOptionalImportError +from aiq.utils.optional_imports import try_import_opentelemetry + +# Try to import OpenTelemetry modules +# If the dependencies are not installed, use a dummy span exporter here +try: + opentelemetry = try_import_opentelemetry() + from opentelemetry.sdk.trace.export import SpanExporter +except TelemetryOptionalImportError: + from aiq.utils.optional_imports import DummySpanExporter # pylint: disable=ungrouped-imports + SpanExporter = DummySpanExporter logger = logging.getLogger(__name__) diff --git a/src/aiq/meta/pypi.md b/src/aiq/meta/pypi.md index 1a142c7aa..f4082ceda 100644 --- a/src/aiq/meta/pypi.md +++ b/src/aiq/meta/pypi.md @@ -27,7 +27,7 @@ AIQ Toolkit is a flexible library designed to seamlessly integrate your enterpri - [**Reusability:**](https://docs.nvidia.com/aiqtoolkit/latest/guides/sharing-workflows-and-tools.html) Every agent, tool, or workflow can be combined and repurposed, allowing developers to leverage existing work in new scenarios. - [**Rapid Development:**](https://docs.nvidia.com/aiqtoolkit/latest/guides/create-customize-workflows.html) Start with a pre-built agent, tool, or workflow, and customize it to your needs. - [**Profiling:**](https://docs.nvidia.com/aiqtoolkit/latest/guides/profiler.html) Profile entire workflows down to the tool and agent level, track input/output tokens and timings, and identify bottlenecks. -- [**Observability:**](https://docs.nvidia.com/aiqtoolkit/latest/guides/observe-workflow-with-phoenix.html) Monitor and debug your workflows with any OpenTelemetry-compatible observability tool. +- [**Observability:**](https://docs.nvidia.com/aiqtoolkit/latest/guides/observe-workflow-with-phoenix.html) Monitor and debug your workflows with any OpenTelemetry-compatible observability tool. (OpenTelemetry and Phoenix integration are optional and can be installed separately if needed.) - [**Evaluation System:**](https://docs.nvidia.com/aiqtoolkit/latest/guides/evaluate.html) Validate and maintain accuracy of agentic workflows with built-in evaluation tools. - [**User Interface:**](https://docs.nvidia.com/aiqtoolkit/latest/guides/using-aiqtoolkit-ui-and-server.html) Use the AIQ Toolkit UI chat interface to interact with your agents, visualize output, and debug workflows. - [**MCP Compatibility**](https://docs.nvidia.com/aiqtoolkit/latest/components/mcp.html) Compatible with Model Context Protocol (MCP), allowing tools served by MCP Servers to be used as AIQ Toolkit functions. diff --git a/src/aiq/observability/async_otel_listener.py b/src/aiq/observability/async_otel_listener.py index 4323b3243..a2fee37b4 100644 --- a/src/aiq/observability/async_otel_listener.py +++ b/src/aiq/observability/async_otel_listener.py @@ -21,15 +21,13 @@ from openinference.semconv.trace import OpenInferenceSpanKindValues from openinference.semconv.trace import SpanAttributes -from opentelemetry import trace -from opentelemetry.sdk.trace import TracerProvider -from opentelemetry.trace import Span -from opentelemetry.trace.propagation import set_span_in_context from pydantic import TypeAdapter from aiq.builder.context import AIQContextState from aiq.data_models.intermediate_step import IntermediateStep from aiq.data_models.intermediate_step import IntermediateStepState +from aiq.utils.optional_imports import TelemetryOptionalImportError +from aiq.utils.optional_imports import try_import_opentelemetry try: from weave.trace.context import weave_client_context @@ -46,10 +44,28 @@ OPENINFERENCE_SPAN_KIND = SpanAttributes.OPENINFERENCE_SPAN_KIND +# Try to import OpenTelemetry modules +# If the dependencies are not installed, use dummy objects here +try: + opentelemetry = try_import_opentelemetry() + from opentelemetry import trace + from opentelemetry.sdk.trace import TracerProvider + from opentelemetry.trace import Span + from opentelemetry.trace.propagation import set_span_in_context +except TelemetryOptionalImportError: + from aiq.utils.optional_imports import DummySpan # pylint: disable=ungrouped-imports + from aiq.utils.optional_imports import DummyTrace # pylint: disable=ungrouped-imports + from aiq.utils.optional_imports import DummyTracerProvider # pylint: disable=ungrouped-imports + from aiq.utils.optional_imports import dummy_set_span_in_context # pylint: disable=ungrouped-imports + trace = DummyTrace + TracerProvider = DummyTracerProvider + Span = DummySpan + set_span_in_context = dummy_set_span_in_context + def _ns_timestamp(seconds_float: float) -> int: """ - Convert AIQ Toolkit’s float `event_timestamp` (in seconds) into an integer number + Convert AIQ Toolkit's float `event_timestamp` (in seconds) into an integer number of nanoseconds, as OpenTelemetry expects. """ return int(seconds_float * 1e9) @@ -62,7 +78,7 @@ class AsyncOtelSpanListener: - On FUNCTION_START => open a new top-level span - On any other intermediate step => open a child subspan (immediate open/close) - - On FUNCTION_END => close the function’s top-level span + - On FUNCTION_END => close the function's top-level span This runs fully independently from the normal AIQ Toolkit workflow, so that the workflow is not blocking or entangled by OTel calls. @@ -91,7 +107,7 @@ def __init__(self, context_state: AIQContextState | None = None): tracer_provider = TracerProvider() trace.set_tracer_provider(tracer_provider) - # We’ll optionally attach exporters if you want (out of scope to do it here). + # We'll optionally attach exporters if you want (out of scope to do it here). # Example: tracer_provider.add_span_processor(BatchSpanProcessor(your_exporter)) self._tracer = trace.get_tracer("aiq-async-otel-listener") diff --git a/src/aiq/observability/register.py b/src/aiq/observability/register.py index 4d068da62..40f6da7e3 100644 --- a/src/aiq/observability/register.py +++ b/src/aiq/observability/register.py @@ -22,6 +22,8 @@ from aiq.cli.register_workflow import register_telemetry_exporter from aiq.data_models.logging import LoggingBaseConfig from aiq.data_models.telemetry_exporter import TelemetryExporterBaseConfig +from aiq.utils.optional_imports import try_import_opentelemetry +from aiq.utils.optional_imports import try_import_phoenix logger = logging.getLogger(__name__) @@ -35,16 +37,16 @@ class PhoenixTelemetryExporter(TelemetryExporterBaseConfig, name="phoenix"): @register_telemetry_exporter(config_type=PhoenixTelemetryExporter) async def phoenix_telemetry_exporter(config: PhoenixTelemetryExporter, builder: Builder): - - from phoenix.otel import HTTPSpanExporter + """Create a Phoenix telemetry exporter.""" try: - yield HTTPSpanExporter(endpoint=config.endpoint) + # If the dependencies are not installed, a TelemetryOptionalImportError will be raised + phoenix = try_import_phoenix() # noqa: F841 + from phoenix.otel import HTTPSpanExporter + yield HTTPSpanExporter(config.endpoint) except ConnectionError as ex: logger.warning("Unable to connect to Phoenix at port 6006. Are you sure Phoenix is running?\n %s", ex, exc_info=True) - except Exception as ex: - logger.error("Error in Phoenix telemetry Exporter\n %s", ex, exc_info=True) class OtelCollectorTelemetryExporter(TelemetryExporterBaseConfig, name="otelcollector"): @@ -56,10 +58,10 @@ class OtelCollectorTelemetryExporter(TelemetryExporterBaseConfig, name="otelcoll @register_telemetry_exporter(config_type=OtelCollectorTelemetryExporter) async def otel_telemetry_exporter(config: OtelCollectorTelemetryExporter, builder: Builder): - - from opentelemetry.exporter.otlp.proto.grpc.trace_exporter import OTLPSpanExporter - - yield OTLPSpanExporter(endpoint=config.endpoint) + """Create an OpenTelemetry telemetry exporter.""" + # If the dependencies are not installed, a TelemetryOptionalImportError will be raised + opentelemetry = try_import_opentelemetry() + yield opentelemetry.sdk.trace.export.OTLPSpanExporter(config.endpoint) class ConsoleLoggingMethod(LoggingBaseConfig, name="console"): diff --git a/src/aiq/utils/optional_imports.py b/src/aiq/utils/optional_imports.py new file mode 100644 index 000000000..424e6a4c1 --- /dev/null +++ b/src/aiq/utils/optional_imports.py @@ -0,0 +1,142 @@ +# SPDX-FileCopyrightText: Copyright (c) 2024-2025, NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import importlib +import logging +from types import ModuleType + +logger = logging.getLogger(__name__) + + +class OptionalImportError(Exception): + """Raised when an optional import fails.""" + + def __init__(self, module_name: str, additional_message: str = ""): + super().__init__(f"Optional dependency '{module_name}' is not installed. {additional_message}") + + +class TelemetryOptionalImportError(OptionalImportError): + """Raised when an optional import of telemetry dependencies fails.""" + + def __init__(self, module_name: str): + super().__init__( + module_name, + "But the configuration file contains tracing exporters. " + "If you want to use this feature, please install it with: uv pip install -e '.[telemetry]'", + ) + + +def optional_import(module_name: str) -> ModuleType: + """Attempt to import a module, raising OptionalImportError if it fails.""" + try: + return importlib.import_module(module_name) + except ImportError as e: + raise OptionalImportError(module_name) from e + + +def telemetry_optional_import(module_name: str) -> ModuleType: + """Attempt to import a module, raising TelemetryOptionalImportError if it fails.""" + try: + return importlib.import_module(module_name) + except ImportError as e: + raise TelemetryOptionalImportError(module_name) from e + + +def try_import_opentelemetry() -> ModuleType: + """Get the opentelemetry module if available.""" + return telemetry_optional_import("opentelemetry") + + +def try_import_phoenix() -> ModuleType: + """Get the phoenix module if available.""" + return telemetry_optional_import("phoenix") + + +# Dummy OpenTelemetry classes for when the package is not available +class DummySpan: + """Dummy span class that does nothing when OpenTelemetry is not available.""" + + def __init__(self, *args, **kwargs): + pass + + def end(self, *args, **kwargs): + pass + + def set_attribute(self, *args, **kwargs): + pass + + +class DummyTracer: + """Dummy tracer class that returns dummy spans.""" + + def start_span(self, *args, **kwargs): + return DummySpan() + + +class DummyTracerProvider: + """Dummy tracer provider that returns dummy tracers.""" + + @staticmethod + def get_tracer(*args, **kwargs): + return DummyTracer() + + @staticmethod + def add_span_processor(*args, **kwargs): + pass + + +class DummyTrace: + """Dummy trace module that returns dummy tracer providers.""" + + @staticmethod + def get_tracer_provider(): + return DummyTracerProvider() + + @staticmethod + def set_tracer_provider(*args, **kwargs): + pass + + @staticmethod + def get_tracer(*args, **kwargs): + return DummyTracer() + + +class DummySpanExporter: + """Dummy span exporter that does nothing.""" + + @staticmethod + def export(*args, **kwargs): + pass + + @staticmethod + def shutdown(*args, **kwargs): + pass + + +class DummyBatchSpanProcessor: + """Dummy implementation of BatchSpanProcessor for when OpenTelemetry is not available.""" + + def __init__(self, *args, **kwargs): + pass + + @staticmethod + def shutdown(*args, **kwargs): + pass + + +# Dummy functions for when OpenTelemetry is not available +def dummy_set_span_in_context(*args, **kwargs) -> None: + """Dummy function that does nothing.""" + return None diff --git a/uv.lock b/uv.lock index 4f23b88fd..4a7693154 100644 --- a/uv.lock +++ b/uv.lock @@ -382,7 +382,6 @@ name = "aiqtoolkit" source = { editable = "." } dependencies = [ { name = "aioboto3" }, - { name = "arize-phoenix" }, { name = "click" }, { name = "colorama" }, { name = "expandvars" }, @@ -395,8 +394,6 @@ dependencies = [ { name = "numpy" }, { name = "openinference-semantic-conventions" }, { name = "openpyxl" }, - { name = "opentelemetry-api" }, - { name = "opentelemetry-sdk" }, { name = "pkginfo" }, { name = "platformdirs" }, { name = "pydantic" }, @@ -443,6 +440,11 @@ profiling = [ semantic-kernel = [ { name = "aiqtoolkit-semantic-kernel" }, ] +telemetry = [ + { name = "arize-phoenix" }, + { name = "opentelemetry-api" }, + { name = "opentelemetry-sdk" }, +] zep-cloud = [ { name = "aiqtoolkit-zep-cloud" }, ] @@ -499,7 +501,7 @@ requires-dist = [ { name = "aiqtoolkit-mem0ai", marker = "extra == 'mem0ai'", editable = "packages/aiqtoolkit_mem0ai" }, { name = "aiqtoolkit-semantic-kernel", marker = "extra == 'semantic-kernel'", editable = "packages/aiqtoolkit_semantic_kernel" }, { name = "aiqtoolkit-zep-cloud", marker = "extra == 'zep-cloud'", editable = "packages/aiqtoolkit_zep_cloud" }, - { name = "arize-phoenix", specifier = "~=6.1" }, + { name = "arize-phoenix", marker = "extra == 'telemetry'", specifier = "~=6.1" }, { name = "click", specifier = "~=8.1" }, { name = "colorama", specifier = "~=0.4.6" }, { name = "expandvars", specifier = "~=1.0" }, @@ -513,8 +515,8 @@ requires-dist = [ { name = "numpy", specifier = "~=1.26" }, { name = "openinference-semantic-conventions", specifier = "~=0.1.14" }, { name = "openpyxl", specifier = "~=3.1" }, - { name = "opentelemetry-api", specifier = "~=1.2" }, - { name = "opentelemetry-sdk", specifier = "~=1.3" }, + { name = "opentelemetry-api", marker = "extra == 'telemetry'", specifier = "~=1.2" }, + { name = "opentelemetry-sdk", marker = "extra == 'telemetry'", specifier = "~=1.3" }, { name = "pkginfo", specifier = "~=1.12" }, { name = "platformdirs", specifier = "~=4.3" }, { name = "prefixspan", marker = "extra == 'profiling'", specifier = "~=0.5.2" }, @@ -527,6 +529,7 @@ requires-dist = [ { name = "uvicorn", extras = ["standard"], specifier = "~=0.32.0" }, { name = "wikipedia", specifier = "~=1.4" }, ] +provides-extras = ["crewai", "langchain", "llama-index", "mem0ai", "semantic-kernel", "zep-cloud", "agno", "telemetry", "examples", "profiling"] [package.metadata.requires-dev] dev = [ From bada671025e6d39fcca90388e1522ed86a68b53b Mon Sep 17 00:00:00 2001 From: Eric Evans II <194135482+ericevans-nv@users.noreply.github.com> Date: Fri, 2 May 2025 18:23:47 -0500 Subject: [PATCH 18/60] Support user-defined HTTP request metadata in workflow tools. (#130) This pull request introduces the ability to extract and utilize user-defined attributes from incoming HTTP requests. These attributes can be accessed via the UserManagerAttributes class within the AIQContext and used in workflow tools. ## By Submitting this PR I confirm: - I am familiar with the [Contributing Guidelines](https://github.com/NVIDIA/AgentIQ/blob/develop/docs/source/advanced/contributing.md). - We require that all contributors "sign-off" on their commits. This certifies that the contribution is your original work, or you have rights to submit it under the same license, or a compatible license. - Any contribution which contains commits that are not Signed-Off will not be accepted. - When the PR is ready for review, new or existing tests cover these changes. - When the PR is ready for review, the documentation is up to date with these changes. Authors: - Eric Evans II (https://github.com/ericevans-nv) Approvers: - Michael Demoret (https://github.com/mdemoret-nv) URL: https://github.com/NVIDIA/AIQToolkit/pull/130 Signed-off-by: Yuchen Zhang --- src/aiq/builder/context.py | 14 ++ src/aiq/builder/function_base.py | 4 + src/aiq/data_models/api_server.py | 22 +++ .../fastapi_front_end_plugin_worker.py | 138 ++++++++++-------- src/aiq/runtime/session.py | 20 +++ src/aiq/runtime/user_metadata.py | 131 +++++++++++++++++ tests/aiq/server/test_unified_api_server.py | 24 ++- 7 files changed, 295 insertions(+), 58 deletions(-) create mode 100644 src/aiq/runtime/user_metadata.py diff --git a/src/aiq/builder/context.py b/src/aiq/builder/context.py index 312f6f99f..c781f5cb0 100644 --- a/src/aiq/builder/context.py +++ b/src/aiq/builder/context.py @@ -29,6 +29,7 @@ from aiq.data_models.intermediate_step import IntermediateStepType from aiq.data_models.intermediate_step import StreamEventData from aiq.data_models.invocation_node import InvocationNode +from aiq.runtime.user_metadata import RequestAttributes from aiq.utils.reactive.subject import Subject @@ -62,6 +63,7 @@ class AIQContextState(metaclass=Singleton): def __init__(self): self.input_message: ContextVar[typing.Any] = ContextVar("input_message", default=None) self.user_manager: ContextVar[typing.Any] = ContextVar("user_manager", default=None) + self.metadata: ContextVar[RequestAttributes] = ContextVar("request_attributes", default=RequestAttributes()) self.event_stream: ContextVar[Subject[IntermediateStep] | None] = ContextVar("event_stream", default=Subject()) self.active_function: ContextVar[InvocationNode] = ContextVar("active_function", default=InvocationNode(function_id="root", @@ -110,6 +112,18 @@ def user_manager(self): """ return self._context_state.user_manager.get() + @property + def metadata(self): + """ + Retrieves the request attributes instance from the current context state + providing access to user-defined metadata. + + Returns: + RequestAttributes: The instance of the request attributes + retrieved from the context state. + """ + return self._context_state.metadata.get() + @property def user_interaction_manager(self) -> AIQUserInteractionManager: """ diff --git a/src/aiq/builder/function_base.py b/src/aiq/builder/function_base.py index f7d3a317b..0e4f0aa27 100644 --- a/src/aiq/builder/function_base.py +++ b/src/aiq/builder/function_base.py @@ -368,5 +368,9 @@ def _convert_input(self, value: typing.Any): return getattr(value, first_key) + # If the value is None bypass conversion to avoid raising an error. + if value is None: + return value + # Fallback to the converter return self._converter.convert(value, to_type=self.input_class) diff --git a/src/aiq/data_models/api_server.py b/src/aiq/data_models/api_server.py index 32e61f41f..4d763e667 100644 --- a/src/aiq/data_models/api_server.py +++ b/src/aiq/data_models/api_server.py @@ -23,6 +23,7 @@ from pydantic import BaseModel from pydantic import ConfigDict from pydantic import Discriminator +from pydantic import Field from pydantic import HttpUrl from pydantic import conlist from pydantic import field_validator @@ -32,6 +33,27 @@ from aiq.utils.type_converter import GlobalTypeConverter +class Request(BaseModel): + """ + Request is a data model that represents HTTP request attributes. + """ + model_config = ConfigDict(extra="forbid") + + method: str | None = Field(default=None, + description="HTTP method used for the request (e.g., GET, POST, PUT, DELETE).") + url_path: str | None = Field(default=None, description="URL request path.") + url_port: int | None = Field(default=None, description="URL request port number.") + url_scheme: str | None = Field(default=None, description="URL scheme indicating the protocol (e.g., http, https).") + headers: typing.Any | None = Field(default=None, description="HTTP headers associated with the request.") + query_params: typing.Any | None = Field(default=None, description="Query parameters included in the request URL.") + path_params: dict[str, str] | None = Field(default=None, + description="Path parameters extracted from the request URL.") + client_host: str | None = Field(default=None, description="Client host address from which the request originated.") + client_port: int | None = Field(default=None, description="Client port number from which the request originated.") + cookies: dict[str, str] | None = Field( + default=None, description="Cookies sent with the request, stored in a dictionary-like object.") + + class ChatContentType(str, Enum): """ ChatContentType is an Enum that represents the type of Chat content. diff --git a/src/aiq/front_ends/fastapi/fastapi_front_end_plugin_worker.py b/src/aiq/front_ends/fastapi/fastapi_front_end_plugin_worker.py index 59faa45a0..755dc58e3 100644 --- a/src/aiq/front_ends/fastapi/fastapi_front_end_plugin_worker.py +++ b/src/aiq/front_ends/fastapi/fastapi_front_end_plugin_worker.py @@ -26,6 +26,7 @@ from fastapi import BackgroundTasks from fastapi import Body from fastapi import FastAPI +from fastapi import Request from fastapi import Response from fastapi.exceptions import HTTPException from fastapi.middleware.cors import CORSMiddleware @@ -235,18 +236,24 @@ async def run_evaluation(job_id: str, config_file: str, reps: int, session_manag logger.error("Error in evaluation job %s: %s", job_id, str(e)) job_store.update_status(job_id, "failure", error=str(e)) - async def start_evaluation(request: AIQEvaluateRequest, background_tasks: BackgroundTasks): + async def start_evaluation(request: AIQEvaluateRequest, + background_tasks: BackgroundTasks, + http_request: Request): """Handle evaluation requests.""" - # if job_id is present and already exists return the job info - if request.job_id: - job = job_store.get_job(request.job_id) - if job: - return AIQEvaluateResponse(job_id=job.job_id, status=job.status) - job_id = job_store.create_job(request.config_file, request.job_id, request.expiry_seconds) - create_cleanup_task() - background_tasks.add_task(run_evaluation, job_id, request.config_file, request.reps, session_manager) - return AIQEvaluateResponse(job_id=job_id, status="submitted") + async with session_manager.session(request=http_request): + + # if job_id is present and already exists return the job info + if request.job_id: + job = job_store.get_job(request.job_id) + if job: + return AIQEvaluateResponse(job_id=job.job_id, status=job.status) + + job_id = job_store.create_job(request.config_file, request.job_id, request.expiry_seconds) + create_cleanup_task() + background_tasks.add_task(run_evaluation, job_id, request.config_file, request.reps, session_manager) + + return AIQEvaluateResponse(job_id=job_id, status="submitted") def translate_job_to_response(job: JobInfo) -> AIQEvaluateStatusResponse: """Translate a JobInfo object to an AIQEvaluateStatusResponse.""" @@ -259,36 +266,45 @@ def translate_job_to_response(job: JobInfo) -> AIQEvaluateStatusResponse: updated_at=job.updated_at, expires_at=job_store.get_expires_at(job)) - def get_job_status(job_id: str) -> AIQEvaluateStatusResponse: + async def get_job_status(job_id: str, http_request: Request) -> AIQEvaluateStatusResponse: """Get the status of an evaluation job.""" logger.info("Getting status for job %s", job_id) - job = job_store.get_job(job_id) - if not job: - logger.warning("Job %s not found", job_id) - raise HTTPException(status_code=404, detail=f"Job {job_id} not found") - logger.info(f"Found job {job_id} with status {job.status}") - return translate_job_to_response(job) - - def get_last_job_status() -> AIQEvaluateStatusResponse: + + async with session_manager.session(request=http_request): + + job = job_store.get_job(job_id) + if not job: + logger.warning("Job %s not found", job_id) + raise HTTPException(status_code=404, detail=f"Job {job_id} not found") + logger.info(f"Found job {job_id} with status {job.status}") + return translate_job_to_response(job) + + async def get_last_job_status(http_request: Request) -> AIQEvaluateStatusResponse: """Get the status of the last created evaluation job.""" logger.info("Getting last job status") - job = job_store.get_last_job() - if not job: - logger.warning("No jobs found when requesting last job status") - raise HTTPException(status_code=404, detail="No jobs found") - logger.info("Found last job %s with status %s", job.job_id, job.status) - return translate_job_to_response(job) - - def get_jobs(status: str | None = None) -> list[AIQEvaluateStatusResponse]: + + async with session_manager.session(request=http_request): + + job = job_store.get_last_job() + if not job: + logger.warning("No jobs found when requesting last job status") + raise HTTPException(status_code=404, detail="No jobs found") + logger.info("Found last job %s with status %s", job.job_id, job.status) + return translate_job_to_response(job) + + async def get_jobs(http_request: Request, status: str | None = None) -> list[AIQEvaluateStatusResponse]: """Get all jobs, optionally filtered by status.""" - if status is None: - logger.info("Getting all jobs") - jobs = job_store.get_all_jobs() - else: - logger.info("Getting jobs with status %s", status) - jobs = job_store.get_jobs_by_status(status) - logger.info("Found %d jobs", len(jobs)) - return [translate_job_to_response(job) for job in jobs] + + async with session_manager.session(request=http_request): + + if status is None: + logger.info("Getting all jobs") + jobs = job_store.get_all_jobs() + else: + logger.info("Getting jobs with status %s", status) + jobs = job_store.get_jobs_by_status(status) + logger.info("Found %d jobs", len(jobs)) + return [translate_job_to_response(job) for job in jobs] if self.front_end_config.evaluate.path: # Add last job endpoint first (most specific) @@ -371,26 +387,30 @@ async def add_route(self, def get_single_endpoint(result_type: type | None): - async def get_single(response: Response): + async def get_single(response: Response, request: Request): response.headers["Content-Type"] = "application/json" - return await generate_single_response(None, session_manager, result_type=result_type) + async with session_manager.session(request=request): + + return await generate_single_response(None, session_manager, result_type=result_type) return get_single def get_streaming_endpoint(streaming: bool, result_type: type | None, output_type: type | None): - async def get_stream(): + async def get_stream(request: Request): - return StreamingResponse(headers={"Content-Type": "text/event-stream; charset=utf-8"}, - content=generate_streaming_response_as_str( - None, - session_manager=session_manager, - streaming=streaming, - step_adaptor=self.get_step_adaptor(), - result_type=result_type, - output_type=output_type)) + async with session_manager.session(request=request): + + return StreamingResponse(headers={"Content-Type": "text/event-stream; charset=utf-8"}, + content=generate_streaming_response_as_str( + None, + session_manager=session_manager, + streaming=streaming, + step_adaptor=self.get_step_adaptor(), + result_type=result_type, + output_type=output_type)) return get_stream @@ -411,11 +431,13 @@ async def get_stream(filter_steps: str | None = None): def post_single_endpoint(request_type: type, result_type: type | None): - async def post_single(response: Response, payload: request_type): + async def post_single(response: Response, request: Request, payload: request_type): response.headers["Content-Type"] = "application/json" - return await generate_single_response(payload, session_manager, result_type=result_type) + async with session_manager.session(request=request): + + return await generate_single_response(payload, session_manager, result_type=result_type) return post_single @@ -424,16 +446,18 @@ def post_streaming_endpoint(request_type: type, result_type: type | None, output_type: type | None): - async def post_stream(payload: request_type): + async def post_stream(request: Request, payload: request_type): - return StreamingResponse(headers={"Content-Type": "text/event-stream; charset=utf-8"}, - content=generate_streaming_response_as_str( - payload, - session_manager=session_manager, - streaming=streaming, - step_adaptor=self.get_step_adaptor(), - result_type=result_type, - output_type=output_type)) + async with session_manager.session(request=request): + + return StreamingResponse(headers={"Content-Type": "text/event-stream; charset=utf-8"}, + content=generate_streaming_response_as_str( + payload, + session_manager=session_manager, + streaming=streaming, + step_adaptor=self.get_step_adaptor(), + result_type=result_type, + output_type=output_type)) return post_stream diff --git a/src/aiq/runtime/session.py b/src/aiq/runtime/session.py index 3a72ec722..daa7ae052 100644 --- a/src/aiq/runtime/session.py +++ b/src/aiq/runtime/session.py @@ -21,6 +21,8 @@ from contextlib import asynccontextmanager from contextlib import nullcontext +from fastapi import Request + from aiq.builder.context import AIQContext from aiq.builder.context import AIQContextState from aiq.builder.workflow import Workflow @@ -84,6 +86,7 @@ def context(self) -> AIQContext: @asynccontextmanager async def session(self, user_manager=None, + request: Request = None, user_input_callback: Callable[[InteractionPrompt], Awaitable[HumanResponse]] = None): token_user_input = None @@ -94,6 +97,8 @@ async def session(self, if user_manager is not None: token_user_manager = self._context_state.user_manager.set(user_manager) + self.set_request_attributes(request) + try: yield self finally: @@ -114,3 +119,18 @@ async def run(self, message): async with self._workflow.run(message) as runner: yield runner + + def set_request_attributes(self, request: Request) -> None: + """ + Extracts and sets request attributes from an HTTP request. + """ + self._context.metadata._request.method = request.method + self._context.metadata._request.url_path = request.url.path + self._context.metadata._request.url_port = request.url.port + self._context.metadata._request.url_scheme = request.url.scheme + self._context.metadata._request.headers = request.headers + self._context.metadata._request.query_params = request.query_params + self._context.metadata._request.path_params = request.path_params + self._context.metadata._request.client_host = request.client.host + self._context.metadata._request.client_port = request.client.port + self._context.metadata._request.cookies = request.cookies diff --git a/src/aiq/runtime/user_metadata.py b/src/aiq/runtime/user_metadata.py new file mode 100644 index 000000000..388d5584f --- /dev/null +++ b/src/aiq/runtime/user_metadata.py @@ -0,0 +1,131 @@ +# SPDX-FileCopyrightText: Copyright (c) 2024-2025, NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +from starlette.datastructures import Headers +from starlette.datastructures import QueryParams + +from aiq.data_models.api_server import Request + + +class RequestAttributes: + """ + The RequestAttributes class is responsible for managing user-defined + metadata and attributes. It provides a way to store and + expose user-defined attributes to workflow tools. + """ + + def __init__(self) -> None: + self._request: Request = Request() + + @property + def method(self) -> str | None: + """ + This property retrieves the HTTP method of the request. + It can be GET, POST, PUT, DELETE, etc. + + Returns: + str | None + """ + return self._request.method + + @property + def url_path(self) -> str | None: + """ + This property retrieves the path from the URL of the request. + + Returns: + str | None + """ + return self._request.url_path + + @property + def url_port(self) -> int | None: + """ + This property retrieves the port number from the URL of the request. + + Returns: + int | None + """ + return self._request.url_port + + @property + def url_scheme(self) -> str | None: + """ + This property retrieves the scheme from the URL of the request. + + Returns: + str | None + """ + return self._request.url_scheme + + @property + def headers(self) -> Headers | None: + """ + This property retrieves the headers from the request stored in a dictionary-like object. + + Returns: + Headers | None + """ + return self._request.headers + + @property + def query_params(self) -> QueryParams | None: + """ + This property retrieves the query parameters from the request stored in a dictionary-like object. + + Returns: + QueryParams | None + """ + return self._request.query_params + + @property + def path_params(self) -> dict[str, str] | None: + """ + This property retrieves the path parameters from the request stored in a dictionary-like object. + + Returns: + dict[str, str] | None + """ + return self._request.path_params + + @property + def client_host(self) -> str | None: + """ + This property retrieves the clients remote hostname or IP address. + + Returns: + str | None + """ + return self._request.client_host + + @property + def client_port(self) -> int | None: + """ + This property retrieves the clients remote port number from which the client is connecting to. + + Returns: + int | None + """ + return self._request.client_port + + @property + def cookies(self) -> dict[str, str] | None: + """ + This property retrieves the cookies from the request stored in a dictionary-like object. + + Returns: + dict[str, str] | None + """ + return self._request.cookies diff --git a/tests/aiq/server/test_unified_api_server.py b/tests/aiq/server/test_unified_api_server.py index 03571edce..ef93c4523 100644 --- a/tests/aiq/server/test_unified_api_server.py +++ b/tests/aiq/server/test_unified_api_server.py @@ -22,9 +22,11 @@ import pytest_asyncio import yaml from asgi_lifespan import LifespanManager +from httpx import ASGITransport from pydantic import BaseModel from pydantic import ValidationError +from aiq.builder.context import AIQContext from aiq.data_models.api_server import AIQChatResponse from aiq.data_models.api_server import AIQChatResponseChunk from aiq.data_models.api_server import AIQChoice @@ -296,7 +298,9 @@ async def client_fixture(config): fastapi_app = front_end_worker.build_app() async with LifespanManager(fastapi_app) as manager: - async with httpx.AsyncClient(app=manager.app, base_url=f"http://{config.app.host}:{config.app.port}") as client: + transport = ASGITransport(app=manager.app) + async with httpx.AsyncClient(transport=transport, + base_url=f"http://{config.app.host}:{config.app.port}") as client: yield client @@ -338,6 +342,24 @@ async def test_chat_stream_endpoint(client: httpx.AsyncClient, config: Config): assert isinstance(validated_response, AIQChatResponseChunk) +@pytest.mark.e2e +async def test_user_attributes_from_http_request(client: httpx.AsyncClient, config: Config): + """Tests setting user attributes from HTTP request.""" + input_message = {"input_message": f"{config.app.input}"} + headers = {"Header-Test": "application/json"} + query_params = {"param1": "value1"} + response = await client.post( + f"{config.endpoint.generate}", + json=input_message, + headers=headers, + params=query_params, + ) + aiq_context = AIQContext.get() + assert aiq_context.metadata.headers['header-test'] == headers["Header-Test"] + assert aiq_context.metadata.query_params['param1'] == query_params["param1"] + assert response.status_code == 200 + + async def test_valid_user_message(): """Validate raw message against approved message type WebSocketUserMessage""" message_validator = MessageValidator() From 840fa9c90345fb246469bafd42b83ad0d998bece Mon Sep 17 00:00:00 2001 From: Anuradha Karuppiah Date: Mon, 5 May 2025 12:06:49 -0700 Subject: [PATCH 19/60] Check if request is present before setting attributes (#209) Steps to repro: Install latest AiqToolKit from source and run the simple-calculator example: ``` aiq run --config_file examples/simple_cal culator/configs/config.yml --input "What is the product of 3 and 7, and is it greater than the curre nt hour?" ``` Following traceback is seen: ``` 2025-05-05 11:18:30,130 - aiq.cli.commands.start - ERROR - Failed to initialize workflow Traceback (most recent call last): File "/home/devcontainers/dev/forks/agentiq/src/aiq/cli/commands/start.py", line 229, in invoke_subcommand return asyncio.run(run_plugin()) ^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/devcontainers/dev/forks/agentiq/.venv/lib/python3.12/site-packages/nest_asyncio.py", line 30, in run return loop.run_until_complete(task) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/devcontainers/dev/forks/agentiq/.venv/lib/python3.12/site-packages/nest_asyncio.py", line 98, in run_until_complete return f.result() ^^^^^^^^^^ File "/home/devcontainers/.local/share/uv/python/cpython-3.12.8-linux-x86_64-gnu/lib/python3.12/asyncio/futures.py", line 202, in result raise self._exception.with_traceback(self._exception_tb) File "/home/devcontainers/.local/share/uv/python/cpython-3.12.8-linux-x86_64-gnu/lib/python3.12/asyncio/tasks.py", line 316, in __step_run_and_handle_result result = coro.throw(exc) ^^^^^^^^^^^^^^^ File "/home/devcontainers/dev/forks/agentiq/src/aiq/cli/commands/start.py", line 227, in run_plugin await front_end_plugin.run() File "/home/devcontainers/dev/forks/agentiq/src/aiq/front_ends/console/console_front_end_plugin.py", line 74, in run await self.run_workflow(session_manager) File "/home/devcontainers/dev/forks/agentiq/src/aiq/front_ends/console/console_front_end_plugin.py", line 94, in run_workflow runner_outputs = await asyncio.gather(*[run_single_query(query) for query in input_list]) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/devcontainers/.local/share/uv/python/cpython-3.12.8-linux-x86_64-gnu/lib/python3.12/asyncio/tasks.py", line 385, in __wakeup future.result() File "/home/devcontainers/.local/share/uv/python/cpython-3.12.8-linux-x86_64-gnu/lib/python3.12/asyncio/tasks.py", line 314, in __step_run_and_handle_result result = coro.send(None) ^^^^^^^^^^^^^^^ File "/home/devcontainers/dev/forks/agentiq/src/aiq/front_ends/console/console_front_end_plugin.py", line 84, in run_single_query async with session_manager.session(user_input_callback=prompt_for_input_cli) as session: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/devcontainers/.local/share/uv/python/cpython-3.12.8-linux-x86_64-gnu/lib/python3.12/contextlib.py", line 210, in __aenter__ return await anext(self.gen) ^^^^^^^^^^^^^^^^^^^^^ File "/home/devcontainers/dev/forks/agentiq/src/aiq/runtime/session.py", line 100, in session self.set_request_attributes(request) File "/home/devcontainers/dev/forks/agentiq/src/aiq/runtime/session.py", line 127, in set_request_attributes self._context.metadata._request.method = request.method ^^^^^^^^^^^^^^ AttributeError: 'NoneType' object has no attribute 'method' Error: 'NoneType' object has no attribute 'method' ``` This PR adds a sanity check to prevent request access unless it is present. ## By Submitting this PR I confirm: - I am familiar with the [Contributing Guidelines](https://github.com/NVIDIA/AIQToolkit/blob/develop/docs/source/advanced/contributing.md). - We require that all contributors "sign-off" on their commits. This certifies that the contribution is your original work, or you have rights to submit it under the same license, or a compatible license. - Any contribution which contains commits that are not Signed-Off will not be accepted. - When the PR is ready for review, new or existing tests cover these changes. - When the PR is ready for review, the documentation is up to date with these changes. Authors: - Anuradha Karuppiah (https://github.com/AnuradhaKaruppiah) Approvers: - Eric Evans II (https://github.com/ericevans-nv) URL: https://github.com/NVIDIA/AIQToolkit/pull/209 Signed-off-by: Yuchen Zhang --- src/aiq/runtime/session.py | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/src/aiq/runtime/session.py b/src/aiq/runtime/session.py index daa7ae052..d1ef01b38 100644 --- a/src/aiq/runtime/session.py +++ b/src/aiq/runtime/session.py @@ -123,7 +123,11 @@ async def run(self, message): def set_request_attributes(self, request: Request) -> None: """ Extracts and sets request attributes from an HTTP request. + If request is None, no attributes are set. """ + if request is None: + return + self._context.metadata._request.method = request.method self._context.metadata._request.url_path = request.url.path self._context.metadata._request.url_port = request.url.port From 6e3eb774f47f2e561a901cae5c32a997223ded49 Mon Sep 17 00:00:00 2001 From: hsin-c <109615347+hsin-c@users.noreply.github.com> Date: Mon, 5 May 2025 15:16:34 -0700 Subject: [PATCH 20/60] Add the alert triage agent example (#193) This PR adds a new multi-agent example for alert triaging. Tested offline and verified the output to match expected labels on the test dataset (in the `data/` folder). Authors: - https://github.com/hsin-c - Anuradha Karuppiah (https://github.com/AnuradhaKaruppiah) Approvers: - David Gardner (https://github.com/dagardner-nv) URL: https://github.com/NVIDIA/AIQToolkit/pull/193 Signed-off-by: Yuchen Zhang --- .gitattributes | 1 + .../styles/config/vocabularies/aiq/accept.txt | 1 + examples/alert_triage_agent/.env_example | 35 + examples/alert_triage_agent/README.md | 358 +++ examples/alert_triage_agent/configs | 1 + examples/alert_triage_agent/data | 1 + examples/alert_triage_agent/pyproject.toml | 27 + .../src/aiq_alert_triage_agent/__init__.py | 0 .../src/aiq_alert_triage_agent/categorizer.py | 67 + .../aiq_alert_triage_agent/configs/config.yml | 91 + .../data/ata_diagram.png | 3 + .../data/benign_fallback_test_data.json | 3 + .../data/maintenance_static_dataset.csv | 3 + .../aiq_alert_triage_agent/data/test_data.csv | 3 + .../hardware_check_tool.py | 121 + .../host_performance_check_tool.py | 166 ++ .../maintenance_check.py | 250 ++ .../monitoring_process_check_tool.py | 124 + .../network_connectivity_check_tool.py | 123 + .../src/aiq_alert_triage_agent/playbooks.py | 182 ++ .../src/aiq_alert_triage_agent/prompts.py | 247 ++ .../src/aiq_alert_triage_agent/register.py | 184 ++ .../src/aiq_alert_triage_agent/run.py | 170 ++ .../telemetry_metrics_analysis_agent.py | 103 + ...metry_metrics_host_heartbeat_check_tool.py | 87 + ...try_metrics_host_performance_check_tool.py | 172 ++ .../src/aiq_alert_triage_agent/utils.py | 247 ++ pyproject.toml | 5 +- uv.lock | 2049 ++++------------- 29 files changed, 3231 insertions(+), 1593 deletions(-) create mode 100644 examples/alert_triage_agent/.env_example create mode 100644 examples/alert_triage_agent/README.md create mode 120000 examples/alert_triage_agent/configs create mode 120000 examples/alert_triage_agent/data create mode 100644 examples/alert_triage_agent/pyproject.toml create mode 100644 examples/alert_triage_agent/src/aiq_alert_triage_agent/__init__.py create mode 100644 examples/alert_triage_agent/src/aiq_alert_triage_agent/categorizer.py create mode 100644 examples/alert_triage_agent/src/aiq_alert_triage_agent/configs/config.yml create mode 100644 examples/alert_triage_agent/src/aiq_alert_triage_agent/data/ata_diagram.png create mode 100644 examples/alert_triage_agent/src/aiq_alert_triage_agent/data/benign_fallback_test_data.json create mode 100644 examples/alert_triage_agent/src/aiq_alert_triage_agent/data/maintenance_static_dataset.csv create mode 100644 examples/alert_triage_agent/src/aiq_alert_triage_agent/data/test_data.csv create mode 100644 examples/alert_triage_agent/src/aiq_alert_triage_agent/hardware_check_tool.py create mode 100644 examples/alert_triage_agent/src/aiq_alert_triage_agent/host_performance_check_tool.py create mode 100644 examples/alert_triage_agent/src/aiq_alert_triage_agent/maintenance_check.py create mode 100644 examples/alert_triage_agent/src/aiq_alert_triage_agent/monitoring_process_check_tool.py create mode 100644 examples/alert_triage_agent/src/aiq_alert_triage_agent/network_connectivity_check_tool.py create mode 100644 examples/alert_triage_agent/src/aiq_alert_triage_agent/playbooks.py create mode 100644 examples/alert_triage_agent/src/aiq_alert_triage_agent/prompts.py create mode 100644 examples/alert_triage_agent/src/aiq_alert_triage_agent/register.py create mode 100644 examples/alert_triage_agent/src/aiq_alert_triage_agent/run.py create mode 100644 examples/alert_triage_agent/src/aiq_alert_triage_agent/telemetry_metrics_analysis_agent.py create mode 100644 examples/alert_triage_agent/src/aiq_alert_triage_agent/telemetry_metrics_host_heartbeat_check_tool.py create mode 100644 examples/alert_triage_agent/src/aiq_alert_triage_agent/telemetry_metrics_host_performance_check_tool.py create mode 100644 examples/alert_triage_agent/src/aiq_alert_triage_agent/utils.py diff --git a/.gitattributes b/.gitattributes index f5611ab01..320ec17b4 100644 --- a/.gitattributes +++ b/.gitattributes @@ -3,3 +3,4 @@ examples/simple_calculator/src/aiq_simple_calculator/data/** filter=lfs diff=lfs examples/simple/src/aiq_simple/data/** filter=lfs diff=lfs merge=lfs -text examples/swe_bench/src/aiq_swe_bench/data/** filter=lfs diff=lfs merge=lfs -text docs/source/_static/*.png filter=lfs diff=lfs merge=lfs -text +examples/alert_triage_agent/src/aiq_alert_triage_agent/data/** filter=lfs diff=lfs merge=lfs -text diff --git a/ci/vale/styles/config/vocabularies/aiq/accept.txt b/ci/vale/styles/config/vocabularies/aiq/accept.txt index 5d2af735c..1e2018432 100644 --- a/ci/vale/styles/config/vocabularies/aiq/accept.txt +++ b/ci/vale/styles/config/vocabularies/aiq/accept.txt @@ -17,6 +17,7 @@ arXiv [Cc]allable(s?) # Documentation for ccache only capitalizes the name at the start of a sentence https://ccache.dev/ [Cc]cache +[Cc]ategorizer [Cc]hatbot(s?) # clangd is never capitalized even at the start of a sentence https://clangd.llvm.org/ clangd diff --git a/examples/alert_triage_agent/.env_example b/examples/alert_triage_agent/.env_example new file mode 100644 index 000000000..e1bdaad26 --- /dev/null +++ b/examples/alert_triage_agent/.env_example @@ -0,0 +1,35 @@ +# SPDX-FileCopyrightText: Copyright (c) 2025, NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 + +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at + +# http://www.apache.org/licenses/LICENSE-2.0 + +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +# Example .env file +# Required for accessing NVIDIA AI services +NVIDIA_API_KEY="" + +# Set to "true" to run agent in test mode using synthetic data instead of live systems +TEST_MODE=true + +# All file paths below should be relative to register.py location + +# Path to CSV containing scheduled maintenance window data +MAINTENANCE_STATIC_DATA_PATH="data/maintenance_static_dataset.csv" + +# Main test dataset in CSV format containing alerts and their simulated environments +TEST_DATA_RELATIVE_FILEPATH="data/test_data.csv" + +# JSON file with baseline/normal system behavior data +TEST_BENIGN_DATA_RELATIVE_FILEPATH="data/benign_fallback_test_data.json" + +# Path where test results will be saved as a CSV file +TEST_OUTPUT_RELATIVE_FILEPATH=".tmp/aiq/examples/aiq_alert_triage_agent/output/test_output.csv" diff --git a/examples/alert_triage_agent/README.md b/examples/alert_triage_agent/README.md new file mode 100644 index 000000000..f3c828b81 --- /dev/null +++ b/examples/alert_triage_agent/README.md @@ -0,0 +1,358 @@ + +# Alert Triage using Agent Intelligence Toolkit +This example demonstrates how to build an intelligent alert triage system using AIQ Toolkit and LangGraph. The system analyzes system monitoring alerts, performs diagnostic checks using various tools, and generates structured triage reports with root cause categorization. It showcases how to combine LLMs with domain-specific diagnostic tools to create an automated troubleshooting workflow. + +## Table of contents +- [Alert Triage using Agent Intelligence Toolkit](#alert-triage-using-agent-intelligence-toolkit) + - [Table of contents](#table-of-contents) + - [Use case description](#use-case-description) + - [Why use an agentic design?](#why-use-an-agentic-design) + - [How it works](#how-it-works) + - [1. Alert Received](#1-alert-received) + - [2. Maintenance Check](#2-maintenance-check) + - [3. Alert Triage Agent](#3-alert-triage-agent) + - [4. Dynamic Tool Invocation](#4-dynamic-tool-invocation) + - [5. Root Cause Categorization](#5-root-cause-categorization) + - [6. Report Generation](#6-report-generation) + - [7. Analyst Review](#7-analyst-review) + - [Installation and setup](#installation-and-setup) + - [Install this workflow](#install-this-workflow) + - [Set up environment variables](#set-up-environment-variables) + - [Example Usage](#example-usage) + - [Running in a live environment](#running-in-a-live-environment) + - [Note on credentials and access](#note-on-credentials-and-access) + - [Running live with a HTTP server listening for alerts](#running-live-with-a-http-server-listening-for-alerts) + - [Running in test mode](#running-in-test-mode) + + +## Use case description +This example provides an agentic system designed to automate the triage of server-monitoring alerts. The system aims to address several key challenges in alert management: + +* **High alert volume** overwhelms security teams and makes timely triage difficult. +* **Institutional knowledge dependency** limits scalability and consistency. +* **Manual context gathering** from scattered systems slows down investigations. +* **Tedious documentation process** make it hard to track or audit triage outcomes. + +To solve the problems, the system introduces an event-driven alert triage agent that initiates automated +investigations when new alerts are generated by a monitoring platform. Rather than relying on human prompts, +the agent autonomously: + +1. **Analyzes incoming alerts** to identify alert type and affected host +2. **Selects appropriate diagnostic tools** from available options: + - Hardware checks via IPMI + - Host performance metrics (CPU, memory) + - Process monitoring status + - Network connectivity tests + - Telemetry metrics analysis +3. **Correlates data from multiple source and iteratively reasons around it** to determine root cause +4. **Generates structured reports** with: + - Alert summary + - Collected metrics + - Analysis and interpretation + - Recommended actions + - Alert status classification +5. **Categorizes root causes** into predefined types like hardware, software, network, etc. + +### Why use an agentic design? + +An agentic design powered by LLMs provides key benefits over traditional rule-based systems: + +- **Handles many alert types**: Traditional triage systems break down when alert types grow in number and complexity. Agentic systems adapt on the fly—no need to hard-code every investigation path. +- **Chooses the right tools dynamically**: Based on the alert context, the system can select the most relevant tools and data sources without manual intervention. +- **Built-in Reporting**: Every investigation ends with a natural language summary (with analysis, findings, and next steps), saving time and providing traceability. + +## How it works +Here's a step-by-step breakdown of the workflow: + +![Alert Triage Agent Architecture](./src/aiq_alert_triage_agent/data/ata_diagram.png) + +#### 1. Alert Received +- A new alert is triggered by a monitoring system, containing details like `host_id` and `timestamp` +- Initiates the investigation process by passing a JSON-formatted alert message + +#### 2. Maintenance Check +- Before deeper investigation, a [Maintenance Check](./src/aiq_alert_triage_agent/maintenance_check.py) tool queries a maintenance database to see if the alert coincides with scheduled maintenance +- If maintenance is ongoing, a summary report is generated explaining the maintenance context +- If no maintenance is found, the response NO_ONGOING_MAINTENANCE_STR allows for further agentic investigation + +#### 3. Alert Triage Agent +- If not under maintenance, the [Alert Triage Agent](./src/aiq_alert_triage_agent/register.py#L34) orchestrates the investigation +- It analyzes the alert JSON to identify the alert type and affected host +- Based on this analysis, it dynamically selects appropriate diagnostic tools + +#### 4. Dynamic Tool Invocation +The triage agent may call one or more of the following tools based on the alert context: +- [Telemetry Metrics Analysis Agent](./src/aiq_alert_triage_agent/telemetry_metrics_analysis_agent.py) + - Collects and analyzes host-level telemetry data: + - [Host Performance Check](./src/aiq_alert_triage_agent/telemetry_metrics_host_performance_check_tool.py): Pulls and analyzes CPU usage patterns + - [Host Heartbeat Check](./src/aiq_alert_triage_agent/telemetry_metrics_host_heartbeat_check_tool.py): Monitors host's heartbeat signals +- [Network Connectivity Check](./src/aiq_alert_triage_agent/network_connectivity_check_tool.py) + - Verifies if the host is reachable over the network. +- [Monitoring Process Check](./src/aiq_alert_triage_agent/monitoring_process_check_tool.py) + - Connects to the host to verify monitoring service status (e.g. `telegraf`) + - Checks if monitoring processes are running as expected +- [Host Performance Check](./src/aiq_alert_triage_agent/host_performance_check_tool.py) + - Retrieves system performance metrics like: + - CPU utilization + - Memory usage + - System load + - Analyzes metrics in relation to the alert context +- [Hardware Check](./src/aiq_alert_triage_agent/hardware_check_tool.py) + - Interfaces with IPMI for hardware-level diagnostics + - Monitors environmental metrics: + - Temperature readings + - Power status + - Hardware component health + +#### 5. Root Cause Categorization +- The agent correlates data gathered from all diagnostic tools +- The [Categorizer](./src/aiq_alert_triage_agent/categorizer.py) uses LLM reasoning capabilities to determine the most likely root cause +- Classifies the issue into predefined categories (see the [categorizer prompt](./src/aiq_alert_triage_agent/prompts.py#L44)): + - `software`: Malfunctioning or inactive monitoring services + - `network_connectivity`: Host unreachable or connection issues + - `hardware`: Hardware failures or degradation + - `repetitive_behavior`: Recurring patterns like CPU spikes + - `false_positive`: No clear signs of failure, system appears healthy + - `need_investigation`: Insufficient information for clear root cause + +#### 6. Report Generation +- Produces a markdown-formatted report containing: + - Alert details and context + - Maintenance status if applicable + - Results from each diagnostic tool + - Root cause analysis and classification + - Recommended next steps + +#### 7. Analyst Review +- The final report is presented to an Analyst for review, action, or escalation. + + +## Installation and setup + +If you have not already done so, follow the instructions in the [Install Guide](../../docs/source/intro/install.md) to create the development environment and install AIQ Toolkit. + +### Install this workflow + +From the root directory of the AIQ Toolkit library, run the following commands: + +```bash +uv pip install -e ./examples/alert_triage_agent +``` + +### Set up environment variables +In addition to the `NVIDIA_API_KEY` required by AIQ Toolkit, the following environment variables are required for this example. A sample `.env` file is provided in the [.env_example](.env_example) file: + +- `TEST_MODE`: Set to "true" to run the agent in test mode which processes alerts using test data instead of live systems +- `MAINTENANCE_STATIC_DATA_PATH`: Path to CSV file containing static maintenance window data +- `TEST_DATA_RELATIVE_FILEPATH`: Main source of test data in CSV format, containing alerts and their simulated environments to process + - Contains alerts and their corresponding simulated environments represented by mocked tool return values + - When the agent queries tools to understand the alert environment, it receives these pre-configured synthetic responses + - Enables testing in a controlled environment without connecting to real hosts/systems +- `TEST_BENIGN_DATA_RELATIVE_FILEPATH`: JSON file containing baseline/normal system behavior data + - Provides fallback responses for tools not explicitly mocked in the main test data + - Contains "benign" or normal system state data that tools should return when not part of the simulated issue + - Used when the agent queries tools beyond those relevant to the test case, simulating healthy parts of the system +- `TEST_OUTPUT_RELATIVE_FILEPATH`: Path where test results will be saved in CSV format + + +To load the environment variables from your .env file, run: +```bash +export $(grep -v '^#' .env | xargs) +``` + +## Example Usage +You can run the agent in [test mode](#running-in-test-mode) or [live mode](#running-live-with-a-http-server-listening-for-alerts). Test mode allows you to evaluate the agent in a controlled, offline environment using synthetic data. Live mode allows you to run the agent in a real environment. + +### Running in a live environment +In live mode, each tool used by the triage agent connects to real systems to collect data. These systems can include: + +- Cloud APIs for retrieving metrics +- On-premises endpoints for hardware monitoring +- Target hosts accessed via SSH to run diagnostic playbooks to gather system command outputs + +To run the agent live, follow these steps: + +1. **Configure all tools with real environment details** + By default, the agent includes placeholder values for API endpoints, host IP addresses, credentials, and other access parameters. You must: + - Replace these placeholders with the actual values specific to your systems + - Ensure the agent has access permissions to query APIs or connect to hosts + - Test each tool in isolation to confirm it works end-to-end + +2. **Add custom tools if needed** + If your environment includes unique systems or data sources, you can define new tools or modify existing ones. This allows your triage agent to pull in the most relevant data for your alerts and infrastructure. + +3. **Disable test mode** + Set the environment variable `TEST_MODE=false` to ensure the agent uses real data instead of synthetic test datasets. + +4. **Run the agent with a real alert** + Provide a live alert in JSON format and invoke the agent using: + + ```bash + aiq run --config_file=examples/alert_triage_agent/configs/config.yml --input {your_alert_in_json_format} + ``` +This will trigger a full end-to-end triage process using live data sources. + +#### Note on credentials and access + +We recommend managing secrets (for example, API keys, SSH keys) using a secure method such as environment variables, secret management tools, or encrypted `.env` files. Never hard-code sensitive values into the source code. + +### Running live with a HTTP server listening for alerts +The example includes a Flask-based HTTP server ([`run.py`](./src/aiq_alert_triage_agent/run.py)) that can continuously listen for and process alerts. This allows integration with monitoring systems that send alerts via HTTP POST requests. + +To use this mode, first ensure you have configured your live environment as described in the previous section. Then: +1. **Start the Alert Triage Server** + + From the root directory of the AIQ Toolkit library, run: + ```bash + python examples/alert_triage_agent/src/aiq_alert_triage_agent/run.py \ + --host 0.0.0.0 \ + --port 5000 \ + --env_file examples/alert_triage_agent/.your_custom_env + ``` + + The server will start and display: + ``` + ---------------[ Alert Triage HTTP Server ]----------------- + Protocol : HTTP + Listening : 0.0.0.0:5000 + Env File : examples/alert_triage_agent/.your_custom_env + Endpoint : POST /alerts with JSON payload + ``` + +2. **Send Alerts to the Server** + + In a separate