From 624b4f5fe24f1fc78a37bfabd5b3654ba29ac06e Mon Sep 17 00:00:00 2001 From: tangym Date: Wed, 26 Aug 2026 07:54:02 +0000 Subject: [PATCH 01/18] fix(deps): refresh vulnerable dependency versions Update Python and frontend dependency locks to patched compatible versions while preserving the CrewAI and DSPy example integrations. Repair the unsatisfiable DSPy optional dependency range and document the remaining upstream advisories in the pull request. --- pyproject.toml | 23 +- uv.lock | 2948 ++++++++++++++++++++----------------- viewer/package-lock.json | 28 +- viewer/package.json | 5 +- website/package-lock.json | 241 ++- website/package.json | 3 +- 6 files changed, 1703 insertions(+), 1545 deletions(-) diff --git a/pyproject.toml b/pyproject.toml index 76282cb08..0a490f4df 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -57,12 +57,9 @@ langgraph = [ "langgraph>=1.1.8", ] dspy = [ - # Pinned for the incident-triage demo' - # optimize_with_gepa.ipynb notebooks, which use dspy.GEPA (Agrawal et al., - # arXiv:2507.19457). GEPA landed in DSPy ~2.7; cap at <3 until the API - # stabilizes. The four eval configs themselves do NOT import DSPy at - # runtime, so the base install works without this extra. - "dspy-ai>=2.7,<3", + # DSPy did not publish a 2.7 release. Keep the latest compatible 2.6 line + # until the aggregate CrewAI + Phoenix dependency set supports DSPy 3.x. + "dspy>=2.6.13,<2.7", ] analysis = [ "markdown-it-py>=3.0.0", @@ -98,7 +95,7 @@ examples = [ "autogen-agentchat>=0.7.5", "autogen-ext>=0.7.5", "crewai[azure-ai-inference]>=1.6.1", - "dspy>=2.6.13", + "dspy>=2.6.13,<2.7", "haystack-ai>=2.28.0", "instructor>=1.15.1", "langchain-mcp-adapters>=0.2.2", @@ -110,17 +107,11 @@ examples = [ "smolagents>=1.22.0", # Framework-specific OpenInference instrumentors used by the # examples/phoenix_auto_trace/* demos. `assert_ai.auto_trace.enable()` - # auto-loads every installed `openinference-instrumentation-*` package and a - # single version mismatch crashes the whole call, so the upper bounds below - # match the framework versions pinned above. The crewai instrumentor pin is - # held at 0.1.17 because every release >=0.1.18 requires `crewai>=1.9.0`, - # which would conflict with our `crewai[azure-ai-inference]>=1.6.1` pin and - # silently disable crewai instrumentation. Bump these together when bumping - # crewai (-> instrumentor 1.x) or dspy (>= 2.7). + # auto-loads every installed `openinference-instrumentation-*` package. "openinference-instrumentation-openai>=0.1.45", "openinference-instrumentation-litellm>=0.1.30", - "openinference-instrumentation-dspy>=0.1.19,<0.1.20", - "openinference-instrumentation-crewai>=0.1.17,<0.1.18", + "openinference-instrumentation-dspy>=0.1.41", + "openinference-instrumentation-crewai>=1.1.14", ] all = [ "assert-ai[otel,langgraph,analysis,examples,regression,azure-aad,acs]", diff --git a/uv.lock b/uv.lock index 8e1076b68..e376d21a7 100644 --- a/uv.lock +++ b/uv.lock @@ -8,7 +8,8 @@ resolution-markers = [ "python_full_version == '3.13.*' and sys_platform == 'win32'", "python_full_version < '3.13' and sys_platform == 'win32'", "python_full_version == '3.13.*' and sys_platform == 'emscripten'", - "python_full_version < '3.13' and sys_platform == 'emscripten'", + "python_full_version == '3.12.*' and sys_platform == 'emscripten'", + "python_full_version < '3.12' and sys_platform == 'emscripten'", "python_full_version == '3.13.*' and sys_platform != 'emscripten' and sys_platform 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Move framework examples and optional script tools into adjacent requirements files, split local embeddings from lightweight analysis, and update setup documentation and CI to use the new ownership boundaries. --- .claude/skills/run-assert-eval/SKILL.md | 13 +- .cursor/rules/assert.mdc | 4 +- .devcontainer/devcontainer.json | 2 +- .github/agents/designer.md | 2 +- .github/prompts/run-assert-eval.prompt.md | 2 +- .github/skills/ux-audit.md | 2 +- .github/workflows/regression.yml | 2 +- .github/workflows/science.yml | 1 + AGENTS.md | 6 +- CONTRIBUTING.md | 6 +- README.md | 6 +- assert_ai/analysis/README.md | 2 +- assert_ai/analysis/test_set_metrics.py | 3 +- docs/getting-started.md | 11 +- docs/guides/troubleshooting.md | 2 +- examples/README.md | 3 +- examples/azure_doc_qa/IMPROVEMENT_JOURNEY.md | 3 +- examples/azure_doc_qa/README.md | 3 +- examples/azure_doc_qa/requirements.txt | 4 + examples/bank_manager_agent_control/README.md | 3 +- .../bank_manager_agent_control/ci/README.md | 3 +- .../bank_manager_agent_control/docs/README.md | 6 +- .../requirements.txt | 9 + .../scripts/smoke_test.py | 3 +- examples/langgraph-foundry-hosted/README.md | 4 +- .../langgraph-foundry-hosted/requirements.txt | 1 + examples/phoenix_auto_trace/README.md | 4 +- examples/phoenix_auto_trace/requirements.txt | 2 + examples/science_research_agent/README.md | 2 +- examples/travel_planner_langgraph/README.md | 3 +- .../travel_planner_langgraph/requirements.txt | 3 + pyproject.toml | 46 +- scripts/README.md | 8 +- scripts/render_trade_off.py | 2 +- scripts/requirements.txt | 5 + uv.lock | 1707 +---------------- 36 files changed, 110 insertions(+), 1778 deletions(-) create mode 100644 examples/azure_doc_qa/requirements.txt create mode 100644 examples/bank_manager_agent_control/requirements.txt create mode 100644 examples/phoenix_auto_trace/requirements.txt create mode 100644 examples/travel_planner_langgraph/requirements.txt create mode 100644 scripts/requirements.txt diff --git a/.claude/skills/run-assert-eval/SKILL.md b/.claude/skills/run-assert-eval/SKILL.md index 919cfc229..9b2c05126 100644 --- a/.claude/skills/run-assert-eval/SKILL.md +++ b/.claude/skills/run-assert-eval/SKILL.md @@ -102,12 +102,13 @@ runs*, or *watch a live run*. ``` python -m pip install "assert-ai[otel]" ``` - Add route-specific extras as needed, for example `assert-ai[otel,langgraph]` - for LangGraph. `target.endpoint` needs `aiohttp`, which ships transitively via - `litellm`'s own dependency — no separate extra to install. Use - `pip install -e ".