From df7c6a6e07b570a74bfff2ff29cbc653868c9ac8 Mon Sep 17 00:00:00 2001 From: Danielle Ali <44468613+dmariali@users.noreply.github.com> Date: Thu, 6 Aug 2026 10:13:08 -0400 Subject: [PATCH 1/6] chore(copilot): Move copilot from NAT to Fabric Signed-off-by: Danielle Ali <44468613+dmariali@users.noreply.github.com> --- agents/nemo-studio-copilot-spec/AGENT-SPEC.md | 33 +- agents/nemo-studio-copilot-spec/agent.yaml | 71 + .../skills/auditor/SKILL.md | 17 + .../skills/benchmark-execution/SKILL.md | 20 + .../skills/entities/SKILL.md | 10 + .../skills/evaluator/SKILL.md | 18 + .../skills/files/SKILL.md | 34 + .../skills/guardrails/SKILL.md | 16 + .../skills/inference/SKILL.md | 16 + .../skills/secrets/SKILL.md | 10 + .../skills/workspace/SKILL.md | 14 + agents/nemo-studio-copilot/.dockerignore | 1 - agents/nemo-studio-copilot/Dockerfile | 78 - .../Dockerfile.fabric-local | 73 + agents/nemo-studio-copilot/agent.yaml | 71 + agents/nemo-studio-copilot/pyproject.toml | 18 +- .../src/nemo_studio_copilot/mcp_server.py | 44 + .../nemo-studio-copilot-eval.yml | 98 - .../nemo-studio-copilot.remote.yml | 22 - .../nemo-studio-copilot.yml | 80 - .../src/nemo_studio_copilot/register.py | 727 +----- .../src/nemo_studio_copilot/wrapper.py | 562 ----- .../nemo-studio-copilot/tests/smoke_test.md | 157 +- .../tests/test_nemo_studio_copilot.py | 1072 +-------- agents/nemo-studio-copilot/uv.lock | 1985 ++++------------- 25 files changed, 1047 insertions(+), 4200 deletions(-) create mode 100644 agents/nemo-studio-copilot-spec/agent.yaml create mode 100644 agents/nemo-studio-copilot-spec/skills/auditor/SKILL.md create mode 100644 agents/nemo-studio-copilot-spec/skills/benchmark-execution/SKILL.md create mode 100644 agents/nemo-studio-copilot-spec/skills/entities/SKILL.md create mode 100644 agents/nemo-studio-copilot-spec/skills/evaluator/SKILL.md create mode 100644 agents/nemo-studio-copilot-spec/skills/files/SKILL.md create mode 100644 agents/nemo-studio-copilot-spec/skills/guardrails/SKILL.md create mode 100644 agents/nemo-studio-copilot-spec/skills/inference/SKILL.md create mode 100644 agents/nemo-studio-copilot-spec/skills/secrets/SKILL.md create mode 100644 agents/nemo-studio-copilot-spec/skills/workspace/SKILL.md delete mode 100644 agents/nemo-studio-copilot/Dockerfile create mode 100644 agents/nemo-studio-copilot/Dockerfile.fabric-local create mode 100644 agents/nemo-studio-copilot/agent.yaml create mode 100644 agents/nemo-studio-copilot/src/nemo_studio_copilot/mcp_server.py delete mode 100644 agents/nemo-studio-copilot/src/nemo_studio_copilot/nemo-studio-copilot-eval.yml delete mode 100644 agents/nemo-studio-copilot/src/nemo_studio_copilot/nemo-studio-copilot.remote.yml delete mode 100644 agents/nemo-studio-copilot/src/nemo_studio_copilot/nemo-studio-copilot.yml delete mode 100644 agents/nemo-studio-copilot/src/nemo_studio_copilot/wrapper.py diff --git a/agents/nemo-studio-copilot-spec/AGENT-SPEC.md b/agents/nemo-studio-copilot-spec/AGENT-SPEC.md index 7cc07f1538..3326b5ff80 100644 --- a/agents/nemo-studio-copilot-spec/AGENT-SPEC.md +++ b/agents/nemo-studio-copilot-spec/AGENT-SPEC.md @@ -8,6 +8,9 @@ author: Danielle Ali and Codex > This file is the durable contract for the local NeMo Platform assistant. > Keep it aligned with the implementation under `agents/nemo-studio-copilot/`. +> The adjacent `agent.yaml` and `skills/` directory are the clean, size-bounded +> fileset used for Platform registration; the source project retains its +> packaging config and MCP executable. ## Role @@ -15,7 +18,7 @@ Help NeMo Platform developers inspect and operate their current workspace throug ## Purpose -This agent provides a conversational backend for NeMo Studio so developers can confirm that a packaged NVIDIA NeMo Agent Toolkit (NAT) agent can be built, deployed, and used to interact with NeMo Platform. It should make routine discovery and operational tasks faster without requiring users to translate their intent into CLI commands or raw API requests. +This agent provides a conversational backend for NeMo Studio so developers can build, deploy, and use a Fabric-hosted agent to interact with NeMo Platform. It should make routine discovery and operational tasks faster without requiring users to translate their intent into CLI commands or raw API requests. The mission is grounded in the current deployment proof of concept and its implementation: answer simple read-only questions immediately, carry out explicit multi-step platform tasks through supported SDK operations, verify consequential results, and request missing context rather than guessing or entering an unbounded reasoning loop. @@ -30,9 +33,8 @@ The mission is grounded in the current deployment proof of concept and its imple | Tool or source | Purpose | Credentials/scopes | Side effects | Freshness / expected failures | |---|---|---|---|---| -| NeMo Platform Python SDK (`nemo_api`) | Access supported platform resources and actions through dot-separated SDK resource paths | Uses the deployment's platform base URL and active workspace; upstream secrets remain managed by NeMo Platform | Read and write operations depend on the requested SDK action | Workspace-scoped calls fail when no workspace is supplied; unavailable plugin resources or invalid SDK paths must be reported without repeated retries | +| NeMo Platform Python SDK (`nemo_api`) over packaged MCP | Access supported platform resources and actions through dot-separated SDK resource paths | Uses the deployment's platform base URL and active workspace; mutations require a valid Studio session and approval | Read and write operations depend on the requested SDK action | Workspace-scoped calls fail when no workspace is supplied; unavailable plugin resources or invalid SDK paths must be reported without repeated retries | | Platform status helper (`check_status`) | Check evaluation, customization, audit, and Data Designer jobs | Same platform access as the SDK client | Read-only | A service may expose different status subresources; report when no supported status method exists | -| Deterministic list fast paths | Return names for common read-only list requests without an LLM round trip | Same platform access as the SDK client | Read-only | Must use the active workspace and return a direct clarification or error if required context is absent; must not fall through to the full agent loop after a recognized request fails | | Packaged agent skills | Supply task-specific playbooks when spec-compliant skills are included in the image | No separate credentials | Depends on the selected playbook and SDK action | The agent must log which skills are loaded; an empty or malformed skills directory means no playbooks are available | ## Model @@ -42,21 +44,21 @@ The mission is grounded in the current deployment proof of concept and its imple ## Framework -- Resolution: langgraph-nat -- Notes: LangGraph Deep Agent wrapped as a custom NAT workflow +- Resolution: fabric-deepagents +- Notes: NeMo Fabric using the preinstalled `nvidia.fabric.langchain.deepagents` adapter ## Harness -- Description: A LangGraph Deep Agent with SDK tools, optional packaged skills, deterministic read-only fast paths, and a custom NAT wrapper compatible with Studio and evaluation request shapes -- Agent loop: Deep Agents orchestrates model and tool turns; recognized list requests bypass the model; complex runs must have explicit iteration, retry, and wall-clock limits -- Tool dispatch: The model calls typed LangChain tools that resolve NeMo Platform SDK resources and return serialized results or concise errors -- Context management: Studio conversation messages are normalized into LangChain messages; the model receives a concise system prompt and packaged skills when available -- State management: LangGraph state holds the conversation and scratch data; packaged skill files and temporary files use routed filesystem backends +- Description: A Fabric-hosted Deep Agent with packaged skills and a stdio MCP server for NeMo SDK and Studio UI operations +- Agent loop: Fabric's Deep Agents adapter orchestrates model and MCP tool turns +- Tool dispatch: Harness-native MCP tools resolve NeMo Platform SDK resources and return serialized results or concise errors +- Context management: Fabric receives OpenAI-compatible chat messages and supplies the system prompt and packaged skills to Deep Agents +- State management: Fabric owns runtime session state, workspace files, and artifacts - Guardrails: API-only operation; no CLI or arbitrary subprocess route; ambiguous workspace or destructive target requires clarification - Observability: Structured application logs for fast-path selection, tool failures, model requests, retries, health probes, and final workflow errors; agent-specific telemetry exporters are disabled -- Verification: Consequential multi-step requests should read back final state when the SDK supports it; unit tests and the NAT evaluation configuration validate core behavior -- Runtime: Custom NAT workflow served in a Docker deployment and consumed by local NeMo Studio -- Notes: A recognized fast-path failure must terminate with a useful clarification or error instead of falling through to the model-driven graph +- Verification: Consequential multi-step requests should read back final state when the SDK supports it; unit tests validate config translation, MCP exposure, and mutation approval +- Runtime: NeMo Fabric server using the Deep Agents adapter, consumed through OpenAI-compatible chat completions +- Notes: Fabric does not preserve the former NAT-only deterministic fast path or `/generate/full` evaluation contract ## Behavior @@ -64,7 +66,6 @@ The mission is grounded in the current deployment proof of concept and its imple - Use the active request workspace automatically when it is available. - When a required workspace, resource name, target, or other consequential parameter is missing or ambiguous, ask one focused clarification question and stop that run. - Do not interpret missing context as permission to choose a destructive target. -- For recognized deterministic requests, return the SDK result or a direct actionable failure; never use the full agent as an error-recovery fallback. - Use only NeMo Platform SDK tools. Never invoke the CLI, shell, or subprocesses. - Attempt reasonable equivalent SDK operations when a method name differs, but bound retries and do not loop over equivalent failures. - Report upstream model, SDK, and service failures honestly. Never claim that a mutation or deployment succeeded without verification. @@ -72,7 +73,7 @@ The mission is grounded in the current deployment proof of concept and its imple ## Success Criteria -- Common read-only list requests, including workspaces, models, providers, filesets, datasets, benchmarks, and metrics, complete through one deterministic SDK operation and normally return within a few seconds. +- Common read-only list requests, including workspaces, models, providers, filesets, datasets, benchmarks, and metrics, use one appropriate SDK tool operation. - Missing workspace or target context produces a clear clarification question rather than an exception, guessed value, or model-driven recovery loop. - Explicit multi-step operations use the correct workspace, execute only requested side effects, verify the final state when possible, and return a concise summary. - Complex requests have bounded model calls, retries, and execution time. A failed upstream decode must surface promptly instead of keeping Studio busy through repeated ten-minute retries. @@ -87,7 +88,7 @@ Unit coverage lives in `agents/nemo-studio-copilot/tests/test_nemo_studio_copilo uv run --frozen pytest agents/nemo-studio-copilot/tests/test_nemo_studio_copilot.py -v ``` -The NAT evaluation workflow is `agents/nemo-studio-copilot/src/nemo_studio_copilot/nemo-studio-copilot-eval.yml`, with inputs in `nemo-studio-copilot-eval-data.json`. It currently evaluates workspace creation, workspace listing, and model/provider listing with a tunable RAG judge weighted for coverage (0.5), correctness (0.3), and relevance (0.2). No formal aggregate pass threshold is defined. +The prior NAT evaluation YAML was removed because it depended on NAT's custom workflow and `/generate/full` endpoint. The existing cases remain in `nemo-studio-copilot-eval-data.json`; restoring automated evaluation requires a Fabric-compatible driver for `/v1/chat/completions`. Manual Studio validation is documented in `agents/nemo-studio-copilot/tests/smoke_test.md`. Current coverage gaps include fileset listing, missing-workspace clarification, fast-path failure containment, destructive-action ambiguity, iteration limits, retry limits, cancellation, and end-to-end latency thresholds. diff --git a/agents/nemo-studio-copilot-spec/agent.yaml b/agents/nemo-studio-copilot-spec/agent.yaml new file mode 100644 index 0000000000..493625dc86 --- /dev/null +++ b/agents/nemo-studio-copilot-spec/agent.yaml @@ -0,0 +1,71 @@ +config_format: nemo-agents-spec-v1 +name: nemo-studio-copilot +description: NeMo Studio assistant for inspecting and operating the active NeMo Platform workspace. + +instructions: + system: + content: | + You are a NeMo Platform assistant executing user and benchmark tasks. + + Complete every numbered requirement before returning. Do not return a plan + for a human to run. Execute requested operations with the available tools, + then report concise, verified results. Never invoke a CLI or subprocess. + + Use the deployment's active workspace unless the user explicitly names + another one. The Studio session id appears in the user context. Pass it to + every Studio UI tool and to nemo_api for every mutating action. Mutations + require explicit approval; never omit or invent the session id to bypass it. + + Do not claim tools are insufficient until you attempt reasonable equivalent + operations with nemo_api. Use check_status for platform jobs. Do not repeat + the same failing call or guess a destructive target. Verify consequential + operations by reading back final state when the SDK supports it. + + Ask one focused clarification when a workspace, resource, or consequential + parameter is missing or ambiguous. For finite choices use ask_user_question. + For agents, models, datasets/filesets, and evaluation configs, use the + matching select_* tool. + +default_harness: deepagents +harnesses: + deepagents: + kind: deepagents + settings: + deepagents: {} + +models: + default: + provider: nvidia + model: nvidia-nemotron-3-super-120b-a12b + +skills: + paths: + - skills/auditor + - skills/benchmark-execution + - skills/entities + - skills/evaluator + - skills/files + - skills/guardrails + - skills/inference + - skills/secrets + - skills/workspace + +mcp: + servers: + nemo_studio: + transport: stdio + url: nemo-studio-copilot-mcp + exposure: harness_native + +tools: + blocked: [] + +environment: + workspace: ./workspace + artifacts: ./artifacts + +telemetry: + enabled: false + provider: relay + output_dir: ./artifacts/relay + project: nemo-studio-copilot diff --git a/agents/nemo-studio-copilot-spec/skills/auditor/SKILL.md b/agents/nemo-studio-copilot-spec/skills/auditor/SKILL.md new file mode 100644 index 0000000000..83d37091a2 --- /dev/null +++ b/agents/nemo-studio-copilot-spec/skills/auditor/SKILL.md @@ -0,0 +1,17 @@ +--- +name: auditor +description: NeMo Platform auditor playbook for audit target and config CRUD through the platform SDK. Use when the task involves audit targets, audit configs, or probes. +--- +Auditor tasks + +- Use `nemo_api` with `audit.targets` for target CRUD and `audit.configs` + for config CRUD. +- Use the standard SDK actions: `create`, `list`, `retrieve`, `update`, and + `delete`. +- Pass the target or config fields as compact JSON in `params`. +- For config create, prefer minimal valid JSON: + - `plugins`: `{"probe_spec":"dan.AutoDANCached"}` (or requested probe) + - `reporting`: `{}` + - `run`: `{}` + - `system`: `{"lite": true}` +- Follow full lifecycle: create temp resource, verify/list/update/delete, then create final verification resource. diff --git a/agents/nemo-studio-copilot-spec/skills/benchmark-execution/SKILL.md b/agents/nemo-studio-copilot-spec/skills/benchmark-execution/SKILL.md new file mode 100644 index 0000000000..59f648bff0 --- /dev/null +++ b/agents/nemo-studio-copilot-spec/skills/benchmark-execution/SKILL.md @@ -0,0 +1,20 @@ +--- +name: benchmark-execution +description: "Benchmark task execution contract: complete every numbered requirement, execute tool calls directly (never plan-only), and verify final state with a direct retrieve/list before responding. Use for every agentic-use benchmark task." +--- +# Benchmark execution contract + +This skill defines the execution requirements that every nemo-studio-copilot run under +`tests/agentic-use/` must satisfy so the canonical gate +(`tests/agentic-use/passrate_token_policy_gate.py`) can score the run on +verifier pass-rate and token totals. See +[`tests/agentic-use/README.md`](../../../../../../tests/agentic-use/README.md) +for the full Run -> Gate -> Optimize loop these tasks plug into. + +- Treat `instruction.md` as the task contract: finish all numbered requirements. +- Execute tool calls yourself; do not end with a plan-only response. +- Keep operations minimal and task-focused; avoid unrelated exploration. +- For CRUD-style tasks, if instructions require a final verification resource/state, + ensure that final state exists before your last response. +- Before final response, run one direct verification call that checks the required + end state from the instruction (for example: retrieve/list/get status). diff --git a/agents/nemo-studio-copilot-spec/skills/entities/SKILL.md b/agents/nemo-studio-copilot-spec/skills/entities/SKILL.md new file mode 100644 index 0000000000..0e32b7acec --- /dev/null +++ b/agents/nemo-studio-copilot-spec/skills/entities/SKILL.md @@ -0,0 +1,10 @@ +--- +name: entities +description: NeMo Platform model and dataset CRUD lifecycle through the platform SDK, with strict field matching on final verification entities. +--- +Entity tasks + +- Use `nemo_api` with the `models` or `datasets` resource as appropriate. +- Use the exact entity type and name from the instruction. +- For model/dataset CRUD, create the temporary entity, verify/list/update/delete it, then create the final verification entity. +- Keep JSON params valid and compact. Final dataset checks often require fields such as `format` and `size` to match exactly. diff --git a/agents/nemo-studio-copilot-spec/skills/evaluator/SKILL.md b/agents/nemo-studio-copilot-spec/skills/evaluator/SKILL.md new file mode 100644 index 0000000000..e9c35758bd --- /dev/null +++ b/agents/nemo-studio-copilot-spec/skills/evaluator/SKILL.md @@ -0,0 +1,18 @@ +--- +name: evaluator +description: NeMo Platform evaluator playbook covering metrics, synchronous metric runs, and asynchronous metric jobs through the platform SDK. +--- +Evaluator tasks + +- Typical flow for simple metric jobs: + 1) Create workspace + 2) Create/upload dataset fileset + 3) Create metric (often `string-check`) + 4) Run synchronous metric evaluation with inline rows + 5) Create async metric job + 6) Get/list job status +- Use `nemo_api` with `evaluation.metrics` for metric operations and + `evaluation.metric_jobs` for asynchronous jobs. +- Use `check_status` when polling a created evaluation job. +- For inline JSON data, keep payload compact and valid JSON. +- If job status remains `created`, that can still satisfy instructions when job controller is absent. diff --git a/agents/nemo-studio-copilot-spec/skills/files/SKILL.md b/agents/nemo-studio-copilot-spec/skills/files/SKILL.md new file mode 100644 index 0000000000..6108b0fe8f --- /dev/null +++ b/agents/nemo-studio-copilot-spec/skills/files/SKILL.md @@ -0,0 +1,34 @@ +--- +name: files +description: platform fileset and file CRUD playbook with the exact `nemo_api(resource='files'|'files.filesets', ...)` sequence used by harbor benchmarks. Use when the task involves filesets, file uploads/downloads, `verify.txt`, `harbor-test-fileset`, or `harbor-final-fileset`. +--- +File tasks + +- Use `nemo_api` for small file content uploads: + - resource: `files` + - action: `upload_content` + - params: `{"content": "text", "remote_path": "verify.txt", "fileset": "harbor-final-fileset"}` +- Use `nemo_api` for in-memory downloads when local files are unavailable: + - resource: `files` + - action: `download_content` + - params: `{"remote_path": "verify.txt", "fileset": "harbor-final-fileset"}` +- Use resource `files.filesets` for fileset create/list/retrieve/delete operations. +- Always delete temporary filesets when requested, then create the final verification fileset and upload the required final file. +- Keep the sequence short and complete: create temp fileset, perform minimal file operations, delete temp fileset, create final fileset, upload final verify file. +- Never end with a plan-only response. Execute tool calls directly. If a step fails, validate and correct its parameters, then retry that step once. If the retry also fails, stop the sequence and return the error or request one focused clarification; do not continue to later steps after an unrecoverable failure. +- Before final answer, verify final state with: + - `nemo_api(resource="files.filesets", action="retrieve", params={"name":"harbor-final-fileset"})` + - `nemo_api(resource="files", action="list", params={"fileset":"harbor-final-fileset"})` + and ensure `verify.txt` appears. + +Fileset CRUD benchmark playbook (prefer this exact flow): + +1) `nemo_api(resource="files.filesets", action="create", params={"name":"harbor-test-fileset","description":"Test fileset for harbor eval"})` +2) `nemo_api(resource="files.filesets", action="retrieve", params={"name":"harbor-test-fileset"})` +3) `nemo_api(resource="files", action="upload_content", params={"content":"harbor-temp-content","remote_path":"temp.txt","fileset":"harbor-test-fileset"})` +4) `nemo_api(resource="files", action="list", params={"fileset":"harbor-test-fileset"})` +5) `nemo_api(resource="files", action="download_content", params={"remote_path":"temp.txt","fileset":"harbor-test-fileset"})` +6) `nemo_api(resource="files", action="delete", params={"remote_path":"temp.txt","fileset":"harbor-test-fileset"})` +7) `nemo_api(resource="files.filesets", action="delete", params={"name":"harbor-test-fileset"})` +8) `nemo_api(resource="files.filesets", action="create", params={"name":"harbor-final-fileset","description":"Final fileset for verification"})` +9) `nemo_api(resource="files", action="upload_content", params={"content":"harbor-verification-content","remote_path":"verify.txt","fileset":"harbor-final-fileset"})` diff --git a/agents/nemo-studio-copilot-spec/skills/guardrails/SKILL.md b/agents/nemo-studio-copilot-spec/skills/guardrails/SKILL.md new file mode 100644 index 0000000000..65de030071 --- /dev/null +++ b/agents/nemo-studio-copilot-spec/skills/guardrails/SKILL.md @@ -0,0 +1,16 @@ +--- +name: guardrails +description: NeMo guardrails self-check input config plus harmful-message check workflow through the platform SDK. +--- +Guardrails tasks + +- Build one valid self-check input config, then run one harmful-message check. +- Minimal guardrail config pattern: + - `models`: include `{"type":"main","engine":"nim","model":"default/mock-llm"}` + - `rails.input.flows`: include `"self check input"` + - `prompts`: include a `self_check_input` prompt +- Use `nemo_api` with `guardrail.configs` for config CRUD. +- Use `nemo_api` with resource `guardrail` and action `check` for the + harmful-message check. +- Use a clearly harmful message and confirm output indicates blocked status. +- Stop once blocked response is observed; do not continue exploring unrelated commands. diff --git a/agents/nemo-studio-copilot-spec/skills/inference/SKILL.md b/agents/nemo-studio-copilot-spec/skills/inference/SKILL.md new file mode 100644 index 0000000000..bddd699686 --- /dev/null +++ b/agents/nemo-studio-copilot-spec/skills/inference/SKILL.md @@ -0,0 +1,16 @@ +--- +name: inference +description: NeMo Platform inference provider registration lifecycle through the platform SDK (secret -> create temp provider -> verify -> delete -> create final provider). +--- +Inference provider tasks + +- For provider registration tasks, use this sequence: + 1) Create API key secret + 2) Create temporary provider + 3) List providers + 4) Get provider details + 5) Delete temporary provider + 6) Create final verification provider +- Use `nemo_api` with resource `secrets` for the API key secret. +- Use `nemo_api` with resource `inference.providers` for provider CRUD. +- Ensure final provider uses exactly the requested host URL and description. diff --git a/agents/nemo-studio-copilot-spec/skills/secrets/SKILL.md b/agents/nemo-studio-copilot-spec/skills/secrets/SKILL.md new file mode 100644 index 0000000000..69656c1cc0 --- /dev/null +++ b/agents/nemo-studio-copilot-spec/skills/secrets/SKILL.md @@ -0,0 +1,10 @@ +--- +name: secrets +description: NeMo Platform secret CRUD lifecycle through the platform SDK. +--- +Secret tasks + +- Use `nemo_api` with resource `secrets`. +- Use `create`, `retrieve`, `list`, `update`, and `delete` actions as needed, + passing secret data directly in the JSON `params`. +- Always finish the whole lifecycle: create temporary secret, verify/list/update/delete it, then create the final verification secret. diff --git a/agents/nemo-studio-copilot-spec/skills/workspace/SKILL.md b/agents/nemo-studio-copilot-spec/skills/workspace/SKILL.md new file mode 100644 index 0000000000..fb142e2ce8 --- /dev/null +++ b/agents/nemo-studio-copilot-spec/skills/workspace/SKILL.md @@ -0,0 +1,14 @@ +--- +name: workspace +description: NeMo Platform workspace CRUD playbook through `nemo_api(resource='workspaces')`. Use for workspace creation, listing, retrieval, or deletion. +--- +Workspace tasks + +- Some instructions mention MCP workspace tools (`create_workspace`, `list_workspaces`). + In AUT mode, complete the same intent with `nemo_api`. +- SDK/API operations: + - `nemo_api(resource="workspaces", action="create", params='{"name":"...", "description":"..."}')` + - `nemo_api(resource="workspaces", action="list")` + - `nemo_api(resource="workspaces", action="retrieve", params='{"name":"..."}')` + - `nemo_api(resource="workspaces", action="delete", params='{"name":"..."}')` +- Complete all numbered requirements before stopping. diff --git a/agents/nemo-studio-copilot/.dockerignore b/agents/nemo-studio-copilot/.dockerignore index 221f90de42..9ffcb5cd78 100644 --- a/agents/nemo-studio-copilot/.dockerignore +++ b/agents/nemo-studio-copilot/.dockerignore @@ -17,5 +17,4 @@ build/ .venv/ node_modules/ tests/ -src/nemo_studio_copilot/nemo-studio-copilot-eval.yml src/nemo_studio_copilot/nemo-studio-copilot-eval-data.json diff --git a/agents/nemo-studio-copilot/Dockerfile b/agents/nemo-studio-copilot/Dockerfile deleted file mode 100644 index c725a5b968..0000000000 --- a/agents/nemo-studio-copilot/Dockerfile +++ /dev/null @@ -1,78 +0,0 @@ -# Managed by `nemo agents package` — safe to delete if you take ownership. -ARG BASE_IMAGE_URL=nvcr.io/nvidia/base/ubuntu -ARG BASE_IMAGE_TAG=noble-20260217 -ARG PYTHON_VERSION=3.13 -ARG NAT_VERSION=1.8.0 -FROM ${BASE_IMAGE_URL}:${BASE_IMAGE_TAG} -ARG PYTHON_VERSION -ARG NAT_VERSION - -COPY --from=ghcr.io/astral-sh/uv:0.8.15 /uv /uvx /bin/ - -ENV PYTHONDONTWRITEBYTECODE=1 - -# Keep the uv-managed Python in a world-readable location and use copy -# link-mode so the venv is self-contained (no cross-directory symlinks), -# letting the non-root runtime user exec it without needing /root access. -ENV UV_PYTHON_INSTALL_DIR=/opt/uv/python \ - UV_LINK_MODE=copy - -RUN apt-get update && \ - apt-get install -y --no-install-recommends g++ gcc ca-certificates curl && \ - update-ca-certificates && \ - rm -rf /var/lib/apt/lists/* - -ENV REQUESTS_CA_BUNDLE=/etc/ssl/certs/ca-certificates.crt -ENV SSL_CERT_FILE=/etc/ssl/certs/ca-certificates.crt - -WORKDIR /workspace - -COPY ./ /workspace - -# Project mode. ``pyproject.toml`` is the single source of truth: it must -# declare ``nvidia-nat[...]`` (for the ``nat`` CLI), a concrete ``version`` -# (or a container-resolvable dynamic version), and every runtime dep. -# ``uv sync`` is deliberately not used because it honors -# ``[tool.uv.sources]`` path overrides pointing at sibling workspace -# packages that typically do not exist inside the build context. -RUN --mount=type=cache,id=uv_cache,target=/root/.cache/uv,sharing=locked \ - uv venv --python ${PYTHON_VERSION} /workspace/.venv && \ - . /workspace/.venv/bin/activate && \ - uv pip install . && \ - chmod -R a+rX /opt/uv /workspace/.venv - -LABEL org.opencontainers.image.title="nemo-studio-copilot" \ - org.opencontainers.image.version="0.1.0" \ - org.opencontainers.image.authors="NVIDIA" \ - org.opencontainers.image.created="2026-07-22T20:51:42.179931+00:00" \ - org.opencontainers.image.description="NeMo Copilot — a LangChain Deep Agent that uses the NeMo SDK to perform platform tasks." \ - org.opencontainers.image.revision="" \ - org.opencontainers.image.source="" \ - com.nemo.agent.id="790bd61b98d0" \ - com.nemo.agent.framework="nemo_agent_toolkit" \ - com.nemo.agent.nat-version="1.8.0" \ - com.nemo.agent.contract-version="0.0.0" - -ENV NAT_CONFIG_FILE=/workspace/src/nemo_studio_copilot/nemo-studio-copilot.yml - -# Authenticated Kubernetes deployments inject a loopback auth-proxy sidecar on -# this port. NMP_BASE_URL is supplied by the deployment runtime, so use the -# agent-specific legacy override for SDK calls and allow local runtimes to -# replace it when needed. -ENV NEMO_BASE_URL=https://127.0.0.1:8090 - -ENV PATH="/workspace/.venv/bin:$PATH" - -# Some modern base images (notably Ubuntu 24.04 "noble" and the NVIDIA base -# images derived from it) ship with a default unprivileged user at -# uid=1000/gid=1000. Reclaim 1000 for ``agent`` *by id, not by name* so this -# layer is portable across older base images (where 1000 is free; the guarded -# delete is a no-op) and across future base images that might rename the -# default user. -RUN if getent passwd 1000 >/dev/null; then userdel -rf "$(getent passwd 1000 | cut -d: -f1)" 2>/dev/null || true; fi && \ - if getent group 1000 >/dev/null; then groupdel -f "$(getent group 1000 | cut -d: -f1)" 2>/dev/null || true; fi && \ - groupadd -g 1000 agent && useradd -u 1000 -g agent -m agent && \ - chown -R agent:agent /workspace -USER agent - -ENTRYPOINT ["sh", "-c", "exec nat serve --config_file=$NAT_CONFIG_FILE --host 0.0.0.0"] diff --git a/agents/nemo-studio-copilot/Dockerfile.fabric-local b/agents/nemo-studio-copilot/Dockerfile.fabric-local new file mode 100644 index 0000000000..3591d47f98 --- /dev/null +++ b/agents/nemo-studio-copilot/Dockerfile.fabric-local @@ -0,0 +1,73 @@ +# Managed by `nemo agents package` — safe to delete if you take ownership. +ARG BASE_IMAGE_URL=nvcr.io/nvidia/base/ubuntu +ARG BASE_IMAGE_TAG=noble-20260217 +ARG PYTHON_VERSION=3.13 +FROM ${BASE_IMAGE_URL}:${BASE_IMAGE_TAG} +ARG PYTHON_VERSION + +COPY --from=ghcr.io/astral-sh/uv:0.9.14 /uv /uvx /bin/ + +ENV PYTHONDONTWRITEBYTECODE=1 + +ENV UV_PYTHON_INSTALL_DIR=/opt/uv/python \ + UV_LINK_MODE=copy + +RUN apt-get update && \ + apt-get install -y --no-install-recommends g++ gcc ca-certificates curl && \ + update-ca-certificates && \ + rm -rf /var/lib/apt/lists/* + +# Claude and Codex Relay integration launches this external CLI. Authenticate +# the immutable installer before root execution; it separately verifies the +# pinned release binary before placing it on the global runtime PATH. +RUN curl -fsSL https://raw.githubusercontent.com/NVIDIA/NeMo-Relay/40c5990361afc26ae8b901ff1f49c2b03ddd9ede/install.sh -o /tmp/install-nemo-relay.sh && \ + echo "ba2585a32e568643819992fa66b750004328351fce422b979d8c11cfc8bbfadb /tmp/install-nemo-relay.sh" | sha256sum -c - && \ + NEMO_RELAY_VERSION=0.6.0 sh /tmp/install-nemo-relay.sh --install-dir /usr/local/bin && \ + rm /tmp/install-nemo-relay.sh && \ + nemo-relay --version + +ENV REQUESTS_CA_BUNDLE=/etc/ssl/certs/ca-certificates.crt +ENV SSL_CERT_FILE=/etc/ssl/certs/ca-certificates.crt + +WORKDIR /workspace + +# Preserve the complete agent bundle so paths in agent.yaml continue to resolve +# relative to the packaged config directory. +COPY ./ /workspace + +# Install the release-matched NeMo Agents runtime and the packaged project in +# one resolution so incompatible project constraints fail during image build. +RUN --mount=type=cache,id=uv_cache,target=/root/.cache/uv,sharing=locked \ + uv venv --python ${PYTHON_VERSION} /workspace/.venv && \ + . /workspace/.venv/bin/activate && \ + uv pip install "/workspace/wheelhouse/nemo_platform-0.3.0.post122.dev0+ca85d0feb-py3-none-any.whl[nemo-agents-plugin]" . && \ + chmod -R a+rX /opt/uv /workspace/.venv + + +LABEL org.opencontainers.image.title="nemo-studio-copilot" \ + org.opencontainers.image.version="0.1.0" \ + org.opencontainers.image.authors="Danielle Ali" \ + org.opencontainers.image.created="2026-08-05T19:39:51Z" \ + org.opencontainers.image.description="NeMo Studio Copilot — a Fabric Deep Agents assistant for NeMo Platform tasks." \ + org.opencontainers.image.revision="ca85d0febce9ced44a8d7dfbb2e3391d829697f9" \ + org.opencontainers.image.source="https://github.com/NVIDIA-NeMo/nemo-platform.git" \ + com.nemo.agent.id="c9acc9e1c696" \ + com.nemo.agent.framework="nemo_platform_agent" \ + com.nemo.agent.contract-version="0.3.0.post91.dev0+2eb952f2c" + +ENV AGENT_CONFIG_PATH=/workspace/agent.yaml +ENV PORT=8000 +ENV PATH="/workspace/.venv/bin:$PATH" + +EXPOSE 8000 + + + +RUN if getent passwd 1000 >/dev/null; then userdel -rf "$(getent passwd 1000 | cut -d: -f1)" 2>/dev/null || true; fi && \ + if getent group 1000 >/dev/null; then groupdel -f "$(getent group 1000 | cut -d: -f1)" 2>/dev/null || true; fi && \ + groupadd -g 1000 agent && useradd -u 1000 -g agent -m agent && \ + chown -R agent:agent /workspace +USER agent + +ENV VIRTUAL_ENV=/workspace/.venv +ENTRYPOINT ["sh", "-c", "exec python -m nemo_agents_plugin.fabric.server --agent-config \"$AGENT_CONFIG_PATH\" --host 0.0.0.0 --port \"$PORT\""] diff --git a/agents/nemo-studio-copilot/agent.yaml b/agents/nemo-studio-copilot/agent.yaml new file mode 100644 index 0000000000..e26f6e26c1 --- /dev/null +++ b/agents/nemo-studio-copilot/agent.yaml @@ -0,0 +1,71 @@ +config_format: nemo-agents-spec-v1 +name: nemo-studio-copilot +description: NeMo Studio assistant for inspecting and operating the active NeMo Platform workspace. + +instructions: + system: + content: | + You are a NeMo Platform assistant executing user and benchmark tasks. + + Complete every numbered requirement before returning. Do not return a plan + for a human to run. Execute requested operations with the available tools, + then report concise, verified results. Never invoke a CLI or subprocess. + + Use the deployment's active workspace unless the user explicitly names + another one. The Studio session id appears in the user context. Pass it to + every Studio UI tool and to nemo_api for every mutating action. Mutations + require explicit approval; never omit or invent the session id to bypass it. + + Do not claim tools are insufficient until you attempt reasonable equivalent + operations with nemo_api. Use check_status for platform jobs. Do not repeat + the same failing call or guess a destructive target. Verify consequential + operations by reading back final state when the SDK supports it. + + Ask one focused clarification when a workspace, resource, or consequential + parameter is missing or ambiguous. For finite choices use ask_user_question. + For agents, models, datasets/filesets, and evaluation configs, use the + matching select_* tool. + +default_harness: deepagents +harnesses: + deepagents: + kind: deepagents + settings: + deepagents: {} + +models: + default: + provider: nvidia + model: nvidia-nemotron-3-super-120b-a12b + +skills: + paths: + - src/nemo_studio_copilot/skills/auditor + - src/nemo_studio_copilot/skills/benchmark-execution + - src/nemo_studio_copilot/skills/entities + - src/nemo_studio_copilot/skills/evaluator + - src/nemo_studio_copilot/skills/files + - src/nemo_studio_copilot/skills/guardrails + - src/nemo_studio_copilot/skills/inference + - src/nemo_studio_copilot/skills/secrets + - src/nemo_studio_copilot/skills/workspace + +mcp: + servers: + nemo_studio: + transport: stdio + url: nemo-studio-copilot-mcp + exposure: harness_native + +tools: + blocked: [] + +environment: + workspace: ./workspace + artifacts: ./artifacts + +telemetry: + enabled: false + provider: relay + output_dir: ./artifacts/relay + project: nemo-studio-copilot diff --git a/agents/nemo-studio-copilot/pyproject.toml b/agents/nemo-studio-copilot/pyproject.toml index 8282eec482..2cda0ac8aa 100644 --- a/agents/nemo-studio-copilot/pyproject.toml +++ b/agents/nemo-studio-copilot/pyproject.toml @@ -8,26 +8,16 @@ build-backend = "hatchling.build" [project] name = "nemo-studio-copilot" version = "0.1.0" -description = "NeMo Copilot — a LangChain Deep Agent that uses the NeMo SDK to perform platform tasks." +description = "NeMo Studio Copilot — a Fabric Deep Agents assistant for NeMo Platform tasks." requires-python = ">=3.11,<3.14" dependencies = [ - "nvidia-nat-core>=1.8.0,<1.9", - "nvidia-nat-langchain>=1.8.0,<1.9", "nemo-platform", - "deepagents", - "langchain-openai", - "langchain-core", + "fastmcp>=3.2.0", "httpx", ] -[project.entry-points."nat.components"] -nemo_studio_copilot = "nemo_studio_copilot.register" -# Custom NAT workflow type that wraps the nemo-studio-copilot graph with permissive -# input/output schemas. See src/nemo_studio_copilot/wrapper.py for the full rationale — -# in short, NAT 1.6.0's stock `langgraph_wrapper` doesn't accept the -# `{"input_message": ...