terminal, you can send alerts using `curl`. The server accepts both single alerts and arrays of alerts. + + Example: Send a single alert: + ```bash + curl -X POST http://localhost:5000/alerts \ + -H "Content-Type: application/json" \ + -d '{ + "alert_id": 1, + "alert_name": "InstanceDown", + "host_id": "test-instance-1.example.com", + "severity": "critical", + "description": "Instance test-instance-1.example.com is not available for scrapping for the last 5m. Please check: - instance is up and running; - monitoring service is in place and running; - network connectivity is ok", + "summary": "Instance test-instance-1.example.com is down", + "timestamp": "2025-04-28T05:00:00.000000" + }' + ``` + + Example: Send multiple alerts: + ```bash + curl -X POST http://localhost:5000/alerts \ + -H "Content-Type: application/json" \ + -d '[{ + "alert_id": 1, + "alert_name": "InstanceDown", + "host_id": "test-instance-1.example.com", + "severity": "critical", + "description": "Instance test-instance-1.example.com is not available for scrapping for the last 5m. Please check: - instance is up and running; - monitoring service is in place and running; - network connectivity is ok", + "summary": "Instance test-instance-1.example.com is down", + "timestamp": "2025-04-28T05:00:00.000000" + }, { + "alert_id": 2, + "alert_name": "CPUUsageHighError", + "host_id": "test-instance-2.example.com", + "severity": "critical", + "description": "CPU Overall usage on test-instance-2.example.com is high ( current value 100% ). Please check: - trend of cpu usage for all cpus; - running processes for investigate issue; - is there any hardware related issues (e.g. IO bottleneck)", + "summary": "CPU Usage on test-instance-2.example.com is high (error state)", + "timestamp": "2025-04-28T06:00:00.000000" + }]' + ``` + +3. **Server Response** + + The server will respond with: + ```json + { + "received_alert_count": 2, + "total_launched": 5 + } + ``` + + Where: + - `received_alert_count` shows the number of alerts received in the latest request + - `total_launched` shows the cumulative count of all alerts processed + + Each alert will trigger an automated triage process. + +4. **Monitoring the Process** + + The server logs will show: + - When alerts are received + - The start of each triage process + - Any errors that occur during processing + + You can monitor the progress of the triage process through these logs and the generated reports. + +### Running in test mode +Test mode lets you evaluate the triage agent in a controlled, offline environment using synthetic data. Instead of calling real systems, the agent uses predefined inputs to simulate alerts and tool outputs, ideal for development, debugging, and tuning. + +To run in test mode: +1. **Set required environment variables** +Follow the instructions in the [Set up environment variables](#set-up-environment-variables) section to make sure all variables are set. (`TEST_MODE=true`) + +2. **How it works** +- The **main test CSV** provides both alert details and a mock environment. For each alert, expected tool return values are included. These simulate how the environment would behave if the alert occurred on a real system. +- The **benign fallback dataset** fills in tool responses when the agent calls a tool not explicitly defined in the alert's test data. These fallback responses mimic healthy system behavior and help provide the "background scenery" without obscuring the true root cause. + +3. **Run the agent in test mode** + + Run the agent with: + ```bash + aiq run --config_file=examples/alert_triage_agent/configs/config.yml --input "test_mode" + ``` + Note: The `--input` value is ignored in test mode. + + The agent will: + - Load alerts from the test dataset `TEST_DATA_RELATIVE_FILEPATH` + - Simulate an investigation using predefined tool results + - Iterate through all the alerts in the dataset + - Save reports as a new column in a copy of the test CSV file to the path specified in `TEST_OUTPUT_RELATIVE_FILEPATH` + +4. **Understanding the output** + + The output file will contain a new column named `output`, which includes the markdown report generated by the agent for each data point (i.e., each row in the CSV). Navigate to that rightmost `output` column to view the report for each test entry. + + Sample output snippet: +``` +## Alert Summary +The alert received was for an "InstanceDown" event, indicating that the instance "test-instance-0.example.com" was not available for scraping for the last 5 minutes. + +## Collected Metrics +The following metrics were collected: +- Network connectivity check: Successful ping and telnet tests indicated that the host is reachable and the monitoring service is in place and running. +- Monitoring process check: The telegraf service was found to be running and reporting metrics into InfluxDB. +- Hardware check: IPMI output showed that the system's power status is ON, hardware health is normal, and there are no observed anomalies. +- Telemetry metrics analysis: The host is up and running, and CPU usage is within normal limits. + +## Analysis +Based on the collected metrics, it appears that the alert was a false positive. The host is currently up and running, and its CPU usage is within normal limits. The network connectivity and monitoring process checks also indicated that the host is reachable and the monitoring service is functioning. + +## Recommended Actions +No immediate action is required, as the host is up and running, and the alert appears to be a false positive. However, it is recommended to continue monitoring the host's performance and investigate the cause of the false positive alert to prevent similar incidents in the future. + +## Alert Status +The alert status is "False alarm". + +## Root Cause Category +false_positive + +The alert was categorized as a false positive because all collected metrics indicated the host "test-instance-0.example.com" is up, reachable, and functioning normally, with no signs of hardware or software issues, and the monitoring services are running as expected. +``` diff --git a/examples/alert_triage_agent/configs b/examples/alert_triage_agent/configs new file mode 120000 index 000000000..88b3c5fca --- /dev/null +++ b/examples/alert_triage_agent/configs @@ -0,0 +1 @@ +src/aiq_alert_triage_agent/configs \ No newline at end of file diff --git a/examples/alert_triage_agent/data b/examples/alert_triage_agent/data new file mode 120000 index 000000000..b8a07a117 --- /dev/null +++ b/examples/alert_triage_agent/data @@ -0,0 +1 @@ +src/aiq_alert_triage_agent/data \ No newline at end of file diff --git a/examples/alert_triage_agent/pyproject.toml b/examples/alert_triage_agent/pyproject.toml new file mode 100644 index 000000000..7f14f9169 --- /dev/null +++ b/examples/alert_triage_agent/pyproject.toml @@ -0,0 +1,27 @@ +[build-system] +build-backend = "setuptools.build_meta" +requires = ["setuptools >= 64", "setuptools-scm>=8"] + +[tool.setuptools_scm] +root = "../.." + +[project] +name = "aiq_alert_triage_agent" +dynamic = ["version"] +dependencies = [ + "aiqtoolkit[langchain]", + "langchain-core", # version determined by aiqtoolkit[langchain] + "pandas>=2.0.0", + "ansible-runner>=2.3.0", + "langgraph>=0.0.10", # version determined by aiqtoolkit[langchain] + "flask>=3.0.0" +] +requires-python = ">=3.11,<3.13" +description = "Alert Triage AIQ Toolkit example" +classifiers = ["Programming Language :: Python"] + +[tool.uv.sources] +aiq = { path = "../..", editable = true } + +[project.entry-points.'aiq.components'] +aiq_alert_triage_agent = "aiq_alert_triage_agent.register" diff --git a/examples/alert_triage_agent/src/aiq_alert_triage_agent/__init__.py b/examples/alert_triage_agent/src/aiq_alert_triage_agent/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/examples/alert_triage_agent/src/aiq_alert_triage_agent/categorizer.py b/examples/alert_triage_agent/src/aiq_alert_triage_agent/categorizer.py new file mode 100644 index 000000000..8f7ab26db --- /dev/null +++ b/examples/alert_triage_agent/src/aiq_alert_triage_agent/categorizer.py @@ -0,0 +1,67 @@ +# SPDX-FileCopyrightText: Copyright (c) 2025, NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +from langchain_core.messages import HumanMessage +from langchain_core.prompts import ChatPromptTemplate +from langchain_core.prompts import MessagesPlaceholder +from pydantic import Field + +from aiq.builder.builder import Builder +from aiq.builder.framework_enum import LLMFrameworkEnum +from aiq.builder.function_info import FunctionInfo +from aiq.cli.register_workflow import register_function +from aiq.data_models.component_ref import LLMRef +from aiq.data_models.function import FunctionBaseConfig + +from . import utils +from .prompts import PipelineNodePrompts + + +class CategorizerToolConfig(FunctionBaseConfig, name="categorizer"): + description: str = Field(default="This is a categorization tool used at the end of the pipeline.", + description="Description of the tool.") + llm_name: LLMRef + + +@register_function(config_type=CategorizerToolConfig) +async def categorizer_tool(config: CategorizerToolConfig, builder: Builder): + # Set up LLM and chain + llm = await builder.get_llm(config.llm_name, wrapper_type=LLMFrameworkEnum.LANGCHAIN) + prompt_template = ChatPromptTemplate([("system", PipelineNodePrompts.CATEGORIZER_PROMPT), + MessagesPlaceholder("msgs")]) + categorization_chain = prompt_template | llm + + async def _arun(report: str) -> str: + tool_name = "Root Cause Categorizer" + utils.log_header(tool_name) + + result = await categorization_chain.ainvoke({"msgs": [HumanMessage(content=report)]}) + + # Extract the markdown heading level from first line of report (e.g. '#' or '##') + pound_signs = report.split('\n')[0].split(' ')[0] + + # Format the root cause category section: + # - Add newlines before and after section + # - Use extracted heading level for consistency + # - Add extra newline between category and reasoning for readability + report_section = f"""\n\n{pound_signs} Root Cause Category\n{result.content.replace('\n', '\n\n')}""" + + # Log the result for tracking + utils.logger.debug(result.content) + utils.log_footer() + + return report_section + + yield FunctionInfo.from_fn(_arun, description=config.description) diff --git a/examples/alert_triage_agent/src/aiq_alert_triage_agent/configs/config.yml b/examples/alert_triage_agent/src/aiq_alert_triage_agent/configs/config.yml new file mode 100644 index 000000000..a2d65f8a5 --- /dev/null +++ b/examples/alert_triage_agent/src/aiq_alert_triage_agent/configs/config.yml @@ -0,0 +1,91 @@ +# SPDX-FileCopyrightText: Copyright (c) 2025, NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +general: + use_uvloop: true + +functions: + hardware_check: + _type: hardware_check + llm_name: tool_reasoning_llm + host_performance_check: + _type: host_performance_check + llm_name: tool_reasoning_llm + monitoring_process_check: + _type: monitoring_process_check + llm_name: tool_reasoning_llm + network_connectivity_check: + _type: network_connectivity_check + llm_name: tool_reasoning_llm + telemetry_metrics_host_heartbeat_check: + _type: telemetry_metrics_host_heartbeat_check + llm_name: tool_reasoning_llm + telemetry_metrics_host_performance_check: + _type: telemetry_metrics_host_performance_check + llm_name: tool_reasoning_llm + telemetry_metrics_analysis_agent: + _type: telemetry_metrics_analysis_agent + tool_names: + - telemetry_metrics_host_heartbeat_check + - telemetry_metrics_host_performance_check + llm_name: telemetry_metrics_analysis_agent_llm + maintenance_check: + _type: maintenance_check + llm_name: maintenance_check_llm + categorizer: + _type: categorizer + llm_name: categorizer_llm + +workflow: + _type: alert_triage_agent + tool_names: + - hardware_check + - host_performance_check + - monitoring_process_check + - network_connectivity_check + - telemetry_metrics_analysis_agent + llm_name: ata_agent_llm + +llms: + ata_agent_llm: + _type: nim + model_name: meta/llama-3.3-70b-instruct + temperature: 0.2 + max_tokens: 2048 + + tool_reasoning_llm: + _type: nim + model_name: meta/llama-3.3-70b-instruct + temperature: 0.2 + top_p: 0.7 + max_tokens: 2048 + + telemetry_metrics_analysis_agent_llm: + _type: nim + model_name: meta/llama-3.3-70b-instruct + temperature: 0 + max_tokens: 2048 + + maintenance_check_llm: + _type: nim + model_name: meta/llama-3.3-70b-instruct + temperature: 0 + max_tokens: 2048 + + categorizer_llm: + _type: nim + model_name: meta/llama-3.3-70b-instruct + temperature: 0 + max_tokens: 2048 diff --git a/examples/alert_triage_agent/src/aiq_alert_triage_agent/data/ata_diagram.png b/examples/alert_triage_agent/src/aiq_alert_triage_agent/data/ata_diagram.png new file mode 100644 index 000000000..c4e9dee5d --- /dev/null +++ b/examples/alert_triage_agent/src/aiq_alert_triage_agent/data/ata_diagram.png @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:87968174745b66440bcefd071d7c65109028e1f1a492a3007a7a56b99dbdc0f8 +size 492253 diff --git a/examples/alert_triage_agent/src/aiq_alert_triage_agent/data/benign_fallback_test_data.json b/examples/alert_triage_agent/src/aiq_alert_triage_agent/data/benign_fallback_test_data.json new file mode 100644 index 000000000..157bb0486 --- /dev/null +++ b/examples/alert_triage_agent/src/aiq_alert_triage_agent/data/benign_fallback_test_data.json @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:3b56e271feef1025cc6e6282fdbc027a2190b46ea92098ed9d32a4d890ddfba1 +size 28911 diff --git a/examples/alert_triage_agent/src/aiq_alert_triage_agent/data/maintenance_static_dataset.csv b/examples/alert_triage_agent/src/aiq_alert_triage_agent/data/maintenance_static_dataset.csv new file mode 100644 index 000000000..4d4aea7a9 --- /dev/null +++ b/examples/alert_triage_agent/src/aiq_alert_triage_agent/data/maintenance_static_dataset.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:84046bfde49f36d51d0e181bf37a1edca7f7d39422ec571b8e088996c14aff2c +size 245 diff --git a/examples/alert_triage_agent/src/aiq_alert_triage_agent/data/test_data.csv b/examples/alert_triage_agent/src/aiq_alert_triage_agent/data/test_data.csv new file mode 100644 index 000000000..b25b0d47d --- /dev/null +++ b/examples/alert_triage_agent/src/aiq_alert_triage_agent/data/test_data.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f6dfbe4fcb8b041f040c150e234be090467269762b468cca9fe73af4f88f1897 +size 12922 diff --git a/examples/alert_triage_agent/src/aiq_alert_triage_agent/hardware_check_tool.py b/examples/alert_triage_agent/src/aiq_alert_triage_agent/hardware_check_tool.py new file mode 100644 index 000000000..a0527add6 --- /dev/null +++ b/examples/alert_triage_agent/src/aiq_alert_triage_agent/hardware_check_tool.py @@ -0,0 +1,121 @@ +# SPDX-FileCopyrightText: Copyright (c) 2025, NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import subprocess + +from pydantic import Field + +from aiq.builder.builder import Builder +from aiq.builder.function_info import FunctionInfo +from aiq.cli.register_workflow import register_function +from aiq.data_models.component_ref import LLMRef +from aiq.data_models.function import FunctionBaseConfig + +from . import utils +from .prompts import ToolReasoningLayerPrompts + + +def _get_ipmi_monitor_data(ip_address, username, password): + """ + Capture IPMI monitoring data using the ipmimonitoring command. + + NOTE: This is just an example implementation of hardware status checking using IPMI. + Users should implement their own hardware check commands specific to their environment + and infrastructure setup. The key is to return hardware health/status information in + a format that can be analyzed. + + Args: + ip_address (str): The IP address of the device. + username (str): The user credential for ipmi monitoring. + password (str): The password credential for ipmi monitoring. + + Returns: + str: The command's output if successful, otherwise None. + """ + # Construct the ipmimonitoring command with required parameters + command = ["ipmimonitoring", "-h", ip_address, "-u", username, "-p", password, "--privilege-level=USER"] + + try: + # Execute the ipmimonitoring command and capture output + result = subprocess.run(command, capture_output=True, text=True, check=True) + return result.stdout + + except subprocess.CalledProcessError as e: + # Log error and return None if command fails + utils.logger.error("Error executing IPMI monitoring command. Details: %s", e.stderr) + return None + + +class HardwareCheckToolConfig(FunctionBaseConfig, name="hardware_check"): + description: str = Field( + default=("This tool checks hardware health status using IPMI monitoring to detect power state, " + "hardware degradation, and anomalies that could explain alerts. Args: host_id: str"), + description="Description of the tool for the agent.") + llm_name: LLMRef + + +@register_function(config_type=HardwareCheckToolConfig) +async def hardware_check_tool(config: HardwareCheckToolConfig, builder: Builder): + + async def _arun(host_id: str) -> str: + is_test_mode = utils.is_test_mode() + utils.log_header("Hardware Status Checker") + + try: + if not is_test_mode: + ip = "ipmi_ip" # Replace with your actual IPMI IP address + user = "ipmi_user" # Replace with your actual username + pwd = "ipmi_password" # Replace with your actual password + monitoring_data = _get_ipmi_monitor_data(ip, user, pwd) + else: + # In test mode, load test data from CSV file + df = utils.load_test_data() + + # Get IPMI data from test data, falling back to static data if needed + monitoring_data = utils.load_column_or_static( + df=df, + host_id=host_id, + column="hardware_check_tool:ipmi_output", + ) + + if monitoring_data is not None: + # Additional LLM reasoning layer on playbook output to provide a summary of the results + utils.log_header("LLM Reasoning", dash_length=50) + + prompt = ToolReasoningLayerPrompts.HARDWARE_CHECK.format(input_data=monitoring_data) + + # Get analysis from LLM + conclusion = await utils.llm_ainvoke(config, builder, prompt) + + utils.logger.debug(conclusion) + utils.log_footer() + + return conclusion + + # Handle case where no IPMI data could be retrieved + utils.logger.debug("No hardware data available") + return ("Hardware check failed: Unable to retrieve hardware monitoring data. " + "This could indicate connectivity issues with the IPMI interface, " + "invalid credentials, or that the IPMI service is not responding.") + + except Exception as e: + # Log and re-raise any errors that occur + utils.logger.error("Error during hardware check: %s", str(e)) + raise e + + yield FunctionInfo.from_fn( + _arun, + description=config.description, + ) diff --git a/examples/alert_triage_agent/src/aiq_alert_triage_agent/host_performance_check_tool.py b/examples/alert_triage_agent/src/aiq_alert_triage_agent/host_performance_check_tool.py new file mode 100644 index 000000000..9e1db1e7e --- /dev/null +++ b/examples/alert_triage_agent/src/aiq_alert_triage_agent/host_performance_check_tool.py @@ -0,0 +1,166 @@ +# SPDX-FileCopyrightText: Copyright (c) 2025, NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +from pydantic import Field + +from aiq.builder.builder import Builder +from aiq.builder.function_info import FunctionInfo +from aiq.cli.register_workflow import register_function +from aiq.data_models.component_ref import LLMRef +from aiq.data_models.function import FunctionBaseConfig + +from . import utils +from .playbooks import HOST_PERFORMANCE_CHECK_PLAYBOOK +from .prompts import ToolReasoningLayerPrompts + + +class HostPerformanceCheckToolConfig(FunctionBaseConfig, name="host_performance_check"): + description: str = Field( + default=("This is the Host Performance Check Tool. This tool retrieves CPU usage, memory usage, " + "and hardware I/O usage details for a given host. Args: host_id: str"), + description="Description of the tool for the agent.") + llm_name: LLMRef + + +async def _run_ansible_playbook_for_host_performance_check(config: HostPerformanceCheckToolConfig, + builder: Builder, + ansible_host: str, + ansible_user: str, + ansible_port: int, + ansible_private_key_path: str) -> list[dict]: + """ + This function runs a playbook that gathers CPU, memory, and disk I/O metrics and performs + threshold checks for high resource usage. The playbook executes various system commands + and collects their output for analysis. + + NOTE: The playbook provided is just an example implementation of host performance monitoring. + Users should implement their own playbook specific to their environment and monitoring needs. + The key is to collect performance metrics and threshold data that are relevant for your + infrastructure and use cases. + """ + # NOTE: This is an example playbook - users should customize the playbook + # to collect metrics relevant to their specific monitoring requirements + playbook = HOST_PERFORMANCE_CHECK_PLAYBOOK + + output = await utils.run_ansible_playbook(playbook=playbook, + ansible_host=ansible_host, + ansible_user=ansible_user, + ansible_port=ansible_port, + ansible_private_key_path=ansible_private_key_path) + + # Extract and structure task results + extracted_tasks = [] + for task in output.get("task_results", []): + result = task.get("result", {}) + task_details = { + "task": task.get("task"), + "host": task.get("host"), + "cmd": result.get("cmd"), + "start": result.get("start"), + "end": result.get("end"), + "delta": result.get("delta"), + "stdout_lines": result.get("stdout_lines"), + # Run additional LLM reasoning layer on playbook output to break down the task and improve + # the LLM's understanding of non-natural language system output + "structured_data": await _parse_stdout_lines(config, builder, result.get("stdout_lines")), + } + extracted_tasks.append(task_details) + + return extracted_tasks + + +async def _parse_stdout_lines(config, builder, stdout_lines): + """ + Parses the stdout_lines output using nvda_nim to extract structured JSON data. + + Args: + stdout_lines (list of str): List of output lines from the ansible task. + + Returns: + str: Structured data parsed from the output in string format. + """ + # Join the list of lines into a single text block + input_data = "\n".join(stdout_lines) if stdout_lines else "" + + prompt = ToolReasoningLayerPrompts.HOST_PERFORMANCE_CHECK_PARSING.format(input_data=input_data) + + response = None + try: + response = await utils.llm_ainvoke(config, builder, user_prompt=prompt) + structured_data = response + except Exception as e: + structured_data = ('{{"error": "Failed to parse nvda_nim response", ' + '"exception": "{}", "raw_response": "{}"}}').format(str(e), response) + return structured_data + + +@register_function(config_type=HostPerformanceCheckToolConfig) +async def host_performance_check_tool(config: HostPerformanceCheckToolConfig, builder: Builder): + + async def _arun(host_id: str) -> str: + is_test_mode = utils.is_test_mode() + utils.log_header("Host Performance Analyzer") + + try: + if not is_test_mode: + # In production mode, use actual Ansible connection details + # Replace placeholder values with connection info from configuration + ansible_host = "your.host.example.name" # Input your target host + ansible_user = "ansible_user" # Input your SSH user + ansible_port = 22 # Input your SSH port + ansible_private_key_path = "/path/to/private/key" # Input path to your SSH key + + # Run Ansible playbook to collect performance metrics + output = await _run_ansible_playbook_for_host_performance_check( + config=config, + builder=builder, + ansible_host=ansible_host, + ansible_user=ansible_user, + ansible_port=ansible_port, + ansible_private_key_path=ansible_private_key_path) + else: + # In test mode, load performance data from test dataset + df = utils.load_test_data() + + # Get CPU metrics from test data, falling back to static data if needed + data_top_cpu = utils.load_column_or_static(df=df, + host_id=host_id, + column="host_performance_check_tool:top_output") + data_ps_cpu = utils.load_column_or_static(df=df, + host_id=host_id, + column="host_performance_check_tool:ps_output") + + output = f"`top` :{data_top_cpu} and `ps` :{data_ps_cpu}" + + # Additional LLM reasoning layer on playbook output to provide a summary of the results + utils.log_header("LLM Reasoning", dash_length=50) + + prompt_template = ToolReasoningLayerPrompts.HOST_PERFORMANCE_CHECK_ANALYSIS.format(input_data=output) + + conclusion = await utils.llm_ainvoke(config, builder, user_prompt=prompt_template) + + utils.logger.debug(conclusion) + utils.log_footer() + + return conclusion + + except Exception as e: + utils.logger.error("Error during host performance check: %s", str(e)) + raise e + + yield FunctionInfo.from_fn( + _arun, + description=config.description, + ) diff --git a/examples/alert_triage_agent/src/aiq_alert_triage_agent/maintenance_check.py b/examples/alert_triage_agent/src/aiq_alert_triage_agent/maintenance_check.py new file mode 100644 index 000000000..64de5e95f --- /dev/null +++ b/examples/alert_triage_agent/src/aiq_alert_triage_agent/maintenance_check.py @@ -0,0 +1,250 @@ +# SPDX-FileCopyrightText: Copyright (c) 2025, NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import json +import os +from datetime import datetime + +import pandas as pd +from langchain_core.messages import HumanMessage +from langchain_core.prompts import ChatPromptTemplate +from langchain_core.prompts import MessagesPlaceholder +from pydantic import Field + +from aiq.builder.builder import Builder +from aiq.builder.framework_enum import LLMFrameworkEnum +from aiq.builder.function_info import FunctionInfo +from aiq.cli.register_workflow import register_function +from aiq.data_models.component_ref import LLMRef +from aiq.data_models.function import FunctionBaseConfig + +from . import utils +from .prompts import PipelineNodePrompts + +NO_ONGOING_MAINTENANCE_STR = "No ongoing maintenance found for the host." + + +class MaintenanceCheckToolConfig(FunctionBaseConfig, name="maintenance_check"): + description: str = Field( + default=("Check if a host is under maintenance during the time of an alert to help determine " + "if the alert can be deprioritized."), + description="Description of the tool for the agent.") + llm_name: LLMRef + + +def _load_maintenance_data(path: str) -> pd.DataFrame: + """ + Load maintenance window data from a CSV file into a pandas DataFrame. + + NOTE: This is an example implementation using a CSV file to demonstrate the maintenance + check functionality. In a production environment, users should modify this function to + integrate with their organization's maintenance tracking system or database. + + The input CSV must contain these columns: + - host_id (str): Hostname or identifier of the system under maintenance. + - maintenance_start (str): Start timestamp of the maintenance window + in "YYYY-MM-DD HH:MM:SS" format. + - maintenance_end (str): End timestamp of the maintenance window + in "YYYY-MM-DD HH:MM:SS" format. This column must be present in the + CSV but may contain empty values; empty or invalid entries will be + coerced to NaT to indicate ongoing maintenance. + + Parameters: + path (str): File path to the CSV containing maintenance data. + + Returns: + pd.DataFrame: The loaded data with + - maintenance_start (datetime64[ns]) + - maintenance_end (datetime64[ns]) + Columns converted to datetime, with parsing errors coerced to NaT. + + Raises: + ValueError: If any required column (host_id, maintenance_start, maintenance_end) is missing. + """ + df = pd.read_csv(path) + + # Verify required columns + required = {"host_id", "maintenance_start", "maintenance_end"} + missing = required - set(df.columns) + if missing: + utils.logger.error("Missing required columns: %s", ", ".join(missing)) + raise ValueError(f"Missing required columns: {', '.join(missing)}") + + df["maintenance_start"] = pd.to_datetime(df["maintenance_start"], errors="coerce") + df["maintenance_end"] = pd.to_datetime(df["maintenance_end"], errors="coerce") + + return df + + +def _parse_alert_data(input_message: str) -> dict | None: + """ + Parse alert data from an input message containing JSON into a dictionary. + + Note: This function assumes the input message contains exactly one JSON object (the alert) + with potential extra text before and/or after the JSON. + + Args: + input_message (str): Input message containing JSON alert data + + Returns: + dict | None: The parsed alert data as a dictionary containing alert details, + or None if parsing fails + + Raises: + ValueError: If no JSON object is found in the input message + json.JSONDecodeError: If the JSON parsing fails + """ + # Extract everything between first { and last } + start = input_message.find("{") + end = input_message.rfind("}") + 1 + if start == -1 or end == 0: + raise ValueError("No JSON object found in input message") + alert_json_str = input_message[start:end] + try: + return json.loads(alert_json_str.replace("'", '"')) + except Exception as e: + utils.logger.error("Failed to parse alert from input message: %s", e) + return None + + +def _get_active_maintenance(df: pd.DataFrame, host_id: str, alert_time: datetime) -> tuple[str, str] | None: + """ + Find the active maintenance record for a given host at a specific time. + + Parameters: + df (pd.DataFrame): DataFrame containing maintenance records with columns: + - host_id (str): Hostname or identifier of the system + - maintenance_start (datetime64[ns]): Start timestamp of maintenance window + - maintenance_end (datetime64[ns]): End timestamp of maintenance window (NaT if ongoing) + host_id (str): Host identifier to check for maintenance + alert_time (datetime): Timestamp to check for active maintenance + + Returns: + tuple[str, str] | None: If maintenance is active, returns a tuple containing: + - maintenance_start (str): Start time in "YYYY-MM-DD HH:MM:SS" format + - maintenance_end (str): End time in "YYYY-MM-DD HH:MM:SS" format, or empty string if ongoing + Returns None if no maintenance is active for the host at alert_time. + """ + # Filter for records that match either host_id + host_maintenance = df[(df["host_id"] == host_id)] + + # Check if alert_time falls within maintenance period or if maintenance_end is NaN (ongoing) + ongoing = host_maintenance[(host_maintenance["maintenance_start"] <= alert_time) + & ((host_maintenance["maintenance_end"].isna()) + | (host_maintenance["maintenance_end"] > alert_time))] + + if ongoing.empty: + return None + + # Get the first ongoing maintenance record + active_maintenance = ongoing.iloc[0] + + # Convert to formatted string + timestamp_format = "%Y-%m-%d %H:%M:%S" + start_time_str = active_maintenance["maintenance_start"].strftime(timestamp_format) + end_time_str = (active_maintenance["maintenance_end"].strftime(timestamp_format) + if pd.notna(active_maintenance["maintenance_end"]) else "") + + return start_time_str, end_time_str + + +def _summarize_alert(llm, alert, maintenance_start_str, maintenance_end_str): + """ + Generate a summary report for an alert when the affected host is under maintenance. + + Args: + llm: The language model to use for generating the summary + alert (dict): Dictionary containing the alert details + maintenance_start_str (str): Start time of maintenance window in "YYYY-MM-DD HH:MM:SS" format + maintenance_end_str (str): End time of maintenance window in "YYYY-MM-DD HH:MM:SS" format, + or empty string if maintenance is ongoing + + Returns: + str: A markdown-formatted report summarizing the alert and maintenance status + """ + sys_prompt = PipelineNodePrompts.MAINTENANCE_CHECK_PROMPT.format(maintenance_start_str=maintenance_start_str, + maintenance_end_str=maintenance_end_str) + prompt_template = ChatPromptTemplate([("system", sys_prompt), MessagesPlaceholder("msgs")]) + summarization_chain = prompt_template | llm + alert_json_str = json.dumps(alert) + result = summarization_chain.invoke({"msgs": [HumanMessage(content=alert_json_str)]}).content + return result + + +@register_function(config_type=MaintenanceCheckToolConfig) +async def maintenance_check(config: MaintenanceCheckToolConfig, builder: Builder): + # Set up LLM + llm = await builder.get_llm(config.llm_name, wrapper_type=LLMFrameworkEnum.LANGCHAIN) + + async def _arun(input_message: str) -> str: + # NOTE: This is just an example implementation of maintenance status checking using a CSV file. + # Users should implement their own maintenance check logic specific to their environment + # and infrastructure setup. The key is to check if a host is under maintenance during + # the time of an alert, to help determine if the alert can be deprioritized. + + utils.log_header("Maintenance Checker") + + maintenance_data_path = os.getenv("MAINTENANCE_STATIC_DATA_PATH") + if not maintenance_data_path: + utils.logger.info("No maintenance data path provided, skipping maintenance check") + return NO_ONGOING_MAINTENANCE_STR # the triage agent will run as usual + + filepath = os.path.join(os.path.abspath(os.path.dirname(__file__)), maintenance_data_path) + if not os.path.exists(filepath): + utils.logger.info("Maintenance data file does not exist: %s. Skipping maintenance check.", filepath) + return NO_ONGOING_MAINTENANCE_STR # the triage agent will run as usual + + maintenance_df = _load_maintenance_data(filepath) + + alert = _parse_alert_data(input_message) + if alert is None: + utils.logger.info("Failed to parse alert from input message, skipping maintenance check") + return NO_ONGOING_MAINTENANCE_STR + + host = alert.get("host_id") + alert_time_str = alert.get("timestamp") + if not (alert and host and alert_time_str): + utils.logger.info( + "Failed to parse alert or the host or alert time from input message, skipping maintenance check") + return NO_ONGOING_MAINTENANCE_STR + + try: + alert_time = datetime.strptime(alert_time_str, "%Y-%m-%dT%H:%M:%S.%f") + except ValueError as e: + utils.logger.error("Failed to parse alert time from input message: %s, skipping maintenance check", e) + return NO_ONGOING_MAINTENANCE_STR + + maintenance_info = _get_active_maintenance(maintenance_df, host, alert_time) + if not maintenance_info: + utils.logger.info("Host: [%s] is NOT under maintenance according to the maintenance database", host) + return NO_ONGOING_MAINTENANCE_STR + + try: + maintenance_start_str, maintenance_end_str = maintenance_info + except ValueError: + utils.logger.error( + "Failed to parse maintenance info into start and end times: %s, skipping maintenance check", + maintenance_info) + return NO_ONGOING_MAINTENANCE_STR + + # maintenance info found, summarize alert and return a report (agent execution will be skipped) + utils.logger.info("Host: [%s] is under maintenance according to the maintenance database", host) + + report = _summarize_alert(llm, alert, maintenance_start_str, maintenance_end_str) + + utils.log_footer() + return report + + yield FunctionInfo.from_fn(_arun, description=config.description) diff --git a/examples/alert_triage_agent/src/aiq_alert_triage_agent/monitoring_process_check_tool.py b/examples/alert_triage_agent/src/aiq_alert_triage_agent/monitoring_process_check_tool.py new file mode 100644 index 000000000..a83030974 --- /dev/null +++ b/examples/alert_triage_agent/src/aiq_alert_triage_agent/monitoring_process_check_tool.py @@ -0,0 +1,124 @@ +# SPDX-FileCopyrightText: Copyright (c) 2025, NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +from pydantic import Field + +from aiq.builder.builder import Builder +from aiq.builder.function_info import FunctionInfo +from aiq.cli.register_workflow import register_function +from aiq.data_models.component_ref import LLMRef +from aiq.data_models.function import FunctionBaseConfig + +from . import utils +from .playbooks import MONITOR_PROCESS_CHECK_PLAYBOOK +from .prompts import ToolReasoningLayerPrompts + + +class MonitoringProcessCheckToolConfig(FunctionBaseConfig, name="monitoring_process_check"): + description: str = Field(default=("This tool checks the status of critical monitoring processes and services " + "on a target host by executing system commands. Args: host_id: str"), + description="Description of the tool for the agent.") + llm_name: LLMRef + + +async def _run_ansible_playbook_for_monitor_process_check(ansible_host: str, + ansible_user: str, + ansible_port: int, + ansible_private_key_path: str) -> list[dict]: + """ + This function runs a playbook that checks the status of critical monitoring processes + on the target host. The playbook executes system commands to gather process information + and service status. + + NOTE: The playbook provided is an example implementation. Users should customize the + playbook to check processes specific to their monitoring infrastructure. + """ + output = await utils.run_ansible_playbook(playbook=MONITOR_PROCESS_CHECK_PLAYBOOK, + ansible_host=ansible_host, + ansible_user=ansible_user, + ansible_port=ansible_port, + ansible_private_key_path=ansible_private_key_path) + + extracted_tasks = [] + # Iterate over task_results if available; otherwise use an empty list. + for task in output.get("task_results", []): + result = task.get("result", {}) + task_details = { + "task": task.get("task"), + "host": task.get("host"), + "cmd": result.get("cmd"), + "stdout_lines": result.get("stdout_lines"), + } + extracted_tasks.append(task_details) + + return extracted_tasks + + +@register_function(config_type=MonitoringProcessCheckToolConfig) +async def monitoring_process_check_tool(config: MonitoringProcessCheckToolConfig, builder: Builder): + + async def _arun(host_id: str) -> str: + is_test_mode = utils.is_test_mode() + + try: + if not is_test_mode: + # In production mode, use actual Ansible connection details + # Replace placeholder values with connection info from configuration + ansible_host = "your.host.example.name" # Input your target host + ansible_user = "ansible_user" # Input your SSH user + ansible_port = 22 # Input your SSH port + ansible_private_key_path = "/path/to/private/key" # Input path to your SSH key + + output = await _run_ansible_playbook_for_monitor_process_check( + ansible_host=ansible_host, + ansible_user=ansible_user, + ansible_port=ansible_port, + ansible_private_key_path=ansible_private_key_path) + output_for_prompt = f"`ps` and `top` result:{output}" + else: + # In test mode, load performance data from test dataset + df = utils.load_test_data() + + # Load process status data from ps command output + ps_data = utils.load_column_or_static(df=df, + host_id=host_id, + column="monitor_process_check_tool:ps_output") + # Load systemd service status data from systemctl command output + systemctl_data = utils.load_column_or_static(df=df, + host_id=host_id, + column="monitor_process_check_tool:systemctl_output") + + output_for_prompt = f"`ps` result:{ps_data} and `systemctl` result:{systemctl_data}" + + # Additional LLM reasoning layer on playbook output to provide a summary of the results + utils.log_header("LLM Reasoning", dash_length=50) + + prompt = ToolReasoningLayerPrompts.MONITORING_PROCESS_CHECK.format(input_data=output_for_prompt) + + conclusion = await utils.llm_ainvoke(config, builder, prompt) + + utils.log_header("LLM Reasoning", dash_length=50) + utils.logger.debug(conclusion) + utils.log_footer() + return conclusion + + except Exception as e: + utils.logger.error("Error during monitoring process check: %s", str(e)) + raise e + + yield FunctionInfo.from_fn( + _arun, + description=config.description, + ) diff --git a/examples/alert_triage_agent/src/aiq_alert_triage_agent/network_connectivity_check_tool.py b/examples/alert_triage_agent/src/aiq_alert_triage_agent/network_connectivity_check_tool.py new file mode 100644 index 000000000..d52385999 --- /dev/null +++ b/examples/alert_triage_agent/src/aiq_alert_triage_agent/network_connectivity_check_tool.py @@ -0,0 +1,123 @@ +# SPDX-FileCopyrightText: Copyright (c) 2025, NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import socket +import subprocess + +from pydantic import Field + +from aiq.builder.builder import Builder +from aiq.builder.function_info import FunctionInfo +from aiq.cli.register_workflow import register_function +from aiq.data_models.component_ref import LLMRef +from aiq.data_models.function import FunctionBaseConfig + +from . import utils +from .prompts import ToolReasoningLayerPrompts + + +def _check_service_banner(host: str, port: int = 80, connect_timeout: float = 10, read_timeout: float = 10) -> str: + """ + Connects to host:port, reads until the Telnet banner (‘Escape character is '^]'.’) or times out. + Returns whatever was read (decoded to utf‑8), or an empty string on failure/timeout. + """ + pattern = b"Escape character is '^]'." + buffer = b'' + try: + # 1) Open the TCP connection (replaces telnetlib.Telnet) + with socket.create_connection((host, port), timeout=connect_timeout) as sock: + # 2) Set a timeout on subsequent reads + sock.settimeout(read_timeout) + + # 3) Keep reading until we see the banner or EOF + while pattern not in buffer: + chunk = sock.recv(1024) + if not chunk: + break + buffer += chunk + + # 4) Decode what we got (ignore any non‑UTF8 bytes) + return buffer.decode('utf-8', errors='ignore') + + except (socket.timeout, ConnectionRefusedError, OSError): + # timed out or could not connect + return '' + + +class NetworkConnectivityCheckToolConfig(FunctionBaseConfig, name="network_connectivity_check"): + description: str = Field( + default=("This tool checks network connectivity of a host by running ping and socket connection tests. " + "Args: host_id: str"), + description="Description of the tool for the agent.") + llm_name: LLMRef + + +@register_function(config_type=NetworkConnectivityCheckToolConfig) +async def network_connectivity_check_tool(config: NetworkConnectivityCheckToolConfig, builder: Builder): + + async def _arun(host_id: str) -> str: + is_test_mode = utils.is_test_mode() + utils.log_header("Network Connectivity Tester") + + try: + if not is_test_mode: + # NOTE: The ping and telnet commands below are example implementations of network connectivity checking. + # Users should implement their own network connectivity check logic specific to their environment + # and infrastructure setup. + + # Example ping command to test basic connectivity + result = subprocess.run(["ping", "-c", "3", host_id], capture_output=True, text=True, check=False) + + if result.returncode == 0: + ping_data = result.stdout + else: + ping_data = result.stderr + + # Example telnet command to test service availability + telnet_port = 80 # example port + telnet_data = _check_service_banner(host_id, port=telnet_port, connect_timeout=10, read_timeout=10) + + else: + # Load test data + df = utils.load_test_data() + + # Get ping data from test data, falling back to static data if needed + ping_data = utils.load_column_or_static(df=df, + host_id=host_id, + column="network_connectivity_check_tool:ping_output") + + # Get telnet data from test data, falling back to static data if needed + telnet_data = utils.load_column_or_static(df=df, + host_id=host_id, + column="network_connectivity_check_tool:telnet_output") + + # Additional LLM reasoning layer on playbook output to provide a summary of the results + utils.log_header("LLM Reasoning", dash_length=50) + + prompt = ToolReasoningLayerPrompts.NETWORK_CONNECTIVITY_CHECK.format(ping_data=ping_data, + telnet_data=telnet_data) + conclusion = await utils.llm_ainvoke(config, builder, prompt) + + utils.logger.debug(conclusion) + utils.log_footer() + return conclusion + except Exception as e: + utils.logger.error("Error during connectivity check: %s", str(e)) + raise e + + yield FunctionInfo.from_fn( + _arun, + description=config.description, + ) diff --git a/examples/alert_triage_agent/src/aiq_alert_triage_agent/playbooks.py b/examples/alert_triage_agent/src/aiq_alert_triage_agent/playbooks.py new file mode 100644 index 000000000..60ae0e9ad --- /dev/null +++ b/examples/alert_triage_agent/src/aiq_alert_triage_agent/playbooks.py @@ -0,0 +1,182 @@ +# SPDX-FileCopyrightText: Copyright (c) 2025, NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +# Example playbook to monitor host performance metrics including CPU, memory and disk I/O +# This playbook runs commands to collect system performance data and check for threshold violations +# NOTE: This is just an example implementation of Linux monitoring commands. +# Users should implement their own monitoring commands specific to their environment and +# infrastructure setup. +HOST_PERFORMANCE_CHECK_PLAYBOOK = [{ + "name": + "Monitor system performance", + "hosts": + "all", + "tasks": [ + # CPU usage collection + { + "name": "Collect CPU usage data", + "ansible.builtin.shell": { + "cmd": "mpstat -P ALL 1 1" + }, + "register": "cpu_usage", + }, + { + "name": "CPU usage data", "debug": { + "msg": "{{ cpu_usage.stdout }}" + } + }, + + # Memory usage collection + { + "name": "Collect memory usage data", + "ansible.builtin.shell": { + "cmd": "free -m" + }, + "register": "memory_usage", + }, + { + "name": "memory usage data", "debug": { + "msg": "{{ memory_usage.stdout }}" + } + }, + + # Disk I/O collection + { + "name": "Collect disk I/O statistics", + "ansible.builtin.shell": { + "cmd": "iostat -dx" + }, + "register": "disk_io_stats", + }, + { + "name": "disk I/O statistics", "debug": { + "msg": "{{ disk_io_stats.stdout }}" + } + }, + + # High CPU usage check (threshold: 80%) + { + "name": "Check for high CPU usage", + "ansible.builtin.shell": { + "cmd": "mpstat 1 1 | awk '/Average/ && $NF > 80 {exit 1}'" + }, + "register": "cpu_check", + "failed_when": "cpu_check.rc == 1", + "ignore_errors": True, + }, + { + "name": "CPU usage check", "debug": { + "msg": "{{ cpu_check.stdout }}" + } + }, + + # High memory usage check (threshold: 80%) + { + "name": "Check for high memory usage", + "ansible.builtin.shell": { + "cmd": "free -m | awk '/Mem:/ {if ($3/$2 * 100.0 > 80.0) exit 1}'" + }, + "register": "memory_check", + "failed_when": "memory_check.rc == 1", + "ignore_errors": True, + }, + { + "name": "memory usage check", "debug": { + "msg": "{{ memory_check.stdout }}" + } + }, + + # High disk I/O wait check (threshold: 10%) + { + "name": "Check for high disk I/O wait", + "ansible.builtin.shell": { + "cmd": "iostat -dx 1 1 | awk '/^Device:/ {getline; if ($10 > 10.0) exit 1}'" + }, + "register": "disk_io_check", + "failed_when": "disk_io_check.rc == 1", + "ignore_errors": True, + }, + { + "name": "disk I/O wait check", "debug": { + "msg": "{{ disk_io_check.stdout }}" + } + }, + + # Alert notifications for threshold violations + { + "name": "Notify admin of high CPU usage", + "ansible.builtin.debug": { + "msg": "High CPU usage detected on {{ instance_name }}" + }, + "when": "cpu_check.rc == 1", + }, + { + "name": "Notify admin of high CPU usage", "debug": { + "msg": "{{ cpu_check.stdout }}" + } + }, + { + "name": "Notify admin of high memory usage", + "ansible.builtin.debug": { + "msg": "High memory usage detected on {{ instance_name }}" + }, + "when": "memory_check.rc == 1", + }, + { + "name": "Notify admin of high disk I/O wait", + "ansible.builtin.debug": { + "msg": "High disk I/O wait detected on {{ instance_name }}" + }, + "when": "disk_io_check.rc == 1", + }, + ], +}] + +# Example playbook to check critical service status on a host +# This playbook runs commands to verify if key services related to alert monitoring are running properly +# NOTE: In this example, we check the Telegraf service, but users should modify the commands to check +# whatever services are critical for monitoring and alerting in their environment +MONITOR_PROCESS_CHECK_PLAYBOOK = [{ + "name": + "Monitor Telegraf process", # Playbook name + "hosts": + "all", + "tasks": [ + { + "name": "ps telegraf process", # Task to check if Telegraf process is running + "ansible.builtin.shell": { + "cmd": "ps -ef | grep telegraf" + }, # List processes and filter for telegraf + "register": "ps_usage", # Store output in ps_usage variable + }, + { + "name": "ps telegraf process", "debug": { + "msg": "{{ ps_usage.stdout }}" + } + }, # Print process list output + { + "name": "systemctl status telegraf", # Task to check Telegraf service status + "ansible.builtin.shell": { + "cmd": "systemctl status telegraf" + }, # Get service status from systemd + "register": "systemctl_usage", # Store output in systemctl_usage variable + }, + { + "name": "systemctl status telegraf", "debug": { + "msg": "{{ systemctl_usage.stdout }}" + } + }, # Print service status + ], +}] diff --git a/examples/alert_triage_agent/src/aiq_alert_triage_agent/prompts.py b/examples/alert_triage_agent/src/aiq_alert_triage_agent/prompts.py new file mode 100644 index 000000000..99800c1fa --- /dev/null +++ b/examples/alert_triage_agent/src/aiq_alert_triage_agent/prompts.py @@ -0,0 +1,247 @@ +# SPDX-FileCopyrightText: Copyright (c) 2025, NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +# flake8: noqa: E501 +# pylint: disable=line-too-long + +ALERT_TRIAGE_AGENT_PROMPT = """**Role** +You are a Triage Agent responsible for diagnosing and troubleshooting system alerts in real time. Your goal is to determine whether an alert indicates a true issue, identify the root cause, and provide a clear, structured triage report to assist system analysts. + + +**Instructions** + +1. **Analyze the Alert** + Begin by interpreting the incoming alert. Identify its type (e.g., *InstanceDown*, *HighCPUUsage*) and note any relevant details. + +2. **Select and Use Diagnostic Tools** + Based on the alert type, choose the most relevant tools to gather system metrics. Use each tool only once per alert. + + - `hardware_check`: Retrieves server power status and hardware health via IPMI. Useful for diagnosing instance down alerts or suspected hardware failures. + - `host_performance_check`: Collects system-level CPU and memory usage using commands like `top` and `ps`. Use this to identify host's resource (CPR and memory) usage bottlenecks. + - `monitoring_process_check`: Checks whether critical processes are running on the host. Useful for verifying system functionality during instance down or degraded performance. + - `network_connectivity_check`: Tests host connectivity through ping, telnet, and HTTP health checks. Helps determine if the server is reachable from the network. + - `telemetry_metrics_analysis_agent`: Pulls Prometheus metrics to check host status and analyze usage trends. Effective for validating instance uptime and system load over time. + + Once you've received outputs from all selected tools, **pause to analyze them before proceeding further**. + +3. **Correlate Data and Determine Root Cause** + - Evaluate the retrieved metrics against the alert details. + - Determine if the alert reflects a real problem or is a false positive. + - If an issue is detected, identify likely causes—such as hardware failure, performance bottlenecks, or network issues. + +4. **Generate a Structured Triage Report (in Markdown format)** + Organize your findings clearly under these sections: + + - **Alert Summary**: Brief description of the alert received. + - **Collected Metrics**: Outputs from the diagnostic tools used. + - **Analysis**: Interpretation of the data and how it relates to the alert. + - **Recommended Actions**: Suggested next steps to mitigate or resolve the issue. + - **Alert Status**: Choose one — "Valid", "Abnormal but benign", or "False alarm". + + +**Important Rules** +- Do not call the same tool more than once per alert. +- Analyze tool outputs before taking any additional action. +- Stay concise, structured, and actionable.""" + + +class PipelineNodePrompts: + CATEGORIZER_PROMPT = """You will be given a system-generated alert triage report. Your job is to read the report carefully and determine the most likely root cause of the issue. Then, categorize the root cause into one of the following predefined categories: + +**Valid Categories** +- `software`: The alert was triggered due to a malfunctioning or inactive monitoring service (e.g., Telegraf not running). +- `network_connectivity`: The host is not reachable via ping or curl, or there are signs of connection issues due to blocked ports, broken services, or firewall rules (e.g., telnet fails). +- `hardware`: The alert is caused by a hardware failure or degradation. +- `repetitive_behavior`: The alert is triggered by a recurring or periodic behavior pattern (e.g., regular CPU spikes or memory surges). +- `false_positive`: No clear signs of failure or degradation; system appears healthy and no suspicious pattern is found. +- `need_investigation`: The report contains conflicting, ambiguous, or insufficient information to determine a clear root cause. + +**Response Format** +- Line 1: Output only the category name (e.g., `hardware`) +- Line 2: Briefly explain your reasoning based on the contents of the report. +- Example response: +network_connectivity +Ping and curl to the host both failed, and telnet to the monitored port timed out, indicating a likely connectivity or firewall issue. + +**Important Guidelines** +- Base your categorization only on evidence presented in the report. +- If no category clearly fits, default to `need_investigation`.""" + + MAINTENANCE_CHECK_PROMPT = """User will provide you with a system alert represented in JSON format. You know for a fact that there is maintenance happening for the host. Maintenance start time for this host is : [{maintenance_start_str}]; end time is: [{maintenance_end_str}] (end time empty means that there is not yet a set end time for the maintenance on the host) +Generate a markdown report in the following format: + +## Alert Summary +(summary of what happened in the alert JSON data) + +## Collected Metrics +(lay out the maintenance information) + +## Analysis +(Describe the maintenance status of this host) + +## Recommended Actions +(Bullet point list: write how the user may not need to worry about this alert given that the host is under maintenance, and they could check if the issue persists afterward) + +## Alert Status +(can deprioritize the investigation of the alert, host under maintenance)""" + + +class ToolReasoningLayerPrompts: + NETWORK_CONNECTIVITY_CHECK = """You are assisting with alert triage by checking the network connectivity status of a host. Use the outputs from `ping` and `telnet` commands to determine whether the host is reachable. If connectivity issues are detected, analyze the possible root causes and provide a structured summary of your findings. + +Instructions: +1. Interpret the `ping` and `telnet` results to assess host reachability. +2. Determine whether there is a connectivity issue. +3. Identify potential causes, such as network failure, firewall restrictions, or service unavailability. +4. Recommend appropriate next steps for troubleshooting or escalation. + +Format your response as a structured summary: + +Ping Status: Successful / Failed +Telnet Status: Connected / Failed +Potential Cause of Connectivity Issue: [e.g., network failure, firewall rules, service outage, no issue] +Next Steps: [e.g., check network logs, restart network services, escalate issue, or no action needed] + +Ping Output: +{ping_data} + +Telnet Output: +{telnet_data}""" + + MONITORING_PROCESS_CHECK = """You are checking whether the telegraf service is running on the server. Use the monitoring output below to verify its status. If it’s not running, identify possible reasons and assess the impact. + +Instructions: +1. Check if the telegraf process is present and active. +2. Evaluate the potential impact of telegraf not running on system availability or monitoring. +3. Identify likely causes for the process not running. + +Format your response as a structured summary: +* **Telegraf Running:** Yes / No +* **Potential Impact:** [e.g., host seems down to the monitoring system, delayed alerting] +* **Possible Cause:** [e.g., process crash, misconfiguration, resource constraints] +* **Next Steps:** [e.g., restart telegraf, check logs] + +Monitoring Output: +{input_data}""" + + HOST_PERFORMANCE_CHECK_PARSING = """You are given system performance data captured from a host. Your task is to extract and organize the information into a clean, structured JSON format. The input contains system details and performance metrics, such as CPU, memory, and disk I/O. + +Follow these instructions: + +1. Identify metric categories dynamically based on the line prefixes or column headers (e.g., "Mem:", "Swap:", "CPU:", "Device:"). +2. For each category, extract the numerical values and map them to meaningful field names. +3. Group related fields under sections such as "memory_usage", "swap_usage", "cpu_usage", "disk_io", etc. +4. Use consistent, readable key names for all fields. +5. Return **only** the final JSON object — no explanations or extra text. + +Here is the input data: +{input_data}""" + + HOST_PERFORMANCE_CHECK_ANALYSIS = """You are analyzing system metrics to assess CPU and memory usage. Use the output below to determine whether CPU or memory usage is abnormally high, identify which processes are consuming the most resources, and assess whether the usage patterns could explain a recent alert. + +Instructions: +1. Evaluate overall CPU and memory usage levels. +2. List the top resource-consuming processes, including their name, PID, %CPU, and %MEM. +3. Identify any potential causes of high usage (e.g., memory leak, runaway process, legitimate high load). +4. Recommend possible next steps for investigation or mitigation. + +Format your response as a structured summary: + +CPU Usage: Normal / High (X% usage) +Memory Usage: Normal / High (X% usage) +Top Resource-Consuming Processes: [Process name, PID, %CPU, %MEM] +Potential Cause of High Usage: [e.g., runaway process, heavy load, memory leak] +Next Steps: [Suggested mitigation actions] + +System Metrics Output: +{input_data} +""" + + HARDWARE_CHECK = """You are analyzing IPMI metrics to support host monitoring and alert triage. Use the provided IPMI output to assess overall system status. Your goals are to: + +1. Determine the system's current power state. +2. Identify any signs of hardware degradation or failure. +3. Flag any anomalies that could explain why a monitoring alert was triggered. + +Review the data carefully and summarize your assessment in a clear and structured format. + +IPMI Output: +{input_data} + +Format your response as follows: + +Power Status: ON / OFF +Hardware Health: Normal / Issues Detected +Observed Anomalies: [List any irregularities or warning signs] +Possible Cause of Alert: [e.g., hardware issue, thermal spike, power fluctuation, no clear issue] +Next Steps: [Recommended actions