[otel,langgraph]"` **only** when the working directory is a - clone of the ASSERT repo itself; inside a customer repo it installs the wrong - package. + The target project owns its agent framework dependencies. For repository + examples, install the adjacent `requirements.txt`; for a customer project, + use that project's existing dependency manifest. `target.endpoint` needs + `aiohttp`, which ships transitively via `litellm`'s own dependency — no + separate extra to install. Use `pip install -e ".[otel]"` **only** when the + working directory is a clone of the ASSERT repo itself; inside a customer + repo it installs the wrong package. 2. **Clarity MCP server available** (needed only for Path A): the `clarity-agent` MCP tools (`run_clarity`, `write_protocol_document`, `record_failure`, diff --git a/.cursor/rules/assert.mdc b/.cursor/rules/assert.mdc index 37959c4d1..602632eb2 100644 --- a/.cursor/rules/assert.mdc +++ b/.cursor/rules/assert.mdc @@ -65,7 +65,9 @@ stepping with citations highlighted). Answer in chat for "what / why / which"; h ### Preconditions (check, don't assume) 1. **ASSERT installed**: verify `assert-ai --help` succeeds. If not, guide install: - `python -m pip install -e ".[otel,langgraph]"`. + `python -m pip install "assert-ai[otel]"`. The target project owns its agent + framework dependencies; repository examples declare them in adjacent + `requirements.txt` files. 2. **Clarity MCP server available** (needed only for Path A): the `clarity-agent` MCP tools (`run_clarity`, `write_protocol_document`, `record_failure`, `record_suggestion`, …) are callable. Clarity is the risk-discovery engine — the skill drives its real MCP tools, it does not reimplement diff --git a/.devcontainer/devcontainer.json b/.devcontainer/devcontainer.json index 09920c12b..a2535f2f3 100644 --- a/.devcontainer/devcontainer.json +++ b/.devcontainer/devcontainer.json @@ -1,7 +1,7 @@ { "name": "ASSERT", "image": "mcr.microsoft.com/devcontainers/python:1-3.12-bookworm", - "postCreateCommand": "python -m pip install --upgrade pip && python -m pip install -e \".[otel,langgraph,dev]\" && cp -n .env.example .env", + "postCreateCommand": "python -m pip install --upgrade pip uv && uv sync --group dev && uv pip install -r examples/travel_planner_langgraph/requirements.txt && cp -n .env.example .env", "forwardPorts": [ 6006 ], diff --git a/.github/agents/designer.md b/.github/agents/designer.md index 3bd0e0e4f..16c6dd003 100644 --- a/.github/agents/designer.md +++ b/.github/agents/designer.md @@ -6,7 +6,7 @@ Owns the customer-facing experience of the `responsibleai/ASSERT` documentation site, the bundled examples, and the local viewer. Runs structured UX audits against the golden path that new users walk through: -1. Install (`pip install -e ".[otel,langgraph]"` or equivalent) +1. Install (`pip install -e ".[otel]"` plus the selected example's `requirements.txt`, or equivalent) 2. Write or generate an eval spec (`assert-ai init` or hand-authored YAML) 3. Create or select a dataset (`pipeline.test_set`) 4. Run the evaluation (`assert-ai run --config ...`) diff --git a/.github/prompts/run-assert-eval.prompt.md b/.github/prompts/run-assert-eval.prompt.md index 8c18d7bf5..484b4f8c6 100644 --- a/.github/prompts/run-assert-eval.prompt.md +++ b/.github/prompts/run-assert-eval.prompt.md @@ -39,7 +39,7 @@ Copilot is for *answering questions* and *synthesis* — direct answers, failure ``` python -m pip install "assert-ai[otel]" ``` - Add route-specific extras as needed, for example `assert-ai[otel,langgraph]` for LangGraph. `target.endpoint` needs `aiohttp`, which ships transitively via `litellm`'s own dependency — no separate extra to install. Use `pip install -e ".[otel,langgraph]"` **only** when the working directory is a clone of the ASSERT repo itself; inside a customer repo it installs the wrong package. + The target project owns its agent framework dependencies. For repository examples, install the adjacent `requirements.txt`; for a customer project, use that project's existing dependency manifest. `target.endpoint` needs `aiohttp`, which ships transitively via `litellm`'s own dependency — no separate extra to install. Use `pip install -e ".[otel]"` **only** when the working directory is a clone of the ASSERT repo itself; inside a customer repo it installs the wrong package. 2. **Clarity MCP server available** (needed only for Path A): the `clarity-agent` MCP tools (`run_clarity`, `write_protocol_document`, `record_failure`, `record_suggestion`, …) are callable in this session. Clarity is the risk-discovery engine — the skill drives its real MCP tools, it does not reimplement it. If the tools are missing, the server is not wired up yet: offer `SETUP-CHECKLIST.md` (install `clarity-agent` with the `[mcp]` extra, run `clarity embed .` to generate `.vscode/mcp.json`, reload MCP servers) and confirm the LLM provider is configured (`clarity doctor` — Clarity supports GitHub Copilot, Anthropic, OpenAI, Azure AI, and Gemini). **This is not a blocker**: if the tools can't be made available, or the user would rather not set them up now, say so plainly and continue on Path B (Step 1b). Never strand the user on MCP setup when they came to measure something. diff --git a/.github/skills/ux-audit.md b/.github/skills/ux-audit.md index a3ce31bf4..7ce0d33c2 100644 --- a/.github/skills/ux-audit.md +++ b/.github/skills/ux-audit.md @@ -11,7 +11,7 @@ Use this skill before launch, after README or CLI changes, or when feedback sugg ## Golden path steps 1. **Install and verify the CLI** - - Setup: `python -m pip install -e ".[otel,langgraph]"` + - Setup: `python -m pip install -e ".