}` shape that `nvidia-nat-eval` posts and crashes on -# deep-agent state deltas that don't carry `messages`. -nemo_studio_copilot_wrapper = "nemo_studio_copilot.wrapper" +[project.scripts] +nemo-studio-copilot-mcp = "nemo_studio_copilot.mcp_server:main" [tool.hatch.build.targets.wheel] packages = ["src/nemo_studio_copilot"] diff --git a/agents/nemo-studio-copilot/src/nemo_studio_copilot/mcp_server.py b/agents/nemo-studio-copilot/src/nemo_studio_copilot/mcp_server.py new file mode 100644 index 0000000000..c5a81df6ac --- /dev/null +++ b/agents/nemo-studio-copilot/src/nemo_studio_copilot/mcp_server.py @@ -0,0 +1,44 @@ +# SPDX-FileCopyrightText: Copyright (c) 2026, NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 + +"""Fabric-native MCP boundary for NeMo Studio Copilot tools.""" + +from fastmcp import FastMCP +from nemo_studio_copilot.register import ( + ask_user_question, + check_status, + job_progress, + nemo_api, + select_agent, + select_dataset_file, + select_eval_config, + select_model, + studio_link, +) + +TOOLS = ( + nemo_api, + check_status, + select_agent, + select_model, + select_dataset_file, + select_eval_config, + job_progress, + studio_link, + ask_user_question, +) + + +def create_server() -> FastMCP: + server = FastMCP("NeMo Studio Copilot") + for tool in TOOLS: + server.tool(tool) + return server + + +def main() -> None: + create_server().run(transport="stdio") + + +if __name__ == "__main__": + main() diff --git a/agents/nemo-studio-copilot/src/nemo_studio_copilot/nemo-studio-copilot-eval.yml b/agents/nemo-studio-copilot/src/nemo_studio_copilot/nemo-studio-copilot-eval.yml deleted file mode 100644 index abeea3776b..0000000000 --- a/agents/nemo-studio-copilot/src/nemo_studio_copilot/nemo-studio-copilot-eval.yml +++ /dev/null @@ -1,98 +0,0 @@ -# Eval config for the built-in nemo-studio-copilot. -# -# Uses the custom `nemo_studio_copilot_wrapper` workflow type (defined in -# src/nemo_studio_copilot/wrapper.py) so the same config works whether the agent runs -# inline (no --agent) or against the deployed agent's `/generate/full` endpoint -# (--agent nemo-studio-copilot). The wrapper accepts both the `{"messages": [...]}` -# shape used by chat clients and the `{"input_message": "..."}` shape that -# `nvidia-nat-eval`'s remote workflow client posts to `/generate/full`. -# -# base_url and api_key for both LLMs are auto-injected by EvaluateAgentJob, -# routing through the platform inference gateway. See: -# plugins/nemo-agents/src/nemo_agents_plugin/utils.py::inject_gateway_url -# -# Run inline (in-process, no deployed agent needed): -# nemo agents evaluate run \ -# --eval-config agents/nemo-studio-copilot/src/nemo_studio_copilot/nemo-studio-copilot-eval.yml \ -# --output ./eval-out -# -# Run against the deployed agent (requires `nemo agents deploy nemo-studio-copilot`): -# nemo agents evaluate run \ -# --eval-config agents/nemo-studio-copilot/src/nemo_studio_copilot/nemo-studio-copilot-eval.yml \ -# --agent nemo-studio-copilot \ -# --output ./eval-out - -llms: - agent: - _type: openai - # `base_url` and `api_key` are auto-injected by EvaluateAgentJob unless - # already set, routing this LLM through the platform Inference Gateway. - # See plugins/nemo-agents/src/nemo_agents_plugin/utils.py::inject_gateway_url - model_name: nvidia-nemotron-3-super-120b-a12b - - judge_llm: - _type: openai - model_name: aws-anthropic-bedrock-claude-opus-4-7 - # NOTE: do not set `temperature` for this model — Bedrock claude-opus-4-7 - # returns 400 with "`temperature` is deprecated for this model." for any - # value (including 0.0 / 0.001). - max_tokens: 1024 - - # ─── Bypassing the Inference Gateway ────────────────────────────────────── - # To run the eval against NVIDIA's hosted inference directly (no platform - # Inference Gateway in the loop), set `base_url` and `api_key` explicitly - # on each LLM. Because the auto-injection uses setdefault semantics, fields - # you set here are left alone. Use the *served* model name (slashes) — the - # gateway-mapped entity name (`aws-anthropic-bedrock-claude-opus-4-7`) is - # only meaningful when something resolves it back to the upstream model. - # - # Caveat: the agent's tools (`nemo_api`, `check_status`) still call platform - # APIs via the Python SDK. The current `nemo-studio-copilot-eval-data.json` exercises - # platform resources, including workspace and model/provider operations, so - # bypassing the gateway is not an LLM-only smoke test. A fully self-contained - # bypass run requires a separate pure-LLM dataset that does not invoke - # platform tools. - # - # agent: - # _type: openai - # base_url: https://inference-api.nvidia.com/v1 - # api_key: ${INFERENCE_NVIDIA_API_KEY} # `sk-…` LiteLLM virtual key - # model_name: aws/anthropic/bedrock-claude-opus-4-7 - # - # judge_llm: - # _type: openai - # base_url: https://inference-api.nvidia.com/v1 - # api_key: ${INFERENCE_NVIDIA_API_KEY} - # model_name: aws/anthropic/bedrock-claude-opus-4-7 - # max_tokens: 1024 - -workflow: - _type: nemo_studio_copilot_wrapper - description: NeMo Platform assistant using LangChain Deep Agents - -eval: - general: - max_concurrency: 1 - output_dir: eval/nemo-studio-copilot - dataset: - _type: json - file_path: nemo-studio-copilot-eval-data.json - structure: - question_key: input_message - answer_key: expected_output - evaluators: - accuracy: - _type: tunable_rag_evaluator - llm_name: judge_llm - default_scoring: true - default_score_weights: - coverage: 0.5 - correctness: 0.3 - relevance: 0.2 - judge_llm_prompt: > - You are an evaluator. Score whether the generated answer correctly - addresses the question compared to the expected answer description. - Rules: - - Score is a float between 0.0 and 1.0. - - 1.0 means the answer fully satisfies the expected answer criteria. - - Provide a 1-2 sentence reasoning. diff --git a/agents/nemo-studio-copilot/src/nemo_studio_copilot/nemo-studio-copilot.remote.yml b/agents/nemo-studio-copilot/src/nemo_studio_copilot/nemo-studio-copilot.remote.yml deleted file mode 100644 index 6c49d66fe6..0000000000 --- a/agents/nemo-studio-copilot/src/nemo_studio_copilot/nemo-studio-copilot.remote.yml +++ /dev/null @@ -1,22 +0,0 @@ -# Remote NeMo Platform deployment configuration. -# -# Keep the model workspace-qualified: the agent is deployed in a personal -# workspace while inference is served by the shared, platform-managed route. -# The platform injects a pod-reachable Inference Gateway base URL at deploy -# time; no upstream URL or credential belongs in this file. - -llms: - agent: - _type: openai - api_key: not-used - model_name: default/nvidia-nemotron-3-super-120b-a12b - do_auto_retry: false - num_retries: 1 - retry_on_status_codes: [599] - retry_on_errors: ["__never_retry__"] - max_retries: 0 - request_timeout: 120 - -workflow: - _type: nemo_studio_copilot_wrapper - description: NeMo Platform assistant using LangChain Deep Agents diff --git a/agents/nemo-studio-copilot/src/nemo_studio_copilot/nemo-studio-copilot.yml b/agents/nemo-studio-copilot/src/nemo_studio_copilot/nemo-studio-copilot.yml deleted file mode 100644 index daffb955b1..0000000000 --- a/agents/nemo-studio-copilot/src/nemo_studio_copilot/nemo-studio-copilot.yml +++ /dev/null @@ -1,80 +0,0 @@ -# NeMo Copilot — NAT workflow configuration -# -# A LangChain Deep Agent that uses the NeMo SDK to perform platform tasks. -# Deliberately configured as the "expensive baseline" for the optimization -# pipeline to compress. -# -# Deploy: -# uv pip install -e plugins/nemo-agents -# nemo agents create --name nemo-studio-copilot \ -# --agent-config agents/nemo-studio-copilot/src/nemo_studio_copilot/nemo-studio-copilot.yml -# nemo agents deploy --agent nemo-studio-copilot -# -# Invoke: -# nemo agents invoke --agent nemo-studio-copilot --input "Create a workspace called demo" - -llms: - agent: - _type: openai - # All AUT model traffic routes through the platform Inference Gateway - # (IGW). Both `nemo agents deploy` (production) and the agentic-use - # benchmark runner (tests/agentic-use/nat_runner.py via - # _prepare_aut_config_for_runtime → inject_gateway_url) inject the IGW - # base_url at runtime. Do NOT set `base_url` here — `inject_gateway_url` - # uses setdefault, so an explicit value would silently bypass IGW. - # `api_key: not-used` is a sentinel; IGW retrieves the real upstream - # credential from the platform secrets service. - api_key: not-used - # Model entity name. IGW resolves this to the upstream provider that - # owns it (each entity is owned by exactly one provider, so no provider - # field is needed in this yml). Use entity (dash) form — IGW handles - # the mapping to the served slash form internally. - # - # The dash-form name encodes the upstream catalog. nvidia-build serves - # NIM models as `nvidia/` (single namespace), so its entities - # look like `nvidia-`. nvidia-inference-api proxies LiteLLM, - # which serves the same NIM catalog as `nvidia/nvidia/` and the - # bedrock catalog as `aws/anthropic/`, so its entities look like - # `nvidia-nvidia-` / `aws-anthropic-`. The double prefix - # is therefore a reliable signal that an entity routes through - # nvidia-inference-api. - # - # Examples (each empirically validated end-to-end): - # model_name: nvidia-nvidia-nemotron-3-super-v3 # via nvidia-inference-api - # model_name: aws-anthropic-claude-opus-4-5 # via nvidia-inference-api - # model_name: nvidia-llama-3-3-nemotron-super-49b-v1-5 # via nvidia-build - # - # For the full list of currently-discovered entities, hit - # ${NMP_BASE_URL}/v1/models on the running platform, or run the - # optional "list available models" cell in the playground notebook. - model_name: nvidia-nemotron-3-super-120b-a12b - # One total attempt: a retryable upstream decode timeout must not restart - # another long-running generation and keep Studio busy indefinitely. - do_auto_retry: false - num_retries: 1 - # NAT 1.8 currently patches LangChain methods even when do_auto_retry is - # false. Some layers replace empty lists with their defaults, so use - # impossible sentinels to prevent nested wrappers from matching 429. - retry_on_status_codes: [599] - retry_on_errors: ["__never_retry__"] - # Disable the OpenAI client's independent retry loop. Without this, one - # model call can issue eleven requests before NAT sees the final error. - max_retries: 0 - # Bound the HTTP model call below the Inference Gateway's 600-second - # decode wall-clock timeout so the agent can return a terminal error. - request_timeout: 120 - - # model_name: vm-opus-nemotron-random - # AWS-hosted Claude Opus 4.5 rejects Switchyard's Anthropic translation - # fallback of 128k output tokens. Keep this below the 64k AWS route limit - # while leaving room for prompt/tool tokens on longer benchmark tasks. - # Only necessary for Switchyard virtual models. - # max_tokens: 49152 - -workflow: - # Custom workflow type registered by `nemo_studio_copilot_wrapper`. Wraps the same - # deep-agent graph as `langgraph_wrapper` would, but with input/output schemas - # that survive both the eval client's `{"input_message": ...}` payload and the - # deep-agent's wider state shape. See src/nemo_studio_copilot/wrapper.py. - _type: nemo_studio_copilot_wrapper - description: NeMo Platform assistant using LangChain Deep Agents diff --git a/agents/nemo-studio-copilot/src/nemo_studio_copilot/register.py b/agents/nemo-studio-copilot/src/nemo_studio_copilot/register.py index d54aa3fc92..50e968f2b5 100644 --- a/agents/nemo-studio-copilot/src/nemo_studio_copilot/register.py +++ b/agents/nemo-studio-copilot/src/nemo_studio_copilot/register.py @@ -1,241 +1,46 @@ # SPDX-FileCopyrightText: Copyright (c) 2026, NVIDIA CORPORATION & AFFILIATES. All rights reserved. # SPDX-License-Identifier: Apache-2.0 -import asyncio +"""NeMo Studio Copilot tool implementations exposed through MCP.""" + import json -import logging import os -import re -import types import uuid -from pathlib import Path from typing import Any from urllib.parse import urlencode import httpx -from deepagents import create_deep_agent # ty: ignore[unresolved-import] -from deepagents.backends import ( # ty: ignore[unresolved-import] - CompositeBackend, - FilesystemBackend, - StateBackend, -) -from langchain_core.messages import AIMessage, AIMessageChunk, HumanMessage -from langchain_core.runnables import RunnableConfig -from langchain_core.tools import tool from nemo_platform import NeMoPlatform from pydantic import BaseModel -logger = logging.getLogger(__name__) - -SYSTEM_PROMPT = """You are a NeMo Platform assistant executing benchmark tasks. - -Complete every numbered requirement in the user instruction before returning. -Do not return a plan or instructions for a human to run. Execute the required -operations yourself with available tools, then report concise results. - -Do not claim tools are insufficient until you have attempted reasonable -equivalent operations with `nemo_api`. Use `check_status` for platform jobs -and deployments. Do not attempt to invoke the NeMo CLI or other subprocesses. - -Use the deployment's active workspace unless the user explicitly names another -one. If a required workspace, resource name, target, or consequential parameter -is missing or ambiguous, ask one focused clarification and stop. When the answer -is one of a finite set of choices, ask it with the `ask_user_question` tool -(which renders a native options picker) instead of a free-text question; use a -plain-text question only for genuinely open-ended input. Do not repeat the same -failing tool call or guess a destructive target. - -For choosing an agent, model, dataset/fileset, or evaluation config, always use -the matching `select_*` tool rather than asking in plain text. -""" -SKILLS_DIR = Path(__file__).parent / "skills" DEFAULT_WORKSPACE = "default" -DEFAULT_RECURSION_LIMIT = 24 STUDIO_CALLBACK_PATH = "/studio/api/copilot/mcp/{session_id}" STUDIO_CALLBACK_TIMEOUT_SECONDS = 3600.0 -_READ_ONLY_SDK_ACTIONS = frozenset( - { - "get", - "get_logs", - "get_status", - "list", - "read", - "retrieve", - "search", - } -) - -_DIRECT_LIST_REQUEST = re.compile(r"^\s*(list|show|what|which)\b|\bavailable\b", re.IGNORECASE) -_DIRECT_FILESET_DELETE = re.compile( - r"^\s*(?:(?:can|could|would)\s+you\s+)?(?:please\s+)?" - r"delete\s+(?:the\s+)?(?P[a-z0-9][a-z0-9._-]*)\s+fileset\s*[?.!]?\s*$", - re.IGNORECASE, -) -_FAST_PATH_MUTATION = re.compile( - r"\b(" - r"add|cancel|create|delete|deploy|edit|evaluate|invoke|optimi[sz]e|" - r"remove|run|set|submit|undeploy|update|upload|write" - r")\b", - re.IGNORECASE, -) -_FAST_PATH_ANALYSIS = re.compile(r"\b(analy[sz]e|audit|compare|explain|investigate|why)\b", re.IGNORECASE) -_DIRECT_LIST_RESOURCES = ( - # Match the requested resource before the contextual workspace qualifier. - # Provider prompts commonly include both "model" and "workspace", so the - # most specific resource must come first and workspace must come last. - (re.compile(r"\bproviders?\b", re.IGNORECASE), "inference.providers"), - (re.compile(r"\bfilesets?\b", re.IGNORECASE), "files.filesets"), - (re.compile(r"\bdatasets?\b", re.IGNORECASE), "datasets"), - (re.compile(r"\bbenchmarks?\b", re.IGNORECASE), "evaluation.benchmarks"), - (re.compile(r"\bmetrics?\b", re.IGNORECASE), "evaluation.metrics"), - (re.compile(r"\bmodels?\b", re.IGNORECASE), "models"), - (re.compile(r"\bworkspaces?\b", re.IGNORECASE), "workspaces"), -) -_DIRECT_LIST_CONTEXT_TARGET = re.compile( - r"^\s*(?:list|show|what|which)\b.*?\b(?:" - r"(?P(?:model\s+)?providers?)|" - r"(?Pfilesets?)|" - r"(?Pdatasets?)|" - r"(?Pbenchmarks?)|" - r"(?Pmetrics?)|" - r"(?Pmodels?)|" - r"(?Pworkspaces?)" - r")\b", - re.IGNORECASE, -) -_DIRECT_LIST_CONTEXT_RESOURCES = { - "providers": "inference.providers", - "filesets": "files.filesets", - "datasets": "datasets", - "benchmarks": "evaluation.benchmarks", - "metrics": "evaluation.metrics", - "models": "models", - "workspaces": "workspaces", -} +_READ_ONLY_SDK_ACTIONS = frozenset({"get", "get_logs", "get_status", "list", "read", "retrieve", "search"}) _client: NeMoPlatform | None = None -def _latest_user_text(messages: list[Any]) -> str: - latest_user_text = "" - for message in reversed(messages): - if isinstance(message, HumanMessage): - latest_user_text = message.text - break - return latest_user_text - - -def _direct_list_resource(messages: list[Any]) -> str | None: - """Resolve safe list-by-name requests to a known SDK resource.""" - latest_user_text = _latest_user_text(messages) - if not latest_user_text or not _DIRECT_LIST_REQUEST.search(latest_user_text): - return None - if _FAST_PATH_MUTATION.search(latest_user_text) or _FAST_PATH_ANALYSIS.search(latest_user_text): - return None - context_target = _DIRECT_LIST_CONTEXT_TARGET.search(latest_user_text) - if context_target and context_target.lastgroup: - return _DIRECT_LIST_CONTEXT_RESOURCES[context_target.lastgroup] - for pattern, resource_path in _DIRECT_LIST_RESOURCES: - if pattern.search(latest_user_text): - return resource_path - return None - - -def _direct_fileset_delete_name(messages: list[Any]) -> str | None: - """Resolve an explicit single-fileset deletion request.""" - latest_user_text = _latest_user_text(messages) - if not latest_user_text: - return None - match = _DIRECT_FILESET_DELETE.fullmatch(latest_user_text) - if match is None: - return None - name = match.group("name") - if name.lower() in {"a", "all", "an", "every", "my", "the"}: - return None - return name - - def _active_workspace() -> str: - """Return the workspace injected by the deployment runtime.""" return os.environ.get("NMP_WORKSPACE") or DEFAULT_WORKSPACE -def _direct_list_error(resource_path: str, exc: Exception) -> str: - """Turn a recognized fast-path failure into a terminal user response.""" - resource_name = resource_path.rsplit(".", maxsplit=1)[-1] - if isinstance(exc, ValueError) and "workspace" in str(exc).lower(): - return f"Which workspace should I use to list {resource_name}?" - return f"I couldn't list {resource_name} in workspace '{_active_workspace()}': {type(exc).__name__}: {exc}" - - -def _list_resource_names(resource_path: str) -> str: - """List one SDK resource and return names or a terminal actionable error.""" - try: - resource = _resolve_resource(_get_client(), resource_path) - serialized = _serialize(_call_sdk_method(resource, "list")) - except Exception as exc: - logger.exception("nemo-studio-copilot: direct list fast path failed for resource=%s", resource_path) - return _direct_list_error(resource_path, exc) - - if isinstance(serialized, dict): - serialized = serialized.get("data") - if not isinstance(serialized, list): - return f"I couldn't list {resource_path}: the platform returned an unexpected response." - names = [item.get("name") for item in serialized if isinstance(item, dict) and isinstance(item.get("name"), str)] - if not names: - return f"No {resource_path.rsplit('.', maxsplit=1)[-1]} found in workspace '{_active_workspace()}'." - logger.info("nemo-studio-copilot: direct list fast path resource=%s count=%d", resource_path, len(names)) - return "\n".join(names) - - -def _delete_fileset(name: str) -> str: - """Delete one explicitly named fileset and verify that it is absent.""" - workspace = _active_workspace() - try: - resource = _resolve_resource(_get_client(), "files.filesets") - _call_sdk_method(resource, "delete", {"name": name}) - serialized = _serialize(_call_sdk_method(resource, "list")) - except Exception as exc: - logger.exception("nemo-studio-copilot: direct fileset delete failed for name=%s", name) - if isinstance(exc, ValueError) and "workspace" in str(exc).lower(): - return f"Which workspace should I use to delete fileset '{name}'?" - return f"I couldn't delete fileset '{name}' in workspace '{workspace}': {type(exc).__name__}: {exc}" - - if isinstance(serialized, dict): - serialized = serialized.get("data") - if not isinstance(serialized, list): - return ( - f"The delete request for fileset '{name}' completed, but I couldn't verify " - f"the result in workspace '{workspace}'." - ) - remaining_names = { - item.get("name") for item in serialized if isinstance(item, dict) and isinstance(item.get("name"), str) - } - if name in remaining_names: - return f"I couldn't verify deletion: fileset '{name}' still exists in workspace '{workspace}'." - - logger.info("nemo-studio-copilot: direct fileset delete name=%s workspace=%s", name, workspace) - return f"Deleted fileset '{name}' from workspace '{workspace}'." - - def _get_client() -> NeMoPlatform: global _client if _client is None: base_url = os.environ.get("NEMO_BASE_URL") or os.environ.get("NMP_BASE_URL") - kwargs: dict[str, Any] = {} + kwargs: dict[str, Any] = {"workspace": _active_workspace()} if base_url: kwargs["base_url"] = base_url - kwargs["workspace"] = _active_workspace() _client = NeMoPlatform(**kwargs) return _client def _serialize(obj: Any) -> Any: - """Convert SDK response objects to JSON-serializable form.""" if obj is None or isinstance(obj, (str, int, float, bool)): return obj if isinstance(obj, dict): - return {k: _serialize(v) for k, v in obj.items()} + return {key: _serialize(value) for key, value in obj.items()} if isinstance(obj, list): return [_serialize(item) for item in obj] if isinstance(obj, BaseModel): @@ -244,111 +49,26 @@ def _serialize(obj: Any) -> Any: def _resolve_resource(client: NeMoPlatform, resource_path: str) -> Any: - """Navigate a dot-separated path on the SDK client. - - Example: "inference.providers" -> client.inference.providers - """ current = client for part in resource_path.split("."): + if not part or part.startswith("_"): + raise ValueError(f"Invalid SDK resource path: {resource_path}") current = getattr(current, part) return current def _call_sdk_method(resource: Any, action: str, params: dict[str, Any] | None = None) -> Any: + if not action or action.startswith("_"): + raise ValueError(f"Invalid SDK action: {action}") method = getattr(resource, action) - if params: - return method(**params) - return method() - - -def _trusted_studio_session_id(config: RunnableConfig) -> str | None: - configurable = config.get("configurable") - if not isinstance(configurable, dict): - return None - value = configurable.get("studio_session_id") - if not isinstance(value, str): - return None - try: - return str(uuid.UUID(value)) - except ValueError: - return None + return method(**params) if params else method() -def _request_mutation_approval( - config: RunnableConfig, - *, - tool_name: str, - tool_input: dict[str, Any], -) -> str | None: - session_id = _trusted_studio_session_id(config) - if session_id is None: - return "Denied: mutating operations require a trusted Studio approval context" - approval = _call_studio_tool( - session_id, - "approval_prompt", - { - "tool_name": tool_name, - "input": tool_input, - }, - ) - if approval.get("behavior") != "allow": - return f"Denied by user: {approval.get('message') or 'operation was not approved'}" - return None - - -@tool -def nemo_api( - resource: str, - action: str, - config: RunnableConfig, - params: str | None = None, -) -> str: - """Call any NeMo Platform SDK method. - - Args: - resource: Dot-separated SDK resource path. Examples: - workspaces, inference.providers, inference.deployments, - evaluation.metrics, evaluation.metric_jobs, - evaluation.benchmarks, evaluation.benchmark_jobs, - files, files.filesets, guardrail, secrets, customization, audit, - data_designer, models, datasets, inference.virtual_models - action: Method to call on the resource. Common actions: - create, list, retrieve, get, delete, update, - get_status, get_logs, cancel, evaluate, upload_content - params: JSON string of keyword arguments to pass. Example: - '{"name": "my-workspace", "description": "test"}' - '{"name": "my-secret", "value": "secret-payload"}' - '{"content": "hello", "remote_path": "verify.txt", "fileset": "my-fileset"}' - Useful paths: - - Fileset CRUD: resource="files.filesets" - - In-memory upload: resource="files", action="upload_content" - - Secret CRUD: resource="secrets" - - Returns: - JSON string of the result. - """ - client = _get_client() +def _validated_session_id(session_id: str) -> str: try: - normalized_action = action.strip().lower() - if normalized_action not in _READ_ONLY_SDK_ACTIONS: - denial = _request_mutation_approval( - config, - tool_name="nemo_api", - tool_input={ - "resource": resource, - "action": action, - "params": params, - }, - ) - if denial is not None: - return denial - - resolved = _resolve_resource(client, resource) - parsed_params = json.loads(params) if params else None - result = _call_sdk_method(resolved, action, parsed_params) - return json.dumps(_serialize(result), indent=2, default=str) - except Exception as e: - return f"Error: {type(e).__name__}: {e}" + return str(uuid.UUID(session_id)) + except (TypeError, ValueError) as exc: + raise ValueError("A valid Studio session id is required") from exc def _studio_callback_url( @@ -357,7 +77,6 @@ def _studio_callback_url( workspace: str | None = None, studio_base_url: str | None = None, ) -> str: - """Build the Studio callback URL using the deployment-reachable platform origin.""" base_url = (os.environ.get("NMP_BASE_URL") or os.environ.get("NEMO_BASE_URL") or "").rstrip("/") if not base_url: raise RuntimeError("NMP_BASE_URL is required for Studio UI callbacks") @@ -370,7 +89,7 @@ def _studio_callback_url( }.items() if value } - url = f"{base_url}{STUDIO_CALLBACK_PATH.format(session_id=session_id)}" + url = f"{base_url}{STUDIO_CALLBACK_PATH.format(session_id=_validated_session_id(session_id))}" return f"{url}?{urlencode(query)}" if query else url @@ -378,7 +97,6 @@ def _json_rpc_content(payload: dict[str, Any]) -> dict[str, Any]: error = payload.get("error") if isinstance(error, dict): raise RuntimeError(str(error.get("message") or "Studio callback failed")) - result = payload.get("result") if not isinstance(result, dict): raise RuntimeError("Studio callback response did not include a result") @@ -398,13 +116,11 @@ def _parse_studio_callback_response(response: httpx.Response) -> dict[str, Any]: response.raise_for_status() if response.headers.get("content-type", "").startswith("text/event-stream"): for line in reversed(response.text.splitlines()): - if not line.startswith("data:"): - continue - payload = json.loads(line.removeprefix("data:").strip()) - if isinstance(payload, dict): - return _json_rpc_content(payload) + if line.startswith("data:"): + payload = json.loads(line.removeprefix("data:").strip()) + if isinstance(payload, dict): + return _json_rpc_content(payload) raise RuntimeError("Studio callback stream ended without a tool result") - payload = response.json() if not isinstance(payload, dict): raise RuntimeError("Studio callback returned a non-object response") @@ -419,7 +135,6 @@ def _call_studio_tool( workspace: str | None = None, studio_base_url: str | None = None, ) -> dict[str, Any]: - """Call one of Studio's blocking UI tools from a deployed agent.""" body = { "jsonrpc": "2.0", "id": str(uuid.uuid4()), @@ -428,38 +143,76 @@ def _call_studio_tool( } with httpx.Client(timeout=STUDIO_CALLBACK_TIMEOUT_SECONDS) as client: response = client.post( - _studio_callback_url( - session_id, - workspace=workspace, - studio_base_url=studio_base_url, - ), - json=body, + _studio_callback_url(session_id, workspace=workspace, studio_base_url=studio_base_url), json=body ) return _parse_studio_callback_response(response) -@tool +def _request_mutation_approval( + studio_session_id: str | None, + *, + tool_name: str, + tool_input: dict[str, Any], +) -> str | None: + if studio_session_id is None: + return "Denied: mutating operations require a Studio session id and explicit approval" + try: + session_id = _validated_session_id(studio_session_id) + except ValueError: + return "Denied: mutating operations require a valid Studio session id and explicit approval" + approval = _call_studio_tool(session_id, "approval_prompt", {"tool_name": tool_name, "input": tool_input}) + if approval.get("behavior") != "allow": + return f"Denied by user: {approval.get('message') or 'operation was not approved'}" + return None + + +def nemo_api( + resource: str, + action: str, + params: str | None = None, + studio_session_id: str | None = None, +) -> str: + """Call a NeMo Platform SDK method; writes require explicit Studio approval. + + ``resource`` is a dot-separated SDK path such as ``workspaces``, + ``inference.providers``, ``files.filesets``, ``evaluation.metric_jobs``, + ``guardrail``, ``secrets``, ``models`` or ``datasets``. ``action`` is the + SDK method name. ``params`` is an optional JSON object string containing + keyword arguments. Pass the Studio session id from the user context for + create, update, delete, submit, upload, cancel, or other mutating actions. + """ + try: + normalized_action = action.strip().lower() + if normalized_action not in _READ_ONLY_SDK_ACTIONS: + denial = _request_mutation_approval( + studio_session_id, + tool_name="nemo_api", + tool_input={"resource": resource, "action": action, "params": params}, + ) + if denial is not None: + return denial + parsed_params = json.loads(params) if params else None + if parsed_params is not None and not isinstance(parsed_params, dict): + raise ValueError("params must decode to a JSON object") + result = _call_sdk_method(_resolve_resource(_get_client(), resource), action, parsed_params) + return json.dumps(_serialize(result), indent=2, default=str) + except Exception as exc: + return f"Error: {type(exc).