or checks for further triage]""" + + +class TelemetryMetricsAnalysisPrompts: + AGENT = """You arg a helpful alert triage assistant. Your task is to investigate an alert that was just triggered on a specific host. You will be given two inputs: +- `host_id`: the identifier of the host where the alert occurred. +- `alert_type`: the type of alert that triggered. + +Use the tools provided below to collect relevant telemetry data for the specified host: + +Tools: +- `telemetry_metrics_host_heartbeat_check`: Use this to check the server's heartbeat and determine if the host is currently up and responsive. +- `telemetry_metrics_host_performance_check`: Use this to analyze CPU usage trends over the past 14 days and identify abnormal patterns. + +Instructions: +1. Run the appropriate tools based on the host and alert type. +2. Collect and include all relevant output from the tools in your response. +3. Analyze the data and provide reasoning to help determine whether the telemetry supports or explains the triggered alert. + +Your response should include: +- Raw data from each tool +- A concise summary of findings +- Any insights or hypotheses that explain the alert""" + + HOST_HEARTBEAT_CHECK = """The following is the telemetry metrics fetched for the host to see if it's been up and running (if result is empty, then the monitoring service on the host is down): +{data} +Based on the data, summarize the fetched data and provide a conclusion of the host's running status.""" + + HOST_PERFORMANCE_CHECK = """You are an expert on analyzing CPU usage timeseries. Periodic usage peaks are expected benign system behavior. +User will provide data in the format of a list of lists, where each sublist contains two elements: timestamp and CPU usage percentage. User will also provide statistics on the timeseries. Write a markdown report about what was observed in the timeseries. + +Example format: +# CPU Usage Analysis Report +The data analysis is performed on 14 days of CPU usage percentage data. + +## Data Statistics +data start and end time, data point interval, CPU usage statistics + +## Observations +any patterns observed? Should be one of the below cases: +- Are there any cyclic usage surges? + - What is the cycle? + - What is the high and low CPU usage of the pattern? +- Is there one anomalous peak? + - When did it happen? + - What is it like before and after? +- No obvious pattern? A mix of patterns? => it's normal flutuation of the system (max usage less than 60%) + - What is the fluctuation range? + +## Conclusion +Summarize the observation. +Categories: +- peak in the data means the high CPU usage is an anomaly and requires attention +- periodic behvior means the high usage is benign +- overall moderate (max usage less than 60%) usage means no issue in the system + +## Pattern Label +Anomalous Peak/Periodic Surges/Normal Fluctuations +""" diff --git a/examples/alert_triage_agent/src/aiq_alert_triage_agent/register.py b/examples/alert_triage_agent/src/aiq_alert_triage_agent/register.py new file mode 100644 index 000000000..2985fff5d --- /dev/null +++ b/examples/alert_triage_agent/src/aiq_alert_triage_agent/register.py @@ -0,0 +1,184 @@ +# SPDX-FileCopyrightText: Copyright (c) 2025, NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +# pylint: disable=unused-import +# flake8: noqa + +import logging +import os + +from langchain_core.messages import HumanMessage +from langchain_core.messages import SystemMessage +from langgraph.graph import START +from langgraph.graph import MessagesState +from langgraph.graph import StateGraph +from langgraph.prebuilt import ToolNode +from langgraph.prebuilt import tools_condition + +from aiq.builder.builder import Builder +from aiq.builder.framework_enum import LLMFrameworkEnum +from aiq.cli.register_workflow import register_function +from aiq.data_models.function import FunctionBaseConfig + +# Import any tools which need to be automatically registered here +from . import categorizer +from . import hardware_check_tool +from . import host_performance_check_tool +from . import maintenance_check +from . import monitoring_process_check_tool +from . import network_connectivity_check_tool +from . import telemetry_metrics_analysis_agent +from . import telemetry_metrics_host_heartbeat_check_tool +from . import telemetry_metrics_host_performance_check_tool +from . import utils +from .prompts import ALERT_TRIAGE_AGENT_PROMPT + + +class AlertTriageAgentWorkflowConfig(FunctionBaseConfig, name="alert_triage_agent"): + """ + Configuration for the Alert Triage Agent workflow. This agent orchestrates multiple diagnostic tools + to analyze and triage alerts by: + 1. Checking for maintenance windows and known issues + 2. Gathering system metrics, hardware status, and connectivity information + 3. Analyzing telemetry data for patterns and anomalies + 4. Categorizing the root cause based on collected evidence + """ + tool_names: list[str] = [] + llm_name: str + + +@register_function(config_type=AlertTriageAgentWorkflowConfig, framework_wrappers=[LLMFrameworkEnum.LANGCHAIN]) +async def alert_triage_agent_workflow(config: AlertTriageAgentWorkflowConfig, builder: Builder): + + llm = await builder.get_llm(config.llm_name, wrapper_type=LLMFrameworkEnum.LANGCHAIN) + + # Get tools for alert triage + tool_names = config.tool_names + tools = [] + for tool_name in tool_names: + tool = builder.get_tool(tool_name, wrapper_type=LLMFrameworkEnum.LANGCHAIN) + tools.append(tool) + llm_n_tools = llm.bind_tools(tools, parallel_tool_calls=True) + + categorizer_tool = builder.get_tool("categorizer", wrapper_type=LLMFrameworkEnum.LANGCHAIN) + maintenance_check_tool = builder.get_tool("maintenance_check", wrapper_type=LLMFrameworkEnum.LANGCHAIN) + + # Define assistant function that processes messages with the LLM + def ata_assistant(state: MessagesState): + # Create system message with prompt + sys_msg = SystemMessage(content=ALERT_TRIAGE_AGENT_PROMPT) + # Invoke LLM with system message and conversation history + return {"messages": [llm_n_tools.invoke([sys_msg] + state["messages"])]} + + # Initialize state graph for managing conversation flow + builder_graph = StateGraph(MessagesState) + + # Get tools specified in config + tools = builder.get_tools(config.tool_names, wrapper_type=LLMFrameworkEnum.LANGCHAIN) + + # Add nodes to graph + builder_graph.add_node("ata_assistant", ata_assistant) + builder_graph.add_node("tools", ToolNode(tools)) + + # Define graph edges to control conversation flow + builder_graph.add_edge(START, "ata_assistant") + builder_graph.add_conditional_edges( + "ata_assistant", + tools_condition, + ) + builder_graph.add_edge("tools", "ata_assistant") + + # Compile graph into executable agent + agent_executor = builder_graph.compile() + + async def _process_alert(input_message: str) -> str: + """Process an alert through maintenance check, agent analysis, and root cause categorization. + + First checks if there is ongoing maintenance. If not, runs the alert through the agent for + analysis and finally appends root cause categorization to the result. + """ + # Check if alert is during maintenance window + maintenance_result = await maintenance_check_tool.arun(input_message) + if maintenance_result != maintenance_check.NO_ONGOING_MAINTENANCE_STR: + return maintenance_result + + # Process alert through agent since no maintenance is occurring + output = await agent_executor.ainvoke({"messages": [HumanMessage(content=input_message)]}) + result = output["messages"][-1].content + + # Determine and append root cause category + root_cause = await categorizer_tool.arun(result) + return result + root_cause + + async def _response_fn(input_message: str) -> str: + """Process alert message and return analysis with recommendations.""" + try: + result = await _process_alert(input_message) + return result + finally: + utils.logger.info("Finished agent execution") + + async def _response_test_fn(input_message: str) -> str: + """Test mode response function that processes multiple alerts from a CSV file. + + Args: + input_message: Not used in test mode, alerts are read from CSV instead + + Returns: + Confirmation message after processing completes + + Raises: + ValueError: If TEST_OUTPUT_RELATIVE_FILEPATH environment variable is not set + """ + output_filepath = os.getenv("TEST_OUTPUT_RELATIVE_FILEPATH") + if output_filepath is None: + raise ValueError("TEST_OUTPUT_RELATIVE_FILEPATH environment variable must be set") + + # Load test alerts from CSV file + df = utils.load_test_data() + df["output"] = "" # Initialize output column + utils.log_header(f"Processing {len(df)} Alerts") + + # Analyze each alert and store results + for i, (index, row) in enumerate(df.iterrows()): + alert_msg = row["alert"] + utils.log_header(f"Alert {i + 1}/{len(df)}", dash_length=50) + report = await _process_alert(alert_msg) + df.loc[df.index == index, "output"] = report + utils.log_footer(dash_length=50) + + utils.log_header("Saving Results") + + # Write results to output CSV + output_path = os.path.join(os.path.abspath(os.path.dirname(__file__)), output_filepath) + # Create output directory if it doesn't exist + os.makedirs(os.path.dirname(output_path), exist_ok=True) + df.to_csv(output_path, index=False) + + utils.log_footer() + return f"Successfully processed {len(df)} alerts. Results saved to {output_filepath}" + + is_test_mode = utils.is_test_mode() + try: + if is_test_mode: + utils.log_header("Running in test mode", dash_length=120, level=logging.INFO) + yield _response_test_fn + else: + yield _response_fn + + except GeneratorExit: + utils.logger.info("Exited early!") + finally: + utils.logger.info("Cleaning up") diff --git a/examples/alert_triage_agent/src/aiq_alert_triage_agent/run.py b/examples/alert_triage_agent/src/aiq_alert_triage_agent/run.py new file mode 100644 index 000000000..5d478ba2b --- /dev/null +++ b/examples/alert_triage_agent/src/aiq_alert_triage_agent/run.py @@ -0,0 +1,170 @@ +# SPDX-FileCopyrightText: Copyright (c) 2025, NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +""" +Alert Triage HTTP Server + +This script implements a Flask-based HTTP server that automates alert triage workflows. +It provides an endpoint that: +1. Accepts POST requests containing monitoring alerts in JSON format +2. Collects alert IDs to track all processed alerts +3. Launches an AIQ Toolkit triage agent for each unique alert +4. The triage agent performs automated investigation using diagnostic tools + and generates structured reports with root cause analysis + +The server acts as the entry point for the alert triage system, enabling automated +handling of monitoring alerts from various sources. + +Example Usage: + +1. Start the server: + python run.py --host 0.0.0.0 --port 5000 --env_file /path/to/.env + +2. Send a single alert (in a separate terminal): + curl -X POST http://localhost:5000/alerts \ + -H "Content-Type: application/json" \ + -d '{ + "alert_id": 1, + "alert_name": "InstanceDown", + "host_id": "test-instance-1.example.com", + "severity": "critical", + "description": "Instance test-instance-1.example.com is not available for scrapping for the last 5m. " \ + "Please check: - instance is up and running; - monitoring service is in place and running; " \ + "- network connectivity is ok", + "summary": "Instance test-instance-1.example.com is down", + "timestamp": "2025-04-28T05:00:00.000000" + }' + +3. Send multiple alerts (in a separate terminal): + curl -X POST http://localhost:5000/alerts \ + -H "Content-Type: application/json" \ + -d '[{ + "alert_id": 1, + "alert_name": "InstanceDown", + "host_id": "test-instance-1.example.com", + "severity": "critical", + "description": "Instance test-instance-1.example.com is not available for scrapping for the last 5m. " \ + "Please check: - instance is up and running; - monitoring service is in place and running; " \ + "- network connectivity is ok", + "summary": "Instance test-instance-1.example.com is down", + "timestamp": "2025-04-28T05:00:00.000000" + }, { + "alert_id": 2, + "alert_name": "CPUUsageHighError", + "host_id": "test-instance-2.example.com", + "severity": "critical", + "description": "CPU Overall usage on test-instance-2.example.com is high ( current value 100% ). " \ + "Please check: - trend of cpu usage for all cpus; - running processes for investigate issue; " \ + "- is there any hardware related issues (e.g. IO bottleneck)", + "summary": "CPU Usage on test-instance-2.example.com is high (error state)", + "timestamp": "2025-04-28T06:00:00.000000" + }]' + +Response format: +{ + "received_alert_count": 2, // number of alerts received in the latest request + "total_launched": 5 // cumulative count of all alerts processed +} +""" + +import argparse +import json +import subprocess + +from flask import Flask +from flask import jsonify +from flask import request + +app = Flask(__name__) +processed_alerts = [] +# will be set in __main__ +ENV_FILE = None + + +def start_process(alert: dict, env_file: str) -> None: + """ + Launch the external triage agent process with the alert payload. + + :param alert: Dictionary of alert metric labels + :param env_file: Path to the .env file + """ + payload = "Here is the alert in JSON format to investigate:\n" + json.dumps(alert) + cmd = [ + "dotenv", + "-f", + env_file, + "run", + "aiq", + "run", + "--config_file=examples/alert_triage_agent/src/aiq_alert_triage_agent/configs/config.yml", + "--input", + payload, + ] + try: + print( + f"[start_process] Launching triage for alert '{alert.get('alert_name')}' on host '{alert.get('host_id')}'") + with subprocess.Popen(cmd) as process: + process.wait() + except Exception as e: + print(f"[start_process] Failed to start process: {e}") + + +@app.route("/alerts", methods=["POST"]) +def receive_alert(): + """ + HTTP endpoint to receive a JSON alert via POST. + Expects application/json with a single alert dict or a list of alerts. + """ + try: + data = request.get_json(force=True) + except Exception: + return jsonify({"error": "Invalid JSON"}), 400 + + alerts = data if isinstance(data, list) else [data] + + for alert in alerts: + alert_id = alert.get('alert_id') + processed_alerts.append(alert_id) + # use the globals-set ENV_FILE + if ENV_FILE is None: + raise ValueError("ENV_FILE must be set before processing alerts") + start_process(alert, ENV_FILE) + + return jsonify({"received_alert_count": len(alerts), "total_launched": len(processed_alerts)}), 200 + + +def parse_args(): + """ + Parse command-line arguments for server configuration. + """ + parser = argparse.ArgumentParser(description="Run an HTTP server to accept alert POSTs and trigger triage.") + parser.add_argument("--host", default="0.0.0.0", help="Host/IP to bind to (default: 0.0.0.0)") + parser.add_argument("--port", type=int, default=5000, help="Port to listen on (default: 5000)") + parser.add_argument("--env_file", default=".env", help="Path to the .env file (default: .env)") + return parser.parse_args() + + +if __name__ == "__main__": + args = parse_args() + # set the global ENV_FILE for use in the Flask handler + ENV_FILE = args.env_file + + print("---------------[ Alert Triage HTTP Server ]-----------------") + print("Protocol : HTTP") + print(f"Listening : {args.host}:{args.port}") + print(f"Env File : {args.env_file}") + print("Endpoint : POST /alerts with JSON payload\n") + + # Start the Flask development server + app.run(host=args.host, port=args.port) diff --git a/examples/alert_triage_agent/src/aiq_alert_triage_agent/telemetry_metrics_analysis_agent.py b/examples/alert_triage_agent/src/aiq_alert_triage_agent/telemetry_metrics_analysis_agent.py new file mode 100644 index 000000000..736f02f02 --- /dev/null +++ b/examples/alert_triage_agent/src/aiq_alert_triage_agent/telemetry_metrics_analysis_agent.py @@ -0,0 +1,103 @@ +# SPDX-FileCopyrightText: Copyright (c) 2025, NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +from langchain_core.messages import HumanMessage +from langchain_core.messages import SystemMessage +from langgraph.graph import START +from langgraph.graph import MessagesState +from langgraph.graph import StateGraph +from langgraph.prebuilt import ToolNode +from langgraph.prebuilt import tools_condition +from pydantic import Field + +from aiq.builder.builder import Builder +from aiq.builder.framework_enum import LLMFrameworkEnum +from aiq.builder.function_info import FunctionInfo +from aiq.cli.register_workflow import register_function +from aiq.data_models.component_ref import LLMRef +from aiq.data_models.function import FunctionBaseConfig + +from . import utils +from .prompts import TelemetryMetricsAnalysisPrompts + + +class TelemetryMetricsAnalysisAgentConfig(FunctionBaseConfig, name="telemetry_metrics_analysis_agent"): + description: str = Field(default=("This is a telemetry metrics tool used to monitor remotely collected " + "telemetry data. It checks server heartbeat data to determine whether " + "the server is up and running and analyzes CPU usage patterns over " + "the past 14 days to identify potential CPU issues. Args: host_id: " + "str, alert_type: str"), + description="Description of the tool for the agent.") + tool_names: list[str] = [] + llm_name: LLMRef + + +@register_function(config_type=TelemetryMetricsAnalysisAgentConfig) +async def telemetry_metrics_analysis_agent_tool(config: TelemetryMetricsAnalysisAgentConfig, builder: Builder): + + async def _arun(host_id: str, alert_type: str) -> str: + """ + Analyze telemetry metrics for a given host and alert type using LLM-powered reasoning. + + Args: + host_id (str): Identifier of the host to analyze + alert_type (str): Type of alert that triggered the analysis + + Returns: + str: Analysis conclusion from the LLM agent + """ + utils.log_header("Telemetry Metrics Analysis Agent") + + tools = builder.get_tools(tool_names=config.tool_names, wrapper_type=LLMFrameworkEnum.LANGCHAIN) + llm = await builder.get_llm(llm_name=config.llm_name, wrapper_type=LLMFrameworkEnum.LANGCHAIN) + # Bind tools to LLM for parallel execution + llm_n_tools = llm.bind_tools(tools, parallel_tool_calls=True) + + # Define agent function that processes messages with LLM + def telemetry_metrics_analysis_agent(state: MessagesState): + sys_msg = SystemMessage(content=TelemetryMetricsAnalysisPrompts.AGENT) + return {"messages": [llm_n_tools.invoke([sys_msg] + state["messages"])]} + + # Build the agent execution graph + builder_graph = StateGraph(MessagesState) + + # Add nodes for agent and tools + builder_graph.add_node("telemetry_metrics_analysis_agent", telemetry_metrics_analysis_agent) + builder_graph.add_node("tools", ToolNode(tools)) + + # Configure graph edges for execution flow + builder_graph.add_edge(START, "telemetry_metrics_analysis_agent") + builder_graph.add_conditional_edges( + "telemetry_metrics_analysis_agent", + tools_condition, + ) + builder_graph.add_edge("tools", "telemetry_metrics_analysis_agent") + + # Compile the execution graph + agent_executor = builder_graph.compile() + + # Execute analysis and get response + input_message = f"Host to investigate: {host_id}. Alert type: {alert_type}" + response = await agent_executor.ainvoke({"messages": [HumanMessage(content=input_message)]}) + + conclusion = response["messages"][-1].content + + utils.log_footer() + return conclusion + + yield FunctionInfo.from_fn( + _arun, + description=config.description, + ) diff --git a/examples/alert_triage_agent/src/aiq_alert_triage_agent/telemetry_metrics_host_heartbeat_check_tool.py b/examples/alert_triage_agent/src/aiq_alert_triage_agent/telemetry_metrics_host_heartbeat_check_tool.py new file mode 100644 index 000000000..ea98e57e5 --- /dev/null +++ b/examples/alert_triage_agent/src/aiq_alert_triage_agent/telemetry_metrics_host_heartbeat_check_tool.py @@ -0,0 +1,87 @@ +# SPDX-FileCopyrightText: Copyright (c) 2025, NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import requests +from pydantic import Field + +from aiq.builder.builder import Builder +from aiq.builder.function_info import FunctionInfo +from aiq.cli.register_workflow import register_function +from aiq.data_models.component_ref import LLMRef +from aiq.data_models.function import FunctionBaseConfig + +from . import utils +from .prompts import TelemetryMetricsAnalysisPrompts + + +class TelemetryMetricsHostHeartbeatCheckToolConfig(FunctionBaseConfig, name="telemetry_metrics_host_heartbeat_check"): + description: str = Field( + default=("This tool checks if a host's telemetry monitoring service is reporting heartbeat metrics. " + "This tells us if the host is up and running. Args: host_id: str"), + description="Description of the tool for the agent.") + llm_name: LLMRef + + +@register_function(config_type=TelemetryMetricsHostHeartbeatCheckToolConfig) +async def telemetry_metrics_host_heartbeat_check_tool(config: TelemetryMetricsHostHeartbeatCheckToolConfig, + builder: Builder): + + async def _arun(host_id: str) -> str: + is_test_mode = utils.is_test_mode() + utils.log_header("Telemetry Metrics Host Heartbeat Check", dash_length=50) + + try: + if not is_test_mode: + # NOTE: Replace these placeholder values with your actual telemetry monitoring system details + # Example implementation using a monitoring system's API to check host status + monitoring_url = "http://your-monitoring-server:9090" # Replace with your monitoring system URL + + # Customize query based on your monitoring setup and metrics + # This example checks if a host's monitoring agent is reporting as up + query = f'up{{instance=~"{host_id}:9100"}}' # Adjust port and query pattern for your environment + + url = f"{monitoring_url}/api/query" + params = {"query": query} + + response = requests.get(url, params=params, timeout=30) + response.raise_for_status() + data = response.json() + if data is not None: + data = data["data"] + else: + # In test mode, load test data from CSV file + df = utils.load_test_data() + data = utils.load_column_or_static( + df=df, host_id=host_id, column="telemetry_metrics_host_heartbeat_check_tool:heartbeat_check_output") + + # Additional LLM reasoning layer on playbook output to provide a summary of the results + utils.log_header("LLM Reasoning", dash_length=30) + + conclusion = await utils.llm_ainvoke( + config, builder, user_prompt=TelemetryMetricsAnalysisPrompts.HOST_HEARTBEAT_CHECK.format(data=data)) + + utils.logger.debug(conclusion) + utils.log_footer(dash_length=50) + + return conclusion + + except Exception as e: + utils.logger.error("Error during telemetry metrics host heartbeat check: %s", str(e)) + raise e + + yield FunctionInfo.from_fn( + _arun, + description=config.description, + ) diff --git a/examples/alert_triage_agent/src/aiq_alert_triage_agent/telemetry_metrics_host_performance_check_tool.py b/examples/alert_triage_agent/src/aiq_alert_triage_agent/telemetry_metrics_host_performance_check_tool.py new file mode 100644 index 000000000..5e3ec5836 --- /dev/null +++ b/examples/alert_triage_agent/src/aiq_alert_triage_agent/telemetry_metrics_host_performance_check_tool.py @@ -0,0 +1,172 @@ +# SPDX-FileCopyrightText: Copyright (c) 2025, NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import json +import statistics +from datetime import UTC +from datetime import datetime +from datetime import timedelta + +import requests +from pydantic import Field + +from aiq.builder.builder import Builder +from aiq.builder.function_info import FunctionInfo +from aiq.cli.register_workflow import register_function +from aiq.data_models.component_ref import LLMRef +from aiq.data_models.function import FunctionBaseConfig + +from . import utils +from .prompts import TelemetryMetricsAnalysisPrompts + + +class TelemetryMetricsHostPerformanceCheckToolConfig(FunctionBaseConfig, + name="telemetry_metrics_host_performance_check"): + description: str = Field(default=("This tool checks the performance of the host by analyzing the CPU " + "usage timeseries. Args: host_id: str"), + description="Description of the tool for the agent.") + llm_name: LLMRef + + +def _timeseries_stats(ts): + """Calculate and format summary statistics for a time series. + + Args: + ts (list): List of numeric values representing a time series + + Returns: + str: Markdown formatted string containing summary statistics + """ + count = len(ts) + max_val = max(ts) + min_val = min(ts) + mean_val = sum(ts) / count if count > 0 else float("nan") + median_val = statistics.median(ts) + + markdown_summary = f""" +Time Series Statistics +- Number of Data Points: {count} +- Maximum Value: {max_val} +- Minimum Value: {min_val} +- Mean Value: {mean_val:.2f} +- Median Value: {median_val} +""" + return markdown_summary + + +def _get_llm_analysis_input(timestamp_value_list): + """Format telemetry metric data for LLM analysis. + + Takes raw telemetry metric data and formats it into a string containing: + 1. A timestamp-value timeseries in JSON format + 2. Summary statistics of the values + + The input timestamp_value_list is expected to be a list of [timestamp, value] pairs, where: + - timestamp is a Unix timestamp (seconds since epoch) + - value is a numeric string or number representing the metric value + + Example input: + [[1642435200, "45.2"], [1642438800, "47.8"], ...] + + Args: + timestamp_value_list (list): List of [timestamp, value] pairs from telemetry data + + Returns: + str: Formatted string containing: + - JSON array of [datetime_str, value] pairs with human readable timestamps + - Summary statistics of the metric values + """ + # Convert Unix timestamps to ISO format datetime strings and preserve values + # Example: "2022-01-17 12:00:00" for timestamp 1642435200 + data = [[datetime.fromtimestamp(entry[0]).strftime("%Y-%m-%d %H:%M:%S"), entry[1]] + for entry in timestamp_value_list] + + # Extract metric values and convert to float for statistical analysis + # Assumes values are numeric strings or numbers + ts = [float(entry[1]) for entry in timestamp_value_list] + + # Format data for LLM analysis by combining: + # 1. The full timeseries as JSON + # 2. Statistical summary from _timeseries_stats() + input_str = f"""Timeseries:\n{json.dumps(data)}\n\n{_timeseries_stats(ts)}""" + return input_str + + +@register_function(config_type=TelemetryMetricsHostPerformanceCheckToolConfig) +async def telemetry_metrics_host_performance_check_tool(config: TelemetryMetricsHostPerformanceCheckToolConfig, + builder: Builder): + + async def _arun(host_id: str) -> str: + is_test_mode = utils.is_test_mode() + utils.log_header("Telemetry Metrics CPU Usage Pattern Analysis", dash_length=100) + + try: + if not is_test_mode: + # NOTE: Replace these placeholder values with your actual telemetry monitoring system details + # Example implementation using a monitoring system's API to check host status + monitoring_url = "http://your-monitoring-server:9090" # Replace with your monitoring system URL + + # Customize query based on your monitoring setup and metrics + # This example queries the CPU usage percentage by subtracting idle CPU from 100% + query = '(100 - cpu_usage_idle{cpu="cpu-total",instance=~"{host_id}:9100"})' + url = f"{monitoring_url}/api/query_range" + + # Example values - users should customize these based on their monitoring requirements + step = "30m" # Adjust granularity of data points + end_time = datetime.now(UTC) # Current time as end point + start_time = end_time - timedelta(weeks=2) # Look back 2 weeks + + start_time_str = start_time.isoformat() + end_time_str = end_time.isoformat() + params = {"query": query, "start": start_time_str, "end": end_time_str, "step": step} + + response = requests.get(url, params=params, timeout=30) + response.raise_for_status() + data = response.json() + + else: + # In test mode, load test data from CSV file + df = utils.load_test_data() + data = utils.load_column_or_static( + df=df, + host_id=host_id, + column="telemetry_metrics_host_performance_check_tool:performance_check_output") + data = json.loads(data) + + # Extract the timestamp-value timeseries from the response + data = data["data"]["result"][0]["values"] + + # Additional LLM reasoning layer on playbook output to provide a summary of the results + utils.log_header("LLM Reasoning", dash_length=30) + + data_input = _get_llm_analysis_input(data) + conclusion = await utils.llm_ainvoke( + config, + builder, + user_prompt=data_input, + system_prompt=TelemetryMetricsAnalysisPrompts.HOST_PERFORMANCE_CHECK, + ) + utils.logger.debug(conclusion) + utils.log_footer(dash_length=50) + return conclusion + + except Exception as e: + utils.logger.error("Error during telemetry metrics host performance check: %s", str(e)) + raise e + + yield FunctionInfo.from_fn( + _arun, + description=config.description, + ) diff --git a/examples/alert_triage_agent/src/aiq_alert_triage_agent/utils.py b/examples/alert_triage_agent/src/aiq_alert_triage_agent/utils.py new file mode 100644 index 000000000..b3f9ece9a --- /dev/null +++ b/examples/alert_triage_agent/src/aiq_alert_triage_agent/utils.py @@ -0,0 +1,247 @@ +# SPDX-FileCopyrightText: Copyright (c) 2025, NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import json +import logging +import math +import os + +import ansible_runner +import pandas as pd +from langchain_core.messages import HumanMessage +from langchain_core.prompts import ChatPromptTemplate +from langchain_core.prompts import MessagesPlaceholder + +from aiq.builder.framework_enum import LLMFrameworkEnum + +logger = logging.getLogger("aiq_alert_triage_agent") + +# module‐level variable; loaded on first use +_DATA_CACHE = { + 'test_data': None, + 'benign_fallback_test_data': None, +} + +# Cache LLMs by name and wrapper type +_LLM_CACHE = {} + + +async def _get_llm(builder, llm_name, wrapper_type): + """ + Get an LLM from cache or create and cache a new one. + + Args: + builder: The builder instance to create new `llm` + llm_name: Name of the LLM to get/create + wrapper_type: Type of LLM wrapper framework to use + + Returns: + The cached or newly created LLM instance + """ + cache_key = (llm_name, wrapper_type) + if cache_key not in _LLM_CACHE: + _LLM_CACHE[cache_key] = await builder.get_llm(llm_name=llm_name, wrapper_type=wrapper_type) + return _LLM_CACHE[cache_key] + + +async def llm_ainvoke(config, builder, user_prompt, system_prompt=None): + """ + A helper function to invoke an LLM with a system prompt and user prompt. + Uses a cached LLM instance if one exists for the given name and wrapper type. + """ + llm = await _get_llm(builder, config.llm_name, LLMFrameworkEnum.LANGCHAIN) + + if system_prompt: + prompt = ChatPromptTemplate([("system", system_prompt), MessagesPlaceholder("msgs")]) + else: + prompt = ChatPromptTemplate([MessagesPlaceholder("msgs")]) + chain = prompt | llm + result = await chain.ainvoke({"msgs": [HumanMessage(content=user_prompt)]}) + return result.content + + +def log_header(log_str: str, dash_length: int = 100, level: int = logging.DEBUG): + """Logs a centered header with '=' dashes at the given log level.""" + left = math.floor((dash_length - len(log_str)) / 2) + right = dash_length - len(log_str) - left + header = "=" * left + log_str + "=" * right + logger.log(level, header) + + +def log_footer(dash_length: int = 100, level: int = logging.DEBUG): + """Logs a full line of '=' dashes at the given log level.""" + footer = "=" * dash_length + logger.log(level, footer) + + +def load_test_data(): + """ + Loads test data from a CSV file (only once per process). + + Returns: + pandas.DataFrame: The loaded test data + + Raises: + ValueError: If TEST_DATA_RELATIVE_FILEPATH environment variable is not set + """ + if _DATA_CACHE['test_data'] is None: + rel_path = os.getenv("TEST_DATA_RELATIVE_FILEPATH") + if not rel_path: + raise ValueError("TEST_DATA_RELATIVE_FILEPATH environment variable must be set") + abs_path = os.path.join(os.path.abspath(os.path.dirname(__file__)), rel_path) + _DATA_CACHE['test_data'] = pd.read_csv(abs_path) + + return _DATA_CACHE['test_data'] + + +def is_test_mode(): + return os.getenv("TEST_MODE", "false").lower() == "true" + + +def _get_static_data(env_var): + """ + Load and cache static test data from a JSON file specified by an environment variable. + + This function implements a singleton pattern using a module-level cache to avoid + repeatedly reading the same JSON file. The first call loads and caches the data, + subsequent calls return the cached data. + + Args: + env_var (str): Name of environment variable containing path to JSON file + + Returns: + dict: Parsed JSON data from the file + + Raises: + ValueError: If the specified environment variable is not set + json.JSONDecodeError: If the file contains invalid JSON + FileNotFoundError: If the JSON file does not exist + """ + # Use module-level cache to implement singleton pattern + if _DATA_CACHE['benign_fallback_test_data'] is None: + # First time - need to load data from file + filepath = os.getenv(env_var) + if filepath is None: + raise ValueError(f"{env_var} environment variable must be set") + path = os.path.join(os.path.abspath(os.path.dirname(__file__)), filepath) + # Load and cache the JSON data + with open(path, "r") as f: + _DATA_CACHE['benign_fallback_test_data'] = json.load(f) + return _DATA_CACHE['benign_fallback_test_data'] + + +def load_column_or_static(df, host_id, column, static_env_var="TEST_BENIGN_DATA_RELATIVE_FILEPATH"): + """ + Attempts to load data from a DataFrame column, falling back to static JSON if needed. + + The function assumes that in the test dataset, host_ids are unique and used to locate + specific tool return values. This means each host_id should appear in at most one row. + + Args: + df (pandas.DataFrame): DataFrame containing test data + host_id (str): Host ID to look up in the DataFrame + column (str): Column name to retrieve data from + static_env_var (str, optional): Environment variable pointing to static JSON file. + Defaults to "TEST_BENIGN_DATA_RELATIVE_FILEPATH". + + Returns: + The value from either the DataFrame or static JSON for the given column. + + Raises: + KeyError: If column not found in static data or DataFrame, or if host_id not found in DataFrame + ValueError: If multiple rows found for the same host_id in DataFrame + """ + if column not in df.columns: + # Column missing from DataFrame, try loading from static JSON file + static_data = _get_static_data(static_env_var) + try: + return static_data[column] + except KeyError as exc: + raise KeyError(f"Column '{column}' not found in static data") from exc + # Column exists in DataFrame, get value for this host + # Assumption: In test dataset, host_ids are unique and used to locate specific tool return values + # If multiple rows found for a host_id, this indicates data inconsistency + subset = df.loc[df["host_id"] == host_id, column] + if subset.empty: + raise KeyError(f"No row for host_id='{host_id}' in DataFrame") + if len(subset) > 1: + raise ValueError(f"Multiple rows found for host_id='{host_id}' in DataFrame. Expected unique host_ids.") + return subset.values[0] + + +async def run_ansible_playbook(playbook: list, + ansible_host: str, + ansible_user: str, + ansible_port: int, + ansible_private_key_path: str) -> dict: + """ + Execute an Ansible playbook against a remote host and return structured output. + + Args: + playbook (list): Ansible playbook to execute + ansible_host (str): Target host to run playbook against + ansible_user (str): SSH username for connection + ansible_port (int): SSH port number + ansible_private_key_path (str): Path to SSH private key file + + Returns: + dict: Structured output containing playbook execution results + """ + # Define inventory dictionary with connection details for target host + inventory = { + "all": { + "hosts": { + "host1": { + "ansible_host": ansible_host, + "ansible_user": ansible_user, + "ansible_ssh_private_key_file": ansible_private_key_path, + "ansible_port": ansible_port, + } + } + } + } + + # Get current directory to use as private data dir + current_dir = os.path.dirname(os.path.abspath(__file__)) + + # Execute the ansible playbook using ansible-runner + runner = ansible_runner.run(private_data_dir=current_dir, playbook=playbook, inventory=inventory) + + # Initialize output dictionary with basic run info + output = {"ansible_status": runner.status, "return_code": runner.rc, "task_results": []} + + # If no events available, return raw stdout output + if not hasattr(runner, "events") or not runner.events: + output["raw_output"] = runner.stdout.read() if runner.stdout else "No output captured." + return output + + # Process each event and extract task results + for event in runner.events: + # Only process successful or failed task events + if event.get("event") not in ["runner_on_ok", "runner_on_failed"]: + continue + + # Extract event data and build task result dictionary + event_data = event["event_data"] + task_result = { + "task": event_data.get("task", "unknown"), + "host": event_data.get("host", "unknown"), + "status": event.get("event"), + "stdout": event.get("stdout", ""), + "result": event_data.get("res", {}) + } + output["task_results"].append(task_result) + + return output diff --git a/pyproject.toml b/pyproject.toml index 745a29ae5..b7393dee5 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -70,6 +70,7 @@ weave = ["aiqtoolkit-weave"] zep-cloud = ["aiqtoolkit-zep-cloud"] examples = [ + "aiq_alert_triage_agent", "aiq_email_phishing_analyzer", "aiq_multi_frameworks", "aiq_plot_charts", @@ -105,6 +106,7 @@ aiqtoolkit-agno = { workspace = true } aiqtoolkit-weave = { workspace = true } # All examples here +aiq_alert_triage_agent = { path = "examples/alert_triage_agent", editable = true } aiq_email_phishing_analyzer = { path = "examples/email_phishing_analyzer", editable = true } aiq_multi_frameworks = { path = "examples/multi_frameworks", editable = true } aiq_plot_charts = { path = "examples/plot_charts", editable = true } @@ -313,8 +315,7 @@ argument-naming-style = "snake_case" attr-naming-style = "snake_case" # Regular expression matching correct attribute names. Overrides attr-naming- -# style. If left empty, attribute names will be checked with the set naming -# style. +# style. If left empty, attribute names will be checked with the set naming style. # attr-rgx = # Bad variable names which should always be refused, separated by a comma. diff --git a/uv.lock b/uv.lock index 4a7693154..9aea5885c 100644 --- a/uv.lock +++ b/uv.lock @@ -1,10 +1,11 @@ version = 1 -requires-python = ">=3.11,<3.13" +revision = 1 +requires-python = "==3.12.*" resolution-markers = [ - "python_full_version >= '3.13'", - "python_full_version >= '3.12.4' and python_full_version < '3.13'", - "python_full_version >= '3.12' and python_full_version < '3.12.4'", - "python_full_version < '3.12'", + "python_full_version >= '3.12.4' and sys_platform == 'linux'", + "python_full_version >= '3.12.4' and sys_platform != 'linux'", + "python_full_version < '3.12.4' and sys_platform == 'linux'", + "python_full_version < '3.12.4' and sys_platform != 'linux'", ] [manifest] @@ -17,6 +18,7 @@ members = [ "aiqtoolkit-mem0ai", "aiqtoolkit-semantic-kernel", "aiqtoolkit-test", + "aiqtoolkit-weave", 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<194135482+ericevans-nv@users.noreply.github.com> Date: Mon, 5 May 2025 17:41:29 -0500 Subject: [PATCH 21/60] Updating ui submodule (#211) Closes ## By Submitting this PR I confirm: - I am familiar with the [Contributing Guidelines](https://github.com/NVIDIA/AIQToolkit/blob/develop/docs/source/advanced/contributing.md). - We require that all contributors "sign-off" on their commits. This certifies that the contribution is your original work, or you have rights to submit it under the same license, or a compatible license. - Any contribution which contains commits that are not Signed-Off will not be accepted. - When the PR is ready for review, new or existing tests cover these changes. - When the PR is ready for review, the documentation is up to date with these changes. Authors: - Eric Evans II (https://github.com/ericevans-nv) Approvers: - David Gardner (https://github.com/dagardner-nv) URL: https://github.com/NVIDIA/AIQToolkit/pull/211 Signed-off-by: Yuchen Zhang --- docs/source/_static/hitl_result.png | 4 ++-- docs/source/_static/ui_generate_example.png | 4 ++-- docs/source/_static/ui_generate_websocket_example.png | 4 ++-- docs/source/_static/ui_home_page.png | 4 ++-- external/aiqtoolkit-opensource-ui | 2 +- 5 files changed, 9 insertions(+), 9 deletions(-) diff --git a/docs/source/_static/hitl_result.png b/docs/source/_static/hitl_result.png index de1b9de39..45c894238 100644 --- a/docs/source/_static/hitl_result.png +++ b/docs/source/_static/hitl_result.png @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:8afd02dd8c15fea6d4eaf5dc7a47e7c2b550aabcaae843580e95b51ea50d946c -size 342701 +oid sha256:8f14db1a818c939eb923eaafcd8d7838f29bc429fee97460a33c0897a9a3eb52 +size 295837 diff --git a/docs/source/_static/ui_generate_example.png b/docs/source/_static/ui_generate_example.png index ba78547ed..6536acc90 100644 --- a/docs/source/_static/ui_generate_example.png +++ b/docs/source/_static/ui_generate_example.png @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:66834d8b615f85a26c4fa3e4f3ecf6dd15a9b6155304b284b28b6ba9aa590a4b -size 219472 +oid sha256:defefe003ff65c61e25f81b34aa66b01e8182e864d88bf71a9f503d2d97449ab +size 174729 diff --git a/docs/source/_static/ui_generate_websocket_example.png b/docs/source/_static/ui_generate_websocket_example.png index 98f765d07..54023a0df 100644 --- a/docs/source/_static/ui_generate_websocket_example.png +++ b/docs/source/_static/ui_generate_websocket_example.png @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:d01ae84af3b921a1e2f13f59fac62beccaafa4c16d8a0a343564f14e8f1e7b87 -size 821347 +oid sha256:70c730bd0209eda5e9e19e1918b13b325e8fcc702f3bd95b6f110ce6b50cc8bf +size 774334 diff --git a/docs/source/_static/ui_home_page.png b/docs/source/_static/ui_home_page.png index 8aeaa582f..4eb7aadb3 100644 --- a/docs/source/_static/ui_home_page.png +++ b/docs/source/_static/ui_home_page.png @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:7e00053aa3b1810fc8aaac33448dccb5fadd4b972c6be9973965c596623e9150 -size 366735 +oid sha256:a9d590497058b68a83c33954a5d7acc26b414a48436dae92e3c056e974520b64 +size 232271 diff --git a/external/aiqtoolkit-opensource-ui b/external/aiqtoolkit-opensource-ui index d277e477d..7e715d17c 160000 --- a/external/aiqtoolkit-opensource-ui +++ b/external/aiqtoolkit-opensource-ui @@ -1 +1 @@ -Subproject commit d277e477df9fa6a1b8b829b9b7739b2068ce5158 +Subproject commit 7e715d17cee115b1392a0972144ea548378c83b7 From 52e30c0792d54f1f55d0cc66d117ad827375b23f Mon Sep 17 00:00:00 2001 From: David Gardner <96306125+dagardner-nv@users.noreply.github.com> Date: Mon, 5 May 2025 16:24:20 -0700 Subject: [PATCH 22/60] Fix plugin dependencies (#208) * All examples, plugins and transitional packages now declare a version dependency on `aiqtoolkit` * Adds an `ci/release/update-version.sh` script to automate the updating of versions at release time. * Add a `ci/release/update_toml_dep.py` (called by `ci/release/update-version.sh`) to parse and update individual `pyproject.toml` files. * Add a new dev dependency on `tomlkit` (this was already present in the env as a transitive dep). * Ensure that nightly builds declare explicit dependencies on the nightly version number Closes #197 ## By Submitting this PR I confirm: - I am familiar with the [Contributing Guidelines](https://github.com/NVIDIA/AIQToolkit/blob/develop/docs/source/advanced/contributing.md). - We require that all contributors "sign-off" on their commits. This certifies that the contribution is your original work, or you have rights to submit it under the same license, or a compatible license. - Any contribution which contains commits that are not Signed-Off will not be accepted. - When the PR is ready for review, new or existing tests cover these changes. - When the PR is ready for review, the documentation is up to date with these changes. Authors: - David Gardner (https://github.com/dagardner-nv) Approvers: - Anuradha Karuppiah (https://github.com/AnuradhaKaruppiah) URL: https://github.com/NVIDIA/AIQToolkit/pull/208 Signed-off-by: Yuchen Zhang --- ci/release/update-version.sh | 72 ++++ ci/release/update_toml_dep.py | 63 +++ ci/scripts/gitlab/build_wheel.sh | 2 + examples/agno_personal_finance/pyproject.toml | 2 +- .../pyproject.toml | 2 +- .../workflows/text_file_ingest/pyproject.toml | 2 +- .../email_phishing_analyzer/pyproject.toml | 2 +- examples/plot_charts/pyproject.toml | 2 +- examples/por_to_jiratickets/pyproject.toml | 2 +- examples/simple/pyproject.toml | 2 +- examples/simple_calculator/pyproject.toml | 2 +- examples/swe_bench/pyproject.toml | 2 +- packages/aiqtoolkit_agno/pyproject.toml | 2 +- packages/aiqtoolkit_crewai/pyproject.toml | 2 +- packages/aiqtoolkit_langchain/pyproject.toml | 2 +- .../aiqtoolkit_llama_index/pyproject.toml | 2 +- packages/aiqtoolkit_mem0ai/pyproject.toml | 2 +- .../aiqtoolkit_semantic_kernel/pyproject.toml | 2 +- packages/aiqtoolkit_test/pyproject.toml | 2 +- packages/aiqtoolkit_weave/pyproject.toml | 2 +- packages/aiqtoolkit_zep_cloud/pyproject.toml | 2 +- packages/compat/agentiq/pyproject.toml | 2 +- packages/compat/agentiq_agno/pyproject.toml | 2 +- packages/compat/agentiq_crewai/pyproject.toml | 2 +- .../compat/agentiq_langchain/pyproject.toml | 2 +- packages/compat/agentiq_mem0ai/pyproject.toml | 2 +- packages/compat/agentiq_test/pyproject.toml | 2 +- pyproject.toml | 1 + uv.lock | 403 ++++++++++-------- 29 files changed, 384 insertions(+), 205 deletions(-) create mode 100755 ci/release/update-version.sh create mode 100755 ci/release/update_toml_dep.py diff --git a/ci/release/update-version.sh b/ci/release/update-version.sh new file mode 100755 index 000000000..c58140fd0 --- /dev/null +++ b/ci/release/update-version.sh @@ -0,0 +1,72 @@ +#!/bin/bash +# SPDX-FileCopyrightText: Copyright (c) 2025, NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +## Usage +# Either supply full versions: +# `bash update-version.sh ` +# Format is .. - no leading 'v' + +set -e + +# If the user has not supplied the versions, determine them from the git tags +if [[ "$#" -ne 1 ]]; then + echo "No versions were provided." + exit 1; +else + NEXT_VERSION=$1 +fi + +export SCRIPT_DIR=${SCRIPT_DIR:-"$( cd "$( dirname "${BASH_SOURCE[0]}" )" &> /dev/null && pwd )"} + +# The root to the AIQ Toolkit repo +export PROJECT_ROOT=${PROJECT_ROOT:-"$(realpath ${SCRIPT_DIR}/../..)"} + +NEXT_MAJOR=$(echo ${NEXT_VERSION} | awk '{split($0, a, "."); print a[1]}') +NEXT_MINOR=$(echo ${NEXT_VERSION} | awk '{split($0, a, "."); print a[2]}') +NEXT_PATCH=$(echo ${NEXT_VERSION} | awk '{split($0, a, "."); print a[3]}') +NEXT_SHORT_TAG=${NEXT_MAJOR}.${NEXT_MINOR} + +if [[ "${USE_FULL_VERSION}" == "1" ]]; then + AIQ_VERSION=${NEXT_VERSION} + VERSION_MATCH="==" +else + AIQ_VERSION=${NEXT_SHORT_TAG} + VERSION_MATCH="~=" +fi + +# Change directory to the repo root +pushd "${PROJECT_ROOT}" &> /dev/null + +# Update the dependencies that the examples and packages depend on aiqtoolkit, we are explicitly specifying the +# `examples` and `packages` directories in order to avoid accidentally updating toml files of third-party packages in +# the `.venv` directory, and updating the root pyproject.toml file. The sort is not really needed, but it makes the +# output deterministic and easier to read. +AIQ_PACKAGE_TOMLS=($(find ./packages -name "pyproject.toml" | sort )) +AIQ_EXAMPLE_TOMLS=($(find ./examples -name "pyproject.toml" | sort )) + +for TOML_FILE in ${AIQ_EXAMPLE_TOMLS[@]}; do + ${SCRIPT_DIR}/update_toml_dep.py \ + --toml-file-path=${TOML_FILE} \ + --new-version="${AIQ_VERSION}" \ + --version-match="${VERSION_MATCH}" +done + +for TOML_FILE in "${AIQ_PACKAGE_TOMLS[@]}"; do + ${SCRIPT_DIR}/update_toml_dep.py \ + --toml-file-path=${TOML_FILE} \ + --new-version="${AIQ_VERSION}" \ + --version-match="${VERSION_MATCH}" +done diff --git a/ci/release/update_toml_dep.py b/ci/release/update_toml_dep.py new file mode 100755 index 000000000..f428f563e --- /dev/null +++ b/ci/release/update_toml_dep.py @@ -0,0 +1,63 @@ +#!/usr/bin/env python +# SPDX-FileCopyrightText: Copyright (c) 2024-2025, NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import click +import tomlkit +import tomlkit.items +from packaging.requirements import Requirement +from packaging.specifiers import SpecifierSet + + +@click.command() +@click.option("--toml-file-path", required=True, type=click.Path(exists=True), help="Path to the TOML file.") +@click.option("--new-version", required=True, help="New version to set for the package.") +@click.option("--package-name", default="aiqtoolkit", help="Name of the package to update.") +@click.option("--version-match", default="~=", help="Version match specifier to use for the dependency.") +def main(toml_file_path: str, new_version: str, package_name: str, version_match: str): + """ + Update the dependency version of aiqtoolkit that a plugin depends on in the pyproject.toml file. + + Parameters + ---------- + toml_file_path : str + Path to the TOML file. + new_version : str + New version to set for the package. + package_name : str + Name of the package to update. + version_match : str + Version match specifier to use for the dependency. + """ + with open(toml_file_path, "r", encoding="utf-8") as fh: + toml_data = tomlkit.load(fh) + + toml_project: tomlkit.items.Table = toml_data['project'] + depdendencies: tomlkit.items.Array = toml_project['dependencies'] + for (i, dep) in enumerate(depdendencies): + req = Requirement(dep) + if req.name == package_name: # will also match aiqtoolkit[] + # Update the version specifier + specifier = SpecifierSet(f"{version_match}{new_version}") + req.specifier = specifier + depdendencies[i] = str(req) + + # Write the updated TOML file + with open(toml_file_path, "w", encoding="utf-8") as fh: + tomlkit.dump(toml_data, fh) + + +if __name__ == "__main__": + main() diff --git a/ci/scripts/gitlab/build_wheel.sh b/ci/scripts/gitlab/build_wheel.sh index 5df92b826..d8b725b67 100755 --- a/ci/scripts/gitlab/build_wheel.sh +++ b/ci/scripts/gitlab/build_wheel.sh @@ -25,6 +25,8 @@ rapids-logger "Git Version: ${GIT_TAG}" if [[ "${CI_CRON_NIGHTLY}" == "1" ]]; then export SETUPTOOLS_SCM_PRETEND_VERSION="${GIT_TAG}" + export USE_FULL_VERSION="1" + ${PROJECT_ROOT}/ci/release/update-version.sh "${GIT_TAG}" fi WHEELS_BASE_DIR="${CI_PROJECT_DIR}/.tmp/wheels" diff --git a/examples/agno_personal_finance/pyproject.toml b/examples/agno_personal_finance/pyproject.toml index 5ea2f848d..e28640b0d 100644 --- a/examples/agno_personal_finance/pyproject.toml +++ b/examples/agno_personal_finance/pyproject.toml @@ -9,7 +9,7 @@ root = "../.." name = "aiq_agno_personal_finance" dynamic = ["version"] dependencies = [ - "aiqtoolkit[agno]", + "aiqtoolkit[agno]~=1.1", "openai~=1.66", "litellm~=1.63.14" ] diff --git a/examples/automated_description_generation/pyproject.toml b/examples/automated_description_generation/pyproject.toml index a94761071..a2c11d226 100644 --- a/examples/automated_description_generation/pyproject.toml +++ b/examples/automated_description_generation/pyproject.toml @@ -9,7 +9,7 @@ root = "../.." name = "aiq_automated_description_generation" dynamic = ["version"] dependencies = [ - "aiqtoolkit[langchain]" + "aiqtoolkit[langchain]~=1.1" ] requires-python = ">=3.11,<3.13" description = "Automated Generation Description AI-Q example" diff --git a/examples/documentation_guides/workflows/text_file_ingest/pyproject.toml b/examples/documentation_guides/workflows/text_file_ingest/pyproject.toml index 121de5ee3..71f10faf5 100644 --- a/examples/documentation_guides/workflows/text_file_ingest/pyproject.toml +++ b/examples/documentation_guides/workflows/text_file_ingest/pyproject.toml @@ -6,7 +6,7 @@ requires = ["setuptools >= 64"] name = "text_file_ingest" version = "0.1.0" dependencies = [ - "aiqtoolkit[langchain]", + "aiqtoolkit[langchain]~=1.1", "bs4==0.0.2", "faiss-cpu==1.9.0", ] diff --git a/examples/email_phishing_analyzer/pyproject.toml b/examples/email_phishing_analyzer/pyproject.toml index 993b026ce..704e05d7b 100644 --- a/examples/email_phishing_analyzer/pyproject.toml +++ b/examples/email_phishing_analyzer/pyproject.toml @@ -9,7 +9,7 @@ root = "../.." name = "aiq_email_phishing_analyzer" dynamic = ["version"] dependencies = [ - "aiqtoolkit[langchain]", + "aiqtoolkit[langchain]~=1.1", "arize-phoenix==6.1.*", "bs4==0.0.2", "networkx~=3.4", diff --git a/examples/plot_charts/pyproject.toml b/examples/plot_charts/pyproject.toml index ad2d18a39..3d6c85225 100644 --- a/examples/plot_charts/pyproject.toml +++ b/examples/plot_charts/pyproject.toml @@ -9,7 +9,7 @@ root = "../.." name = "aiq_plot_charts" dynamic = ["version"] dependencies = [ - "aiqtoolkit[langchain]", + "aiqtoolkit[langchain]~=1.1", "matplotlib==3.9.*", "seaborn==0.13.*", ] diff --git a/examples/por_to_jiratickets/pyproject.toml b/examples/por_to_jiratickets/pyproject.toml index 23e2bfdbb..6d4f4b725 100644 --- a/examples/por_to_jiratickets/pyproject.toml +++ b/examples/por_to_jiratickets/pyproject.toml @@ -9,7 +9,7 @@ root = "../.." name = "aiq_por_to_jiratickets" dynamic = ["version"] dependencies = [ - "aiqtoolkit[langchain]", + "aiqtoolkit[langchain]~=1.1", ] requires-python = ">=3.10" description = "Custom AIQ Toolkit Workflow" diff --git a/examples/simple/pyproject.toml b/examples/simple/pyproject.toml index 9e45028fd..07f370a36 100644 --- a/examples/simple/pyproject.toml +++ b/examples/simple/pyproject.toml @@ -9,7 +9,7 @@ root = "../.." name = "aiq_simple" dynamic = ["version"] dependencies = [ - "aiqtoolkit[langchain]", + "aiqtoolkit[langchain]~=1.1", "faiss-cpu==1.9.0", ] requires-python = ">=3.11,<3.13" diff --git a/examples/simple_calculator/pyproject.toml b/examples/simple_calculator/pyproject.toml index eaa04e4d6..b869c5b68 100644 --- a/examples/simple_calculator/pyproject.toml +++ b/examples/simple_calculator/pyproject.toml @@ -9,7 +9,7 @@ root = "../.." name = "aiq_simple_calculator" dynamic = ["version"] dependencies = [ - "aiqtoolkit[langchain]", + "aiqtoolkit[langchain]~=1.1", ] requires-python = ">=3.11,<3.13" description = "Simple Calculator AIQ Toolkit example" diff --git a/examples/swe_bench/pyproject.toml b/examples/swe_bench/pyproject.toml index 9fe59a920..f130e2857 100644 --- a/examples/swe_bench/pyproject.toml +++ b/examples/swe_bench/pyproject.toml @@ -9,7 +9,7 @@ root = "../.." name = "aiq_swe_bench" dynamic = ["version"] dependencies = [ - "aiqtoolkit[langchain]", + "aiqtoolkit[langchain]~=1.1", "swebench==3.0.3" ] requires-python = ">=3.11,<3.13" diff --git a/packages/aiqtoolkit_agno/pyproject.toml b/packages/aiqtoolkit_agno/pyproject.toml index 04661cccd..75c2326c7 100644 --- a/packages/aiqtoolkit_agno/pyproject.toml +++ b/packages/aiqtoolkit_agno/pyproject.toml @@ -19,7 +19,7 @@ dependencies = [ # Keep package version constraints as open as possible to avoid conflicts with other packages. Always define a minimum # version when adding a new package. If unsure, default to using `~=` instead of `==`. Does not apply to aiq packages. # Keep sorted!!! - "aiqtoolkit", + "aiqtoolkit~=1.1", "agno~=1.2.3", "openai~=1.66", "google-search-results~=2.4.2", diff --git a/packages/aiqtoolkit_crewai/pyproject.toml b/packages/aiqtoolkit_crewai/pyproject.toml index b58de32ee..6d91d60b9 100644 --- a/packages/aiqtoolkit_crewai/pyproject.toml +++ b/packages/aiqtoolkit_crewai/pyproject.toml @@ -19,7 +19,7 @@ dependencies = [ # Keep package version constraints as open as possible to avoid conflicts with other packages. Always define a minimum # version when adding a new package. If unsure, default to using `~=` instead of `==`. Does not apply to aiq packages. # Keep sorted!!! - "aiqtoolkit", + "aiqtoolkit~=1.1", "crewai~=0.95.0", ] requires-python = ">=3.11,<3.13" diff --git a/packages/aiqtoolkit_langchain/pyproject.toml b/packages/aiqtoolkit_langchain/pyproject.toml index df34bdbdc..1e01e3d49 100644 --- a/packages/aiqtoolkit_langchain/pyproject.toml +++ b/packages/aiqtoolkit_langchain/pyproject.toml @@ -19,7 +19,7 @@ dependencies = [ # Keep package version constraints as open as possible to avoid conflicts with other packages. Always define a minimum # version when adding a new package. If unsure, default to using `~=` instead of `==`. Does not apply to aiq packages. # Keep sorted!!! - "aiqtoolkit", + "aiqtoolkit~=1.1", "langchain-core~=0.3.7", "langchain-nvidia-ai-endpoints~=0.3.5", "langchain-milvus~=0.1.5", diff --git a/packages/aiqtoolkit_llama_index/pyproject.toml b/packages/aiqtoolkit_llama_index/pyproject.toml index c34a9fdb4..5d73b5b1e 100644 --- a/packages/aiqtoolkit_llama_index/pyproject.toml +++ b/packages/aiqtoolkit_llama_index/pyproject.toml @@ -19,7 +19,7 @@ dependencies = [ # Keep package version constraints as open as possible to avoid conflicts with other packages. Always define a minimum # version when adding a new package. If unsure, default to using `~=` instead of `==`. Does not apply to aiq packages. # Keep sorted!!! - "aiqtoolkit", + "aiqtoolkit~=1.1", # We ran into pydantic validation errors with newer versions of llama-index, not sure which version introduced the # error "llama-index-core==0.12.15", diff --git a/packages/aiqtoolkit_mem0ai/pyproject.toml b/packages/aiqtoolkit_mem0ai/pyproject.toml index a27f46b31..fb5b4da2e 100644 --- a/packages/aiqtoolkit_mem0ai/pyproject.toml +++ b/packages/aiqtoolkit_mem0ai/pyproject.toml @@ -19,7 +19,7 @@ dependencies = [ # Keep package version constraints as open as possible to avoid conflicts with other packages. Always define a minimum # version when adding a new package. If unsure, default to using `~=` instead of `==`. Does not apply to aiq packages. # Keep sorted!!! - "aiqtoolkit", + "aiqtoolkit~=1.1", "mem0ai~=0.1.30", ] requires-python = ">=3.11,<3.13" diff --git a/packages/aiqtoolkit_semantic_kernel/pyproject.toml b/packages/aiqtoolkit_semantic_kernel/pyproject.toml index 682f37fd5..79027d903 100644 --- a/packages/aiqtoolkit_semantic_kernel/pyproject.toml +++ b/packages/aiqtoolkit_semantic_kernel/pyproject.toml @@ -19,7 +19,7 @@ dependencies = [ # Keep package version constraints as open as possible to avoid conflicts with other packages. Always define a minimum # version when adding a new package. If unsure, default to using `~=` instead of `==`. Does not apply to aiq packages. # Keep sorted!!! - "aiqtoolkit", + "aiqtoolkit~=1.1", "semantic-kernel~=1.24.0", ] requires-python = ">=3.11,<3.13" diff --git a/packages/aiqtoolkit_test/pyproject.toml b/packages/aiqtoolkit_test/pyproject.toml index 450824f72..d4f25d383 100644 --- a/packages/aiqtoolkit_test/pyproject.toml +++ b/packages/aiqtoolkit_test/pyproject.toml @@ -19,7 +19,7 @@ dependencies = [ # Keep package version constraints as open as possible to avoid conflicts with other packages. Always define a minimum # version when adding a new package. If unsure, default to using `~=` instead of `==`. Does not apply to aiq packages. # Keep sorted!!! - "aiqtoolkit", + "aiqtoolkit~=1.1", "pytest~=8.3", ] requires-python = ">=3.11,<3.13" diff --git a/packages/aiqtoolkit_weave/pyproject.toml b/packages/aiqtoolkit_weave/pyproject.toml index cf77f15a4..e34468f7a 100644 --- a/packages/aiqtoolkit_weave/pyproject.toml +++ b/packages/aiqtoolkit_weave/pyproject.toml @@ -19,7 +19,7 @@ dependencies = [ # Keep package version constraints as open as possible to avoid conflicts with other packages. Always define a minimum # version when adding a new package. If unsure, default to using `~=` instead of `==`. Does not apply to aiq packages. # Keep sorted!!! - "aiqtoolkit", + "aiqtoolkit~=1.1", "weave>=0.51.44" ] requires-python = ">=3.12" diff --git a/packages/aiqtoolkit_zep_cloud/pyproject.toml b/packages/aiqtoolkit_zep_cloud/pyproject.toml index 70392203d..e58bfef87 100644 --- a/packages/aiqtoolkit_zep_cloud/pyproject.toml +++ b/packages/aiqtoolkit_zep_cloud/pyproject.toml @@ -19,7 +19,7 @@ dependencies = [ # Keep package version constraints as open as possible to avoid conflicts with other packages. Always define a minimum # version when adding a new package. If unsure, default to using `~=` instead of `==`. Does not apply to aiq packages. # Keep sorted!!! - "aiqtoolkit", + "aiqtoolkit~=1.1", "zep-cloud~=2.2.0", ] requires-python = ">=3.11,<3.13" diff --git a/packages/compat/agentiq/pyproject.toml b/packages/compat/agentiq/pyproject.toml index 582717b38..74b02dc58 100644 --- a/packages/compat/agentiq/pyproject.toml +++ b/packages/compat/agentiq/pyproject.toml @@ -9,7 +9,7 @@ root = "../../.." name = "agentiq" dynamic = ["version"] dependencies = [ - "aiqtoolkit" + "aiqtoolkit~=1.1" ] readme = "pypi.md" description = "Transitional package for aiqtoolkit, this package is deprecated and will be removed in the future." diff --git a/packages/compat/agentiq_agno/pyproject.toml b/packages/compat/agentiq_agno/pyproject.toml index d12214b1e..5af93dfd6 100644 --- a/packages/compat/agentiq_agno/pyproject.toml +++ b/packages/compat/agentiq_agno/pyproject.toml @@ -10,7 +10,7 @@ root = "../../.." name = "agentiq-agno" dynamic = ["version"] dependencies = [ - "aiqtoolkit-agno" + "aiqtoolkit[agno]~=1.1" ] readme = "pypi.md" description = "Transitional package for aiqtoolkit-agno, this package is deprecated and will be removed in the future." diff --git a/packages/compat/agentiq_crewai/pyproject.toml b/packages/compat/agentiq_crewai/pyproject.toml index d0fad37f7..5c5ab018f 100644 --- a/packages/compat/agentiq_crewai/pyproject.toml +++ b/packages/compat/agentiq_crewai/pyproject.toml @@ -9,7 +9,7 @@ root = "../../.." name = "agentiq-crewai" dynamic = ["version"] dependencies = [ - "aiqtoolkit-crewai", + "aiqtoolkit[crewai]~=1.1", ] readme = "pypi.md" description = "Transitional package for aiqtoolkit-crewai, this package is deprecated and will be removed in the future." diff --git a/packages/compat/agentiq_langchain/pyproject.toml b/packages/compat/agentiq_langchain/pyproject.toml index 14be7f7ed..452826a9a 100644 --- a/packages/compat/agentiq_langchain/pyproject.toml +++ b/packages/compat/agentiq_langchain/pyproject.toml @@ -13,7 +13,7 @@ dependencies = [ # Keep package version constraints as open as possible to avoid conflicts with other packages. Always define a minimum # version when adding a new package. If unsure, default to using `~=` instead of `==`. Does not apply to aiq packages. # Keep sorted!!! - "aiqtoolkit-langchain" + "aiqtoolkit[langchain]~=1.1" ] readme = "pypi.md" description = "Transitional package for aiqtoolkit-langchain, this package is deprecated and will be removed in the future." diff --git a/packages/compat/agentiq_mem0ai/pyproject.toml b/packages/compat/agentiq_mem0ai/pyproject.toml index ff1b17442..a92910527 100644 --- a/packages/compat/agentiq_mem0ai/pyproject.toml +++ b/packages/compat/agentiq_mem0ai/pyproject.toml @@ -10,7 +10,7 @@ root = "../../.." name = "agentiq-mem0ai" dynamic = ["version"] dependencies = [ - "aiqtoolkit-mem0ai" + "aiqtoolkit[mem0ai]~=1.1" ] readme = "pypi.md" description = "Transitional package for aiqtoolkit-mem0ai, this package is deprecated and will be removed in the future." diff --git a/packages/compat/agentiq_test/pyproject.toml b/packages/compat/agentiq_test/pyproject.toml index 055bd83ea..5c5d4e409 100644 --- a/packages/compat/agentiq_test/pyproject.toml +++ b/packages/compat/agentiq_test/pyproject.toml @@ -9,7 +9,7 @@ root = "../../.." name = "agentiq-test" dynamic = ["version"] dependencies = [ - "aiqtoolkit-test" + "aiqtoolkit[test]~=1.1" ] readme = "pypi.md" description = "Transitional package for aiqtoolkit-test, this package is deprecated and will be removed in the future." diff --git a/pyproject.toml b/pyproject.toml index b7393dee5..2a7a14fff 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -141,6 +141,7 @@ dev = [ "python-docx~=1.1.0", "setuptools >= 64", "setuptools_scm>=8", + "tomlkit~=0.13.2", "twine~=6.0", "yapf==0.43.