[otel]"` and `python -m pip install -r examples/travel_planner_langgraph/requirements.txt` - ASSERT command: `assert-ai --help` 2. **Write an eval spec** - ASSERT command: `assert-ai init --model azure/gpt-5.4 --describe "A customer-support chatbot with order lookup and refund tools" -o eval_config.yaml` diff --git a/.github/workflows/regression.yml b/.github/workflows/regression.yml index 9c0efe2bc..03000951c 100644 --- a/.github/workflows/regression.yml +++ b/.github/workflows/regression.yml @@ -67,7 +67,7 @@ jobs: # CI install set has to include the demo's optional extras even though # core ASSERT doesn't need them. run: | - python -m pip install -e ".[dev,otel]" + python -m pip install -e ".[dev,otel,analysis,acs]" - name: Check the behavior library # Guards two things the reference library cannot enforce by itself: diff --git a/.github/workflows/science.yml b/.github/workflows/science.yml index 15b8b666c..1422454d2 100644 --- a/.github/workflows/science.yml +++ b/.github/workflows/science.yml @@ -93,6 +93,7 @@ jobs: run: | pip install uv uv pip install --system -e ".[all,dev]" + uv pip install --system -r examples/travel_planner_langgraph/requirements.txt - name: Start Phoenix collector # Run a real Phoenix server so localhost:4317 (OTLP gRPC) accepts the diff --git a/AGENTS.md b/AGENTS.md index 360a49c75..2c9884854 100644 --- a/AGENTS.md +++ b/AGENTS.md @@ -74,7 +74,8 @@ For preview customers, use `pip` in setup instructions: python -m venv .venv source .venv/bin/activate python -m pip install --upgrade pip -python -m pip install -e ".[otel,langgraph]" +python -m pip install -e ".[otel]" +python -m pip install -r examples/travel_planner_langgraph/requirements.txt cp .env.example .env # Create a config interactively, or use an existing one @@ -89,7 +90,8 @@ Use the PowerShell equivalent on Windows: python -m venv .venv .\.venv\Scripts\Activate.ps1 python -m pip install --upgrade pip -python -m pip install -e ".[otel,langgraph]" +python -m pip install -e ".[otel]" +python -m pip install -r examples/travel_planner_langgraph/requirements.txt Copy-Item .env.example .env # Create a config interactively, or use an existing one diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md index 09853f1b4..ce16ca3b3 100644 --- a/CONTRIBUTING.md +++ b/CONTRIBUTING.md @@ -19,7 +19,8 @@ cd ASSERT python -m venv .venv source .venv/bin/activate python -m pip install --upgrade pip -python -m pip install -e ".[otel,langgraph,dev]" +python -m pip install uv +uv sync --group dev cp .env.example .env ``` @@ -31,7 +32,8 @@ cd ASSERT python -m venv .venv .\.venv\Scripts\Activate.ps1 python -m pip install --upgrade pip -python -m pip install -e ".[otel,langgraph,dev]" +python -m pip install uv +uv sync --group dev Copy-Item .env.example .env ``` diff --git a/README.md b/README.md index 5eea8dc68..9dc88daca 100644 --- a/README.md +++ b/README.md @@ -68,7 +68,8 @@ Every eval starts from a risk, and you choose where it comes from. Clarity is re ASSERT needs **Python 3.11+**. If you want Clarity's discovery step, you also need **Python 3.12+** and an IDE with MCP support — VS Code + Copilot agent mode, Claude Code, or Cursor — because Clarity runs as an MCP server and can't be driven from a bare terminal. ```bash -pip install -e ".[otel,langgraph]" # install ASSERT +pip install -e ".[otel]" # install ASSERT + local trace collection +pip install -r examples/travel_planner_langgraph/requirements.txt cp .env.example .env # add your provider key assert-ai --help # verify ``` @@ -174,7 +175,8 @@ The same skill ships for three assistants, plus the workflows it follows: ```bash python -m pip install --upgrade pip # requires pip >= 24.1 -pip install -e ".[otel,langgraph]" # install +pip install -e ".[otel]" # install ASSERT + tracing +pip install -r examples/travel_planner_langgraph/requirements.txt cp .env.example .env # add your provider key assert-ai run --config examples/travel_planner_langgraph/evals/budget_overrun.yaml ``` diff --git a/assert_ai/analysis/README.md b/assert_ai/analysis/README.md index 13918df3f..9899162a4 100644 --- a/assert_ai/analysis/README.md +++ b/assert_ai/analysis/README.md @@ -37,4 +37,4 @@ The summary answers four questions about a suite of evaluation runs: ## Dependencies -`stats.py` requires numpy (for example, install the analysis extras with `python -m pip install -e ".[analysis]"`). The other modules use only the standard library. +`stats.py` requires NumPy (install `assert-ai[analysis]`). Local Hugging Face embeddings in `test_set_metrics.py` additionally require `assert-ai[embeddings]`; the OpenAI embedding backend only needs `analysis`. The other modules use only the standard library. diff --git a/assert_ai/analysis/test_set_metrics.py b/assert_ai/analysis/test_set_metrics.py index c6bcec8e3..68c8e4509 100644 --- a/assert_ai/analysis/test_set_metrics.py +++ b/assert_ai/analysis/test_set_metrics.py @@ -158,7 +158,8 @@ def embed_texts_hf(model: str, texts: List[str]) -> np.ndarray: return np_mod.zeros((0, 1)) if SentenceTransformer is None: raise RuntimeError( - "sentence_transformers not available; install it or use --embed-backend openai" + "sentence_transformers not available; install assert-ai[embeddings] " + "or use --embed-backend openai" ) st_model = SentenceTransformer(model) vecs = st_model.encode( diff --git a/docs/getting-started.md b/docs/getting-started.md index 0e6744ac1..54dfdb87c 100644 --- a/docs/getting-started.md +++ b/docs/getting-started.md @@ -20,7 +20,8 @@ bash (macOS / Linux): python -m venv .venv source .venv/bin/activate python -m pip install --upgrade pip -python -m pip install -e ".[otel,langgraph]" +python -m pip install -e ".[otel]" +python -m pip install -r examples/travel_planner_langgraph/requirements.txt cp .env.example .env ``` @@ -32,7 +33,8 @@ PowerShell (Windows): python -m venv .venv .\.venv\Scripts\Activate.ps1 python -m pip install --upgrade pip -python -m pip install -e ".[otel,langgraph]" +python -m pip install -e ".