__name__}: {exc}" + + def select_agent( - studio_session_id: str, - title: str = "Select agent", - description: str = "", - default_agent: str | None = None, + studio_session_id: str, title: str = "Select agent", description: str = "", default_agent: str | None = None ) -> str: - """Render Studio's agent selector and return the user's selected agent.""" + """Render Studio's agent selector and return the selected agent.""" return json.dumps( _call_studio_tool( studio_session_id, "select_agent", - { - "title": title, - "description": description, - "default_agent": default_agent, - }, + {"title": title, "description": description, "default_agent": default_agent}, ) ) -@tool def select_model( studio_session_id: str, title: str = "Select model", @@ -472,11 +225,7 @@ def select_model( required_message: str | None = None, submit_label: str | None = None, ) -> str: - """Render Studio's model selector and return the user's selected model. - - The optional labels (display_label/field_label/placeholder/required_message/ - submit_label) customize the picker's copy for the current task. - """ + """Render Studio's model selector and return the selected model.""" return json.dumps( _call_studio_tool( studio_session_id, @@ -496,7 +245,6 @@ def select_model( ) -@tool def select_dataset_file( studio_session_id: str, title: str = "Select dataset", @@ -508,16 +256,11 @@ def select_dataset_file( _call_studio_tool( studio_session_id, "select_dataset_file", - { - "title": title, - "description": description, - "accepted_file_types": accepted_file_types or [], - }, + {"title": title, "description": description, "accepted_file_types": accepted_file_types or []}, ) ) -@tool def select_eval_config( studio_session_id: str, title: str = "Select evaluation config", @@ -542,7 +285,6 @@ def select_eval_config( ) -@tool def job_progress( studio_session_id: str, job_name: str, @@ -552,7 +294,7 @@ def job_progress( description: str | None = None, workspace: str | None = None, ) -> str: - """Render a Studio progress card for a platform job that was just launched.""" + """Render a Studio progress card for a platform job.""" return json.dumps( _call_studio_tool( studio_session_id, @@ -569,7 +311,6 @@ def job_progress( ) -@tool def studio_link( studio_session_id: str, destination: str, @@ -582,321 +323,43 @@ def studio_link( _call_studio_tool( studio_session_id, "studio_link", - { - "destination": destination, - "name": name, - "label": label, - }, + {"destination": destination, "name": name, "label": label}, studio_base_url=studio_base_url, ) ) -@tool def ask_user_question(studio_session_id: str, questions: str) -> str: - """Ask the user one or more multiple-choice questions and return their selections. - - Prefer this over a free-text clarification whenever the choices are finite - (pick an option, yes/no, choose an approach). Studio renders a native options - picker; this blocks until the user answers or dismisses it. Routed through the - same permission channel Claude Code's ``AskUserQuestion`` uses, so the frontend - already renders it. - - Args: - studio_session_id: The current Studio session id (provided in your context). - questions: A JSON array string. Each element is a question object: - { - "question": "", - "header": "", - "multiSelect": false, - "options": [ - {"label": "", "description": ""} - ] - } - Example: - '[{"question": "Which model size?", "header": "Model", - "options": [{"label": "8B", "description": "faster, cheaper"}, - {"label": "70B", "description": "higher quality"}]}]' - - Returns: - JSON string of the user's answers, or a message if they declined. - """ + """Render one or more Studio multiple-choice questions.""" try: parsed = json.loads(questions) except (json.JSONDecodeError, TypeError) as exc: return f"Error: `questions` must be a JSON array string: {exc}" - if not isinstance(parsed, list) or not parsed or not all(isinstance(q, dict) for q in parsed): + if not isinstance(parsed, list) or not parsed or not all(isinstance(question, dict) for question in parsed): return "Error: `questions` must be a non-empty JSON array of question objects." approval = _call_studio_tool( - studio_session_id, - "approval_prompt", - {"tool_name": "AskUserQuestion", "input": {"questions": parsed}}, + studio_session_id, "approval_prompt", {"tool_name": "AskUserQuestion", "input": {"questions": parsed}} ) if approval.get("behavior") != "allow": return f"User declined to answer: {approval.get('message') or 'no selection made'}" return json.dumps(approval.get("updatedInput") or {}) -@tool def check_status(service: str, job_name: str) -> str: - """Check the status of a platform job or deployment. - - Args: - service: The service that owns the job. One of: - evaluation, customization, audit, data_designer - job_name: The name or ID of the job to check. - - Returns: - JSON string with the job status. - """ - client = _get_client() + """Check an evaluation, customization, audit, or Data Designer job.""" try: - svc = getattr(client, service) - status_methods = [ - ("metric_jobs", "get_status"), - ("benchmark_jobs", "get_status"), - ("jobs", "get_status"), - ] + svc = getattr(_get_client(), service) last_error: Exception | None = None - for sub_resource, method_name in status_methods: - if hasattr(svc, sub_resource): - resource = getattr(svc, sub_resource) - if hasattr(resource, method_name): - try: - result = getattr(resource, method_name)(name=job_name) - return json.dumps(_serialize(result), indent=2, default=str) - except Exception as exc: - last_error = exc - if last_error: + for sub_resource in ("metric_jobs", "benchmark_jobs", "jobs"): + resource = getattr(svc, sub_resource, None) + if resource is None or not hasattr(resource, "get_status"): + continue + try: + return json.dumps(_serialize(resource.get_status(name=job_name)), indent=2, default=str) + except Exception as exc: + last_error = exc + if last_error is not None: return f"Error: {type(last_error).__name__}: {last_error}" return f"Error: no status method found for service '{service}'" - except Exception as e: - return f"Error: {type(e).__name__}: {e}" - - -_nemo_tools = [ - nemo_api, - check_status, - select_agent, - select_model, - select_dataset_file, - select_eval_config, - job_progress, - studio_link, - ask_user_question, -] - - -class _StreamSafeGraph: - """Wraps a CompiledStateGraph with NAT-compatible incremental streaming. - - The custom ``nemo_studio_copilot_wrapper`` accepts Deep Agent state deltas that do - not contain ``messages``. Delegate to the graph's real ``astream`` so NAT - can forward chunks as each graph step completes instead of buffering the - entire run behind ``ainvoke``. - """ - - def __init__(self, graph): - self._graph = graph - - def __getattr__(self, name): - return getattr(self._graph, name) - - @staticmethod - def _bounded_config(config: dict[str, Any] | None) -> dict[str, Any]: - return { - "recursion_limit": DEFAULT_RECURSION_LIMIT, - **(config or {}), - } - - @staticmethod - async def _direct_response(input_data: Any, config: RunnableConfig) -> str | None: - if not isinstance(input_data, dict): - return None - messages = input_data.get("messages") - if not isinstance(messages, list): - return None - fileset_name = _direct_fileset_delete_name(messages) - if fileset_name is not None: - denial = await asyncio.to_thread( - _request_mutation_approval, - config, - tool_name="nemo_api", - tool_input={ - "resource": "files.filesets", - "action": "delete", - "params": json.dumps({"name": fileset_name}), - }, - ) - if denial is not None: - return denial - return await asyncio.to_thread(_delete_fileset, fileset_name) - resource_path = _direct_list_resource(messages) - if resource_path is None: - return None - return await asyncio.to_thread(_list_resource_names, resource_path) - - async def ainvoke(self, input_data, config=None, **kwargs): - bounded_config = self._bounded_config(config) - direct_response = await self._direct_response(input_data, bounded_config) - if direct_response is not None: - return {"messages": [AIMessage(content=direct_response)]} - return await self._graph.ainvoke(input_data, config=bounded_config, **kwargs) - - async def astream(self, input_data, config=None, **kwargs): - bounded_config = self._bounded_config(config) - direct_response = await self._direct_response(input_data, bounded_config) - if direct_response is not None: - yield {"messages": [AIMessageChunk(content=direct_response)]} - return - - if "stream_mode" not in kwargs: - async for message, _metadata in self._graph.astream( - input_data, - config=bounded_config, - stream_mode="messages", - **kwargs, - ): - if isinstance(message, AIMessage): - yield {"messages": [message]} - return - - async for chunk in self._graph.astream(input_data, config=bounded_config, **kwargs): - yield chunk - - async def astream_events(self, *args, **kwargs): - async for event in self._graph.astream_events(*args, **kwargs): - yield event - - -def _get_model(): - """Get the LLM from NAT's builder context (YAML llms: section).""" - from nat.builder.framework_enum import LLMFrameworkEnum - from nat.builder.sync_builder import SyncBuilder - - model = SyncBuilder.current().get_llm("agent", wrapper_type=LLMFrameworkEnum.LANGCHAIN) - return _disable_nat_method_retries(model) - - -def _disable_nat_method_retries(model: Any) -> Any: - """Remove NAT's instance-level retry decorators from the model. - - NAT 1.8's FastAPI worker round-trips its validated config through - ``model_dump`` before starting the serving process. RetryMixin fields are - lost in that round trip, so the worker silently restores its five-attempt - defaults even when the source YAML disables retries. ``patch_with_retry`` - uses ``functools.wraps``, which leaves the original method available as - ``__wrapped__``. Restore only wrappers whose code comes from NAT's - ``automatic_retries.py``; leave every other LangChain decorator intact. - """ - disabled: list[str] = [] - for name in dir(model): - if name.startswith("_"): - continue - try: - bound_method = getattr(model, name) - except Exception: - continue - function = getattr(bound_method, "__func__", bound_method) - wrapped = getattr(function, "__wrapped__", None) - code = getattr(function, "__code__", None) - if wrapped is None or code is None or Path(code.co_filename).name != "automatic_retries.py": - continue - object.__setattr__(model, name, types.MethodType(wrapped, model)) - disabled.append(name) - if disabled: - logger.info( - "nemo-studio-copilot: disabled NAT automatic retry wrappers for model methods: %s", ", ".join(disabled) - ) - return model - - -def _discover_skills(skills_dir: Path) -> list[str]: - """Return the list of well-formed skills under ``skills_dir``. - - deepagents' ``SkillsMiddleware`` follows the Agent Skills specification - (https://agentskills.io/specification): each skill must be a subdirectory - containing a ``SKILL.md`` file whose first line is ``---`` (start of YAML - frontmatter). We mirror that shape here so we can log a clear count and - warn loudly when the layout drifts — silently empty skill loads have - already cost us one Stage 4 baseline run. - """ - if not skills_dir.is_dir(): - return [] - discovered: list[str] = [] - for child in sorted(skills_dir.iterdir()): - if not child.is_dir(): - continue - skill_md = child / "SKILL.md" - if not skill_md.is_file(): - continue - try: - with skill_md.open("r", encoding="utf-8") as fp: - first_line = fp.readline().strip() - except OSError: - continue - if first_line == "---": - discovered.append(child.name) - return discovered - - -def _build_backend() -> CompositeBackend: - """Build the agent filesystem backend. - - DeepAgents resolves both skill files and file-tool reads through this - backend. Route packaged skills and `/tmp` to the real filesystem; keep all - other scratchpad paths in graph state. - - Use virtual mode for routed filesystem roots because CompositeBackend strips - the route prefix before delegation: `/tmp/foo` reaches the `/tmp/` backend - as `/foo`, which should resolve under `/tmp`, not the container root. - """ - routes = { - f"{str(SKILLS_DIR).rstrip('/')}/": FilesystemBackend(root_dir=str(SKILLS_DIR), virtual_mode=True), - "/tmp/": FilesystemBackend(root_dir="/tmp", virtual_mode=True), - } - return CompositeBackend(default=StateBackend(), routes=routes) - - -def create_nemo_studio_copilot(config=None): - """Create the NeMo Platform Deep Agent. - - Args: - config: Optional configuration for NAT langgraph_wrapper compatibility. - """ - model = _get_model() - # Only pass ``skills`` when at least one spec-compliant skill is actually - # discovered. Driving ``skills`` purely off directory existence makes - # ``create_deep_agent`` behavior depend on whatever its (downstream) - # parser does with an empty layout, which is something we'd rather not - # rely on when the layout drifts. - discovered = _discover_skills(SKILLS_DIR) - skills = [str(SKILLS_DIR)] if discovered else None - if SKILLS_DIR.is_dir() and not discovered: - logger.warning( - "nemo-studio-copilot: SKILLS_DIR=%s is configured but no spec-compliant " - "skills were discovered (each skill must be a subdirectory with " - "a SKILL.md starting with '---' YAML frontmatter). Agent will " - "run without playbook scaffolding.", - SKILLS_DIR, - ) - elif discovered: - logger.info("nemo-studio-copilot: loaded %d skills: %s", len(discovered), ", ".join(discovered)) - backend = _build_backend() - graph = create_deep_agent( - model=model, - tools=_nemo_tools, - system_prompt=SYSTEM_PROMPT, - skills=skills, - backend=backend, - ) - return _StreamSafeGraph(graph) - - -# Module-level graph factory. The active workflow type is `nemo_studio_copilot_wrapper` -# (see ./wrapper.py), which calls ``create_nemo_studio_copilot`` directly. This alias is -# kept so the graph can also be loaded via ``_type: langgraph_wrapper`` with -# ``graph: .../register.py:agent`` for ad-hoc debugging — note that path will -# hit the NAT 1.6.0 input/output schema bugs that ``nemo_studio_copilot_wrapper`` -# exists to work around. -agent = create_nemo_studio_copilot + except Exception as exc: + return f"Error: {type(exc).__name__}: {exc}" diff --git a/agents/nemo-studio-copilot/src/nemo_studio_copilot/wrapper.py b/agents/nemo-studio-copilot/src/nemo_studio_copilot/wrapper.py deleted file mode 100644 index f8932a2e50..0000000000 --- a/agents/nemo-studio-copilot/src/nemo_studio_copilot/wrapper.py +++ /dev/null @@ -1,562 +0,0 @@ -# SPDX-FileCopyrightText: Copyright (c) 2026, NVIDIA CORPORATION & AFFILIATES. All rights reserved. -# SPDX-License-Identifier: Apache-2.0 -"""NeMo Copilot wrapper — a NAT workflow type for the built-in nemo-studio-copilot. - -Why this exists ---------------- -``nvidia-nat-langchain``'s built-in ``langgraph_wrapper`` is a generic adapter -that wraps any compiled LangGraph as a NAT ``Function``. In NAT 1.6.0 it has -two limitations that block our use case end-to-end: - -1. **Input schema is too narrow.** ``LanggraphWrapperInput`` declares - ``messages: list[...] | PromptValue`` as required. ``nvidia-nat-eval``'s - remote workflow client (used when ``nemo agents evaluate run`` is invoked - with ``--agent ``) POSTs ``{"input_message": "..."}`` to the - ``/generate/full`` route. FastAPI builds a ``TypeAdapter`` from - ``LanggraphWrapperInput`` per route, validates the body against it, and - rejects with **422 Unprocessable Entity** before the agent ever runs. - -2. **Stream output schema is too narrow.** ``LanggraphWrapperOutput.messages`` - is required, and the wrapper validates *every* per-node state delta that - ``LangGraph.astream()`` yields against it. Deep-agent graphs (and any graph - whose state schema is wider than ``{messages: [...]}``) emit deltas like - ``{"skills_metadata": []}`` that don't carry ``messages``; the resulting - ``ValidationError`` aborts the whole stream before the final, - ``messages``-bearing chunk arrives, surfacing as a 500 to the caller. - -We can't fix (1) by monkey-patching ``cls.__pydantic_validator__`` because -FastAPI uses ``TypeAdapter`` per param, which builds its own validator from -the model's frozen core schema and bypasses ``cls.__pydantic_validator__`` -entirely. The only reliable in-process fix is to register a *different* -NAT workflow type with permissive schemas. That's this module. - -How it works ------------- -* ``NemoStudioCopilotWrapperConfig`` registers ``_type: nemo_studio_copilot_wrapper`` with - NAT via ``register_function`` at import time. -* ``NemoStudioCopilotWrapperInput`` accepts **either** ``messages`` (native LangGraph - state shape) **or** ``input_message`` (the eval client's shape) and - normalizes the latter to a single ``user`` message via a - ``model_validator(mode="after")`` that participates in the Pydantic core - schema (so it survives FastAPI's TypeAdapter path). -* ``NemoStudioCopilotWrapperOutput.messages`` defaults to an empty list, so streaming - chunks without ``messages`` validate cleanly. -* ``NemoStudioCopilotWrapperFunction`` is a ``Function`` parametrized over those - schemas. ``_ainvoke`` and ``_astream`` build a ``{"messages": [...]}`` state - for the graph, run it, and coerce each output (or chunk) into - ``NemoStudioCopilotWrapperOutput`` via ``_parse``. -* ``_parse`` extracts ``messages`` from the outer dict, from a single-keyed - node-update wrapper, or — if neither shape applies — yields an empty - placeholder. This is the key behavioral difference from - ``LanggraphWrapperFunction._parse_stream_output``: we never raise on a - state delta that lacks ``messages``. -* The graph itself comes from :func:`nemo_studio_copilot.register.create_nemo_studio_copilot`. - No ``graph:`` field on the config: this wrapper is single-purpose. - -Use it via ``_type: nemo_studio_copilot_wrapper`` in ``nemo-studio-copilot.yml`` / -``nemo-studio-copilot-eval.yml``. Once the upstream NAT bugs are fixed we can drop this -module and revert to ``langgraph_wrapper``. -""" - -from __future__ import annotations - -import logging -from collections.abc import AsyncGenerator -from typing import Any -from uuid import UUID - -from langchain_core.messages import AIMessage, BaseMessage, HumanMessage, MessageLikeRepresentation -from langchain_core.messages.utils import convert_to_messages -from langchain_core.prompt_values import PromptValue -from langchain_core.runnables import RunnableConfig -from nat.builder.builder import Builder -from nat.builder.framework_enum import LLMFrameworkEnum -from nat.builder.function import Function -from nat.cli.register_workflow import register_function -from nat.data_models.api_server import ChatRequest, ChatResponse, ChatResponseChunk, Usage -from nat.data_models.function import FunctionBaseConfig -from nat.plugins.langchain.callback_handler import LangchainProfilerHandler -from nemo_studio_copilot.register import create_nemo_studio_copilot -from pydantic import BaseModel, ConfigDict, Field, computed_field, model_validator - -logger = logging.getLogger(__name__) - -_EMPTY_FINAL_CONTINUATION_PROMPT = """Your previous assistant response was empty, so the task is not complete. - -Continue from the current tool history and finish every remaining requirement in the original user instruction. Do not stop after partial progress. Before returning, verify the requested final state with tools when possible. If every requirement is already complete, respond with a concise completion summary.""" - -_RATE_LIMIT_MESSAGE = ( - "The model service is temporarily rate-limited (HTTP 429), so I couldn't complete that request. " - "Please try again shortly." -) -_TIMEOUT_MESSAGE = "The model service timed out before it could complete that request. Please try again." -_MODEL_ERROR_MESSAGE = "The model service returned an error before I could complete that request. Please try again." - - -class NemoStudioCopilotWrapperConfig(FunctionBaseConfig, name="nemo_studio_copilot_wrapper"): - """Configuration for the nemo-studio-copilot NAT workflow. - - Unlike ``langgraph_wrapper`` there is no ``graph`` field — the graph is - fixed (the built-in nemo-studio-copilot deep-agent), so the YAML is just:: - - workflow: - _type: nemo_studio_copilot_wrapper - description: NeMo Platform assistant using LangChain Deep Agents - """ - - model_config = ConfigDict(extra="forbid") - - description: str = "" - - -class NemoStudioCopilotWrapperInput(BaseModel): - """Input schema accepted by the nemo-studio-copilot ``/generate*`` routes. - - Accepts either: - - * ``{"messages": [...]}`` — native LangGraph state shape, used by chat - clients (``nemo agents invoke``, the Studio UI, direct ``curl``). - * ``{"input_message": "..."}`` — the shape that ``nvidia-nat-eval``'s - ``remote_workflow.py`` POSTs to ``/generate/full`` when running an - eval with ``--endpoint`` (i.e. ``nemo agents evaluate run --agent``). - - The ``model_validator`` below normalizes the second form to the first - so the rest of the pipeline only ever sees ``messages``. Because the - validator is declared on the class, it's part of the Pydantic core - schema and survives FastAPI's per-route ``TypeAdapter`` path — - something a runtime monkey-patch on ``__pydantic_validator__`` would - not achieve. - - ``extra="allow"`` so callers (or NAT itself) can attach unrelated - metadata fields without rejection. - """ - - model_config = ConfigDict(extra="allow") - - messages: list[MessageLikeRepresentation] | PromptValue | None = None - input_message: str | None = None - studio_session_id: UUID | None = None - - @model_validator(mode="after") - def _ensure_messages(self) -> "NemoStudioCopilotWrapperInput": - if self.messages is not None: - return self - if self.input_message is not None: - self.messages = [{"role": "user", "content": self.input_message}] - return self - raise ValueError("Either 'messages' or 'input_message' is required") - - -class NemoStudioCopilotWrapperOutput(BaseModel): - """Output schema for chunks and final results. - - ``messages`` defaults to an empty list (vs. required in - ``LanggraphWrapperOutput``) because LangGraph's per-node state deltas - aren't guaranteed to include it — deep agents emit chunks like - ``{"skills_metadata": []}`` that contain no messages at all, and we - don't want those to crash the stream. Consumers that need the final - answer keep accumulating from the last non-empty chunk; the chunk - that emits the assistant's reply will populate ``messages`` - naturally. - - The ``value`` computed field exposes the last message's text directly - so ``nvidia-nat-eval``'s ``remote_workflow.py`` can consume it. That - client extracts the answer via ``chunk_data.get("value")`` from each - streamed ``data:`` line; without this field every line would parse as - ``{"messages": [...]}`` only and the eval would record an empty answer - (and therefore a 0 score) regardless of the agent's actual reply. - Empty / non-list ``messages`` produce ``value == ""``, which is falsy - on the eval client side so it won't clobber a previously captured - non-empty answer. - - ``extra="allow"`` lets the rest of the deep-agent state ride along - in the response without being silently dropped. - """ - - model_config = ConfigDict(extra="allow") - - messages: list[BaseMessage] = Field(default_factory=list) - - @computed_field - @property - def value(self) -> str: - # We use ``model_construct`` in ``_parse`` to skip validation on - # streaming chunks (so deep-agent state deltas don't error out), - # which means ``self.messages`` may be a ``list[dict]`` (raw graph - # output) or even a non-list (e.g. a langgraph add-messages - # operator wrapper like ``{"value": [...]}``) instead of the - # declared ``list[BaseMessage]``. Handle each shape explicitly. - msgs = self.messages - if not isinstance(msgs, list) or not msgs: - return "" - last = msgs[-1] - if isinstance(last, AIMessage): - return last.text - if isinstance(last, dict): - role = last.get("role") or last.get("type") - if role not in {"assistant", "ai"}: - return "" - content = last.get("content", "") - return content if isinstance(content, str) else "" - return "" - - -class NemoStudioCopilotWrapperFunction( - Function[NemoStudioCopilotWrapperInput, NemoStudioCopilotWrapperOutput, NemoStudioCopilotWrapperOutput] -): - """NAT ``Function`` wrapping the nemo-studio-copilot compiled LangGraph. - - Behavior mirrors ``LanggraphWrapperFunction`` (so the same converters - work for both the chat-completions route and the raw generate routes), - with two differences: - - * **Input normalization** happens via ``NemoStudioCopilotWrapperInput``'s - validator, before this class is reached. - * **Stream chunks** that lack ``messages`` are coerced to an empty - output instead of raising — see :meth:`_parse`. - """ - - def __init__(self, *, config: NemoStudioCopilotWrapperConfig, graph: Any) -> None: - super().__init__( - config=config, - description=config.description, - converters=[ - NemoStudioCopilotWrapperFunction.convert_to_str, - NemoStudioCopilotWrapperFunction.convert_chat_request, - NemoStudioCopilotWrapperFunction.convert_str, - NemoStudioCopilotWrapperFunction.convert_to_chat_response, - NemoStudioCopilotWrapperFunction.convert_to_chat_response_chunk, - ], - ) - self._graph = graph - - @staticmethod - def _build_state(value: NemoStudioCopilotWrapperInput) -> dict[str, Any]: - """Project the validated input down to the LangGraph state shape. - - We deliberately forward only ``messages`` — that's all the deep - agent's state schema accepts as a top-level input. ``input_message`` - is a synthetic field for HTTP callers and would not be a valid - LangGraph state key. - """ - messages = value.messages if value.messages is not None else [] - return {"messages": convert_to_messages(messages)} - - @staticmethod - def _invocation_config(value: NemoStudioCopilotWrapperInput) -> RunnableConfig: - config: RunnableConfig = {} - # Attach NAT's LangChain profiler so tool/LLM calls emit IntermediateSteps, - # which NAT surfaces as ``intermediate_data:`` stream events (and telemetry). - # Construction binds to the request-scoped step manager; guard so calls - # outside a NAT context (e.g. unit tests) degrade gracefully. - try: - config["callbacks"] = [LangchainProfilerHandler()] - except Exception: - logger.debug("LangchainProfilerHandler unavailable; tool-call trace disabled", exc_info=True) - if value.studio_session_id is not None: - config["configurable"] = {"studio_session_id": str(value.studio_session_id)} - return config - - @staticmethod - def _has_tool_calls(message: AIMessage | dict[str, Any]) -> bool: - if isinstance(message, AIMessage): - if message.tool_calls: - return True - tool_calls = message.additional_kwargs.get("tool_calls") - return isinstance(tool_calls, list) and bool(tool_calls) - - tool_calls = message.get("tool_calls") - if isinstance(tool_calls, list) and tool_calls: - return True - additional_kwargs = message.get("additional_kwargs") - if isinstance(additional_kwargs, dict): - nested_tool_calls = additional_kwargs.get("tool_calls") - return isinstance(nested_tool_calls, list) and bool(nested_tool_calls) - return False - - @staticmethod - def _is_empty_assistant_message(message: Any) -> bool: - if isinstance(message, AIMessage): - return not message.text.strip() and not NemoStudioCopilotWrapperFunction._has_tool_calls(message) - if not isinstance(message, dict): - return False - role = message.get("role") or message.get("type") - if role not in {"assistant", "ai"}: - return False - content = message.get("content", "") - if isinstance(content, str): - return not content.strip() and not NemoStudioCopilotWrapperFunction._has_tool_calls(message) - if content in (None, []): - return not NemoStudioCopilotWrapperFunction._has_tool_calls(message) - return False - - @staticmethod - def _drop_trailing_empty_assistant_messages(messages: list[Any]) -> list[Any]: - sanitized = list(messages) - while sanitized and NemoStudioCopilotWrapperFunction._is_empty_assistant_message(sanitized[-1]): - sanitized.pop() - return sanitized - - async def _ainvoke_with_empty_response_retry( - self, - state: dict[str, Any], - config: RunnableConfig | None = None, - ) -> NemoStudioCopilotWrapperOutput: - """Retry once when the graph silently stops with an empty final answer. - - Random-routed weaker models can occasionally emit an empty ``stop`` - response after successful tool calls. LangGraph treats that as a valid - final state, but benchmark tasks still have remaining requirements. A - short continuation prompt preserves the prior tool history and gives the - agent a chance to complete the task instead of ending silently. - """ - output = await self._graph.ainvoke(state, config=config) - parsed = self._parse(output) - if parsed.value.strip(): - return parsed - - logger.warning("nemo_studio_copilot_wrapper received empty final response; prompting agent to continue") - messages = parsed.messages if parsed.messages else state.get("messages", []) - messages = self._drop_trailing_empty_assistant_messages(messages) - if not messages: - messages = list(state.get("messages", [])) - # _parse preserves dict-backed messages as-is, so normalize before - # handing back to the graph — otherwise we can mix BaseMessage and - # raw dicts in the retry state, which some graphs reject. - retry_messages = convert_to_messages([*messages, HumanMessage(content=_EMPTY_FINAL_CONTINUATION_PROMPT)]) - retry_state = { - **state, - "messages": retry_messages, - } - return self._parse(await self._graph.ainvoke(retry_state, config=config)) - - async def _ainvoke(self, value: NemoStudioCopilotWrapperInput) -> NemoStudioCopilotWrapperOutput: - try: - return await self._ainvoke_with_empty_response_retry( - self._build_state(value), - self._invocation_config(value), - ) - except Exception as e: - logger.exception("nemo_studio_copilot_wrapper _ainvoke failed") - return self._error_output(e) - - async def _astream( - self, value: NemoStudioCopilotWrapperInput - ) -> AsyncGenerator[NemoStudioCopilotWrapperOutput, None]: - # Streaming consumers receive graph chunks as they arrive; the - # empty-final-response retry lives only on the non-streaming - # ``_ainvoke`` path because it requires having the full final state. - try: - async for chunk in self._graph.astream( - self._build_state(value), - config=self._invocation_config(value), - ): - yield self._parse(chunk) - except Exception as e: - logger.exception("nemo_studio_copilot_wrapper _astream failed") - # The route has already sent HTTP 200 by the time a streaming - # model call fails. Re-raising closes the stream without a final - # chunk, which Studio renders as a silent agent. - yield self._error_output(e) - - @staticmethod - def _error_output(error: Exception) -> NemoStudioCopilotWrapperOutput: - """Turn model transport failures into a safe, visible assistant reply.""" - error_chain: list[str] = [] - current: BaseException | None = error - seen: set[int] = set() - while current is not None and id(current) not in seen: - seen.add(id(current)) - error_chain.append(f"{type(current).__name__}: {current}".lower()) - current = current.__cause__ or current.__context__ - detail = " ".join(error_chain) - - if "429" in detail or "rate limit" in detail or "too many requests" in detail: - message = _RATE_LIMIT_MESSAGE - elif "timeout" in detail or "timed out" in detail: - message = _TIMEOUT_MESSAGE - else: - message = _MODEL_ERROR_MESSAGE - return NemoStudioCopilotWrapperOutput(messages=[AIMessage(content=message)]) - - @staticmethod - def _parse(output: Any) -> NemoStudioCopilotWrapperOutput: - """Coerce any LangGraph output (final state OR stream chunk) into our output type. - - ``LangGraph.astream()`` yields different shapes depending on stream - mode and node fan-out: - - * ``{"messages": [...]}`` — full-state shape (``stream_mode="values"``) - or a node update that happens to write ``messages``. - * ``{: {}}`` — the default - ``stream_mode="updates"`` shape, where ```` is just - the keys that node modified. May or may not contain ``messages``. - * Anything else (e.g. ``{"skills_metadata": []}`` from a deep-agent - subagent state node) — neither carries messages. - - We extract ``messages`` if it appears at either nesting level, and - otherwise emit an empty ``NemoStudioCopilotWrapperOutput``. ``model_construct`` - bypasses validation since we've already chosen the data ourselves. - """ - if isinstance(output, dict): - if "messages" in output: - payload = {"messages": output["messages"], **{k: v for k, v in output.items() if k != "messages"}} - return NemoStudioCopilotWrapperOutput.model_construct(**payload) - # Scan all node deltas (not just the single-key shape): under - # ``stream_mode="updates"`` LangGraph can fan out and emit a chunk - # like ``{"agent": {"messages": [...]}, "tools": {...