*", ] diff --git a/uv.lock b/uv.lock index 9aea5885c..5ada873c0 100644 --- a/uv.lock +++ b/uv.lock @@ -1,5 +1,4 @@ version = 1 -revision = 1 requires-python = "==3.12.*" resolution-markers = [ "python_full_version >= '3.12.4' and sys_platform == 'linux'", @@ -59,20 +58,20 @@ wheels = [ [[package]] name = "aioboto3" -version = "14.2.0" +version = "14.1.0" source = { registry = "https://pypi.org/simple" } 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Users can use this agent to chat with the profiling traces in their AgentIQ agent application and use it as an interactive profiling tool. https://github.com/user-attachments/assets/318f9a1e-fb5a-47dd-a9f4-32e088aebd51 This agent requires users to configure AgentIQ with profiling and telemetry features enabled, following [the documentation](https://docs.nvidia.com/agentiq/latest/guides/profiler.html) ## By Submitting this PR I confirm: - I am familiar with the [Contributing Guidelines](https://github.com/NVIDIA/AgentIQ/blob/develop/docs/source/advanced/contributing.md). - We require that all contributors "sign-off" on their commits. This certifies that the contribution is your original work, or you have rights to submit it under the same license, or a compatible license. - Any contribution which contains commits that are not Signed-Off will not be accepted. - When the PR is ready for review, new or existing tests cover these changes. - When the PR is ready for review, the documentation is up to date with these changes. Authors: - Zac Wang (https://github.com/zac-wang-nv) - Anuradha Karuppiah (https://github.com/AnuradhaKaruppiah) Approvers: - Anuradha Karuppiah (https://github.com/AnuradhaKaruppiah) URL: https://github.com/NVIDIA/AIQToolkit/pull/120 Signed-off-by: Yuchen Zhang --- docs/source/_static/profiler-agent.png | 3 + examples/profiler_agent/README.md | 82 + examples/profiler_agent/configs | 1 + examples/profiler_agent/pyproject.toml | 780 ++++ .../src/aiq_profiler_agent/__init__.py | 14 + .../src/aiq_profiler_agent/agent.py | 208 ++ .../src/aiq_profiler_agent/configs/config.yml | 64 + .../src/aiq_profiler_agent/data_models.py | 99 + .../src/aiq_profiler_agent/prompts.py | 50 + .../src/aiq_profiler_agent/register.py | 114 + .../src/aiq_profiler_agent/tool/__init__.py | 30 + .../src/aiq_profiler_agent/tool/flow_chart.py | 202 ++ .../src/aiq_profiler_agent/tool/px_query.py | 172 + .../tool/response_composer.py | 93 + .../aiq_profiler_agent/tool/token_usage.py | 282 ++ .../src/aiq_profiler_agent/tool/utils.py | 57 + .../tests/test_profiler_agent.py | 59 + examples/profiler_agent/tests/test_spans.csv | 20 + pyproject.toml | 4 +- uv.lock | 3151 ++++++++--------- 20 files changed, 3897 insertions(+), 1588 deletions(-) create mode 100644 docs/source/_static/profiler-agent.png create mode 100644 examples/profiler_agent/README.md create mode 120000 examples/profiler_agent/configs create mode 100644 examples/profiler_agent/pyproject.toml create mode 100644 examples/profiler_agent/src/aiq_profiler_agent/__init__.py create mode 100644 examples/profiler_agent/src/aiq_profiler_agent/agent.py create mode 100644 examples/profiler_agent/src/aiq_profiler_agent/configs/config.yml create mode 100644 examples/profiler_agent/src/aiq_profiler_agent/data_models.py create mode 100644 examples/profiler_agent/src/aiq_profiler_agent/prompts.py create mode 100644 examples/profiler_agent/src/aiq_profiler_agent/register.py create mode 100644 examples/profiler_agent/src/aiq_profiler_agent/tool/__init__.py create mode 100644 examples/profiler_agent/src/aiq_profiler_agent/tool/flow_chart.py create mode 100644 examples/profiler_agent/src/aiq_profiler_agent/tool/px_query.py create mode 100644 examples/profiler_agent/src/aiq_profiler_agent/tool/response_composer.py create mode 100644 examples/profiler_agent/src/aiq_profiler_agent/tool/token_usage.py create mode 100644 examples/profiler_agent/src/aiq_profiler_agent/tool/utils.py create mode 100644 examples/profiler_agent/tests/test_profiler_agent.py create mode 100644 examples/profiler_agent/tests/test_spans.csv diff --git a/docs/source/_static/profiler-agent.png b/docs/source/_static/profiler-agent.png new file mode 100644 index 000000000..ae03ae604 --- /dev/null +++ b/docs/source/_static/profiler-agent.png @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:3b7d8287adedc290aa47e97b0ca0674b9c28fc9d4362b2a768a4b11412cdc289 +size 123175 diff --git a/examples/profiler_agent/README.md b/examples/profiler_agent/README.md new file mode 100644 index 000000000..716849e58 --- /dev/null +++ b/examples/profiler_agent/README.md @@ -0,0 +1,82 @@ + + +# AIQ Profiler Agent + +You can talk to the traces generated by AIQ Toolkit workflows using this profiler agent example. + + +## Installation and Setup + +If you have not already done so, follow the instructions in the [Install Guide](../../docs/source/intro/install.md) to create the development environment and install AIQ Toolkit. + +### Install this Workflow: + +From the root directory of the AIQ Toolkit library, run the following commands: + +```bash +uv pip install -e examples/profiler_agent +``` + +### Set Up API Keys +If you have not already done so, follow the [Obtaining API Keys](../../docs/source/intro/get-started.md#obtaining-api-keys) instructions to obtain an NVIDIA API key. You need to set your NVIDIA API key as an environment variable to access NVIDIA AI services: + +```bash +export NVIDIA_API_KEY= +``` + +## Usage + +1. Start the Phoenix server if not already running. If you are using a remote Phoenix server, you can skip this step and modify the config/config.yml to point to the URL. +``` +docker run -p 6006:6006 -p 4317:4317 -i -t arizephoenix/phoenix:latest +``` + +2. Ensure that there are traces in the Phoenix server. You can use the simple calculator example to generate traces. +``` +aiq run --config_file examples/simple_calculator/configs/config-tracing.yml --input "Is the product of 2 * 4 greater than the current hour of the day?" +aiq run --config_file examples/simple_calculator/configs/config-tracing.yml --input "Is the product of 33 * 4 greater than the current hour of the day?" +aiq run --config_file examples/simple_calculator/configs/config-tracing.yml --input "Is the sum of 44 and 55 greater than the current hour of the day?" +aiq run --config_file examples/simple_calculator/configs/config-tracing.yml --input "Is the difference between 7 and 5 less than the current hour of the day?" +``` + +3. Run the profiler agent: + ``` + aiq serve --config_file=examples/profiler_agent/configs/config.yml + ``` + +4. Launch the AIQ Toolkit User Interface by using the instructions in the [Using AIQ Toolkit UI and Server](https://github.com/NVIDIA/aiq/blob/main/docs/source/guides/using-aiqtoolkit-ui-and-server.md) guide. + +5. Query the agent with natural language via the UI: +``` +"Show me the token usage of last run" +``` + +![Sample Response](../../docs/source/_static/profiler-agent.png "Sample Response UI Image") + +More examples: + ``` + "Show me flowchart of last 3 runs" + "Analyze the last 2 runs" + ``` + +## Features + +- Query Phoenix traces with natural language +- Analyze LLM application performance metrics +- Generate trace visualizations +- Extract user queries across trace spans diff --git a/examples/profiler_agent/configs b/examples/profiler_agent/configs new file mode 120000 index 000000000..49d0d1b76 --- /dev/null +++ b/examples/profiler_agent/configs @@ -0,0 +1 @@ +src/aiq_profiler_agent/configs/ \ No newline at end of file diff --git a/examples/profiler_agent/pyproject.toml b/examples/profiler_agent/pyproject.toml new file mode 100644 index 000000000..89ae6d344 --- /dev/null +++ b/examples/profiler_agent/pyproject.toml @@ -0,0 +1,780 @@ +[build-system] +build-backend = "setuptools.build_meta" +requires = ["setuptools >= 64", "setuptools-scm>=8"] + +[tool.setuptools_scm] +# intentionally empty, the section is required for setuptools_scm to work but we don't need to set anything +root = "../.." + +[project] +name = "aiq_profiler_agent" +dynamic = ["version"] +dependencies = [ + # Keep package version constraints as open as possible to avoid conflicts with other packages. Always define a minimum + # version when adding a new package. If unsure, default to using `~=` instead of `==`. When using `~=`, use 2 digits + # of precision in the version specifier. For example, use `~=1.2` instead of `~=1.2.3` and `~=0.1.3` instead of + # `~=0.1.3.5`. + # Keep sorted!!! + "aiqtoolkit[profiling, langchain]", + "pydantic ~= 2.10.0, <2.11.0", +] +requires-python = "==3.12.*" +description = "AIQ Toolkit Profiler Agent" +license = { file = "LICENSE.md" } +keywords = ["ai", "rag", "agents"] +classifiers = ["Programming Language :: Python"] +authors = [{ name = "NVIDIA Corporation" }] +maintainers = [{ name = "NVIDIA Corporation" }] + +[tool.uv.sources] +aiqtoolkit = { path = "../../", editable = true } + +[project.entry-points.'aiq.plugins'] +aiq_profiler_agent = "aiq_profiler_agent.register" + +[tool.ruff] +# Basic settings +line-length = 120 # Match your existing standards + +[tool.ruff.format] +# Like Black, use double quotes for strings. +quote-style = "double" + +# Like Black, indent with spaces, rather than tabs. +indent-style = "space" + +# Like Black, respect magic trailing commas. +skip-magic-trailing-comma = false + +# Like Black, automatically detect the appropriate line ending. +line-ending = "auto" + +[tool.black] +line-length = 120 + +## Pylint configuration begins here + +[tool.pylint.main] +# Analyse import fallback blocks. This can be used to support both Python 2 and 3 +# compatible code, which means that the block might have code that exists only in +# one or another interpreter, leading to false positives when analysed. +# analyse-fallback-blocks = + +# Clear in-memory caches upon conclusion of linting. Useful if running pylint in +# a server-like mode. +# clear-cache-post-run = + +# Always return a 0 (non-error) status code, even if lint errors are found. This +# is primarily useful in continuous integration scripts. +# exit-zero = + +# A comma-separated list of package or module names from where C extensions may +# be loaded. Extensions are loading into the active Python interpreter and may +# run arbitrary code. +# extension-pkg-allow-list = [] + +# A comma-separated list of package or module names from where C extensions may +# be loaded. Extensions are loading into the active Python interpreter and may +# run arbitrary code. (This is an alternative name to extension-pkg-allow-list +# for backward compatibility.) +# extension-pkg-whitelist = + +# Return non-zero exit code if any of these messages/categories are detected, +# even if score is above --fail-under value. Syntax same as enable. Messages +# specified are enabled, while categories only check already-enabled messages. +fail-on = ["deprecated-typing-alias", "consider-alternative-union-syntax"] + +# Specify a score threshold under which the program will exit with error. +fail-under = 10.0 + +# Interpret the stdin as a python script, whose filename needs to be passed as +# the module_or_package argument. +# from-stdin = + +# Files or directories to be skipped. They should be base names, not paths. +ignore = ["conf.py"] + +# Add files or directories matching the regular expressions patterns to the +# ignore-list. The regex matches against paths and can be in Posix or Windows +# format. Because '\\' represents the directory delimiter on Windows systems, it +# can't be used as an escape character. +ignore-paths = ["nv_internal/.*"] + +# Files or directories matching the regular expression patterns are skipped. The +# regex matches against base names, not paths. The default value ignores Emacs +# file locks +ignore-patterns = ["^\\.#"] + +# List of module names for which member attributes should not be checked (useful +# for modules/projects where namespaces are manipulated during runtime and thus +# existing member attributes cannot be deduced by static analysis). It supports +# qualified module names, as well as Unix pattern matching. +# ignored-modules = + +# Python code to execute, usually for sys.path manipulation such as +# pygtk.require(). +# init-hook = + +# Use multiple processes to speed up Pylint. Specifying 0 will auto-detect the +# number of processors available to use, and will cap the count on Windows to +# avoid hangs. +jobs = 0 + +# Control the amount of potential inferred values when inferring a single object. +# This can help the performance when dealing with large functions or complex, +# nested conditions. +limit-inference-results = 100 + +# List of plugins (as comma separated values of python module names) to load, +# usually to register additional checkers. +load-plugins = ["pylint.extensions.docparams", "pylint.extensions.typing"] + +# Pickle collected data for later comparisons. +persistent = true + +# Minimum Python version to use for version dependent checks. Will default to the +# version used to run pylint. +py-version = "3.12" + +# Discover python modules and packages in the file system subtree. +# recursive = + +# Add paths to the list of the source roots. Supports globbing patterns. The +# source root is an absolute path or a path relative to the current working +# directory used to determine a package namespace for modules located under the +# source root. +source-roots = ["src", "packages/*/src"] + +# When enabled, pylint would attempt to guess common misconfiguration and emit +# user-friendly hints instead of false-positive error messages. +suggestion-mode = true + +# Allow loading of arbitrary C extensions. Extensions are imported into the +# active Python interpreter and may run arbitrary code. +# unsafe-load-any-extension = + +[tool.pylint.basic] +# Naming style matching correct argument names. +argument-naming-style = "snake_case" + +# Regular expression matching correct argument names. Overrides argument-naming- +# style. If left empty, argument names will be checked with the set naming style. +# argument-rgx = + +# Naming style matching correct attribute names. +attr-naming-style = "snake_case" + +# Regular expression matching correct attribute names. Overrides attr-naming- +# style. If left empty, attribute names will be checked with the set naming +# style. +# attr-rgx = + +# Bad variable names which should always be refused, separated by a comma. +bad-names = ["foo", "bar", "baz", "toto", "tutu", "tata"] + +# Bad variable names regexes, separated by a comma. If names match any regex, +# they will always be refused +# bad-names-rgxs = + +# Naming style matching correct class attribute names. +class-attribute-naming-style = "any" + +# Regular expression matching correct class attribute names. Overrides class- +# attribute-naming-style. If left empty, class attribute names will be checked +# with the set naming style. +# class-attribute-rgx = + +# Naming style matching correct class constant names. +class-const-naming-style = "UPPER_CASE" + +# Regular expression matching correct class constant names. Overrides class- +# const-naming-style. If left empty, class constant names will be checked with +# the set naming style. +# class-const-rgx = + +# Naming style matching correct class names. +class-naming-style = "PascalCase" + +# Regular expression matching correct class names. Overrides class-naming-style. +# If left empty, class names will be checked with the set naming style. +# class-rgx = + +# Naming style matching correct constant names. +const-naming-style = "UPPER_CASE" + +# Regular expression matching correct constant names. Overrides const-naming- +# style. If left empty, constant names will be checked with the set naming style. +# const-rgx = + +# Minimum line length for functions/classes that require docstrings, shorter ones +# are exempt. +docstring-min-length = -1 + +# Naming style matching correct function names. +function-naming-style = "snake_case" + +# Regular expression matching correct function names. Overrides function-naming- +# style. If left empty, function names will be checked with the set naming style. +# function-rgx = + +# Good variable names which should always be accepted, separated by a comma. +good-names = [ + "_", + "ae", + "df", + "e", + "ex", + "f", + "fh", + "fn", + "i", + "ip", + "j", + "k", + "Run", + "ts", + "x", + "X", + "y", + "Y", +] + +# Good variable names regexes, separated by a comma. If names match any regex, +# they will always be accepted +# good-names-rgxs = + +# Include a hint for the correct naming format with invalid-name. +include-naming-hint = true + +# Naming style matching correct inline iteration names. +inlinevar-naming-style = "any" + +# Regular expression matching correct inline iteration names. Overrides +# inlinevar-naming-style. If left empty, inline iteration names will be checked +# with the set naming style. +# inlinevar-rgx = + +# Naming style matching correct method names. +method-naming-style = "snake_case" + +# Regular expression matching correct method names. Overrides method-naming- +# style. If left empty, method names will be checked with the set naming style. +# method-rgx = + +# Naming style matching correct module names. +module-naming-style = "snake_case" + +# Regular expression matching correct module names. Overrides module-naming- +# style. If left empty, module names will be checked with the set naming style. +# module-rgx = + +# Colon-delimited sets of names that determine each other's naming style when the +# name regexes allow several styles. +# name-group = + +# Regular expression which should only match function or class names that do not +# require a docstring. +no-docstring-rgx = "^_" + +# List of decorators that produce properties, such as abc.abstractproperty. Add +# to this list to register other decorators that produce valid properties. These +# decorators are taken in consideration only for invalid-name. +property-classes = ["abc.abstractproperty"] + +# Regular expression matching correct type alias names. If left empty, type alias +# names will be checked with the set naming style. +# typealias-rgx = + +# Regular expression matching correct type variable names. If left empty, type +# variable names will be checked with the set naming style. +# typevar-rgx = + +# Naming style matching correct variable names. +variable-naming-style = "snake_case" + +# Regular expression matching correct variable names. Overrides variable-naming- +# style. If left empty, variable names will be checked with the set naming style. +# variable-rgx = + +[tool.pylint.classes] +# Warn about protected attribute access inside special methods +# check-protected-access-in-special-methods = + +# List of method names used to declare (i.e. assign) instance attributes. +defining-attr-methods = ["__init__", "__new__", "setUp", "__post_init__"] + +# List of member names, which should be excluded from the protected access +# warning. +exclude-protected = ["_asdict", "_fields", "_replace", "_source", "_make"] + +# List of valid names for the first argument in a class method. +valid-classmethod-first-arg = ["cls"] + +# List of valid names for the first argument in a metaclass class method. +valid-metaclass-classmethod-first-arg = ["cls"] + +[tool.pylint.design] +# List of regular expressions of class ancestor names to ignore when counting +# public methods (see R0903) +# exclude-too-few-public-methods = + +# List of qualified class names to ignore when counting class parents (see R0901) +# ignored-parents = + +# Maximum number of arguments for function / method. +max-args = 5 + +# Maximum number of attributes for a class (see R0902). +max-attributes = 7 + +# Maximum number of boolean expressions in an if statement (see R0916). +max-bool-expr = 5 + +# Maximum number of branch for function / method body. +max-branches = 12 + +# Maximum number of locals for function / method body. +max-locals = 15 + +# Maximum number of parents for a class (see R0901). +max-parents = 7 + +# Maximum number of public methods for a class (see R0904). +max-public-methods = 20 + +# Maximum number of return / yield for function / method body. +max-returns = 6 + +# Maximum number of statements in function / method body. +max-statements = 50 + +# Minimum number of public methods for a class (see R0903). +min-public-methods = 2 + +[tool.pylint.exceptions] +# Exceptions that will emit a warning when caught. +overgeneral-exceptions = ["builtins.BaseException", "builtins.Exception"] + +[tool.pylint.format] +# Expected format of line ending, e.g. empty (any line ending), LF or CRLF. +# expected-line-ending-format = + +# Regexp for a line that is allowed to be longer than the limit. +ignore-long-lines = "^\\s*(# )??$" + +# Number of spaces of indent required inside a hanging or continued line. +indent-after-paren = 4 + +# String used as indentation unit. This is usually " " (4 spaces) or "\t" (1 +# tab). +indent-string = " " + +# Maximum number of characters on a single line. +max-line-length = 120 + +# Maximum number of lines in a module. +max-module-lines = 1000 + +# Allow the body of a class to be on the same line as the declaration if body +# contains single statement. +# single-line-class-stmt = + +# Allow the body of an if to be on the same line as the test if there is no else. +# single-line-if-stmt = + +[tool.pylint.imports] +# List of modules that can be imported at any level, not just the top level one. +# allow-any-import-level = + +# Allow explicit reexports by alias from a package __init__. +# allow-reexport-from-package = + +# Allow wildcard imports from modules that define __all__. +# allow-wildcard-with-all = + +# Deprecated modules which should not be used, separated by a comma. +# deprecated-modules = + +# Output a graph (.gv or any supported image format) of external dependencies to +# the given file (report RP0402 must not be disabled). +# ext-import-graph = + +# Output a graph (.gv or any supported image format) of all (i.e. internal and +# external) dependencies to the given file (report RP0402 must not be disabled). +# import-graph = + +# Output a graph (.gv or any supported image format) of internal dependencies to +# the given file (report RP0402 must not be disabled). +# int-import-graph = + +# Force import order to recognize a module as part of the standard compatibility +# libraries. +# known-standard-library = + +# Force import order to recognize a module as part of a third party library. +known-third-party = ["enchant"] + +# Couples of modules and preferred modules, separated by a comma. +# preferred-modules = + +[tool.pylint.logging] +# The type of string formatting that logging methods do. `old` means using % +# formatting, `new` is for `{}` formatting. +logging-format-style = "old" + +# Logging modules to check that the string format arguments are in logging +# function parameter format. +logging-modules = ["logging"] + +[tool.pylint."messages control"] +# Only show warnings with the listed confidence levels. Leave empty to show all. +# Valid levels: HIGH, CONTROL_FLOW, INFERENCE, INFERENCE_FAILURE, UNDEFINED. +confidence = [ + "HIGH", + "CONTROL_FLOW", + "INFERENCE", + "INFERENCE_FAILURE", + "UNDEFINED", +] + +# Disable the message, report, category or checker with the given id(s). You can +# either give multiple identifiers separated by comma (,) or put this option +# multiple times (only on the command line, not in the configuration file where +# it should appear only once). You can also use "--disable=all" to disable +# everything first and then re-enable specific checks. For example, if you want +# to run only the similarities checker, you can use "--disable=all +# --enable=similarities". If you want to run only the classes checker, but have +# no Warning level messages displayed, use "--disable=all --enable=classes +# --disable=W". +disable = [ + "bad-inline-option", + "broad-exception-caught", # Allow catching base Exception class + "deprecated-pragma", + "duplicate-code", # This is too restrictive for our codebase + "file-ignored", + "import-error", # pylint gets confused by tests for our examples + "import-outside-toplevel", # Allow lazy imports inside of methods + "locally-disabled", + "missing-class-docstring", + "missing-function-docstring", + "missing-module-docstring", + "protected-access", + "raw-checker-failed", + "superfluous-parens", + "suppressed-message", + "too-few-public-methods", # Disable all the "too-*" checks, as they are too strict for our codebase + "too-many-arguments", + "too-many-branches", + "too-many-instance-attributes", + "too-many-lines", + "too-many-locals", + "too-many-nested-blocks", + "too-many-positional-arguments", + "too-many-return-statements", + "too-many-statements", + "unnecessary-lambda", # We pass lambdas around a lot, so this is not useful + "unnecessary-pass", # Allow empty classes/methods with only a `pass` statement in the body + "unused-argument", # Allow unused arguments in functions for rapid prototyping (delete after initial AgentIQ prototype) + "use-symbolic-message-instead", + "useless-suppression", + "wrong-import-order", # pylint mistakenly thinks that the test utils are third party, and we have isort for this +] + +# Enable the message, report, category or checker with the given id(s). You can +# either give multiple identifier separated by comma (,) or put this option +# multiple time (only on the command line, not in the configuration file where it +# should appear only once). See also the "--disable" option for examples. +enable = ["c-extension-no-member"] + +[tool.pylint.method_args] +# List of qualified names (i.e., library.method) which require a timeout +# parameter e.g. 'requests.api.get,requests.api.post' +timeout-methods = [ + "requests.api.delete", + "requests.api.get", + "requests.api.head", + "requests.api.options", + "requests.api.patch", + "requests.api.post", + "requests.api.put", + "requests.api.request", +] + +[tool.pylint.miscellaneous] +# List of note tags to take in consideration, separated by a comma. +notes = ["FIXME", "XXX", "TODO"] + +# Regular expression of note tags to take in consideration. +# notes-rgx = + +[tool.pylint.parameter_documentation] +# Whether to accept totally missing parameter documentation in the docstring of a +# function that has parameters. +accept-no-param-doc = true + +# Whether to accept totally missing raises documentation in the docstring of a +# function that raises an exception. +accept-no-raise-doc = true + +# Whether to accept totally missing return documentation in the docstring of a +# function that returns a statement. +accept-no-return-doc = true + +# Whether to accept totally missing yields documentation in the docstring of a +# generator. +accept-no-yields-doc = true + +# If the docstring type cannot be guessed the specified docstring type will be +# used. +default-docstring-type = "default" + +[tool.pylint.refactoring] +# Maximum number of nested blocks for function / method body +max-nested-blocks = 5 + +# Complete name of functions that never returns. When checking for inconsistent- +# return-statements if a never returning function is called then it will be +# considered as an explicit return statement and no message will be printed. +never-returning-functions = ["sys.exit", "argparse.parse_error"] + +[tool.pylint.reports] +# Python expression which should return a score less than or equal to 10. You +# have access to the variables 'fatal', 'error', 'warning', 'refactor', +# 'convention', and 'info' which contain the number of messages in each category, +# as well as 'statement' which is the total number of statements analyzed. This +# score is used by the global evaluation report (RP0004). +evaluation = "max(0, 0 if fatal else 10.0 - ((float(5 * error + warning + refactor + convention) / statement) * 10))" + +# Template used to display messages. This is a python new-style format string +# used to format the message information. See doc for all details. +# msg-template = + +# Set the output format. Available formats are text, parseable, colorized, json +# and msvs (visual studio). You can also give a reporter class, e.g. +# mypackage.mymodule.MyReporterClass. +# output-format = + +# Tells whether to display a full report or only the messages. +# reports = + +# Activate the evaluation score. +score = true + +[tool.pylint.similarities] +# Comments are removed from the similarity computation +ignore-comments = true + +# Docstrings are removed from the similarity computation +ignore-docstrings = true + +# Imports are removed from the similarity computation +ignore-imports = true + +# Signatures are removed from the similarity computation +ignore-signatures = true + +# Minimum lines number of a similarity. +min-similarity-lines = 4 + +[tool.pylint.spelling] +# Limits count of emitted suggestions for spelling mistakes. +max-spelling-suggestions = 4 + +# Spelling dictionary name. No available dictionaries : You need to install both +# the python package and the system dependency for enchant to work.. +# spelling-dict = + +# List of comma separated words that should be considered directives if they +# appear at the beginning of a comment and should not be checked. +spelling-ignore-comment-directives = "fmt: on,fmt: off,noqa:,noqa,nosec,isort:skip,mypy:" + +# List of comma separated words that should not be checked. +# spelling-ignore-words = + +# A path to a file that contains the private dictionary; one word per line. +# spelling-private-dict-file = + +# Tells whether to store unknown words to the private dictionary (see the +# --spelling-private-dict-file option) instead of raising a message. +# spelling-store-unknown-words = + +[tool.pylint.typecheck] +# List of decorators that produce context managers, such as +# contextlib.contextmanager. Add to this list to register other decorators that +# produce valid context managers. +contextmanager-decorators = [ + "contextlib.contextmanager", + "register_embedder", + "register_function", + "register_llm", + "register_memory_client", +] + +# List of members which are set dynamically and missed by pylint inference +# system, and so shouldn't trigger E1101 when accessed. Python regular +# expressions are accepted. + +# Add pytorch & dgl members to the list of dynamically set members. Only until pylint 3.0 supports pyi files +# generated-members = "" + +# Tells whether missing members accessed in mixin class should be ignored. A +# class is considered mixin if its name matches the mixin-class-rgx option. +# Tells whether to warn about missing members when the owner of the attribute is +# inferred to be None. +ignore-none = true + +# This flag controls whether pylint should warn about no-member and similar +# checks whenever an opaque object is returned when inferring. The inference can +# return multiple potential results while evaluating a Python object, but some +# branches might not be evaluated, which results in partial inference. In that +# case, it might be useful to still emit no-member and other checks for the rest +# of the inferred objects. +ignore-on-opaque-inference = true + +# List of symbolic message names to ignore for Mixin members. +ignored-checks-for-mixins = [ + "no-member", + "not-async-context-manager", + "not-context-manager", + "attribute-defined-outside-init", +] + +# List of class names for which member attributes should not be checked (useful +# for classes with dynamically set attributes). This supports the use of +# qualified names. +ignored-classes = [ + "optparse.Values", + "thread._local", + "_thread._local", + "argparse.Namespace", +] + +# Show a hint with possible names when a member name was not found. The aspect of +# finding the hint is based on edit distance. +missing-member-hint = true + +# The minimum edit distance a name should have in order to be considered a +# similar match for a missing member name. +missing-member-hint-distance = 1 + +# The total number of similar names that should be taken in consideration when +# showing a hint for a missing member. +missing-member-max-choices = 1 + +# Regex pattern to define which classes are considered mixins. +mixin-class-rgx = ".*[Mm]ixin" + +# List of decorators that change the signature of a decorated function. +signature-mutators = [ + 'click.decorators.option', + 'click.decorators.argument', + 'click.decorators.version_option', + 'click.decorators.help_option', + 'click.decorators.pass_context', + 'click.decorators.confirmation_option', +] + +[tool.pylint.variables] +# List of additional names supposed to be defined in builtins. Remember that you +# should avoid defining new builtins when possible. +# additional-builtins = + +# Tells whether unused global variables should be treated as a violation. +allow-global-unused-variables = true + +# List of names allowed to shadow builtins +# allowed-redefined-builtins = + +# List of strings which can identify a callback function by name. A callback name +# must start or end with one of those strings. +callbacks = ["cb_", "_cb"] + +# A regular expression matching the name of dummy variables (i.e. expected to not +# be used). +dummy-variables-rgx = "_+$|(_[a-zA-Z0-9_]*[a-zA-Z0-9]+?$)|dummy|^ignored_|^unused_" + +# Argument names that match this expression will be ignored. +ignored-argument-names = "_.*|^ignored_|^unused_" + +# Tells whether we should check for unused import in __init__ files. +# init-import = + +# List of qualified module names which can have objects that can redefine +# builtins. +redefining-builtins-modules = [ + "six.moves", + "past.builtins", + "future.builtins", + "builtins", + "io", +] + + +# ===== isort Config ===== +[tool.isort] +line_length = 120 +multi_line_output = 3 +include_trailing_comma = true +force_grid_wrap = 0 +combine_as_imports = true +order_by_type = true +force_single_line = true +default_section = "THIRDPARTY" +src_paths = ["examples", "packages/**/src", "src", "tests"] +skip = [ + "__init__.py", + ".eggs", + ".git", + ".hg", + ".mypy_cache", + ".tmp", + ".tox", + ".venv", + "buck-out", + "build", + "dist", + "models", + "thirdparty", +] +known_first_party = ["aiq"] +# Need to declare known third party for namespace packages which have the same name +known_third_party = ["langchain", "llama_index", "crewai", "semantic_kernel", "mem0ai", "zep_cloud"] +namespace_packages = ["aiq", "aiq.plugins"] + +[tool.flake8] +filename = ["*.py"] + +max-line-length = 120 +max-doc-length = 120 + +extend-ignore = [ + # Ignore missing docstrings __init__ methods as we document those on the class + "D107", + # Don't require quotes to be placed on the same line as a one-line docstring, useful when the docstring is close + # to the line limit + "D200", + # Allow a blank line between a docstring and the code + "D202", + # D204: 1 blank line required after class docstring + "D204", + # D205: 1 blank line required between summary line and description (allow for a paragraph) + "D205", + # D400: First line should end with a period (only works if we're adhering to D205) + "D400", + # D401: First line should be in imperative mood + "D401", +] + +# ===== yapf Config ===== +[tool.yapf] +based_on_style = "pep8" +column_limit = 120 +split_all_top_level_comma_separated_values = true +join_multiple_lines = true +indent_dictionary_value = true + + +# ===== pyright Config ===== +[tool.pyright] +deprecateTypingAliases = true +reportInvalidTypeForm = "warning" diff --git a/examples/profiler_agent/src/aiq_profiler_agent/__init__.py b/examples/profiler_agent/src/aiq_profiler_agent/__init__.py new file mode 100644 index 000000000..cf7c586a5 --- /dev/null +++ b/examples/profiler_agent/src/aiq_profiler_agent/__init__.py @@ -0,0 +1,14 @@ +# SPDX-FileCopyrightText: Copyright (c) 2025, NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. diff --git a/examples/profiler_agent/src/aiq_profiler_agent/agent.py b/examples/profiler_agent/src/aiq_profiler_agent/agent.py new file mode 100644 index 000000000..9eedbd999 --- /dev/null +++ b/examples/profiler_agent/src/aiq_profiler_agent/agent.py @@ -0,0 +1,208 @@ +# SPDX-FileCopyrightText: Copyright (c) 2025, NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import logging +import uuid +from typing import Any +from typing import TypedDict + +from aiq_profiler_agent.data_models import ExecPlan +from aiq_profiler_agent.data_models import TraceInfo +from aiq_profiler_agent.tool.flow_chart import FlowChartOutput +from aiq_profiler_agent.tool.px_query import PxQueryOutput +from aiq_profiler_agent.tool.token_usage import TokenUsageOutput +from langchain_core.language_models import BaseChatModel +from langchain_core.messages import AIMessage +from langchain_core.messages import BaseMessage +from langchain_core.messages import HumanMessage +from langchain_core.messages import ToolMessage +from langchain_core.output_parsers import PydanticOutputParser +from langchain_core.runnables import RunnableConfig +from langchain_core.tools import BaseTool +from langgraph.graph import StateGraph + +logger = logging.getLogger(__name__) + + +class ProfilerAgentState(TypedDict): + """State for the ProfilerAgent.""" + + exec_plan: ExecPlan + messages: list[BaseMessage] + df_path: str | None = None + trace_infos: dict[str, TraceInfo] | None = None + end_condition: bool = False + retry_count: int = 0 + user_query: str | None = None + + +class ProfilerAgent: + """Agent for profiling LLM traces.""" + + def __init__( + self, + llm: BaseChatModel, + tools: dict[str, BaseTool], + response_composer_tool: BaseTool, + detailed_logs: bool = False, + max_retries: int = 3, + retry_prompt: str = "", + ): + self.llm = llm + self.detailed_logs = detailed_logs + self.tools = tools + self.callbacks = [] + self.max_retries = max_retries + self.retry_prompt = retry_prompt + # pydantic parser + self.output_parser = PydanticOutputParser(pydantic_object=ExecPlan) + self.response_composer = response_composer_tool + self.graph = None + logger.info("ProfilerAgent initialized") + + async def conditional_edge(self, state: ProfilerAgentState): + try: + logger.debug("Starting the Tool Calling Conditional Edge") + if "exec_plan" in state and len(state["exec_plan"].tools) > 0: + return "executor" + else: + return "response_composer" + except Exception as ex: + if "retry_count" in state and state["retry_count"] >= self.max_retries: + logger.warning("Max retries reached, returning without meaningful output") + state["messages"].append(AIMessage(content="No meaningful output, please try again with another query")) + return "__end__" + else: + state.setdefault("retry_count", 1) + logger.warning( + "Error in the conditional edge: %s, retrying %d times out of %d", + ex, + state["retry_count"], + self.max_retries, + ) + return "agent" + + async def build_graph(self): + try: + logger.debug("Building and compiling the Agent Graph") + graph = StateGraph(ProfilerAgentState) + graph.add_node("agent", self.agent_node) + graph.add_node("response_composer", self.response_composer_node) + graph.add_node("executor", self.executor_node) + graph.add_conditional_edges( + "agent", + self.conditional_edge, + ) + graph.add_conditional_edges( + "executor", + self.conditional_edge, + ) + graph.set_entry_point("agent") + graph.set_finish_point("response_composer") + self.graph = graph.compile() + logger.info("ProfilerAgent Graph built and compiled successfully") + return self.graph + except Exception as ex: + logger.exception("Failed to build ProfilerAgent Graph: %s", ex, exc_info=ex) + raise ex + + async def agent_node(self, state: ProfilerAgentState): + try: + logger.debug("Starting Agent Node") + logger.info("Calling agent to plan the execution") + if len(state["messages"]) == 0: + raise RuntimeError('No input received in state: "messages"') + + response = await self.llm.ainvoke(state["messages"], config=RunnableConfig(callbacks=self.callbacks)) + if self.detailed_logs: + logger.debug("The agent's input was:\n%s", state["messages"]) + logger.debug("The agent's output is:\n%s", response) + # parse the response to get the exec_plan + try: + exec_plan = self.output_parser.parse(response.content) + logger.info("Agent planned the execution: %s", exec_plan) + state["exec_plan"] = exec_plan + except Exception as ex: + logger.warning("Failed to parse the agent's output: %s", response.content) + state.setdefault("retry_count", 0) + message = self.retry_prompt.format(error=ex, output_parser=self.output_parser.get_format_instructions()) + state["messages"].append(HumanMessage(content=message)) + return state + except Exception as ex: + logger.exception("Failed to call agent_node: %s", ex, exc_info=True) + raise ex + + async def executor_node(self, state: ProfilerAgentState): + # check if the tool is px_query + try: + if state["exec_plan"].tools[0] == "px_query": + query_result = await self.tools["px_query"].ainvoke(input={**state["exec_plan"].model_dump()}) + self.update_state(state, query_result) + state["exec_plan"].tools.popleft() + else: + tool_name = state["exec_plan"].tools.popleft() + tool_result = await self.tools[tool_name].ainvoke(input={"df_path": state["df_path"]}) + self.update_state(state, tool_result) + except Exception as ex: + logger.exception("Failed to call executor_node: %s", ex, exc_info=True) + raise ex + return state + + async def response_composer_node(self, state: ProfilerAgentState): + try: + if len(state["trace_infos"]) == 0: + state["messages"].append(HumanMessage(content="No traces retrieved. Exiting...")) + else: + tool_response = await self.response_composer.ainvoke(input={"trace_infos": state["trace_infos"]}) + self.update_state(state, tool_response) + return state + except Exception as ex: + logger.exception("Failed to call response_composer_node: %s", ex, exc_info=True) + raise ex + + def update_state(self, state: ProfilerAgentState, tool_response: Any) -> ProfilerAgentState: + """Update the state with the tool response.""" + match tool_response: + case PxQueryOutput(): + state["df_path"] = tool_response.df_path + for trace_id, user_query in tool_response.user_queries.items(): + state["trace_infos"].setdefault(trace_id, TraceInfo()).user_query = user_query + state["messages"].append( + HumanMessage(content=f"PxQuery returned a PxDataFrame with {tool_response.row_count} rows" + f"you can use it to analyze the traces by calling tools, you can omit the " + f"dataframe parameter in tool calls, it will be automatically added. " + f"Don't call px_query tool again! " + f"You should call all analysis tools unless user specifies otherwise.")) + + case FlowChartOutput(): + # update the trace_infos with the flow chart + for trace_id, flow_info in tool_response.trace_id_to_flow_info.items(): + state["trace_infos"].setdefault(trace_id, TraceInfo()).flow_info = flow_info + num_traces = len(tool_response.trace_id_to_flow_info) + state["messages"].append( + HumanMessage(content=f"FlowChartOutput returned a FlowChartOutput with {num_traces} traces")) + case TokenUsageOutput(): + # update the trace_infos with the token usage + for trace_id, token_usage in tool_response.trace_id_to_token_usage.items(): + state["trace_infos"].setdefault(trace_id, TraceInfo()).token_usage_info = token_usage + state["messages"].append( + HumanMessage(content=f"TokenUsageOutput returned a TokenUsageOutput with " + f"{len(tool_response.trace_id_to_token_usage)} traces")) + case str(): + state["messages"].append(ToolMessage(content=tool_response, tool_call_id=uuid.uuid4())) + case _: + raise ValueError(f"Unsupported tool response type: {type(tool_response)}") + + return state diff --git a/examples/profiler_agent/src/aiq_profiler_agent/configs/config.yml b/examples/profiler_agent/src/aiq_profiler_agent/configs/config.yml new file mode 100644 index 000000000..a148256cd --- /dev/null +++ b/examples/profiler_agent/src/aiq_profiler_agent/configs/config.yml @@ -0,0 +1,64 @@ +# SPDX-FileCopyrightText: Copyright (c) 2024-2025, NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +general: + use_uvloop: true + tracing: + phoenix: + _type: phoenix + endpoint: http://localhost:6006/v1/traces + project: profiler_agent + + +functions: + px_query: + _type: px_query + phoenix_url: http://localhost:6006 + time_window_seconds: 600000 + flow_chart: + _type: flow_chart + token_usage: + _type: token_usage + # response_composer is used as the final step of the ReWOO agent + response_composer: + _type: response_composer + +llms: + nim_llm: + _type: nim + model_name: meta/llama-3.3-70b-instruct + temperature: 0.0 + max_tokens: 250 + openai_llm: + _type: openai + model_name: gpt-4o + temperature: 0.0 + qwq_32b: + _type: nim + model_name: qwen/qwq-32b + temperature: 0.0 + nemotron_49b: + _type: nim + model_name: nvidia/llama-3.3-nemotron-super-49b-v1 + temperature: 0.0 + +workflow: + _type: profiler_agent + llm_name: nim_llm + max_retries: 3 + max_iterations: 4 + tools: + - px_query + - flow_chart + - token_usage \ No newline at end of file diff --git a/examples/profiler_agent/src/aiq_profiler_agent/data_models.py b/examples/profiler_agent/src/aiq_profiler_agent/data_models.py new file mode 100644 index 000000000..ccc99a576 --- /dev/null +++ b/examples/profiler_agent/src/aiq_profiler_agent/data_models.py @@ -0,0 +1,99 @@ +# SPDX-FileCopyrightText: Copyright (c) 2025, NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +from collections import deque +from datetime import datetime + +import pandas as pd +from pydantic import BaseModel +from pydantic import Field + + +class ExecPlan(BaseModel): + """The execution plan of the trace.""" + + tools: deque[str] = Field( + ..., + description="The tools to be used to answer the user query," + "you should only include the exact names of each tool", + ) + + start_time: datetime | None = Field( + None, + description="The start time to apply to the dataframe. leave blank for last-n queries", + ) + end_time: datetime = Field( + ..., + description="The end time to apply to the dataframe. for last-n queries, use the current datetime", + ) + last_n: int | None = Field( + None, + description="The number of traces to return. for queries of a specific time range, use None. " + "If user ask about the last run, then use 1", + ) + project_name: str = Field( + "default", + description="The project name to apply to the dataframe, if not provided, use 'default'", + ) + + +class TraceFlowInfo(BaseModel): + """Information about a trace.""" + + start_time: datetime = Field(..., description="The start time of the trace") + end_time: datetime = Field(..., description="The end time of the trace") + flow_chart_path: str = Field("", description="The path to the flow chart of the trace") + + +class TokenUsageInfo(BaseModel): + """Information about the token usage of a trace.""" + + total_tokens: int = Field(..., description="The total number of tokens in the trace") + total_prompt_tokens: int = Field(..., description="The total number of prompt tokens in the trace") + total_completion_tokens: int = Field(..., description="The total number of completion tokens in the trace") + token_usage_detail_chart_path: str | None = Field( + ..., + description="The path to the token usage detail chart of the trace, " + "if the trace doesn't call LLM, this field will be None", + ) + average_token_per_second: float = Field(..., description="The average token price per second in the trace") + + +class PxDataFrame(BaseModel): + """Output parameters model for Phoenix server queries.""" + + data: list[dict] = Field( + ..., + description="The dataframe recordsof LLM traces.", + ) + index: list[str] = Field( + ..., + description="The index of the dataframe.", + ) + columns: list[str] = Field( + ..., + description="The columns of the dataframe.", + ) + + def to_df(self) -> pd.DataFrame: + return pd.DataFrame(self.data, index=self.index, columns=self.columns) + + +class TraceInfo(BaseModel): + """Information about a trace.""" + + flow_info: TraceFlowInfo | None = Field(None, description="The flow chart of the trace.") + token_usage_info: TokenUsageInfo | None = Field(None, description="The token usage of the trace.") + user_query: str | None = Field(None, description="The user query to the agent") diff --git a/examples/profiler_agent/src/aiq_profiler_agent/prompts.py b/examples/profiler_agent/src/aiq_profiler_agent/prompts.py new file mode 100644 index 000000000..996ac0ef8 --- /dev/null +++ b/examples/profiler_agent/src/aiq_profiler_agent/prompts.py @@ -0,0 +1,50 @@ +# SPDX-FileCopyrightText: Copyright (c) 2025, NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +RETRY_PROMPT = """ +{error} + +IMPORTANT REMINDER: +1. Your response must ONLY contain a valid JSON object +2. DO NOT include any explanation text before or after the JSON +3. Make sure the 'tools' field is a list of strings in the exact order they should be executed +4. Include px_query first. + +EXPECTED FORMAT: +{output_parser} +""" + +SYSTEM_PROMPT = """ +You are a helpful assistant that analyzes LLM traces from Phoenix server. + +IMPORTANT: You MUST ONLY return a valid JSON object matching the format below. +Do not include any explanations or text outside the JSON. + +Based on the user query, create an execution plan: +1. First determine which tools to use from: {tools} +2. Create a list of these tools in the exact order to execute them + +Your response MUST follow these strict requirements: +- You MUST use px_query tool FIRST +- You SHOULD use each tool at most once +- For queries not specifying tools, use all available tools +- Start time and end time should be in ISO format (YYYY-MM-DD HH:MM:SS) + +RESPONSE FORMAT: +{output_parser} + +USER QUERY: {query} +CURRENT TIME: {current_time} +""" diff --git a/examples/profiler_agent/src/aiq_profiler_agent/register.py b/examples/profiler_agent/src/aiq_profiler_agent/register.py new file mode 100644 index 000000000..c3386a031 --- /dev/null +++ b/examples/profiler_agent/src/aiq_profiler_agent/register.py @@ -0,0 +1,114 @@ +# SPDX-FileCopyrightText: Copyright (c) 2025, NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import logging +from datetime import datetime + +from aiq_profiler_agent.agent import ProfilerAgent +from aiq_profiler_agent.agent import ProfilerAgentState +from aiq_profiler_agent.data_models import ExecPlan +from aiq_profiler_agent.prompts import RETRY_PROMPT +from aiq_profiler_agent.prompts import SYSTEM_PROMPT +from aiq_profiler_agent.tool import flow_chart # noqa: F401 +from pydantic import Field + +from aiq.builder.builder import Builder +from aiq.builder.framework_enum import LLMFrameworkEnum +from aiq.builder.function_info import FunctionInfo +from aiq.cli.register_workflow import register_function +from aiq.data_models.component_ref import LLMRef +from aiq.data_models.function import FunctionBaseConfig + +logger = logging.getLogger(__name__) + + +class ProfilerAgentConfig(FunctionBaseConfig, name="profiler_agent"): + """ + Profiler agent config + """ + + llm_name: LLMRef = Field(..., description="The LLM to use for the profiler agent") + max_iterations: int = Field(..., description="The maximum number of iterations for the profiler agent") + tools: list[str] = Field(..., description="The tools to use for the profiler agent") + + sys_prompt: str = Field( + SYSTEM_PROMPT, + description="The prompt to use for the PxQuery tool.", + ) + + retry_prompt: str = Field( + RETRY_PROMPT, + description="Prompt to use when retrying after parser failure", + ) + + max_retries: int = Field( + ..., + description="The maximum number of retries for the profiler agent", + ) + + +@register_function(config_type=ProfilerAgentConfig, framework_wrappers=[LLMFrameworkEnum.LANGCHAIN]) +async def profiler_agent(config: ProfilerAgentConfig, builder: Builder): + """ + Profiler agent that uses Phoenix to analyze LLM telemetry data + This agent retrieves LLM telemetry data using Phoenix's Client API + and analyzes the data to provide insights about LLM usage, performance, + and issues. + """ + from langchain_core.messages import SystemMessage + from langchain_core.output_parsers import PydanticOutputParser + from langchain_core.prompts import PromptTemplate + from langgraph.graph.graph import CompiledGraph + + # Create the agent executor + tools = builder.get_tools(tool_names=config.tools, wrapper_type=LLMFrameworkEnum.LANGCHAIN) + llm = await builder.get_llm(config.llm_name, wrapper_type=LLMFrameworkEnum.LANGCHAIN) + output_parser = PydanticOutputParser(pydantic_object=ExecPlan) + tools_dict = {tool.name: tool for tool in tools} + graph: CompiledGraph = await ProfilerAgent( + llm=llm, + tools=tools_dict, + response_composer_tool=builder.get_tool("response_composer", wrapper_type=LLMFrameworkEnum.LANGCHAIN), + detailed_logs=True, + max_retries=config.max_retries, + retry_prompt=config.retry_prompt, + ).build_graph() + + async def _profiler_agent(input_message: str) -> str: + """ + Profiler agent that uses Phoenix to analyze LLM telemetry data + """ + current_time = datetime.now().strftime("%Y-%m-%d %H:%M:%S") + prompt = PromptTemplate( + template=config.sys_prompt, + input_variables=["query"], + partial_variables={ + "current_time": current_time, + "output_parser": output_parser.get_format_instructions(), + "tools": "\n".join([f"- {tool.name}: {tool.description}" for tool in tools]), + }, + ) + + state = ProfilerAgentState(messages=[SystemMessage(content=prompt.format(query=input_message))], trace_infos={}) + state = await graph.ainvoke(state, config={"recursion_limit": (config.max_iterations + 1) * 2}) + return state["messages"][-1].content + + try: + yield FunctionInfo.create(single_fn=_profiler_agent) + except Exception as e: + logger.error("Error in profiler agent, exit early", exc_info=True) + raise e + finally: + logger.info("Profiler agent finished") diff --git a/examples/profiler_agent/src/aiq_profiler_agent/tool/__init__.py b/examples/profiler_agent/src/aiq_profiler_agent/tool/__init__.py new file mode 100644 index 000000000..94ff3a540 --- /dev/null +++ b/examples/profiler_agent/src/aiq_profiler_agent/tool/__init__.py @@ -0,0 +1,30 @@ +# SPDX-FileCopyrightText: Copyright (c) 2025, NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +from .flow_chart import FlowChartConfig, flow_chart +from .px_query import PxQueryConfig, px_query +from .response_composer import ResponseComposerConfig, response_composer +from .token_usage import TokenUsageConfig, token_usage + +__all__ = [ + "PxQueryConfig", + "px_query", + "FlowChartConfig", + "flow_chart", + "ResponseComposerConfig", + "response_composer", + "TokenUsageConfig", + "token_usage", +] diff --git a/examples/profiler_agent/src/aiq_profiler_agent/tool/flow_chart.py b/examples/profiler_agent/src/aiq_profiler_agent/tool/flow_chart.py new file mode 100644 index 000000000..d2e2c1372 --- /dev/null +++ b/examples/profiler_agent/src/aiq_profiler_agent/tool/flow_chart.py @@ -0,0 +1,202 @@ +# SPDX-FileCopyrightText: Copyright (c) 2025, NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import io +import logging +import os +import tempfile +import uuid + +import matplotlib.pyplot as plt +import pandas as pd +from aiq_profiler_agent.data_models import TraceFlowInfo +from matplotlib.patches import Patch +from pydantic import BaseModel +from pydantic import Field + +from aiq.builder.builder import Builder +from aiq.builder.function_info import FunctionInfo +from aiq.cli.register_workflow import register_function +from aiq.data_models.function import FunctionBaseConfig + +logger = logging.getLogger(__name__) + + +class FlowChartConfig(FunctionBaseConfig, name="flow_chart"): + """Configuration for the FlowChart tool.""" + + pass + + +class FlowChartOutput(BaseModel): + """Output parameters model for the flow chart.""" + + trace_id_to_flow_info: dict[str, TraceFlowInfo] = Field( + ..., + description="A mapping from trace id to the flow chart info", + ) + + +# Add a new input model that works with a file path +class FlowChartInput(BaseModel): + """Input parameters model for the flow chart tool.""" + + df_path: str = Field(..., description="Path to the CSV file containing the dataframe") + + +@register_function(config_type=FlowChartConfig) +async def flow_chart(config: FlowChartConfig, builder: Builder): + """Generate a flow chart for the given LLM traces.""" + temp_dir = tempfile.mkdtemp(prefix="flow_chart_") + + async def _create_flow_chart(input_obj: FlowChartInput) -> FlowChartOutput: + """Create a flow chart for the given LLM traces. + + Args: + input_obj: Contains the path to the CSV file with the dataframe + Returns: + A dictionary containing a mapping from trace id to the flow chart info. + """ + # Load dataframe from CSV file + if not os.path.exists(input_obj.df_path): + raise ValueError(f"Dataframe file not found: {input_obj.df_path}") + + try: + df = pd.read_csv(input_obj.df_path) + + # Convert string timestamp columns to datetime + timestamp_columns = ["start_time", "end_time"] + for col in timestamp_columns: + if col in df.columns and df[col].dtype == "object": + df[col] = pd.to_datetime(df[col]) + + logger.info("Successfully loaded dataframe from %s with %d rows", input_obj.df_path, len(df)) + except Exception as e: + logger.error("Error loading dataframe from CSV: %s", e) + raise ValueError(f"Failed to load dataframe from {input_obj.df_path}: {e}") from e + + # Group by trace_id + grouped_traces = df.groupby("context.trace_id") + logger.info("Found %d different traces", len(grouped_traces)) + charts = {} + for trace_id, trace_df in grouped_traces: + charts[trace_id] = create_trace_flow_diagram(trace_df, temp_dir) + return FlowChartOutput(trace_id_to_flow_info=charts) + + try: + yield FunctionInfo.create( + single_fn=_create_flow_chart, + description="Create a flow chart for the given LLM traces.", + input_schema=FlowChartInput, + single_output_schema=FlowChartOutput, + ) + except Exception as e: + logger.error("Error in flow_chart tool: %s", e, exc_info=True) + raise e + finally: + # clean up temp directory + import shutil + + if os.path.exists(temp_dir): + shutil.rmtree(temp_dir) + + +def create_trace_flow_diagram(df: pd.DataFrame, temp_dir: str) -> TraceFlowInfo: + """ + Create a simple flow diagram visualization + Each span is plotted separately regardless of name. + """ + # Sort by start_time + df = df.sort_values("start_time") + + # Calculate seconds from start + min_time = df["start_time"].min() + df["start_seconds"] = (df["start_time"] - min_time).dt.total_seconds() + df["end_seconds"] = (df["end_time"] - min_time).dt.total_seconds() + df["duration"] = df["end_seconds"] - df["start_seconds"] + # Filter out spans with very short durations (less than 0.02 seconds) + + df = df[df["span_kind"] != "UNKNOWN"] + # Create figure + _, ax = plt.subplots(figsize=(14, 10)) + + # Define colors for different span kinds + colors = {"LLM": "skyblue", "CHAIN": "lightgreen", "TOOL": "orange"} + + # Create a vertical timeline with connections + y_positions = {} + max_x = 0 + + # First pass: determine y positions for each span + for i, (_, row) in enumerate(df.iterrows()): + span_id = row["context.span_id"] + y_positions[span_id] = i + + # Second pass: draw boxes and connections + for i, (_, row) in enumerate(df.iterrows()): + span_id = row["context.span_id"] + span_kind = row["span_kind"] + name = row["name"] + x_start = row["start_seconds"] + x_end = row["end_seconds"] + max_x = max(max_x, x_end) + + # Draw span box + color = colors.get(span_kind, "lightgray") + rect = plt.Rectangle((x_start, 0.5 * i - 0.2), x_end - x_start, 0.4, color=color, alpha=0.8, edgecolor="black") + + ax.add_patch(rect) + + # Add label + duration_text = f"{row['duration']:.2f}s" + if i == 0: + txt = f"{name}: {row['user_query']}\n{row['start_time'].strftime('%Y-%m-%d %H:%M:%S')}\n{duration_text}" + else: + txt = f"{name}\n{duration_text}" + ax.text(x_start + (x_end - x_start) / 2, 0.5 * i - 0.05, txt, ha="center", va="center", fontsize=12) + + # Set y-axis ticks (no labels to avoid clutter) + ax.set_yticks([]) + + # Set x-axis limits and labels + ax.set_xlim(-1, max_x + 1) + ax.set_ylim(-1, len(df)) + ax.set_xlabel("Time (seconds from start)") + + # Add grid for better readability + ax.grid(axis="x", linestyle="--", alpha=0.6) + + # Add title + ax.set_title("Trace Flow Diagram") + + # Create legend handles (these won't be drawn on the plot) + legend_handles = [Patch(color=color, label=kind) for kind, color in colors.items()] + + # Add the legend using handles + ax.legend(handles=legend_handles, loc="upper right") + + plt.tight_layout() + # Convert the plot to a base64 image + buf = io.BytesIO() + plt.savefig(buf, format="png") + buf.seek(0) + image_path = os.path.join(temp_dir, f"flow_chart_{uuid.uuid4().hex}.png") + with open(image_path, "wb") as f: + f.write(buf.getvalue()) + return TraceFlowInfo( + start_time=df["start_time"].iloc[0], + end_time=df["end_time"].iloc[-1], + flow_chart_path=image_path, + ) diff --git a/examples/profiler_agent/src/aiq_profiler_agent/tool/px_query.py b/examples/profiler_agent/src/aiq_profiler_agent/tool/px_query.py new file mode 100644 index 000000000..72d524a57 --- /dev/null +++ b/examples/profiler_agent/src/aiq_profiler_agent/tool/px_query.py @@ -0,0 +1,172 @@ +# SPDX-FileCopyrightText: Copyright (c) 2025, NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import logging +import os +import tempfile +import uuid +from datetime import datetime + +from aiq_profiler_agent.tool.utils import first_valid_query +from pydantic import BaseModel +from pydantic import Field + +from aiq.builder.builder import Builder +from aiq.builder.function_info import FunctionInfo +from aiq.cli.register_workflow import register_function +from aiq.data_models.function import FunctionBaseConfig + +logger = logging.getLogger(__name__) + + +class PxQueryConfig(FunctionBaseConfig, name="px_query"): + """Configuration for the PxQuery tool.""" + + phoenix_url: str = Field( + ..., + description="The URL of the Phoenix server.", + ) + time_window_seconds: int = Field( + 600, + description="The time window in seconds for each trace, used for last-n queries", + ) + + +class PxQueryOutput(BaseModel): + """Output parameters model for the Phoenix query.""" + + df_path: str | None = Field(None, description="Path to the CSV file containing the dataframe") + row_count: int = Field(..., description="Number of rows in the dataframe") + user_queries: dict[str, str] = Field( + default_factory=dict, + description="A mapping from trace id to the user query", + ) + + +class PxQueryInput(BaseModel): + """Input parameters model for Phoenix server queries.""" + + # not used for now, we will filter the dataframe in the tool + # filter_conditions: list[str] | None = Field( + # None, + # description="The filter conditions to apply to the dataframe.", + # ) + start_time: datetime | None = Field( + None, + description="The start time to apply to the dataframe. leave blank for last-n queries", + ) + end_time: datetime = Field( + ..., + description="The end time to apply to the dataframe. for last-n queries, use the current datetime", + ) + last_n: int | None = Field( + None, + description="The number of traces to return. for queries of a specific time range, use None. " + "If user ask about the last run, then use 1", + ) + project_name: str = Field( + "default", + description="The project name to apply to the dataframe, if not provided, use 'default'", + ) + + +def get_px_client(config: PxQueryConfig): + """Get the Phoenix client.""" + import phoenix as px + + return px.Client(endpoint=config.phoenix_url) + + +@register_function(config_type=PxQueryConfig) +async def px_query(config: PxQueryConfig, builder: Builder): + """Query the Phoenix server for a dataframe of LLM traces""" + + px_client = get_px_client(config) + # Create a temporary directory for storing CSV files + temp_dir = tempfile.mkdtemp(prefix="px_query_") + logger.info("Created temporary directory for px_query: %s", temp_dir) + + async def _query_phoenix(px_api_input: PxQueryInput) -> PxQueryOutput: + """Takes the user query and calls the Phoenix server to get the dataframe of LLM traces. + + Args: + query (PxQueryInput): The user query to query the Phoenix server + user can provide the project name, otherwise it will use the default project name. + user can also provide the time range of the traces, or last n traces. + + Returns: + PxQueryOutput: Contains the path to the CSV file with the dataframe. + """ + logger.info( + "Querying Phoenix server at %s, with user query: %s", + config.phoenix_url, + px_api_input, + ) + + logger.info("Phoenix query px_api_input: %s", px_api_input) + logger.info("Querying Phoenix server for traces between %s and %s", + px_api_input.start_time, + px_api_input.end_time) + + # filter out last n traces based, sorted by start time + if px_api_input.last_n: + df = px_client.get_spans_dataframe(project_name=px_api_input.project_name, ) + trace_latest_times = (df.groupby("context.trace_id")["start_time"].min().sort_values( + ascending=False).reset_index()) + if len(trace_latest_times) < px_api_input.last_n: + logger.warning( + "Not enough traces found in the time range %s to %s", + px_api_input.start_time, + px_api_input.end_time, + ) + raise ValueError( + f"Not enough traces found in the time range {px_api_input.start_time} to {px_api_input.end_time}") + last_n_trace_ids = trace_latest_times.head(px_api_input.last_n)["context.trace_id"].tolist() + df = df[df["context.trace_id"].isin(last_n_trace_ids)] + logger.info("Filtered dataframe to last %d traces", px_api_input.last_n) + else: + df = px_client.get_spans_dataframe( + project_name=px_api_input.project_name, + start_time=px_api_input.start_time, + end_time=px_api_input.end_time, + ) + + if len(df) == 0: + logger.warning("No traces found in the time range %s to %s", px_api_input.start_time, px_api_input.end_time) + raise ValueError(f"No traces found in the time range {px_api_input.start_time} to {px_api_input.end_time}") + + # Save the dataframe to a CSV file + df_path = os.path.join(temp_dir, f"px_query_{uuid.uuid4().hex}.csv") + # First, extract user query from each span + # Then, apply first_valid_query for each trace ID to fill in None values + valid_queries = df.groupby("context.trace_id")["attributes.input.value"].apply(first_valid_query).to_dict() + # Apply the valid queries back to the dataframe + df["user_query"] = df["context.trace_id"].map(valid_queries) + + df.to_csv(df_path, index=False) + logger.info("Saved dataframe to %s with %d rows", df_path, len(df)) + + return PxQueryOutput(df_path=df_path, row_count=len(df), user_queries=valid_queries) + + yield FunctionInfo.create( + single_fn=_query_phoenix, + description="Query the Phoenix server for a dataframe of LLM traces, run this tool before other tools", + input_schema=PxQueryInput, + single_output_schema=PxQueryOutput, + ) + # clear the temporary directory + import shutil + + shutil.rmtree(temp_dir) diff --git a/examples/profiler_agent/src/aiq_profiler_agent/tool/response_composer.py b/examples/profiler_agent/src/aiq_profiler_agent/tool/response_composer.py new file mode 100644 index 000000000..77b81e1f1 --- /dev/null +++ b/examples/profiler_agent/src/aiq_profiler_agent/tool/response_composer.py @@ -0,0 +1,93 @@ +# SPDX-FileCopyrightText: Copyright (c) 2025, NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +import base64 +import logging + +from aiq_profiler_agent.data_models import TraceInfo +from pydantic import BaseModel +from pydantic import Field + +from aiq.builder.builder import Builder +from aiq.builder.function_info import FunctionInfo +from aiq.cli.register_workflow import register_function +from aiq.data_models.function import FunctionBaseConfig + +logger = logging.getLogger(__name__) + + +class ResponseComposerConfig(FunctionBaseConfig, name="response_composer"): + """Configuration for the ResponseComposer tool.""" + + pass + + +class ResponseComposerInput(BaseModel): + """Input parameters model for the ResponseComposer tool.""" + + trace_infos: dict[str, TraceInfo] = Field( + ..., + description="The trace infos for the traces that user want to analyze.", + ) + + +@register_function(config_type=ResponseComposerConfig) +async def response_composer(config: ResponseComposerConfig, builder: Builder): + """ + Compose a response from the given LLM traces. + """ + + async def _compose_response(input_obj: ResponseComposerInput) -> str: + """ + Compose a response from the given LLM traces. + """ + ret = "" + + # Add individual trace details + for trace_id in input_obj.trace_infos: + ret += f"Trace id: {trace_id}:

" + ret += f"User query: {input_obj.trace_infos[trace_id].user_query}

" + if input_obj.trace_infos[trace_id].flow_info and input_obj.trace_infos[trace_id].flow_info.flow_chart_path: + with open(input_obj.trace_infos[trace_id].flow_info.flow_chart_path, "rb") as image_file: + image_data = image_file.read() + image_data_base64 = base64.b64encode(image_data).decode("utf-8") + ret += f"Start time: {input_obj.trace_infos[trace_id].flow_info.start_time}

" + ret += f"End time: {input_obj.trace_infos[trace_id].flow_info.end_time}

" + duration = (input_obj.trace_infos[trace_id].flow_info.end_time - + input_obj.trace_infos[trace_id].flow_info.start_time) + ret += f"Duration: {duration}

" + ret += f"Flow chart:

![image.jpeg](data:image/jpeg;base64,{image_data_base64})

" + if (input_obj.trace_infos[trace_id].token_usage_info + and input_obj.trace_infos[trace_id].token_usage_info.token_usage_detail_chart_path): + with open(input_obj.trace_infos[trace_id].token_usage_info.token_usage_detail_chart_path, + "rb") as image_file: + image_data = image_file.read() + image_data_base64 = base64.b64encode(image_data).decode("utf-8") + ret += "Total prompt tokens: " + ret += f"{input_obj.trace_infos[trace_id].token_usage_info.total_prompt_tokens}

" + ret += "Total completion tokens: " + ret += f"{input_obj.trace_infos[trace_id].token_usage_info.total_completion_tokens}

" + ret += "Total tokens: " + ret += f"{input_obj.trace_infos[trace_id].token_usage_info.total_tokens}

" + ret += "Token usage: " + ret += f"

![image.jpeg](data:image/jpeg;base64,{image_data_base64})

" + + # Clean up the temporary directory + return ret + + yield FunctionInfo.create( + single_fn=_compose_response, + description="Compose a response from the given LLM traces.", + input_schema=ResponseComposerInput, + ) diff --git a/examples/profiler_agent/src/aiq_profiler_agent/tool/token_usage.py b/examples/profiler_agent/src/aiq_profiler_agent/tool/token_usage.py new file mode 100644 index 000000000..c2c2bbbf0 --- /dev/null +++ b/examples/profiler_agent/src/aiq_profiler_agent/tool/token_usage.py @@ -0,0 +1,282 @@ +# SPDX-FileCopyrightText: Copyright (c) 2025, NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import logging +import os +import tempfile +import uuid + +import matplotlib.pyplot as plt +import numpy as np +import pandas as pd +from aiq_profiler_agent.data_models import TokenUsageInfo +from pydantic import BaseModel +from pydantic import Field + +from aiq.builder.builder import Builder +from aiq.builder.function_info import FunctionInfo +from aiq.cli.register_workflow import register_function +from aiq.data_models.function import FunctionBaseConfig + +logger = logging.getLogger(__name__) + + +class TokenUsageConfig(FunctionBaseConfig, name="token_usage"): + """Configuration for the TokenUsage tool.""" + + pass + + +class TokenUsageOutput(BaseModel): + """Output parameters model for the token usage.""" + + trace_id_to_token_usage: dict[str, TokenUsageInfo] = Field( + ..., + description="A mapping from trace id to the token usage info", + ) + + +class TokenUsageInput(BaseModel): + """Input parameters model for the token usage tool.""" + + df_path: str = Field(..., description="Path to the CSV file containing the dataframe") + + +@register_function(config_type=TokenUsageConfig) +async def token_usage(config: TokenUsageConfig, builder: Builder): + """Generate a token usage chart for the given LLM traces.""" + temp_dir = tempfile.mkdtemp(prefix="token_usage_") + + async def _create_token_usage(input_obj: TokenUsageInput) -> TokenUsageOutput: + """ + Create a token usage chart for the given LLM traces. + + Args: + input_obj: Contains the path to the CSV file with the dataframe + Returns: + A dictionary containing a mapping from trace id to the token usage info. + """ + # Load dataframe from CSV file + if not os.path.exists(input_obj.df_path): + raise ValueError(f"Dataframe file not found: {input_obj.df_path}") + + try: + df = pd.read_csv(input_obj.df_path) + + # Convert string timestamp columns to datetime + timestamp_columns = ["start_time", "end_time"] + for col in timestamp_columns: + if col in df.columns and df[col].dtype == "object": + df[col] = pd.to_datetime(df[col]) + + logger.info("Successfully loaded dataframe from %s with %d rows", input_obj.df_path, len(df)) + except Exception as e: + logger.error("Error loading dataframe from CSV: %s", e) + raise ValueError(f"Failed to load dataframe from {input_obj.df_path}: {e}") from e + + # Group by trace_id + grouped_traces = df.groupby("context.trace_id") + logger.info("Found %d different traces", len(grouped_traces)) + token_usage_results = {} + + for trace_id, trace_df in grouped_traces: + token_usage_results[trace_id] = create_token_usage_chart(trace_df, temp_dir) + + return TokenUsageOutput(trace_id_to_token_usage=token_usage_results) + + try: + yield FunctionInfo.create( + single_fn=_create_token_usage, + description="Create a token usage chart for the given LLM traces.", + input_schema=TokenUsageInput, + single_output_schema=TokenUsageOutput, + ) + except Exception as e: + logger.error("Error in token_usage tool: %s", e, exc_info=True) + raise e + finally: + # We won't clean up temp_dir here since the image paths will be needed later + pass + + +def create_token_usage_chart(df: pd.DataFrame, temp_dir: str) -> TokenUsageInfo: + """ + Create a bar chart showing token usage for LLM calls. + + Args: + df: Dataframe containing the trace data + temp_dir: Directory to save the chart image + + Returns: + TokenUsageInfo object with chart path and metrics + """ + # Filter for only LLM spans + llm_df = df[df["span_kind"] == "LLM"].copy() + llm_df.dropna(subset=["attributes.llm.token_count.prompt", "attributes.llm.token_count.completion"], inplace=True) + + # Generate a unique filename for the chart + chart_filename = f"token_usage_{uuid.uuid4().hex}.png" + chart_path = os.path.join(temp_dir, chart_filename) + + if llm_df.empty: + logger.warning("No LLM calls found in the trace") + # Create an empty chart if no LLM calls found + + return TokenUsageInfo( + total_tokens=0, + total_prompt_tokens=0, + total_completion_tokens=0, + token_usage_detail_chart_path=None, + average_token_per_second=0.0, + ) + + # Sort by start time + llm_df = llm_df.sort_values("start_time") + + # Prepare data for plotting + llm_names = llm_df["name"].tolist() + + # Handle missing token count columns + prompt_tokens = [] + completion_tokens = [] + total_tokens = [] + + for _, row in llm_df.iterrows(): + prompt = row.get("attributes.llm.token_count.prompt", 0) + completion = row.get("attributes.llm.token_count.completion", 0) + total = row.get("attributes.llm.token_count.total", 0) + + # If any are NaN or None, handle accordingly + prompt = 0 if pd.isna(prompt) else int(prompt) + completion = 0 if pd.isna(completion) else int(completion) + total = 0 if pd.isna(total) else int(total) + + # If total is missing but we have prompt and completion, calculate it + if total == 0 and (prompt > 0 or completion > 0): + total = prompt + completion + + # If we have total but missing prompt or completion, estimate + if total > 0: + if prompt == 0 and completion > 0: + prompt = total - completion + elif completion == 0 and prompt > 0: + completion = total - prompt + + prompt_tokens.append(prompt) + completion_tokens.append(completion) + total_tokens.append(total) + + # Calculate token generation speed + durations = [] + tokens_per_second = [] + + for i, row in llm_df.iterrows(): + duration = (row["end_time"] - row["start_time"]).total_seconds() + durations.append(duration) + + # Only calculate for completion tokens + completion = completion_tokens[llm_df.index.get_loc(i)] + if duration > 0 and completion > 0: + tokens_per_second.append(completion / duration) + else: + tokens_per_second.append(0) + + # Set up the figure and axes for token counts + fig, ax = plt.subplots(figsize=(14, 8)) + + # Bar positions + x = np.arange(len(llm_names)) + width = 0.2 # Make bars even narrower to fit four bars + + # Scale tokens per second to be visible alongside token counts + # Find an appropriate scaling factor + max_token_count = max(max(prompt_tokens or [0]), max(completion_tokens or [0]), max(total_tokens or [0])) + max_tps = max(tokens_per_second or [0]) + scaling_factor = max_token_count / max(max_tps, 1) * 0.8 # Scale tokens/sec to be visible but not dominate + + scaled_tokens_per_second = [tps * scaling_factor for tps in tokens_per_second] + + # Add name index to each LLM call for clarity + labeled_names = [f"{i + 1}. {name}" for i, name in enumerate(llm_names)] + + # Plot bars + bars1 = ax.bar(x - width * 1.5, prompt_tokens, width, label="Prompt Tokens", color="skyblue") + bars2 = ax.bar(x - width * 0.5, completion_tokens, width, label="Completion Tokens", color="lightgreen") + bars3 = ax.bar(x + width * 0.5, total_tokens, width, label="Total Tokens", color="orange", alpha=0.8) + bars4 = ax.bar(x + width * 1.5, scaled_tokens_per_second, width, label="Tokens/Sec", color="red", alpha=0.7) + + # Add token count labels on bars + def add_labels(bars, values=None, format_str="{:.0f}"): + for i, bar in enumerate(bars): + height = bar.get_height() + if height > 0: + # Use original values for tokens/sec display + display_value = values[i] if values is not None else height + ax.annotate( + format_str.format(display_value), + xy=(bar.get_x() + bar.get_width() / 2, height), + xytext=(0, 3), # 3 points vertical offset + textcoords="offset points", + ha="center", + va="bottom", + fontsize=9, + ) + + add_labels(bars1) + add_labels(bars2) + add_labels(bars3) + # For tokens/sec, use original unscaled values with 2 decimal places + add_labels(bars4, tokens_per_second, "{:.2f}") + + # Configure axes + ax.set_ylabel("Token Count") + ax.set_title("LLM Token Usage and Generation Speed by Call") + ax.set_xticks(x) + ax.set_xticklabels(labeled_names, rotation=45, ha="right") + ax.legend() + + # Add a second y-axis for tokens/sec for reference + ax2 = ax.twinx() + ax2.set_ylabel("Tokens per Second") + # Set y-limits based on the scaling + ax2.set_ylim(0, ax.get_ylim()[1] / scaling_factor) + + # Add grid and adjust layout + ax.grid(axis="y", linestyle="--", alpha=0.7) + plt.tight_layout() + + # Calculate summary metrics + total_prompt_sum = sum(prompt_tokens) + total_completion_sum = sum(completion_tokens) + total_tokens_sum = sum(total_tokens) + + # Calculate average tokens per second + total_duration = sum(durations) + avg_tokens_per_second = sum(completion_tokens) / total_duration if total_duration > 0 else 0 + + # Save the chart to disk + plt.savefig(chart_path) + plt.close(fig) + + logger.info("Saved token usage chart to %s", chart_path) + + # Create and return TokenUsageInfo + return TokenUsageInfo( + total_tokens=total_tokens_sum, + total_prompt_tokens=total_prompt_sum, + total_completion_tokens=total_completion_sum, + token_usage_detail_chart_path=chart_path, + average_token_per_second=avg_tokens_per_second, + ) diff --git a/examples/profiler_agent/src/aiq_profiler_agent/tool/utils.py b/examples/profiler_agent/src/aiq_profiler_agent/tool/utils.py new file mode 100644 index 000000000..48fdabd81 --- /dev/null +++ b/examples/profiler_agent/src/aiq_profiler_agent/tool/utils.py @@ -0,0 +1,57 @@ +# SPDX-FileCopyrightText: Copyright (c) 2025, NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import json +import logging + +import pandas as pd + +logger = logging.getLogger(__name__) + + +def first_valid_query(series): + # Apply extract_user_query to each value + extracted_values = series.apply(extract_user_query) + + # Return the first non-None result + # If there are multiple non-None results, return the first one + # Otherwise, we return the trace_id instead. + non_none_results = extracted_values.dropna() + if not non_none_results.empty: + return non_none_results.iloc[0] + + return None + + +def extract_user_query(input_value): + if pd.isna(input_value): + return None + try: + # Try to parse as JSON + data = json.loads(input_value.replace('""', '"')) + if isinstance(data, list): + for item in data: + if isinstance(item, dict) and item.get("type") == "human": + content = item.get("content", "") + # Extract the actual query which is often at the end + return content.strip() + return input_value[:20] + "..." + elif isinstance(data, dict) and "input_message" in data: + return data.get("input_message") + else: + return input_value[:20] + "..." + except Exception as e: + logger.warning("Error extracting user query: %s", e) + return input_value[:20] + "..." diff --git a/examples/profiler_agent/tests/test_profiler_agent.py b/examples/profiler_agent/tests/test_profiler_agent.py new file mode 100644 index 000000000..87be2fd83 --- /dev/null +++ b/examples/profiler_agent/tests/test_profiler_agent.py @@ -0,0 +1,59 @@ +# SPDX-FileCopyrightText: Copyright (c) 2025, NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import logging +from pathlib import Path + +import pytest + +try: + from aiq_profiler_agent.tool.flow_chart import FlowChartConfig + from aiq_profiler_agent.tool.token_usage import TokenUsageConfig + PROFILER_AGENT_AVAILABLE = True +except ImportError: + PROFILER_AGENT_AVAILABLE = False + +from aiq.builder.framework_enum import LLMFrameworkEnum +from aiq.builder.workflow_builder import WorkflowBuilder + +logger = logging.getLogger(__name__) + + +# To run this test, a phoenix server must be running. +# The phoenix server can be started by running the following command: +# docker run -p 6006:6006 -p 4317:4317 arizephoenix/phoenix:latest +@pytest.mark.skipif(not PROFILER_AGENT_AVAILABLE, reason="aiq_profiler_agent is not installed") +async def test_flow_chart_tool(): + async with WorkflowBuilder() as builder: + await builder.add_function("flow_chart", FlowChartConfig()) + flow_chart_tool = builder.get_tool("flow_chart", wrapper_type=LLMFrameworkEnum.LANGCHAIN) + data_path = Path(__file__).parent / "test_spans.csv" + result = await flow_chart_tool.ainvoke(input={"df_path": str(data_path)}) + assert len(result.trace_id_to_flow_info) == 1 + flow_info = result.trace_id_to_flow_info.popitem()[1] + assert flow_info.flow_chart_path is not None and Path(flow_info.flow_chart_path).exists() + + +@pytest.mark.skipif(not PROFILER_AGENT_AVAILABLE, reason="aiq_profiler_agent is not installed") +async def test_token_usage_tool(): + async with WorkflowBuilder() as builder: + await builder.add_function("token_usage", TokenUsageConfig()) + token_usage_tool = builder.get_tool("token_usage", wrapper_type=LLMFrameworkEnum.LANGCHAIN) + data_path = Path(__file__).parent / "test_spans.csv" + result = await token_usage_tool.ainvoke(input={"df_path": str(data_path)}) + assert len(result.trace_id_to_token_usage) == 1 + token_usage_info = result.trace_id_to_token_usage.popitem()[1] + assert (token_usage_info.token_usage_detail_chart_path is not None + and Path(token_usage_info.token_usage_detail_chart_path).exists()) diff --git a/examples/profiler_agent/tests/test_spans.csv b/examples/profiler_agent/tests/test_spans.csv new file mode 100644 index 000000000..1f362dd20 --- /dev/null +++ b/examples/profiler_agent/tests/test_spans.csv @@ -0,0 +1,20 @@ +,context.span_id,name,span_kind,parent_id,start_time,end_time,status_code,status_message,events,context.span_id.1,context.trace_id,attributes.aiq,attributes.input.mime_type,attributes.llm.token_count.prompt,attributes.llm.token_count.total,attributes.input.value,attributes.llm.token_count.completion,attributes.openinference.span.kind,attributes.output.value,user_query +131,e3592b5ee119d644,nvdev/meta/llama-3.1-70b-instruct,LLM,cb405989d62a93a8,2025-04-02 00:35:34.896725+00:00,2025-04-02 00:35:37.845184+00:00,UNSET,,[],e3592b5ee119d644,26d6fc206f5744616c4e6ee94d1f2634,"{'framework': 'langchain', 'function': {'name': 'cv_3d_agent', 'id': 'bf4c183b-83e4-4e43-a10d-d04a814d4ee9'}, 'usage': {'seconds_between_calls': 0, 'num_llm_calls': 0}, 'event_timestamp': 1743554134.896725, 'subspan': {'name': 'nvdev/meta/llama-3.1-70b-instruct'}, 'event_type': 'LLM_START'}",application/json,491.0,505.0,"[{""content"":""You must respond only in JSON format."",""additional_kwargs"":{},""response_metadata"":{},""type"":""system"",""name"":null,""id"":null},{""content"":""\nYou are an intelligent assistant that responds strictly in JSON format. Make a categorization on whether the user's query is a space-estimation query or a metrics query or a safety query. The query type can be one of the following: - \""space-estimation\"" - \""metrics\"" - \""safety\"" - \""unknown\"" You must response with only one of these four strings. Only select unknown if the query does not fit into space-estimation, metrics or safety queries.\nSpace-estimation queries ask about: - Fitting a pallet - Free space - Utilization metrics (non-average) - Previous state of warehouse Space-estimation examples: - Where can I fit a pallet? - How many extra pallets can we fit in buffer zone 1? - How many pallets could fit 10 minutes ago? - What is the utilization of buffer zone 1? - What is the quality of storage in buffer zone 1? - Show me a visualization of all free spaces - How much free space was in buffer zone 3 at 10 am yesterday?\nMetrics queries ask about: - Object counts (ex. Person, Box, Pallet) - Data over a duration of time - Metric averages (ex. avgUtilizableFreeSpace, avgSpaceUtilization, avgSpaceOccupied, avgTotalSpace, avgFreeSpaceQuality, avgNumExtraPallets, avgFreeSpace) Metrics examples: - Show me the average space utilization over the last 10 minutes - How many pallets were in storage zone 1 5 hours ago? - Show a chart with the people counts from 1-2pm today\nSafety queries ask about: - Safety/violation details - Getting a visualization of safety Safety examples: - Show the recent safety violations - Show me the safety violations 10 minutes ago\nGenerate a JSON object with the following fields: - \""query_type\"": A string of the type of query\n\n\nThe output should be a markdown code snippet formatted in the following schema, including the leading and trailing \""```json\"" and \""```\"":\n\n```json\n{\n\t\""query_type\"": string // A string of the type of query\n}\n```\n\nHere is the user's query: Show a chart with pallet counts from 1-2pm today in buffer zone 2\n"",""additional_kwargs"":{},""response_metadata"":{},""type"":""human"",""name"":null,""id"":null,""example"":false}]",14.0,LLM,"```json +{ + ""query_type"": ""metrics"" +} +```",Show a chart with pallet counts from 1-2pm today in buffer zone 2 +132,cb405989d62a93a8,Llama 3.3-70B NIM,UNKNOWN,53ec4b79b001349e,2025-04-02 00:35:34.895107+00:00,2025-04-02 00:35:37.845579+00:00,UNSET,,[],cb405989d62a93a8,26d6fc206f5744616c4e6ee94d1f2634,"{'framework': 'unknown', 'function': {'name': 'cv_3d_agent', 'id': 'bf4c183b-83e4-4e43-a10d-d04a814d4ee9'}, 'event_timestamp': 1743554134.895107, 'subspan': {'name': 'Llama 3.3-70B NIM'}, 'event_type': 'CUSTOM_START'}",,,,,,UNKNOWN,{'query_type': 'metrics'},Show a chart with pallet counts from 1-2pm today in buffer zone 2 +133,ff7f4b45f8221ecc,nvdev/meta/llama-3.1-70b-instruct,LLM,861661fb212df489,2025-04-02 00:35:37.846242+00:00,2025-04-02 00:35:41.703389+00:00,UNSET,,[],ff7f4b45f8221ecc,26d6fc206f5744616c4e6ee94d1f2634,"{'framework': 'langchain', 'function': {'name': 'metrics_agent', 'id': '811f15a0-6ee8-43a1-9797-0cba79066311'}, 'usage': {'seconds_between_calls': 0, 'num_llm_calls': 0}, 'event_timestamp': 1743554137.846242, 'subspan': {'name': 'nvdev/meta/llama-3.1-70b-instruct'}, 'event_type': 'LLM_START'}",application/json,455.0,513.0,"[{""content"":""You must respond only in JSON format."",""additional_kwargs"":{},""response_metadata"":{},""type"":""system"",""name"":null,""id"":null},{""content"":""You are an intelligent assistant that responds strictly in JSON format. Rules: - endpoint_type must be one of the following: [roi, fov, space-utilization]. - Choose space-utilization if the user mentions available space, average spatial metrics, space utilization, or any space related keywords - Choose roi if the user asks about counts (ex. people, transporters, pallets) if and only if user asks for particular buffer zone(s) - Choose fov if the user asks about counts if the user does not specify buffer zones or is asking about the warehouse in general. - Both timestamp strings must be in ISO timestamp format (example: 2025-02-20T10:00:00.000Z). from_timestamp if not given must be calculated based on user query. - If user does not provide a time, assume they are asking about the current timestamp. - When interpreting words such as, 'now', 'today', 'yesterday', 'last week', etc. use the provided current timestamp as point of reference. - Whenever user gives any time or date, convert that into ISO timestamp format. If year is not mentioned, use current year. Be precise up to milliseconds. - Treat phrases like \""last event\"" as \""most recent event\"".\n\nCurrent timestamp: 2025-04-01T19:35:37.845Z\nThe output should be a markdown code snippet formatted in the following schema, including the leading and trailing \""```json\"" and \""```\"":\n\n```json\n{\n\t\""endpoint_type\"": string // Type of data that will be fetched from data endpoint. Ex. 'space-utilization'.\n\t\""from_timestamp\"": string // From timestamp (ISO 8601 format). Ex. '2025-03-01T20:46:13.879Z'\n\t\""to_timestamp\"": string // To timestamp (ISO 8601 format). Ex. '2025-03-01T20:56:13.879Z'\n}\n```\nHere is the user's query: Show a chart with pallet counts from 1-2pm today in buffer zone 2"",""additional_kwargs"":{},""response_metadata"":{},""type"":""human"",""name"":null,""id"":null,""example"":false}]",58.0,LLM,"```json +{ + ""endpoint_type"": ""roi"", + ""from_timestamp"": ""2025-04-01T13:00:00.000Z"", + ""to_timestamp"": ""2025-04-01T14:00:00.000Z"" +} +```",Show a chart with pallet counts from 1-2pm today in buffer zone 2 +134,861661fb212df489,nim_llm,UNKNOWN,02e986f0f8e3690f,2025-04-02 00:35:37.846019+00:00,2025-04-02 00:35:41.706287+00:00,UNSET,,[],861661fb212df489,26d6fc206f5744616c4e6ee94d1f2634,"{'framework': 'unknown', 'function': {'name': 'metrics_agent', 'id': '811f15a0-6ee8-43a1-9797-0cba79066311'}, 'event_timestamp': 1743554137.846019, 'subspan': {'name': 'nim_llm'}, 'event_type': 'CUSTOM_START'}",,,,,,UNKNOWN,"{'endpoint_type': 'roi', 'from_timestamp': '2025-04-01T13:00:00.000Z', 'to_timestamp': '2025-04-01T14:00:00.000Z'}",Show a chart with pallet counts from 1-2pm today in buffer zone 2 +135,02e986f0f8e3690f,metrics_agent,CHAIN,9d7a40254e8fa6b9,2025-04-02 00:35:37.845822+00:00,2025-04-02 00:35:42.226963+00:00,UNSET,,[],02e986f0f8e3690f,26d6fc206f5744616c4e6ee94d1f2634,"{'framework': 'unknown', 'function': {'name': 'metrics_agent', 'id': '811f15a0-6ee8-43a1-9797-0cba79066311'}, 'event_timestamp': 1743554137.8458219, 'subspan': {'name': 'metrics_agent'}, 'event_type': 'FUNCTION_START'}",application/json,,,"{""user_query"":""Show a chart with pallet counts from 1-2pm today in buffer zone 2""}",,CHAIN,All counts requested for are 0.,Show a chart with pallet counts from 1-2pm today in buffer zone 2 +136,9d7a40254e8fa6b9,Metrics Agent,UNKNOWN,53ec4b79b001349e,2025-04-02 00:35:37.845632+00:00,2025-04-02 00:35:42.227013+00:00,UNSET,,[],9d7a40254e8fa6b9,26d6fc206f5744616c4e6ee94d1f2634,"{'framework': 'unknown', 'function': {'name': 'cv_3d_agent', 'id': 'bf4c183b-83e4-4e43-a10d-d04a814d4ee9'}, 'event_timestamp': 1743554137.845632, 'subspan': {'name': 'Metrics Agent'}, 'event_type': 'CUSTOM_START'}",application/json,,,"""Show a chart with pallet counts from 1-2pm today in buffer zone 2""",,UNKNOWN,All counts requested for are 0.,Show a chart with pallet counts from 1-2pm today in buffer zone 2 +137,6c16a1ef33443b4a,nvdev/meta/llama-3.1-70b-instruct,LLM,9727445c76406325,2025-04-02 00:35:42.227293+00:00,2025-04-02 00:35:42.786283+00:00,UNSET,,[],6c16a1ef33443b4a,26d6fc206f5744616c4e6ee94d1f2634,"{'framework': 'langchain', 'function': {'name': 'cv_3d_agent', 'id': 'bf4c183b-83e4-4e43-a10d-d04a814d4ee9'}, 'usage': {'seconds_between_calls': 0, 'num_llm_calls': 0}, 'event_timestamp': 1743554142.227293, 'subspan': {'name': 'nvdev/meta/llama-3.1-70b-instruct'}, 'event_type': 'LLM_START'}",application/json,131.0,148.0,"[{""content"":""You must respond only in string format."",""additional_kwargs"":{},""response_metadata"":{},""type"":""system"",""name"":null,""id"":null},{""content"":""\nYou are an intelligent assistant that gives clear, concise and relevant summaries. Summarize the information to directly answer the user's query without introductory or concluding phrases. Provide only the necessary information in a straightforward manner.\nRules: - Provide only the key details necessary to answer the query. - Ensure your summary is in the form of a textual paragraph.\n\n\nHere is the user's query: Show a chart with pallet counts from 1-2pm today in buffer zone 2\nHere is the information: All counts requested for are 0.\n"",""additional_kwargs"":{},""response_metadata"":{},""type"":""human"",""name"":null,""id"":null,""example"":false}]",17.0,LLM,Buffer zone 2 pallet counts from 1-2pm today: 0.,Show a chart with pallet counts from 1-2pm today in buffer zone 2 +138,9727445c76406325,Llama 3.3-70B NIM,UNKNOWN,53ec4b79b001349e,2025-04-02 00:35:42.227066+00:00,2025-04-02 00:35:42.786531+00:00,UNSET,,[],9727445c76406325,26d6fc206f5744616c4e6ee94d1f2634,"{'framework': 'unknown', 'function': {'name': 'cv_3d_agent', 'id': 'bf4c183b-83e4-4e43-a10d-d04a814d4ee9'}, 'event_timestamp': 1743554142.227066, 'subspan': {'name': 'Llama 3.3-70B NIM'}, 'event_type': 'CUSTOM_START'}",,,,,,UNKNOWN,Buffer zone 2 pallet counts from 1-2pm today: 0.,Show a chart with pallet counts from 1-2pm today in buffer zone 2 +139,53ec4b79b001349e,cv_3d_agent,CHAIN,,2025-04-02 00:35:34.895027+00:00,2025-04-02 00:35:42.786852+00:00,UNSET,,[],53ec4b79b001349e,26d6fc206f5744616c4e6ee94d1f2634,"{'framework': 'unknown', 'function': {'name': 'cv_3d_agent', 'id': 'bf4c183b-83e4-4e43-a10d-d04a814d4ee9'}, 'event_timestamp': 1743554134.895027, 'subspan': {'name': 'cv_3d_agent'}, 'event_type': 'FUNCTION_START'}",application/json,,,"""Show a chart with pallet counts from 1-2pm today in buffer zone 2""",,CHAIN,"id='1990a5f6-f4e3-4984-a6e1-dc4eb166c757' object='chat.completion' model='' created=datetime.datetime(2025, 4, 2, 0, 35, 42, 786817, tzinfo=datetime.timezone.utc) choices=[AIQChoice(message=AIQChoiceMessage(content='Buffer zone 2 pallet counts from 1-2pm today: 0.\n', role=None), finish_reason='stop', index=0)] usage=None",Show a chart with pallet counts from 1-2pm today in buffer zone 2 diff --git a/pyproject.toml b/pyproject.toml index 2a7a14fff..2a4e1659d 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -79,7 +79,8 @@ examples = [ "aiq_simple", "aiq_swe_bench", "aiq_automated_description_generation", - "aiq_agno_personal_finance" + "aiq_agno_personal_finance", + "aiq_profiler_agent" ] profiling = [ @@ -116,6 +117,7 @@ aiq_simple_calculator = { path = "examples/simple_calculator", editable = true } aiq_swe_bench = { path = "examples/swe_bench", editable = true } aiq_automated_description_generation = { path = "examples/automated_description_generation", editable = true } aiq_agno_personal_finance = { path = "examples/agno_personal_finance", editable = true } +aiq_profiler_agent = {path = "examples/profiler_agent", editable = true} [tool.uv.workspace] diff --git a/uv.lock b/uv.lock index 5ada873c0..3ca2c34b2 100644 --- a/uv.lock +++ b/uv.lock @@ -1,4 +1,5 @@ version = 1 +revision = 2 requires-python = "==3.12.*" resolution-markers = [ 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"https://files.pythonhosted.org/packages/e7/54/967c478314e16af5baf849b6ee9d6ea724ae5b100eb506011f045d3d4e16/zstandard-0.23.0-cp312-cp312-win32.whl", hash = "sha256:dc1d33abb8a0d754ea4763bad944fd965d3d95b5baef6b121c0c9013eaf1907d", size = 430877, upload-time = "2024-07-15T00:16:11.758Z" }, + { url = "https://files.pythonhosted.org/packages/75/37/872d74bd7739639c4553bf94c84af7d54d8211b626b352bc57f0fd8d1e3f/zstandard-0.23.0-cp312-cp312-win_amd64.whl", hash = "sha256:64585e1dba664dc67c7cdabd56c1e5685233fbb1fc1966cfba2a340ec0dfff7b", size = 495595, upload-time = "2024-07-15T00:16:13.731Z" }, ] From f5ac1781e6692a7edcaf38e06af8ed74354725b1 Mon Sep 17 00:00:00 2001 From: Yuchen Zhang <134643420+yczhang-nv@users.noreply.github.com> Date: Mon, 5 May 2025 17:52:14 -0700 Subject: [PATCH 24/60] Regenerate `uv.lock`, cleaned up `pyproject.toml` for profiler agent example and fixed broken link in `README` (#210) - Re-generated `uv.lock` - Clean up `pyproject.toml` for profiler agent example and fix broken link in `README` ## By Submitting this PR I confirm: - I am familiar with the [Contributing Guidelines](https://github.com/NVIDIA/AIQToolkit/blob/develop/docs/source/advanced/contributing.md). - We require that all contributors "sign-off" on their commits. This certifies that the contribution is your original work, or you have rights to submit it under the same license, or a compatible license. - Any contribution which contains commits that are not Signed-Off will not be accepted. - When the PR is ready for review, new or existing tests cover these changes. - When the PR is ready for review, the documentation is up to date with these changes. Authors: - Yuchen Zhang (https://github.com/yczhang-nv) - Zac Wang (https://github.com/zac-wang-nv) - Anuradha Karuppiah (https://github.com/AnuradhaKaruppiah) Approvers: - Anuradha Karuppiah (https://github.com/AnuradhaKaruppiah) URL: https://github.com/NVIDIA/AIQToolkit/pull/210 Signed-off-by: Yuchen Zhang --- examples/profiler_agent/README.md | 2 +- examples/profiler_agent/pyproject.toml | 749 +---- packages/aiqtoolkit_weave/pyproject.toml | 2 +- uv.lock | 3681 +++++++++++++--------- 4 files changed, 2142 insertions(+), 2292 deletions(-) diff --git a/examples/profiler_agent/README.md b/examples/profiler_agent/README.md index 716849e58..fa89510c5 100644 --- a/examples/profiler_agent/README.md +++ b/examples/profiler_agent/README.md @@ -59,7 +59,7 @@ aiq run --config_file examples/simple_calculator/configs/config-tracing.yml --in aiq serve --config_file=examples/profiler_agent/configs/config.yml ``` -4. Launch the AIQ Toolkit User Interface by using the instructions in the [Using AIQ Toolkit UI and Server](https://github.com/NVIDIA/aiq/blob/main/docs/source/guides/using-aiqtoolkit-ui-and-server.md) guide. +4. Launch the AIQ Toolkit User Interface by using the instructions in the [Using AIQ Toolkit UI and Server](../../docs/source/guides/using-aiqtoolkit-ui-and-server.md) guide. 5. Query the agent with natural language via the UI: ``` diff --git a/examples/profiler_agent/pyproject.toml b/examples/profiler_agent/pyproject.toml index 89ae6d344..f62387fbe 100644 --- a/examples/profiler_agent/pyproject.toml +++ b/examples/profiler_agent/pyproject.toml @@ -18,7 +18,7 @@ dependencies = [ "aiqtoolkit[profiling, langchain]", "pydantic ~= 2.10.0, <2.11.0", ] -requires-python = "==3.12.*" +requires-python = ">=3.11,<3.13" description = "AIQ Toolkit Profiler Agent" license = { file = "LICENSE.md" } keywords = ["ai", "rag", "agents"] @@ -31,750 +31,3 @@ aiqtoolkit = { path = "../../", editable = true } [project.entry-points.'aiq.plugins'] aiq_profiler_agent = "aiq_profiler_agent.register" - -[tool.ruff] -# Basic settings -line-length = 120 # Match your existing standards - -[tool.ruff.format] -# Like Black, use double quotes for strings. -quote-style = "double" - -# Like Black, indent with spaces, rather than tabs. -indent-style = "space" - -# Like Black, respect magic trailing commas. -skip-magic-trailing-comma = false - -# Like Black, automatically detect the appropriate line ending. -line-ending = "auto" - -[tool.black] -line-length = 120 - -## Pylint configuration begins here - -[tool.pylint.main] -# Analyse import fallback blocks. This can be used to support both Python 2 and 3 -# compatible code, which means that the block might have code that exists only in -# one or another interpreter, leading to false positives when analysed. -# analyse-fallback-blocks = - -# Clear in-memory caches upon conclusion of linting. Useful if running pylint in -# a server-like mode. -# clear-cache-post-run = - -# Always return a 0 (non-error) status code, even if lint errors are found. This -# is primarily useful in continuous integration scripts. -# exit-zero = - -# A comma-separated list of package or module names from where C extensions may -# be loaded. Extensions are loading into the active Python interpreter and may -# run arbitrary code. -# extension-pkg-allow-list = [] - -# A comma-separated list of package or module names from where C extensions may -# be loaded. Extensions are loading into the active Python interpreter and may -# run arbitrary code. (This is an alternative name to extension-pkg-allow-list -# for backward compatibility.) -# extension-pkg-whitelist = - -# Return non-zero exit code if any of these messages/categories are detected, -# even if score is above --fail-under value. Syntax same as enable. Messages -# specified are enabled, while categories only check already-enabled messages. -fail-on = ["deprecated-typing-alias", "consider-alternative-union-syntax"] - -# Specify a score threshold under which the program will exit with error. -fail-under = 10.0 - -# Interpret the stdin as a python script, whose filename needs to be passed as -# the module_or_package argument. -# from-stdin = - -# Files or directories to be skipped. They should be base names, not paths. -ignore = ["conf.py"] - -# Add files or directories matching the regular expressions patterns to the -# ignore-list. The regex matches against paths and can be in Posix or Windows -# format. Because '\\' represents the directory delimiter on Windows systems, it -# can't be used as an escape character. -ignore-paths = ["nv_internal/.*"] - -# Files or directories matching the regular expression patterns are skipped. The -# regex matches against base names, not paths. The default value ignores Emacs -# file locks -ignore-patterns = ["^\\.#"] - -# List of module names for which member attributes should not be checked (useful -# for modules/projects where namespaces are manipulated during runtime and thus -# existing member attributes cannot be deduced by static analysis). It supports -# qualified module names, as well as Unix pattern matching. -# ignored-modules = - -# Python code to execute, usually for sys.path manipulation such as -# pygtk.require(). -# init-hook = - -# Use multiple processes to speed up Pylint. Specifying 0 will auto-detect the -# number of processors available to use, and will cap the count on Windows to -# avoid hangs. -jobs = 0 - -# Control the amount of potential inferred values when inferring a single object. -# This can help the performance when dealing with large functions or complex, -# nested conditions. -limit-inference-results = 100 - -# List of plugins (as comma separated values of python module names) to load, -# usually to register additional checkers. -load-plugins = ["pylint.extensions.docparams", "pylint.extensions.typing"] - -# Pickle collected data for later comparisons. -persistent = true - -# Minimum Python version to use for version dependent checks. Will default to the -# version used to run pylint. -py-version = "3.12" - -# Discover python modules and packages in the file system subtree. -# recursive = - -# Add paths to the list of the source roots. Supports globbing patterns. The -# source root is an absolute path or a path relative to the current working -# directory used to determine a package namespace for modules located under the -# source root. -source-roots = ["src", "packages/*/src"] - -# When enabled, pylint would attempt to guess common misconfiguration and emit -# user-friendly hints instead of false-positive error messages. -suggestion-mode = true - -# Allow loading of arbitrary C extensions. Extensions are imported into the -# active Python interpreter and may run arbitrary code. -# unsafe-load-any-extension = - -[tool.pylint.basic] -# Naming style matching correct argument names. -argument-naming-style = "snake_case" - -# Regular expression matching correct argument names. Overrides argument-naming- -# style. If left empty, argument names will be checked with the set naming style. -# argument-rgx = - -# Naming style matching correct attribute names. -attr-naming-style = "snake_case" - -# Regular expression matching correct attribute names. Overrides attr-naming- -# style. If left empty, attribute names will be checked with the set naming -# style. -# attr-rgx = - -# Bad variable names which should always be refused, separated by a comma. -bad-names = ["foo", "bar", "baz", "toto", "tutu", "tata"] - -# Bad variable names regexes, separated by a comma. If names match any regex, -# they will always be refused -# bad-names-rgxs = - -# Naming style matching correct class attribute names. -class-attribute-naming-style = "any" - -# Regular expression matching correct class attribute names. Overrides class- -# attribute-naming-style. If left empty, class attribute names will be checked -# with the set naming style. -# class-attribute-rgx = - -# Naming style matching correct class constant names. -class-const-naming-style = "UPPER_CASE" - -# Regular expression matching correct class constant names. Overrides class- -# const-naming-style. If left empty, class constant names will be checked with -# the set naming style. -# class-const-rgx = - -# Naming style matching correct class names. -class-naming-style = "PascalCase" - -# Regular expression matching correct class names. Overrides class-naming-style. -# If left empty, class names will be checked with the set naming style. -# class-rgx = - -# Naming style matching correct constant names. -const-naming-style = "UPPER_CASE" - -# Regular expression matching correct constant names. Overrides const-naming- -# style. If left empty, constant names will be checked with the set naming style. -# const-rgx = - -# Minimum line length for functions/classes that require docstrings, shorter ones -# are exempt. -docstring-min-length = -1 - -# Naming style matching correct function names. -function-naming-style = "snake_case" - -# Regular expression matching correct function names. Overrides function-naming- -# style. If left empty, function names will be checked with the set naming style. -# function-rgx = - -# Good variable names which should always be accepted, separated by a comma. -good-names = [ - "_", - "ae", - "df", - "e", - "ex", - "f", - "fh", - "fn", - "i", - "ip", - "j", - "k", - "Run", - "ts", - "x", - "X", - "y", - "Y", -] - -# Good variable names regexes, separated by a comma. If names match any regex, -# they will always be accepted -# good-names-rgxs = - -# Include a hint for the correct naming format with invalid-name. -include-naming-hint = true - -# Naming style matching correct inline iteration names. -inlinevar-naming-style = "any" - -# Regular expression matching correct inline iteration names. Overrides -# inlinevar-naming-style. If left empty, inline iteration names will be checked -# with the set naming style. -# inlinevar-rgx = - -# Naming style matching correct method names. -method-naming-style = "snake_case" - -# Regular expression matching correct method names. Overrides method-naming- -# style. If left empty, method names will be checked with the set naming style. -# method-rgx = - -# Naming style matching correct module names. -module-naming-style = "snake_case" - -# Regular expression matching correct module names. Overrides module-naming- -# style. If left empty, module names will be checked with the set naming style. -# module-rgx = - -# Colon-delimited sets of names that determine each other's naming style when the -# name regexes allow several styles. -# name-group = - -# Regular expression which should only match function or class names that do not -# require a docstring. -no-docstring-rgx = "^_" - -# List of decorators that produce properties, such as abc.abstractproperty. Add -# to this list to register other decorators that produce valid properties. These -# decorators are taken in consideration only for invalid-name. -property-classes = ["abc.abstractproperty"] - -# Regular expression matching correct type alias names. If left empty, type alias -# names will be checked with the set naming style. -# typealias-rgx = - -# Regular expression matching correct type variable names. If left empty, type -# variable names will be checked with the set naming style. -# typevar-rgx = - -# Naming style matching correct variable names. -variable-naming-style = "snake_case" - -# Regular expression matching correct variable names. Overrides variable-naming- -# style. If left empty, variable names will be checked with the set naming style. -# variable-rgx = - -[tool.pylint.classes] -# Warn about protected attribute access inside special methods -# check-protected-access-in-special-methods = - -# List of method names used to declare (i.e. assign) instance attributes. -defining-attr-methods = ["__init__", "__new__", "setUp", "__post_init__"] - -# List of member names, which should be excluded from the protected access -# warning. -exclude-protected = ["_asdict", "_fields", "_replace", "_source", "_make"] - -# List of valid names for the first argument in a class method. -valid-classmethod-first-arg = ["cls"] - -# List of valid names for the first argument in a metaclass class method. -valid-metaclass-classmethod-first-arg = ["cls"] - -[tool.pylint.design] -# List of regular expressions of class ancestor names to ignore when counting -# public methods (see R0903) -# exclude-too-few-public-methods = - -# List of qualified class names to ignore when counting class parents (see R0901) -# ignored-parents = - -# Maximum number of arguments for function / method. -max-args = 5 - -# Maximum number of attributes for a class (see R0902). -max-attributes = 7 - -# Maximum number of boolean expressions in an if statement (see R0916). -max-bool-expr = 5 - -# Maximum number of branch for function / method body. -max-branches = 12 - -# Maximum number of locals for function / method body. -max-locals = 15 - -# Maximum number of parents for a class (see R0901). -max-parents = 7 - -# Maximum number of public methods for a class (see R0904). -max-public-methods = 20 - -# Maximum number of return / yield for function / method body. -max-returns = 6 - -# Maximum number of statements in function / method body. -max-statements = 50 - -# Minimum number of public methods for a class (see R0903). -min-public-methods = 2 - -[tool.pylint.exceptions] -# Exceptions that will emit a warning when caught. -overgeneral-exceptions = ["builtins.BaseException", "builtins.Exception"] - -[tool.pylint.format] -# Expected format of line ending, e.g. empty (any line ending), LF or CRLF. -# expected-line-ending-format = - -# Regexp for a line that is allowed to be longer than the limit. -ignore-long-lines = "^\\s*(# )??