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14 changes: 7 additions & 7 deletions README.md
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Expand Up @@ -24,23 +24,23 @@ AgentIQ is a flexible library designed to seamlessly integrate your enterprise a
## Key Features

- [**Framework Agnostic:**](https://docs.nvidia.com/agentiq/latest/concepts/plugins.html) Works with any agentic framework, so you can use your current technology stack without replatforming.
- [**Reusability:**](https://docs.nvidia.com/agentiq/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/agentiq/latest/guides/create_customize_workflows.html) Start with a pre-built agent, tool, or workflow, and customize it to your needs.
- [**Reusability:**](https://docs.nvidia.com/agentiq/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/agentiq/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/agentiq/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/agentiq/latest/guides/observe_workflow_with_phoenix.html) Monitor and debug your workflows with any OpenTelemetry-compatible observability tool.
- [**Observability:**](https://docs.nvidia.com/agentiq/latest/guides/observe-workflow-with-phoenix.html) Monitor and debug your workflows with any OpenTelemetry-compatible observability tool.
- [**Evaluation System:**](https://docs.nvidia.com/agentiq/latest/guides/evaluate.html) Validate and maintain accuracy of agentic workflows with built-in evaluation tools.
- [**User Interface:**](https://docs.nvidia.com/agentiq/latest/guides/use_aiq_serve.html) Use the AgentIQ UI chat interface to interact with your agents, visualize output, and debug workflows.
- [**User Interface:**](https://docs.nvidia.com/agentiq/latest/guides/using-agentiq-ui-and-server.html) Use the AgentIQ UI chat interface to interact with your agents, visualize output, and debug workflows.
- [**MCP Compatibility**](https://docs.nvidia.com/agentiq/latest/components/mcp.html) Compatible with Model Context Protocol (MCP), allowing tools served by MCP Servers to be used as AgentIQ functions.

With AgentIQ, you can move quickly, experiment freely, and ensure reliability across all your agent-driven projects.

## Links

* [Documentation](https://docs.nvidia.com/agentiq/latest/index.html): Explore the full documentation for AgentIQ.
* [About AgentIQ](https://docs.nvidia.com/agentiq/latest/intro/why_aiq.html): Learn more about the benefits of using AgentIQ.
* [Get Started Guide](https://docs.nvidia.com/agentiq/latest/intro/get_started.html): Set up your environment and start building with AgentIQ.
* [About AgentIQ](https://docs.nvidia.com/agentiq/latest/intro/why-agentiq.html): Learn more about the benefits of using AgentIQ.
* [Get Started Guide](https://docs.nvidia.com/agentiq/latest/intro/get-started.html): Set up your environment and start building with AgentIQ.
* [Examples](https://github.com/NVIDIA/AgentIQ/tree/main/examples#readme): Explore examples of AgentIQ workflows.
* [Create and Customize AgentIQ Workflows](https://docs.nvidia.com/agentiq/latest/guides/create_customize_workflows.html): Learn how to create and customize AgentIQ workflows.
* [Create and Customize AgentIQ Workflows](https://docs.nvidia.com/agentiq/latest/guides/create-customize-workflows.html): Learn how to create and customize AgentIQ workflows.
* [Evaluate with AgentIQ](https://docs.nvidia.com/agentiq/latest/guides/evaluate.html): Learn how to evaluate your AgentIQ workflows.
* [Troubleshooting](https://docs.nvidia.com/agentiq/latest/troubleshooting.html): Get help with common issues.

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Expand Up @@ -23,3 +23,4 @@ clean:
# $(O) is meant as a shortcut for $(SPHINXOPTS).
html: Makefile
@$(SPHINXBUILD) -M html "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O)
@$(SPHINXBUILD) -b linkcheck "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O)
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2 changes: 1 addition & 1 deletion docs/source/concepts/plugins.md
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Expand Up @@ -111,7 +111,7 @@ aiq_langchain = "aiq.plugins.langchain.register"
What this means is that when the `agentiq-langchain` distribution is installed, the `aiq.plugins.langchain.register` module will be imported when the entry point is loaded. This module must contain all the `@register_<plugin_type>` decorators which need to be loaded when the library is initialized.

> [!NOTE]
> The above syntax in the `pyproject.toml` file is specific to [uv](https://docs.astral.sh/uv/reference/pyproject-toml/). Other package managers may have a different syntax for specifying entry points.
> The above syntax in the `pyproject.toml` file is specific to [uv](https://docs.astral.sh/uv/concepts/projects/config/#plugin-entry-points). Other package managers may have a different syntax for specifying entry points.


#### Multiple Plugins in a Single Distribution
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66 changes: 19 additions & 47 deletions src/aiq/meta/pypi.md
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Expand Up @@ -15,69 +15,41 @@ See the License for the specific language governing permissions and
limitations under the License.
-->

![NVIDIA AgentIQ](./docs/source/_static/agentiq_banner.png "AgentIQ banner image")
![NVIDIA AgentIQ](https://media.githubusercontent.com/media/NVIDIA/AgentIQ/refs/heads/main/docs/source/_static/agentiq_banner.png "AgentIQ banner image")

# NVIDIA AgentIQ

AgentIQ 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, AgentIQ enables true composability: build once and reuse anywhere.