}}``. We pick - # the first node delta that carries ``messages``; if multiple do, - # the one that wrote the most recent assistant message will be - # surfaced again in a later chunk anyway. - for inner in output.values(): - if isinstance(inner, dict) and "messages" in inner: - payload = {"messages": inner["messages"], **{k: v for k, v in inner.items() if k != "messages"}} - return NemoStudioCopilotWrapperOutput.model_construct(**payload) - return NemoStudioCopilotWrapperOutput.model_construct(messages=[]) - - # Converters — called by NAT to translate between this Function's - # native types and the chat-completions / string shapes that NAT's - # route handlers expose. Behavior matches ``LanggraphWrapperFunction``; - # the only delta is the output type they return is our wider one. - - @staticmethod - def convert_to_str(value: NemoStudioCopilotWrapperOutput) -> str: - if not value.messages: - return "" - return value.value - - @staticmethod - def _extract_usage(value: NemoStudioCopilotWrapperOutput) -> Usage: - """Best-effort token usage extraction from the final assistant message.""" - candidates: list[dict[str, Any]] = [] - extras = getattr(value, "__pydantic_extra__", None) - if isinstance(extras, dict): - for key in ("usage", "usage_metadata", "response_metadata"): - extra_val = extras.get(key) - if isinstance(extra_val, dict): - candidates.append(extra_val) - - if value.messages: - last = value.messages[-1] - if isinstance(last, BaseMessage): - usage_metadata = getattr(last, "usage_metadata", None) - response_metadata = getattr(last, "response_metadata", None) - if isinstance(usage_metadata, dict): - candidates.append(usage_metadata) - if isinstance(response_metadata, dict): - candidates.append(response_metadata) - elif isinstance(last, dict): - usage_metadata = last.get("usage_metadata") - response_metadata = last.get("response_metadata") - usage = last.get("usage") - if isinstance(usage_metadata, dict): - candidates.append(usage_metadata) - if isinstance(response_metadata, dict): - candidates.append(response_metadata) - if isinstance(usage, dict): - candidates.append(usage) - - prompt_tokens: int | None = None - completion_tokens: int | None = None - total_tokens: int | None = None - - # BFS over candidate dicts so a nested ``token_usage`` can contribute - # without mutating the list we're iterating. - queue: list[dict[str, Any]] = list(candidates) - seen: set[int] = set() - while queue: - candidate = queue.pop(0) - ident = id(candidate) - if ident in seen: - continue - seen.add(ident) - - token_usage = candidate.get("token_usage") - if isinstance(token_usage, dict): - queue.append(token_usage) - - if prompt_tokens is None: - raw_prompt = candidate.get("prompt_tokens", candidate.get("input_tokens")) - if isinstance(raw_prompt, int): - prompt_tokens = raw_prompt - if completion_tokens is None: - raw_completion = candidate.get("completion_tokens", candidate.get("output_tokens")) - if isinstance(raw_completion, int): - completion_tokens = raw_completion - if total_tokens is None: - raw_total = candidate.get("total_tokens") - if isinstance(raw_total, int): - total_tokens = raw_total - - if total_tokens is None and isinstance(prompt_tokens, int) and isinstance(completion_tokens, int): - total_tokens = prompt_tokens + completion_tokens - return Usage( - prompt_tokens=prompt_tokens, - completion_tokens=completion_tokens, - total_tokens=total_tokens, - ) - - @staticmethod - def convert_chat_request(value: ChatRequest) -> NemoStudioCopilotWrapperInput: - """Translate NAT's ``ChatRequest`` (chat-completions route body) to our input. - - NAT's chat-completions handler hands us a ``ChatRequest`` per call; - converting it to ``NemoStudioCopilotWrapperInput.messages`` is what lets the - ``/chat/completions`` and ``/generate/full`` routes share a single - downstream graph invocation. We unpack the role enum and any - ``model_dump``-able content parts so the LangGraph state ends up with - plain JSON-able dicts. - """ - message_dicts: list[MessageLikeRepresentation] = [] - for message in value.messages: - role = message.role.value if hasattr(message.role, "value") else str(message.role) - content: Any = message.content - if isinstance(content, list): - content = [part.model_dump() if hasattr(part, "model_dump") else part for part in content] - message_dicts.append({"role": role, "content": content}) - extras = value.model_extra or {} - return NemoStudioCopilotWrapperInput( - messages=message_dicts, - studio_session_id=extras.get("studio_session_id"), - ) - - @staticmethod - def convert_str(value: str) -> NemoStudioCopilotWrapperInput: - """Translate the ``/generate`` route body (a bare string) to our input. - - NAT's ``/generate`` route accepts a plain string and asks each - registered ``str`` converter to lift it into the workflow's input - type. We populate ``input_message`` (rather than ``messages``) so the - ``model_validator`` on :class:`NemoStudioCopilotWrapperInput` can take the - canonical eval-client path that ``nvidia-nat-eval``'s - ``remote_workflow.py`` uses against ``/generate/full`` — see the - module docstring for the FastAPI/TypeAdapter rationale. - """ - return NemoStudioCopilotWrapperInput(input_message=value) - - @staticmethod - def convert_to_chat_response(value: NemoStudioCopilotWrapperOutput) -> ChatResponse: - # ``value.value`` already handles dict-backed messages from - # ``model_construct`` (see NemoStudioCopilotWrapperOutput.value), so we don't - # have to reach into ``messages[-1].text`` here and risk - # ``AttributeError`` when streaming chunks contain raw graph dicts. - return ChatResponse.from_string(value.value, usage=NemoStudioCopilotWrapperFunction._extract_usage(value)) - - @staticmethod - def convert_to_chat_response_chunk(value: NemoStudioCopilotWrapperOutput) -> ChatResponseChunk: - return ChatResponseChunk.from_string(value.value) - - -@register_function(config_type=NemoStudioCopilotWrapperConfig, framework_wrappers=[LLMFrameworkEnum.LANGCHAIN]) -async def register(config: NemoStudioCopilotWrapperConfig, b: Builder): - """Build the nemo-studio-copilot graph and yield a NAT-callable wrapper. - - The graph factory in ``register.create_nemo_studio_copilot`` constructs the - Deep Agent graph. We hand it directly to ``NemoStudioCopilotWrapperFunction``. - - NAT calls this once per workflow build and yields the function - instance to the runtime; ``_ainvoke`` / ``_astream`` are then driven - per request by the FastAPI route handlers. - """ - graph = create_nemo_studio_copilot() - yield NemoStudioCopilotWrapperFunction(config=config, graph=graph) diff --git a/agents/nemo-studio-copilot/tests/smoke_test.md b/agents/nemo-studio-copilot/tests/smoke_test.md index 58dc2ddb78..7d8d181975 100644 --- a/agents/nemo-studio-copilot/tests/smoke_test.md +++ b/agents/nemo-studio-copilot/tests/smoke_test.md @@ -1,138 +1,69 @@ -# NeMo Copilot Smoke Test +# NeMo Studio Copilot Fabric smoke test -Covers all changes from the follow-up PR: fallback removal, SyncBuilder-only -model resolution, and the `_StreamSafeGraph` Studio streaming fix. +The copilot is a `nemo-agents-spec-v1` Fabric agent using the preinstalled +Deep Agents adapter. Its platform and Studio tools are exposed by the packaged +`nemo-studio-copilot-mcp` stdio server. -## Prerequisites +## Static and unit validation -- `NVIDIA_API_KEY` from https://inference.nvidia.com (Profile > Key Management) -- macOS: use `http://127.0.0.1:8080`, not `localhost` (IPv6 issue) - ---- - -## Part 1: Unit Tests - -Run from the worktree root. All tests should pass. - -```bash -uv run --frozen pytest agents/nemo-studio-copilot/tests/test_nemo_studio_copilot.py -v -``` - -Verify specifically: - -- [ ] `TestGetModel::test_returns_llm_from_builder` — passes (SyncBuilder mock path works) -- [ ] `TestGetModel::test_raises_without_builder_context` — passes (ValueError propagates) -- [ ] `TestAgentGraph::test_create_agent_returns_stream_safe_graph` — passes (returns `_StreamSafeGraph`, not raw `CompiledStateGraph`) -- [ ] `TestAgentGraph::test_stream_safe_graph_delegates_attribute_access` — passes -- [ ] `TestAgentGraph::test_agent_has_expected_tools` — passes with exactly `nemo_api` and `check_status` -- [ ] No test imports `langchain_openai` or references `NVIDIA_API_KEY` - -## Part 2: Fallback and CLI Tool Removal Verification - -Confirm the ChatOpenAI fallback and subprocess-based CLI tool are gone: +From the repository root: ```bash -# Should find zero matches in the runtime source. -rg -n 'ChatOpenAI|NVIDIA_API_KEY|langchain_openai|nemo_cli|subprocess' \ - agents/nemo-studio-copilot/src/nemo_studio_copilot/register.py +PYTHONPATH=agents/nemo-studio-copilot/src \ + uv run --frozen pytest agents/nemo-studio-copilot/tests/test_nemo_studio_copilot.py -v +uv run ruff check agents/nemo-studio-copilot/src agents/nemo-studio-copilot/tests +uv run ruff format --check agents/nemo-studio-copilot/src agents/nemo-studio-copilot/tests ``` -Expected: no output. +The tests validate Fabric translation, the Deep Agents adapter, all packaged +skills, the MCP tool surface, SDK serialization, session validation, and +approval gating for mutations. -## Part 3: Platform Boot + Agent Deploy +## Register, package, and deploy -```bash -export NVIDIA_API_KEY='your-key-here' -export NMP_BASE_URL='http://127.0.0.1:8080' -nemo setup --auto --start-services --install-skills --deploy-agent -``` - -Wait for setup to complete. +These commands change platform state and should be run independently so each +result can be verified: ```bash -# Agent should be deployed and running +export NMP_BASE_URL=http://127.0.0.1:8080 +nemo agents create --name nemo-studio-copilot \ + --agent-config agents/nemo-studio-copilot-spec/agent.yaml +nemo agents package \ + --agent agents/nemo-studio-copilot/agent.yaml \ + --pyproject agents/nemo-studio-copilot/pyproject.toml \ + --tag nemo-studio-copilot:fabric-local +nemo agents deploy --agent nemo-studio-copilot \ + --name nemo-studio-copilot-fabric-deployment \ + --mode docker --image nemo-studio-copilot:fabric-local nemo agents deployments list ``` -- [ ] Deployment exists with status `running` - -## Part 4: Agent Invocation +The generated image must use the Fabric server entrypoint, not `nat serve`. -These test that the agent works end-to-end through NAT's `langgraph_wrapper` -with the real SyncBuilder and API-only platform tools. +## Invocation ```bash -# nemo_api tool — workspace CRUD nemo agents invoke --agent nemo-studio-copilot \ - --input "List all workspaces on the platform" - -# nemo_api tool — model and provider discovery -nemo agents invoke --agent nemo-studio-copilot \ - --input "List the available models and inference providers using the platform API." - -# Multi-step with nemo_api — create + verify + --input "List all workspaces on the platform" nemo agents invoke --agent nemo-studio-copilot \ - --input "Create a workspace called 'smoke-test' with description 'PR follow-up smoke test', then list workspaces to confirm it exists" + --input "List the available models and inference providers using the platform API." ``` -- [ ] All three return coherent responses (no `RuntimeError` about missing builder context) -- [ ] The workspace `smoke-test` actually exists: `nemo workspaces list` - -## Part 5: Studio Streaming (the main fix) +For mutation approval, invoke through Studio and ask the copilot to create a +workspace. Verify that Studio renders an approval prompt before the SDK call, +and that declining leaves platform state unchanged. -This validates that `_StreamSafeGraph` makes agent chat work in the Studio UI. +## Studio streaming -1. Open Studio in your browser: +Open `http://127.0.0.1:8080/studio`, select the copilot deployment, and send +`List all workspaces`. Verify incremental, nonduplicated text and a terminal +success or error. Then exercise a selector and an approved mutation to verify +the callback MCP tools. - ``` - http://127.0.0.1:8080/studio - ``` +## Evaluation status -2. Navigate to **Agents** in the left sidebar. - -3. Click the **nemo-studio-copilot** row to open the agent panel. - -4. Switch to the **Chat Playground** tab. - -5. Select the running deployment from the deployment dropdown (if not auto-selected). - -6. Send a simple message: - - ``` - List all workspaces - ``` - -7. Verify: - - - [ ] The chat shows a loading/thinking indicator (stream starts) - - [ ] A response appears with workspace data (not empty, not an error) - - [ ] The response text is **not garbled or duplicated** (this was the pre-fix bug — NAT's chunk validation failure or full-text concatenation produced gibberish) - - [ ] No JavaScript console errors related to `choices`, `delta`, or stream parsing - -8. Send a multi-step message to exercise tool calls: - - ``` - Create a secret called 'studio-test-key' with value 'sk-test-456' in the default workspace, then list all secrets to confirm it was created - ``` - -9. Verify: - - - [ ] Response eventually appears (may take 15-30s for multi-tool agent turns) - - [ ] Response mentions the created secret and lists secrets - - [ ] No stream errors or broken UI state - -### What "broken" looks like (for reference) - -Without the `_StreamSafeGraph` fix, you would see one of: -- **Empty response** — NAT's `_parse_stream_output` throws on a chunk missing `messages`, the stream dies, Studio gets no `choices[0]` and renders nothing -- **Duplicated/garbled text** — each LangGraph state snapshot contains the full message list; NAT converts `messages[-1].text` to a `ChatResponseChunk`; Studio's reducer appends `delta.content` to the running string, so the same text appears 2-5x - -## Part 6: Cleanup - -```bash -nemo agents undeploy --agent nemo-studio-copilot -nemo agents delete nemo-studio-copilot -nemo workspaces delete smoke-test 2>/dev/null -nemo secrets delete studio-test-key 2>/dev/null -# Ctrl-C the nemo services run process -``` +The former YAML used NAT's evaluation workflow and `/generate/full` contract, +so it was intentionally removed. Fabric serves OpenAI-compatible +`/v1/chat/completions`; a Fabric-compatible evaluation driver is required +before restoring the three existing cases in +`src/nemo_studio_copilot/nemo-studio-copilot-eval-data.json`. diff --git a/agents/nemo-studio-copilot/tests/test_nemo_studio_copilot.py b/agents/nemo-studio-copilot/tests/test_nemo_studio_copilot.py index 6d91ed3840..15b8f8e30c 100644 --- a/agents/nemo-studio-copilot/tests/test_nemo_studio_copilot.py +++ b/agents/nemo-studio-copilot/tests/test_nemo_studio_copilot.py @@ -1,1033 +1,141 @@ # SPDX-FileCopyrightText: Copyright (c) 2026, NVIDIA CORPORATION & AFFILIATES. All rights reserved. # SPDX-License-Identifier: Apache-2.0 +import asyncio import json from pathlib import Path -from unittest.mock import MagicMock, patch +from types import SimpleNamespace -import httpx import pytest -import yaml -from langchain_core.messages import AIMessage, AIMessageChunk, HumanMessage, ToolMessage -from nat.data_models.api_server import ChatRequest -from nemo_studio_copilot.register import ( - DEFAULT_RECURSION_LIMIT, - SKILLS_DIR, - _active_workspace, - _delete_fileset, - _direct_fileset_delete_name, - _direct_list_resource, - _disable_nat_method_retries, - _get_client, - _get_model, - _list_resource_names, - _parse_studio_callback_response, - _resolve_resource, - _serialize, - _StreamSafeGraph, - _studio_callback_url, - ask_user_question, - check_status, - create_nemo_studio_copilot, - nemo_api, -) -from nemo_studio_copilot.wrapper import ( - NemoStudioCopilotWrapperConfig, - NemoStudioCopilotWrapperFunction, - NemoStudioCopilotWrapperOutput, -) -from pydantic import BaseModel +from nemo_agents_plugin.agent_config import load_agent_config +from nemo_agents_plugin.fabric.translator import translate_agent_config +from nemo_studio_copilot import register +from nemo_studio_copilot.mcp_server import create_server -# The underlying functions wrapped by langchain's @tool decorator. -# ty doesn't resolve StructuredTool's .invoke() or .func attributes -# through the @tool decorator, so we call the functions directly. -_nemo_api = nemo_api.func # ty: ignore[unresolved-attribute] -_check_status = check_status.func # ty: ignore[unresolved-attribute] -_ask_user_question = ask_user_question.func # ty: ignore[unresolved-attribute] +AGENT_ROOT = Path(__file__).parents[1] +SPEC_ROOT = AGENT_ROOT.parent / "nemo-studio-copilot-spec" -AGENT_CONFIG = Path(__file__).parents[1] / "src" / "nemo_studio_copilot" / "nemo-studio-copilot.yml" -TRUSTED_SESSION_ID = "00000000-0000-4000-8000-000000000001" -TRUSTED_CONFIG = {"configurable": {"studio_session_id": TRUSTED_SESSION_ID}} +def test_agent_config_translates_to_fabric_deepagents() -> None: + config = load_agent_config(AGENT_ROOT / "agent.yaml") + translated = translate_agent_config(config) -class TestAgentConfig: - def test_uses_requested_model_without_telemetry(self): - config = yaml.safe_load(AGENT_CONFIG.read_text(encoding="utf-8")) + assert config.default_harness == "deepagents" + assert config.models["default"].model == "nvidia-nemotron-3-super-120b-a12b" + assert translated.harness.adapter_id == "nvidia.fabric.langchain.deepagents" + assert translated.models["default"].provider == "nvidia" - assert config["llms"]["agent"]["model_name"] == "nvidia-nemotron-3-super-120b-a12b" - assert config["llms"]["agent"]["do_auto_retry"] is False - assert config["llms"]["agent"]["num_retries"] == 1 - assert config["llms"]["agent"]["retry_on_status_codes"] == [599] - assert config["llms"]["agent"]["retry_on_errors"] == ["__never_retry__"] - assert config["llms"]["agent"]["max_retries"] == 0 - assert config["llms"]["agent"]["request_timeout"] == 120 - assert "general" not in config +def test_canonical_registration_config_translates_to_same_runtime() -> None: + source = translate_agent_config(load_agent_config(AGENT_ROOT / "agent.yaml")) + registered = translate_agent_config(load_agent_config(SPEC_ROOT / "agent.yaml")) -class FakeWorkspace(BaseModel): - id: str = "ws-001" - name: str = "test-workspace" - description: str = "A test workspace" + assert registered.harness == source.harness + assert registered.models == source.models + assert registered.instructions == source.instructions + assert registered.mcp == source.mcp -class FakeProvider(BaseModel): - name: str = "nvidia-build" - host_url: str = "https://integrate.api.nvidia.com" +def test_every_configured_skill_is_packaged() -> None: + config = load_agent_config(AGENT_ROOT / "agent.yaml") + assert config.skills is not None + assert len(config.skills.paths) == 9 + for skill_path in config.skills.paths: + skill_file = AGENT_ROOT / skill_path / "SKILL.md" + assert skill_file.is_file(), skill_file + assert skill_file.read_text(encoding="utf-8").startswith("---\n") -class FakeJobStatus(BaseModel): - name: str = "job-123" - status: str = "running" + registered = load_agent_config(SPEC_ROOT / "agent.yaml") + assert registered.skills is not None + for skill_path in registered.skills.paths: + assert (SPEC_ROOT / skill_path / "SKILL.md").is_file() -@pytest.fixture -def mock_client(): - """NeMoPlatform mock with realistic resource structure.""" - client = MagicMock() +def test_mcp_server_exposes_expected_tools() -> None: + tools = asyncio.run(create_server().list_tools()) - client.workspaces.create.return_value = FakeWorkspace() - client.workspaces.list.return_value = [FakeWorkspace(), FakeWorkspace(name="other")] - client.workspaces.retrieve.return_value = FakeWorkspace() - client.workspaces.delete.return_value = None + assert {tool.name for tool in tools} == { + "nemo_api", + "check_status", + "select_agent", + "select_model", + "select_dataset_file", + "select_eval_config", + "job_progress", + "studio_link", + "ask_user_question", + } - client.inference.providers.list.return_value = [FakeProvider()] - client.inference.providers.create.return_value = FakeProvider() - client.evaluation.metric_jobs.get_status.return_value = FakeJobStatus() - client.evaluation.metric_jobs.get_logs.return_value = "log line 1\nlog line 2" +def test_read_only_nemo_api_calls_sdk_without_approval(monkeypatch: pytest.MonkeyPatch) -> None: + resource = SimpleNamespace(list=lambda: [SimpleNamespace(name="default")]) + monkeypatch.setattr(register, "_client", SimpleNamespace(workspaces=resource)) - return client + response = json.loads(register.nemo_api("workspaces", "list")) + assert response == ["namespace(name='default')"] -# --------------------------------------------------------------------------- -# _serialize -# --------------------------------------------------------------------------- +def test_mutating_nemo_api_requires_studio_session(monkeypatch: pytest.MonkeyPatch) -> None: + called = False -class TestSerialize: - def test_pydantic_model(self): - result = _serialize(FakeWorkspace()) - assert isinstance(result, dict) - assert result["name"] == "test-workspace" - assert result["id"] == "ws-001" + def create(**_kwargs: object) -> object: + nonlocal called + called = True + return {} - def test_list_of_models(self): - result = _serialize([FakeWorkspace(), FakeProvider()]) - assert isinstance(result, list) - assert len(result) == 2 - assert result[0]["name"] == "test-workspace" - assert result[1]["name"] == "nvidia-build" + monkeypatch.setattr(register, "_client", SimpleNamespace(workspaces=SimpleNamespace(create=create))) - def test_plain_dict_passthrough(self): - d = {"key": "value", "nested": {"a": 1}} - assert _serialize(d) == d + response = register.nemo_api("workspaces", "create", '{"name": "demo"}') - @pytest.mark.parametrize("value", ["hello", 42, 3.14, True, None]) - def test_primitives_passthrough(self, value): - assert _serialize(value) is value or _serialize(value) == value + assert response.startswith("Denied:") + assert called is False - def test_unknown_object_str_fallback(self): - class Opaque: - def __str__(self): - return "opaque-repr" - assert _serialize(Opaque()) == "opaque-repr" +def test_mutating_nemo_api_uses_studio_approval(monkeypatch: pytest.MonkeyPatch) -> None: + session_id = "90a877d5-19f6-49a8-bf09-d0020ae0833a" + approvals: list[tuple[str, str, dict[str, object]]] = [] + def approve(session: str, tool_name: str, arguments: dict[str, object], **_kwargs: object) -> dict[str, str]: + approvals.append((session, tool_name, arguments)) + return {"behavior": "allow"} -# --------------------------------------------------------------------------- -# _resolve_resource -# --------------------------------------------------------------------------- + resource = SimpleNamespace(create=lambda **kwargs: kwargs) + monkeypatch.setattr(register, "_client", SimpleNamespace(workspaces=resource)) + monkeypatch.setattr(register, "_call_studio_tool", approve) + response = json.loads(register.nemo_api("workspaces", "create", '{"name": "demo"}', studio_session_id=session_id)) -class TestResolveResource: - @pytest.mark.parametrize( - "path,expected_attr", - [ - ("workspaces", "workspaces"), - ("inference.providers", "inference.providers"), - ("evaluation.metric_jobs", "evaluation.metric_jobs"), - ], - ) - def test_resolve_paths(self, mock_client, path, expected_attr): - result = _resolve_resource(mock_client, path) - expected = mock_client - for part in expected_attr.split("."): - expected = getattr(expected, part) - assert result is expected + assert response == {"name": "demo"} + assert approvals[0][0:2] == (session_id, "approval_prompt") - def test_invalid_path_raises(self): - client = MagicMock(spec=["workspaces", "inference", "evaluation"]) - with pytest.raises(AttributeError): - _resolve_resource(client, "nonexistent") +def test_nemo_api_rejects_non_object_params(monkeypatch: pytest.MonkeyPatch) -> None: + monkeypatch.setattr(register, "_client", SimpleNamespace(workspaces=SimpleNamespace(list=lambda: []))) -# --------------------------------------------------------------------------- -# nemo_api tool -# --------------------------------------------------------------------------- + response = register.nemo_api("workspaces", "list", '["not", "an", "object"]') + assert response == "Error: ValueError: params must decode to a JSON object" -class TestNemoApiTool: - def test_sdk_uses_deployment_platform_base_url(self, monkeypatch): - monkeypatch.setenv("NMP_BASE_URL", "http://host.docker.internal:8080") - monkeypatch.setenv("NMP_WORKSPACE", "developer-workspace") - monkeypatch.delenv("NMP_AGENT_NAME", raising=False) - monkeypatch.delenv("NEMO_BASE_URL", raising=False) - with ( - patch("nemo_studio_copilot.register._client", None), - patch("nemo_studio_copilot.register.NeMoPlatform") as platform_client, - ): - _get_client() +def test_studio_callback_url_validates_session(monkeypatch: pytest.MonkeyPatch) -> None: + monkeypatch.setenv("NMP_BASE_URL", "http://platform:8080") - platform_client.assert_called_once_with( - base_url="http://host.docker.internal:8080", - workspace="developer-workspace", - ) + with pytest.raises(ValueError, match="valid Studio session"): + register._studio_callback_url("../../bad") - def test_sdk_prefers_agent_base_url_override(self, monkeypatch): - monkeypatch.setenv("NMP_BASE_URL", "http://platform-gateway:8080") - monkeypatch.setenv("NEMO_BASE_URL", "http://127.0.0.1:8090") - monkeypatch.delenv("NMP_WORKSPACE", raising=False) - with ( - patch("nemo_studio_copilot.register._client", None), - patch("nemo_studio_copilot.register.NeMoPlatform") as platform_client, - ): - _get_client() +def test_studio_callback_url_uses_workspace(monkeypatch: pytest.MonkeyPatch) -> None: + monkeypatch.setenv("NMP_BASE_URL", "http://platform:8080") + session_id = "90a877d5-19f6-49a8-bf09-d0020ae0833a" - platform_client.assert_called_once_with( - base_url="http://127.0.0.1:8090", - workspace="default", - ) + url = register._studio_callback_url(session_id, workspace="demo") - def test_sdk_defaults_to_default_workspace(self, monkeypatch): - monkeypatch.delenv("NMP_WORKSPACE", raising=False) + assert url == f"http://platform:8080/studio/api/copilot/mcp/{session_id}?workspace=demo" - with ( - patch("nemo_studio_copilot.register._client", None), - patch("nemo_studio_copilot.register.NeMoPlatform") as platform_client, - ): - _get_client() - assert _active_workspace() == "default" - assert platform_client.call_args.kwargs["workspace"] == "default" +def test_ask_user_question_rejects_invalid_payload() -> None: + response = register.ask_user_question("90a877d5-19f6-49a8-bf09-d0020ae0833a", "{}") - def test_workspace_create(self, mock_client): - with ( - patch("nemo_studio_copilot.register._get_client", return_value=mock_client), - patch( - "nemo_studio_copilot.register._call_studio_tool", - return_value={"behavior": "allow"}, - ), - ): - result = _nemo_api( - resource="workspaces", - action="create", - config=TRUSTED_CONFIG, - params='{"name": "new-ws"}', - ) - mock_client.workspaces.create.assert_called_once_with(name="new-ws") - assert "test-workspace" in str(result) - - def test_workspace_list(self, mock_client): - with patch("nemo_studio_copilot.register._get_client", return_value=mock_client): - result = _nemo_api( - resource="workspaces", - action="list", - config={}, - ) - mock_client.workspaces.list.assert_called_once() - assert isinstance(result, str) - - def test_nested_resource(self, mock_client): - with patch("nemo_studio_copilot.register._get_client", return_value=mock_client): - _nemo_api( - resource="inference.providers", - action="list", - config={}, - ) - mock_client.inference.providers.list.assert_called_once() - - def test_studio_mutation_requires_approval(self, mock_client): - with ( - patch("nemo_studio_copilot.register._get_client", return_value=mock_client), - patch( - "nemo_studio_copilot.register._call_studio_tool", - return_value={"behavior": "deny", "message": "not now"}, - ) as studio_tool, - ): - result = _nemo_api( - resource="workspaces", - action="create", - config=TRUSTED_CONFIG, - params='{"name": "blocked"}', - ) - - assert result == "Denied by user: not now" - mock_client.workspaces.create.assert_not_called() - studio_tool.assert_called_once_with( - TRUSTED_SESSION_ID, - "approval_prompt", - { - "tool_name": "nemo_api", - "input": { - "resource": "workspaces", - "action": "create", - "params": '{"name": "blocked"}', - }, - }, - ) - - def test_mutation_without_trusted_session_is_denied(self, mock_client): - with patch("nemo_studio_copilot.register._get_client", return_value=mock_client): - result = _nemo_api( - resource="workspaces", - action="create", - config={}, - params='{"name": "blocked"}', - ) - - assert result == "Denied: mutating operations require a trusted Studio approval context" - mock_client.workspaces.create.assert_not_called() - - def test_model_tool_schema_does_not_expose_approval_context(self): - assert "studio_session_id" not in nemo_api.args_schema.model_fields - assert "config" not in nemo_api.args_schema.model_fields - - def test_studio_callback_uses_deployment_reachable_base_url(self, monkeypatch): - monkeypatch.setenv("NMP_BASE_URL", "http://host.docker.internal:8080/") - monkeypatch.setenv("NMP_WORKSPACE", "developer-workspace") - - assert _studio_callback_url( - "session-id", - studio_base_url="https://studio.example/studio", - ) == ( - "http://host.docker.internal:8080/studio/api/copilot/mcp/session-id" - "?workspace=developer-workspace&studio_base_url=https%3A%2F%2Fstudio.example%2Fstudio" - ) - - def test_studio_callback_parses_blocking_sse_result(self): - response = httpx.Response( - 200, - headers={"content-type": "text/event-stream"}, - text=( - ": keepalive\n\n" - 'event: message\ndata: {"jsonrpc":"2.0","id":"1","result":{"content":' - '[{"type":"text","text":"{\\"status\\": \\"submitted\\", \\"agent\\": \\"demo\\"}"}]}}\n\n' - ), - request=httpx.Request("POST", "http://studio.test/callback"), - ) - - assert _parse_studio_callback_response(response) == { - "status": "submitted", - "agent": "demo", - } - - -# --------------------------------------------------------------------------- -# check_status tool -# --------------------------------------------------------------------------- - - -class TestCheckStatusTool: - def test_evaluation_job_status(self, mock_client): - with patch("nemo_studio_copilot.register._get_client", return_value=mock_client): - result = _check_status( - service="evaluation", - job_name="job-123", - ) - assert "running" in result.lower() or "job-123" in result - - def test_falls_through_to_next_method(self, mock_client): - """If the first status method raises, the next one should be tried.""" - mock_client.evaluation.metric_jobs.get_status.side_effect = Exception("not found") - mock_client.evaluation.benchmark_jobs.get_status.return_value = FakeJobStatus( - name="job-456", status="completed" - ) - with patch("nemo_studio_copilot.register._get_client", return_value=mock_client): - result = _check_status(service="evaluation", job_name="job-456") - assert "completed" in result.lower() - - -# --------------------------------------------------------------------------- -# Agent graph creation and model selection -# --------------------------------------------------------------------------- - - -@pytest.fixture -def mock_llm(): - """Provide a mock LLM via NAT's SyncBuilder context.""" - llm = MagicMock() - builder = MagicMock() - builder.get_llm.return_value = llm - with patch("nat.builder.sync_builder.SyncBuilder") as mock_sync: - mock_sync.current.return_value = builder - yield llm - - -class TestGetModel: - def test_returns_llm_from_builder(self, mock_llm): - model = _get_model() - assert model is mock_llm - - def test_raises_without_builder_context(self): - with patch("nat.builder.sync_builder.SyncBuilder") as mock_sync: - mock_sync.current.side_effect = ValueError("no builder context") - with pytest.raises(ValueError, match="no builder context"): - _get_model() - - @pytest.mark.asyncio - async def test_disables_nat_automatic_retry_wrapper(self): - from nat.utils.exception_handlers.automatic_retries import patch_with_retry - - class FailingModel: - def __init__(self): - self.calls = 0 - - async def ainvoke(self, messages): - return await self.agenerate(messages) - - async def agenerate(self, messages): - self.calls += 1 - raise RuntimeError("429 Too Many Requests") - - model = patch_with_retry( - FailingModel(), - retries=5, - retry_codes=[429], - ) - - _disable_nat_method_retries(model) - with pytest.raises(RuntimeError, match="429"): - await model.ainvoke([]) - - assert model.calls == 1 - - -class TestAgentGraph: - @pytest.fixture - def mock_graph(self, mock_llm): - """Mock create_deep_agent to return a fake CompiledStateGraph.""" - fake_graph = MagicMock() - fake_graph.nodes = {"tools": MagicMock(bound=MagicMock(tools_by_name={"nemo_api": 1, "check_status": 1}))} - with patch("nemo_studio_copilot.register.create_deep_agent", return_value=fake_graph): - yield fake_graph - - def test_create_agent_returns_stream_safe_graph(self, mock_graph): - from nemo_studio_copilot.register import _StreamSafeGraph - - graph = create_nemo_studio_copilot() - assert isinstance(graph, _StreamSafeGraph) - - def test_stream_safe_graph_delegates_attribute_access(self, mock_graph): - graph = create_nemo_studio_copilot() - _ = graph.nodes - assert mock_graph.nodes is not None - - @pytest.mark.asyncio - async def test_stream_safe_graph_forwards_incremental_chunks(self): - from nemo_studio_copilot.register import _StreamSafeGraph - - class StreamingGraph: - def __init__(self): - self.calls = [] - - async def astream(self, input_data, config=None, **kwargs): - self.calls.append((input_data, config, kwargs)) - yield {"skills_metadata": []} - yield {"agent": {"messages": [AIMessage(content="done")]}} - - inner = StreamingGraph() - graph = _StreamSafeGraph(inner) - - chunks = [ - chunk - async for chunk in graph.astream( - {"messages": [HumanMessage(content="perform a complex benchmark task")]}, - config={"recursion_limit": 4}, - stream_mode="updates", - ) - ] - - assert chunks == [ - {"skills_metadata": []}, - {"agent": {"messages": [AIMessage(content="done")]}}, - ] - assert inner.calls[0][1] == {"recursion_limit": 4} - assert inner.calls[0][2] == {"stream_mode": "updates"} - - @pytest.mark.asyncio - async def test_stream_safe_graph_defaults_to_assistant_message_chunks(self): - from nemo_studio_copilot.register import _StreamSafeGraph - - class MessageStreamingGraph: - def __init__(self): - self.calls = [] - - async def astream(self, input_data, config=None, **kwargs): - self.calls.append((input_data, config, kwargs)) - yield AIMessageChunk(content="danielle"), {"langgraph_node": "model"} - yield ( - ToolMessage(content='{"data": "private tool result"}', tool_call_id="call-1"), - {"langgraph_node": "tools"}, - ) - yield AIMessageChunk(content="ali"), {"langgraph_node": "model"} - - inner = MessageStreamingGraph() - graph = _StreamSafeGraph(inner) - - chunks = [ - chunk - async for chunk in graph.astream({"messages": [HumanMessage(content="perform a complex benchmark task")]}) - ] - - assert chunks == [ - {"messages": [AIMessageChunk(content="danielle")]}, - {"messages": [AIMessageChunk(content="ali")]}, - ] - assert inner.calls[0][1] == {"recursion_limit": DEFAULT_RECURSION_LIMIT} - assert inner.calls[0][2] == {"stream_mode": "messages"} - - @pytest.mark.asyncio - async def test_stream_safe_graph_bounds_non_streaming_invocations(self): - class InvokeGraph: - def __init__(self): - self.calls = [] - - async def ainvoke(self, input_data, config=None, **kwargs): - self.calls.append((input_data, config, kwargs)) - return {"messages": [AIMessage(content="done")]} - - inner = InvokeGraph() - graph = _StreamSafeGraph(inner) - - result = await graph.ainvoke({"messages": [HumanMessage(content="perform a complex task")]}) - - assert result == {"messages": [AIMessage(content="done")]} - assert inner.calls[0][1] == {"recursion_limit": DEFAULT_RECURSION_LIMIT} - - def test_agent_has_expected_tools(self, mock_graph): - create_nemo_studio_copilot() - - from nemo_studio_copilot.register import create_deep_agent - - tools = create_deep_agent.call_args.kwargs["tools"] - tool_names = {agent_tool.name for agent_tool in tools} - assert tool_names == { - "nemo_api", - "check_status", - "select_agent", - "select_model", - "select_dataset_file", - "select_eval_config", - "job_progress", - "studio_link", - "ask_user_question", - } - - def test_skills_dir_exists(self): - assert SKILLS_DIR.name == "skills" - - def test_create_agent_passes_backend_visible_skills(self, mock_graph): - from deepagents.middleware.skills import _list_skills_with_errors # ty: ignore[unresolved-import] - - graph = create_nemo_studio_copilot() - assert graph is not None - - from nemo_studio_copilot.register import create_deep_agent - - kwargs = create_deep_agent.call_args.kwargs - assert kwargs["skills"] == [str(SKILLS_DIR)] - - skills, error = _list_skills_with_errors(kwargs["backend"], str(SKILLS_DIR)) - assert error is None - assert len(skills) > 0 - - -class TestAskUserQuestion: - _QUESTIONS = '[{"question": "Which size?", "header": "Model", "options": [{"label": "8B"}, {"label": "70B"}]}]' - - def test_routes_through_approval_prompt_and_returns_answers(self): - with patch( - "nemo_studio_copilot.register._call_studio_tool", - return_value={"behavior": "allow", "updatedInput": {"Model": "70B"}}, - ) as studio_tool: - result = _ask_user_question( - studio_session_id=TRUSTED_SESSION_ID, - questions=self._QUESTIONS, - ) - - assert json.loads(result) == {"Model": "70B"} - studio_tool.assert_called_once_with( - TRUSTED_SESSION_ID, - "approval_prompt", - { - "tool_name": "AskUserQuestion", - "input": { - "questions": [ - { - "question": "Which size?", - "header": "Model", - "options": [{"label": "8B"}, {"label": "70B"}], - } - ] - }, - }, - ) - - def test_declined_returns_message(self): - with patch( - "nemo_studio_copilot.register._call_studio_tool", - return_value={"behavior": "deny", "message": "dismissed"}, - ): - result = _ask_user_question(studio_session_id=TRUSTED_SESSION_ID, questions=self._QUESTIONS) - assert result == "User declined to answer: dismissed" - - def test_invalid_json_is_reported_not_raised(self): - with patch("nemo_studio_copilot.register._call_studio_tool") as studio_tool: - result = _ask_user_question(studio_session_id=TRUSTED_SESSION_ID, questions="not json") - assert result.startswith("Error: `questions` must be a JSON array string") - studio_tool.assert_not_called() - - @pytest.mark.parametrize( - "questions", - [ - '{"question": "one?"