[otel]" +python -m pip install -r examples/travel_planner_langgraph/requirements.txt Copy-Item .env.example .env ``` @@ -80,7 +82,7 @@ artifacts/results/travel-planner-langgraph-v1/demo-1/ [![Open in GitHub Codespaces](https://github.com/codespaces/badge.svg)](https://codespaces.new/microsoft/ASSERT) -The repo includes a minimal dev container for the LangGraph quickstart. It installs `.[otel,langgraph,dev]`, copies `.env.example` to `.env` if needed, and forwards Phoenix on port `6006`. After container setup, add your provider credentials to `.env` and run the same `assert-ai run` command. +The repo includes a minimal dev container for the LangGraph quickstart. It installs the root development group plus `examples/travel_planner_langgraph/requirements.txt`, copies `.env.example` to `.env` if needed, and forwards Phoenix on port `6006`. After container setup, add your provider credentials to `.env` and run the same `assert-ai run` command. PowerShell (Windows) — full sequence: @@ -88,7 +90,8 @@ PowerShell (Windows) — full sequence: python -m venv .venv .\.venv\Scripts\Activate.ps1 python -m pip install --upgrade pip -python -m pip install -e ".[otel,langgraph]" +python -m pip install -e ".[otel]" +python -m pip install -r examples/travel_planner_langgraph/requirements.txt Copy-Item .env.example .env phoenix serve # optional diff --git a/docs/guides/troubleshooting.md b/docs/guides/troubleshooting.md index 262065529..27a7cd2bd 100644 --- a/docs/guides/troubleshooting.md +++ b/docs/guides/troubleshooting.md @@ -67,6 +67,6 @@ assert-ai results compare-suites / / ## 7. Environment-specific fixes -- macOS `litellm` install issue (`AttributeError: module 'litellm' has no attribute 'acompletion'`): some macOS security tooling can silently truncate the `litellm` wheel during extraction with `uv sync`. The `pip install -e ".[otel,langgraph]"` path above uses copy-based installs and avoids this. If you must use `uv`, grant your terminal Full Disk Access and run `xattr -cr .venv` to clear quarantine attributes. +- macOS `litellm` install issue (`AttributeError: module 'litellm' has no attribute 'acompletion'`): some macOS security tooling can silently truncate the `litellm` wheel during extraction with `uv sync`. The `pip install -e ".[otel]"` path above uses copy-based installs and avoids this. If you must use `uv`, grant your terminal Full Disk Access and run `xattr -cr .venv` to clear quarantine attributes. - Windows `UnicodeEncodeError` when running auto-trace demos: set `$env:PYTHONUTF8 = "1"` before `python -m examples.phoenix_auto_trace.travel_openai`. - Docker-backed Prompt Agent configs fail with `docker daemon unavailable`: ensure Docker Desktop is running for `examples/prompt_agents/health_assistant_sandbox.yaml` and `examples/prompt_agents/health_assistant_external.yaml`. diff --git a/examples/README.md b/examples/README.md index f507cf8e8..9c77f848d 100644 --- a/examples/README.md +++ b/examples/README.md @@ -10,7 +10,8 @@ can inspect tool calls, routing, and intermediate decisions. python -m venv .venv .\.venv\Scripts\Activate.ps1 python -m pip install --upgrade pip -python -m pip install -e ".[otel,langgraph]" +python -m pip install -e ".[otel]" +python -m pip install -r examples/travel_planner_langgraph/requirements.txt Copy-Item .env.example .env # Set AZURE_API_BASE and AZURE_API_KEY. diff --git a/examples/azure_doc_qa/IMPROVEMENT_JOURNEY.md b/examples/azure_doc_qa/IMPROVEMENT_JOURNEY.md index 30d602f67..1c4605fdf 100644 --- a/examples/azure_doc_qa/IMPROVEMENT_JOURNEY.md +++ b/examples/azure_doc_qa/IMPROVEMENT_JOURNEY.md @@ -430,7 +430,8 @@ resistance in multi-step conversations). ```bash # Install cd /path/to/ASSERT -pip install -e ".[otel,langgraph]" +pip install -e ".[otel]" +pip install -r examples/azure_doc_qa/requirements.txt cp .env.example .env # configure AZURE_API_BASE, AZURE_API_KEY # Run eval (one config per risk; this is the grounding suite) diff --git a/examples/azure_doc_qa/README.md b/examples/azure_doc_qa/README.md index a6858c1b1..4ed518bbe 100644 --- a/examples/azure_doc_qa/README.md +++ b/examples/azure_doc_qa/README.md @@ -59,7 +59,8 @@ Each risk gets its own suite under `evals/`, so the two are measured independent ```bash # From the repo root -python -m pip install -e ".[otel,langgraph]" +python -m pip install -e ".[otel]" +python -m pip install -r examples/azure_doc_qa/requirements.txt cp .env.example .env # set AZURE_API_BASE, AZURE_API_KEY, ASSERT_AZURE_DEPLOYMENT # Run eval with mock tools (offline, no MCP servers needed) diff --git a/examples/azure_doc_qa/requirements.txt b/examples/azure_doc_qa/requirements.txt new file mode 100644 index 000000000..ad9265fbe --- /dev/null +++ b/examples/azure_doc_qa/requirements.txt @@ -0,0 +1,4 @@ +langchain-core>=1.6.0 +langchain-mcp-adapters>=0.3.2 +langchain-openai>=1.6.0 +langgraph>=1.2.11 \ No newline at end of file diff --git a/examples/bank_manager_agent_control/README.md b/examples/bank_manager_agent_control/README.md index c9c41ad53..f63d2dc57 100644 --- a/examples/bank_manager_agent_control/README.md +++ b/examples/bank_manager_agent_control/README.md @@ -71,7 +71,8 @@ Policy Agent) binary on PATH. Install ASSERT with the extras this example uses: ```bash -pip install "assert-ai[acs,langgraph,otel,examples]" +pip install "assert-ai[acs,otel]" +pip install -r examples/bank_manager_agent_control/requirements.txt ``` (`acs` pulls the Agent Control Specification runtime; see diff --git a/examples/bank_manager_agent_control/ci/README.md b/examples/bank_manager_agent_control/ci/README.md index 233409e59..23cf8169d 100644 --- a/examples/bank_manager_agent_control/ci/README.md +++ b/examples/bank_manager_agent_control/ci/README.md @@ -11,7 +11,8 @@ fork of ASSERT. There, the banking agent simply does: ```bash -pip install "assert-ai[acs,langgraph,otel,examples]" +pip install "assert-ai[acs,otel]" +pip install -r examples/bank_manager_agent_control/requirements.txt ``` and adds an ASSERT safety-regression gate to CI. The gate replays a committed ASSERT run, diff --git a/examples/bank_manager_agent_control/docs/README.md b/examples/bank_manager_agent_control/docs/README.md index 6ed22f22e..d7015fb73 100644 --- a/examples/bank_manager_agent_control/docs/README.md +++ b/examples/bank_manager_agent_control/docs/README.md @@ -219,7 +219,8 @@ PowerShell (Windows): python -m venv .venv .