## Key Features
AgentIQ works with any agentic framework, so you can use your current technology stack without replatforming.

- [**Framework Agnostic:**](https://docs.nvidia.com/agentiq/latest/concepts/plugins.html) Works with any agentic framework, so you can use your current technology stack without replatforming.
- [**Reusability:**](https://docs.nvidia.com/agentiq/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/agentiq/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/agentiq/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/agentiq/latest/guides/observe_workflow_with_phoenix.html) Monitor and debug your workflows with any OpenTelemetry-compatible observability tool.
- [**Evaluation System:**](https://docs.nvidia.com/agentiq/latest/guides/evaluate.html) Validate and maintain accuracy of agentic workflows with built-in evaluation tools.
- [**User Interface:**](https://docs.nvidia.com/agentiq/latest/guides/use_aiq_serve.html) Use the AgentIQ UI chat interface to interact with your agents, visualize output, and debug workflows.
- [**MCP Compatibility**](https://docs.nvidia.com/agentiq/latest/components/mcp.html) Compatible with Model Context Protocol (MCP), allowing tools served by MCP Servers to be used as AgentIQ functions.
### Workflows
![AgentIQ Workflow](https://media.githubusercontent.com/media/NVIDIA/AgentIQ/refs/heads/main/docs/source/_static/config_to_workflow.png "AgentIQ workflow image")

With AgentIQ, you can move quickly, experiment freely, and ensure reliability across all your agent-driven projects.
AgentIQ workflows are fully configurable via a YAML file and can be executed on any platform with a single command.

## Links

* [Documentation](https://docs.nvidia.com/agentiq/latest/index.html): Explore the full documentation for AgentIQ.
* [About AgentIQ](https://docs.nvidia.com/agentiq/latest/intro/why_aiq.html): Learn more about the benefits of using AgentIQ.
* [Get Started Guide](https://docs.nvidia.com/agentiq/latest/intro/get_started.html): Set up your environment and start building with AgentIQ.
* [Examples](https://github.com/NVIDIA/AgentIQ/tree/main/examples#readme): Explore examples of AgentIQ workflows.
* [Create and Customize AgentIQ Workflows](https://docs.nvidia.com/agentiq/latest/guides/create_customize_workflows.html): Learn how to create and customize AgentIQ workflows.
* [Evaluate with AgentIQ](https://docs.nvidia.com/agentiq/latest/guides/evaluate.html): Learn how to evaluate your AgentIQ workflows.
* [Troubleshooting](https://docs.nvidia.com/agentiq/latest/troubleshooting.html): Get help with troubleshooting common issues.


## Get Started

1. Ensure you have Python 3.12, and a Python development environment.
### Profiling
![AgentIQ Profiling](https://media.githubusercontent.com/media/NVIDIA/AgentIQ/refs/heads/main/docs/source/_static/profiler_token_scatter.png "AgentIQ profiling image")

Assuming Python 3.12 is installed, create a virtual environment and activate it with:
```bash
python -m venv env
source env/bin/activate
```
Profile entire workflows down to the tool and agent level, track input/output tokens and timings, and identify bottlenecks.

2. Install AgentIQ with support for your desired LLM framework
### Observability
![AgentIQ Observability](https://media.githubusercontent.com/media/NVIDIA/AgentIQ/refs/heads/main/docs/source/_static/observability.png "AgentIQ observability image")

```bash
pip install agentiq[<your framework>]
```
Monitor and debug your workflows with any OpenTelemetry-compatible observability tool. For example, visualize your workflows with Phoenix.

For example, to install AgentIQ with support for the LangChain framework (which is necessary for the Hello World example), use the following command:
### Evaluation System
![AgentIQ Evaluation](https://media.githubusercontent.com/media/NVIDIA/AgentIQ/refs/heads/main/docs/source/_static/profiler_ragas_metrics.png "AgentIQ evaluation image")

```bash
pip install agentiq[langchain]
```
Validate and maintain accuracy of agentic workflows with built-in evaluation tools.

> [!NOTE]
> AgentIQ also supports other LLM frameworks. Refer to the [plugin guide](https://docs.nvidia.com/agentiq/latest/concepts/plugins.md) for more information.


3. Verify the installation using the AgentIQ CLI

```bash
aiq --version
```
## Links
* [Documentation](https://docs.nvidia.com/agentiq/latest/index.html): Explore the full documentation for AgentIQ.
* [About AgentIQ](https://docs.nvidia.com/agentiq/latest/intro/why-agentiq.html): Learn more about the benefits of using AgentIQ.

This should output the AgentIQ version which is currently installed.
## First time user?
If this is your first time using AgentIQ, it is recommended to install the latest version from the [source repository](https://github.com/NVIDIA/AgentIQ?tab=readme-ov-file#get-started) on GitHub. This package is intended for users who are familiar with AgentIQ applications and need to add AgentIQ as a dependency to their project.

## Feedback

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