}', # object, not a list - '"just a string"', # scalar - "5", # scalar - "[]", # empty array - "[1, 2]", # list of non-objects - '["a", {"question": "ok"}]', # mixed / invalid element - ], - ) - def test_non_question_array_is_rejected_without_calling_studio(self, questions): - with patch("nemo_studio_copilot.register._call_studio_tool") as studio_tool: - result = _ask_user_question(studio_session_id=TRUSTED_SESSION_ID, questions=questions) - assert result == "Error: `questions` must be a non-empty JSON array of question objects." - studio_tool.assert_not_called() - - def test_tool_schema_hides_approval_context(self): - # The picker takes only session id + questions; no config/approval leakage. - assert set(ask_user_question.args_schema.model_fields) == {"studio_session_id", "questions"} - - -class TestDirectListFastPath: - @pytest.mark.parametrize( - ("prompt", "resource_path"), - [ - ("List the available workspaces. Return only their names.", "workspaces"), - ("What models are available?", "models"), - ("List the available models in workspace default.", "models"), - ("List the model providers in workspace default.", "inference.providers"), - ("List models for provider X.", "models"), - ("List workspaces containing models.", "workspaces"), - ("Show filesets", "files.filesets"), - ], - ) - def test_safe_list_requests_resolve_to_sdk_resources(self, prompt, resource_path): - assert _direct_list_resource([HumanMessage(content=prompt)]) == resource_path - - @pytest.mark.parametrize( - "prompt", - [ - "Create a workspace", - "List agents and deploy one", - "Explain why this deployment is slow", - "Audit the available skills", - "Check the deployment status", - "Hello", - ], - ) - def test_unsupported_or_complex_requests_fall_back_to_agent(self, prompt): - assert _direct_list_resource([HumanMessage(content=prompt)]) is None - - def test_list_resource_names_returns_only_names(self): - resource = MagicMock() - resource.list.return_value = [FakeWorkspace(name="danielleali"), FakeWorkspace(name="default")] - - with ( - patch("nemo_studio_copilot.register._get_client", return_value=MagicMock()), - patch("nemo_studio_copilot.register._resolve_resource", return_value=resource), - ): - result = _list_resource_names("workspaces") - - assert result == "danielleali\ndefault" - - def test_list_resource_names_asks_for_workspace_instead_of_falling_back(self): - resource = MagicMock() - resource.list.side_effect = ValueError("Missing workspace argument") - - with ( - patch("nemo_studio_copilot.register._get_client", return_value=MagicMock()), - patch("nemo_studio_copilot.register._resolve_resource", return_value=resource), - ): - result = _list_resource_names("files.filesets") - - assert result == "Which workspace should I use to list filesets?" - - @pytest.mark.asyncio - async def test_stream_graph_bypasses_model_for_direct_list(self): - inner = MagicMock() - graph = _StreamSafeGraph(inner) - - with patch("nemo_studio_copilot.register._list_resource_names", return_value="danielleali\nsystem\ndefault"): - chunks = [ - chunk - async for chunk in graph.astream( - {"messages": [HumanMessage(content="List available workspaces. Return only their names.")]} - ) - ] - - assert chunks == [{"messages": [AIMessageChunk(content="danielleali\nsystem\ndefault")]}] - inner.astream.assert_not_called() - - @pytest.mark.asyncio - async def test_stream_graph_does_not_fall_back_after_direct_list_failure(self): - inner = MagicMock() - graph = _StreamSafeGraph(inner) - - with patch( - "nemo_studio_copilot.register._list_resource_names", - return_value="Which workspace should I use to list filesets?", - ): - chunks = [ - chunk - async for chunk in graph.astream({"messages": [HumanMessage(content="List all my current filesets")]}) - ] - - assert chunks == [{"messages": [AIMessageChunk(content="Which workspace should I use to list filesets?")]}] - inner.astream.assert_not_called() - - -class TestDirectFilesetDeleteFastPath: - @pytest.mark.parametrize( - ("prompt", "expected_name"), - [ - ("Delete phishing_dataset fileset", "phishing_dataset"), - ("Can you delete the phishing_dataset fileset?", "phishing_dataset"), - ("Please delete my-files.v2 fileset.", "my-files.v2"), - ], - ) - def test_explicit_single_fileset_deletes_are_recognized(self, prompt, expected_name): - assert _direct_fileset_delete_name([HumanMessage(content=prompt)]) == expected_name - - @pytest.mark.parametrize( - "prompt", - [ - "Delete the fileset", - "Delete phishing_dataset", - "Delete every fileset", - "Can you delete phishing_dataset and another fileset?", - ], - ) - def test_ambiguous_or_broad_deletes_are_not_recognized(self, prompt): - assert _direct_fileset_delete_name([HumanMessage(content=prompt)]) is None - - def test_delete_fileset_executes_once_and_verifies_absence(self): - resource = MagicMock() - resource.list.return_value = [FakeWorkspace(name="other-fileset")] - - with ( - patch("nemo_studio_copilot.register._get_client", return_value=MagicMock()), - patch("nemo_studio_copilot.register._resolve_resource", return_value=resource), - ): - result = _delete_fileset("phishing_dataset") - - resource.delete.assert_called_once_with(name="phishing_dataset") - resource.list.assert_called_once_with() - assert result == "Deleted fileset 'phishing_dataset' from workspace 'default'." - - def test_delete_fileset_reports_failure_without_model_fallback(self): - resource = MagicMock() - resource.delete.side_effect = RuntimeError("service unavailable") - - with ( - patch("nemo_studio_copilot.register._get_client", return_value=MagicMock()), - patch("nemo_studio_copilot.register._resolve_resource", return_value=resource), - ): - result = _delete_fileset("phishing_dataset") - - assert "I couldn't delete fileset 'phishing_dataset'" in result - assert "service unavailable" in result - - def test_delete_fileset_without_studio_session_retains_direct_behavior(self): - resource = MagicMock() - resource.list.return_value = [] - - with ( - patch("nemo_studio_copilot.register._get_client", return_value=MagicMock()), - patch("nemo_studio_copilot.register._resolve_resource", return_value=resource), - ): - result = _delete_fileset("phishing_dataset") - - assert result == "Deleted fileset 'phishing_dataset' from workspace 'default'." - resource.delete.assert_called_once_with(name="phishing_dataset") - - @pytest.mark.asyncio - async def test_stream_graph_requires_studio_approval_before_direct_fileset_delete(self): - inner = MagicMock() - graph = _StreamSafeGraph(inner) - - with ( - patch( - "nemo_studio_copilot.register._delete_fileset", - return_value="Deleted fileset 'phishing_dataset' from workspace 'default'.", - ) as delete_fileset, - patch( - "nemo_studio_copilot.register._call_studio_tool", - return_value={"behavior": "allow"}, - ) as studio_tool, - ): - chunks = [ - chunk - async for chunk in graph.astream( - {"messages": [HumanMessage(content="Can you delete the phishing_dataset fileset?")]}, - config=TRUSTED_CONFIG, - ) - ] - - assert chunks == [ - {"messages": [AIMessageChunk(content="Deleted fileset 'phishing_dataset' from workspace 'default'.")]} - ] - studio_tool.assert_called_once_with( - TRUSTED_SESSION_ID, - "approval_prompt", - { - "tool_name": "nemo_api", - "input": { - "resource": "files.filesets", - "action": "delete", - "params": '{"name": "phishing_dataset"}', - }, - }, - ) - delete_fileset.assert_called_once_with("phishing_dataset") - inner.astream.assert_not_called() - - @pytest.mark.asyncio - async def test_stream_graph_stops_when_studio_denies_direct_fileset_delete(self): - inner = MagicMock() - graph = _StreamSafeGraph(inner) - - with ( - patch("nemo_studio_copilot.register._delete_fileset") as delete_fileset, - patch( - "nemo_studio_copilot.register._call_studio_tool", - return_value={"behavior": "deny", "message": "not now"}, - ), - ): - chunks = [ - chunk - async for chunk in graph.astream( - {"messages": [HumanMessage(content="Delete phishing_dataset fileset")]}, - config=TRUSTED_CONFIG, - ) - ] - - assert chunks == [{"messages": [AIMessageChunk(content="Denied by user: not now")]}] - delete_fileset.assert_not_called() - inner.astream.assert_not_called() - - @pytest.mark.asyncio - async def test_stream_graph_without_studio_session_rejects_direct_fileset_delete(self): - inner = MagicMock() - graph = _StreamSafeGraph(inner) - - with ( - patch( - "nemo_studio_copilot.register._delete_fileset", - return_value="Deleted fileset 'phishing_dataset' from workspace 'default'.", - ) as delete_fileset, - patch("nemo_studio_copilot.register._call_studio_tool") as studio_tool, - ): - chunks = [ - chunk - async for chunk in graph.astream( - {"messages": [HumanMessage(content="Delete phishing_dataset fileset")]}, - ) - ] - - assert chunks == [ - { - "messages": [ - AIMessageChunk(content="Denied: mutating operations require a trusted Studio approval context") - ] - } - ] - studio_tool.assert_not_called() - delete_fileset.assert_not_called() - inner.astream.assert_not_called() - - -class FakeWrapperGraph: - def __init__(self, outputs): - self.outputs = list(outputs) - self.inputs = [] - self.configs = [] - - async def ainvoke(self, state, config=None): - self.inputs.append(state) - self.configs.append(config) - return self.outputs.pop(0) - - -class FailingStreamingGraph: - def __init__(self, error): - self.error = error - - async def astream(self, state, config=None): - if False: - yield state - raise self.error - - -class TestNemoStudioCopilotWrapper: - @pytest.mark.parametrize( - ("messages", "expected"), - [ - ([], ""), - ([AIMessage(content="base message")], "base message"), - ([{"role": "assistant", "content": "dict message"}], "dict message"), - ], - ) - def test_convert_to_str_normalizes_message_representations(self, messages, expected): - output = NemoStudioCopilotWrapperOutput.model_construct(messages=messages) - - assert NemoStudioCopilotWrapperFunction.convert_to_str(output) == expected - - def test_chat_request_converts_trusted_session_to_invocation_config(self): - request = ChatRequest.model_validate( - { - "messages": [{"role": "user", "content": "hello"}], - "studio_session_id": TRUSTED_SESSION_ID, - } - ) - - value = NemoStudioCopilotWrapperFunction.convert_chat_request(request) - - # ``callbacks`` may also carry the NAT profiler handler; assert the - # session config specifically rather than the whole dict. - config = NemoStudioCopilotWrapperFunction._invocation_config(value) - assert config["configurable"] == TRUSTED_CONFIG["configurable"] - - @pytest.mark.asyncio - async def test_wrapper_passes_trusted_session_config_to_graph(self): - graph = FakeWrapperGraph([{"messages": [AIMessage(content="done")]}]) - wrapper = NemoStudioCopilotWrapperFunction(config=NemoStudioCopilotWrapperConfig(), graph=graph) - value = wrapper.convert_chat_request( - ChatRequest.model_validate( - { - "messages": [{"role": "user", "content": "hello"}], - "studio_session_id": TRUSTED_SESSION_ID, - } - ) - ) - - result = await wrapper._ainvoke(value) - - assert result.value == "done" - assert len(graph.configs) == 1 - assert graph.configs[0]["configurable"] == TRUSTED_CONFIG["configurable"] - - @pytest.mark.parametrize( - "message", - [ - ToolMessage(content='{"secret": "tool result"}', tool_call_id="call-1"), - {"role": "tool", "content": '{"secret": "tool result"}'}, - {"type": "tool", "content": '{"secret": "tool result"}'}, - ], - ) - def test_stream_value_hides_tool_messages(self, message): - output = NemoStudioCopilotWrapperFunction._parse({"messages": [message]}) - - assert output.value == "" - assert NemoStudioCopilotWrapperFunction.convert_to_chat_response_chunk(output).choices[0].delta.content == "" - - @pytest.mark.asyncio - @pytest.mark.parametrize( - "error,expected", - [ - (RuntimeError("upstream returned 429 Too Many Requests"), "temporarily rate-limited"), - (TimeoutError("request timed out"), "timed out"), - (RuntimeError("connection reset"), "returned an error"), - ], - ) - async def test_stream_failure_emits_visible_terminal_message(self, error, expected): - wrapper = NemoStudioCopilotWrapperFunction( - config=NemoStudioCopilotWrapperConfig(), - graph=FailingStreamingGraph(error), - ) - - outputs = [output async for output in wrapper._astream(wrapper.convert_str("test"))] - - assert len(outputs) == 1 - assert expected in outputs[0].value - - @pytest.mark.asyncio - async def test_empty_final_response_prompts_continuation(self): - graph = FakeWrapperGraph( - [ - {"messages": [HumanMessage(content="do task"), AIMessage(content="")]}, - {"messages": [AIMessage(content="completed")]}, - ] - ) - wrapper = NemoStudioCopilotWrapperFunction(config=NemoStudioCopilotWrapperConfig(), graph=graph) - - result = await wrapper._ainvoke_with_empty_response_retry({"messages": [HumanMessage(content="do task")]}) - - assert result.value == "completed" - assert len(graph.inputs) == 2 - retry_messages = graph.inputs[1]["messages"] - assert retry_messages[:-1] == [HumanMessage(content="do task")] - assert isinstance(retry_messages[-1], HumanMessage) - assert "previous assistant response was empty" in retry_messages[-1].content - assert all(not (isinstance(message, AIMessage) and not message.content) for message in retry_messages) - - @pytest.mark.asyncio - async def test_empty_final_response_retry_falls_back_to_original_state(self): - graph = FakeWrapperGraph( - [ - {"messages": [AIMessage(content="")]}, - {"messages": [AIMessage(content="completed")]}, - ] - ) - wrapper = NemoStudioCopilotWrapperFunction(config=NemoStudioCopilotWrapperConfig(), graph=graph) - - result = await wrapper._ainvoke_with_empty_response_retry({"messages": [HumanMessage(content="do task")]}) - - assert result.value == "completed" - retry_messages = graph.inputs[1]["messages"] - assert retry_messages[:-1] == [HumanMessage(content="do task")] - assert all(not (isinstance(message, AIMessage) and not message.content) for message in retry_messages) - - @pytest.mark.asyncio - async def test_empty_final_response_retry_preserves_tool_call_messages(self): - tool_call_message = AIMessage( - content="", - tool_calls=[{"name": "nemo_api", "args": {"resource": "workspaces"}, "id": "call-1"}], - ) - graph = FakeWrapperGraph( - [ - {"messages": [HumanMessage(content="do task"), tool_call_message, AIMessage(content="")]}, - {"messages": [AIMessage(content="completed")]}, - ] - ) - wrapper = NemoStudioCopilotWrapperFunction(config=NemoStudioCopilotWrapperConfig(), graph=graph) - - result = await wrapper._ainvoke_with_empty_response_retry({"messages": [HumanMessage(content="do task")]}) - - assert result.value == "completed" - retry_messages = graph.inputs[1]["messages"] - assert retry_messages[1] is tool_call_message - assert retry_messages[-2] is tool_call_message - assert isinstance(retry_messages[-1], HumanMessage) - - @pytest.mark.asyncio - async def test_non_empty_final_response_does_not_retry(self): - graph = FakeWrapperGraph([{"messages": [AIMessage(content="completed")]}]) - wrapper = NemoStudioCopilotWrapperFunction(config=NemoStudioCopilotWrapperConfig(), graph=graph) - - result = await wrapper._ainvoke_with_empty_response_retry({"messages": [HumanMessage(content="do task")]}) - - assert result.value == "completed" - assert len(graph.inputs) == 1 + assert response == "Error: `questions` must be a non-empty JSON array of question objects." diff --git a/agents/nemo-studio-copilot/uv.lock b/agents/nemo-studio-copilot/uv.lock index 7fe1f03fb0..f56890a70a 100644 --- a/agents/nemo-studio-copilot/uv.lock +++ b/agents/nemo-studio-copilot/uv.lock @@ -7,6 +7,18 @@ resolution-markers = [ "python_full_version < '3.12'", ] +[[package]] +name = "aiofile" +version = "3.12.3" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "caio" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/14/31/edb06aabd8f8f0b56d659f30800795f40b93cba96be946ce179f6931e3a5/aiofile-3.12.3.tar.gz", hash = "sha256:caa6aa746b5e47e2165f7abd741b6415e49cf4d44fddc0f61844612cc3924d41", size = 21600, upload-time = "2026-08-04T22:59:27.171Z" } 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.../skills/benchmark-execution/SKILL.md | 2 +- .../skills/evaluator/SKILL.md | 4 +- .../skills/files/SKILL.md | 20 +- .../skills/workspace/SKILL.md | 8 +- .../Dockerfile.fabric-local | 9 +- agents/nemo-studio-copilot/agent.yaml | 12 +- .../constraints.fabric-local.txt | 2 + agents/nemo-studio-copilot/pyproject.toml | 11 +- .../skills/auditor/SKILL.md | 17 + .../skills/benchmark-execution/SKILL.md | 20 + .../skills/entities/SKILL.md | 10 + .../skills/evaluator/SKILL.md | 18 + .../nemo-studio-copilot/skills/files/SKILL.md | 50 + .../skills/guardrails/SKILL.md | 16 + .../skills/inference/SKILL.md | 16 + .../skills/secrets/SKILL.md | 10 + .../skills/workspace/SKILL.md | 14 + .../src/nemo_studio_copilot/register.py | 70 +- .../skills/evaluator/SKILL.md | 4 +- .../nemo_studio_copilot/skills/files/SKILL.md | 20 +- .../skills/workspace/SKILL.md | 8 +- .../nemo-studio-copilot/tests/smoke_test.md | 35 +- .../tests/test_nemo_studio_copilot.py | 168 +- agents/nemo-studio-copilot/uv.lock | 3767 +++++++++++++++-- pytest.ini | 2 + 27 files changed, 3789 insertions(+), 538 deletions(-) create mode 100644 agents/nemo-studio-copilot/constraints.fabric-local.txt create mode 100644 agents/nemo-studio-copilot/skills/auditor/SKILL.md create mode 100644 agents/nemo-studio-copilot/skills/benchmark-execution/SKILL.md create mode 100644 agents/nemo-studio-copilot/skills/entities/SKILL.md create mode 100644 agents/nemo-studio-copilot/skills/evaluator/SKILL.md create mode 100644 agents/nemo-studio-copilot/skills/files/SKILL.md create mode 100644 agents/nemo-studio-copilot/skills/guardrails/SKILL.md create mode 100644 agents/nemo-studio-copilot/skills/inference/SKILL.md create mode 100644 agents/nemo-studio-copilot/skills/secrets/SKILL.md create mode 100644 agents/nemo-studio-copilot/skills/workspace/SKILL.md diff --git a/agents/nemo-studio-copilot-spec/AGENT-SPEC.md b/agents/nemo-studio-copilot-spec/AGENT-SPEC.md index 3326b5ff80..128371a178 100644 --- a/agents/nemo-studio-copilot-spec/AGENT-SPEC.md +++ b/agents/nemo-studio-copilot-spec/AGENT-SPEC.md @@ -88,7 +88,7 @@ Unit coverage lives in `agents/nemo-studio-copilot/tests/test_nemo_studio_copilo uv run --frozen pytest agents/nemo-studio-copilot/tests/test_nemo_studio_copilot.py -v ``` -The prior NAT evaluation YAML was removed because it depended on NAT's custom workflow and `/generate/full` endpoint. The existing cases remain in `nemo-studio-copilot-eval-data.json`; restoring automated evaluation requires a Fabric-compatible driver for `/v1/chat/completions`. +The prior NAT evaluation YAML was removed because it depended on NAT's custom workflow and `/generate/full` endpoint. Each retained case in `nemo-studio-copilot-eval-data.json` now has deterministic unit coverage for its required `nemo_api` tool path, collected by the root CI test suite. Manual Studio validation is documented in `agents/nemo-studio-copilot/tests/smoke_test.md`. Current coverage gaps include fileset listing, missing-workspace clarification, fast-path failure containment, destructive-action ambiguity, iteration limits, retry limits, cancellation, and end-to-end latency thresholds. diff --git a/agents/nemo-studio-copilot-spec/agent.yaml b/agents/nemo-studio-copilot-spec/agent.yaml index 493625dc86..4859af71a9 100644 --- a/agents/nemo-studio-copilot-spec/agent.yaml +++ b/agents/nemo-studio-copilot-spec/agent.yaml @@ -1,6 +1,6 @@ config_format: nemo-agents-spec-v1 name: nemo-studio-copilot -description: NeMo Studio assistant for inspecting and operating the active NeMo Platform workspace. +description: NeMo Studio copilot for discovering, configuring, operating, evaluating, and troubleshooting NeMo Platform resources through approval-aware SDK actions. instructions: system: @@ -11,10 +11,12 @@ instructions: for a human to run. Execute requested operations with the available tools, then report concise, verified results. Never invoke a CLI or subprocess. - Use the deployment's active workspace unless the user explicitly names - another one. The Studio session id appears in the user context. Pass it to - every Studio UI tool and to nemo_api for every mutating action. Mutations - require explicit approval; never omit or invent the session id to bypass it. + Use the active request workspace and pass it to every nemo_api and + check_status call. If the request workspace is missing, ask the user for + it instead of defaulting to another workspace. The Studio session id + appears in the user context. Pass it to every Studio UI tool and to + nemo_api for every mutating action. Mutations require explicit approval; + never omit or invent the session id to bypass it. Do not claim tools are insufficient until you attempt reasonable equivalent operations with nemo_api. Use check_status for platform jobs. Do not repeat diff --git a/agents/nemo-studio-copilot-spec/skills/benchmark-execution/SKILL.md b/agents/nemo-studio-copilot-spec/skills/benchmark-execution/SKILL.md index 59f648bff0..11c871cecf 100644 --- a/agents/nemo-studio-copilot-spec/skills/benchmark-execution/SKILL.md +++ b/agents/nemo-studio-copilot-spec/skills/benchmark-execution/SKILL.md @@ -8,7 +8,7 @@ This skill defines the execution requirements that every nemo-studio-copilot run `tests/agentic-use/` must satisfy so the canonical gate (`tests/agentic-use/passrate_token_policy_gate.py`) can score the run on verifier pass-rate and token totals. See -[`tests/agentic-use/README.md`](../../../../../../tests/agentic-use/README.md) +[`tests/agentic-use/README.md`](../../../../tests/agentic-use/README.md) for the full Run -> Gate -> Optimize loop these tasks plug into. - Treat `instruction.md` as the task contract: finish all numbered requirements. diff --git a/agents/nemo-studio-copilot-spec/skills/evaluator/SKILL.md b/agents/nemo-studio-copilot-spec/skills/evaluator/SKILL.md index e9c35758bd..71607d0a03 100644 --- a/agents/nemo-studio-copilot-spec/skills/evaluator/SKILL.md +++ b/agents/nemo-studio-copilot-spec/skills/evaluator/SKILL.md @@ -5,8 +5,8 @@ description: NeMo Platform evaluator playbook covering metrics, synchronous metr Evaluator tasks - Typical flow for simple metric jobs: - 1) Create workspace - 2) Create/upload dataset fileset + 1) Use the active request workspace; create a new workspace only when the task explicitly requires it + 2) Create/upload the dataset fileset in the selected workspace 3) Create metric (often `string-check`) 4) Run synchronous metric evaluation with inline rows 5) Create async metric job diff --git a/agents/nemo-studio-copilot-spec/skills/files/SKILL.md b/agents/nemo-studio-copilot-spec/skills/files/SKILL.md index 6108b0fe8f..31d57c5e9d 100644 --- a/agents/nemo-studio-copilot-spec/skills/files/SKILL.md +++ b/agents/nemo-studio-copilot-spec/skills/files/SKILL.md @@ -15,11 +15,27 @@ File tasks - Use resource `files.filesets` for fileset create/list/retrieve/delete operations. - Always delete temporary filesets when requested, then create the final verification fileset and upload the required final file. - Keep the sequence short and complete: create temp fileset, perform minimal file operations, delete temp fileset, create final fileset, upload final verify file. -- Never end with a plan-only response. Execute tool calls directly. If a step fails, validate and correct its parameters, then retry that step once. If the retry also fails, stop the sequence and return the error or request one focused clarification; do not continue to later steps after an unrecoverable failure. +- Never end with a plan-only response. Execute tool calls directly. +- For `create`, `upload_content`, and `delete`, treat a `nemo_api` error as an + unknown commit state unless it explicitly confirms a pre-commit validation + failure. Correct a confirmed pre-commit validation failure and retry once. +- Before retrying any other mutation error, read back the operation's stable + identity (fileset name for create/delete; fileset plus remote path for + upload/delete) to determine whether the intended state already exists, or use + a supported idempotency key on the original request. Retry once only when the + read-back confirms the mutation did not commit or the idempotency key makes + replay safe. If commit state remains unknown, do not retry; stop and report it. +- If a safe retry also fails, stop the sequence and return the error or request + one focused clarification; do not continue to later steps after an + unrecoverable failure. - Before final answer, verify final state with: - `nemo_api(resource="files.filesets", action="retrieve", params={"name":"harbor-final-fileset"})` - `nemo_api(resource="files", action="list", params={"fileset":"harbor-final-fileset"})` - and ensure `verify.txt` appears. + - `nemo_api(resource="files", action="download_content", params={"remote_path":"verify.txt","fileset":"harbor-final-fileset"})` + Ensure `verify.txt` appears, then confirm its downloaded content equals the + required content (`harbor-verification-content` in the benchmark flow). If + the service instead provides a trusted checksum or version, compare it with + the expected checksum or version. Fileset CRUD benchmark playbook (prefer this exact flow): diff --git a/agents/nemo-studio-copilot-spec/skills/workspace/SKILL.md b/agents/nemo-studio-copilot-spec/skills/workspace/SKILL.md index fb142e2ce8..d1b1518362 100644 --- a/agents/nemo-studio-copilot-spec/skills/workspace/SKILL.md +++ b/agents/nemo-studio-copilot-spec/skills/workspace/SKILL.md @@ -4,11 +4,11 @@ description: NeMo Platform workspace CRUD playbook through `nemo_api(resource='w --- Workspace tasks -- Some instructions mention MCP workspace tools (`create_workspace`, `list_workspaces`). - In AUT mode, complete the same intent with `nemo_api`. +- If instructions mention MCP workspace tools (`create_workspace`, `list_workspaces`), + complete the same intent with the corresponding `nemo_api` workspace operation below. - SDK/API operations: - - `nemo_api(resource="workspaces", action="create", params='{"name":"...", "description":"..."}')` + - `nemo_api(resource="workspaces", action="create", params='{"name":"...", "description":"..."}', studio_session_id="", workspace="")` - `nemo_api(resource="workspaces", action="list")` - `nemo_api(resource="workspaces", action="retrieve", params='{"name":"..."}')` - - `nemo_api(resource="workspaces", action="delete", params='{"name":"..."}')` + - `nemo_api(resource="workspaces", action="delete", params='{"name":"..."