\.venv\Scripts\Activate.ps1 python -m pip install --upgrade pip -python -m pip install -e ".[otel,langgraph,examples]" +python -m pip install -e ".[otel]" +python -m pip install -r examples/bank_manager_agent_control/requirements.txt ``` bash (macOS / Linux): @@ -228,7 +229,8 @@ bash (macOS / Linux): python -m venv .venv source .venv/bin/activate python -m pip install --upgrade pip -python -m pip install -e ".[otel,langgraph,examples]" +python -m pip install -e ".[otel]" +python -m pip install -r examples/bank_manager_agent_control/requirements.txt ``` ### 2. ACS via the `[acs]` extra diff --git a/examples/bank_manager_agent_control/requirements.txt b/examples/bank_manager_agent_control/requirements.txt new file mode 100644 index 000000000..92ef3acc7 --- /dev/null +++ b/examples/bank_manager_agent_control/requirements.txt @@ -0,0 +1,9 @@ +fastapi>=0.141.1 +azure-ai-contentunderstanding>=1.2.0b2 +langchain-azure-ai[hosting]>=1.2.4 +langchain-core>=1.6.0 +langchain-mcp-adapters>=0.3.2 +langchain-openai>=1.6.0 +langgraph>=1.2.11 +mcp>=1.29.1 +uvicorn>=0.46.0 \ No newline at end of file diff --git a/examples/bank_manager_agent_control/scripts/smoke_test.py b/examples/bank_manager_agent_control/scripts/smoke_test.py index ddca28673..e3ffda92a 100644 --- a/examples/bank_manager_agent_control/scripts/smoke_test.py +++ b/examples/bank_manager_agent_control/scripts/smoke_test.py @@ -6,7 +6,8 @@ - DEPS (needs mcp + langgraph + the agent stack): instantiates the two MCP servers and imports the agent module. Skips gracefully if deps are missing. -Run on the work laptop after `pip install -e ".[otel,langgraph,examples]"`: +Run after `pip install -e ".[otel]"` and +`pip install -r examples/bank_manager_agent_control/requirements.txt`: python examples/bank_manager_agent_control/smoke_test.py Expect all OFFLINE checks PASS and all DEPS checks PASS. """ diff --git a/examples/langgraph-foundry-hosted/README.md b/examples/langgraph-foundry-hosted/README.md index 8aba41eb1..4b7048fbd 100644 --- a/examples/langgraph-foundry-hosted/README.md +++ b/examples/langgraph-foundry-hosted/README.md @@ -68,8 +68,8 @@ langgraph-foundry-hosted/ - **Model deployment** in Foundry (e.g. `gpt-5.4`) - **Azure CLI** signed in: `az login` - **Azure Developer CLI** (`azd`) for deployment -- **`assert-ai`** installed (from the repo root: `pip install -e ".[otel,langgraph]"`) - to run the evaluation +- **`assert-ai`** installed from the repo root with `pip install -e ".[otel]"`; + this example's framework dependencies install from its `requirements.txt` ## Environment variables diff --git a/examples/langgraph-foundry-hosted/requirements.txt b/examples/langgraph-foundry-hosted/requirements.txt index be592f384..ff41615c8 100644 --- a/examples/langgraph-foundry-hosted/requirements.txt +++ b/examples/langgraph-foundry-hosted/requirements.txt @@ -1,4 +1,5 @@ langchain-azure-ai[hosting]>=1.2.4 +azure-ai-contentunderstanding>=1.2.0b2 azure-ai-projects azure-identity langchain diff --git a/examples/phoenix_auto_trace/README.md b/examples/phoenix_auto_trace/README.md index fe9310157..d1e7a16e3 100644 --- a/examples/phoenix_auto_trace/README.md +++ b/examples/phoenix_auto_trace/README.md @@ -83,8 +83,8 @@ travel_crewai.py -> CrewAI + 2-line instrumentation + multi-agent crew ```bash # From the repo root -python -m pip install -e ".[otel,examples]" -python -m pip install openai openinference-instrumentation-openai +python -m pip install -e ".[otel]" +python -m pip install -r examples/phoenix_auto_trace/requirements.txt # Optional: start Phoenix in a second terminal to browse traces phoenix serve # http://localhost:6006 diff --git a/examples/phoenix_auto_trace/requirements.txt b/examples/phoenix_auto_trace/requirements.txt new file mode 100644 index 000000000..e17b35507 --- /dev/null +++ b/examples/phoenix_auto_trace/requirements.txt @@ -0,0 +1,2 @@ +openai>=1.30.0 +openinference-instrumentation-openai>=0.1.45 \ No newline at end of file diff --git a/examples/science_research_agent/README.md b/examples/science_research_agent/README.md index 0773f0aa4..6a99a53a6 100644 --- a/examples/science_research_agent/README.md +++ b/examples/science_research_agent/README.md @@ -68,7 +68,7 @@ rule-breaking. From the repo root: ```bash -python -m pip install -e ".[otel,examples]" +python -m pip install -e ".[otel]" cp examples/science_research_agent/.env.example examples/science_research_agent/.env # Edit the .env: AZURE_API_KEY, AZURE_API_BASE, and TAVILY_API_KEY are required. diff --git a/examples/travel_planner_langgraph/README.md b/examples/travel_planner_langgraph/README.md index 85658e42d..e9635193f 100644 --- a/examples/travel_planner_langgraph/README.md +++ b/examples/travel_planner_langgraph/README.md @@ -109,7 +109,8 @@ From the repo root: python -m venv .venv source .venv/bin/activate python -m pip install --upgrade pip -python -m pip install -e ".[otel,langgraph]" +python -m pip install -e ".