$" - -# Number of spaces of indent required inside a hanging or continued line. -indent-after-paren = 4 - -# String used as indentation unit. This is usually " " (4 spaces) or "\t" (1 -# tab). -indent-string = " " - -# Maximum number of characters on a single line. -max-line-length = 120 - -# Maximum number of lines in a module. -max-module-lines = 1000 - -# Allow the body of a class to be on the same line as the declaration if body -# contains single statement. -# single-line-class-stmt = - -# Allow the body of an if to be on the same line as the test if there is no else. -# single-line-if-stmt = - -[tool.pylint.imports] -# List of modules that can be imported at any level, not just the top level one. -# allow-any-import-level = - -# Allow explicit reexports by alias from a package __init__. -# allow-reexport-from-package = - -# Allow wildcard imports from modules that define __all__. -# allow-wildcard-with-all = - -# Deprecated modules which should not be used, separated by a comma. -# deprecated-modules = - -# Output a graph (.gv or any supported image format) of external dependencies to -# the given file (report RP0402 must not be disabled). -# ext-import-graph = - -# Output a graph (.gv or any supported image format) of all (i.e. internal and -# external) dependencies to the given file (report RP0402 must not be disabled). -# import-graph = - -# Output a graph (.gv or any supported image format) of internal dependencies to -# the given file (report RP0402 must not be disabled). -# int-import-graph = - -# Force import order to recognize a module as part of the standard compatibility -# libraries. -# known-standard-library = - -# Force import order to recognize a module as part of a third party library. -known-third-party = ["enchant"] - -# Couples of modules and preferred modules, separated by a comma. -# preferred-modules = - -[tool.pylint.logging] -# The type of string formatting that logging methods do. `old` means using % -# formatting, `new` is for `{}` formatting. -logging-format-style = "old" - -# Logging modules to check that the string format arguments are in logging -# function parameter format. -logging-modules = ["logging"] - -[tool.pylint."messages control"] -# Only show warnings with the listed confidence levels. Leave empty to show all. -# Valid levels: HIGH, CONTROL_FLOW, INFERENCE, INFERENCE_FAILURE, UNDEFINED. -confidence = [ - "HIGH", - "CONTROL_FLOW", - "INFERENCE", - "INFERENCE_FAILURE", - "UNDEFINED", -] - -# Disable the message, report, category or checker with the given id(s). You can -# either give multiple identifiers separated by comma (,) or put this option -# multiple times (only on the command line, not in the configuration file where -# it should appear only once). You can also use "--disable=all" to disable -# everything first and then re-enable specific checks. For example, if you want -# to run only the similarities checker, you can use "--disable=all -# --enable=similarities". If you want to run only the classes checker, but have -# no Warning level messages displayed, use "--disable=all --enable=classes -# --disable=W". -disable = [ - "bad-inline-option", - "broad-exception-caught", # Allow catching base Exception class - "deprecated-pragma", - "duplicate-code", # This is too restrictive for our codebase - "file-ignored", - "import-error", # pylint gets confused by tests for our examples - "import-outside-toplevel", # Allow lazy imports inside of methods - "locally-disabled", - "missing-class-docstring", - "missing-function-docstring", - "missing-module-docstring", - "protected-access", - "raw-checker-failed", - "superfluous-parens", - "suppressed-message", - "too-few-public-methods", # Disable all the "too-*" checks, as they are too strict for our codebase - "too-many-arguments", - "too-many-branches", - "too-many-instance-attributes", - "too-many-lines", - "too-many-locals", - "too-many-nested-blocks", - "too-many-positional-arguments", - "too-many-return-statements", - "too-many-statements", - "unnecessary-lambda", # We pass lambdas around a lot, so this is not useful - "unnecessary-pass", # Allow empty classes/methods with only a `pass` statement in the body - "unused-argument", # Allow unused arguments in functions for rapid prototyping (delete after initial AgentIQ prototype) - "use-symbolic-message-instead", - "useless-suppression", - "wrong-import-order", # pylint mistakenly thinks that the test utils are third party, and we have isort for this -] - -# Enable the message, report, category or checker with the given id(s). You can -# either give multiple identifier separated by comma (,) or put this option -# multiple time (only on the command line, not in the configuration file where it -# should appear only once). 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When checking for inconsistent- -# return-statements if a never returning function is called then it will be -# considered as an explicit return statement and no message will be printed. -never-returning-functions = ["sys.exit", "argparse.parse_error"] - -[tool.pylint.reports] -# Python expression which should return a score less than or equal to 10. You -# have access to the variables 'fatal', 'error', 'warning', 'refactor', -# 'convention', and 'info' which contain the number of messages in each category, -# as well as 'statement' which is the total number of statements analyzed. This -# score is used by the global evaluation report (RP0004). -evaluation = "max(0, 0 if fatal else 10.0 - ((float(5 * error + warning + refactor + convention) / statement) * 10))" - -# Template used to display messages. This is a python new-style format string -# used to format the message information. See doc for all details. -# msg-template = - -# Set the output format. 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No available dictionaries : You need to install both -# the python package and the system dependency for enchant to work.. -# spelling-dict = - -# List of comma separated words that should be considered directives if they -# appear at the beginning of a comment and should not be checked. -spelling-ignore-comment-directives = "fmt: on,fmt: off,noqa:,noqa,nosec,isort:skip,mypy:" - -# List of comma separated words that should not be checked. -# spelling-ignore-words = - -# A path to a file that contains the private dictionary; one word per line. -# spelling-private-dict-file = - -# Tells whether to store unknown words to the private dictionary (see the -# --spelling-private-dict-file option) instead of raising a message. -# spelling-store-unknown-words = - -[tool.pylint.typecheck] -# List of decorators that produce context managers, such as -# contextlib.contextmanager. Add to this list to register other decorators that -# produce valid context managers. -contextmanager-decorators = [ - "contextlib.contextmanager", - "register_embedder", - "register_function", - "register_llm", - "register_memory_client", -] - -# List of members which are set dynamically and missed by pylint inference -# system, and so shouldn't trigger E1101 when accessed. Python regular -# expressions are accepted. - -# Add pytorch & dgl members to the list of dynamically set members. Only until pylint 3.0 supports pyi files -# generated-members = "" - -# Tells whether missing members accessed in mixin class should be ignored. A -# class is considered mixin if its name matches the mixin-class-rgx option. -# Tells whether to warn about missing members when the owner of the attribute is -# inferred to be None. -ignore-none = true - -# This flag controls whether pylint should warn about no-member and similar -# checks whenever an opaque object is returned when inferring. The inference can -# return multiple potential results while evaluating a Python object, but some -# branches might not be evaluated, which results in partial inference. In that -# case, it might be useful to still emit no-member and other checks for the rest -# of the inferred objects. -ignore-on-opaque-inference = true - -# List of symbolic message names to ignore for Mixin members. -ignored-checks-for-mixins = [ - "no-member", - "not-async-context-manager", - "not-context-manager", - "attribute-defined-outside-init", -] - -# List of class names for which member attributes should not be checked (useful -# for classes with dynamically set attributes). This supports the use of -# qualified names. -ignored-classes = [ - "optparse.Values", - "thread._local", - "_thread._local", - "argparse.Namespace", -] - -# Show a hint with possible names when a member name was not found. The aspect of -# finding the hint is based on edit distance. -missing-member-hint = true - -# The minimum edit distance a name should have in order to be considered a -# similar match for a missing member name. -missing-member-hint-distance = 1 - -# The total number of similar names that should be taken in consideration when -# showing a hint for a missing member. -missing-member-max-choices = 1 - -# Regex pattern to define which classes are considered mixins. -mixin-class-rgx = ".*[Mm]ixin" - -# List of decorators that change the signature of a decorated function. -signature-mutators = [ - 'click.decorators.option', - 'click.decorators.argument', - 'click.decorators.version_option', - 'click.decorators.help_option', - 'click.decorators.pass_context', - 'click.decorators.confirmation_option', -] - -[tool.pylint.variables] -# List of additional names supposed to be defined in builtins. Remember that you -# should avoid defining new builtins when possible. -# additional-builtins = - -# Tells whether unused global variables should be treated as a violation. -allow-global-unused-variables = true - -# List of names allowed to shadow builtins -# allowed-redefined-builtins = - -# List of strings which can identify a callback function by name. A callback name -# must start or end with one of those strings. -callbacks = ["cb_", "_cb"] - -# A regular expression matching the name of dummy variables (i.e. expected to not -# be used). -dummy-variables-rgx = "_+$|(_[a-zA-Z0-9_]*[a-zA-Z0-9]+?$)|dummy|^ignored_|^unused_" - -# Argument names that match this expression will be ignored. -ignored-argument-names = "_.*|^ignored_|^unused_" - -# Tells whether we should check for unused import in __init__ files. -# init-import = - -# List of qualified module names which can have objects that can redefine -# builtins. -redefining-builtins-modules = [ - "six.moves", - "past.builtins", - "future.builtins", - "builtins", - "io", -] - - -# ===== isort Config ===== -[tool.isort] -line_length = 120 -multi_line_output = 3 -include_trailing_comma = true -force_grid_wrap = 0 -combine_as_imports = true -order_by_type = true -force_single_line = true -default_section = "THIRDPARTY" -src_paths = ["examples", "packages/**/src", "src", "tests"] -skip = [ - "__init__.py", - ".eggs", - ".git", - ".hg", - ".mypy_cache", - ".tmp", - ".tox", - ".venv", - "buck-out", - "build", - "dist", - "models", - "thirdparty", -] -known_first_party = ["aiq"] -# Need to declare known third party for namespace packages which have the same name -known_third_party = ["langchain", "llama_index", "crewai", "semantic_kernel", "mem0ai", "zep_cloud"] -namespace_packages = ["aiq", "aiq.plugins"] - -[tool.flake8] -filename = ["*.py"] - -max-line-length = 120 -max-doc-length = 120 - -extend-ignore = [ - # Ignore missing docstrings __init__ methods as we document those on the class - "D107", - # Don't require quotes to be placed on the same line as a one-line docstring, useful when the docstring is close - # to the line limit - "D200", - # Allow a blank line between a docstring and the code - "D202", - # D204: 1 blank line required after class docstring - "D204", - # D205: 1 blank line required between summary line and description (allow for a paragraph) - "D205", - # D400: First line should end with a period (only works if we're adhering to D205) - "D400", - # D401: First line should be in imperative mood - "D401", -] - -# ===== yapf Config ===== -[tool.yapf] -based_on_style = "pep8" -column_limit = 120 -split_all_top_level_comma_separated_values = true -join_multiple_lines = true -indent_dictionary_value = true - - -# ===== pyright Config ===== -[tool.pyright] -deprecateTypingAliases = true -reportInvalidTypeForm = "warning" diff --git a/packages/aiqtoolkit_weave/pyproject.toml b/packages/aiqtoolkit_weave/pyproject.toml index e34468f7a..51a529f31 100644 --- a/packages/aiqtoolkit_weave/pyproject.toml +++ b/packages/aiqtoolkit_weave/pyproject.toml @@ -22,7 +22,7 @@ dependencies = [ "aiqtoolkit~=1.1", "weave>=0.51.44" ] -requires-python = ">=3.12" +requires-python = ">=3.11,<3.13" description = "Subpackage for Weave integration in AIQToolkit" readme = "src/aiq/meta/pypi.md" keywords = ["ai", "observability", "wandb"] diff --git a/uv.lock b/uv.lock 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22:11:46 +0530 Subject: [PATCH 25/60] Removed `disable=unused-argument` from pylint checks (#186) Closes #151 ## By Submitting this PR I confirm: - I am familiar with the [Contributing Guidelines](https://github.com/NVIDIA/AIQToolkit/blob/develop/docs/source/advanced/contributing.md). - We require that all contributors "sign-off" on their commits. This certifies that the contribution is your original work, or you have rights to submit it under the same license, or a compatible license. - Any contribution which contains commits that are not Signed-Off will not be accepted. - When the PR is ready for review, new or existing tests cover these changes. - When the PR is ready for review, the documentation is up to date with these changes. Authors: - Hritik Raj (https://github.com/Hritik003) - Anuradha Karuppiah (https://github.com/AnuradhaKaruppiah) Approvers: - David Gardner (https://github.com/dagardner-nv) URL: https://github.com/NVIDIA/AIQToolkit/pull/186 Signed-off-by: Yuchen Zhang --- pyproject.toml | 1 - 1 file changed, 1 deletion(-) diff --git a/pyproject.toml b/pyproject.toml index 2a4e1659d..175d0b6e1 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -626,7 +626,6 @@ disable = [ "too-many-statements", "unnecessary-lambda", # We pass lambdas around a lot, so this is not useful "unnecessary-pass", # Allow empty classes/methods with only a `pass` statement in the body - "unused-argument", # Allow unused arguments in functions for rapid prototyping (delete after initial AIQToolkit prototype) "use-symbolic-message-instead", "useless-suppression", "wrong-import-order", # pylint mistakenly thinks that the test utils are third party, and we have isort for this From edf21aeb0bdc397527547ad009e3ab4b0b657ec1 Mon Sep 17 00:00:00 2001 From: Victor Yudin Date: Tue, 6 May 2025 12:55:47 -0400 Subject: [PATCH 26/60] Exception handling for discovery_metadata.py (#215) Closes ## By Submitting this PR I confirm: - I am familiar with the [Contributing Guidelines](https://github.com/NVIDIA/AIQToolkit/blob/develop/docs/source/advanced/contributing.md). - We require that all contributors "sign-off" on their commits. This certifies that the contribution is your original work, or you have rights to submit it under the same license, or a compatible license. - Any contribution which contains commits that are not Signed-Off will not be accepted. - When the PR is ready for review, new or existing tests cover these changes. - When the PR is ready for review, the documentation is up to date with these changes. Authors: - Victor Yudin (https://github.com/VictorYudin) Approvers: - Anuradha Karuppiah (https://github.com/AnuradhaKaruppiah) URL: https://github.com/NVIDIA/AIQToolkit/pull/215 Signed-off-by: Yuchen Zhang --- src/aiq/data_models/discovery_metadata.py | 31 ++++++++++++++++++----- 1 file changed, 24 insertions(+), 7 deletions(-) diff --git a/src/aiq/data_models/discovery_metadata.py b/src/aiq/data_models/discovery_metadata.py index 1afa2a9c3..5c233f10b 100644 --- a/src/aiq/data_models/discovery_metadata.py +++ b/src/aiq/data_models/discovery_metadata.py @@ -150,7 +150,11 @@ def from_config_type(config_type: type["TypedBaseModelT"], logger.error("Encountered issue getting distro_name for module %s", module.__name__) return DiscoveryMetadata(status=DiscoveryStatusEnum.FAILURE) - version = importlib.metadata.version(distro_name) if distro_name != "" else "" + try: + version = importlib.metadata.version(distro_name) if distro_name != "" else "" + except importlib.metadata.PackageNotFoundError: + logger.warning("Package metadata not found for %s", distro_name) + version = "" except Exception as e: logger.exception("Encountered issue extracting module metadata for %s: %s", config_type, e, exc_info=True) return DiscoveryMetadata(status=DiscoveryStatusEnum.FAILURE) @@ -185,7 +189,11 @@ def from_fn_wrapper(fn: "ToolWrapperBuildCallableT", module = inspect.getmodule(fn) root_package: str = module.__package__.split(".")[0] root_package = DiscoveryMetadata.get_distribution_name(root_package) - version = importlib.metadata.version(root_package) if root_package != "" else "" + try: + version = importlib.metadata.version(root_package) if root_package != "" else "" + except importlib.metadata.PackageNotFoundError: + logger.warning("Package metadata not found for %s", root_package) + version = "" except Exception as e: logger.exception("Encountered issue extracting module metadata for %s: %s", fn, e, exc_info=True) return DiscoveryMetadata(status=DiscoveryStatusEnum.FAILURE) @@ -213,10 +221,15 @@ def from_package_name(package_name: str, package_version: str | None) -> "Discov try: package_name = DiscoveryMetadata.get_distribution_name(package_name) - metadata = importlib.metadata.metadata(package_name) - description = metadata.get("Summary", "") - if (package_version is None): - package_version = importlib.metadata.version(package_name) + try: + metadata = importlib.metadata.metadata(package_name) + description = metadata.get("Summary", "") + if (package_version is None): + package_version = importlib.metadata.version(package_name) + except importlib.metadata.PackageNotFoundError: + logger.warning("Package metadata not found for %s", package_name) + description = "" + package_version = package_version or "" except Exception as e: logger.exception("Encountered issue extracting module metadata for %s: %s", package_name, e, exc_info=True) return DiscoveryMetadata(status=DiscoveryStatusEnum.FAILURE) @@ -252,7 +265,11 @@ def from_provider_framework_map( module = inspect.getmodule(config_type) root_package: str = module.__package__.split(".")[0] root_package = DiscoveryMetadata.get_distribution_name(root_package) - version = importlib.metadata.version(root_package) if root_package != "" else "" + try: + version = importlib.metadata.version(root_package) if root_package != "" else "" + except importlib.metadata.PackageNotFoundError: + logger.warning("Package metadata not found for %s", root_package) + version = "" except Exception as e: logger.exception("Encountered issue extracting module metadata for %s: %s", config_type, e, exc_info=True) return DiscoveryMetadata(status=DiscoveryStatusEnum.FAILURE) From dccaa1723d1d0ba16b9e638e666bacbdfcc19614 Mon Sep 17 00:00:00 2001 From: Anuradha Karuppiah Date: Tue, 6 May 2025 12:12:48 -0700 Subject: [PATCH 27/60] Fix incorrect eval output config access (#219) The eval output_dir can be specified two ways: ``` eval: general: output_dir: ./.tmp/aiq/examples/simple/ ``` (OR) ``` eval: general: output: dir: ./.tmp/aiq/examples/simple/ ``` The second is the preferred way as it allows additional output config. However, we maintain the first for backwards compatibility purposes. A previous change broke this compatibility (because of invalid `eval.general.output` access). This PR addresses that issue. ## By Submitting this PR I confirm: - I am familiar with the [Contributing Guidelines](https://github.com/NVIDIA/AIQToolkit/blob/develop/docs/source/advanced/contributing.md). - We require that all contributors "sign-off" on their commits. This certifies that the contribution is your original work, or you have rights to submit it under the same license, or a compatible license. - Any contribution which contains commits that are not Signed-Off will not be accepted. - When the PR is ready for review, new or existing tests cover these changes. - When the PR is ready for review, the documentation is up to date with these changes. Authors: - Anuradha Karuppiah (https://github.com/AnuradhaKaruppiah) Approvers: - Dhruv Nandakumar (https://github.com/dnandakumar-nv) URL: https://github.com/NVIDIA/AIQToolkit/pull/219 Signed-off-by: Yuchen Zhang --- src/aiq/eval/evaluate.py | 6 ++++-- tests/aiq/eval/test_evaluate.py | 21 +++++++++++++++++++++ 2 files changed, 25 insertions(+), 2 deletions(-) diff --git a/src/aiq/eval/evaluate.py b/src/aiq/eval/evaluate.py index cfbe7fcbb..82a99fa28 100644 --- a/src/aiq/eval/evaluate.py +++ b/src/aiq/eval/evaluate.py @@ -177,8 +177,10 @@ def write_output(self, dataset_handler: DatasetHandler): workflow_output_file.parent.mkdir(parents=True, exist_ok=True) # Write the workflow output to a file (this can be used for re-running the evaluation) - workflow_output = dataset_handler.publish_eval_input( - self.eval_input, self.eval_config.general.output.workflow_output_step_filter) + + step_filter = self.eval_config.general.output.workflow_output_step_filter \ + if self.eval_config.general.output else None + workflow_output = dataset_handler.publish_eval_input(self.eval_input, step_filter) with open(workflow_output_file, "w", encoding="utf-8") as f: # set indent to 2 for pretty printing f.write(workflow_output) diff --git a/tests/aiq/eval/test_evaluate.py b/tests/aiq/eval/test_evaluate.py index fa7f3ff93..24c6644ce 100644 --- a/tests/aiq/eval/test_evaluate.py +++ b/tests/aiq/eval/test_evaluate.py @@ -16,6 +16,7 @@ import json from contextlib import asynccontextmanager from pathlib import Path +from types import SimpleNamespace from unittest.mock import AsyncMock from unittest.mock import MagicMock from unittest.mock import mock_open @@ -423,6 +424,26 @@ def test_write_output(evaluation_run, default_eval_config, eval_input, eval_outp mock_logger.assert_any_call("Evaluation results written to %s", evaluator_output_path) +def test_write_output_handles_none_output(evaluation_run, eval_input): + """This test ensures that write_output does not access .output without a None check.""" + # Setup minimal eval_config with output = None + evaluation_run.eval_config = SimpleNamespace( + general=SimpleNamespace(output=None, output_dir=Path(".tmp/aiq/examples/mock/"))) + evaluation_run.eval_input = eval_input + # Mock dataset handler + mock_dataset_handler = MagicMock() + mock_dataset_handler.publish_eval_input.return_value = "[]" + # Patch file operations and logging + with patch("builtins.open", mock_open()), \ + patch("pathlib.Path.mkdir"), \ + patch("aiq.eval.evaluate.logger.info"): + # Should not raise AttributeError + try: + evaluation_run.write_output(mock_dataset_handler) + except AttributeError: + pytest.fail("write_output should not access .output without a None check") + + @pytest.mark.parametrize("skip_workflow", [True, False]) async def test_run_and_evaluate(evaluation_run, default_eval_config, session_manager, mock_evaluator, skip_workflow): """ From 3e23ab6b680ab59a3b2523896281575f337cc823 Mon Sep 17 00:00:00 2001 From: David Gardner <96306125+dagardner-nv@users.noreply.github.com> Date: Tue, 6 May 2025 16:07:38 -0700 Subject: [PATCH 28/60] Treat a tagged commit the same as a nightly build (#217) * Ensure that tagged (presumably rc tags) commits are marked as `ready` * Ensure that tagged commits on the develop branch are treated the same as nightly builds and internal dependencies are fully specified (`aiqtoolkit==1.1.0rc2` rather than `aiqtoolkit~=1.1`) * Fix handling of the version for nightly builds * Fix out of date/incorrect/misleading comment ## By Submitting this PR I confirm: - I am familiar with the [Contributing Guidelines](https://github.com/NVIDIA/AIQToolkit/blob/develop/docs/source/advanced/contributing.md). - We require that all contributors "sign-off" on their commits. This certifies that the contribution is your original work, or you have rights to submit it under the same license, or a compatible license. - Any contribution which contains commits that are not Signed-Off will not be accepted. - When the PR is ready for review, new or existing tests cover these changes. - When the PR is ready for review, the documentation is up to date with these changes. Authors: - David Gardner (https://github.com/dagardner-nv) Approvers: - Anuradha Karuppiah (https://github.com/AnuradhaKaruppiah) URL: https://github.com/NVIDIA/AIQToolkit/pull/217 Signed-off-by: Yuchen Zhang --- .gitlab-ci.yml | 1 + ci/release/update-version.sh | 8 ++++---- ci/scripts/gitlab/artifactory_upload.sh | 11 ++++++----- ci/scripts/gitlab/build_wheel.sh | 6 ++++-- ci/scripts/gitlab/common.sh | 23 +++++++++++++++++------ 5 files changed, 32 insertions(+), 17 deletions(-) diff --git a/.gitlab-ci.yml b/.gitlab-ci.yml index 1322cb129..cee0a18cc 100644 --- a/.gitlab-ci.yml +++ b/.gitlab-ci.yml @@ -128,3 +128,4 @@ upload:artifactory: rules: - if: $CI_COMMIT_BRANCH == $CI_DEFAULT_BRANCH - if: $CI_COMMIT_BRANCH == 'main' + - if: $CI_COMMIT_TAG diff --git a/ci/release/update-version.sh b/ci/release/update-version.sh index c58140fd0..1dc499863 100755 --- a/ci/release/update-version.sh +++ b/ci/release/update-version.sh @@ -29,10 +29,10 @@ else NEXT_VERSION=$1 fi -export SCRIPT_DIR=${SCRIPT_DIR:-"$( cd "$( dirname "${BASH_SOURCE[0]}" )" &> /dev/null && pwd )"} +export CUR_DIR=$( cd "$( dirname "${BASH_SOURCE[0]}" )" &> /dev/null && pwd ) # The root to the AIQ Toolkit repo -export PROJECT_ROOT=${PROJECT_ROOT:-"$(realpath ${SCRIPT_DIR}/../..)"} +export PROJECT_ROOT=${PROJECT_ROOT:-"$(realpath ${CUR_DIR}/../..)"} NEXT_MAJOR=$(echo ${NEXT_VERSION} | awk '{split($0, a, "."); print a[1]}') NEXT_MINOR=$(echo ${NEXT_VERSION} | awk '{split($0, a, "."); print a[2]}') @@ -58,14 +58,14 @@ AIQ_PACKAGE_TOMLS=($(find ./packages -name "pyproject.toml" | sort )) AIQ_EXAMPLE_TOMLS=($(find ./examples -name "pyproject.toml" | sort )) for TOML_FILE in ${AIQ_EXAMPLE_TOMLS[@]}; do - ${SCRIPT_DIR}/update_toml_dep.py \ + ${CUR_DIR}/update_toml_dep.py \ --toml-file-path=${TOML_FILE} \ --new-version="${AIQ_VERSION}" \ --version-match="${VERSION_MATCH}" done for TOML_FILE in "${AIQ_PACKAGE_TOMLS[@]}"; do - ${SCRIPT_DIR}/update_toml_dep.py \ + ${CUR_DIR}/update_toml_dep.py \ --toml-file-path=${TOML_FILE} \ --new-version="${AIQ_VERSION}" \ --version-match="${VERSION_MATCH}" diff --git a/ci/scripts/gitlab/artifactory_upload.sh b/ci/scripts/gitlab/artifactory_upload.sh index e842f4757..cd51b27e5 100755 --- a/ci/scripts/gitlab/artifactory_upload.sh +++ b/ci/scripts/gitlab/artifactory_upload.sh @@ -21,9 +21,13 @@ GITLAB_SCRIPT_DIR="$( cd "$( dirname "${BASH_SOURCE[0]}" )" &> /dev/null && pwd source ${GITLAB_SCRIPT_DIR}/common.sh +GIT_TAG=$(get_git_tag) +IS_TAGGED=$(is_current_commit_tagged) +rapids-logger "Git Version: ${GIT_TAG} - Is Tagged: ${IS_TAGGED}" + # change this to ready to publish. this should be done programmatically once # the release process is finalized. -if [[ "${CI_CRON_NIGHTLY}" == "1" || "${CI_COMMIT_BRANCH}" == "main" ]]; then +if [[ "${CI_CRON_NIGHTLY}" == "1" || ${IS_TAGGED} == "1" || "${CI_COMMIT_BRANCH}" == "main" ]]; then RELEASE_STATUS=ready else RELEASE_STATUS=preview @@ -40,9 +44,6 @@ WHEELS_BASE_DIR="${CI_PROJECT_DIR}/.tmp/wheels" # Define the subdirectories to be exclude EXCLUDE_SUBDIRS=("examples") -GIT_TAG=$(get_git_tag) -rapids-logger "Git Version: ${GIT_TAG}" - # Exit if required secrets are not set if [[ -z "${URM_USER}" || -z "${URM_API_KEY}" ]]; then echo "Error: URM_USER or URM_API_KEY is not set. Exiting." @@ -93,7 +94,7 @@ if [[ "${UPLOAD_TO_ARTIFACTORY}" == "true" ]]; then for SUBDIR in $(find "${WHEELS_DIR}" -mindepth 1 -maxdepth 1 -type d); do SUBDIR_NAME=$(basename "${SUBDIR}") - + # Skip directories listed in EXCLUDE_SUBDIRS if [[ " ${EXCLUDE_SUBDIRS[@]} " =~ " ${SUBDIR_NAME} " ]]; then echo "Skipping excluded directory: ${SUBDIR_NAME}" diff --git a/ci/scripts/gitlab/build_wheel.sh b/ci/scripts/gitlab/build_wheel.sh index d8b725b67..94fc33034 100755 --- a/ci/scripts/gitlab/build_wheel.sh +++ b/ci/scripts/gitlab/build_wheel.sh @@ -21,11 +21,13 @@ GITLAB_SCRIPT_DIR="$( cd "$( dirname "${BASH_SOURCE[0]}" )" &> /dev/null && pwd source ${GITLAB_SCRIPT_DIR}/common.sh GIT_TAG=$(get_git_tag) -rapids-logger "Git Version: ${GIT_TAG}" +IS_TAGGED=$(is_current_commit_tagged) +rapids-logger "Git Version: ${GIT_TAG} - Is Tagged: ${IS_TAGGED}" -if [[ "${CI_CRON_NIGHTLY}" == "1" ]]; then +if [[ "${CI_CRON_NIGHTLY}" == "1" || ( ${IS_TAGGED} == "1" && "${CI_COMMIT_BRANCH}" != "main" ) ]]; then export SETUPTOOLS_SCM_PRETEND_VERSION="${GIT_TAG}" export USE_FULL_VERSION="1" + create_env group:dev ${PROJECT_ROOT}/ci/release/update-version.sh "${GIT_TAG}" fi diff --git a/ci/scripts/gitlab/common.sh b/ci/scripts/gitlab/common.sh index 698e85f0d..f61d5f9d8 100644 --- a/ci/scripts/gitlab/common.sh +++ b/ci/scripts/gitlab/common.sh @@ -32,17 +32,28 @@ function get_git_tag() { exit 1; fi - # If the branch is a nightly build create an alpha tag which will be accepted by pypi - # Note: We are intentionally not pushing this tag, it exists for the sole purpose of generating a - # unique alpha version for nightly builds. - GIT_TAG=$(echo $GIT_TAG | sed -e "s|-dev|a$(date +"%Y%m%d")|") + # If the branch is a nightly build create a version which will be accepted by pypi + # Note: We are intentionally creating an actual tag, just setting the variable + GIT_TAG=$(echo $GIT_TAG | sed -e "s|-.*|a$(date +"%Y%m%d")|") fi echo ${GIT_TAG} } - - +function is_current_commit_tagged() { + # Check if the current commit is tagged + set +e + git describe --tags --exact-match HEAD >/dev/null 2>&1 + local status_code=$? + set -e + + # Convert the unix status code to a boolean value + local is_tagged=0 + if [[ ${status_code} -eq 0 ]]; then + is_tagged=1 + fi + echo ${is_tagged} +} function create_env() { From 3fb2d4cf804654aab903dae3142c294aaba00898 Mon Sep 17 00:00:00 2001 From: Eric Evans II <194135482+ericevans-nv@users.noreply.github.com> Date: Tue, 6 May 2025 18:10:12 -0500 Subject: [PATCH 29/60] Feature/add aiqtoolkit UI submodule (#214) Closes ## By Submitting this PR I confirm: - I am familiar with the [Contributing Guidelines](https://github.com/NVIDIA/AIQToolkit/blob/develop/docs/source/advanced/contributing.md). - We require that all contributors "sign-off" on their commits. This certifies that the contribution is your original work, or you have rights to submit it under the same license, or a compatible license. - Any contribution which contains commits that are not Signed-Off will not be accepted. - When the PR is ready for review, new or existing tests cover these changes. - When the PR is ready for review, the documentation is up to date with these changes. Authors: - Eric Evans II (https://github.com/ericevans-nv) Approvers: - David Gardner (https://github.com/dagardner-nv) URL: https://github.com/NVIDIA/AIQToolkit/pull/214 Signed-off-by: Yuchen Zhang --- docs/source/_static/ui_home_page.png | 4 ++-- external/aiqtoolkit-opensource-ui | 2 +- 2 files changed, 3 insertions(+), 3 deletions(-) diff --git a/docs/source/_static/ui_home_page.png b/docs/source/_static/ui_home_page.png index 4eb7aadb3..cf2575c7d 100644 --- a/docs/source/_static/ui_home_page.png +++ b/docs/source/_static/ui_home_page.png @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:a9d590497058b68a83c33954a5d7acc26b414a48436dae92e3c056e974520b64 -size 232271 +oid sha256:1a60b50e85ce7cf2c7d383012725cd713337cfa4b61d6b951ef1f155cd2a78b1 +size 378874 diff --git a/external/aiqtoolkit-opensource-ui b/external/aiqtoolkit-opensource-ui index 7e715d17c..07d8558b1 160000 --- a/external/aiqtoolkit-opensource-ui +++ b/external/aiqtoolkit-opensource-ui @@ -1 +1 @@ -Subproject commit 7e715d17cee115b1392a0972144ea548378c83b7 +Subproject commit 07d8558b101f9ff618518ceb824c98e519102b8d From bf5a5873d854c9cb99c2d408322ed1090140a615 Mon Sep 17 00:00:00 2001 From: Anuradha Karuppiah Date: Wed, 7 May 2025 13:44:17 -0700 Subject: [PATCH 30/60] Add a CLI command to list all tools available via the MCP server (#221) This PR: 1. Adds a CLI command for querying MCP tool info 2. Updates the MCP guide to show an end-to-end MCP example using simple-calculator's tools. Sample Usage: 1. Start an mcp server: ``` aiq mcp --config_file examples/simple_calculator/configs/config.yml ``` 4. Get a list of tools supported by the server: ``` (.venv) $ aiq info mcp calculator_multiply calculator_inequality current_datetime calculator_divide calculator_subtract react_agent ``` 5. Get tool details: ``` (.venv) devcontainers@DESKTOP-S84PU86:~/dev/forks/agentiq$ aiq info mcp --tool calculator_multiply Tool: calculator_multiply Description: This is a mathematical tool used to multiply two numbers together. It takes 2 numbers as an input and computes their numeric product as the output. Input Schema: { "properties": { "text": { "description": "", "title": "Text", "type": "string" } }, "required": [ "text" ], "title": "CalculatorMultiplyInputSchema", "type": "object" } ------------------------------------------------------------ ``` 4, For all options: ``` (.venv) $ aiq info mcp --help Usage: aiq info mcp [OPTIONS] COMMAND [ARGS]... List tool names (default), or show details with --detail or --tool. Options: --direct Bypass MCPBuilder and use direct MCP protocol --url TEXT MCP server URL [default: http://localhost:9901/sse] --tool TEXT Get details for a specific tool by name --detail Show full details for all tools --json-output Output tool metadata in JSON format --help Show this message and exit. Commands: list ``` ## By Submitting this PR I confirm: - I am familiar with the [Contributing Guidelines](https://github.com/NVIDIA/AIQToolkit/blob/develop/docs/source/advanced/contributing.md). - We require that all contributors "sign-off" on their commits. This certifies that the contribution is your original work, or you have rights to submit it under the same license, or a compatible license. - Any contribution which contains commits that are not Signed-Off will not be accepted. - When the PR is ready for review, new or existing tests cover these changes. - When the PR is ready for review, the documentation is up to date with these changes. Authors: - Anuradha Karuppiah (https://github.com/AnuradhaKaruppiah) Approvers: - Matthew Penn (https://github.com/mpenn) URL: https://github.com/NVIDIA/AIQToolkit/pull/221 Signed-off-by: Yuchen Zhang --- docs/source/components/mcp.md | 43 ++++++ docs/source/guides/mcp-server.md | 86 +++++++++--- examples/simple_calculator/README.md | 9 +- ...fig-mcp-client.yml => config-mcp-date.yml} | 4 + .../configs/config-mcp-math.yml | 69 ++++++++++ src/aiq/cli/commands/info/info.py | 2 + src/aiq/cli/commands/info/list_mcp.py | 126 ++++++++++++++++++ tests/aiq/cli/commands/info/test_list_mcp.py | 79 +++++++++++ 8 files changed, 395 insertions(+), 23 deletions(-) rename examples/simple_calculator/src/aiq_simple_calculator/configs/{config-mcp-client.yml => config-mcp-date.yml} (87%) create mode 100644 examples/simple_calculator/src/aiq_simple_calculator/configs/config-mcp-math.yml create mode 100644 src/aiq/cli/commands/info/list_mcp.py create mode 100644 tests/aiq/cli/commands/info/test_list_mcp.py diff --git a/docs/source/components/mcp.md b/docs/source/components/mcp.md index d59318da5..13feaf485 100644 --- a/docs/source/components/mcp.md +++ b/docs/source/components/mcp.md @@ -63,3 +63,46 @@ Once configured, a Pydantic input schema will be generated based on the input sc * a string that represents a valid JSON * A python dictionary * Keyword arguments + +## Hosting tools via the AIQ Toolkit MCP Server +In addition to the MCP Client Tool, the AIQ Toolkit provides an MCP frontend that can be used to serve tools as an MCP server. +For instructions on how to host tools via the AIQ Toolkit MCP Server, please refer to the [MCP Server](../guides/mcp-server.md) guide. + +## CLI Commands +The `aiq info mcp` command can be used to list the tools served by an MCP server. +```bash +aiq info mcp -- +``` +Sample output: +``` +calculator_multiply +calculator_inequality +calculator_divide +calculator_subtract +``` + +To get more detailed information about a specific tool, you can use the `--tool` flag. +```bash +aiq info mcp --tool calculator_multiply +``` +Sample output: +``` +Tool: calculator_multiply +Description: This is a mathematical tool used to multiply two numbers together. It takes 2 numbers as an input and computes their numeric product as the output. +Input Schema: +{ + "properties": { + "text": { + "description": "", + "title": "Text", + "type": "string" + } + }, + "required": [ + "text" + ], + "title": "CalculatorMultiplyInputSchema", + "type": "object" +} +------------------------------------------------------------ +``` diff --git a/docs/source/guides/mcp-server.md b/docs/source/guides/mcp-server.md index c72769921..b4b5b4365 100644 --- a/docs/source/guides/mcp-server.md +++ b/docs/source/guides/mcp-server.md @@ -23,39 +23,78 @@ The MCP front-end in AIQ Toolkit allows you to expose your workflow functions as ## Using the MCP Front-End -The MCP front-end is invoked using the `aiq mcp` command (which is an alias for `aiq start mcp`). This command starts an MCP server that exposes the functions from your workflow as MCP tools. +The MCP front-end is invoked using the `aiq mcp` command. This command starts an MCP server that exposes the functions from your workflow as MCP tools. -### Configuration +### Sample Usage -The MCP front-end can be configured with the following options: +To start an MCP server exposing all tools from your workflow: +```bash +aiq mcp --config_file examples/simple_calculator/configs/config.yml ``` ---config_file FILE A JSON/YAML file with the workflow configuration (required) ---override ... Override config values using dot notation ---name TEXT Name of the MCP server ---host TEXT Host to bind the server to ---port INTEGER Port to bind the server to ---debug BOOLEAN Enable debug mode ---log_level TEXT Log level for the MCP server ---tool_names TEXT Comma-separated list of tool names to expose + +This will: +1. Load the workflow configuration from the specified file +2. Start an MCP server on the default host (localhost) and port (9901) +3. Expose all tools from the workflow as MCP tools + +You can also specify a list of tool names to expose: + +```bash +aiq mcp --config_file examples/simple_calculator/configs/config.yml \ + --tool_names calculator_multiply \ + --tool_names calculator_divide \ + --tool_names calculator_subtract \ + --tool_names calculator_inequality ``` -### Example Usage +### Listing MCP Tools -To start an MCP server exposing a specific tool from your workflow: +To list the tools exposed by the MCP server you can use the `aiq info mcp` command. This command acts as a MCP client and connects to the MCP server running on the specified URL (defaults to `http://localhost:9901/sse`). ```bash -aiq mcp --config_file examples/agents/mixture_of_agents/configs/config.yml --tool_names math_agent +aiq info mcp ``` -This will: -1. Load the workflow configuration from the specified file -2. Start an MCP server on the default host (localhost) and port (9901) -3. Expose only the `math_agent` function from the workflow as an MCP tool +Sample output: +``` +calculator_multiply +calculator_inequality +calculator_divide +calculator_subtract +``` + +To get more information about a specific tool, use the `--detail` flag or the `--tool` flag followed by the tool name. + +```bash +aiq info mcp --tool calculator_multiply +``` + +Sample output: +``` +Tool: calculator_multiply +Description: This is a mathematical tool used to multiply two numbers together. It takes 2 numbers as an input and computes their numeric product as the output. +Input Schema: +{ + "properties": { + "text": { + "description": "", + "title": "Text", + "type": "string" + } + }, + "required": [ + "text" + ], + "title": "CalculatorMultiplyInputSchema", + "type": "object" +} +------------------------------------------------------------ +``` ### Accessing the MCP Tools -Once the MCP server is running, any MCP-compatible client can connect to it and use the exposed tools. For example, an MCP client could connect to `http://localhost:9901/sse` and use the `math_agent`. +Once the MCP server is running, any MCP-compatible client can connect to it and use the exposed tools. For example, an MCP client could connect to `http://localhost:9901/sse` and use the `calculator_multiply` tool. ## Integration with MCP Clients @@ -63,4 +102,11 @@ The AIQ Toolkit MCP front-end implements the Model Context Protocol specificatio 1. MCP-compatible LLM frameworks 2. Other agent frameworks that support MCP -3. Custom applications that implement the MCP client specification +3. Custom applications including AIQ Toolkit applications that implement the MCP client specification + +### Sample Usage +To use the `math` tools exposed by the MCP server you can run the simple calculator example with the `config-mcp-math.yml` config file. +```bash +aiq run --config_file examples/simple_calculator/configs/config-mcp-math.yml --input "Is 2 times 2 greater than the current hour?" +``` +With this configuration, the simple calculator workflow will act as a MCP client and connect to the MCP server running on the specified URL. diff --git a/examples/simple_calculator/README.md b/examples/simple_calculator/README.md index 961b17a8d..ef6f96f8c 100644 --- a/examples/simple_calculator/README.md +++ b/examples/simple_calculator/README.md @@ -242,7 +242,7 @@ curl -X 'POST' \ ## Using MCP Services for running the workflow -The `config-mcp-client.yml` file demonstrates how to use an MCP service as a tool in the AIQ Toolkit `simple_calculator` workflow. +The `config-mcp-date.yml` file demonstrates how to use an MCP service as a tool in the AIQ Toolkit `simple_calculator` workflow. ### MCP Server Setup @@ -250,10 +250,10 @@ Follow the instructions in the [MCP Server README](../mcp_server/README.md) to s ### Running the workflow with MCP service -The `config-mcp-client.yml` file demonstrates how to use an MCP service as a tool in the AIQ Toolkit `simple_calculator` workflow. +The `config-mcp-date.yml` file demonstrates how to use an MCP service as a tool in the AIQ Toolkit `simple_calculator` workflow. ```bash -aiq run --config_file examples/simple_calculator/configs/config-mcp-client.yml --input "Is the product of 2 * 4 greater than the current hour of the day?" +aiq run --config_file examples/simple_calculator/configs/config-mcp-date.yml --input "Is the product of 2 * 4 greater than the current hour of the day?" ``` **Expected Output** @@ -287,3 +287,6 @@ Workflow Result: ['No, the product of 2 * 4 (which is 8) is less than the current hour of the day (which is 21).'] -------------------------------------------------- ``` + +## Hosting simple calculator tools via MCP +You can publish the simple calculator tools via MCP by following the instructions in the [MCP Server README](../mcp_server/README.md). diff --git a/examples/simple_calculator/src/aiq_simple_calculator/configs/config-mcp-client.yml b/examples/simple_calculator/src/aiq_simple_calculator/configs/config-mcp-date.yml similarity index 87% rename from examples/simple_calculator/src/aiq_simple_calculator/configs/config-mcp-client.yml rename to examples/simple_calculator/src/aiq_simple_calculator/configs/config-mcp-date.yml index 6b87d5fdd..0758c79fe 100644 --- a/examples/simple_calculator/src/aiq_simple_calculator/configs/config-mcp-client.yml +++ b/examples/simple_calculator/src/aiq_simple_calculator/configs/config-mcp-date.yml @@ -13,6 +13,10 @@ # See the License for the specific language governing permissions and # limitations under the License. +# This config file shows how to use the MCP server to get the current date and time. +# Here the workflow acts as a MCP client and connects to the MCP server running +# on the specified URL (defaults to `http://localhost:8080/sse`). + general: use_uvloop: true diff --git a/examples/simple_calculator/src/aiq_simple_calculator/configs/config-mcp-math.yml b/examples/simple_calculator/src/aiq_simple_calculator/configs/config-mcp-math.yml new file mode 100644 index 000000000..70ab82ea1 --- /dev/null +++ b/examples/simple_calculator/src/aiq_simple_calculator/configs/config-mcp-math.yml @@ -0,0 +1,69 @@ +# SPDX-FileCopyrightText: Copyright (c) 2024-2025, NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +# This config file shows how to use the MCP server to access the `math` tools. +# Here the workflow acts as a MCP client and connects to the MCP server running +# on the specified URL (defaults to `http://localhost:9901/sse`). + +general: + use_uvloop: true + +functions: + calculator_multiply: + _type: mcp_tool_wrapper + url: "http://0.0.0.0:9901/sse" + mcp_tool_name: calculator_multiply + description: "Returns the product of two numbers" + calculator_inequality: + _type: mcp_tool_wrapper + url: "http://0.0.0.0:9901/sse" + mcp_tool_name: calculator_inequality + description: "Returns the inequality of two numbers" + calculator_divide: + _type: mcp_tool_wrapper + url: "http://0.0.0.0:9901/sse" + mcp_tool_name: calculator_divide + description: "Returns the quotient of two numbers" + current_datetime: + _type: current_datetime + calculator_subtract: + _type: mcp_tool_wrapper + url: "http://0.0.0.0:9901/sse" + mcp_tool_name: calculator_subtract + description: "Returns the difference of two numbers" + +llms: + nim_llm: + _type: nim + model_name: meta/llama-3.1-70b-instruct + temperature: 0.0 + max_tokens: 1024 + openai_llm: + _type: openai + model_name: gpt-3.5-turbo + max_tokens: 2000 + +workflow: + _type: react_agent + tool_names: + - calculator_multiply + - calculator_inequality + - current_datetime + - calculator_divide + - calculator_subtract + llm_name: nim_llm + verbose: true + retry_parsing_errors: true + max_retries: 3 diff --git a/src/aiq/cli/commands/info/info.py b/src/aiq/cli/commands/info/info.py index e369d5df8..184b38b9d 100644 --- a/src/aiq/cli/commands/info/info.py +++ b/src/aiq/cli/commands/info/info.py @@ -19,6 +19,7 @@ from aiq.cli.commands.info.list_channels import list_channels from aiq.cli.commands.info.list_components import list_components +from aiq.cli.commands.info.list_mcp import list_mcp logger = logging.getLogger(__name__) @@ -35,3 +36,4 @@ def info_command(**kwargs): info_command.add_command(list_components, name="components") info_command.add_command(list_channels, "channels") +info_command.add_command(list_mcp, "mcp") diff --git a/src/aiq/cli/commands/info/list_mcp.py b/src/aiq/cli/commands/info/list_mcp.py new file mode 100644 index 000000000..1cd09a4f6 --- /dev/null +++ b/src/aiq/cli/commands/info/list_mcp.py @@ -0,0 +1,126 @@ +# SPDX-FileCopyrightText: Copyright (c) 2025, NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import json +import logging + +import anyio +import click + +from aiq.tool.mcp.mcp_client import MCPBuilder + +# Suppress verbose logs from mcp.client.sse and httpx +logging.getLogger("mcp.client.sse").setLevel(logging.WARNING) +logging.getLogger("httpx").setLevel(logging.WARNING) + + +def format_tool(tool): + name = getattr(tool, 'name', None) + description = getattr(tool, 'description', '') + input_schema = getattr(tool, 'input_schema', None) or getattr(tool, 'inputSchema', None) + + schema_str = None + if input_schema: + if hasattr(input_schema, "schema_json"): + schema_str = input_schema.schema_json(indent=2) + else: + schema_str = str(input_schema) + + return { + "name": name, + "description": description, + "input_schema": schema_str, + } + + +def print_tool(tool_dict, detail=False): + click.echo(f"Tool: {tool_dict['name']}") + if detail or tool_dict.get('input_schema') or tool_dict.get('description'): + click.echo(f"Description: {tool_dict['description']}") + if tool_dict["input_schema"]: + click.echo("Input Schema:") + click.echo(tool_dict["input_schema"]) + else: + click.echo("Input Schema: None") + click.echo("-" * 60) + + +async def list_tools_and_schemas(url, tool_name=None): + builder = MCPBuilder(url=url) + try: + if tool_name: + tool = await builder.get_tool(tool_name) + return [format_tool(tool)] + else: + tools = await builder.get_tools() + return [format_tool(tool) for tool in tools.values()] + except Exception as e: + click.echo(f"[ERROR] Failed to fetch tools via MCPBuilder: {e}", err=True) + return [] + + +async def list_tools_direct(url, tool_name=None): + from mcp import ClientSession + from mcp.client.sse import sse_client + + try: + async with sse_client(url=url) as (read, write): + async with ClientSession(read, write) as session: + await session.initialize() + response = await session.list_tools() + + tools = [] + for tool in response.tools: + if tool_name: + if tool.name == tool_name: + return [format_tool(tool)] + else: + tools.append(format_tool(tool)) + if tool_name and not tools: + click.echo(f"[INFO] Tool '{tool_name}' not found.") + return tools + except Exception as e: + click.echo(f"[ERROR] Failed to fetch tools via direct protocol: {e}", err=True) + return [] + + +@click.group(invoke_without_command=True, help="List tool names (default), or show details with --detail or --tool.") +@click.option('--direct', is_flag=True, help='Bypass MCPBuilder and use direct MCP protocol') +@click.option('--url', default='http://localhost:9901/sse', show_default=True, help='MCP server URL') +@click.option('--tool', default=None, help='Get details for a specific tool by name') +@click.option('--detail', is_flag=True, help='Show full details for all tools') +@click.option('--json-output', is_flag=True, help='Output tool metadata in JSON format') +@click.pass_context +def list_mcp(ctx, direct, url, tool, detail, json_output): + """ + List tool names (default). Use --detail for full output. If --tool is provided, + always show full output for that tool. + """ + if ctx.invoked_subcommand is not None: + return + fetcher = list_tools_direct if direct else list_tools_and_schemas + tools = anyio.run(fetcher, url, tool) + + if json_output: + click.echo(json.dumps(tools, indent=2)) + elif tool: + for tool_dict in tools: + print_tool(tool_dict, detail=True) + elif detail: + for tool_dict in tools: + print_tool(tool_dict, detail=True) + else: + for tool_dict in tools: + click.echo(tool_dict['name']) diff --git a/tests/aiq/cli/commands/info/test_list_mcp.py b/tests/aiq/cli/commands/info/test_list_mcp.py new file mode 100644 index 000000000..03eaa6110 --- /dev/null +++ b/tests/aiq/cli/commands/info/test_list_mcp.py @@ -0,0 +1,79 @@ +# SPDX-FileCopyrightText: Copyright (c) 2025, NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +from unittest.mock import AsyncMock +from unittest.mock import patch + +import pytest +from click.testing import CliRunner + +# Replace this with the correct filename for your CLI script +from aiq.cli.commands.info.list_mcp import list_mcp + + +@pytest.fixture +def mock_tools(): + return [ + { + "name": "tool_a", + "description": "Tool A description", + "input_schema": None, + }, + { + "name": "tool_b", + "description": "Tool B description", + "input_schema": '{"type": "object", "properties": {"x": {"type": "number"}}}', + }, + ] + + +@patch("aiq.cli.commands.info.list_mcp.list_tools_and_schemas", new_callable=AsyncMock) +def test_list_tool_names(mock_fetcher, mock_tools): + mock_fetcher.return_value = mock_tools + runner = CliRunner() + result = runner.invoke(list_mcp, []) + assert result.exit_code == 0 + assert "tool_a" in result.output + assert "tool_b" in result.output + + +@patch("aiq.cli.commands.info.list_mcp.list_tools_and_schemas", new_callable=AsyncMock) +def test_list_tool_details(mock_fetcher, mock_tools): + mock_fetcher.return_value = mock_tools + runner = CliRunner() + result = runner.invoke(list_mcp, ["--detail"]) + assert result.exit_code == 0 + assert "Description: Tool A description" in result.output + assert "Input Schema:" in result.output + + +@patch("aiq.cli.commands.info.list_mcp.list_tools_and_schemas", new_callable=AsyncMock) +def test_list_json_output(mock_fetcher, mock_tools): + mock_fetcher.return_value = mock_tools + runner = CliRunner() + result = runner.invoke(list_mcp, ["--json-output"]) + assert result.exit_code == 0 + assert '"name": "tool_a"' in result.output + assert result.output.strip().startswith("[") + + +@patch("aiq.cli.commands.info.list_mcp.list_tools_and_schemas", new_callable=AsyncMock) +def test_list_specific_tool(mock_fetcher, mock_tools): + mock_fetcher.return_value = [mock_tools[1]] # return only one tool + runner = CliRunner() + result = runner.invoke(list_mcp, ["--tool", "tool_b"]) + assert result.exit_code == 0 + assert "Tool: tool_b" in result.output + assert "Description: Tool B description" in result.output From ef4d5034a0363c32bad5406074e78043082e7ee7 Mon Sep 17 00:00:00 2001 From: Anuradha Karuppiah Date: Wed, 7 May 2025 16:56:08 -0700 Subject: [PATCH 31/60] For remote evaluation, workflow config is not needed (#225) Closes ## By Submitting this PR I confirm: - I am familiar with the [Contributing Guidelines](https://github.com/NVIDIA/AIQToolkit/blob/develop/docs/source/advanced/contributing.md). - We require that all contributors "sign-off" on their commits. This certifies that the contribution is your original work, or you have rights to submit it under the same license, or a compatible license. - Any contribution which contains commits that are not Signed-Off will not be accepted. - When the PR is ready for review, new or existing tests cover these changes. - When the PR is ready for review, the documentation is up to date with these changes. Authors: - Anuradha Karuppiah (https://github.com/AnuradhaKaruppiah) Approvers: - David Gardner (https://github.com/dagardner-nv) URL: https://github.com/NVIDIA/AIQToolkit/pull/225 Signed-off-by: Yuchen Zhang --- docs/source/guides/evaluate-api.md | 8 +- .../aiq_simple/configs/eval_only_config.yml | 74 +++++++++++++++++++ src/aiq/builder/eval_builder.py | 6 +- src/aiq/builder/workflow_builder.py | 12 ++- 4 files changed, 94 insertions(+), 6 deletions(-) create mode 100644 examples/simple/src/aiq_simple/configs/eval_only_config.yml diff --git a/docs/source/guides/evaluate-api.md b/docs/source/guides/evaluate-api.md index b8bd46bc4..27365982a 100644 --- a/docs/source/guides/evaluate-api.md +++ b/docs/source/guides/evaluate-api.md @@ -41,6 +41,8 @@ aiq serve --config_file=examples/simple/configs/config.yml ## Evaluate Request and Response The /evaluate endpoint allows you to start an evaluation job. The request is stored for background processing, and the server returns a job ID for tracking the job status. +The `config_file` parameter is the path to the evaluation configuration file on the remote server. Only the `eval` section of the config file is used for evaluation. The `workflow` section is not required. If the `workflow` section is provided, it is instantiated but not used. So it is recommended to not provide a `workflow` section in the evaluation configuration file. + ### Evaluate Request - **Route**: `/evaluate` - **Method**: `POST` @@ -51,7 +53,7 @@ curl --request POST \ --url http://localhost:8000/evaluate \ --header 'Content-Type: application/json' \ --data '{ - "config_file": "examples/simple/configs/eval_config.yml", + "config_file": "examples/simple/configs/eval_only_config.yml", "expiry_seconds": 600 }' | jq ``` @@ -104,7 +106,7 @@ The response contains the status of the job, including the job ID, status, and a { "job_id": "882317f0-6149-4b29-872b-9c8018d64784", "status": "success", - "config_file": "examples/simple/configs/eval_config.yml", + "config_file": "examples/simple/configs/eval_only_config.yml", "error": null, "output_path": ".tmp/aiq/examples/simple/jobs/882317f0-6149-4b29-872b-9c8018d64784", "created_at": "2025-04-11T17:33:38.018904Z", @@ -141,7 +143,7 @@ curl --request GET \ { "job_id": "df6fddd7-2adf-45dd-a105-8559a7569ec9", "status": "success", - "config_file": "examples/simple/configs/eval_config.yml", + "config_file": "examples/simple/configs/eval_only_config.yml", "error": null, "output_path": ".tmp/aiq/examples/simple/jobs/df6fddd7-2adf-45dd-a105-8559a7569ec9", "created_at": "2025-04-11T17:33:16.711636Z", diff --git a/examples/simple/src/aiq_simple/configs/eval_only_config.yml b/examples/simple/src/aiq_simple/configs/eval_only_config.yml new file mode 100644 index 000000000..97e98bb15 --- /dev/null +++ b/examples/simple/src/aiq_simple/configs/eval_only_config.yml @@ -0,0 +1,74 @@ +# SPDX-FileCopyrightText: Copyright (c) 2024-2025, NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + + +general: + use_uvloop: true + +llms: + nim_rag_eval_llm: + _type: nim + model_name: meta/llama-3.1-70b-instruct + max_tokens: 8 + nim_trajectory_eval_llm: + _type: nim + model_name: meta/llama-3.1-70b-instruct + temperature: 0.0 + max_tokens: 1024 + +eval: + general: + output: + dir: ./.tmp/aiq/examples/simple/ + cleanup: true + dataset: + _type: json + file_path: examples/simple/data/langsmith.json + profiler: + # Compute inter query token uniqueness + token_uniqueness_forecast: true + # Compute expected workflow runtime + workflow_runtime_forecast: true + # Compute inference optimization metrics + compute_llm_metrics: true + # Avoid dumping large text into the output CSV (helpful to not break structure) + csv_exclude_io_text: true + # Idenitfy common prompt prefixes + prompt_caching_prefixes: + enable: true + min_frequency: 0.1 + bottleneck_analysis: + # Can also be simple_stack + enable_nested_stack: true + concurrency_spike_analysis: + enable: true + spike_threshold: 7 + + evaluators: + rag_accuracy: + _type: ragas + metric: AnswerAccuracy + llm_name: nim_rag_eval_llm + rag_groundedness: + _type: ragas + metric: ResponseGroundedness + llm_name: nim_rag_eval_llm + rag_relevance: + _type: ragas + metric: ContextRelevance + llm_name: nim_rag_eval_llm + trajectory_accuracy: + _type: trajectory + llm_name: nim_trajectory_eval_llm diff --git a/src/aiq/builder/eval_builder.py b/src/aiq/builder/eval_builder.py index 0f64f1c61..52c962202 100644 --- a/src/aiq/builder/eval_builder.py +++ b/src/aiq/builder/eval_builder.py @@ -27,6 +27,7 @@ from aiq.data_models.config import GeneralConfig from aiq.data_models.evaluate import EvalGeneralConfig from aiq.data_models.evaluator import EvaluatorBaseConfig +from aiq.data_models.function import EmptyFunctionConfig from aiq.utils.type_utils import override logger = logging.getLogger(__name__) @@ -102,7 +103,10 @@ def get_all_tools(self, wrapper_type: LLMFrameworkEnum | str): return tools async def populate_builder(self, config: AIQConfig): - await super().populate_builder(config) + # Skip setting workflow if workflow config is EmptyFunctionConfig + skip_workflow = isinstance(config.workflow, EmptyFunctionConfig) + + await super().populate_builder(config, skip_workflow) # Instantiate the evaluators for name, evaluator_config in config.eval.evaluators.items(): await self.add_evaluator(name, evaluator_config) diff --git a/src/aiq/builder/workflow_builder.py b/src/aiq/builder/workflow_builder.py index 0dc34dbf7..654202d7d 100644 --- a/src/aiq/builder/workflow_builder.py +++ b/src/aiq/builder/workflow_builder.py @@ -586,8 +586,15 @@ async def get_retriever_config(self, retriever_name: str | RetrieverRef) -> Retr def get_user_manager(self): return UserManagerHolder(context=AIQContext(self._context_state)) - async def populate_builder(self, config: AIQConfig): + async def populate_builder(self, config: AIQConfig, skip_workflow: bool = False): + """ + Populate the builder with components and optionally set up the workflow. + + Args: + config (AIQConfig): The configuration object containing component definitions. + skip_workflow (bool): If True, skips the workflow instantiation step. Defaults to False. + """ # Generate the build sequence build_sequence = build_dependency_sequence(config) @@ -614,7 +621,8 @@ async def populate_builder(self, config: AIQConfig): raise ValueError(f"Unknown component group {component_instance.component_group}") # Instantiate the workflow - await self.set_workflow(config.workflow) + if not skip_workflow: + await self.set_workflow(config.workflow) @classmethod @asynccontextmanager From 46db735eca33d9717c55b3ad479dd7041bcee8cd Mon Sep 17 00:00:00 2001 From: hsin-c <109615347+hsin-c@users.noreply.github.com> Date: Thu, 8 May 2025 11:31:25 -0700 Subject: [PATCH 32/60] Move configurable parameters from env vars to config file (#222) This PR moves the parameters used by the model in the environment variables to the config file for easier parameter tracking. Closes #213 Tested offline and validated the generation of an expected output file. Authors: - https://github.com/hsin-c Approvers: - David Gardner (https://github.com/dagardner-nv) - Anuradha Karuppiah (https://github.com/AnuradhaKaruppiah) URL: https://github.com/NVIDIA/AIQToolkit/pull/222 Signed-off-by: Yuchen Zhang --- examples/alert_triage_agent/.env_example | 35 ------ examples/alert_triage_agent/README.md | 119 ++++++++++++++---- .../{config.yml => config_live_mode.yml} | 12 ++ .../configs/config_test_mode.yml | 103 +++++++++++++++ .../hardware_check_tool.py | 6 +- .../host_performance_check_tool.py | 6 +- .../maintenance_check.py | 16 ++- .../monitoring_process_check_tool.py | 7 +- .../network_connectivity_check_tool.py | 6 +- .../src/aiq_alert_triage_agent/register.py | 36 +++--- ...metry_metrics_host_heartbeat_check_tool.py | 6 +- ...try_metrics_host_performance_check_tool.py | 10 +- .../src/aiq_alert_triage_agent/utils.py | 72 ++++------- 13 files changed, 286 insertions(+), 148 deletions(-) delete mode 100644 examples/alert_triage_agent/.env_example rename examples/alert_triage_agent/src/aiq_alert_triage_agent/configs/{config.yml => config_live_mode.yml} (87%) create mode 100644 examples/alert_triage_agent/src/aiq_alert_triage_agent/configs/config_test_mode.yml diff --git a/examples/alert_triage_agent/.env_example b/examples/alert_triage_agent/.env_example deleted file mode 100644 index e1bdaad26..000000000 --- a/examples/alert_triage_agent/.env_example +++ /dev/null @@ -1,35 +0,0 @@ -# SPDX-FileCopyrightText: Copyright (c) 2025, NVIDIA CORPORATION & AFFILIATES. All rights reserved. -# SPDX-License-Identifier: Apache-2.0 - -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at - -# http://www.apache.org/licenses/LICENSE-2.0 - -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -# Example .env file -# Required for accessing NVIDIA AI services -NVIDIA_API_KEY="" - -# Set to "true" to run agent in test mode using synthetic data instead of live systems -TEST_MODE=true - -# All file paths below should be relative to register.py location - -# Path to CSV containing scheduled maintenance window data -MAINTENANCE_STATIC_DATA_PATH="data/maintenance_static_dataset.csv" - -# Main test dataset in CSV format containing alerts and their simulated environments -TEST_DATA_RELATIVE_FILEPATH="data/test_data.csv" - -# JSON file with baseline/normal system behavior data -TEST_BENIGN_DATA_RELATIVE_FILEPATH="data/benign_fallback_test_data.json" - -# Path where test results will be saved as a CSV file -TEST_OUTPUT_RELATIVE_FILEPATH=".tmp/aiq/examples/aiq_alert_triage_agent/output/test_output.csv" diff --git a/examples/alert_triage_agent/README.md b/examples/alert_triage_agent/README.md index f3c828b81..f2e1cc4be 100644 --- a/examples/alert_triage_agent/README.md +++ b/examples/alert_triage_agent/README.md @@ -30,6 +30,10 @@ This example demonstrates how to build an intelligent alert triage system using - [5. Root Cause Categorization](#5-root-cause-categorization) - [6. Report Generation](#6-report-generation) - [7. Analyst Review](#7-analyst-review) + - [Understanding the config](#understanding-the-config) + - [Functions](#functions) + - [Workflow](#workflow) + - [LLMs](#llms) - [Installation and setup](#installation-and-setup) - [Install this workflow](#install-this-workflow) - [Set up environment variables](#set-up-environment-variables) @@ -141,6 +145,79 @@ The triage agent may call one or more of the following tools based on the alert #### 7. Analyst Review - The final report is presented to an Analyst for review, action, or escalation. +### Understanding the config + +#### Functions + +Each entry in the `functions` section defines a tool or sub-agent that can be invoked by the main workflow agent. Tools can operate in test mode, using mocked data for simulation. + +Example: + +```yaml +hardware_check: + _type: hardware_check + llm_name: tool_reasoning_llm + test_mode: true +``` + +* `_type`: Identifies the name of the tool (matching the names in the tools' python files.) +* `llm_name`: LLM used to support the tool’s reasoning of the raw fetched data. +* `test_mode`: If `true`, the tool uses predefined mock results for offline testing. + +Some entries, like `telemetry_metrics_analysis_agent`, are sub-agents that coordinate multiple tools: + +```yaml +telemetry_metrics_analysis_agent: + _type: telemetry_metrics_analysis_agent + tool_names: + - telemetry_metrics_host_heartbeat_check + - telemetry_metrics_host_performance_check + llm_name: telemetry_metrics_analysis_agent_llm +``` +#### Workflow + +The `workflow` section defines the primary agent’s execution. + +```yaml +workflow: + _type: alert_triage_agent + tool_names: + - hardware_check + - ... + llm_name: ata_agent_llm + test_mode: true + test_data_path: ... + benign_fallback_data_path: ... + test_output_path: ... +``` + +* `_type`: The name of the agent (matching the agent's name in `register.py`). +* `tool_names`: List of tools (from the `functions` section) used in the triage process. +* `llm_name`: Main LLM used by the agent for reasoning, tool-calling, and report generation. +* `test_mode`: Enables test execution using predefined input/output instead of real systems. +* `test_data_path`: CSV file containing test alerts and their corresponding mocked tool responses. +* `benign_fallback_data_path`: JSON file with baseline healthy system responses for tools not explicitly mocked. +* `test_output_path`: Output CSV file path where the agent writes triage results. Each processed alert adds a new `output` column with the generated report. + +#### LLMs + +The `llms` section defines the available LLMs for various parts of the system. + +Example: + +```yaml +ata_agent_llm: + _type: nim + model_name: meta/llama-3.3-70b-instruct + temperature: 0.2 + max_tokens: 2048 +``` + +* `_type`: Backend type (e.g., `nim` for NVIDIA Inference Microservice). +* `model_name`: LLM mode name. +* `temperature`, `top_p`, `max_tokens`: LLM generation parameters (passed directly into the API). + +Each tool or agent can use a dedicated LLM tailored for its task. ## Installation and setup @@ -155,22 +232,9 @@ uv pip install -e ./examples/alert_triage_agent ``` ### Set up environment variables -In addition to the `NVIDIA_API_KEY` required by AIQ Toolkit, the following environment variables are required for this example. A sample `.env` file is provided in the [.env_example](.env_example) file: - -- `TEST_MODE`: Set to "true" to run the agent in test mode which processes alerts using test data instead of live systems -- `MAINTENANCE_STATIC_DATA_PATH`: Path to CSV file containing static maintenance window data -- `TEST_DATA_RELATIVE_FILEPATH`: Main source of test data in CSV format, containing alerts and their simulated environments to process - - Contains alerts and their corresponding simulated environments represented by mocked tool return values - - When the agent queries tools to understand the alert environment, it receives these pre-configured synthetic responses - - Enables testing in a controlled environment without connecting to real hosts/systems -- `TEST_BENIGN_DATA_RELATIVE_FILEPATH`: JSON file containing baseline/normal system behavior data - - Provides fallback responses for tools not explicitly mocked in the main test data - - Contains "benign" or normal system state data that tools should return when not part of the simulated issue - - Used when the agent queries tools beyond those relevant to the test case, simulating healthy parts of the system -- `TEST_OUTPUT_RELATIVE_FILEPATH`: Path where test results will be saved in CSV format - - -To load the environment variables from your .env file, run: +As mentioned in the Install Guide, an `NVIDIA_API_KEY` environment variable is required to run AIQ Toolkit. + +If you have your key in a `.env` file, use the following command to load it: ```bash export $(grep -v '^#' .env | xargs) ``` @@ -188,22 +252,28 @@ In live mode, each tool used by the triage agent connects to real systems to col To run the agent live, follow these steps: 1. **Configure all tools with real environment details** + By default, the agent includes placeholder values for API endpoints, host IP addresses, credentials, and other access parameters. You must: - Replace these placeholders with the actual values specific to your systems - Ensure the agent has access permissions to query APIs or connect to hosts - Test each tool in isolation to confirm it works end-to-end 2. **Add custom tools if needed** + If your environment includes unique systems or data sources, you can define new tools or modify existing ones. This allows your triage agent to pull in the most relevant data for your alerts and infrastructure. 3. **Disable test mode** - Set the environment variable `TEST_MODE=false` to ensure the agent uses real data instead of synthetic test datasets. + + Set `test_mode: false` in the workflow section and for each tool in the functions section of your config file to ensure the agent uses real data instead of synthetic test datasets. + + You can also selectively keep some tools in test mode by leaving their `test_mode: true` for more granular testing. 4. **Run the agent with a real alert** + Provide a live alert in JSON format and invoke the agent using: ```bash - aiq run --config_file=examples/alert_triage_agent/configs/config.yml --input {your_alert_in_json_format} + aiq run --config_file=examples/alert_triage_agent/configs/config_live_mode.yml --input {your_alert_in_json_format} ``` This will trigger a full end-to-end triage process using live data sources. @@ -306,9 +376,10 @@ Test mode lets you evaluate the triage agent in a controlled, offline environmen To run in test mode: 1. **Set required environment variables** -Follow the instructions in the [Set up environment variables](#set-up-environment-variables) section to make sure all variables are set. (`TEST_MODE=true`) -2. **How it works** + Make sure `test_mode: true` is set in both the `workflow` section and individual tool sections of your config file (see [Understanding the config](#understanding-the-config) section). + +1. **How it works** - The **main test CSV** provides both alert details and a mock environment. For each alert, expected tool return values are included. These simulate how the environment would behave if the alert occurred on a real system. - The **benign fallback dataset** fills in tool responses when the agent calls a tool not explicitly defined in the alert's test data. These fallback responses mimic healthy system behavior and help provide the "background scenery" without obscuring the true root cause. @@ -316,17 +387,17 @@ Follow the instructions in the [Set up environment variables](#set-up-environmen Run the agent with: ```bash - aiq run --config_file=examples/alert_triage_agent/configs/config.yml --input "test_mode" + aiq run --config_file=examples/alert_triage_agent/configs/config_test_mode.yml --input "test_mode" ``` Note: The `--input` value is ignored in test mode. The agent will: - - Load alerts from the test dataset `TEST_DATA_RELATIVE_FILEPATH` + - Load alerts from the test dataset specified in `test_data_path` in the workflow config - Simulate an investigation using predefined tool results - Iterate through all the alerts in the dataset - - Save reports as a new column in a copy of the test CSV file to the path specified in `TEST_OUTPUT_RELATIVE_FILEPATH` + - Save reports as a new column in a copy of the test CSV file to the path specified in `test_output_path` in the workflow config -4. **Understanding the output** +2. **Understanding the output** The output file will contain a new column named `output`, which includes the markdown report generated by the agent for each data point (i.e., each row in the CSV). Navigate to that rightmost `output` column to view the report for each test entry. diff --git a/examples/alert_triage_agent/src/aiq_alert_triage_agent/configs/config.yml b/examples/alert_triage_agent/src/aiq_alert_triage_agent/configs/config_live_mode.yml similarity index 87% rename from examples/alert_triage_agent/src/aiq_alert_triage_agent/configs/config.yml rename to examples/alert_triage_agent/src/aiq_alert_triage_agent/configs/config_live_mode.yml index a2d65f8a5..1acd676ea 100644 --- a/examples/alert_triage_agent/src/aiq_alert_triage_agent/configs/config.yml +++ b/examples/alert_triage_agent/src/aiq_alert_triage_agent/configs/config_live_mode.yml @@ -20,21 +20,27 @@ functions: hardware_check: _type: hardware_check llm_name: tool_reasoning_llm + test_mode: false host_performance_check: _type: host_performance_check llm_name: tool_reasoning_llm + test_mode: false monitoring_process_check: _type: monitoring_process_check llm_name: tool_reasoning_llm + test_mode: false network_connectivity_check: _type: network_connectivity_check llm_name: tool_reasoning_llm + test_mode: false telemetry_metrics_host_heartbeat_check: _type: telemetry_metrics_host_heartbeat_check llm_name: tool_reasoning_llm + test_mode: false telemetry_metrics_host_performance_check: _type: telemetry_metrics_host_performance_check llm_name: tool_reasoning_llm + test_mode: false telemetry_metrics_analysis_agent: _type: telemetry_metrics_analysis_agent tool_names: @@ -44,6 +50,7 @@ functions: maintenance_check: _type: maintenance_check llm_name: maintenance_check_llm + static_data_path: examples/alert_triage_agent/data/maintenance_static_dataset.csv categorizer: _type: categorizer llm_name: categorizer_llm @@ -57,6 +64,11 @@ workflow: - network_connectivity_check - telemetry_metrics_analysis_agent llm_name: ata_agent_llm + test_mode: false + # The below paths are only used if test_mode is true + test_data_path: null + benign_fallback_data_path: null + test_output_path: null llms: ata_agent_llm: diff --git a/examples/alert_triage_agent/src/aiq_alert_triage_agent/configs/config_test_mode.yml b/examples/alert_triage_agent/src/aiq_alert_triage_agent/configs/config_test_mode.yml new file mode 100644 index 000000000..a7b8b811b --- /dev/null +++ b/examples/alert_triage_agent/src/aiq_alert_triage_agent/configs/config_test_mode.yml @@ -0,0 +1,103 @@ +# SPDX-FileCopyrightText: Copyright (c) 2025, NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +general: + use_uvloop: true + +functions: + hardware_check: + _type: hardware_check + llm_name: tool_reasoning_llm + test_mode: true + host_performance_check: + _type: host_performance_check + llm_name: tool_reasoning_llm + test_mode: true + monitoring_process_check: + _type: monitoring_process_check + llm_name: tool_reasoning_llm + test_mode: true + network_connectivity_check: + _type: network_connectivity_check + llm_name: tool_reasoning_llm + test_mode: true + telemetry_metrics_host_heartbeat_check: + _type: telemetry_metrics_host_heartbeat_check + llm_name: tool_reasoning_llm + test_mode: true + telemetry_metrics_host_performance_check: + _type: telemetry_metrics_host_performance_check + llm_name: tool_reasoning_llm + test_mode: true + telemetry_metrics_analysis_agent: + _type: telemetry_metrics_analysis_agent + tool_names: + - telemetry_metrics_host_heartbeat_check + - telemetry_metrics_host_performance_check + llm_name: telemetry_metrics_analysis_agent_llm + maintenance_check: + _type: maintenance_check + llm_name: maintenance_check_llm + static_data_path: examples/alert_triage_agent/data/maintenance_static_dataset.csv + categorizer: + _type: categorizer + llm_name: categorizer_llm + +workflow: + _type: alert_triage_agent + tool_names: + - hardware_check + - host_performance_check + - monitoring_process_check + - network_connectivity_check + - telemetry_metrics_analysis_agent + llm_name: ata_agent_llm + test_mode: true + # The below paths are only used if test_mode is true + test_data_path: examples/alert_triage_agent/data/test_data.csv + benign_fallback_data_path: examples/alert_triage_agent/data/benign_fallback_test_data.json + test_output_path: .tmp/aiq/examples/alert_triage_agent/output/test_output.csv + +llms: + ata_agent_llm: + _type: nim + model_name: meta/llama-3.3-70b-instruct + temperature: 0.2 + max_tokens: 2048 + + tool_reasoning_llm: + _type: nim + model_name: meta/llama-3.3-70b-instruct + temperature: 0.2 + top_p: 0.7 + max_tokens: 2048 + + telemetry_metrics_analysis_agent_llm: + _type: nim + model_name: meta/llama-3.3-70b-instruct + temperature: 0 + max_tokens: 2048 + + maintenance_check_llm: + _type: nim + model_name: meta/llama-3.3-70b-instruct + temperature: 0 + max_tokens: 2048 + + categorizer_llm: + _type: nim + model_name: meta/llama-3.3-70b-instruct + temperature: 0 + max_tokens: 2048 diff --git a/examples/alert_triage_agent/src/aiq_alert_triage_agent/hardware_check_tool.py b/examples/alert_triage_agent/src/aiq_alert_triage_agent/hardware_check_tool.py index a0527add6..bb33237bf 100644 --- a/examples/alert_triage_agent/src/aiq_alert_triage_agent/hardware_check_tool.py +++ b/examples/alert_triage_agent/src/aiq_alert_triage_agent/hardware_check_tool.py @@ -64,24 +64,24 @@ class HardwareCheckToolConfig(FunctionBaseConfig, name="hardware_check"): "hardware degradation, and anomalies that could explain alerts. Args: host_id: str"), description="Description of the tool for the agent.") llm_name: LLMRef + test_mode: bool = Field(default=True, description="Whether to run in test mode") @register_function(config_type=HardwareCheckToolConfig) async def hardware_check_tool(config: HardwareCheckToolConfig, builder: Builder): async def _arun(host_id: str) -> str: - is_test_mode = utils.is_test_mode() utils.log_header("Hardware Status Checker") try: - if not is_test_mode: + if not config.test_mode: ip = "ipmi_ip" # Replace with your actual IPMI IP address user = "ipmi_user" # Replace with your actual username pwd = "ipmi_password" # Replace with your actual password monitoring_data = _get_ipmi_monitor_data(ip, user, pwd) else: # In test mode, load test data from CSV file - df = utils.load_test_data() + df = utils.get_test_data() # Get IPMI data from test data, falling back to static data if needed monitoring_data = utils.load_column_or_static( diff --git a/examples/alert_triage_agent/src/aiq_alert_triage_agent/host_performance_check_tool.py b/examples/alert_triage_agent/src/aiq_alert_triage_agent/host_performance_check_tool.py index 9e1db1e7e..79b762dc9 100644 --- a/examples/alert_triage_agent/src/aiq_alert_triage_agent/host_performance_check_tool.py +++ b/examples/alert_triage_agent/src/aiq_alert_triage_agent/host_performance_check_tool.py @@ -32,6 +32,7 @@ class HostPerformanceCheckToolConfig(FunctionBaseConfig, name="host_performance_ "and hardware I/O usage details for a given host. Args: host_id: str"), description="Description of the tool for the agent.") llm_name: LLMRef + test_mode: bool = Field(default=True, description="Whether to run in test mode") async def _run_ansible_playbook_for_host_performance_check(config: HostPerformanceCheckToolConfig, @@ -110,11 +111,10 @@ async def _parse_stdout_lines(config, builder, stdout_lines): async def host_performance_check_tool(config: HostPerformanceCheckToolConfig, builder: Builder): async def _arun(host_id: str) -> str: - is_test_mode = utils.is_test_mode() utils.log_header("Host Performance Analyzer") try: - if not is_test_mode: + if not config.test_mode: # In production mode, use actual Ansible connection details # Replace placeholder values with connection info from configuration ansible_host = "your.host.example.name" # Input your target host @@ -132,7 +132,7 @@ async def _arun(host_id: str) -> str: ansible_private_key_path=ansible_private_key_path) else: # In test mode, load performance data from test dataset - df = utils.load_test_data() + df = utils.get_test_data() # Get CPU metrics from test data, falling back to static data if needed data_top_cpu = utils.load_column_or_static(df=df, diff --git a/examples/alert_triage_agent/src/aiq_alert_triage_agent/maintenance_check.py b/examples/alert_triage_agent/src/aiq_alert_triage_agent/maintenance_check.py index 64de5e95f..a17f62944 100644 --- a/examples/alert_triage_agent/src/aiq_alert_triage_agent/maintenance_check.py +++ b/examples/alert_triage_agent/src/aiq_alert_triage_agent/maintenance_check.py @@ -42,6 +42,10 @@ class MaintenanceCheckToolConfig(FunctionBaseConfig, name="maintenance_check"): "if the alert can be deprioritized."), description="Description of the tool for the agent.") llm_name: LLMRef + static_data_path: str | None = Field( + default="examples/alert_triage_agent/data/maintenance_static_dataset.csv", + description=( + "Path to the static maintenance data CSV file. If not provided, the tool will not check for maintenance.")) def _load_maintenance_data(path: str) -> pd.DataFrame: @@ -188,6 +192,8 @@ async def maintenance_check(config: MaintenanceCheckToolConfig, builder: Builder # Set up LLM llm = await builder.get_llm(config.llm_name, wrapper_type=LLMFrameworkEnum.LANGCHAIN) + maintenance_data_path = config.static_data_path + async def _arun(input_message: str) -> str: # NOTE: This is just an example implementation of maintenance status checking using a CSV file. # Users should implement their own maintenance check logic specific to their environment @@ -196,18 +202,15 @@ async def _arun(input_message: str) -> str: utils.log_header("Maintenance Checker") - maintenance_data_path = os.getenv("MAINTENANCE_STATIC_DATA_PATH") if not maintenance_data_path: utils.logger.info("No maintenance data path provided, skipping maintenance check") return NO_ONGOING_MAINTENANCE_STR # the triage agent will run as usual - filepath = os.path.join(os.path.abspath(os.path.dirname(__file__)), maintenance_data_path) - if not os.path.exists(filepath): - utils.logger.info("Maintenance data file does not exist: %s. Skipping maintenance check.", filepath) + if not os.path.exists(maintenance_data_path): + utils.logger.info("Maintenance data file does not exist: %s. Skipping maintenance check.", + maintenance_data_path) return NO_ONGOING_MAINTENANCE_STR # the triage agent will run as usual - maintenance_df = _load_maintenance_data(filepath) - alert = _parse_alert_data(input_message) if alert is None: utils.logger.info("Failed to parse alert from input message, skipping maintenance check") @@ -226,6 +229,7 @@ async def _arun(input_message: str) -> str: utils.logger.error("Failed to parse alert time from input message: %s, skipping maintenance check", e) return NO_ONGOING_MAINTENANCE_STR + maintenance_df = _load_maintenance_data(maintenance_data_path) maintenance_info = _get_active_maintenance(maintenance_df, host, alert_time) if not maintenance_info: utils.logger.info("Host: [%s] is NOT under maintenance according to the maintenance database", host) diff --git a/examples/alert_triage_agent/src/aiq_alert_triage_agent/monitoring_process_check_tool.py b/examples/alert_triage_agent/src/aiq_alert_triage_agent/monitoring_process_check_tool.py index a83030974..542315432 100644 --- a/examples/alert_triage_agent/src/aiq_alert_triage_agent/monitoring_process_check_tool.py +++ b/examples/alert_triage_agent/src/aiq_alert_triage_agent/monitoring_process_check_tool.py @@ -31,6 +31,7 @@ class MonitoringProcessCheckToolConfig(FunctionBaseConfig, name="monitoring_proc "on a target host by executing system commands. Args: host_id: str"), description="Description of the tool for the agent.") llm_name: LLMRef + test_mode: bool = Field(default=True, description="Whether to run in test mode") async def _run_ansible_playbook_for_monitor_process_check(ansible_host: str, @@ -70,10 +71,8 @@ async def _run_ansible_playbook_for_monitor_process_check(ansible_host: str, async def monitoring_process_check_tool(config: MonitoringProcessCheckToolConfig, builder: Builder): async def _arun(host_id: str) -> str: - is_test_mode = utils.is_test_mode() - try: - if not is_test_mode: + if not config.test_mode: # In production mode, use actual Ansible connection details # Replace placeholder values with connection info from configuration ansible_host = "your.host.example.name" # Input your target host @@ -89,7 +88,7 @@ async def _arun(host_id: str) -> str: output_for_prompt = f"`ps` and `top` result:{output}" else: # In test mode, load performance data from test dataset - df = utils.load_test_data() + df = utils.get_test_data() # Load process status data from ps command output ps_data = utils.load_column_or_static(df=df, diff --git a/examples/alert_triage_agent/src/aiq_alert_triage_agent/network_connectivity_check_tool.py b/examples/alert_triage_agent/src/aiq_alert_triage_agent/network_connectivity_check_tool.py index d52385999..cf85dd4d1 100644 --- a/examples/alert_triage_agent/src/aiq_alert_triage_agent/network_connectivity_check_tool.py +++ b/examples/alert_triage_agent/src/aiq_alert_triage_agent/network_connectivity_check_tool.py @@ -62,17 +62,17 @@ class NetworkConnectivityCheckToolConfig(FunctionBaseConfig, name="network_conne "Args: host_id: str"), description="Description of the tool for the agent.") llm_name: LLMRef + test_mode: bool = Field(default=True, description="Whether to run in test mode") @register_function(config_type=NetworkConnectivityCheckToolConfig) async def network_connectivity_check_tool(config: NetworkConnectivityCheckToolConfig, builder: Builder): async def _arun(host_id: str) -> str: - is_test_mode = utils.is_test_mode() utils.log_header("Network Connectivity Tester") try: - if not is_test_mode: + if not config.test_mode: # NOTE: The ping and telnet commands below are example implementations of network connectivity checking. # Users should implement their own network connectivity check logic specific to their environment # and infrastructure setup. @@ -91,7 +91,7 @@ async def _arun(host_id: str) -> str: else: # Load test data - df = utils.load_test_data() + df = utils.get_test_data() # Get ping data from test data, falling back to static data if needed ping_data = utils.load_column_or_static(df=df, diff --git a/examples/alert_triage_agent/src/aiq_alert_triage_agent/register.py b/examples/alert_triage_agent/src/aiq_alert_triage_agent/register.py index 2985fff5d..9af576fe0 100644 --- a/examples/alert_triage_agent/src/aiq_alert_triage_agent/register.py +++ b/examples/alert_triage_agent/src/aiq_alert_triage_agent/register.py @@ -26,10 +26,12 @@ from langgraph.graph import StateGraph from langgraph.prebuilt import ToolNode from langgraph.prebuilt import tools_condition +from pydantic.fields import Field from aiq.builder.builder import Builder from aiq.builder.framework_enum import LLMFrameworkEnum from aiq.cli.register_workflow import register_function +from aiq.data_models.component_ref import LLMRef from aiq.data_models.function import FunctionBaseConfig # Import any tools which need to be automatically registered here @@ -56,7 +58,16 @@ class AlertTriageAgentWorkflowConfig(FunctionBaseConfig, name="alert_triage_agen 4. Categorizing the root cause based on collected evidence """ tool_names: list[str] = [] - llm_name: str + llm_name: LLMRef + test_mode: bool = Field(default=True, description="Whether to run in test mode") + test_data_path: str | None = Field( + default="examples/alert_triage_agent/data/test_data.csv", + description="Path to the main test dataset in CSV format containing alerts and their simulated environments") + benign_fallback_data_path: str | None = Field( + default="examples/alert_triage_agent/data/benign_fallback_test_data.json", + description="Path to the JSON file with baseline/normal system behavior data") + test_output_path: str | None = Field(default=".tmp/aiq/examples/alert_triage_agent/output/test_output.csv", + description="Path to save the test output CSV file") @register_function(config_type=AlertTriageAgentWorkflowConfig, framework_wrappers=[LLMFrameworkEnum.LANGCHAIN]) @@ -138,16 +149,12 @@ async def _response_test_fn(input_message: str) -> str: Returns: Confirmation message after processing completes - - Raises: - ValueError: If TEST_OUTPUT_RELATIVE_FILEPATH environment variable is not set """ - output_filepath = os.getenv("TEST_OUTPUT_RELATIVE_FILEPATH") - if output_filepath is None: - raise ValueError("TEST_OUTPUT_RELATIVE_FILEPATH environment variable must be set") + if config.test_output_path is None: + raise ValueError("test_output_path must be provided") # Load test alerts from CSV file - df = utils.load_test_data() + df = utils.get_test_data() df["output"] = "" # Initialize output column utils.log_header(f"Processing {len(df)} Alerts") @@ -162,17 +169,16 @@ async def _response_test_fn(input_message: str) -> str: utils.log_header("Saving Results") # Write results to output CSV - output_path = os.path.join(os.path.abspath(os.path.dirname(__file__)), output_filepath) - # Create output directory if it doesn't exist - os.makedirs(os.path.dirname(output_path), exist_ok=True) - df.to_csv(output_path, index=False) + os.makedirs(os.path.dirname(config.test_output_path), exist_ok=True) + df.to_csv(config.test_output_path, index=False) utils.log_footer() - return f"Successfully processed {len(df)} alerts. Results saved to {output_filepath}" + return f"Successfully processed {len(df)} alerts. Results saved to {config.test_output_path}" - is_test_mode = utils.is_test_mode() try: - if is_test_mode: + if config.test_mode: + utils.preload_test_data(test_data_path=config.test_data_path, + benign_fallback_data_path=config.benign_fallback_data_path) utils.log_header("Running in test mode", dash_length=120, level=logging.INFO) yield _response_test_fn else: diff --git a/examples/alert_triage_agent/src/aiq_alert_triage_agent/telemetry_metrics_host_heartbeat_check_tool.py b/examples/alert_triage_agent/src/aiq_alert_triage_agent/telemetry_metrics_host_heartbeat_check_tool.py index ea98e57e5..5cb3a6f99 100644 --- a/examples/alert_triage_agent/src/aiq_alert_triage_agent/telemetry_metrics_host_heartbeat_check_tool.py +++ b/examples/alert_triage_agent/src/aiq_alert_triage_agent/telemetry_metrics_host_heartbeat_check_tool.py @@ -32,6 +32,7 @@ class TelemetryMetricsHostHeartbeatCheckToolConfig(FunctionBaseConfig, name="tel "This tells us if the host is up and running. Args: host_id: str"), description="Description of the tool for the agent.") llm_name: LLMRef + test_mode: bool = Field(default=True, description="Whether to run in test mode") @register_function(config_type=TelemetryMetricsHostHeartbeatCheckToolConfig) @@ -39,11 +40,10 @@ async def telemetry_metrics_host_heartbeat_check_tool(config: TelemetryMetricsHo builder: Builder): async def _arun(host_id: str) -> str: - is_test_mode = utils.is_test_mode() utils.log_header("Telemetry Metrics Host Heartbeat Check", dash_length=50) try: - if not is_test_mode: + if not config.test_mode: # NOTE: Replace these placeholder values with your actual telemetry monitoring system details # Example implementation using a monitoring system's API to check host status monitoring_url = "http://your-monitoring-server:9090" # Replace with your monitoring system URL @@ -62,7 +62,7 @@ async def _arun(host_id: str) -> str: data = data["data"] else: # In test mode, load test data from CSV file - df = utils.load_test_data() + df = utils.get_test_data() data = utils.load_column_or_static( df=df, host_id=host_id, column="telemetry_metrics_host_heartbeat_check_tool:heartbeat_check_output") diff --git a/examples/alert_triage_agent/src/aiq_alert_triage_agent/telemetry_metrics_host_performance_check_tool.py b/examples/alert_triage_agent/src/aiq_alert_triage_agent/telemetry_metrics_host_performance_check_tool.py index 5e3ec5836..d8ea67a47 100644 --- a/examples/alert_triage_agent/src/aiq_alert_triage_agent/telemetry_metrics_host_performance_check_tool.py +++ b/examples/alert_triage_agent/src/aiq_alert_triage_agent/telemetry_metrics_host_performance_check_tool.py @@ -38,6 +38,7 @@ class TelemetryMetricsHostPerformanceCheckToolConfig(FunctionBaseConfig, "usage timeseries. Args: host_id: str"), description="Description of the tool for the agent.") llm_name: LLMRef + test_mode: bool = Field(default=True, description="Whether to run in test mode") def _timeseries_stats(ts): @@ -109,11 +110,10 @@ async def telemetry_metrics_host_performance_check_tool(config: TelemetryMetrics builder: Builder): async def _arun(host_id: str) -> str: - is_test_mode = utils.is_test_mode() utils.log_header("Telemetry Metrics CPU Usage Pattern Analysis", dash_length=100) try: - if not is_test_mode: + if not config.test_mode: # NOTE: Replace these placeholder values with your actual telemetry monitoring system details # Example implementation using a monitoring system's API to check host status monitoring_url = "http://your-monitoring-server:9090" # Replace with your monitoring system URL @@ -138,12 +138,12 @@ async def _arun(host_id: str) -> str: else: # In test mode, load test data from CSV file - df = utils.load_test_data() - data = utils.load_column_or_static( + df = utils.get_test_data() + data_str = utils.load_column_or_static( df=df, host_id=host_id, column="telemetry_metrics_host_performance_check_tool:performance_check_output") - data = json.loads(data) + data = json.loads(data_str) # Extract the timestamp-value timeseries from the response data = data["data"]["result"][0]["values"] diff --git a/examples/alert_triage_agent/src/aiq_alert_triage_agent/utils.py b/examples/alert_triage_agent/src/aiq_alert_triage_agent/utils.py index b3f9ece9a..900513c2d 100644 --- a/examples/alert_triage_agent/src/aiq_alert_triage_agent/utils.py +++ b/examples/alert_triage_agent/src/aiq_alert_triage_agent/utils.py @@ -29,7 +29,7 @@ logger = logging.getLogger("aiq_alert_triage_agent") # module‐level variable; loaded on first use -_DATA_CACHE = { +_DATA_CACHE: dict[str, pd.DataFrame | dict | None] = { 'test_data': None, 'benign_fallback_test_data': None, } @@ -86,63 +86,43 @@ def log_footer(dash_length: int = 100, level: int = logging.DEBUG): logger.log(level, footer) -def load_test_data(): +def preload_test_data(test_data_path: str | None, benign_fallback_data_path: str | None): """ - Loads test data from a CSV file (only once per process). + Preloads test data from CSV and JSON files into module-level cache. - Returns: - pandas.DataFrame: The loaded test data - - Raises: - ValueError: If TEST_DATA_RELATIVE_FILEPATH environment variable is not set + Args: + test_data_path (str): Path to the test data CSV file + benign_fallback_data_path (str): Path to the benign fallback data JSON file """ - if _DATA_CACHE['test_data'] is None: - rel_path = os.getenv("TEST_DATA_RELATIVE_FILEPATH") - if not rel_path: - raise ValueError("TEST_DATA_RELATIVE_FILEPATH environment variable must be set") - abs_path = os.path.join(os.path.abspath(os.path.dirname(__file__)), rel_path) - _DATA_CACHE['test_data'] = pd.read_csv(abs_path) - - return _DATA_CACHE['test_data'] + if test_data_path is None: + raise ValueError("test_data_path must be provided") + if benign_fallback_data_path is None: + raise ValueError("benign_fallback_data_path must be provided") -def is_test_mode(): - return os.getenv("TEST_MODE", "false").lower() == "true" + _DATA_CACHE['test_data'] = pd.read_csv(test_data_path) + logger.info(f"Preloaded test data from: {test_data_path}") + with open(benign_fallback_data_path, "r") as f: + _DATA_CACHE['benign_fallback_test_data'] = json.load(f) + logger.info(f"Preloaded benign fallback data from: {benign_fallback_data_path}") -def _get_static_data(env_var): - """ - Load and cache static test data from a JSON file specified by an environment variable. - This function implements a singleton pattern using a module-level cache to avoid - repeatedly reading the same JSON file. The first call loads and caches the data, - subsequent calls return the cached data. - - Args: - env_var (str): Name of environment variable containing path to JSON file +def get_test_data() -> pd.DataFrame: + """Returns the preloaded test data.""" + if _DATA_CACHE['test_data'] is None: + raise ValueError("Test data not preloaded. Call preload_test_data() first.") + return pd.DataFrame(_DATA_CACHE['test_data']) - Returns: - dict: Parsed JSON data from the file - Raises: - ValueError: If the specified environment variable is not set - json.JSONDecodeError: If the file contains invalid JSON - FileNotFoundError: If the JSON file does not exist - """ - # Use module-level cache to implement singleton pattern +def _get_static_data(): + """Returns the preloaded benign fallback test data.""" if _DATA_CACHE['benign_fallback_test_data'] is None: - # First time - need to load data from file - filepath = os.getenv(env_var) - if filepath is None: - raise ValueError(f"{env_var} environment variable must be set") - path = os.path.join(os.path.abspath(os.path.dirname(__file__)), filepath) - # Load and cache the JSON data - with open(path, "r") as f: - _DATA_CACHE['benign_fallback_test_data'] = json.load(f) + raise ValueError("Benign fallback test data not preloaded. Call preload_test_data() first.") return _DATA_CACHE['benign_fallback_test_data'] -def load_column_or_static(df, host_id, column, static_env_var="TEST_BENIGN_DATA_RELATIVE_FILEPATH"): +def load_column_or_static(df, host_id, column): """ Attempts to load data from a DataFrame column, falling back to static JSON if needed. @@ -153,8 +133,6 @@ def load_column_or_static(df, host_id, column, static_env_var="TEST_BENIGN_DATA_ df (pandas.DataFrame): DataFrame containing test data host_id (str): Host ID to look up in the DataFrame column (str): Column name to retrieve data from - static_env_var (str, optional): Environment variable pointing to static JSON file. - Defaults to "TEST_BENIGN_DATA_RELATIVE_FILEPATH". Returns: The value from either the DataFrame or static JSON for the given column. @@ -165,7 +143,7 @@ def load_column_or_static(df, host_id, column, static_env_var="TEST_BENIGN_DATA_ """ if column not in df.columns: # Column missing from DataFrame, try loading from static JSON file - static_data = _get_static_data(static_env_var) + static_data = _get_static_data() try: return static_data[column] except KeyError as exc: From 1e98a4c7f116d949c8947c870f83c8fc48fe7be4 Mon Sep 17 00:00:00 2001 From: hsin-c <109615347+hsin-c@users.noreply.github.com> Date: Thu, 8 May 2025 12:34:18 -0700 Subject: [PATCH 33/60] Fix vulnerabilities in the alert triage agent example (#227) This PR fixes the vulnerabilities in the ATA example. Authors: - https://github.com/hsin-c Approvers: - Yuchen Zhang (https://github.com/yczhang-nv) URL: https://github.com/NVIDIA/AIQToolkit/pull/227 Signed-off-by: Yuchen Zhang --- .../aiq_alert_triage_agent/configs/config_test_mode.yml | 2 ++ .../src/aiq_alert_triage_agent/hardware_check_tool.py | 5 ++++- .../alert_triage_agent/src/aiq_alert_triage_agent/run.py | 9 +++++++++ .../telemetry_metrics_host_heartbeat_check_tool.py | 4 ++-- .../telemetry_metrics_host_performance_check_tool.py | 4 ++-- 5 files changed, 19 insertions(+), 5 deletions(-) diff --git a/examples/alert_triage_agent/src/aiq_alert_triage_agent/configs/config_test_mode.yml b/examples/alert_triage_agent/src/aiq_alert_triage_agent/configs/config_test_mode.yml index a7b8b811b..6ee8419fd 100644 --- a/examples/alert_triage_agent/src/aiq_alert_triage_agent/configs/config_test_mode.yml +++ b/examples/alert_triage_agent/src/aiq_alert_triage_agent/configs/config_test_mode.yml @@ -37,10 +37,12 @@ functions: _type: telemetry_metrics_host_heartbeat_check llm_name: tool_reasoning_llm test_mode: true + metrics_url: http://your-monitoring-server:9090 # Replace with your monitoring system URL if running in live mode telemetry_metrics_host_performance_check: _type: telemetry_metrics_host_performance_check llm_name: tool_reasoning_llm test_mode: true + metrics_url: http://your-monitoring-server:9090 # Replace with your monitoring system URL if running in live mode telemetry_metrics_analysis_agent: _type: telemetry_metrics_analysis_agent tool_names: diff --git a/examples/alert_triage_agent/src/aiq_alert_triage_agent/hardware_check_tool.py b/examples/alert_triage_agent/src/aiq_alert_triage_agent/hardware_check_tool.py index bb33237bf..0f0f5b9ea 100644 --- a/examples/alert_triage_agent/src/aiq_alert_triage_agent/hardware_check_tool.py +++ b/examples/alert_triage_agent/src/aiq_alert_triage_agent/hardware_check_tool.py @@ -99,7 +99,10 @@ async def _arun(host_id: str) -> str: # Get analysis from LLM conclusion = await utils.llm_ainvoke(config, builder, prompt) - utils.logger.debug(conclusion) + # The conclusion from the LLM should not include any sensitive information around the provided + # credentials. We commented this out to be extra cautious. If you are testing and debugging in a safe + # environment, uncomment this line to see the conclusion. + # utils.logger.debug(conclusion) utils.log_footer() return conclusion diff --git a/examples/alert_triage_agent/src/aiq_alert_triage_agent/run.py b/examples/alert_triage_agent/src/aiq_alert_triage_agent/run.py index 5d478ba2b..e61f5d1ae 100644 --- a/examples/alert_triage_agent/src/aiq_alert_triage_agent/run.py +++ b/examples/alert_triage_agent/src/aiq_alert_triage_agent/run.py @@ -87,6 +87,15 @@ from flask import request app = Flask(__name__) + + +@app.after_request +def apply_hsts(response): + # Tell browsers to only use HTTPS for the next year, on all sub‑domains, and enable preload + response.headers['Strict-Transport-Security'] = 'max-age=31536000; includeSubDomains; preload' + return response + + processed_alerts = [] # will be set in __main__ ENV_FILE = None diff --git a/examples/alert_triage_agent/src/aiq_alert_triage_agent/telemetry_metrics_host_heartbeat_check_tool.py b/examples/alert_triage_agent/src/aiq_alert_triage_agent/telemetry_metrics_host_heartbeat_check_tool.py index 5cb3a6f99..94521bcd5 100644 --- a/examples/alert_triage_agent/src/aiq_alert_triage_agent/telemetry_metrics_host_heartbeat_check_tool.py +++ b/examples/alert_triage_agent/src/aiq_alert_triage_agent/telemetry_metrics_host_heartbeat_check_tool.py @@ -33,6 +33,7 @@ class TelemetryMetricsHostHeartbeatCheckToolConfig(FunctionBaseConfig, name="tel description="Description of the tool for the agent.") llm_name: LLMRef test_mode: bool = Field(default=True, description="Whether to run in test mode") + metrics_url: str = Field(default="", description="URL of the monitoring system") @register_function(config_type=TelemetryMetricsHostHeartbeatCheckToolConfig) @@ -44,9 +45,8 @@ async def _arun(host_id: str) -> str: try: if not config.test_mode: - # NOTE: Replace these placeholder values with your actual telemetry monitoring system details # Example implementation using a monitoring system's API to check host status - monitoring_url = "http://your-monitoring-server:9090" # Replace with your monitoring system URL + monitoring_url = config.metrics_url # Customize query based on your monitoring setup and metrics # This example checks if a host's monitoring agent is reporting as up diff --git a/examples/alert_triage_agent/src/aiq_alert_triage_agent/telemetry_metrics_host_performance_check_tool.py b/examples/alert_triage_agent/src/aiq_alert_triage_agent/telemetry_metrics_host_performance_check_tool.py index d8ea67a47..df76440ab 100644 --- a/examples/alert_triage_agent/src/aiq_alert_triage_agent/telemetry_metrics_host_performance_check_tool.py +++ b/examples/alert_triage_agent/src/aiq_alert_triage_agent/telemetry_metrics_host_performance_check_tool.py @@ -39,6 +39,7 @@ class TelemetryMetricsHostPerformanceCheckToolConfig(FunctionBaseConfig, description="Description of the tool for the agent.") llm_name: LLMRef test_mode: bool = Field(default=True, description="Whether to run in test mode") + metrics_url: str = Field(default="", description="URL of the monitoring system") def _timeseries_stats(ts): @@ -114,9 +115,8 @@ async def _arun(host_id: str) -> str: try: if not config.test_mode: - # NOTE: Replace these placeholder values with your actual telemetry monitoring system details # Example implementation using a monitoring system's API to check host status - monitoring_url = "http://your-monitoring-server:9090" # Replace with your monitoring system URL + monitoring_url = config.metrics_url # Customize query based on your monitoring setup and metrics # This example queries the CPU usage percentage by subtracting idle CPU from 100% From 63e705b2d89c8799f74be56bc0d7e18c8b8a88c1 Mon Sep 17 00:00:00 2001 From: hsin-c <109615347+hsin-c@users.noreply.github.com> Date: Thu, 8 May 2025 12:44:59 -0700 Subject: [PATCH 34/60] Add e2e test for the alert triage agent (#226) This PR adds an end-to-end test (in test mode) for the alert triage agent. Closes #212 Authors: - https://github.com/hsin-c Approvers: - Anuradha Karuppiah (https://github.com/AnuradhaKaruppiah) URL: https://github.com/NVIDIA/AIQToolkit/pull/226 Signed-off-by: Yuchen Zhang --- .../tests/test_alert_triage_agent_workflow.py | 68 +++++++++++++++++++ 1 file changed, 68 insertions(+) create mode 100644 examples/alert_triage_agent/tests/test_alert_triage_agent_workflow.py diff --git a/examples/alert_triage_agent/tests/test_alert_triage_agent_workflow.py b/examples/alert_triage_agent/tests/test_alert_triage_agent_workflow.py new file mode 100644 index 000000000..ec5212b58 --- /dev/null +++ b/examples/alert_triage_agent/tests/test_alert_triage_agent_workflow.py @@ -0,0 +1,68 @@ +# SPDX-FileCopyrightText: Copyright (c) 2025, NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import importlib +import importlib.resources +import inspect +import logging +from pathlib import Path + +import pandas as pd +import pytest +import yaml +from aiq_alert_triage_agent.register import AlertTriageAgentWorkflowConfig + +from aiq.runtime.loader import load_workflow + +logger = logging.getLogger(__name__) + + +@pytest.mark.e2e +async def test_full_workflow(): + + package_name = inspect.getmodule(AlertTriageAgentWorkflowConfig).__package__ + + config_file: Path = importlib.resources.files(package_name).joinpath("configs", "config_test_mode.yml").absolute() + + with open(config_file, "r") as file: + config = yaml.safe_load(file) + output_filepath = config["workflow"]["test_output_path"] + output_filepath_abs = importlib.resources.files(package_name).joinpath("../../../../", output_filepath).absolute() + + input_message = "run in test mode" + async with load_workflow(config_file) as workflow: + + async with workflow.run(input_message) as runner: + + result = await runner.result(to_type=str) + + assert result == f"Successfully processed 4 alerts. Results saved to {output_filepath}" + + output_df = pd.read_csv(output_filepath_abs) + + # Check that the output dataframe has the correct number of rows and columns + assert output_df.shape[0] == 4 + assert output_df.shape[1] == 11 + assert output_df.columns[-1] == "output" + + # Check that all rows in 'output' column contain non-empty strings + assert all(isinstance(output, str) and len(output.strip()) > 0 for output in output_df["output"]) + + # Deterministic data point: host under maintenance + assert 'maintenance' in output_df.iloc[3]["output"] + + # Check that rows 0-2 (hosts not under maintenance) contain root cause categorization + for i in range(3): + assert "root cause category" in output_df.iloc[i]["output"].lower() From f047beec2e7341a3bbf7f9b882a85407ba1f2f67 Mon Sep 17 00:00:00 2001 From: Yuchen Zhang <134643420+yczhang-nv@users.noreply.github.com> Date: Thu, 8 May 2025 16:43:58 -0700 Subject: [PATCH 35/60] Fix remaining nSpect vulnerabilities for `1.1.0` (#229) Closes ## By Submitting this PR I confirm: - I am familiar with the [Contributing Guidelines](https://github.com/NVIDIA/AIQToolkit/blob/develop/docs/source/advanced/contributing.md). - We require that all contributors "sign-off" on their commits. This certifies that the contribution is your original work, or you have rights to submit it under the same license, or a compatible license. - Any contribution which contains commits that are not Signed-Off will not be accepted. - When the PR is ready for review, new or existing tests cover these changes. - When the PR is ready for review, the documentation is up to date with these changes. Authors: - Yuchen Zhang (https://github.com/yczhang-nv) Approvers: - Anuradha Karuppiah (https://github.com/AnuradhaKaruppiah) URL: https://github.com/NVIDIA/AIQToolkit/pull/229 Signed-off-by: Yuchen Zhang --- examples/alert_triage_agent/src/aiq_alert_triage_agent/run.py | 4 ++++ .../tool/code_execution/local_sandbox/local_sandbox_server.py | 4 ++++ 2 files changed, 8 insertions(+) diff --git a/examples/alert_triage_agent/src/aiq_alert_triage_agent/run.py b/examples/alert_triage_agent/src/aiq_alert_triage_agent/run.py index e61f5d1ae..e9ca041b4 100644 --- a/examples/alert_triage_agent/src/aiq_alert_triage_agent/run.py +++ b/examples/alert_triage_agent/src/aiq_alert_triage_agent/run.py @@ -93,6 +93,10 @@ def apply_hsts(response): # Tell browsers to only use HTTPS for the next year, on all sub‑domains, and enable preload response.headers['Strict-Transport-Security'] = 'max-age=31536000; includeSubDomains; preload' + response.headers['X-Content-Type-Options'] = 'nosniff' + response.headers['X-Frame-Options'] = 'SAMEORIGIN' + response.headers['X-XSS-Protection'] = '1; mode=block' + return response diff --git a/src/aiq/tool/code_execution/local_sandbox/local_sandbox_server.py b/src/aiq/tool/code_execution/local_sandbox/local_sandbox_server.py index e0d8cb28e..88b3f840e 100644 --- a/src/aiq/tool/code_execution/local_sandbox/local_sandbox_server.py +++ b/src/aiq/tool/code_execution/local_sandbox/local_sandbox_server.py @@ -27,6 +27,10 @@ @app.after_request def add_hsts_header(response): response.headers['Strict-Transport-Security'] = 'max-age=31536000; includeSubDomains' + response.headers['X-Content-Type-Options'] = 'nosniff' + response.headers['X-Frame-Options'] = 'SAMEORIGIN' + response.headers['X-XSS-Protection'] = '1; mode=block' + return response From 58f16f04996ad54057727b6a40c2d2b52ce5b9d6 Mon Sep 17 00:00:00 2001 From: Dhruv Nandakumar <168006707+dnandakumar-nv@users.noreply.github.com> Date: Thu, 8 May 2025 22:58:05 -0400 Subject: [PATCH 36/60] Remove redundant span stack handling and error logging (#231) The redundant span stack error logging and unused pop operation were removed to streamline the code. These changes reduce unnecessary noise in the logs and improve the clarity of span management logic. Also prevents bug where spans are not logged if multiple subspans use the same parent span sequentially. Previously, as soon as a child span was closed, the parent span was popped from the span stack <- Bug Closes #232 ## By Submitting this PR I confirm: - I am familiar with the [Contributing Guidelines](https://github.com/NVIDIA/AIQToolkit/blob/develop/docs/source/advanced/contributing.md). - We require that all contributors "sign-off" on their commits. This certifies that the contribution is your original work, or you have rights to submit it under the same license, or a compatible license. - Any contribution which contains commits that are not Signed-Off will not be accepted. - When the PR is ready for review, new or existing tests cover these changes. - When the PR is ready for review, the documentation is up to date with these changes. Authors: - Dhruv Nandakumar (https://github.com/dnandakumar-nv) Approvers: - Anuradha Karuppiah (https://github.com/AnuradhaKaruppiah) URL: https://github.com/NVIDIA/AIQToolkit/pull/231 Signed-off-by: Yuchen Zhang --- src/aiq/observability/async_otel_listener.py | 7 ------- 1 file changed, 7 deletions(-) diff --git a/src/aiq/observability/async_otel_listener.py b/src/aiq/observability/async_otel_listener.py index a2fee37b4..68ad66208 100644 --- a/src/aiq/observability/async_otel_listener.py +++ b/src/aiq/observability/async_otel_listener.py @@ -191,11 +191,6 @@ async def _cleanup(self): self._outstanding_spans.clear() - if len(self._span_stack) > 0: - logger.error( - "Not all spans were closed. Ensure all start events have a corresponding end event. Remaining: %s", - self._span_stack) - self._span_stack.clear() # Clean up any lingering Weave calls if Weave is available and initialized @@ -295,8 +290,6 @@ def _process_end_event(self, step: IntermediateStep): logger.warning("No subspan found for step %s", step.UUID) return - self._span_stack.pop(step.UUID, None) - # Optionally add more attributes from usage_info or data usage_info = step.payload.usage_info if usage_info: From 01b7cd2d5c3e6e049142b8e99f500983fe32a037 Mon Sep 17 00:00:00 2001 From: Eric Evans II <194135482+ericevans-nv@users.noreply.github.com> Date: Fri, 9 May 2025 10:22:16 -0500 Subject: [PATCH 37/60] Feature/add aiqtoolkit UI submodule (#234) Closes ## By Submitting this PR I confirm: - I am familiar with the [Contributing Guidelines](https://github.com/NVIDIA/AIQToolkit/blob/develop/docs/source/advanced/contributing.md). - We require that all contributors "sign-off" on their commits. This certifies that the contribution is your original work, or you have rights to submit it under the same license, or a compatible license. - Any contribution which contains commits that are not Signed-Off will not be accepted. - When the PR is ready for review, new or existing tests cover these changes. - When the PR is ready for review, the documentation is up to date with these changes. Authors: - Eric Evans II (https://github.com/ericevans-nv) Approvers: - Anuradha Karuppiah (https://github.com/AnuradhaKaruppiah) URL: https://github.com/NVIDIA/AIQToolkit/pull/234 Signed-off-by: Yuchen Zhang --- external/aiqtoolkit-opensource-ui | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/external/aiqtoolkit-opensource-ui b/external/aiqtoolkit-opensource-ui index 07d8558b1..63702e242 160000 --- a/external/aiqtoolkit-opensource-ui +++ b/external/aiqtoolkit-opensource-ui @@ -1 +1 @@ -Subproject commit 07d8558b101f9ff618518ceb824c98e519102b8d +Subproject commit 63702e2425d4979824ed34920ff81befcec804ae From 7cace8674d3578df7ceb245bab4bd883a6fbcc49 Mon Sep 17 00:00:00 2001 From: hsin-c <109615347+hsin-c@users.noreply.github.com> Date: Thu, 8 May 2025 11:31:25 -0700 Subject: [PATCH 38/60] Move configurable parameters from env vars to config file (#222) This PR moves the parameters used by the model in the environment variables to the config file for easier parameter tracking. Closes #213 Tested offline and validated the generation of an expected output file. Authors: - https://github.com/hsin-c Approvers: - David Gardner (https://github.com/dagardner-nv) - Anuradha Karuppiah (https://github.com/AnuradhaKaruppiah) URL: https://github.com/NVIDIA/AIQToolkit/pull/222 Signed-off-by: Yuchen Zhang --- .../src/aiq_alert_triage_agent/configs/config_test_mode.yml | 2 -- .../telemetry_metrics_host_heartbeat_check_tool.py | 3 ++- .../telemetry_metrics_host_performance_check_tool.py | 5 ++++- 3 files changed, 6 insertions(+), 4 deletions(-) diff --git a/examples/alert_triage_agent/src/aiq_alert_triage_agent/configs/config_test_mode.yml b/examples/alert_triage_agent/src/aiq_alert_triage_agent/configs/config_test_mode.yml index 6ee8419fd..a7b8b811b 100644 --- a/examples/alert_triage_agent/src/aiq_alert_triage_agent/configs/config_test_mode.yml +++ b/examples/alert_triage_agent/src/aiq_alert_triage_agent/configs/config_test_mode.yml @@ -37,12 +37,10 @@ functions: _type: telemetry_metrics_host_heartbeat_check llm_name: tool_reasoning_llm test_mode: true - metrics_url: http://your-monitoring-server:9090 # Replace with your monitoring system URL if running in live mode telemetry_metrics_host_performance_check: _type: telemetry_metrics_host_performance_check llm_name: tool_reasoning_llm test_mode: true - metrics_url: http://your-monitoring-server:9090 # Replace with your monitoring system URL if running in live mode telemetry_metrics_analysis_agent: _type: telemetry_metrics_analysis_agent tool_names: diff --git a/examples/alert_triage_agent/src/aiq_alert_triage_agent/telemetry_metrics_host_heartbeat_check_tool.py b/examples/alert_triage_agent/src/aiq_alert_triage_agent/telemetry_metrics_host_heartbeat_check_tool.py index 94521bcd5..d94816593 100644 --- a/examples/alert_triage_agent/src/aiq_alert_triage_agent/telemetry_metrics_host_heartbeat_check_tool.py +++ b/examples/alert_triage_agent/src/aiq_alert_triage_agent/telemetry_metrics_host_heartbeat_check_tool.py @@ -33,7 +33,6 @@ class TelemetryMetricsHostHeartbeatCheckToolConfig(FunctionBaseConfig, name="tel description="Description of the tool for the agent.") llm_name: LLMRef test_mode: bool = Field(default=True, description="Whether to run in test mode") - metrics_url: str = Field(default="", description="URL of the monitoring system") @register_function(config_type=TelemetryMetricsHostHeartbeatCheckToolConfig) @@ -45,6 +44,7 @@ async def _arun(host_id: str) -> str: try: if not config.test_mode: + # NOTE: Replace these placeholder values with your actual telemetry monitoring system details # Example