}', studio_session_id="", workspace="")` - Complete all numbered requirements before stopping. diff --git a/agents/nemo-studio-copilot/Dockerfile.fabric-local b/agents/nemo-studio-copilot/Dockerfile.fabric-local index 3591d47f98..e952094c8f 100644 --- a/agents/nemo-studio-copilot/Dockerfile.fabric-local +++ b/agents/nemo-studio-copilot/Dockerfile.fabric-local @@ -1,11 +1,12 @@ # Managed by `nemo agents package` — safe to delete if you take ownership. ARG BASE_IMAGE_URL=nvcr.io/nvidia/base/ubuntu ARG BASE_IMAGE_TAG=noble-20260217 +ARG BASE_IMAGE_DIGEST=sha256:57a7daab5579d4b4cfbe25b59dc9d22d0c4cec24e5608523e77fd5f12e9da51a ARG PYTHON_VERSION=3.13 -FROM ${BASE_IMAGE_URL}:${BASE_IMAGE_TAG} +FROM ${BASE_IMAGE_URL}:${BASE_IMAGE_TAG}@${BASE_IMAGE_DIGEST} ARG PYTHON_VERSION -COPY --from=ghcr.io/astral-sh/uv:0.9.14 /uv /uvx /bin/ +COPY --from=ghcr.io/astral-sh/uv:0.9.14@sha256:fef8e5fb8809f4b57069e919ffcd1529c92b432a2c8d8ad1768087b0b018d840 /uv /uvx /bin/ ENV PYTHONDONTWRITEBYTECODE=1 @@ -40,7 +41,9 @@ COPY ./ /workspace RUN --mount=type=cache,id=uv_cache,target=/root/.cache/uv,sharing=locked \ uv venv --python ${PYTHON_VERSION} /workspace/.venv && \ . /workspace/.venv/bin/activate && \ - uv pip install "/workspace/wheelhouse/nemo_platform-0.3.0.post122.dev0+ca85d0feb-py3-none-any.whl[nemo-agents-plugin]" . && \ + uv pip install --constraint /workspace/constraints.fabric-local.txt \ + "/workspace/wheelhouse/nemo_platform-0.3.0.post145.dev0+55876bbd3-py3-none-any.whl[nemo-agents-plugin]" \ + "nemo-fabric==0.1.0" . && \ chmod -R a+rX /opt/uv /workspace/.venv diff --git a/agents/nemo-studio-copilot/agent.yaml b/agents/nemo-studio-copilot/agent.yaml index e26f6e26c1..b22be6a971 100644 --- a/agents/nemo-studio-copilot/agent.yaml +++ b/agents/nemo-studio-copilot/agent.yaml @@ -1,6 +1,6 @@ config_format: nemo-agents-spec-v1 name: nemo-studio-copilot -description: NeMo Studio assistant for inspecting and operating the active NeMo Platform workspace. +description: NeMo Studio copilot for discovering, configuring, operating, evaluating, and troubleshooting NeMo Platform resources through approval-aware SDK actions. instructions: system: @@ -11,10 +11,12 @@ instructions: for a human to run. Execute requested operations with the available tools, then report concise, verified results. Never invoke a CLI or subprocess. - Use the deployment's active workspace unless the user explicitly names - another one. The Studio session id appears in the user context. Pass it to - every Studio UI tool and to nemo_api for every mutating action. Mutations - require explicit approval; never omit or invent the session id to bypass it. + Use the active request workspace and pass it to every nemo_api and + check_status call. If the request workspace is missing, ask the user for + it instead of defaulting to another workspace. The Studio session id + appears in the user context. Pass it to every Studio UI tool and to + nemo_api for every mutating action. Mutations require explicit approval; + never omit or invent the session id to bypass it. Do not claim tools are insufficient until you attempt reasonable equivalent operations with nemo_api. Use check_status for platform jobs. Do not repeat diff --git a/agents/nemo-studio-copilot/constraints.fabric-local.txt b/agents/nemo-studio-copilot/constraints.fabric-local.txt new file mode 100644 index 0000000000..8bda14f1d2 --- /dev/null +++ b/agents/nemo-studio-copilot/constraints.fabric-local.txt @@ -0,0 +1,2 @@ +# Keep the Fabric runtime aligned with the packaged agent contract. +nemo-fabric==0.1.0 diff --git a/agents/nemo-studio-copilot/pyproject.toml b/agents/nemo-studio-copilot/pyproject.toml index 2cda0ac8aa..b4eca576f7 100644 --- a/agents/nemo-studio-copilot/pyproject.toml +++ b/agents/nemo-studio-copilot/pyproject.toml @@ -9,7 +9,7 @@ build-backend = "hatchling.build" name = "nemo-studio-copilot" version = "0.1.0" description = "NeMo Studio Copilot — a Fabric Deep Agents assistant for NeMo Platform tasks." -requires-python = ">=3.11,<3.14" +requires-python = ">=3.12,<3.14" dependencies = [ "nemo-platform", "fastmcp>=3.2.0", @@ -21,3 +21,12 @@ nemo-studio-copilot-mcp = "nemo_studio_copilot.mcp_server:main" [tool.hatch.build.targets.wheel] packages = ["src/nemo_studio_copilot"] + +[tool.uv.sources] +nemo-agents-plugin = { path = "../../plugins/nemo-agents", editable = true } + +[dependency-groups] +test = [ + "nemo-agents-plugin", + "pytest>=9.0.3", +] diff --git a/agents/nemo-studio-copilot/skills/auditor/SKILL.md b/agents/nemo-studio-copilot/skills/auditor/SKILL.md new file mode 100644 index 0000000000..83d37091a2 --- /dev/null +++ b/agents/nemo-studio-copilot/skills/auditor/SKILL.md @@ -0,0 +1,17 @@ +--- +name: auditor +description: NeMo Platform auditor playbook for audit target and config CRUD through the platform SDK. Use when the task involves audit targets, audit configs, or probes. +--- +Auditor tasks + +- Use `nemo_api` with `audit.targets` for target CRUD and `audit.configs` + for config CRUD. +- Use the standard SDK actions: `create`, `list`, `retrieve`, `update`, and + `delete`. +- Pass the target or config fields as compact JSON in `params`. +- For config create, prefer minimal valid JSON: + - `plugins`: `{"probe_spec":"dan.AutoDANCached"}` (or requested probe) + - `reporting`: `{}` + - `run`: `{}` + - `system`: `{"lite": true}` +- Follow full lifecycle: create temp resource, verify/list/update/delete, then create final verification resource. diff --git a/agents/nemo-studio-copilot/skills/benchmark-execution/SKILL.md b/agents/nemo-studio-copilot/skills/benchmark-execution/SKILL.md new file mode 100644 index 0000000000..11c871cecf --- /dev/null +++ b/agents/nemo-studio-copilot/skills/benchmark-execution/SKILL.md @@ -0,0 +1,20 @@ +--- +name: benchmark-execution +description: "Benchmark task execution contract: complete every numbered requirement, execute tool calls directly (never plan-only), and verify final state with a direct retrieve/list before responding. Use for every agentic-use benchmark task." +--- +# Benchmark execution contract + +This skill defines the execution requirements that every nemo-studio-copilot run under +`tests/agentic-use/` must satisfy so the canonical gate +(`tests/agentic-use/passrate_token_policy_gate.py`) can score the run on +verifier pass-rate and token totals. See +[`tests/agentic-use/README.md`](../../../../tests/agentic-use/README.md) +for the full Run -> Gate -> Optimize loop these tasks plug into. + +- Treat `instruction.md` as the task contract: finish all numbered requirements. +- Execute tool calls yourself; do not end with a plan-only response. +- Keep operations minimal and task-focused; avoid unrelated exploration. +- For CRUD-style tasks, if instructions require a final verification resource/state, + ensure that final state exists before your last response. +- Before final response, run one direct verification call that checks the required + end state from the instruction (for example: retrieve/list/get status). diff --git a/agents/nemo-studio-copilot/skills/entities/SKILL.md b/agents/nemo-studio-copilot/skills/entities/SKILL.md new file mode 100644 index 0000000000..0e32b7acec --- /dev/null +++ b/agents/nemo-studio-copilot/skills/entities/SKILL.md @@ -0,0 +1,10 @@ +--- +name: entities +description: NeMo Platform model and dataset CRUD lifecycle through the platform SDK, with strict field matching on final verification entities. +--- +Entity tasks + +- Use `nemo_api` with the `models` or `datasets` resource as appropriate. +- Use the exact entity type and name from the instruction. +- For model/dataset CRUD, create the temporary entity, verify/list/update/delete it, then create the final verification entity. +- Keep JSON params valid and compact. Final dataset checks often require fields such as `format` and `size` to match exactly. diff --git a/agents/nemo-studio-copilot/skills/evaluator/SKILL.md b/agents/nemo-studio-copilot/skills/evaluator/SKILL.md new file mode 100644 index 0000000000..71607d0a03 --- /dev/null +++ b/agents/nemo-studio-copilot/skills/evaluator/SKILL.md @@ -0,0 +1,18 @@ +--- +name: evaluator +description: NeMo Platform evaluator playbook covering metrics, synchronous metric runs, and asynchronous metric jobs through the platform SDK. +--- +Evaluator tasks + +- Typical flow for simple metric jobs: + 1) Use the active request workspace; create a new workspace only when the task explicitly requires it + 2) Create/upload the dataset fileset in the selected workspace + 3) Create metric (often `string-check`) + 4) Run synchronous metric evaluation with inline rows + 5) Create async metric job + 6) Get/list job status +- Use `nemo_api` with `evaluation.metrics` for metric operations and + `evaluation.metric_jobs` for asynchronous jobs. +- Use `check_status` when polling a created evaluation job. +- For inline JSON data, keep payload compact and valid JSON. +- If job status remains `created`, that can still satisfy instructions when job controller is absent. diff --git a/agents/nemo-studio-copilot/skills/files/SKILL.md b/agents/nemo-studio-copilot/skills/files/SKILL.md new file mode 100644 index 0000000000..31d57c5e9d --- /dev/null +++ b/agents/nemo-studio-copilot/skills/files/SKILL.md @@ -0,0 +1,50 @@ +--- +name: files +description: platform fileset and file CRUD playbook with the exact `nemo_api(resource='files'|'files.filesets', ...)` sequence used by harbor benchmarks. Use when the task involves filesets, file uploads/downloads, `verify.txt`, `harbor-test-fileset`, or `harbor-final-fileset`. +--- +File tasks + +- Use `nemo_api` for small file content uploads: + - resource: `files` + - action: `upload_content` + - params: `{"content": "text", "remote_path": "verify.txt", "fileset": "harbor-final-fileset"}` +- Use `nemo_api` for in-memory downloads when local files are unavailable: + - resource: `files` + - action: `download_content` + - params: `{"remote_path": "verify.txt", "fileset": "harbor-final-fileset"}` +- Use resource `files.filesets` for fileset create/list/retrieve/delete operations. +- Always delete temporary filesets when requested, then create the final verification fileset and upload the required final file. +- Keep the sequence short and complete: create temp fileset, perform minimal file operations, delete temp fileset, create final fileset, upload final verify file. +- Never end with a plan-only response. Execute tool calls directly. +- For `create`, `upload_content`, and `delete`, treat a `nemo_api` error as an + unknown commit state unless it explicitly confirms a pre-commit validation + failure. Correct a confirmed pre-commit validation failure and retry once. +- Before retrying any other mutation error, read back the operation's stable + identity (fileset name for create/delete; fileset plus remote path for + upload/delete) to determine whether the intended state already exists, or use + a supported idempotency key on the original request. Retry once only when the + read-back confirms the mutation did not commit or the idempotency key makes + replay safe. If commit state remains unknown, do not retry; stop and report it. +- If a safe retry also fails, stop the sequence and return the error or request + one focused clarification; do not continue to later steps after an + unrecoverable failure. +- Before final answer, verify final state with: + - `nemo_api(resource="files.filesets", action="retrieve", params={"name":"harbor-final-fileset"})` + - `nemo_api(resource="files", action="list", params={"fileset":"harbor-final-fileset"})` + - `nemo_api(resource="files", action="download_content", params={"remote_path":"verify.txt","fileset":"harbor-final-fileset"})` + Ensure `verify.txt` appears, then confirm its downloaded content equals the + required content (`harbor-verification-content` in the benchmark flow). If + the service instead provides a trusted checksum or version, compare it with + the expected checksum or version. + +Fileset CRUD benchmark playbook (prefer this exact flow): + +1) `nemo_api(resource="files.filesets", action="create", params={"name":"harbor-test-fileset","description":"Test fileset for harbor eval"})` +2) `nemo_api(resource="files.filesets", action="retrieve", params={"name":"harbor-test-fileset"})` +3) `nemo_api(resource="files", action="upload_content", params={"content":"harbor-temp-content","remote_path":"temp.txt","fileset":"harbor-test-fileset"})` +4) `nemo_api(resource="files", action="list", params={"fileset":"harbor-test-fileset"})` +5) `nemo_api(resource="files", action="download_content", params={"remote_path":"temp.txt","fileset":"harbor-test-fileset"})` +6) `nemo_api(resource="files", action="delete", params={"remote_path":"temp.txt","fileset":"harbor-test-fileset"})` +7) `nemo_api(resource="files.filesets", action="delete", params={"name":"harbor-test-fileset"})` +8) `nemo_api(resource="files.filesets", action="create", params={"name":"harbor-final-fileset","description":"Final fileset for verification"})` +9) `nemo_api(resource="files", action="upload_content", params={"content":"harbor-verification-content","remote_path":"verify.txt","fileset":"harbor-final-fileset"})` diff --git a/agents/nemo-studio-copilot/skills/guardrails/SKILL.md b/agents/nemo-studio-copilot/skills/guardrails/SKILL.md new file mode 100644 index 0000000000..65de030071 --- /dev/null +++ b/agents/nemo-studio-copilot/skills/guardrails/SKILL.md @@ -0,0 +1,16 @@ +--- +name: guardrails +description: NeMo guardrails self-check input config plus harmful-message check workflow through the platform SDK. +--- +Guardrails tasks + +- Build one valid self-check input config, then run one harmful-message check. +- Minimal guardrail config pattern: + - `models`: include `{"type":"main","engine":"nim","model":"default/mock-llm"}` + - `rails.input.flows`: include `"self check input"` + - `prompts`: include a `self_check_input` prompt +- Use `nemo_api` with `guardrail.configs` for config CRUD. +- Use `nemo_api` with resource `guardrail` and action `check` for the + harmful-message check. +- Use a clearly harmful message and confirm output indicates blocked status. +- Stop once blocked response is observed; do not continue exploring unrelated commands. diff --git a/agents/nemo-studio-copilot/skills/inference/SKILL.md b/agents/nemo-studio-copilot/skills/inference/SKILL.md new file mode 100644 index 0000000000..bddd699686 --- /dev/null +++ b/agents/nemo-studio-copilot/skills/inference/SKILL.md @@ -0,0 +1,16 @@ +--- +name: inference +description: NeMo Platform inference provider registration lifecycle through the platform SDK (secret -> create temp provider -> verify -> delete -> create final provider). +--- +Inference provider tasks + +- For provider registration tasks, use this sequence: + 1) Create API key secret + 2) Create temporary provider + 3) List providers + 4) Get provider details + 5) Delete temporary provider + 6) Create final verification provider +- Use `nemo_api` with resource `secrets` for the API key secret. +- Use `nemo_api` with resource `inference.providers` for provider CRUD. +- Ensure final provider uses exactly the requested host URL and description. diff --git a/agents/nemo-studio-copilot/skills/secrets/SKILL.md b/agents/nemo-studio-copilot/skills/secrets/SKILL.md new file mode 100644 index 0000000000..69656c1cc0 --- /dev/null +++ b/agents/nemo-studio-copilot/skills/secrets/SKILL.md @@ -0,0 +1,10 @@ +--- +name: secrets +description: NeMo Platform secret CRUD lifecycle through the platform SDK. +--- +Secret tasks + +- Use `nemo_api` with resource `secrets`. +- Use `create`, `retrieve`, `list`, `update`, and `delete` actions as needed, + passing secret data directly in the JSON `params`. +- Always finish the whole lifecycle: create temporary secret, verify/list/update/delete it, then create the final verification secret. diff --git a/agents/nemo-studio-copilot/skills/workspace/SKILL.md b/agents/nemo-studio-copilot/skills/workspace/SKILL.md new file mode 100644 index 0000000000..d1b1518362 --- /dev/null +++ b/agents/nemo-studio-copilot/skills/workspace/SKILL.md @@ -0,0 +1,14 @@ +--- +name: workspace +description: NeMo Platform workspace CRUD playbook through `nemo_api(resource='workspaces')`. Use for workspace creation, listing, retrieval, or deletion. +--- +Workspace tasks + +- If instructions mention MCP workspace tools (`create_workspace`, `list_workspaces`), + complete the same intent with the corresponding `nemo_api` workspace operation below. +- SDK/API operations: + - `nemo_api(resource="workspaces", action="create", params='{"name":"...", "description":"..."}', studio_session_id="", workspace="")` + - `nemo_api(resource="workspaces", action="list")` + - `nemo_api(resource="workspaces", action="retrieve", params='{"name":"..."}')` + - `nemo_api(resource="workspaces", action="delete", params='{"name":"..."}', studio_session_id="", workspace="")` +- Complete all numbered requirements before stopping. diff --git a/agents/nemo-studio-copilot/src/nemo_studio_copilot/register.py b/agents/nemo-studio-copilot/src/nemo_studio_copilot/register.py index 50e968f2b5..bc3d5fa180 100644 --- a/agents/nemo-studio-copilot/src/nemo_studio_copilot/register.py +++ b/agents/nemo-studio-copilot/src/nemo_studio_copilot/register.py @@ -18,22 +18,24 @@ STUDIO_CALLBACK_TIMEOUT_SECONDS = 3600.0 _READ_ONLY_SDK_ACTIONS = frozenset({"get", "get_logs", "get_status", "list", "read", "retrieve", "search"}) -_client: NeMoPlatform | None = None +_clients: dict[str, NeMoPlatform] = {} def _active_workspace() -> str: return os.environ.get("NMP_WORKSPACE") or DEFAULT_WORKSPACE -def _get_client() -> NeMoPlatform: - global _client - if _client is None: +def _get_client(workspace: str) -> NeMoPlatform: + request_workspace = workspace.strip() + if not request_workspace: + raise ValueError("workspace is required") + if request_workspace not in _clients: base_url = os.environ.get("NEMO_BASE_URL") or os.environ.get("NMP_BASE_URL") - kwargs: dict[str, Any] = {"workspace": _active_workspace()} + kwargs: dict[str, Any] = {"workspace": request_workspace} if base_url: kwargs["base_url"] = base_url - _client = NeMoPlatform(**kwargs) - return _client + _clients[request_workspace] = NeMoPlatform(**kwargs) + return _clients[request_workspace] def _serialize(obj: Any) -> Any: @@ -153,17 +155,24 @@ def _request_mutation_approval( *, tool_name: str, tool_input: dict[str, Any], -) -> str | None: + workspace: str, +) -> dict[str, Any] | str: if studio_session_id is None: return "Denied: mutating operations require a Studio session id and explicit approval" try: session_id = _validated_session_id(studio_session_id) except ValueError: return "Denied: mutating operations require a valid Studio session id and explicit approval" - approval = _call_studio_tool(session_id, "approval_prompt", {"tool_name": tool_name, "input": tool_input}) + approval = _call_studio_tool( + session_id, + "approval_prompt", + {"tool_name": tool_name, "input": tool_input}, + workspace=workspace, + ) if approval.get("behavior") != "allow": return f"Denied by user: {approval.get('message') or 'operation was not approved'}" - return None + updated_input = approval.get("updatedInput") + return updated_input if isinstance(updated_input, dict) else tool_input def nemo_api( @@ -171,6 +180,7 @@ def nemo_api( action: str, params: str | None = None, studio_session_id: str | None = None, + workspace: str | None = None, ) -> str: """Call a NeMo Platform SDK method; writes require explicit Studio approval. @@ -178,23 +188,37 @@ def nemo_api( ``inference.providers``, ``files.filesets``, ``evaluation.metric_jobs``, ``guardrail``, ``secrets``, ``models`` or ``datasets``. ``action`` is the SDK method name. ``params`` is an optional JSON object string containing - keyword arguments. Pass the Studio session id from the user context for - create, update, delete, submit, upload, cancel, or other mutating actions. + keyword arguments. Pass the active request workspace for every operation. + Pass the Studio session id from the user context for create, update, delete, + submit, upload, cancel, or other mutating actions. """ try: + if workspace is None or not workspace.strip(): + return "Clarification required: which workspace should this operation use?" + parsed_params = json.loads(params) if params else None + if parsed_params is not None and not isinstance(parsed_params, dict): + raise ValueError("params must decode to a JSON object") normalized_action = action.strip().lower() if normalized_action not in _READ_ONLY_SDK_ACTIONS: - denial = _request_mutation_approval( + approved_input = _request_mutation_approval( studio_session_id, tool_name="nemo_api", - tool_input={"resource": resource, "action": action, "params": params}, + tool_input={"resource": resource, "action": action, "params": params, "workspace": workspace}, + workspace=workspace, ) - if denial is not None: - return denial - parsed_params = json.loads(params) if params else None - if parsed_params is not None and not isinstance(parsed_params, dict): - raise ValueError("params must decode to a JSON object") - result = _call_sdk_method(_resolve_resource(_get_client(), resource), action, parsed_params) + if isinstance(approved_input, str): + return approved_input + resource = approved_input.get("resource", resource) + action = approved_input.get("action", action) + approved_params = approved_input.get("params", params) + if approved_params != params: + params = approved_params + parsed_params = json.loads(params) if params else None + if parsed_params is not None and not isinstance(parsed_params, dict): + raise ValueError("params must decode to a JSON object") + workspace = approved_input.get("workspace", workspace) + normalized_action = action.strip().lower() + result = _call_sdk_method(_resolve_resource(_get_client(workspace), resource), normalized_action, parsed_params) return json.dumps(_serialize(result), indent=2, default=str) except Exception as exc: return f"Error: {type(exc).__name__}: {exc}" @@ -345,10 +369,12 @@ def ask_user_question(studio_session_id: str, questions: str) -> str: return json.dumps(approval.get("updatedInput") or {}) -def check_status(service: str, job_name: str) -> str: +def check_status(service: str, job_name: str, workspace: str | None = None) -> str: """Check an evaluation, customization, audit, or Data Designer job.""" try: - svc = getattr(_get_client(), service) + if workspace is None or not workspace.strip(): + return "Clarification required: which workspace should this status check use?" + svc = getattr(_get_client(workspace), service) last_error: Exception | None = None for sub_resource in ("metric_jobs", "benchmark_jobs", "jobs"): resource = getattr(svc, sub_resource, None) diff --git a/agents/nemo-studio-copilot/src/nemo_studio_copilot/skills/evaluator/SKILL.md b/agents/nemo-studio-copilot/src/nemo_studio_copilot/skills/evaluator/SKILL.md index e9c35758bd..71607d0a03 100644 --- a/agents/nemo-studio-copilot/src/nemo_studio_copilot/skills/evaluator/SKILL.md +++ b/agents/nemo-studio-copilot/src/nemo_studio_copilot/skills/evaluator/SKILL.md @@ -5,8 +5,8 @@ description: NeMo Platform evaluator playbook covering metrics, synchronous metr Evaluator tasks - Typical flow for simple metric jobs: - 1) Create workspace - 2) Create/upload dataset fileset + 1) Use the active request workspace; create a new workspace only when the task explicitly requires it + 2) Create/upload the dataset fileset in the selected workspace 3) Create metric (often `string-check`) 4) Run synchronous metric evaluation with inline rows 5) Create async metric job diff --git a/agents/nemo-studio-copilot/src/nemo_studio_copilot/skills/files/SKILL.md b/agents/nemo-studio-copilot/src/nemo_studio_copilot/skills/files/SKILL.md index 6108b0fe8f..31d57c5e9d 100644 --- a/agents/nemo-studio-copilot/src/nemo_studio_copilot/skills/files/SKILL.md +++ b/agents/nemo-studio-copilot/src/nemo_studio_copilot/skills/files/SKILL.md @@ -15,11 +15,27 @@ File tasks - Use resource `files.filesets` for fileset create/list/retrieve/delete operations. - Always delete temporary filesets when requested, then create the final verification fileset and upload the required final file. - Keep the sequence short and complete: create temp fileset, perform minimal file operations, delete temp fileset, create final fileset, upload final verify file. -- Never end with a plan-only response. Execute tool calls directly. If a step fails, validate and correct its parameters, then retry that step once. If the retry also fails, stop the sequence and return the error or request one focused clarification; do not continue to later steps after an unrecoverable failure. +- Never end with a plan-only response. Execute tool calls directly. +- For `create`, `upload_content`, and `delete`, treat a `nemo_api` error as an + unknown commit state unless it explicitly confirms a pre-commit validation + failure. Correct a confirmed pre-commit validation failure and retry once. +- Before retrying any other mutation error, read back the operation's stable + identity (fileset name for create/delete; fileset plus remote path for + upload/delete) to determine whether the intended state already exists, or use + a supported idempotency key on the original request. Retry once only when the + read-back confirms the mutation did not commit or the idempotency key makes + replay safe. If commit state remains unknown, do not retry; stop and report it. +- If a safe retry also fails, stop the sequence and return the error or request + one focused clarification; do not continue to later steps after an + unrecoverable failure. - Before final answer, verify final state with: - `nemo_api(resource="files.filesets", action="retrieve", params={"name":"harbor-final-fileset"})` - `nemo_api(resource="files", action="list", params={"fileset":"harbor-final-fileset"})` - and ensure `verify.txt` appears. + - `nemo_api(resource="files", action="download_content", params={"remote_path":"verify.txt","fileset":"harbor-final-fileset"})` + Ensure `verify.txt` appears, then confirm its downloaded content equals the + required content (`harbor-verification-content` in the benchmark flow). If + the service instead provides a trusted checksum or version, compare it with + the expected checksum or version. Fileset CRUD benchmark playbook (prefer this exact flow): diff --git a/agents/nemo-studio-copilot/src/nemo_studio_copilot/skills/workspace/SKILL.md b/agents/nemo-studio-copilot/src/nemo_studio_copilot/skills/workspace/SKILL.md index fb142e2ce8..d1b1518362 100644 --- a/agents/nemo-studio-copilot/src/nemo_studio_copilot/skills/workspace/SKILL.md +++ b/agents/nemo-studio-copilot/src/nemo_studio_copilot/skills/workspace/SKILL.md @@ -4,11 +4,11 @@ description: NeMo Platform workspace CRUD playbook through `nemo_api(resource='w --- Workspace tasks -- Some instructions mention MCP workspace tools (`create_workspace`, `list_workspaces`). - In AUT mode, complete the same intent with `nemo_api`. +- If instructions mention MCP workspace tools (`create_workspace`, `list_workspaces`), + complete the same intent with the corresponding `nemo_api` workspace operation below. - SDK/API operations: - - `nemo_api(resource="workspaces", action="create", params='{"name":"...", "description":"..."}')` + - `nemo_api(resource="workspaces", action="create", params='{"name":"...", "description":"..."}', studio_session_id="", workspace="")` - `nemo_api(resource="workspaces", action="list")` - `nemo_api(resource="workspaces", action="retrieve", params='{"name":"..."}')` - - `nemo_api(resource="workspaces", action="delete", params='{"name":"..."}')` + - `nemo_api(resource="workspaces", action="delete", params='{"name":"..."}', studio_session_id="", workspace="")` - Complete all numbered requirements before stopping. diff --git a/agents/nemo-studio-copilot/tests/smoke_test.md b/agents/nemo-studio-copilot/tests/smoke_test.md index 7d8d181975..63780b96f2 100644 --- a/agents/nemo-studio-copilot/tests/smoke_test.md +++ b/agents/nemo-studio-copilot/tests/smoke_test.md @@ -13,6 +13,7 @@ PYTHONPATH=agents/nemo-studio-copilot/src \ uv run --frozen pytest agents/nemo-studio-copilot/tests/test_nemo_studio_copilot.py -v uv run ruff check agents/nemo-studio-copilot/src agents/nemo-studio-copilot/tests uv run ruff format --check agents/nemo-studio-copilot/src agents/nemo-studio-copilot/tests +uv run --frozen ty check ``` The tests validate Fabric translation, the Deep Agents adapter, all packaged @@ -35,7 +36,7 @@ nemo agents package \ nemo agents deploy --agent nemo-studio-copilot \ --name nemo-studio-copilot-fabric-deployment \ --mode docker --image nemo-studio-copilot:fabric-local -nemo agents deployments list +nemo agents deployments wait nemo-studio-copilot-fabric-deployment ``` The generated image must use the Fabric server entrypoint, not `nat serve`. @@ -43,15 +44,16 @@ The generated image must use the Fabric server entrypoint, not `nat serve`. ## Invocation ```bash -nemo agents invoke --agent nemo-studio-copilot \ +nemo agents invoke --agent-deployment nemo-studio-copilot-fabric-deployment \ --input "List all workspaces on the platform" -nemo agents invoke --agent nemo-studio-copilot \ +nemo agents invoke --agent-deployment nemo-studio-copilot-fabric-deployment \ --input "List the available models and inference providers using the platform API." ``` For mutation approval, invoke through Studio and ask the copilot to create a -workspace. Verify that Studio renders an approval prompt before the SDK call, -and that declining leaves platform state unchanged. +workspace named `nemo-studio-copilot-smoke-test`. Verify that Studio renders an +approval prompt before the SDK call, and that declining leaves platform state +unchanged. ## Studio streaming @@ -60,10 +62,21 @@ Open `http://127.0.0.1:8080/studio`, select the copilot deployment, and send success or error. Then exercise a selector and an approved mutation to verify the callback MCP tools. -## Evaluation status +## Cleanup -The former YAML used NAT's evaluation workflow and `/generate/full` contract, -so it was intentionally removed. Fabric serves OpenAI-compatible -`/v1/chat/completions`; a Fabric-compatible evaluation driver is required -before restoring the three existing cases in -`src/nemo_studio_copilot/nemo-studio-copilot-eval-data.json`. +After verification, remove the temporary workspace, then undeploy and delete +the agent so another smoke-test run starts cleanly: + +```bash +nemo workspaces delete nemo-studio-copilot-smoke-test +nemo agents undeploy nemo-studio-copilot-fabric-deployment --yes +nemo agents delete nemo-studio-copilot --yes +``` + +## Automated evaluation coverage + +The former NAT `/generate/full` evaluation YAML remains removed. Each case in +`src/nemo_studio_copilot/nemo-studio-copilot-eval-data.json` now has +deterministic unit coverage for its required `nemo_api` tool path in +`test_nemo_studio_copilot.py`. Root pytest discovery includes these unit tests, +so `make test-unit-ci` runs them in CI without a live model endpoint. diff --git a/agents/nemo-studio-copilot/tests/test_nemo_studio_copilot.py b/agents/nemo-studio-copilot/tests/test_nemo_studio_copilot.py index 15b8f8e30c..e7d0cd2c6e 100644 --- a/agents/nemo-studio-copilot/tests/test_nemo_studio_copilot.py +++ b/agents/nemo-studio-copilot/tests/test_nemo_studio_copilot.py @@ -14,6 +14,45 @@ AGENT_ROOT = Path(__file__).parents[1] SPEC_ROOT = AGENT_ROOT.parent / "nemo-studio-copilot-spec" +EVAL_DATA_PATH = AGENT_ROOT / "src/nemo_studio_copilot/nemo-studio-copilot-eval-data.json" + +pytestmark = pytest.mark.unit + +EvalCall = tuple[str, str, str | None] +EVAL_CASE_COVERAGE: dict[str, tuple[str, tuple[EvalCall, ...], list[object]]] = { + "Show the details for the default workspace without making any changes.": ( + "details for the default workspace", + (("workspaces", "retrieve", '{"name":"default"}'),), + [{"name": "default", "description": "Default workspace"}], + ), + "List all workspaces on the platform": ( + "list of workspaces", + (("workspaces", "list", None),), + [[{"name": "default"}, {"name": "research"}]], + ), + "List the available models and inference providers using the platform API.": ( + "list of available models and inference providers", + (("models", "list", None), ("inference.providers", "list", None)), + [[{"name": "model-a"}], [{"name": "provider-a"}]], + ), +} + + +def _load_eval_cases() -> list[dict[str, str]]: + raw_cases = json.loads(EVAL_DATA_PATH.read_text(encoding="utf-8")) + assert isinstance(raw_cases, list) + cases: list[dict[str, str]] = [] + for raw_case in raw_cases: + assert isinstance(raw_case, dict) + input_message = raw_case.get("input_message") + expected_output = raw_case.get("expected_output") + assert isinstance(input_message, str) + assert isinstance(expected_output, str) + cases.append({"input_message": input_message, "expected_output": expected_output}) + return cases + + +EVAL_CASES = _load_eval_cases() def test_agent_config_translates_to_fabric_deepagents() -> None: @@ -70,13 +109,41 @@ def test_mcp_server_exposes_expected_tools() -> None: def test_read_only_nemo_api_calls_sdk_without_approval(monkeypatch: pytest.MonkeyPatch) -> None: resource = SimpleNamespace(list=lambda: [SimpleNamespace(name="default")]) - monkeypatch.setattr(register, "_client", SimpleNamespace(workspaces=resource)) + monkeypatch.setattr(register, "_clients", {"default": SimpleNamespace(workspaces=resource)}) - response = json.loads(register.nemo_api("workspaces", "list")) + response = json.loads(register.nemo_api("workspaces", "list", workspace="default")) assert response == ["namespace(name='default')"] +def test_every_eval_case_has_deterministic_coverage() -> None: + assert len(EVAL_CASES) == 3 + assert {case["input_message"] for case in EVAL_CASES} == EVAL_CASE_COVERAGE.keys() + + +@pytest.mark.parametrize("case", EVAL_CASES, ids=lambda case: case["input_message"]) +def test_eval_case_uses_expected_read_only_tool_paths(monkeypatch: pytest.MonkeyPatch, case: dict[str, str]) -> None: + expected_output, calls, expected_results = EVAL_CASE_COVERAGE[case["input_message"]] + assert case["expected_output"] == expected_output + + client = SimpleNamespace( + workspaces=SimpleNamespace( + retrieve=lambda name: {"name": name, "description": "Default workspace"}, + list=lambda: [{"name": "default"}, {"name": "research"}], + ), + models=SimpleNamespace(list=lambda: [{"name": "model-a"}]), + inference=SimpleNamespace(providers=SimpleNamespace(list=lambda: [{"name": "provider-a"}])), + ) + monkeypatch.setattr(register, "_clients", {"default": client}) + + results = [ + json.loads(register.nemo_api(resource, action, params, workspace="default")) + for resource, action, params in calls + ] + + assert results == expected_results + + def test_mutating_nemo_api_requires_studio_session(monkeypatch: pytest.MonkeyPatch) -> None: called = False @@ -85,9 +152,9 @@ def create(**_kwargs: object) -> object: called = True return {} - monkeypatch.setattr(register, "_client", SimpleNamespace(workspaces=SimpleNamespace(create=create))) + monkeypatch.setattr(register, "_clients", {"default": SimpleNamespace(workspaces=SimpleNamespace(create=create))}) - response = register.nemo_api("workspaces", "create", '{"name": "demo"}') + response = register.nemo_api("workspaces", "create", '{"name": "demo"}', workspace="default") assert response.startswith("Denied:") assert called is False @@ -95,30 +162,109 @@ def create(**_kwargs: object) -> object: def test_mutating_nemo_api_uses_studio_approval(monkeypatch: pytest.MonkeyPatch) -> None: session_id = "90a877d5-19f6-49a8-bf09-d0020ae0833a" - approvals: list[tuple[str, str, dict[str, object]]] = [] + approvals: list[tuple[str, str, dict[str, object], dict[str, object]]] = [] - def approve(session: str, tool_name: str, arguments: dict[str, object], **_kwargs: object) -> dict[str, str]: - approvals.append((session, tool_name, arguments)) + def approve(session: str, tool_name: str, arguments: dict[str, object], **kwargs: object) -> dict[str, str]: + approvals.append((session, tool_name, arguments, kwargs)) return {"behavior": "allow"} resource = SimpleNamespace(create=lambda **kwargs: kwargs) - monkeypatch.setattr(register, "_client", SimpleNamespace(workspaces=resource)) + monkeypatch.setattr(register, "_clients", {"default": SimpleNamespace(workspaces=resource)}) monkeypatch.setattr(register, "_call_studio_tool", approve) - response = json.loads(register.nemo_api("workspaces", "create", '{"name": "demo"}', studio_session_id=session_id)) + response = json.loads( + register.nemo_api("workspaces", "create", '{"name": "demo"}', studio_session_id=session_id, workspace="default") + ) assert response == {"name": "demo"} assert approvals[0][0:2] == (session_id, "approval_prompt") + assert approvals[0][2]["input"] == { + "resource": "workspaces", + "action": "create", + "params": '{"name": "demo"}', + "workspace": "default", + } + assert approvals[0][3]["workspace"] == "default" + + +def test_mutating_nemo_api_uses_edited_approved_input(monkeypatch: pytest.MonkeyPatch) -> None: + session_id = "90a877d5-19f6-49a8-bf09-d0020ae0833a" + + def approve(_session: str, _tool_name: str, arguments: dict[str, object], **_kwargs: object) -> dict[str, object]: + input_value = arguments["input"] + assert isinstance(input_value, dict) + updated_input = dict(input_value) + updated_input["params"] = '{"name": "approved"}' + return {"behavior": "allow", "updatedInput": updated_input} + + resource = SimpleNamespace(create=lambda **kwargs: kwargs) + monkeypatch.setattr(register, "_clients", {"default": SimpleNamespace(workspaces=resource)}) + monkeypatch.setattr(register, "_call_studio_tool", approve) + + response = json.loads( + register.nemo_api( + "workspaces", " CREATE ", '{"name": "original"}', studio_session_id=session_id, workspace="default" + ) + ) + + assert response == {"name": "approved"} + + +def test_mutating_nemo_api_validates_params_before_approval(monkeypatch: pytest.MonkeyPatch) -> None: + approval_requested = False + + def approve(*_args: object, **_kwargs: object) -> dict[str, str]: + nonlocal approval_requested + approval_requested = True + return {"behavior": "allow"} + + monkeypatch.setattr(register, "_call_studio_tool", approve) + + response = register.nemo_api( + "workspaces", + "create", + '["not", "an", "object"]', + studio_session_id="90a877d5-19f6-49a8-bf09-d0020ae0833a", + workspace="default", + ) + + assert response == "Error: ValueError: params must decode to a JSON object" + assert approval_requested is False def test_nemo_api_rejects_non_object_params(monkeypatch: pytest.MonkeyPatch) -> None: - monkeypatch.setattr(register, "_client", SimpleNamespace(workspaces=SimpleNamespace(list=lambda: []))) + monkeypatch.setattr(register, "_clients", {"default": SimpleNamespace(workspaces=SimpleNamespace(list=lambda: []))}) - response = register.nemo_api("workspaces", "list", '["not", "an", "object"]') + response = register.nemo_api("workspaces", "list", '["not", "an", "object"]', workspace="default") assert response == "Error: ValueError: params must decode to a JSON object" +def test_nemo_api_uses_request_workspace_for_each_client(monkeypatch: pytest.MonkeyPatch) -> None: + created_workspaces: list[str] = [] + + def create_client(**kwargs: object) -> object: + workspace = str(kwargs["workspace"]) + created_workspaces.append(workspace) + return SimpleNamespace(models=SimpleNamespace(list=lambda: [workspace])) + + monkeypatch.setattr(register, "_clients", {}) + monkeypatch.setattr(register, "NeMoPlatform", create_client) + + first = json.loads(register.nemo_api("models", "list", workspace="first")) + second = json.loads(register.nemo_api("models", "list", workspace="second")) + + assert first == ["first"] + assert second == ["second"] + assert created_workspaces == ["first", "second"] + + +def test_nemo_api_requires_request_workspace() -> None: + response = register.nemo_api("models", "list") + + assert response == "Clarification required: which workspace should this operation use?" + + def test_studio_callback_url_validates_session(monkeypatch: pytest.MonkeyPatch) -> None: monkeypatch.setenv("NMP_BASE_URL", "http://platform:8080") diff --git a/agents/nemo-studio-copilot/uv.lock b/agents/nemo-studio-copilot/uv.lock index f56890a70a..bc0063e2bc 100644 --- a/agents/nemo-studio-copilot/uv.lock +++ b/agents/nemo-studio-copilot/uv.lock @@ -1,10 +1,18 @@ version = 1 revision = 3 -requires-python = ">=3.11, <3.14" +requires-python = ">=3.12, <3.14" resolution-markers = [ "python_full_version >= '3.13'", - "python_full_version == '3.12.*'", - "python_full_version < '3.12'", + "python_full_version < '3.13'", +] + +[[package]] +name = "absl-py" +version = "2.5.0" +source = { registry = "https://pypi.org/simple" } +sdist = { url = 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<44468613+dmariali@users.noreply.github.com> Date: Mon, 10 Aug 2026 10:38:30 -0400 Subject: [PATCH 3/6] additional feedback Signed-off-by: Danielle Ali <44468613+dmariali@users.noreply.github.com> --- .../skills/benchmark-execution/SKILL.md | 6 +- .../skills/files/SKILL.md | 38 +- .../skills/workspace/SKILL.md | 4 +- .../skills/benchmark-execution/SKILL.md | 6 +- .../nemo-studio-copilot/skills/files/SKILL.md | 38 +- .../skills/workspace/SKILL.md | 4 +- .../src/nemo_studio_copilot/register.py | 3 +- .../skills/benchmark-execution/SKILL.md | 6 +- .../nemo_studio_copilot/skills/files/SKILL.md | 38 +- .../skills/workspace/SKILL.md | 4 +- .../tests/test_nemo_studio_copilot.py | 35 ++ uv.lock | 415 +----------------- 12 files changed, 121 insertions(+), 476 deletions(-) diff --git a/agents/nemo-studio-copilot-spec/skills/benchmark-execution/SKILL.md b/agents/nemo-studio-copilot-spec/skills/benchmark-execution/SKILL.md index 11c871cecf..d6b67d81aa 100644 --- a/agents/nemo-studio-copilot-spec/skills/benchmark-execution/SKILL.md +++ b/agents/nemo-studio-copilot-spec/skills/benchmark-execution/SKILL.md @@ -16,5 +16,7 @@ for the full Run -> Gate -> Optimize loop these tasks plug into. - Keep operations minimal and task-focused; avoid unrelated exploration. - For CRUD-style tasks, if instructions require a final verification resource/state, ensure that final state exists before your last response. -- Before final response, run one direct verification call that checks the required - end state from the instruction (for example: retrieve/list/get status). +- Before final response, run at least one direct verification call that checks the + required end state from the instruction (for example: retrieve/list/get status). + Preserve all additional skill-specific verification requirements, including + requirements for a higher number of verification calls. diff --git a/agents/nemo-studio-copilot-spec/skills/files/SKILL.md b/agents/nemo-studio-copilot-spec/skills/files/SKILL.md index 31d57c5e9d..f2d34f2a92 100644 --- a/agents/nemo-studio-copilot-spec/skills/files/SKILL.md +++ b/agents/nemo-studio-copilot-spec/skills/files/SKILL.md @@ -19,19 +19,23 @@ File tasks - For `create`, `upload_content`, and `delete`, treat a `nemo_api` error as an unknown commit state unless it explicitly confirms a pre-commit validation failure. Correct a confirmed pre-commit validation failure and retry once. -- Before retrying any other mutation error, read back the operation's stable +- Before retrying or continuing after any other mutation error, use the stable identity (fileset name for create/delete; fileset plus remote path for - upload/delete) to determine whether the intended state already exists, or use - a supported idempotency key on the original request. Retry once only when the - read-back confirms the mutation did not commit or the idempotency key makes - replay safe. If commit state remains unknown, do not retry; stop and report it. + upload/delete) only to locate candidate state; stable identity alone never + proves commit state. Attribute the state to this run with a unique run marker + (including a supported idempotency key), or verify every applicable expected + attribute: description, content or checksum, and ownership. +- Retry once only when attributed read-back confirms the mutation did not commit + or the run marker makes replay safe. Continue only when attributed read-back + confirms the intended state. Otherwise commit state is unknown: do not retry + or continue; stop and report it. - If a safe retry also fails, stop the sequence and return the error or request one focused clarification; do not continue to later steps after an unrecoverable failure. - Before final answer, verify final state with: - - `nemo_api(resource="files.filesets", action="retrieve", params={"name":"harbor-final-fileset"})` - - `nemo_api(resource="files", action="list", params={"fileset":"harbor-final-fileset"})` - - `nemo_api(resource="files", action="download_content", params={"remote_path":"verify.txt","fileset":"harbor-final-fileset"})` + - `nemo_api(resource="files.filesets", action="retrieve", params={"name":"harbor-final-fileset"}, workspace="")` + - `nemo_api(resource="files", action="list", params={"fileset":"harbor-final-fileset"}, workspace="")` + - `nemo_api(resource="files", action="download_content", params={"remote_path":"verify.txt","fileset":"harbor-final-fileset"}, workspace="")` Ensure `verify.txt` appears, then confirm its downloaded content equals the required content (`harbor-verification-content` in the benchmark flow). If the service instead provides a trusted checksum or version, compare it with @@ -39,12 +43,12 @@ File tasks Fileset CRUD benchmark playbook (prefer this exact flow): -1) `nemo_api(resource="files.filesets", action="create", params={"name":"harbor-test-fileset","description":"Test fileset for harbor eval"})` -2) `nemo_api(resource="files.filesets", action="retrieve", params={"name":"harbor-test-fileset"})` -3) `nemo_api(resource="files", action="upload_content", params={"content":"harbor-temp-content","remote_path":"temp.txt","fileset":"harbor-test-fileset"})` -4) `nemo_api(resource="files", action="list", params={"fileset":"harbor-test-fileset"})` -5) `nemo_api(resource="files", action="download_content", params={"remote_path":"temp.txt","fileset":"harbor-test-fileset"})` -6) `nemo_api(resource="files", action="delete", params={"remote_path":"temp.txt","fileset":"harbor-test-fileset"})` -7) `nemo_api(resource="files.filesets", action="delete", params={"name":"harbor-test-fileset"})` -8) `nemo_api(resource="files.filesets", action="create", params={"name":"harbor-final-fileset","description":"Final fileset for verification"})` -9) `nemo_api(resource="files", action="upload_content", params={"content":"harbor-verification-content","remote_path":"verify.txt","fileset":"harbor-final-fileset"})` +1) `nemo_api(resource="files.filesets", action="create", params={"name":"harbor-test-fileset","description":"Test fileset for harbor eval"}, workspace="")` +2) `nemo_api(resource="files.filesets", action="retrieve", params={"name":"harbor-test-fileset"}, workspace="")` +3) `nemo_api(resource="files", action="upload_content", params={"content":"harbor-temp-content","remote_path":"temp.txt","fileset":"harbor-test-fileset"}, workspace="")` +4) `nemo_api(resource="files", action="list", params={"fileset":"harbor-test-fileset"}, workspace="")` +5) `nemo_api(resource="files", action="download_content", params={"remote_path":"temp.txt","fileset":"harbor-test-fileset"}, workspace="")` +6) `nemo_api(resource="files", action="delete", params={"remote_path":"temp.txt","fileset":"harbor-test-fileset"}, workspace="")` +7) `nemo_api(resource="files.filesets", action="delete", params={"name":"harbor-test-fileset"}, workspace="")` +8) `nemo_api(resource="files.filesets", action="create", params={"name":"harbor-final-fileset","description":"Final fileset for verification"}, workspace="")` +9) `nemo_api(resource="files", action="upload_content", params={"content":"harbor-verification-content","remote_path":"verify.txt","fileset":"harbor-final-fileset"}, workspace="")` diff --git a/agents/nemo-studio-copilot-spec/skills/workspace/SKILL.md b/agents/nemo-studio-copilot-spec/skills/workspace/SKILL.md index d1b1518362..64c6127c27 100644 --- a/agents/nemo-studio-copilot-spec/skills/workspace/SKILL.md +++ b/agents/nemo-studio-copilot-spec/skills/workspace/SKILL.md @@ -8,7 +8,7 @@ Workspace tasks complete the same intent with the corresponding `nemo_api` workspace operation below. - SDK/API operations: - `nemo_api(resource="workspaces", action="create", params='{"name":"...", "description":"..."}', studio_session_id="", workspace="")` - - `nemo_api(resource="workspaces", action="list")` - - `nemo_api(resource="workspaces", action="retrieve", params='{"name":"..."}')` + - `nemo_api(resource="workspaces", action="list", workspace="")` + - `nemo_api(resource="workspaces", action="retrieve", params='{"name":"..."}', workspace="")` - `nemo_api(resource="workspaces", action="delete", params='{"name":"..."}', studio_session_id="", workspace="")` - Complete all numbered requirements before stopping. diff --git a/agents/nemo-studio-copilot/skills/benchmark-execution/SKILL.md b/agents/nemo-studio-copilot/skills/benchmark-execution/SKILL.md index 11c871cecf..d6b67d81aa 100644 --- a/agents/nemo-studio-copilot/skills/benchmark-execution/SKILL.md +++ b/agents/nemo-studio-copilot/skills/benchmark-execution/SKILL.md @@ -16,5 +16,7 @@ for the full Run -> Gate -> Optimize loop these tasks plug into. - Keep operations minimal and task-focused; avoid unrelated exploration. - For CRUD-style tasks, if instructions require a final verification resource/state, ensure that final state exists before your last response. -- Before final response, run one direct verification call that checks the required - end state from the instruction (for example: retrieve/list/get status). +- Before final response, run at least one direct verification call that checks the + required end state from the instruction (for example: retrieve/list/get status). + Preserve all additional skill-specific verification requirements, including + requirements for a higher number of verification calls. diff --git a/agents/nemo-studio-copilot/skills/files/SKILL.md b/agents/nemo-studio-copilot/skills/files/SKILL.md index 31d57c5e9d..f2d34f2a92 100644 --- a/agents/nemo-studio-copilot/skills/files/SKILL.md +++ b/agents/nemo-studio-copilot/skills/files/SKILL.md @@ -19,19 +19,23 @@ File tasks - For `create`, `upload_content`, and `delete`, treat a `nemo_api` error as an unknown commit state unless it explicitly confirms a pre-commit validation failure. Correct a confirmed pre-commit validation failure and retry once. -- Before retrying any other mutation error, read back the operation's stable +- Before retrying or continuing after any other mutation error, use the stable identity (fileset name for create/delete; fileset plus remote path for - upload/delete) to determine whether the intended state already exists, or use - a supported idempotency key on the original request. Retry once only when the - read-back confirms the mutation did not commit or the idempotency key makes - replay safe. If commit state remains unknown, do not retry; stop and report it. + upload/delete) only to locate candidate state; stable identity alone never + proves commit state. Attribute the state to this run with a unique run marker + (including a supported idempotency key), or verify every applicable expected + attribute: description, content or checksum, and ownership. +- Retry once only when attributed read-back confirms the mutation did not commit + or the run marker makes replay safe. Continue only when attributed read-back + confirms the intended state. Otherwise commit state is unknown: do not retry + or continue; stop and report it. - If a safe retry also fails, stop the sequence and return the error or request one focused clarification; do not continue to later steps after an unrecoverable failure. - Before final answer, verify final state with: - - `nemo_api(resource="files.filesets", action="retrieve", params={"name":"harbor-final-fileset"})` - - `nemo_api(resource="files", action="list", params={"fileset":"harbor-final-fileset"})` - - `nemo_api(resource="files", action="download_content", params={"remote_path":"verify.txt","fileset":"harbor-final-fileset"})` + - `nemo_api(resource="files.filesets", action="retrieve", params={"name":"harbor-final-fileset"}, workspace="")` + - `nemo_api(resource="files", action="list", params={"fileset":"harbor-final-fileset"}, workspace="")` + - `nemo_api(resource="files", action="download_content", params={"remote_path":"verify.txt","fileset":"harbor-final-fileset"}, workspace="")` Ensure `verify.txt` appears, then confirm its downloaded content equals the required content (`harbor-verification-content` in the benchmark flow). If the service instead provides a trusted checksum or version, compare it with @@ -39,12 +43,12 @@ File tasks Fileset CRUD benchmark playbook (prefer this exact flow): -1) `nemo_api(resource="files.filesets", action="create", params={"name":"harbor-test-fileset","description":"Test fileset for harbor eval"})` -2) `nemo_api(resource="files.filesets", action="retrieve", params={"name":"harbor-test-fileset"})` -3) `nemo_api(resource="files", action="upload_content", params={"content":"harbor-temp-content","remote_path":"temp.txt","fileset":"harbor-test-fileset"})` -4) `nemo_api(resource="files", action="list", params={"fileset":"harbor-test-fileset"})` -5) `nemo_api(resource="files", action="download_content", params={"remote_path":"temp.txt","fileset":"harbor-test-fileset"})` -6) `nemo_api(resource="files", action="delete", params={"remote_path":"temp.txt","fileset":"harbor-test-fileset"})` -7) `nemo_api(resource="files.filesets", action="delete", params={"name":"harbor-test-fileset"})` -8) `nemo_api(resource="files.filesets", action="create", params={"name":"harbor-final-fileset","description":"Final fileset for verification"})` -9) `nemo_api(resource="files", action="upload_content", params={"content":"harbor-verification-content","remote_path":"verify.txt","fileset":"harbor-final-fileset"})` +1) `nemo_api(resource="files.filesets", action="create", params={"name":"harbor-test-fileset","description":"Test fileset for harbor eval"}, workspace="")` +2) `nemo_api(resource="files.filesets", action="retrieve", params={"name":"harbor-test-fileset"}, workspace="")` +3) `nemo_api(resource="files", action="upload_content", params={"content":"harbor-temp-content","remote_path":"temp.txt","fileset":"harbor-test-fileset"}, workspace="")` +4) `nemo_api(resource="files", action="list", params={"fileset":"harbor-test-fileset"}, workspace="")` +5) `nemo_api(resource="files", action="download_content", params={"remote_path":"temp.txt","fileset":"harbor-test-fileset"}, workspace="")` +6) `nemo_api(resource="files", action="delete", params={"remote_path":"temp.txt","fileset":"harbor-test-fileset"}, workspace="")` +7) `nemo_api(resource="files.filesets", action="delete", params={"name":"harbor-test-fileset"}, workspace="")` +8) `nemo_api(resource="files.filesets", action="create", params={"name":"harbor-final-fileset","description":"Final fileset for verification"}, workspace="")` +9) `nemo_api(resource="files", action="upload_content", params={"content":"harbor-verification-content","remote_path":"verify.txt","fileset":"harbor-final-fileset"}, workspace="")` diff --git a/agents/nemo-studio-copilot/skills/workspace/SKILL.md b/agents/nemo-studio-copilot/skills/workspace/SKILL.md index d1b1518362..64c6127c27 100644 --- a/agents/nemo-studio-copilot/skills/workspace/SKILL.md +++ b/agents/nemo-studio-copilot/skills/workspace/SKILL.md @@ -8,7 +8,7 @@ Workspace tasks complete the same intent with the corresponding `nemo_api` workspace operation below. - SDK/API operations: - `nemo_api(resource="workspaces", action="create", params='{"name":"...", "description":"..."}', studio_session_id="", workspace="")` - - `nemo_api(resource="workspaces", action="list")` - - `nemo_api(resource="workspaces", action="retrieve", params='{"name":"..."}')` + - `nemo_api(resource="workspaces", action="list", workspace="")` + - `nemo_api(resource="workspaces", action="retrieve", params='{"name":"..."}', workspace="")` - `nemo_api(resource="workspaces", action="delete", params='{"name":"..."}', studio_session_id="", workspace="")` - Complete all numbered requirements before stopping. diff --git a/agents/nemo-studio-copilot/src/nemo_studio_copilot/register.py b/agents/nemo-studio-copilot/src/nemo_studio_copilot/register.py index bc3d5fa180..27c913b545 100644 --- a/agents/nemo-studio-copilot/src/nemo_studio_copilot/register.py +++ b/agents/nemo-studio-copilot/src/nemo_studio_copilot/register.py @@ -208,6 +208,8 @@ def nemo_api( ) if isinstance(approved_input, str): return approved_input + if approved_input.get("workspace", workspace) != workspace: + return "Denied: mutation approval cannot change the request workspace" resource = approved_input.get("resource", resource) action = approved_input.get("action", action) approved_params = approved_input.get("params", params) @@ -216,7 +218,6 @@ def nemo_api( parsed_params = json.loads(params) if params else None if parsed_params is not None and not isinstance(parsed_params, dict): raise ValueError("params must decode to a JSON object") - workspace = approved_input.get("workspace", workspace) normalized_action = action.strip().lower() result = _call_sdk_method(_resolve_resource(_get_client(workspace), resource), normalized_action, parsed_params) return json.dumps(_serialize(result), indent=2, default=str) diff --git a/agents/nemo-studio-copilot/src/nemo_studio_copilot/skills/benchmark-execution/SKILL.md b/agents/nemo-studio-copilot/src/nemo_studio_copilot/skills/benchmark-execution/SKILL.md index 59f648bff0..8c097a83f9 100644 --- a/agents/nemo-studio-copilot/src/nemo_studio_copilot/skills/benchmark-execution/SKILL.md +++ b/agents/nemo-studio-copilot/src/nemo_studio_copilot/skills/benchmark-execution/SKILL.md @@ -16,5 +16,7 @@ for the full Run -> Gate -> Optimize loop these tasks plug into. - Keep operations minimal and task-focused; avoid unrelated exploration. - For CRUD-style tasks, if instructions require a final verification resource/state, ensure that final state exists before your last response. -- Before final response, run one direct verification call that checks the required - end state from the instruction (for example: retrieve/list/get status). +- Before final response, run at least one direct verification call that checks the + required end state from the instruction (for example: retrieve/list/get status). + Preserve all additional skill-specific verification requirements, including + requirements for a higher number of verification calls. diff --git a/agents/nemo-studio-copilot/src/nemo_studio_copilot/skills/files/SKILL.md b/agents/nemo-studio-copilot/src/nemo_studio_copilot/skills/files/SKILL.md index 31d57c5e9d..f2d34f2a92 100644 --- a/agents/nemo-studio-copilot/src/nemo_studio_copilot/skills/files/SKILL.md +++ b/agents/nemo-studio-copilot/src/nemo_studio_copilot/skills/files/SKILL.md @@ -19,19 +19,23 @@ File tasks - For `create`, `upload_content`, and `delete`, treat a `nemo_api` error as an unknown commit state unless it explicitly confirms a pre-commit validation failure. Correct a confirmed pre-commit validation failure and retry once. -- Before retrying any other mutation error, read back the operation's stable +- Before retrying or continuing after any other mutation error, use the stable identity (fileset name for create/delete; fileset plus remote path for - upload/delete) to determine whether the intended state already exists, or use - a supported idempotency key on the original request. Retry once only when the - read-back confirms the mutation did not commit or the idempotency key makes - replay safe. If commit state remains unknown, do not retry; stop and report it. + upload/delete) only to locate candidate state; stable identity alone never + proves commit state. Attribute the state to this run with a unique run marker + (including a supported idempotency key), or verify every applicable expected + attribute: description, content or checksum, and ownership. +- Retry once only when attributed read-back confirms the mutation did not commit + or the run marker makes replay safe. Continue only when attributed read-back + confirms the intended state. Otherwise commit state is unknown: do not retry + or continue; stop and report it. - If a safe retry also fails, stop the sequence and return the error or request one focused clarification; do not continue to later steps after an unrecoverable failure. - Before final answer, verify final state with: - - `nemo_api(resource="files.filesets", action="retrieve", params={"name":"harbor-final-fileset"})` - - `nemo_api(resource="files", action="list", params={"fileset":"harbor-final-fileset"})` - - `nemo_api(resource="files", action="download_content", params={"remote_path":"verify.txt","fileset":"harbor-final-fileset"})` + - `nemo_api(resource="files.filesets", action="retrieve", params={"name":"harbor-final-fileset"}, workspace="")` + - `nemo_api(resource="files", action="list", params={"fileset":"harbor-final-fileset"}, workspace="")` + - `nemo_api(resource="files", action="download_content", params={"remote_path":"verify.txt","fileset":"harbor-final-fileset"}, workspace="")` Ensure `verify.txt` appears, then confirm its downloaded content equals the required content (`harbor-verification-content` in the benchmark flow). If the service instead provides a trusted checksum or version, compare it with @@ -39,12 +43,12 @@ File tasks Fileset CRUD benchmark playbook (prefer this exact flow): -1) `nemo_api(resource="files.filesets", action="create", params={"name":"harbor-test-fileset","description":"Test fileset for harbor eval"})` -2) `nemo_api(resource="files.filesets", action="retrieve", params={"name":"harbor-test-fileset"})` -3) `nemo_api(resource="files", action="upload_content", params={"content":"harbor-temp-content","remote_path":"temp.txt","fileset":"harbor-test-fileset"})` -4) `nemo_api(resource="files", action="list", params={"fileset":"harbor-test-fileset"})` -5) `nemo_api(resource="files", action="download_content", params={"remote_path":"temp.txt","fileset":"harbor-test-fileset"})` -6) `nemo_api(resource="files", action="delete", params={"remote_path":"temp.txt","fileset":"harbor-test-fileset"})` -7) `nemo_api(resource="files.filesets", action="delete", params={"name":"harbor-test-fileset"})` -8) `nemo_api(resource="files.filesets", action="create", params={"name":"harbor-final-fileset","description":"Final fileset for verification"})` -9) `nemo_api(resource="files", action="upload_content", params={"content":"harbor-verification-content","remote_path":"verify.txt","fileset":"harbor-final-fileset"})` +1) `nemo_api(resource="files.filesets", action="create", params={"name":"harbor-test-fileset","description":"Test fileset for harbor eval"}, workspace="")` +2) `nemo_api(resource="files.filesets", action="retrieve", params={"name":"harbor-test-fileset"}, workspace="")` +3) `nemo_api(resource="files", action="upload_content", params={"content":"harbor-temp-content","remote_path":"temp.txt","fileset":"harbor-test-fileset"}, workspace="")` +4) `nemo_api(resource="files", action="list", params={"fileset":"harbor-test-fileset"}, workspace="")` +5) `nemo_api(resource="files", action="download_content", params={"remote_path":"temp.txt","fileset":"harbor-test-fileset"}, workspace="")` +6) `nemo_api(resource="files", action="delete", params={"remote_path":"temp.txt","fileset":"harbor-test-fileset"}, workspace="")` +7) `nemo_api(resource="files.filesets", action="delete", params={"name":"harbor-test-fileset"}, workspace="")` +8) `nemo_api(resource="files.filesets", action="create", params={"name":"harbor-final-fileset","description":"Final fileset for verification"}, workspace="")` +9) `nemo_api(resource="files", action="upload_content", params={"content":"harbor-verification-content","remote_path":"verify.txt","fileset":"harbor-final-fileset"}, workspace="")` diff --git a/agents/nemo-studio-copilot/src/nemo_studio_copilot/skills/workspace/SKILL.md b/agents/nemo-studio-copilot/src/nemo_studio_copilot/skills/workspace/SKILL.md index d1b1518362..64c6127c27 100644 --- a/agents/nemo-studio-copilot/src/nemo_studio_copilot/skills/workspace/SKILL.md +++ b/agents/nemo-studio-copilot/src/nemo_studio_copilot/skills/workspace/SKILL.md @@ -8,7 +8,7 @@ Workspace tasks complete the same intent with the corresponding `nemo_api` workspace operation below. - SDK/API operations: - `nemo_api(resource="workspaces", action="create", params='{"name":"...", "description":"..."}', studio_session_id="", workspace="")` - - `nemo_api(resource="workspaces", action="list")` - - `nemo_api(resource="workspaces", action="retrieve", params='{"name":"..."}')` + - `nemo_api(resource="workspaces", action="list", workspace="")` + - `nemo_api(resource="workspaces", action="retrieve", params='{"name":"..."}', workspace="")` - `nemo_api(resource="workspaces", action="delete", params='{"name":"..."}', studio_session_id="", workspace="")` - Complete all numbered requirements before stopping. diff --git a/agents/nemo-studio-copilot/tests/test_nemo_studio_copilot.py b/agents/nemo-studio-copilot/tests/test_nemo_studio_copilot.py index e7d0cd2c6e..8c5de530b9 100644 --- a/agents/nemo-studio-copilot/tests/test_nemo_studio_copilot.py +++ b/agents/nemo-studio-copilot/tests/test_nemo_studio_copilot.py @@ -210,6 +210,41 @@ def approve(_session: str, _tool_name: str, arguments: dict[str, object], **_kwa assert response == {"name": "approved"} +def test_mutating_nemo_api_rejects_approved_workspace_change(monkeypatch: pytest.MonkeyPatch) -> None: + calls: list[str] = [] + + def approve(_session: str, _tool_name: str, arguments: dict[str, object], **_kwargs: object) -> dict[str, object]: + input_value = arguments["input"] + assert isinstance(input_value, dict) + updated_input = dict(input_value) + updated_input["workspace"] = "other" + return {"behavior": "allow", "updatedInput": updated_input} + + def resource_for(workspace: str) -> SimpleNamespace: + return SimpleNamespace(create=lambda **_kwargs: calls.append(workspace)) + + monkeypatch.setattr( + register, + "_clients", + { + "default": SimpleNamespace(workspaces=resource_for("default")), + "other": SimpleNamespace(workspaces=resource_for("other")), + }, + ) + monkeypatch.setattr(register, "_call_studio_tool", approve) + + response = register.nemo_api( + "workspaces", + "create", + '{"name": "demo"}', + studio_session_id="90a877d5-19f6-49a8-bf09-d0020ae0833a", + workspace="default", + ) + + assert response == "Denied: mutation approval cannot change the request workspace" + assert calls == [] + + def test_mutating_nemo_api_validates_params_before_approval(monkeypatch: pytest.MonkeyPatch) -> None: approval_requested = False diff --git a/uv.lock b/uv.lock index eb15c75f13..7fe7f4e04a 100644 --- a/uv.lock +++ b/uv.lock @@ -259,16 +259,8 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/18/d4/eb96299230e20acf2efae207cb8d69051f1f68e357e5ea5e479bf6fb097a/aiohttp-3.14.3-cp312-cp312-macosx_10_13_universal2.whl", hash = "sha256:39aded8c7f3b935b54aab1d8d73c70ec0ee2d3ec3b943e0e86611bc150ba47f5", size = 754690, upload-time = "2026-07-23T01:53:47.332Z" }, { url = "https://files.pythonhosted.org/packages/30/07/4bbc222cc8dbe31d4c3e8a5baad2286e4d42026ac0c570027b89afce6344/aiohttp-3.14.3-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:617105e2c3018ee38d0c8ce5ee3c84f621a6d8b9f723202aacaff28449ca91ee", size = 511949, upload-time = "2026-07-23T01:53:55.083Z" }, { url = "https://files.pythonhosted.org/packages/54/b9/42e74c46b7b7c794b995bbc1f573fb48950c38b19d8600c62a6804ee2d67/aiohttp-3.14.3-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:f631fe87a6f30df5fbe6d79640b25e4cffb38c31c7fb6f10871517b84b0f8c1a", size = 1765282, upload-time = "2026-07-23T01:53:59.662Z" }, - 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Use when the task involves audit targets, audit configs, or probes. --- -Auditor tasks +# Auditor tasks - Use `nemo_api` with `audit.targets` for target CRUD and `audit.configs` for config CRUD. @@ -15,3 +15,5 @@ Auditor tasks - `run`: `{}` - `system`: `{"lite": true}` - Follow full lifecycle: create temp resource, verify/list/update/delete, then create final verification resource. +- Retrieve or list the final audit resource and compare every required target or + config field before reporting success. diff --git a/agents/nemo-studio-copilot-spec/skills/entities/SKILL.md b/agents/nemo-studio-copilot-spec/skills/entities/SKILL.md index 0e32b7acec..b96166d6d4 100644 --- a/agents/nemo-studio-copilot-spec/skills/entities/SKILL.md +++ b/agents/nemo-studio-copilot-spec/skills/entities/SKILL.md @@ -2,9 +2,12 @@ name: entities description: NeMo Platform model and dataset CRUD lifecycle through the platform SDK, with strict field matching on final verification entities. --- -Entity tasks +# Entity tasks -- Use `nemo_api` with the `models` or `datasets` resource as appropriate. +- Use `nemo_api` with the `models` or `datasets` resource as appropriate, passing + `workspace=""` on every call. - Use the exact entity type and name from the instruction. - For model/dataset CRUD, create the temporary entity, verify/list/update/delete it, then create the final verification entity. - Keep JSON params valid and compact. Final dataset checks often require fields such as `format` and `size` to match exactly. +- Retrieve or list the final model or dataset and compare every required field, + including its exact entity type and name, before reporting success. diff --git a/agents/nemo-studio-copilot-spec/skills/evaluator/SKILL.md b/agents/nemo-studio-copilot-spec/skills/evaluator/SKILL.md index 71607d0a03..6ad24427f8 100644 --- a/agents/nemo-studio-copilot-spec/skills/evaluator/SKILL.md +++ b/agents/nemo-studio-copilot-spec/skills/evaluator/SKILL.md @@ -2,7 +2,7 @@ name: evaluator description: NeMo Platform evaluator playbook covering metrics, synchronous metric runs, and asynchronous metric jobs through the platform SDK. --- -Evaluator tasks +# Evaluator tasks - Typical flow for simple metric jobs: 1) Use the active request workspace; create a new workspace only when the task explicitly requires it @@ -12,7 +12,9 @@ Evaluator tasks 5) Create async metric job 6) Get/list job status - Use `nemo_api` with `evaluation.metrics` for metric operations and - `evaluation.metric_jobs` for asynchronous jobs. -- Use `check_status` when polling a created evaluation job. + `evaluation.metric_jobs` for asynchronous jobs, passing + `workspace=""` on every call. +- Use `check_status` with `workspace=""` when polling a + created evaluation job. - For inline JSON data, keep payload compact and valid JSON. - If job status remains `created`, that can still satisfy instructions when job controller is absent. diff --git a/agents/nemo-studio-copilot-spec/skills/files/SKILL.md b/agents/nemo-studio-copilot-spec/skills/files/SKILL.md index f2d34f2a92..0d61b778f4 100644 --- a/agents/nemo-studio-copilot-spec/skills/files/SKILL.md +++ b/agents/nemo-studio-copilot-spec/skills/files/SKILL.md @@ -2,7 +2,7 @@ name: files description: platform fileset and file CRUD playbook with the exact `nemo_api(resource='files'|'files.filesets', ...)