implementation using a monitoring system's API to check host status monitoring_url = config.metrics_url @@ -63,6 +63,7 @@ async def _arun(host_id: str) -> str: else: # In test mode, load test data from CSV file df = utils.get_test_data() + df = utils.get_test_data() data = utils.load_column_or_static( df=df, host_id=host_id, column="telemetry_metrics_host_heartbeat_check_tool:heartbeat_check_output") diff --git a/examples/alert_triage_agent/src/aiq_alert_triage_agent/telemetry_metrics_host_performance_check_tool.py b/examples/alert_triage_agent/src/aiq_alert_triage_agent/telemetry_metrics_host_performance_check_tool.py index df76440ab..d5c17e715 100644 --- a/examples/alert_triage_agent/src/aiq_alert_triage_agent/telemetry_metrics_host_performance_check_tool.py +++ b/examples/alert_triage_agent/src/aiq_alert_triage_agent/telemetry_metrics_host_performance_check_tool.py @@ -39,7 +39,6 @@ class TelemetryMetricsHostPerformanceCheckToolConfig(FunctionBaseConfig, description="Description of the tool for the agent.") llm_name: LLMRef test_mode: bool = Field(default=True, description="Whether to run in test mode") - metrics_url: str = Field(default="", description="URL of the monitoring system") def _timeseries_stats(ts): @@ -115,6 +114,7 @@ async def _arun(host_id: str) -> str: try: if not config.test_mode: + # NOTE: Replace these placeholder values with your actual telemetry monitoring system details # Example implementation using a monitoring system's API to check host status monitoring_url = config.metrics_url @@ -139,11 +139,14 @@ async def _arun(host_id: str) -> str: else: # In test mode, load test data from CSV file df = utils.get_test_data() + data_str = utils.load_column_or_static( + df = utils.get_test_data() data_str = utils.load_column_or_static( df=df, host_id=host_id, column="telemetry_metrics_host_performance_check_tool:performance_check_output") data = json.loads(data_str) + data = json.loads(data_str) # Extract the timestamp-value timeseries from the response data = data["data"]["result"][0]["values"] From baacee8574874892750a065c33470345ff65b55c Mon Sep 17 00:00:00 2001 From: hsin-c <109615347+hsin-c@users.noreply.github.com> Date: Thu, 8 May 2025 12:34:18 -0700 Subject: [PATCH 39/60] Fix vulnerabilities in the alert triage agent example (#227) This PR fixes the vulnerabilities in the ATA example. Authors: - https://github.com/hsin-c Approvers: - Yuchen Zhang (https://github.com/yczhang-nv) URL: https://github.com/NVIDIA/AIQToolkit/pull/227 Signed-off-by: Yuchen Zhang --- .../src/aiq_alert_triage_agent/configs/config_test_mode.yml | 2 ++ examples/alert_triage_agent/src/aiq_alert_triage_agent/run.py | 4 ---- .../telemetry_metrics_host_heartbeat_check_tool.py | 2 +- .../telemetry_metrics_host_performance_check_tool.py | 2 +- 4 files changed, 4 insertions(+), 6 deletions(-) diff --git a/examples/alert_triage_agent/src/aiq_alert_triage_agent/configs/config_test_mode.yml b/examples/alert_triage_agent/src/aiq_alert_triage_agent/configs/config_test_mode.yml index a7b8b811b..6ee8419fd 100644 --- a/examples/alert_triage_agent/src/aiq_alert_triage_agent/configs/config_test_mode.yml +++ b/examples/alert_triage_agent/src/aiq_alert_triage_agent/configs/config_test_mode.yml @@ -37,10 +37,12 @@ functions: _type: telemetry_metrics_host_heartbeat_check llm_name: tool_reasoning_llm test_mode: true + metrics_url: http://your-monitoring-server:9090 # Replace with your monitoring system URL if running in live mode telemetry_metrics_host_performance_check: _type: telemetry_metrics_host_performance_check llm_name: tool_reasoning_llm test_mode: true + metrics_url: http://your-monitoring-server:9090 # Replace with your monitoring system URL if running in live mode telemetry_metrics_analysis_agent: _type: telemetry_metrics_analysis_agent tool_names: diff --git a/examples/alert_triage_agent/src/aiq_alert_triage_agent/run.py b/examples/alert_triage_agent/src/aiq_alert_triage_agent/run.py index e9ca041b4..e61f5d1ae 100644 --- a/examples/alert_triage_agent/src/aiq_alert_triage_agent/run.py +++ b/examples/alert_triage_agent/src/aiq_alert_triage_agent/run.py @@ -93,10 +93,6 @@ def apply_hsts(response): # Tell browsers to only use HTTPS for the next year, on all sub‑domains, and enable preload response.headers['Strict-Transport-Security'] = 'max-age=31536000; includeSubDomains; preload' - response.headers['X-Content-Type-Options'] = 'nosniff' - response.headers['X-Frame-Options'] = 'SAMEORIGIN' - response.headers['X-XSS-Protection'] = '1; mode=block' - return response diff --git a/examples/alert_triage_agent/src/aiq_alert_triage_agent/telemetry_metrics_host_heartbeat_check_tool.py b/examples/alert_triage_agent/src/aiq_alert_triage_agent/telemetry_metrics_host_heartbeat_check_tool.py index d94816593..8e56b52e5 100644 --- a/examples/alert_triage_agent/src/aiq_alert_triage_agent/telemetry_metrics_host_heartbeat_check_tool.py +++ b/examples/alert_triage_agent/src/aiq_alert_triage_agent/telemetry_metrics_host_heartbeat_check_tool.py @@ -33,6 +33,7 @@ class TelemetryMetricsHostHeartbeatCheckToolConfig(FunctionBaseConfig, name="tel description="Description of the tool for the agent.") llm_name: LLMRef test_mode: bool = Field(default=True, description="Whether to run in test mode") + metrics_url: str = Field(default="", description="URL of the monitoring system") @register_function(config_type=TelemetryMetricsHostHeartbeatCheckToolConfig) @@ -44,7 +45,6 @@ async def _arun(host_id: str) -> str: try: if not config.test_mode: - # NOTE: Replace these placeholder values with your actual telemetry monitoring system details # Example implementation using a monitoring system's API to check host status monitoring_url = config.metrics_url diff --git a/examples/alert_triage_agent/src/aiq_alert_triage_agent/telemetry_metrics_host_performance_check_tool.py b/examples/alert_triage_agent/src/aiq_alert_triage_agent/telemetry_metrics_host_performance_check_tool.py index d5c17e715..0389cde36 100644 --- a/examples/alert_triage_agent/src/aiq_alert_triage_agent/telemetry_metrics_host_performance_check_tool.py +++ b/examples/alert_triage_agent/src/aiq_alert_triage_agent/telemetry_metrics_host_performance_check_tool.py @@ -39,6 +39,7 @@ class TelemetryMetricsHostPerformanceCheckToolConfig(FunctionBaseConfig, description="Description of the tool for the agent.") llm_name: LLMRef test_mode: bool = Field(default=True, description="Whether to run in test mode") + metrics_url: str = Field(default="", description="URL of the monitoring system") def _timeseries_stats(ts): @@ -114,7 +115,6 @@ async def _arun(host_id: str) -> str: try: if not config.test_mode: - # NOTE: Replace these placeholder values with your actual telemetry monitoring system details # Example implementation using a monitoring system's API to check host status monitoring_url = config.metrics_url From c790a6ca4451ab891ca77d0b630e830f8ec0e102 Mon Sep 17 00:00:00 2001 From: Yuchen Zhang <134643420+yczhang-nv@users.noreply.github.com> Date: Thu, 8 May 2025 16:43:58 -0700 Subject: [PATCH 40/60] Fix remaining nSpect vulnerabilities for `1.1.0` (#229) Closes ## By Submitting this PR I confirm: - I am familiar with the [Contributing Guidelines](https://github.com/NVIDIA/AIQToolkit/blob/develop/docs/source/advanced/contributing.md). - We require that all contributors "sign-off" on their commits. This certifies that the contribution is your original work, or you have rights to submit it under the same license, or a compatible license. - Any contribution which contains commits that are not Signed-Off will not be accepted. - When the PR is ready for review, new or existing tests cover these changes. - When the PR is ready for review, the documentation is up to date with these changes. Authors: - Yuchen Zhang (https://github.com/yczhang-nv) Approvers: - Anuradha Karuppiah (https://github.com/AnuradhaKaruppiah) URL: https://github.com/NVIDIA/AIQToolkit/pull/229 Signed-off-by: Yuchen Zhang --- examples/alert_triage_agent/src/aiq_alert_triage_agent/run.py | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/examples/alert_triage_agent/src/aiq_alert_triage_agent/run.py b/examples/alert_triage_agent/src/aiq_alert_triage_agent/run.py index e61f5d1ae..e9ca041b4 100644 --- a/examples/alert_triage_agent/src/aiq_alert_triage_agent/run.py +++ b/examples/alert_triage_agent/src/aiq_alert_triage_agent/run.py @@ -93,6 +93,10 @@ def apply_hsts(response): # Tell browsers to only use HTTPS for the next year, on all sub‑domains, and enable preload response.headers['Strict-Transport-Security'] = 'max-age=31536000; includeSubDomains; preload' + response.headers['X-Content-Type-Options'] = 'nosniff' + response.headers['X-Frame-Options'] = 'SAMEORIGIN' + response.headers['X-XSS-Protection'] = '1; mode=block' + return response From 5144dca64bfbe155be9eecabce49847f1422b5d3 Mon Sep 17 00:00:00 2001 From: Yuchen Zhang Date: Fri, 25 Apr 2025 12:56:32 -0700 Subject: [PATCH 41/60] update uv.lock Signed-off-by: Yuchen Zhang --- uv.lock | 331 +++++++++++++++++++++++++++++++++++++++++++++++++++++++- 1 file changed, 325 insertions(+), 6 deletions(-) diff --git a/uv.lock b/uv.lock index 8f8eb4690..b21c09da0 100644 --- a/uv.lock +++ b/uv.lock @@ -799,7 +799,7 @@ source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "idna" }, { name = "sniffio" }, - { name = "typing-extensions" }, + { name = "typing-extensions", marker = "python_full_version < '3.13'" }, ] sdist = { url = "https://files.pythonhosted.org/packages/95/7d/4c1bd541d4dffa1b52bd83fb8527089e097a106fc90b467a7313b105f840/anyio-4.9.0.tar.gz", hash = "sha256:673c0c244e15788651a4ff38710fea9675823028a6f08a5eda409e0c9840a028", size = 190949 } wheels = [ @@ -1071,6 +1071,20 @@ 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"sha256:77ea385f7dd5b5676d7fd943292ffa18fbf5c72ba98f7d09fc1fb9e819b34c23", size = 633681 }, From 2f66d0fda245ebf37dc437ebdc6f15725e6a3065 Mon Sep 17 00:00:00 2001 From: Yuchen Zhang Date: Wed, 7 May 2025 16:27:50 -0700 Subject: [PATCH 44/60] Initial commit for AWSBedrock LLM provider Signed-off-by: Yuchen Zhang --- .../configs/config-aws.yml | 60 +++++++++++++++++++ packages/aiqtoolkit_langchain/pyproject.toml | 1 + .../src/aiq/plugins/langchain/llm.py | 9 +++ src/aiq/agent/react_agent/agent.py | 6 +- src/aiq/llm/aws_bedrock_llm.py | 50 ++++++++++++++++ src/aiq/llm/register.py | 1 + 6 files changed, 125 insertions(+), 2 deletions(-) create mode 100644 examples/simple_calculator/src/aiq_simple_calculator/configs/config-aws.yml create mode 100644 src/aiq/llm/aws_bedrock_llm.py diff --git a/examples/simple_calculator/src/aiq_simple_calculator/configs/config-aws.yml b/examples/simple_calculator/src/aiq_simple_calculator/configs/config-aws.yml new file mode 100644 index 000000000..d86b45bf1 --- /dev/null +++ b/examples/simple_calculator/src/aiq_simple_calculator/configs/config-aws.yml @@ -0,0 +1,60 @@ +# SPDX-FileCopyrightText: Copyright (c) 2024-2025, NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +general: + use_uvloop: true + +functions: + calculator_multiply: + _type: calculator_multiply + calculator_inequality: + _type: calculator_inequality + calculator_divide: + _type: aiq_simple_calculator/calculator_divide + current_datetime: + _type: current_datetime + calculator_subtract: + _type: calculator_subtract + +llms: + nim_llm: + _type: nim + model_name: meta/llama-3.1-70b-instruct + temperature: 0.0 + max_tokens: 1024 + openai_llm: + _type: openai + model_name: gpt-3.5-turbo + max_tokens: 2000 + aws_bedrock_llm: + _type: aws_bedrock + model_name: meta.llama3-3-70b-instruct-v1:0 + temperature: 0.0 + max_tokens: 1024 + region_name: us-east-2 + credentials_profile_name: default + +workflow: + _type: react_agent + tool_names: + - calculator_multiply + - calculator_inequality + - current_datetime + - calculator_divide + - calculator_subtract + llm_name: aws_bedrock_llm + verbose: true + retry_parsing_errors: true + max_retries: 3 diff --git a/packages/aiqtoolkit_langchain/pyproject.toml b/packages/aiqtoolkit_langchain/pyproject.toml index 1e01e3d49..303f3146e 100644 --- a/packages/aiqtoolkit_langchain/pyproject.toml +++ b/packages/aiqtoolkit_langchain/pyproject.toml @@ -20,6 +20,7 @@ dependencies = [ # version when adding a new package. If unsure, default to using `~=` instead of `==`. Does not apply to aiq packages. # Keep sorted!!! "aiqtoolkit~=1.1", + "langchain-aws~=0.2.1", "langchain-core~=0.3.7", "langchain-nvidia-ai-endpoints~=0.3.5", "langchain-milvus~=0.1.5", diff --git a/packages/aiqtoolkit_langchain/src/aiq/plugins/langchain/llm.py b/packages/aiqtoolkit_langchain/src/aiq/plugins/langchain/llm.py index 6f0761083..f6d3b1228 100644 --- a/packages/aiqtoolkit_langchain/src/aiq/plugins/langchain/llm.py +++ b/packages/aiqtoolkit_langchain/src/aiq/plugins/langchain/llm.py @@ -16,6 +16,7 @@ from aiq.builder.builder import Builder from aiq.builder.framework_enum import LLMFrameworkEnum from aiq.cli.register_workflow import register_llm_client +from aiq.llm.aws_bedrock_llm import AWSBedrockModelConfig from aiq.llm.nim_llm import NIMModelConfig from aiq.llm.openai_llm import OpenAIModelConfig @@ -34,3 +35,11 @@ async def openai_langchain(llm_config: OpenAIModelConfig, builder: Builder): from langchain_openai import ChatOpenAI yield ChatOpenAI(**llm_config.model_dump(exclude={"type"}, by_alias=True)) + + +@register_llm_client(config_type=AWSBedrockModelConfig, wrapper_type=LLMFrameworkEnum.LANGCHAIN) +async def aws_bedrock_langchain(llm_config: AWSBedrockModelConfig, builder: Builder): + + from langchain_aws import ChatBedrockConverse + + yield ChatBedrockConverse(**llm_config.model_dump(exclude={"type"}, by_alias=True)) diff --git a/src/aiq/agent/react_agent/agent.py b/src/aiq/agent/react_agent/agent.py index 1e451b28a..5058a8081 100644 --- a/src/aiq/agent/react_agent/agent.py +++ b/src/aiq/agent/react_agent/agent.py @@ -125,7 +125,8 @@ async def agent_node(self, state: ReActGraphState): output_message = "" async for event in self.agent.astream({"question": question}, config=RunnableConfig(callbacks=self.callbacks)): - output_message += event.content + # output_message += event.content + continue output_message = AIMessage(content=output_message) if self.detailed_logs: logger.info(AGENT_RESPONSE_LOG_MESSAGE, question, output_message.content) @@ -147,7 +148,8 @@ async def agent_node(self, state: ReActGraphState): "question": question, "agent_scratchpad": agent_scratchpad }, config=RunnableConfig(callbacks=self.callbacks)): - output_message += event.content + # output_message += event.content + continue output_message = AIMessage(content=output_message) if self.detailed_logs: logger.info(AGENT_RESPONSE_LOG_MESSAGE, question, output_message.content) diff --git a/src/aiq/llm/aws_bedrock_llm.py b/src/aiq/llm/aws_bedrock_llm.py new file mode 100644 index 000000000..d5ac68219 --- /dev/null +++ b/src/aiq/llm/aws_bedrock_llm.py @@ -0,0 +1,50 @@ +# SPDX-FileCopyrightText: Copyright (c) 2024-2025, NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +from pydantic import AliasChoices +from pydantic import ConfigDict +from pydantic import Field +from pydantic import PositiveInt + +from aiq.builder.builder import Builder +from aiq.builder.llm import LLMProviderInfo +from aiq.cli.register_workflow import register_llm_provider +from aiq.data_models.llm import LLMBaseConfig + + +class AWSBedrockModelConfig(LLMBaseConfig, name="aws_bedrock"): + """An AWS Bedrock llm provider to be used with an LLM client.""" + + model_config = ConfigDict(protected_namespaces=()) + + # Completion parameters + model_name: str = Field(validation_alias=AliasChoices("model_name", "model"), + serialization_alias="model", + description="The model name for the hosted AWS Bedrock.") + temperature: float = Field(default=0.0, description="Sampling temperature in [0, 1].") + max_tokens: PositiveInt = Field(default=300, description="Maximum number of tokens to generate.") + + # Client parameters + region_name: str | None = Field(default="None", description="AWS region to use.") + base_url: str | None = Field( + default=None, description="Bedrock endpoint to use. Needed if you don’t want to default to us-east-1 endpoint.") + credentials_profile_name: str | None = Field( + default=None, description="The name of the profile in the ~/.aws/credentials or ~/.aws/config files.") + + +@register_llm_provider(config_type=AWSBedrockModelConfig) +async def aws_bedrock_model(llm_config: AWSBedrockModelConfig, builder: Builder): + + yield LLMProviderInfo(config=llm_config, description="A AWS Bedrock model for use with an LLM client.") diff --git a/src/aiq/llm/register.py b/src/aiq/llm/register.py index 8c38de42d..9485489dc 100644 --- a/src/aiq/llm/register.py +++ b/src/aiq/llm/register.py @@ -20,3 +20,4 @@ # Import any providers which need to be automatically registered here from . import nim_llm from . import openai_llm +from . import aws_bedrock_llm From d57b8c9899e0523e008df8705f35e0814c672c89 Mon Sep 17 00:00:00 2001 From: Yuchen Zhang Date: Fri, 9 May 2025 12:00:44 -0700 Subject: [PATCH 45/60] add aws bedrock llm client for llama-index Signed-off-by: Yuchen Zhang --- packages/aiqtoolkit_llama_index/pyproject.toml | 1 + .../src/aiq/plugins/llama_index/llm.py | 13 +++++++++++++ src/aiq/llm/aws_bedrock_llm.py | 2 +- 3 files changed, 15 insertions(+), 1 deletion(-) diff --git a/packages/aiqtoolkit_llama_index/pyproject.toml b/packages/aiqtoolkit_llama_index/pyproject.toml index 5d73b5b1e..bb7bc6f56 100644 --- a/packages/aiqtoolkit_llama_index/pyproject.toml +++ b/packages/aiqtoolkit_llama_index/pyproject.toml @@ -24,6 +24,7 @@ dependencies = [ # error "llama-index-core==0.12.15", "llama-index-embeddings-nvidia==0.3.1", + "llama-index-llms-bedrock==0.3.8", "llama-index-llms-nvidia==0.3.1", "llama-index-readers-file==0.4.4", "llama-index==0.12.15", diff --git a/packages/aiqtoolkit_llama_index/src/aiq/plugins/llama_index/llm.py b/packages/aiqtoolkit_llama_index/src/aiq/plugins/llama_index/llm.py index 5e6d86ef4..7b93c5f56 100644 --- a/packages/aiqtoolkit_llama_index/src/aiq/plugins/llama_index/llm.py +++ b/packages/aiqtoolkit_llama_index/src/aiq/plugins/llama_index/llm.py @@ -16,6 +16,7 @@ from aiq.builder.builder import Builder from aiq.builder.framework_enum import LLMFrameworkEnum from aiq.cli.register_workflow import register_llm_client +from aiq.llm.aws_bedrock_llm import AWSBedrockModelConfig from aiq.llm.nim_llm import NIMModelConfig from aiq.llm.openai_llm import OpenAIModelConfig @@ -51,3 +52,15 @@ async def openai_llama_index(llm_config: OpenAIModelConfig, builder: Builder): llm.supports_content_blocks = False yield llm + + +@register_llm_client(config_type=AWSBedrockModelConfig, wrapper_type=LLMFrameworkEnum.LLAMA_INDEX) +async def aws_bedrock_llama_index(llm_config: AWSBedrockModelConfig, builder: Builder): + + from llama_index.llms.bedrock import Bedrock + + kwargs = llm_config.model_dump(exclude={"type"}, by_alias=True) + + llm = Bedrock(**kwargs) + + yield llm diff --git a/src/aiq/llm/aws_bedrock_llm.py b/src/aiq/llm/aws_bedrock_llm.py index d5ac68219..35e1ca6b8 100644 --- a/src/aiq/llm/aws_bedrock_llm.py +++ b/src/aiq/llm/aws_bedrock_llm.py @@ -39,7 +39,7 @@ class AWSBedrockModelConfig(LLMBaseConfig, name="aws_bedrock"): # Client parameters region_name: str | None = Field(default="None", description="AWS region to use.") base_url: str | None = Field( - default=None, description="Bedrock endpoint to use. Needed if you don’t want to default to us-east-1 endpoint.") + default=None, description="Bedrock endpoint to use. Needed if you don't want to default to us-east-1 endpoint.") credentials_profile_name: str | None = Field( default=None, description="The name of the profile in the ~/.aws/credentials or ~/.aws/config files.") From 8c1b336c0a4d2b8a3335e3c59088f4002c2bd4a7 Mon Sep 17 00:00:00 2001 From: Yuchen Zhang Date: Fri, 9 May 2025 15:55:53 -0700 Subject: [PATCH 46/60] added unit tests for llm provider and llm framework combinations Signed-off-by: Yuchen Zhang --- .../src/aiq/plugins/langchain/llm.py | 2 +- .../src/aiq/plugins/llama_index/llm.py | 5 +- src/aiq/llm/aws_bedrock_llm.py | 10 ++- .../llm_providers/test_langchain_agents.py | 80 +++++++++++++++++ .../llm_providers/test_llama_index_agents.py | 89 +++++++++++++++++++ 5 files changed, 179 insertions(+), 7 deletions(-) create mode 100644 tests/aiq/llm_providers/test_langchain_agents.py create mode 100644 tests/aiq/llm_providers/test_llama_index_agents.py diff --git a/packages/aiqtoolkit_langchain/src/aiq/plugins/langchain/llm.py b/packages/aiqtoolkit_langchain/src/aiq/plugins/langchain/llm.py index f6d3b1228..a30416ea3 100644 --- a/packages/aiqtoolkit_langchain/src/aiq/plugins/langchain/llm.py +++ b/packages/aiqtoolkit_langchain/src/aiq/plugins/langchain/llm.py @@ -42,4 +42,4 @@ async def aws_bedrock_langchain(llm_config: AWSBedrockModelConfig, builder: Buil from langchain_aws import ChatBedrockConverse - yield ChatBedrockConverse(**llm_config.model_dump(exclude={"type"}, by_alias=True)) + yield ChatBedrockConverse(**llm_config.model_dump(exclude={"type", "context_size"}, by_alias=True)) diff --git a/packages/aiqtoolkit_llama_index/src/aiq/plugins/llama_index/llm.py b/packages/aiqtoolkit_llama_index/src/aiq/plugins/llama_index/llm.py index 7b93c5f56..f046a4040 100644 --- a/packages/aiqtoolkit_llama_index/src/aiq/plugins/llama_index/llm.py +++ b/packages/aiqtoolkit_llama_index/src/aiq/plugins/llama_index/llm.py @@ -48,9 +48,6 @@ async def openai_llama_index(llm_config: OpenAIModelConfig, builder: Builder): llm = OpenAI(**kwargs) - # Disable content blocks - llm.supports_content_blocks = False - yield llm @@ -59,7 +56,7 @@ async def aws_bedrock_llama_index(llm_config: AWSBedrockModelConfig, builder: Bu from llama_index.llms.bedrock import Bedrock - kwargs = llm_config.model_dump(exclude={"type"}, by_alias=True) + kwargs = llm_config.model_dump(exclude={"type", "max_tokens"}, by_alias=True) llm = Bedrock(**kwargs) diff --git a/src/aiq/llm/aws_bedrock_llm.py b/src/aiq/llm/aws_bedrock_llm.py index 35e1ca6b8..1ed749c7c 100644 --- a/src/aiq/llm/aws_bedrock_llm.py +++ b/src/aiq/llm/aws_bedrock_llm.py @@ -16,7 +16,6 @@ from pydantic import AliasChoices from pydantic import ConfigDict from pydantic import Field -from pydantic import PositiveInt from aiq.builder.builder import Builder from aiq.builder.llm import LLMProviderInfo @@ -34,7 +33,14 @@ class AWSBedrockModelConfig(LLMBaseConfig, name="aws_bedrock"): serialization_alias="model", description="The model name for the hosted AWS Bedrock.") temperature: float = Field(default=0.0, description="Sampling temperature in [0, 1].") - max_tokens: PositiveInt = Field(default=300, description="Maximum number of tokens to generate.") + max_tokens: int | None = Field( + default=1024, + description= + "Maximum number of tokens to generate. This field is ONLY required when using AWS Bedrock with Langchain.") + context_size: int | None = Field( + default=1024, + description= + "Maximum number of tokens to generate. This field is ONLY required when using AWS Bedrock with LlamaIndex.") # Client parameters region_name: str | None = Field(default="None", description="AWS region to use.") diff --git a/tests/aiq/llm_providers/test_langchain_agents.py b/tests/aiq/llm_providers/test_langchain_agents.py new file mode 100644 index 000000000..ed7db4417 --- /dev/null +++ b/tests/aiq/llm_providers/test_langchain_agents.py @@ -0,0 +1,80 @@ +import pytest +from langchain_core.messages import AIMessage +from langchain_core.prompts import ChatPromptTemplate + +from aiq.builder.framework_enum import LLMFrameworkEnum +from aiq.builder.workflow_builder import WorkflowBuilder +from aiq.llm.aws_bedrock_llm import AWSBedrockModelConfig +from aiq.llm.nim_llm import NIMModelConfig +from aiq.llm.openai_llm import OpenAIModelConfig + + +@pytest.mark.integration +@pytest.mark.asyncio +async def test_nim_langchain_agent(): + """Test NIM LLM with LangChain agent. Requires NVIDIA_API_KEY to be set.""" + + prompt = ChatPromptTemplate.from_messages([("system", "You are a helpful AI assistant."), ("human", "{input}")]) + + + llm_config = NIMModelConfig(model_name="meta/llama-3.1-70b-instruct", temperature=0.0) + + + async with WorkflowBuilder() as builder: + await builder.add_llm("nim_llm", llm_config) + llm = await builder.get_llm("nim_llm", wrapper_type=LLMFrameworkEnum.LANGCHAIN) + + + agent = prompt | llm + + + response = await agent.ainvoke({"input": "What is 1+2?"}) + assert isinstance(response, AIMessage) + assert response.content is not None + assert isinstance(response.content, str) + assert "3" in response.content.lower() + + +@pytest.mark.integration +@pytest.mark.asyncio +async def test_openai_langchain_agent(): + """Test OpenAI LLM with LangChain agent. Requires OPENAI_API_KEY to be set.""" + prompt = ChatPromptTemplate.from_messages([("system", "You are a helpful AI assistant."), ("human", "{input}")]) + + llm_config = OpenAIModelConfig(model_name="gpt-3.5-turbo", temperature=0.0) + + async with WorkflowBuilder() as builder: + await builder.add_llm("openai_llm", llm_config) + llm = await builder.get_llm("openai_llm", wrapper_type=LLMFrameworkEnum.LANGCHAIN) + + agent = prompt | llm + + response = await agent.ainvoke({"input": "What is 1+2?"}) + assert isinstance(response, AIMessage) + assert response.content is not None + assert isinstance(response.content, str) + assert "3" in response.content.lower() + + +@pytest.mark.integration +@pytest.mark.asyncio +async def test_aws_bedrock_langchain_agent(): + """Test AWS Bedrock LLM with LangChain agent. Requires AWS_ACCESS_KEY_ID and AWS_SECRET_ACCESS_KEY to be set.""" + prompt = ChatPromptTemplate.from_messages([("system", "You are a helpful AI assistant."), ("human", "{input}")]) + + llm_config = AWSBedrockModelConfig(model_name="meta.llama3-3-70b-instruct-v1:0", + temperature=0.0, + region_name="us-east-2", + max_tokens=1024) + + async with WorkflowBuilder() as builder: + await builder.add_llm("aws_bedrock_llm", llm_config) + llm = await builder.get_llm("aws_bedrock_llm", wrapper_type=LLMFrameworkEnum.LANGCHAIN) + + agent = prompt | llm + + response = await agent.ainvoke({"input": "What is 1+2?"}) + assert isinstance(response, AIMessage) + assert response.content is not None + assert isinstance(response.content, str) + assert "3" in response.content.lower() diff --git a/tests/aiq/llm_providers/test_llama_index_agents.py b/tests/aiq/llm_providers/test_llama_index_agents.py new file mode 100644 index 000000000..8ec8280aa --- /dev/null +++ b/tests/aiq/llm_providers/test_llama_index_agents.py @@ -0,0 +1,89 @@ +from typing import Any + +import pytest +from llama_index.core.agent import ReActAgent +from llama_index.core.tools import BaseTool +from llama_index.core.tools import FunctionTool + +from aiq.builder.framework_enum import LLMFrameworkEnum +from aiq.builder.workflow_builder import WorkflowBuilder +from aiq.llm.aws_bedrock_llm import AWSBedrockModelConfig +from aiq.llm.nim_llm import NIMModelConfig +from aiq.llm.openai_llm import OpenAIModelConfig + + +def calculator(expression: str) -> str: + """Calculate the result of a mathematical expression. + + Args: + expression: A string containing a mathematical expression (e.g., "2 + 2") + + Returns: + The result of the calculation as a string + """ + try: + # Safely evaluate the expression + result = eval(expression) # pylint: disable=eval-used + return str(result) + except Exception as e: + return f"Error calculating expression: {str(e)}" + + +async def create_minimal_agent(llm_name: str, llm_config: Any) -> ReActAgent: + """Helper function to create a minimal agent with the specified LLM.""" + async with WorkflowBuilder() as builder: + await builder.add_llm(llm_name, llm_config) + llm = await builder.get_llm(llm_name, wrapper_type=LLMFrameworkEnum.LLAMA_INDEX) + + tools: list[BaseTool] = [ + FunctionTool.from_defaults(fn=calculator, + name="tool", + description="Use this tool to perform mathematical calculations. " + "Input should be a string containing a mathematical expression.") + ] + + return ReActAgent.from_tools(tools=tools, llm=llm, verbose=True) + + +@pytest.mark.integration +@pytest.mark.asyncio +async def test_nim_minimal_agent(): + """Test NIM LLM with minimal LlamaIndex agent. Requires NVIDIA_API_KEY to be set.""" + llm_config = NIMModelConfig(model_name="meta/llama-3.1-70b-instruct", temperature=0.0) + agent = await create_minimal_agent("nim_llm", llm_config) + + response = await agent.achat("What is 1+2?") + assert response is not None + assert hasattr(response, 'response') + assert "3" in response.response.lower() + + +@pytest.mark.integration +@pytest.mark.asyncio +async def test_openai_minimal_agent(): + """Test OpenAI LLM with minimal LlamaIndex agent. Requires OPENAI_API_KEY to be set.""" + llm_config = OpenAIModelConfig(model_name="gpt-3.5-turbo", temperature=0.0) + agent = await create_minimal_agent("openai_llm", llm_config) + + response = await agent.achat("What is 1+2?") + assert response is not None + assert hasattr(response, 'response') + assert "3" in response.response.lower() + + +@pytest.mark.integration +@pytest.mark.asyncio +async def test_aws_bedrock_minimal_agent(): + """Test AWS Bedrock LLM with minimal LlamaIndex agent. + Requires AWS_ACCESS_KEY_ID and AWS_SECRET_ACCESS_KEY to be set.""" + llm_config = AWSBedrockModelConfig(model_name="us.meta.llama3-1-405b-instruct-v1:0", + temperature=0.0, + region_name="us-east-2", + context_size=1024, + credentials_profile_name="default") + agent = await create_minimal_agent("aws_bedrock_llm", llm_config) + + response = await agent.achat("What is 1+2?") + assert response is not None + assert hasattr(response, 'response') + assert "3" in response.response.lower() From c8424243a3cf834f6187258b7f6f72eacf30896e Mon Sep 17 00:00:00 2001 From: Yuchen Zhang Date: Fri, 9 May 2025 15:59:27 -0700 Subject: [PATCH 47/60] add headers Signed-off-by: Yuchen Zhang --- .../llm_providers/test_langchain_agents.py | 32 +++++++++++++++---- .../llm_providers/test_llama_index_agents.py | 21 ++++++++++-- 2 files changed, 44 insertions(+), 9 deletions(-) diff --git a/tests/aiq/llm_providers/test_langchain_agents.py b/tests/aiq/llm_providers/test_langchain_agents.py index ed7db4417..927e9456d 100644 --- a/tests/aiq/llm_providers/test_langchain_agents.py +++ b/tests/aiq/llm_providers/test_langchain_agents.py @@ -1,3 +1,17 @@ +# SPDX-FileCopyrightText: Copyright (c) 2025, NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. import pytest from langchain_core.messages import AIMessage from langchain_core.prompts import ChatPromptTemplate @@ -12,22 +26,20 @@ @pytest.mark.integration @pytest.mark.asyncio async def test_nim_langchain_agent(): - """Test NIM LLM with LangChain agent. Requires NVIDIA_API_KEY to be set.""" + """ + Test NIM LLM with LangChain agent. Requires NVIDIA_API_KEY to be set. + """ prompt = ChatPromptTemplate.from_messages([("system", "You are a helpful AI assistant."), ("human", "{input}")]) - llm_config = NIMModelConfig(model_name="meta/llama-3.1-70b-instruct", temperature=0.0) - async with WorkflowBuilder() as builder: await builder.add_llm("nim_llm", llm_config) llm = await builder.get_llm("nim_llm", wrapper_type=LLMFrameworkEnum.LANGCHAIN) - agent = prompt | llm - response = await agent.ainvoke({"input": "What is 1+2?"}) assert isinstance(response, AIMessage) assert response.content is not None @@ -38,7 +50,9 @@ async def test_nim_langchain_agent(): @pytest.mark.integration @pytest.mark.asyncio async def test_openai_langchain_agent(): - """Test OpenAI LLM with LangChain agent. Requires OPENAI_API_KEY to be set.""" + """ + Test OpenAI LLM with LangChain agent. Requires OPENAI_API_KEY to be set. + """ prompt = ChatPromptTemplate.from_messages([("system", "You are a helpful AI assistant."), ("human", "{input}")]) llm_config = OpenAIModelConfig(model_name="gpt-3.5-turbo", temperature=0.0) @@ -59,7 +73,11 @@ async def test_openai_langchain_agent(): @pytest.mark.integration @pytest.mark.asyncio async def test_aws_bedrock_langchain_agent(): - """Test AWS Bedrock LLM with LangChain agent. Requires AWS_ACCESS_KEY_ID and AWS_SECRET_ACCESS_KEY to be set.""" + """ + Test AWS Bedrock LLM with LangChain agent. + Requires AWS_ACCESS_KEY_ID and AWS_SECRET_ACCESS_KEY to be set. + See https://docs.aws.amazon.com/bedrock/latest/userguide/setting-up.html for more information. + """ prompt = ChatPromptTemplate.from_messages([("system", "You are a helpful AI assistant."), ("human", "{input}")]) llm_config = AWSBedrockModelConfig(model_name="meta.llama3-3-70b-instruct-v1:0", diff --git a/tests/aiq/llm_providers/test_llama_index_agents.py b/tests/aiq/llm_providers/test_llama_index_agents.py index 8ec8280aa..31bdeaf93 100644 --- a/tests/aiq/llm_providers/test_llama_index_agents.py +++ b/tests/aiq/llm_providers/test_llama_index_agents.py @@ -1,3 +1,17 @@ +# SPDX-FileCopyrightText: Copyright (c) 2025, NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. from typing import Any import pytest @@ -74,8 +88,11 @@ async def test_openai_minimal_agent(): @pytest.mark.integration @pytest.mark.asyncio async def test_aws_bedrock_minimal_agent(): - """Test AWS Bedrock LLM with minimal LlamaIndex agent. - Requires AWS_ACCESS_KEY_ID and AWS_SECRET_ACCESS_KEY to be set.""" + """ + Test AWS Bedrock LLM with LangChain agent. + Requires AWS_ACCESS_KEY_ID and AWS_SECRET_ACCESS_KEY to be set. + See https://docs.aws.amazon.com/bedrock/latest/userguide/setting-up.html for more information. + """ llm_config = AWSBedrockModelConfig(model_name="us.meta.llama3-1-405b-instruct-v1:0", temperature=0.0, region_name="us-east-2", From d652426533030a17be9baa86d869ed374ca7166d Mon Sep 17 00:00:00 2001 From: Yuchen Zhang Date: Fri, 9 May 2025 16:25:44 -0700 Subject: [PATCH 48/60] roll back Signed-off-by: Yuchen Zhang --- .../telemetry_metrics_host_heartbeat_check_tool.py | 1 - .../telemetry_metrics_host_performance_check_tool.py | 3 --- 2 files changed, 4 deletions(-) diff --git a/examples/alert_triage_agent/src/aiq_alert_triage_agent/telemetry_metrics_host_heartbeat_check_tool.py b/examples/alert_triage_agent/src/aiq_alert_triage_agent/telemetry_metrics_host_heartbeat_check_tool.py index 8e56b52e5..94521bcd5 100644 --- a/examples/alert_triage_agent/src/aiq_alert_triage_agent/telemetry_metrics_host_heartbeat_check_tool.py +++ b/examples/alert_triage_agent/src/aiq_alert_triage_agent/telemetry_metrics_host_heartbeat_check_tool.py @@ -63,7 +63,6 @@ async def _arun(host_id: str) -> str: else: # In test mode, load test data from CSV file df = utils.get_test_data() - df = utils.get_test_data() data = utils.load_column_or_static( df=df, host_id=host_id, column="telemetry_metrics_host_heartbeat_check_tool:heartbeat_check_output") diff --git a/examples/alert_triage_agent/src/aiq_alert_triage_agent/telemetry_metrics_host_performance_check_tool.py b/examples/alert_triage_agent/src/aiq_alert_triage_agent/telemetry_metrics_host_performance_check_tool.py index 0389cde36..df76440ab 100644 --- a/examples/alert_triage_agent/src/aiq_alert_triage_agent/telemetry_metrics_host_performance_check_tool.py +++ b/examples/alert_triage_agent/src/aiq_alert_triage_agent/telemetry_metrics_host_performance_check_tool.py @@ -139,14 +139,11 @@ async def _arun(host_id: str) -> str: else: # In test mode, load test data from CSV file df = utils.get_test_data() - data_str = utils.load_column_or_static( - df = utils.get_test_data() data_str = utils.load_column_or_static( df=df, host_id=host_id, column="telemetry_metrics_host_performance_check_tool:performance_check_output") data = json.loads(data_str) - data = json.loads(data_str) # Extract the timestamp-value timeseries from the response data = data["data"]["result"][0]["values"] From 84938d2010650e4a72cbbc6886acc03b35b8c300 Mon Sep 17 00:00:00 2001 From: Yuchen Zhang Date: Fri, 9 May 2025 16:27:44 -0700 Subject: [PATCH 49/60] re-generate uv.lock Signed-off-by: Yuchen Zhang --- uv.lock | 1848 ++++++++++++++++++++++++++++++------------------------- 1 file changed, 1013 insertions(+), 835 deletions(-) diff --git a/uv.lock b/uv.lock index ceb356bb1..c3edd7d4c 100644 --- a/uv.lock +++ b/uv.lock @@ -1,5 +1,5 @@ version = 1 -revision = 1 +revision = 2 requires-python = ">=3.11, <3.13" resolution-markers = [ "python_full_version >= '3.12.4' and sys_platform == 'linux'", @@ 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"aiqtoolkit", editable = "." }, + { name = "langchain-aws", specifier = "~=0.2.1" }, { name = "langchain-core", specifier = "~=0.3.7" }, { name = "langchain-milvus", specifier = "~=0.1.5" }, { name = "langchain-milvus", specifier = "~=0.1.8" }, @@ -645,6 +647,7 @@ dependencies = [ { name = "llama-index" }, { name = "llama-index-core" }, { name = "llama-index-embeddings-nvidia" }, + { name = "llama-index-llms-bedrock" }, { name = "llama-index-llms-nvidia" }, { name = "llama-index-readers-file" }, ] @@ -655,6 +658,7 @@ requires-dist = [ { name = "llama-index", specifier = "==0.12.15" }, { name = "llama-index-core", specifier = "==0.12.15" }, { name = "llama-index-embeddings-nvidia", specifier = "==0.3.1" }, + { name = "llama-index-llms-bedrock", specifier = "==0.3.8" }, { name = "llama-index-llms-nvidia", specifier = "==0.3.1" }, { name = "llama-index-readers-file", specifier = "==0.4.4" }, ] @@ -758,7 +762,7 @@ version = "0.7.0" source = { registry = "https://pypi.org/simple" } sdist = 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Zhang Date: Fri, 9 May 2025 17:02:21 -0700 Subject: [PATCH 51/60] fix CI Signed-off-by: Yuchen Zhang --- src/aiq/llm/aws_bedrock_llm.py | 11 +++++++---- src/aiq/utils/type_utils.py | 1 + 2 files changed, 8 insertions(+), 4 deletions(-) diff --git a/src/aiq/llm/aws_bedrock_llm.py b/src/aiq/llm/aws_bedrock_llm.py index 1ed749c7c..a5d1b2cf6 100644 --- a/src/aiq/llm/aws_bedrock_llm.py +++ b/src/aiq/llm/aws_bedrock_llm.py @@ -33,10 +33,13 @@ class AWSBedrockModelConfig(LLMBaseConfig, name="aws_bedrock"): serialization_alias="model", description="The model name for the hosted AWS Bedrock.") temperature: float = Field(default=0.0, description="Sampling temperature in [0, 1].") - max_tokens: int | None = Field( - default=1024, - description= - "Maximum number of tokens to generate. This field is ONLY required when using AWS Bedrock with Langchain.") + max_tokens: int | None = Field(default=1024, + description="Maximum number of tokens to generate." + "This field is ONLY required when using AWS Bedrock with Langchain.") + context_size: int | None = Field(default=1024, + description="Maximum number of tokens to generate." + "This field is ONLY required when using AWS Bedrock with LlamaIndex.") + context_size: int | None = Field( default=1024, description= diff --git a/src/aiq/utils/type_utils.py b/src/aiq/utils/type_utils.py index 3bbf8ac90..86aedadb1 100644 --- a/src/aiq/utils/type_utils.py +++ b/src/aiq/utils/type_utils.py @@ -56,6 +56,7 @@ def is_valid_json(string): def override(func): return func + class DecomposedType: def __init__(self, original: type): From 356ee0f90a8d6547654dc1a1d59a1d6516decb3f Mon Sep 17 00:00:00 2001 From: Yuchen Zhang Date: Fri, 9 May 2025 17:05:54 -0700 Subject: [PATCH 52/60] fix CI Signed-off-by: Yuchen Zhang --- src/aiq/llm/aws_bedrock_llm.py | 5 ----- 1 file changed, 5 deletions(-) diff --git a/src/aiq/llm/aws_bedrock_llm.py b/src/aiq/llm/aws_bedrock_llm.py index a5d1b2cf6..aaf1698c6 100644 --- a/src/aiq/llm/aws_bedrock_llm.py +++ b/src/aiq/llm/aws_bedrock_llm.py @@ -40,11 +40,6 @@ class AWSBedrockModelConfig(LLMBaseConfig, name="aws_bedrock"): description="Maximum number of tokens to generate." 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This field is ONLY required when using AWS Bedrock with LlamaIndex.") - # Client parameters region_name: str | None = Field(default="None", description="AWS region to use.") base_url: str | None = Field( From d49db6c680f54e45dda6d89585c86f82692ee277 Mon Sep 17 00:00:00 2001 From: Yuchen Zhang Date: Wed, 21 May 2025 10:44:12 -0700 Subject: [PATCH 53/60] remove comments Signed-off-by: Yuchen Zhang --- src/aiq/agent/react_agent/agent.py | 6 ++---- 1 file changed, 2 insertions(+), 4 deletions(-) diff --git a/src/aiq/agent/react_agent/agent.py b/src/aiq/agent/react_agent/agent.py index 5058a8081..1e451b28a 100644 --- a/src/aiq/agent/react_agent/agent.py +++ b/src/aiq/agent/react_agent/agent.py @@ -125,8 +125,7 @@ async def agent_node(self, state: ReActGraphState): output_message = "" async for event in self.agent.astream({"question": question}, config=RunnableConfig(callbacks=self.callbacks)): - # output_message += event.content - continue + output_message += event.content output_message = 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Zhang Date: Thu, 22 May 2025 10:59:55 -0700 Subject: [PATCH 55/60] add documentation of AWS account set up Signed-off-by: Yuchen Zhang --- docs/source/extend/adding-an-llm-provider.md | 31 ++++++++++ .../extend/integrating-aws-bedrock-models.md | 49 +++++++++++++++ .../configs/config-aws.yml | 60 ------------------- 3 files changed, 80 insertions(+), 60 deletions(-) create mode 100644 docs/source/extend/integrating-aws-bedrock-models.md delete mode 100644 examples/simple_calculator/src/aiq_simple_calculator/configs/config-aws.yml diff --git a/docs/source/extend/adding-an-llm-provider.md b/docs/source/extend/adding-an-llm-provider.md index 5f62bc329..d0fcb75b1 100644 --- a/docs/source/extend/adding-an-llm-provider.md +++ b/docs/source/extend/adding-an-llm-provider.md @@ -112,6 +112,37 @@ Similar to the registration function for the provider, the client registration f In the above example, the `ChatOpenAI` class is imported lazily, allowing for the client to be registered without importing the client class until it is needed. Thus, improving performance and startup times. ::: +## Test the Combination of LLM Provider and Client + +After implementing a new LLM provider, it's important to verify that it works correctly with all existing LLM clients. This can be done by writing integration tests. Here's an example of how to test the integration between the NIM LLM provider and the LangChain framework: + +```python +@pytest.mark.integration +@pytest.mark.asyncio +async def test_nim_langchain_agent(): + """ + Test NIM LLM with LangChain agent. Requires NVIDIA_API_KEY to be set. + """ + + prompt = ChatPromptTemplate.from_messages([("system", "You are a helpful AI assistant."), ("human", "{input}")]) + + llm_config = NIMModelConfig(model_name="meta/llama-3.1-70b-instruct", temperature=0.0) + + async with WorkflowBuilder() as builder: + await builder.add_llm("nim_llm", llm_config) + llm = await builder.get_llm("nim_llm", wrapper_type=LLMFrameworkEnum.LANGCHAIN) + + agent = prompt | llm + + response = await agent.ainvoke({"input": "What is 1+2?"}) + assert isinstance(response, AIMessage) + assert response.content is not None + assert isinstance(response.content, str) + assert "3" in response.content.lower() +``` + +Note: Since this test requires an API key, it's marked with `@pytest.mark.integration` to exclude it from CI runs. However, these tests are valuable for maintaining and verifying the functionality of LLM providers and their client integrations. + ## Packaging the Provider and Client The provider and client will need to be bundled into a Python package, which in turn will be registered with AIQ toolkit as a [plugin](../extend/plugins.md). In the `pyproject.toml` file of the package the `project.entry-points.'aiq.components'` section, defines a Python module as the entry point of the plugin. Details on how this is defined are found in the [Entry Point](../extend/plugins.md#entry-point) section of the plugins document. By convention, the entry point module is named `register.py`, but this is not a requirement. diff --git a/docs/source/extend/integrating-aws-bedrock-models.md b/docs/source/extend/integrating-aws-bedrock-models.md new file mode 100644 index 000000000..49af6d100 --- /dev/null +++ b/docs/source/extend/integrating-aws-bedrock-models.md @@ -0,0 +1,49 @@ + + +# Integrating AWS Bedrock Models to AIQ Toolkit Workflow + +To integrate AWS Bedrock models into your AIQ Toolkit workflow, follow these steps: + +1. **Prerequisites**: + - Set up AWS credentials by configuring `AWS_ACCESS_KEY_ID` and `AWS_SECRET_ACCESS_KEY`. For detailed setup instructions, refer to the [AWS Bedrock setup guide](https://docs.aws.amazon.com/bedrock/latest/userguide/setting-up.html) + +1. **Configuration**: + Add the AWS Bedrock LLM configuration to your workflow config file. Make sure the `region_name` matches the region of your `AWS` account, and the `credentials_profile_name` matches the field in your credential file. Here's an example: + +```yaml +llms: + aws_bedrock_llm: + _type: aws_bedrock + model_name: meta.llama3-3-70b-instruct-v1:0 + temperature: 0.0 + max_tokens: 1024 + region_name: us-east-2 + credentials_profile_name: default +``` + +3. **Usage in Workflow**: + Reference the AWS Bedrock LLM in your workflow configuration: + +```yaml +workflow: + _type: react_agent + llm_name: aws_bedrock_llm + # ... other workflow configurations +``` + +The AWS Bedrock integration supports various models and configurations, allowing you to leverage AWS's managed LLM services within your AIQ Toolkit workflows. diff --git a/examples/simple_calculator/src/aiq_simple_calculator/configs/config-aws.yml b/examples/simple_calculator/src/aiq_simple_calculator/configs/config-aws.yml deleted file mode 100644 index d86b45bf1..000000000 --- a/examples/simple_calculator/src/aiq_simple_calculator/configs/config-aws.yml +++ /dev/null @@ -1,60 +0,0 @@ -# SPDX-FileCopyrightText: Copyright (c) 2024-2025, NVIDIA CORPORATION & AFFILIATES. All rights reserved. -# SPDX-License-Identifier: Apache-2.0 -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -general: - use_uvloop: true - -functions: - calculator_multiply: - _type: calculator_multiply - calculator_inequality: - _type: calculator_inequality - calculator_divide: - _type: aiq_simple_calculator/calculator_divide - current_datetime: - _type: current_datetime - calculator_subtract: - _type: calculator_subtract - -llms: - nim_llm: - _type: nim - model_name: meta/llama-3.1-70b-instruct - temperature: 0.0 - max_tokens: 1024 - openai_llm: - _type: openai - model_name: gpt-3.5-turbo - max_tokens: 2000 - aws_bedrock_llm: - _type: aws_bedrock - model_name: meta.llama3-3-70b-instruct-v1:0 - temperature: 0.0 - max_tokens: 1024 - region_name: us-east-2 - credentials_profile_name: default - -workflow: - _type: react_agent - tool_names: - - calculator_multiply - - calculator_inequality - - current_datetime - - calculator_divide - - calculator_subtract - llm_name: aws_bedrock_llm - verbose: true - retry_parsing_errors: true - max_retries: 3 From aec994e147e17edff4f96bedde9fd9e55b4d2387 Mon Sep 17 00:00:00 2001 From: Yuchen Zhang Date: Thu, 29 May 2025 14:44:41 -0700 Subject: [PATCH 56/60] fix comments Signed-off-by: Yuchen Zhang --- docs/source/extend/adding-an-llm-provider.md | 1 - .../extend/integrating-aws-bedrock-models.md | 32 +- src/aiq/llm/aws_bedrock_llm.py | 4 +- src/aiq/llm/register.py | 2 +- .../llm_providers/test_langchain_agents.py | 3 - .../llm_providers/test_llama_index_agents.py | 3 - uv.lock | 794 ++++++++++-------- 7 files changed, 488 insertions(+), 351 deletions(-) diff --git a/docs/source/extend/adding-an-llm-provider.md b/docs/source/extend/adding-an-llm-provider.md index d0fcb75b1..b24fa5523 100644 --- a/docs/source/extend/adding-an-llm-provider.md +++ b/docs/source/extend/adding-an-llm-provider.md @@ -118,7 +118,6 @@ After implementing a new LLM provider, it's important to verify that it works co ```python @pytest.mark.integration -@pytest.mark.asyncio async def test_nim_langchain_agent(): """ Test NIM LLM with LangChain agent. Requires NVIDIA_API_KEY to be set. diff --git a/docs/source/extend/integrating-aws-bedrock-models.md b/docs/source/extend/integrating-aws-bedrock-models.md index 49af6d100..941420957 100644 --- a/docs/source/extend/integrating-aws-bedrock-models.md +++ b/docs/source/extend/integrating-aws-bedrock-models.md @@ -15,15 +15,20 @@ See the License for the specific language governing permissions and limitations under the License. --> -# Integrating AWS Bedrock Models to AIQ Toolkit Workflow +# AWS Bedrock Integration -To integrate AWS Bedrock models into your AIQ Toolkit workflow, follow these steps: +The Agent Intelligence Toolkit supports integration with multiple LLM providers, including AWS Bedrock. This documentation provides a comprehensive guide on how to integrate AWS Bedrock models into your AIQ Toolkit workflow. To view the full list of supported LLM providers, run `aiq info components -t llm_provider`. -1. **Prerequisites**: - - Set up AWS credentials by configuring `AWS_ACCESS_KEY_ID` and `AWS_SECRET_ACCESS_KEY`. For detailed setup instructions, refer to the [AWS Bedrock setup guide](https://docs.aws.amazon.com/bedrock/latest/userguide/setting-up.html) -1. **Configuration**: - Add the AWS Bedrock LLM configuration to your workflow config file. Make sure the `region_name` matches the region of your `AWS` account, and the `credentials_profile_name` matches the field in your credential file. Here's an example: +## Configuration + +### Prerequisites +Before integrating AWS Bedrock, ensure you have: +- Set up AWS credentials by configuring `AWS_ACCESS_KEY_ID` and `AWS_SECRET_ACCESS_KEY` +- For detailed setup instructions, refer to the [AWS Bedrock setup guide](https://docs.aws.amazon.com/bedrock/latest/userguide/setting-up.html) + +### Example Configuration +Add the AWS Bedrock LLM configuration to your workflow config file. Make sure the `region_name` matches the region of your AWS account, and the `credentials_profile_name` matches the field in your credential file: ```yaml llms: @@ -36,8 +41,17 @@ llms: credentials_profile_name: default ``` -3. **Usage in Workflow**: - Reference the AWS Bedrock LLM in your workflow configuration: +### Configurable Options +* `model_name`: The name of the AWS Bedrock model to use +* `temperature`: Controls randomness in the output (0.0 to 1.0) +* `max_tokens`: Maximum number of tokens to generate +* `region_name`: AWS region where your Bedrock service is hosted +* `credentials_profile_name`: AWS credentials profile name to use + +## Usage in Workflow + +### Basic Integration +Reference the AWS Bedrock LLM in your workflow configuration: ```yaml workflow: @@ -45,5 +59,3 @@ workflow: llm_name: aws_bedrock_llm # ... other workflow configurations ``` - -The AWS Bedrock integration supports various models and configurations, allowing you to leverage AWS's managed LLM services within your AIQ Toolkit workflows. diff --git a/src/aiq/llm/aws_bedrock_llm.py b/src/aiq/llm/aws_bedrock_llm.py index aaf1698c6..a3f03f74c 100644 --- a/src/aiq/llm/aws_bedrock_llm.py +++ b/src/aiq/llm/aws_bedrock_llm.py @@ -32,11 +32,13 @@ class AWSBedrockModelConfig(LLMBaseConfig, name="aws_bedrock"): model_name: str = Field(validation_alias=AliasChoices("model_name", "model"), serialization_alias="model", description="The model name for the hosted AWS Bedrock.") - temperature: float = Field(default=0.0, description="Sampling temperature in [0, 1].") + temperature: float = Field(default=0.0, ge=0.0, le=1.0, description="Sampling temperature in [0, 1].") max_tokens: int | None = Field(default=1024, + gt=0, description="Maximum number of tokens to generate." "This field is ONLY required when using AWS Bedrock with Langchain.") context_size: int | None = Field(default=1024, + gt=0, description="Maximum number of tokens to generate." "This field is ONLY required when using AWS Bedrock with LlamaIndex.") diff --git a/src/aiq/llm/register.py b/src/aiq/llm/register.py index 9485489dc..aa3ce423f 100644 --- a/src/aiq/llm/register.py +++ b/src/aiq/llm/register.py @@ -18,6 +18,6 @@ # isort:skip_file # Import any providers which need to be automatically registered here +from . import aws_bedrock_llm from . import nim_llm from . import openai_llm -from . import aws_bedrock_llm diff --git a/tests/aiq/llm_providers/test_langchain_agents.py b/tests/aiq/llm_providers/test_langchain_agents.py index 927e9456d..518dd65dd 100644 --- a/tests/aiq/llm_providers/test_langchain_agents.py +++ b/tests/aiq/llm_providers/test_langchain_agents.py @@ -24,7 +24,6 @@ @pytest.mark.integration -@pytest.mark.asyncio async def test_nim_langchain_agent(): """ Test NIM LLM with LangChain agent. Requires NVIDIA_API_KEY to be set. @@ -48,7 +47,6 @@ async def test_nim_langchain_agent(): @pytest.mark.integration -@pytest.mark.asyncio async def test_openai_langchain_agent(): """ Test OpenAI LLM with LangChain agent. Requires OPENAI_API_KEY to be set. @@ -71,7 +69,6 @@ async def test_openai_langchain_agent(): @pytest.mark.integration -@pytest.mark.asyncio async def test_aws_bedrock_langchain_agent(): """ Test AWS Bedrock LLM with LangChain agent. diff --git a/tests/aiq/llm_providers/test_llama_index_agents.py b/tests/aiq/llm_providers/test_llama_index_agents.py index 31bdeaf93..3fc3ac52a 100644 --- a/tests/aiq/llm_providers/test_llama_index_agents.py +++ b/tests/aiq/llm_providers/test_llama_index_agents.py @@ -60,7 +60,6 @@ async def create_minimal_agent(llm_name: str, llm_config: Any) -> ReActAgent: @pytest.mark.integration -@pytest.mark.asyncio async def test_nim_minimal_agent(): """Test NIM LLM with minimal LlamaIndex agent. Requires NVIDIA_API_KEY to be set.""" llm_config = NIMModelConfig(model_name="meta/llama-3.1-70b-instruct", temperature=0.0) @@ -73,7 +72,6 @@ async def test_nim_minimal_agent(): @pytest.mark.integration -@pytest.mark.asyncio async def test_openai_minimal_agent(): """Test OpenAI LLM with minimal LlamaIndex agent. Requires OPENAI_API_KEY to be set.""" llm_config = OpenAIModelConfig(model_name="gpt-3.5-turbo", temperature=0.0) @@ -86,7 +84,6 @@ async def test_openai_minimal_agent(): @pytest.mark.integration -@pytest.mark.asyncio async def test_aws_bedrock_minimal_agent(): """ Test AWS Bedrock LLM with LangChain agent. diff --git a/uv.lock b/uv.lock index 9670bd7e7..7cacaed12 100644 --- a/uv.lock +++ b/uv.lock @@ -1,5 +1,5 @@ version = 1 -revision = 1 +revision = 2 requires-python = ">=3.11, <3.13" resolution-markers = [ "python_full_version >= '3.12.4' and sys_platform == 'linux'", @@ -115,7 +115,7 @@ wheels = [ [[package]] name = "aiohttp" -version = "3.11.18" +version = "3.12.4" source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "aiohappyeyeballs" }, @@ -126,40 +126,42 @@ dependencies = [ { name = "propcache" }, { name = "yarl" }, ] -sdist = { url = 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b/docs/source/extend/adding-an-llm-provider.md index b24fa5523..b934cd001 100644 --- a/docs/source/extend/adding-an-llm-provider.md +++ b/docs/source/extend/adding-an-llm-provider.md @@ -140,7 +140,7 @@ async def test_nim_langchain_agent(): assert "3" in response.content.lower() ``` -Note: Since this test requires an API key, it's marked with `@pytest.mark.integration` to exclude it from CI runs. However, these tests are valuable for maintaining and verifying the functionality of LLM providers and their client integrations. +Note: Since this test requires an API key, it's marked with `@pytest.mark.integration` to exclude it from CI runs. However, these tests are necessary for maintaining and verifying the functionality of LLM providers and their client integrations. ## Packaging the Provider and Client From f81f5c15865ba20b6accc409d49fec6e11bdf8d0 Mon Sep 17 00:00:00 2001 From: Yuchen Zhang Date: Thu, 29 May 2025 14:50:55 -0700 Subject: [PATCH 58/60] update doc Signed-off-by: Yuchen Zhang --- docs/source/extend/integrating-aws-bedrock-models.md | 2 -- 1 file changed, 2 deletions(-) diff --git a/docs/source/extend/integrating-aws-bedrock-models.md b/docs/source/extend/integrating-aws-bedrock-models.md index 941420957..24e681028 100644 --- a/docs/source/extend/integrating-aws-bedrock-models.md +++ b/docs/source/extend/integrating-aws-bedrock-models.md @@ -49,8 +49,6 @@ llms: * `credentials_profile_name`: AWS credentials profile name to use ## Usage in Workflow - -### Basic Integration Reference the AWS Bedrock LLM in your workflow configuration: ```yaml From 69a67a78be9bb5f8308f81f63aff2d5179023c0b Mon Sep 17 00:00:00 2001 From: Yuchen Zhang Date: Thu, 29 May 2025 14:57:08 -0700 Subject: [PATCH 59/60] update docs Signed-off-by: Yuchen Zhang --- docs/source/extend/integrating-aws-bedrock-models.md | 12 +++++++----- 1 file changed, 7 insertions(+), 5 deletions(-) diff --git a/docs/source/extend/integrating-aws-bedrock-models.md b/docs/source/extend/integrating-aws-bedrock-models.md index 24e681028..70876f26d 100644 --- a/docs/source/extend/integrating-aws-bedrock-models.md +++ b/docs/source/extend/integrating-aws-bedrock-models.md @@ -42,11 +42,13 @@ llms: ``` ### Configurable Options -* `model_name`: The name of the AWS Bedrock model to use -* `temperature`: Controls randomness in the output (0.0 to 1.0) -* `max_tokens`: Maximum number of tokens to generate -* `region_name`: AWS region where your Bedrock service is hosted -* `credentials_profile_name`: AWS credentials profile name to use +* `model_name`: The name of the AWS Bedrock model to use (required) +* `temperature`: Controls randomness in the output (0.0 to 1.0, default: 0.0) +* `max_tokens`: Maximum number of tokens to generate (must be > 0, default: 1024) +* `context_size`: Maximum number of tokens for context (must be > 0, default: 1024, required for LlamaIndex) +* `region_name`: AWS region where your Bedrock service is hosted (default: "None") +* `base_url`: Custom Bedrock endpoint URL (default: None, needed if you don't want to use the default us-east-1 endpoint) +* `credentials_profile_name`: AWS credentials profile name from ~/.aws/credentials or ~/.aws/config files (default: None) ## Usage in Workflow Reference the AWS Bedrock LLM in your workflow configuration: From 93ac48feffd9dae99765db6918f741214139b644 Mon Sep 17 00:00:00 2001 From: Yuchen Zhang Date: Thu, 29 May 2025 15:08:09 -0700 Subject: [PATCH 60/60] add doc into toctree Signed-off-by: Yuchen Zhang --- docs/source/index.md | 1 + 1 file changed, 1 insertion(+) diff --git a/docs/source/index.md b/docs/source/index.md index 53d8d7d92..3ba560922 100644 --- a/docs/source/index.md +++ b/docs/source/index.md @@ -108,6 +108,7 @@ Adding a Custom Evaluator <./extend/custom-evaluator.md> ./extend/adding-a-retriever.md ./extend/memory.md Adding an LLM Provider <./extend/adding-an-llm-provider.md> +Integrating AWS Bedrock Models <./extend/integrating-aws-bedrock-models.md> ``` ```{toctree}