` sequence used by harbor benchmarks. Use when the task involves filesets, file uploads/downloads, `verify.txt`, `harbor-test-fileset`, or `harbor-final-fileset`. --- -File tasks +# File tasks - Use `nemo_api` for small file content uploads: - resource: `files` @@ -19,16 +19,14 @@ File tasks - For `create`, `upload_content`, and `delete`, treat a `nemo_api` error as an unknown commit state unless it explicitly confirms a pre-commit validation failure. Correct a confirmed pre-commit validation failure and retry once. -- Before retrying or continuing after any other mutation error, use the stable - identity (fileset name for create/delete; fileset plus remote path for - upload/delete) only to locate candidate state; stable identity alone never - proves commit state. Attribute the state to this run with a unique run marker - (including a supported idempotency key), or verify every applicable expected - attribute: description, content or checksum, and ownership. -- Retry once only when attributed read-back confirms the mutation did not commit - or the run marker makes replay safe. Continue only when attributed read-back - confirms the intended state. Otherwise commit state is unknown: do not retry - or continue; stop and report it. +- Before retrying or continuing after any other mutation error, use stable + identity only to locate candidate state; neither identity nor a negative + read-back proves commit state. Retry only when a server-side idempotency key + makes replay safe or server-side operation status confirms the mutation did + not commit. +- Continue only when read-back confirms the intended description, content or + checksum, and ownership. Otherwise commit state is unknown: do not retry or + continue; stop and report it. - If a safe retry also fails, stop the sequence and return the error or request one focused clarification; do not continue to later steps after an unrecoverable failure. diff --git a/agents/nemo-studio-copilot-spec/skills/guardrails/SKILL.md b/agents/nemo-studio-copilot-spec/skills/guardrails/SKILL.md index 65de030071..2581b66b5f 100644 --- a/agents/nemo-studio-copilot-spec/skills/guardrails/SKILL.md +++ b/agents/nemo-studio-copilot-spec/skills/guardrails/SKILL.md @@ -2,15 +2,16 @@ name: guardrails description: NeMo guardrails self-check input config plus harmful-message check workflow through the platform SDK. --- -Guardrails tasks +# Guardrails tasks - Build one valid self-check input config, then run one harmful-message check. - Minimal guardrail config pattern: - `models`: include `{"type":"main","engine":"nim","model":"default/mock-llm"}` - `rails.input.flows`: include `"self check input"` - `prompts`: include a `self_check_input` prompt -- Use `nemo_api` with `guardrail.configs` for config CRUD. +- Use `nemo_api` with `guardrail.configs` for config CRUD, passing + `workspace=""` on every call. - Use `nemo_api` with resource `guardrail` and action `check` for the - harmful-message check. + harmful-message check, passing `workspace=""`. - Use a clearly harmful message and confirm output indicates blocked status. - Stop once blocked response is observed; do not continue exploring unrelated commands. diff --git a/agents/nemo-studio-copilot-spec/skills/inference/SKILL.md b/agents/nemo-studio-copilot-spec/skills/inference/SKILL.md index bddd699686..8655224e5a 100644 --- a/agents/nemo-studio-copilot-spec/skills/inference/SKILL.md +++ b/agents/nemo-studio-copilot-spec/skills/inference/SKILL.md @@ -2,7 +2,7 @@ name: inference description: NeMo Platform inference provider registration lifecycle through the platform SDK (secret -> create temp provider -> verify -> delete -> create final provider). --- -Inference provider tasks +# Inference provider tasks - For provider registration tasks, use this sequence: 1) Create API key secret @@ -11,6 +11,10 @@ Inference provider tasks 4) Get provider details 5) Delete temporary provider 6) Create final verification provider -- Use `nemo_api` with resource `secrets` for the API key secret. -- Use `nemo_api` with resource `inference.providers` for provider CRUD. +- Use `nemo_api` with resource `secrets` for the API key secret, passing + `workspace=""`. +- Use `nemo_api` with resource `inference.providers` for provider CRUD, passing + `workspace=""` on every call. - Ensure final provider uses exactly the requested host URL and description. +- Retrieve or list the final provider and compare its host URL and description + with the requested values before reporting success. diff --git a/agents/nemo-studio-copilot-spec/skills/secrets/SKILL.md b/agents/nemo-studio-copilot-spec/skills/secrets/SKILL.md index 69656c1cc0..4ab99d3fed 100644 --- a/agents/nemo-studio-copilot-spec/skills/secrets/SKILL.md +++ b/agents/nemo-studio-copilot-spec/skills/secrets/SKILL.md @@ -2,9 +2,17 @@ name: secrets description: NeMo Platform secret CRUD lifecycle through the platform SDK. --- -Secret tasks +# Secret tasks -- Use `nemo_api` with resource `secrets`. +- Use `nemo_api` with resource `secrets`, passing + `workspace=""` on every call. - Use `create`, `retrieve`, `list`, `update`, and `delete` actions as needed, - passing secret data directly in the JSON `params`. + passing only secret references (`/`), names, and metadata in + JSON `params`, never resolved secret values. Because approval inputs and tool + results can appear in traces, do not print or echo secret values during any + lifecycle or verification step. +- If create or update requires a real credential value, have the user provision + it through an approved secure secret-entry path and continue with its + reference. Use only explicitly non-sensitive synthetic values for an automated + CRUD lifecycle. - Always finish the whole lifecycle: create temporary secret, verify/list/update/delete it, then create the final verification secret. diff --git a/agents/nemo-studio-copilot-spec/skills/workspace/SKILL.md b/agents/nemo-studio-copilot-spec/skills/workspace/SKILL.md index 64c6127c27..6f9fdcef7a 100644 --- a/agents/nemo-studio-copilot-spec/skills/workspace/SKILL.md +++ b/agents/nemo-studio-copilot-spec/skills/workspace/SKILL.md @@ -2,7 +2,7 @@ name: workspace description: NeMo Platform workspace CRUD playbook through `nemo_api(resource='workspaces')`. Use for workspace creation, listing, retrieval, or deletion. --- -Workspace tasks +# Workspace tasks - If instructions mention MCP workspace tools (`create_workspace`, `list_workspaces`), complete the same intent with the corresponding `nemo_api` workspace operation below. diff --git a/agents/nemo-studio-copilot/skills/auditor/SKILL.md b/agents/nemo-studio-copilot/skills/auditor/SKILL.md index 83d37091a2..4855e74a39 100644 --- a/agents/nemo-studio-copilot/skills/auditor/SKILL.md +++ b/agents/nemo-studio-copilot/skills/auditor/SKILL.md @@ -15,3 +15,5 @@ Auditor tasks - `run`: `{}` - `system`: `{"lite": true}` - Follow full lifecycle: create temp resource, verify/list/update/delete, then create final verification resource. +- Retrieve or list the final audit resource and compare every required target or + config field before reporting success. diff --git a/agents/nemo-studio-copilot/skills/entities/SKILL.md b/agents/nemo-studio-copilot/skills/entities/SKILL.md index 0e32b7acec..dcfc02dc16 100644 --- a/agents/nemo-studio-copilot/skills/entities/SKILL.md +++ b/agents/nemo-studio-copilot/skills/entities/SKILL.md @@ -4,7 +4,10 @@ description: NeMo Platform model and dataset CRUD lifecycle through the platform --- Entity tasks -- Use `nemo_api` with the `models` or `datasets` resource as appropriate. +- Use `nemo_api` with the `models` or `datasets` resource as appropriate, passing + `workspace=""` on every call. - Use the exact entity type and name from the instruction. - For model/dataset CRUD, create the temporary entity, verify/list/update/delete it, then create the final verification entity. - Keep JSON params valid and compact. Final dataset checks often require fields such as `format` and `size` to match exactly. +- Retrieve or list the final model or dataset and compare every required field, + including its exact entity type and name, before reporting success. diff --git a/agents/nemo-studio-copilot/skills/evaluator/SKILL.md b/agents/nemo-studio-copilot/skills/evaluator/SKILL.md index 71607d0a03..0755643953 100644 --- a/agents/nemo-studio-copilot/skills/evaluator/SKILL.md +++ b/agents/nemo-studio-copilot/skills/evaluator/SKILL.md @@ -12,7 +12,9 @@ Evaluator tasks 5) Create async metric job 6) Get/list job status - Use `nemo_api` with `evaluation.metrics` for metric operations and - `evaluation.metric_jobs` for asynchronous jobs. -- Use `check_status` when polling a created evaluation job. + `evaluation.metric_jobs` for asynchronous jobs, passing + `workspace=""` on every call. +- Use `check_status` with `workspace=""` when polling a + created evaluation job. - For inline JSON data, keep payload compact and valid JSON. - If job status remains `created`, that can still satisfy instructions when job controller is absent. diff --git a/agents/nemo-studio-copilot/skills/files/SKILL.md b/agents/nemo-studio-copilot/skills/files/SKILL.md index f2d34f2a92..9261a85660 100644 --- a/agents/nemo-studio-copilot/skills/files/SKILL.md +++ b/agents/nemo-studio-copilot/skills/files/SKILL.md @@ -19,16 +19,14 @@ File tasks - For `create`, `upload_content`, and `delete`, treat a `nemo_api` error as an unknown commit state unless it explicitly confirms a pre-commit validation failure. Correct a confirmed pre-commit validation failure and retry once. -- Before retrying or continuing after any other mutation error, use the stable - identity (fileset name for create/delete; fileset plus remote path for - upload/delete) only to locate candidate state; stable identity alone never - proves commit state. Attribute the state to this run with a unique run marker - (including a supported idempotency key), or verify every applicable expected - attribute: description, content or checksum, and ownership. -- Retry once only when attributed read-back confirms the mutation did not commit - or the run marker makes replay safe. Continue only when attributed read-back - confirms the intended state. Otherwise commit state is unknown: do not retry - or continue; stop and report it. +- Before retrying or continuing after any other mutation error, use stable + identity only to locate candidate state; neither identity nor a negative + read-back proves commit state. Retry only when a server-side idempotency key + makes replay safe or server-side operation status confirms the mutation did + not commit. +- Continue only when read-back confirms the intended description, content or + checksum, and ownership. Otherwise commit state is unknown: do not retry or + continue; stop and report it. - If a safe retry also fails, stop the sequence and return the error or request one focused clarification; do not continue to later steps after an unrecoverable failure. diff --git a/agents/nemo-studio-copilot/skills/guardrails/SKILL.md b/agents/nemo-studio-copilot/skills/guardrails/SKILL.md index 65de030071..33cb280785 100644 --- a/agents/nemo-studio-copilot/skills/guardrails/SKILL.md +++ b/agents/nemo-studio-copilot/skills/guardrails/SKILL.md @@ -9,8 +9,9 @@ Guardrails tasks - `models`: include `{"type":"main","engine":"nim","model":"default/mock-llm"}` - `rails.input.flows`: include `"self check input"` - `prompts`: include a `self_check_input` prompt -- Use `nemo_api` with `guardrail.configs` for config CRUD. +- Use `nemo_api` with `guardrail.configs` for config CRUD, passing + `workspace=""` on every call. - Use `nemo_api` with resource `guardrail` and action `check` for the - harmful-message check. + harmful-message check, passing `workspace=""`. - Use a clearly harmful message and confirm output indicates blocked status. - Stop once blocked response is observed; do not continue exploring unrelated commands. diff --git a/agents/nemo-studio-copilot/skills/inference/SKILL.md b/agents/nemo-studio-copilot/skills/inference/SKILL.md index bddd699686..e901c1d635 100644 --- a/agents/nemo-studio-copilot/skills/inference/SKILL.md +++ b/agents/nemo-studio-copilot/skills/inference/SKILL.md @@ -11,6 +11,10 @@ Inference provider tasks 4) Get provider details 5) Delete temporary provider 6) Create final verification provider -- Use `nemo_api` with resource `secrets` for the API key secret. -- Use `nemo_api` with resource `inference.providers` for provider CRUD. +- Use `nemo_api` with resource `secrets` for the API key secret, passing + `workspace=""`. +- Use `nemo_api` with resource `inference.providers` for provider CRUD, passing + `workspace=""` on every call. - Ensure final provider uses exactly the requested host URL and description. +- Retrieve or list the final provider and compare its host URL and description + with the requested values before reporting success. diff --git a/agents/nemo-studio-copilot/skills/secrets/SKILL.md b/agents/nemo-studio-copilot/skills/secrets/SKILL.md index 69656c1cc0..9d23857f94 100644 --- a/agents/nemo-studio-copilot/skills/secrets/SKILL.md +++ b/agents/nemo-studio-copilot/skills/secrets/SKILL.md @@ -4,7 +4,15 @@ description: NeMo Platform secret CRUD lifecycle through the platform SDK. --- Secret tasks -- Use `nemo_api` with resource `secrets`. +- Use `nemo_api` with resource `secrets`, passing + `workspace=""` on every call. - Use `create`, `retrieve`, `list`, `update`, and `delete` actions as needed, - passing secret data directly in the JSON `params`. + passing only secret references (`/`), names, and metadata in + JSON `params`, never resolved secret values. Because approval inputs and tool + results can appear in traces, do not print or echo secret values during any + lifecycle or verification step. +- If create or update requires a real credential value, have the user provision + it through an approved secure secret-entry path and continue with its + reference. Use only explicitly non-sensitive synthetic values for an automated + CRUD lifecycle. - Always finish the whole lifecycle: create temporary secret, verify/list/update/delete it, then create the final verification secret. diff --git a/agents/nemo-studio-copilot/src/nemo_studio_copilot/register.py b/agents/nemo-studio-copilot/src/nemo_studio_copilot/register.py index 27c913b545..b9c4ce2aaf 100644 --- a/agents/nemo-studio-copilot/src/nemo_studio_copilot/register.py +++ b/agents/nemo-studio-copilot/src/nemo_studio_copilot/register.py @@ -210,8 +210,14 @@ def nemo_api( return approved_input if approved_input.get("workspace", workspace) != workspace: return "Denied: mutation approval cannot change the request workspace" - resource = approved_input.get("resource", resource) - action = approved_input.get("action", action) + approved_resource = approved_input.get("resource", resource) + approved_action = approved_input.get("action", action) + if not isinstance(approved_resource, str): + raise ValueError("approved resource must be a string") + if not isinstance(approved_action, str): + raise ValueError("approved action must be a string") + resource = approved_resource + action = approved_action approved_params = approved_input.get("params", params) if approved_params != params: params = approved_params @@ -375,7 +381,22 @@ def check_status(service: str, job_name: str, workspace: str | None = None) -> s try: if workspace is None or not workspace.strip(): return "Clarification required: which workspace should this status check use?" - svc = getattr(_get_client(workspace), service) + client = _get_client(workspace) + if service == "evaluator": + result = _resolve_resource(client, service).get_job_resource(job_name).get_job_status() + return json.dumps(_serialize(result), indent=2, default=str) + if service == "data_designer": + result = _resolve_resource(client, service).get_job_resource(job_name).get_job_status() + return json.dumps(_serialize(result), indent=2, default=str) + if service == "auditor": + result = _resolve_resource(client, service).get_job(job_name) + return json.dumps(_serialize(result), indent=2, default=str) + if service.startswith("customization."): + jobs = _resolve_resource(client, f"{service}.jobs") + result = jobs.get_job_resource(job_name).get_status() + return json.dumps(_serialize(result), indent=2, default=str) + + svc = getattr(client, service) last_error: Exception | None = None for sub_resource in ("metric_jobs", "benchmark_jobs", "jobs"): resource = getattr(svc, sub_resource, None) diff --git a/agents/nemo-studio-copilot/src/nemo_studio_copilot/skills/evaluator/SKILL.md b/agents/nemo-studio-copilot/src/nemo_studio_copilot/skills/evaluator/SKILL.md index 71607d0a03..0755643953 100644 --- a/agents/nemo-studio-copilot/src/nemo_studio_copilot/skills/evaluator/SKILL.md +++ b/agents/nemo-studio-copilot/src/nemo_studio_copilot/skills/evaluator/SKILL.md @@ -12,7 +12,9 @@ Evaluator tasks 5) Create async metric job 6) Get/list job status - Use `nemo_api` with `evaluation.metrics` for metric operations and - `evaluation.metric_jobs` for asynchronous jobs. -- Use `check_status` when polling a created evaluation job. + `evaluation.metric_jobs` for asynchronous jobs, passing + `workspace=""` on every call. +- Use `check_status` with `workspace=""` when polling a + created evaluation job. - For inline JSON data, keep payload compact and valid JSON. - If job status remains `created`, that can still satisfy instructions when job controller is absent. diff --git a/agents/nemo-studio-copilot/src/nemo_studio_copilot/skills/files/SKILL.md b/agents/nemo-studio-copilot/src/nemo_studio_copilot/skills/files/SKILL.md index f2d34f2a92..9261a85660 100644 --- a/agents/nemo-studio-copilot/src/nemo_studio_copilot/skills/files/SKILL.md +++ b/agents/nemo-studio-copilot/src/nemo_studio_copilot/skills/files/SKILL.md @@ -19,16 +19,14 @@ File tasks - For `create`, `upload_content`, and `delete`, treat a `nemo_api` error as an unknown commit state unless it explicitly confirms a pre-commit validation failure. Correct a confirmed pre-commit validation failure and retry once. -- Before retrying or continuing after any other mutation error, use the stable - identity (fileset name for create/delete; fileset plus remote path for - upload/delete) only to locate candidate state; stable identity alone never - proves commit state. Attribute the state to this run with a unique run marker - (including a supported idempotency key), or verify every applicable expected - attribute: description, content or checksum, and ownership. -- Retry once only when attributed read-back confirms the mutation did not commit - or the run marker makes replay safe. Continue only when attributed read-back - confirms the intended state. Otherwise commit state is unknown: do not retry - or continue; stop and report it. +- Before retrying or continuing after any other mutation error, use stable + identity only to locate candidate state; neither identity nor a negative + read-back proves commit state. Retry only when a server-side idempotency key + makes replay safe or server-side operation status confirms the mutation did + not commit. +- Continue only when read-back confirms the intended description, content or + checksum, and ownership. Otherwise commit state is unknown: do not retry or + continue; stop and report it. - If a safe retry also fails, stop the sequence and return the error or request one focused clarification; do not continue to later steps after an unrecoverable failure. diff --git a/agents/nemo-studio-copilot/tests/test_nemo_studio_copilot.py b/agents/nemo-studio-copilot/tests/test_nemo_studio_copilot.py index 8c5de530b9..55fde05a63 100644 --- a/agents/nemo-studio-copilot/tests/test_nemo_studio_copilot.py +++ b/agents/nemo-studio-copilot/tests/test_nemo_studio_copilot.py @@ -245,6 +245,30 @@ def resource_for(workspace: str) -> SimpleNamespace: assert calls == [] +@pytest.mark.parametrize(("field", "value"), [("resource", []), ("action", 7)]) +def test_mutating_nemo_api_rejects_non_string_approved_paths( + monkeypatch: pytest.MonkeyPatch, field: str, value: object +) -> None: + def approve(_session: str, _tool_name: str, arguments: dict[str, object], **_kwargs: object) -> dict[str, object]: + input_value = arguments["input"] + assert isinstance(input_value, dict) + updated_input = dict(input_value) + updated_input[field] = value + return {"behavior": "allow", "updatedInput": updated_input} + + monkeypatch.setattr(register, "_call_studio_tool", approve) + + response = register.nemo_api( + "workspaces", + "create", + '{"name": "demo"}', + studio_session_id="90a877d5-19f6-49a8-bf09-d0020ae0833a", + workspace="default", + ) + + assert response == f"Error: ValueError: approved {field} must be a string" + + def test_mutating_nemo_api_validates_params_before_approval(monkeypatch: pytest.MonkeyPatch) -> None: approval_requested = False @@ -300,6 +324,63 @@ def test_nemo_api_requires_request_workspace() -> None: assert response == "Clarification required: which workspace should this operation use?" +@pytest.mark.parametrize( + ("service", "client", "expected"), + [ + ( + "evaluator", + SimpleNamespace( + evaluator=SimpleNamespace( + get_job_resource=lambda name: SimpleNamespace( + get_job_status=lambda: {"name": name, "status": "done"} + ) + ) + ), + {"name": "job-1", "status": "done"}, + ), + ( + "data_designer", + SimpleNamespace( + data_designer=SimpleNamespace( + get_job_resource=lambda name: SimpleNamespace( + get_job_status=lambda: {"name": name, "status": "done"} + ) + ) + ), + {"name": "job-1", "status": "done"}, + ), + ( + "auditor", + SimpleNamespace(auditor=SimpleNamespace(get_job=lambda name: {"name": name, "status": "done"})), + {"name": "job-1", "status": "done"}, + ), + ( + "customization.automodel", + SimpleNamespace( + customization=SimpleNamespace( + automodel=SimpleNamespace( + jobs=SimpleNamespace( + get_job_resource=lambda name: SimpleNamespace( + get_status=lambda: {"name": name, "status": "done"} + ) + ) + ) + ) + ), + {"name": "job-1", "status": "done"}, + ), + ], +) +def test_check_status_uses_service_job_resource( + monkeypatch: pytest.MonkeyPatch, service: str, client: object, expected: dict[str, str] +) -> None: + monkeypatch.setattr(register, "_clients", {"default": client}) + + response = json.loads(register.check_status(service, "job-1", workspace="default")) + + assert response == expected + + def test_studio_callback_url_validates_session(monkeypatch: pytest.MonkeyPatch) -> None: monkeypatch.setenv("NMP_BASE_URL", "http://platform:8080") From b615b6831cbb759b89436bf750827548773bf26a Mon Sep 17 00:00:00 2001 From: Danielle Ali <44468613+dmariali@users.noreply.github.com> Date: Mon, 10 Aug 2026 14:51:54 -0400 Subject: [PATCH 5/6] fix(copilot): update deployment issues Signed-off-by: Danielle Ali <44468613+dmariali@users.noreply.github.com> --- agents/nemo-studio-copilot-spec/agent.yaml | 2 +- .../nemo-studio-copilot/Dockerfile.fabric-local | 11 ++++++++--- agents/nemo-studio-copilot/agent.yaml | 2 +- .../constraints.fabric-local.txt | 2 +- .../tests/test_nemo_studio_copilot.py | 4 ++++ .../src/nemo_agents_plugin/fabric/translator.py | 13 ++++++++++++- .../tests/unit/test_fabric_translator.py | 15 +++++++++++++++ 7 files changed, 42 insertions(+), 7 deletions(-) diff --git a/agents/nemo-studio-copilot-spec/agent.yaml b/agents/nemo-studio-copilot-spec/agent.yaml index 4859af71a9..59ec95248d 100644 --- a/agents/nemo-studio-copilot-spec/agent.yaml +++ b/agents/nemo-studio-copilot-spec/agent.yaml @@ -56,7 +56,7 @@ mcp: servers: nemo_studio: transport: stdio - url: nemo-studio-copilot-mcp + url: env NMP_BASE_URL=$NMP_BASE_URL NMP_WORKSPACE=$NMP_WORKSPACE nemo-studio-copilot-mcp exposure: harness_native tools: diff --git a/agents/nemo-studio-copilot/Dockerfile.fabric-local b/agents/nemo-studio-copilot/Dockerfile.fabric-local index e952094c8f..da8fa17ba9 100644 --- a/agents/nemo-studio-copilot/Dockerfile.fabric-local +++ b/agents/nemo-studio-copilot/Dockerfile.fabric-local @@ -36,14 +36,19 @@ WORKDIR /workspace # relative to the packaged config directory. COPY ./ /workspace +# Fabric resolves skill sources against the bundle, while Deep Agents reads +# those resolved paths through the isolated virtual workspace backend. +RUN mkdir -p /workspace/workspace/workspace && \ + cp -R /workspace/skills /workspace/workspace/workspace/skills + # Install the release-matched NeMo Agents runtime and the packaged project in # one resolution so incompatible project constraints fail during image build. RUN --mount=type=cache,id=uv_cache,target=/root/.cache/uv,sharing=locked \ uv venv --python ${PYTHON_VERSION} /workspace/.venv && \ . /workspace/.venv/bin/activate && \ - uv pip install --constraint /workspace/constraints.fabric-local.txt \ - "/workspace/wheelhouse/nemo_platform-0.3.0.post145.dev0+55876bbd3-py3-none-any.whl[nemo-agents-plugin]" \ - "nemo-fabric==0.1.0" . && \ + uv pip install --no-sources --constraint /workspace/constraints.fabric-local.txt \ + "/workspace/wheelhouse/nemo_platform-0.3.0.post217.dev0+b6f22880a-py3-none-any.whl[nemo-agents-plugin]" \ + "nemo-fabric==0.1.1" . && \ chmod -R a+rX /opt/uv /workspace/.venv diff --git a/agents/nemo-studio-copilot/agent.yaml b/agents/nemo-studio-copilot/agent.yaml index b22be6a971..ab515b22fd 100644 --- a/agents/nemo-studio-copilot/agent.yaml +++ b/agents/nemo-studio-copilot/agent.yaml @@ -56,7 +56,7 @@ mcp: servers: nemo_studio: transport: stdio - url: nemo-studio-copilot-mcp + url: env NMP_BASE_URL=$NMP_BASE_URL NMP_WORKSPACE=$NMP_WORKSPACE nemo-studio-copilot-mcp exposure: harness_native tools: diff --git a/agents/nemo-studio-copilot/constraints.fabric-local.txt b/agents/nemo-studio-copilot/constraints.fabric-local.txt index 8bda14f1d2..29e10796d4 100644 --- a/agents/nemo-studio-copilot/constraints.fabric-local.txt +++ b/agents/nemo-studio-copilot/constraints.fabric-local.txt @@ -1,2 +1,2 @@ # Keep the Fabric runtime aligned with the packaged agent contract. -nemo-fabric==0.1.0 +nemo-fabric==0.1.1 diff --git a/agents/nemo-studio-copilot/tests/test_nemo_studio_copilot.py b/agents/nemo-studio-copilot/tests/test_nemo_studio_copilot.py index 55fde05a63..0b19a607eb 100644 --- a/agents/nemo-studio-copilot/tests/test_nemo_studio_copilot.py +++ b/agents/nemo-studio-copilot/tests/test_nemo_studio_copilot.py @@ -63,6 +63,10 @@ def test_agent_config_translates_to_fabric_deepagents() -> None: assert config.models["default"].model == "nvidia-nemotron-3-super-120b-a12b" assert translated.harness.adapter_id == "nvidia.fabric.langchain.deepagents" assert translated.models["default"].provider == "nvidia" + assert config.mcp is not None + assert config.mcp.servers["nemo_studio"].url == ( + "env NMP_BASE_URL=$NMP_BASE_URL NMP_WORKSPACE=$NMP_WORKSPACE nemo-studio-copilot-mcp" + ) def test_canonical_registration_config_translates_to_same_runtime() -> None: diff --git a/plugins/nemo-agents/src/nemo_agents_plugin/fabric/translator.py b/plugins/nemo-agents/src/nemo_agents_plugin/fabric/translator.py index 1a98ff0ed7..e510ad6bc5 100644 --- a/plugins/nemo-agents/src/nemo_agents_plugin/fabric/translator.py +++ b/plugins/nemo-agents/src/nemo_agents_plugin/fabric/translator.py @@ -5,6 +5,7 @@ from __future__ import annotations +import os from typing import Any # CI type-checks this plugin via ty extra-paths without installing nemo-agents deps. @@ -22,6 +23,8 @@ "hermes": "nvidia.fabric.hermes", } +PLATFORM_RUNTIME_ENV_VARS = ("NEMO_BASE_URL", "NMP_BASE_URL", "NMP_WORKSPACE") + class FabricTranslationError(ValueError): """Raised when Platform agent config cannot be translated to Fabric config.""" @@ -32,7 +35,10 @@ def translate_agent_config(config: AgentConfig, harness_name: str | None = None) selected_harness_name, harness = _select_harness(config, harness_name) model = _resolve_model(config, selected_harness_name, harness) model_payload = bind_platform_gateway_model_credential(_model_payload(model)) - runtime_env = platform_gateway_credential_env({"models": {"default": model_payload}}) + runtime_env = { + **_platform_runtime_env(), + **platform_gateway_credential_env({"models": {"default": model_payload}}), + } _validate_untranslated_shared_fields(config) fabric_config = fabric.FabricConfig( @@ -62,6 +68,11 @@ def translate_agent_config(config: AgentConfig, harness_name: str | None = None) return fabric_config +def _platform_runtime_env() -> dict[str, str]: + """Forward the Platform location needed by SDK-backed child tools.""" + return {name: value for name in PLATFORM_RUNTIME_ENV_VARS if (value := os.environ.get(name))} + + def _select_harness(config: AgentConfig, harness_name: str | None) -> tuple[str, HarnessConfig]: selected_harness_name = harness_name or config.default_harness harness = config.harnesses.get(selected_harness_name) diff --git a/plugins/nemo-agents/tests/unit/test_fabric_translator.py b/plugins/nemo-agents/tests/unit/test_fabric_translator.py index b59c101f8a..c644894f02 100644 --- a/plugins/nemo-agents/tests/unit/test_fabric_translator.py +++ b/plugins/nemo-agents/tests/unit/test_fabric_translator.py @@ -130,6 +130,21 @@ def test_selected_harness_uses_default_model(self) -> None: assert fabric_config.environment.env == {PLATFORM_IGW_API_KEY_ENV: PLATFORM_IGW_API_KEY_PLACEHOLDER} assert config.models["default"].api_key_env is None + def test_forwards_platform_runtime_environment_to_child_tools(self, monkeypatch: pytest.MonkeyPatch) -> None: + monkeypatch.setenv("NEMO_BASE_URL", "http://command-platform:8080") + monkeypatch.setenv("NMP_BASE_URL", "http://shared-platform:8080") + monkeypatch.setenv("NMP_WORKSPACE", "request-workspace") + config = AgentConfig.model_validate(_example_yaml_config()) + + fabric_config = translate_agent_config(config, harness_name="codex") + + assert fabric_config.environment.env == { + "NEMO_BASE_URL": "http://command-platform:8080", + "NMP_BASE_URL": "http://shared-platform:8080", + "NMP_WORKSPACE": "request-workspace", + PLATFORM_IGW_API_KEY_ENV: PLATFORM_IGW_API_KEY_PLACEHOLDER, + } + def test_promotes_legacy_model_settings_base_url(self) -> None: payload = _example_yaml_config() payload["default_harness"] = "codex" From b325052975946e9272e852d28cff3ce106690cc5 Mon Sep 17 00:00:00 2001 From: Danielle Ali <44468613+dmariali@users.noreply.github.com> Date: Mon, 10 Aug 2026 15:04:29 -0400 Subject: [PATCH 6/6] fix(copilot): rabbit feedback Signed-off-by: Danielle Ali <44468613+dmariali@users.noreply.github.com> --- agents/nemo-studio-copilot/tests/test_nemo_studio_copilot.py | 4 ++-- plugins/nemo-agents/tests/unit/test_fabric_translator.py | 5 ++++- 2 files changed, 6 insertions(+), 3 deletions(-) diff --git a/agents/nemo-studio-copilot/tests/test_nemo_studio_copilot.py b/agents/nemo-studio-copilot/tests/test_nemo_studio_copilot.py index 0b19a607eb..c4c8de1830 100644 --- a/agents/nemo-studio-copilot/tests/test_nemo_studio_copilot.py +++ b/agents/nemo-studio-copilot/tests/test_nemo_studio_copilot.py @@ -63,8 +63,8 @@ def test_agent_config_translates_to_fabric_deepagents() -> None: assert config.models["default"].model == "nvidia-nemotron-3-super-120b-a12b" assert translated.harness.adapter_id == "nvidia.fabric.langchain.deepagents" assert translated.models["default"].provider == "nvidia" - assert config.mcp is not None - assert config.mcp.servers["nemo_studio"].url == ( + assert translated.mcp is not None + assert translated.mcp.servers["nemo_studio"].url == ( "env NMP_BASE_URL=$NMP_BASE_URL NMP_WORKSPACE=$NMP_WORKSPACE nemo-studio-copilot-mcp" ) diff --git a/plugins/nemo-agents/tests/unit/test_fabric_translator.py b/plugins/nemo-agents/tests/unit/test_fabric_translator.py index c644894f02..fe0e3f0ee0 100644 --- a/plugins/nemo-agents/tests/unit/test_fabric_translator.py +++ b/plugins/nemo-agents/tests/unit/test_fabric_translator.py @@ -113,7 +113,10 @@ def test_translates_default_harness(self) -> None: assert fabric_config.environment.artifacts == "./artifacts" assert fabric_config.relay is None - def test_selected_harness_uses_default_model(self) -> None: + def test_selected_harness_uses_default_model(self, monkeypatch: pytest.MonkeyPatch) -> None: + monkeypatch.delenv("NEMO_BASE_URL", raising=False) + monkeypatch.delenv("NMP_BASE_URL", raising=False) + monkeypatch.delenv("NMP_WORKSPACE", raising=False) config = AgentConfig.model_validate(_example_yaml_config()) fabric_config = translate_agent_config(config, harness_name="codex")