[otel]" +python -m pip install -r examples/travel_planner_langgraph/requirements.txt cp .env.example .env # Edit .env with AZURE_API_BASE and AZURE_API_KEY. phoenix serve # optional trace UI diff --git a/examples/travel_planner_langgraph/requirements.txt b/examples/travel_planner_langgraph/requirements.txt new file mode 100644 index 000000000..0c64072f9 --- /dev/null +++ b/examples/travel_planner_langgraph/requirements.txt @@ -0,0 +1,3 @@ +langchain-core>=1.6.0 +langchain-openai>=1.6.0 +langgraph>=1.2.11 \ No newline at end of file diff --git a/pyproject.toml b/pyproject.toml index b110f9731..ba00c0e1f 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -32,7 +32,6 @@ classifiers = [ dependencies = [ "click>=8.0", "litellm>=1.84.1,<2", - "matplotlib>=3.10.8", "opentelemetry-api>=1.39.0", "opentelemetry-sdk>=1.39.0", "pydantic>=2.0", @@ -51,28 +50,13 @@ otel = [ "arize-phoenix-otel>=0.15.0", "openinference-instrumentation-langchain>=0.1.62", ] -langgraph = [ - "langchain-core>=1.6.0", - "langchain-openai>=1.1.14", - "langgraph>=1.1.8", -] -dspy = [ - "dspy>=3.0.4,<4", -] analysis = [ - "markdown-it-py>=3.0.0", "numpy>=2.0.0", "openai>=1.30.0", - "openpyxl>=3.1.5", "pandas>=2.2.0", - "requests>=2.33.0", - "scikit-learn>=1.5.0", - "seaborn>=0.13.0", - "sentence-transformers>=3.0.0", ] -regression = [ - "scipy>=1.11.0", - "numpy>=2.0.0", +embeddings = [ + "sentence-transformers>=3.0.0", ] # Optional Entra ID / Managed Identity auth for Azure OpenAI calls. # Lets users on `az login`, system-assigned MI, or user-assigned MI skip @@ -89,29 +73,8 @@ acs = [ "acs-generator>=0.3.1b0", "agent-control-specification>=0.3.1b0", ] -examples = [ - "autogen-agentchat>=0.7.5", - "autogen-ext>=0.7.5", - "dspy>=3.0.4,<4", - "haystack-ai>=2.28.0", - "instructor>=1.15.1", - "langchain-mcp-adapters>=0.2.2", - "llama-index>=0.14.21", - "llama-index-core>=0.14.21", - "llama-index-llms-openai>=0.7.5", - "openai-agents>=0.14.5", - "pydantic-ai>=0.8.1", - "smolagents>=1.22.0", - # Framework-specific OpenInference instrumentors used by the - # examples/phoenix_auto_trace/* demos. `assert_ai.auto_trace.enable()` - # auto-loads every installed `openinference-instrumentation-*` package. - "openinference-instrumentation-openai>=0.1.45", - "openinference-instrumentation-litellm>=0.1.30", - "openinference-instrumentation-dspy>=0.1.41", - "openinference-instrumentation-crewai>=1.1.14", -] all = [ - "assert-ai[otel,langgraph,analysis,examples,regression,azure-aad,acs]", + "assert-ai[otel,analysis,embeddings,azure-aad,acs]", ] dev = [ "pytest>=9.0.3", @@ -144,7 +107,8 @@ include-package-data = true [dependency-groups] dev = [ "pytest>=9.0.3", - "assert-ai[otel,langgraph,examples]", + "pytest-timeout>=2.2.0", + "assert-ai[otel,analysis,acs]", ] [tool.setuptools.packages.find] diff --git a/scripts/README.md b/scripts/README.md index c569c7865..b76926c41 100644 --- a/scripts/README.md +++ b/scripts/README.md @@ -2,6 +2,12 @@ Run scripts in this directory with `python ...` from the repo root so they see the project package and pinned dependencies. +Install the optional script dependencies before using chart, Excel export, or failure-prediction commands: + +```bash +python -m pip install -r scripts/requirements.txt +``` + ## Seed sampling Test-set stratification and generation run through `assert-ai run` now. Start from @@ -58,7 +64,7 @@ python scripts/turn_checkpoint_judge.py \ ## `export_suite_results.py` -This script consolidates all runs in one suite into flat review tables under `artifacts/results//exports/`. It reads the suite artifacts plus each run's `manifest.json`, `inference_set.jsonl`, and `scores.jsonl`, then derives the relevant-node summary directly from `scores.jsonl` and the suite `taxonomy.json`. `--format csv` writes `runs.csv`, `test_set.csv`, `conversations.csv`, `scores.csv`, and `relevant_nodes.csv`. `--format excel` writes `suite_results.xlsx`. `--format html` writes `suite_results.html`. If you omit `--format`, the script writes CSV only. Excel export requires `python -m pip install openpyxl`. +This script consolidates all runs in one suite into flat review tables under `artifacts/results//exports/`. It reads the suite artifacts plus each run's `manifest.json`, `inference_set.jsonl`, and `scores.jsonl`, then derives the relevant-node summary directly from `scores.jsonl` and the suite `taxonomy.json`. `--format csv` writes `runs.csv`, `test_set.csv`, `conversations.csv`, `scores.csv`, and `relevant_nodes.csv`. `--format excel` writes `suite_results.xlsx`. `--format html` writes `suite_results.html`. If you omit `--format`, the script writes CSV only. Excel export uses OpenPyXL from `scripts/requirements.txt`. ```bash python scripts/export_suite_results.py \ diff --git a/scripts/render_trade_off.py b/scripts/render_trade_off.py index 389048289..51d0bad91 100644 --- a/scripts/render_trade_off.py +++ b/scripts/render_trade_off.py @@ -35,7 +35,7 @@ from typing import Iterable -# matplotlib is a base dependency of assert-ai (see pyproject.toml). +# Install optional script dependencies from scripts/requirements.txt. import matplotlib matplotlib.use("Agg") diff --git a/scripts/requirements.txt b/scripts/requirements.txt new file mode 100644 index 000000000..4d00045d7 --- /dev/null +++ b/scripts/requirements.txt @@ -0,0 +1,5 @@ +matplotlib>=3.10.8 +numpy>=2.0.0 +openpyxl>=3.1.5 +requests>=2.33.0 +scikit-learn>=1.5.0 \ No newline at end of file diff --git a/uv.lock b/uv.lock index a83805079..b03b55b69 100644 --- a/uv.lock +++ b/uv.lock @@ -272,15 +272,6 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/38/0e/27be9fdef66e72d64c0cdc3cc2823101b80585f8119b5c112c2e8f5f7dab/anyio-4.12.1-py3-none-any.whl", hash = "sha256:d405828884fc140aa80a3c667b8beed277f1dfedec42ba031bd6ac3db606ab6c", size = 113592, upload-time = "2026-01-06T11:45:19.497Z" }, ] -[[package]] -name = "argcomplete" -version = "3.6.3" -source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/38/61/0b9ae6399dd4a58d8c1b1dc5a27d6f2808023d0b5dd3104bb99f45a33ff6/argcomplete-3.6.3.tar.gz", hash = "sha256:62e8ed4fd6a45864acc8235409461b72c9a28ee785a2011cc5eb78318786c89c", size = 73754, upload-time = "2025-10-20T03:33:34.741Z" } -wheels = [ - { url = "https://files.pythonhosted.org/packages/74/f5/9373290775639cb67a2fce7f629a1c240dce9f12fe927bc32b2736e16dfc/argcomplete-3.6.3-py3-none-any.whl", hash = "sha256:f5007b3a600ccac5d25bbce33089211dfd49eab4a7718da3f10e3082525a92ce", size = 43846, upload-time = "2025-10-20T03:33:33.021Z" }, -] - [[package]] name = "arize-phoenix" version = "19.17.0" @@ -407,7 +398,6 @@ source = { editable = "." } dependencies = [ { name = "click" }, { name = "litellm" }, - { name = "matplotlib" }, { name = "opentelemetry-api" }, { name = "opentelemetry-sdk" }, { name = "pydantic" }, @@ -427,48 +417,17 @@ all = [ { name = "agent-control-specification" }, { name = "arize-phoenix" }, { name = "arize-phoenix-otel" }, - { name = "autogen-agentchat" }, - { name = "autogen-ext" }, { name = "azure-identity" }, - { name = "dspy" }, - { name = "haystack-ai" }, - { name = "instructor" }, - { name = "langchain-core" }, - { name = "langchain-mcp-adapters" }, - { name = "langchain-openai" }, - { name = "langgraph" }, - { name = "llama-index" }, - { name = "llama-index-core" }, - { name = "llama-index-llms-openai" }, - { name = "markdown-it-py" }, { name = "numpy" }, { name = "openai" }, - { name = "openai-agents" }, - { name = "openinference-instrumentation-crewai" }, - { name = "openinference-instrumentation-dspy" }, { name = "openinference-instrumentation-langchain" }, - { name = "openinference-instrumentation-litellm" }, - { name = "openinference-instrumentation-openai" }, - { name = "openpyxl" }, { name = "pandas" }, - { name = "pydantic-ai" }, - { name = "requests" }, - { name = "scikit-learn" }, - { name = "scipy" }, - { name = "seaborn" }, { name = "sentence-transformers" }, - { name = "smolagents" }, ] analysis = [ - { name = "markdown-it-py" }, { name = "numpy" }, { name = "openai" }, - { name = "openpyxl" }, { name = "pandas" }, - { name = "requests" }, - { name = "scikit-learn" }, - { name = "seaborn" }, - { name = "sentence-transformers" }, ] azure-aad = [ { name = "azure-identity" }, @@ -477,46 +436,20 @@ dev = [ { name = "pytest" }, { name = "pytest-timeout" }, ] -dspy = [ - { name = "dspy" }, -] -examples = [ - { name = "autogen-agentchat" }, - { name = "autogen-ext" }, - { name = "dspy" }, - { name = "haystack-ai" }, - { name = "instructor" }, - { name = "langchain-mcp-adapters" }, - { name = "llama-index" }, - { name = "llama-index-core" }, - { name = "llama-index-llms-openai" }, - { name = "openai-agents" }, - { name = "openinference-instrumentation-crewai" }, - { name = "openinference-instrumentation-dspy" }, - { name = "openinference-instrumentation-litellm" }, - { name = "openinference-instrumentation-openai" }, - { name = "pydantic-ai" }, - { name = "smolagents" }, -] -langgraph = [ - { name = "langchain-core" }, - { name = "langchain-openai" }, - { name = "langgraph" }, +embeddings = [ + { name = "sentence-transformers" }, ] otel = [ { name = "arize-phoenix" }, { name = "arize-phoenix-otel" }, { name = "openinference-instrumentation-langchain" }, ] -regression = [ - { name = "numpy" }, - { name = "scipy" }, -] [package.dev-dependencies] dev = [ - { name = "assert-ai", extra = ["examples", "langgraph", "otel"] }, + { name = "assert-ai", extra = ["acs", "analysis", "otel"] }, { name = "pytest" }, + { name = "pytest-timeout" }, ] [package.metadata] @@ -525,59 +458,32 @@ requires-dist = [ { name = "agent-control-specification", marker = "extra == 'acs'", specifier = ">=0.3.1b0" }, { name = "arize-phoenix", marker = "extra == 'otel'", specifier = ">=15.0.0,<19.18.0" }, { name = "arize-phoenix-otel", marker = "extra == 'otel'", specifier = ">=0.15.0" }, - { name = "assert-ai", extras = ["otel", "langgraph", "analysis", "examples", "regression", "azure-aad", "acs"], marker = "extra == 'all'" }, - { name = "autogen-agentchat", marker = "extra == 'examples'", specifier = ">=0.7.5" }, - { name = "autogen-ext", marker = "extra == 'examples'", specifier = ">=0.7.5" }, + { name = "assert-ai", extras = ["otel", "analysis", "embeddings", "azure-aad", "acs"], marker = "extra == 'all'" }, { name = "azure-identity", marker = "extra == 'azure-aad'", specifier = ">=1.19.0" }, { name = "click", specifier = ">=8.0" }, - 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Version 0.4 removes GenerationEngine and breaks ACS test collection. --- pyproject.toml | 2 +- uv.lock | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/pyproject.toml b/pyproject.toml index ba00c0e1f..8d9a500d1 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -70,7 +70,7 @@ acs = [ # `acs-generator` (pure Python) synthesizes the manifest + Rego from a # guardrail prompt; `agent-control-specification` is the native SDK used to # round-trip validate the generated policy and to wrap a guarded target. - "acs-generator>=0.3.1b0", + "acs-generator>=0.3.1b0,<0.4", "agent-control-specification>=0.3.1b0", ] all = [ diff --git a/uv.lock b/uv.lock index b03b55b69..27637935f 100644 --- a/uv.lock +++ b/uv.lock @@ -454,7 +454,7 @@ dev = [ [package.metadata] requires-dist = [ - { name = "acs-generator", marker = "extra == 'acs'", specifier = ">=0.3.1b0" }, + { name = "acs-generator", marker = "extra == 'acs'", specifier = ">=0.3.1b0,<0.4" }, { name = "agent-control-specification", marker = "extra == 'acs'", specifier = ">=0.3.1b0" }, { name = "arize-phoenix", marker = "extra == 'otel'", specifier = ">=15.0.0,<19.18.0" }, { name = "arize-phoenix-otel", marker = "extra == 'otel'", specifier = ">=0.15.0" }, From 301c1d29eeb59cd1640ff1daf218bbbafd118220 Mon Sep 17 00:00:00 2001 From: tangym Date: Wed, 26 Aug 2026 22:52:53 +0000 Subject: [PATCH 05/18] fix(deps): align development and CI install scopes Keep the pip dev extra and uv development group equivalent while removing the Phoenix server stack from general regression tests. Install tracing explicitly in the travel-planner devcontainer and science gate, whose clean-environment imports and focused tests pass. --- .devcontainer/devcontainer.json | 2 +- .github/workflows/regression.yml | 12 +++++------- .github/workflows/science.yml | 9 +++++++-- pyproject.toml | 5 +++-- uv.lock | 10 ++++++++-- 5 files changed, 24 insertions(+), 14 deletions(-) diff --git a/.devcontainer/devcontainer.json b/.devcontainer/devcontainer.json index a2535f2f3..3b2c18932 100644 --- a/.devcontainer/devcontainer.json +++ b/.devcontainer/devcontainer.json @@ -1,7 +1,7 @@ { "name": "ASSERT", "image": "mcr.microsoft.com/devcontainers/python:1-3.12-bookworm", - "postCreateCommand": "python -m pip install --upgrade pip uv && uv sync --group dev && uv pip install -r examples/travel_planner_langgraph/requirements.txt && cp -n .env.example .env", + "postCreateCommand": "python -m pip install --upgrade pip uv && uv sync --group dev --extra otel && uv pip install -r examples/travel_planner_langgraph/requirements.txt && cp -n .env.example .env", "forwardPorts": [ 6006 ], diff --git a/.github/workflows/regression.yml b/.github/workflows/regression.yml index 03000951c..6016232b7 100644 --- a/.github/workflows/regression.yml +++ b/.github/workflows/regression.yml @@ -60,14 +60,12 @@ jobs: cache-dependency-path: viewer/package-lock.json - name: Install Python dependencies - # The `otel` extra is required because tests/test_incident_triage_smoke.py - # imports examples/incident_triage_agent/agent.py, which imports - # opentelemetry at module load time (target.trace.backend: otel). Demo - # examples like that one ship as part of the unit-test surface, so the - # CI install set has to include the demo's optional extras even though - # core ASSERT doesn't need them. + # The dev extra includes the test runner plus analysis and ACS + # dependencies exercised by the full unit-test suite. OpenTelemetry's + # API and SDK are base ASSERT dependencies, so the Phoenix server extra + # is not needed here. run: | - python -m pip install -e ".[dev,otel,analysis,acs]" + python -m pip install -e ".[dev]" - name: Check the behavior library # Guards two things the reference library cannot enforce by itself: diff --git a/.github/workflows/science.yml b/.github/workflows/science.yml index 1422454d2..60f69ee96 100644 --- a/.github/workflows/science.yml +++ b/.github/workflows/science.yml @@ -31,6 +31,8 @@ on: - 'scripts/regression_*.py' - 'tests/regression/**' - 'tests/test_regression_*.py' + - 'examples/travel_planner_langgraph/**' + - 'pyproject.toml' - '.github/workflows/science.yml' schedule: # Daily regression sentinel on main. 12:00 UTC is before the US workday. @@ -70,7 +72,7 @@ jobs: - name: Install deps run: | pip install uv - uv pip install --system -e ".[dev]" + uv pip install --system -e . pytest - name: Run regression module unit tests run: pytest tests/test_regression_metrics.py tests/test_regression_decision.py tests/test_regression_runner.py -x -q @@ -92,7 +94,10 @@ jobs: - name: Install deps run: | pip install uv - uv pip install --system -e ".[all,dev]" + # The gate runs the flagship LangGraph target. ASSERT owns tracing; + # the target's LangGraph, LangChain Core, and model adapter versions + # are declared by the example requirements file. + uv pip install --system -e ".[otel]" uv pip install --system -r examples/travel_planner_langgraph/requirements.txt - name: Start Phoenix collector diff --git a/pyproject.toml b/pyproject.toml index 8d9a500d1..e5041c0b5 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -79,6 +79,7 @@ all = [ dev = [ "pytest>=9.0.3", "pytest-timeout>=2.2.0", + "assert-ai[analysis,acs]", ] [project.scripts] @@ -106,9 +107,9 @@ include-package-data = true [dependency-groups] dev = [ - "pytest>=9.0.3", + "pytest>=9.0.3", "pytest-timeout>=2.2.0", - "assert-ai[otel,analysis,acs]", + "assert-ai[analysis,acs]", ] [tool.setuptools.packages.find] diff --git a/uv.lock b/uv.lock index 27637935f..653c21e6e 100644 --- a/uv.lock +++ b/uv.lock @@ -433,6 +433,11 @@ azure-aad = [ { name = "azure-identity" }, ] dev = [ + { name = "acs-generator" }, + { name = "agent-control-specification" }, + { name = "numpy" }, + { name = "openai" }, + { name = "pandas" }, { name = "pytest" }, { name = "pytest-timeout" }, ] @@ -447,7 +452,7 @@ otel = [ [package.dev-dependencies] dev = [ - { name = "assert-ai", extra = ["acs", "analysis", "otel"] }, + { name = "assert-ai", extra = ["acs", "analysis"] }, { name = "pytest" }, { name = "pytest-timeout" }, ] @@ -458,6 +463,7 @@ requires-dist = [ { name = "agent-control-specification", marker = "extra == 'acs'", specifier = ">=0.3.1b0" }, { name = "arize-phoenix", marker = "extra == 'otel'", specifier = ">=15.0.0,<19.18.0" }, { name = "arize-phoenix-otel", marker = "extra == 'otel'", specifier = ">=0.15.0" }, + { name = "assert-ai", extras = ["analysis", "acs"], marker = "extra == 'dev'" }, { name = "assert-ai", extras = ["otel", "analysis", "embeddings", "azure-aad", "acs"], marker = "extra == 'all'" }, { name = "azure-identity", marker = "extra == 'azure-aad'", specifier = ">=1.19.0" }, { name = "click", specifier = ">=8.0" }, @@ -481,7 +487,7 @@ provides-extras = ["otel", "analysis", "embeddings", "azure-aad", "acs", "all", [package.metadata.requires-dev] dev = [ - { name = "assert-ai", extras = ["otel", "analysis", "acs"] }, + { name = "assert-ai", extras = ["analysis", "acs"] }, { name = "pytest", specifier = ">=9.0.3" }, { name = "pytest-timeout", specifier = ">=2.2.0" }, ] From 09256271ab55f3b3916ee957c3dea369530fd3e5 Mon Sep 17 00:00:00 2001 From: tangym Date: Wed, 26 Aug 2026 22:52:53 +0000 Subject: [PATCH 06/18] docs: clarify flagship example dependencies Explain that the travel planner owns LangGraph, LangChain Core, and its model adapter, while ASSERT owns the tracing extra. This preserves the existing golden path without presenting agent frameworks as ASSERT package features. --- .github/skills/ux-audit.md | 2 +- AGENTS.md | 2 ++ docs/getting-started.md | 4 +++- 3 files changed, 6 insertions(+), 2 deletions(-) diff --git a/.github/skills/ux-audit.md b/.github/skills/ux-audit.md index 7ce0d33c2..a8c4a2f98 100644 --- a/.github/skills/ux-audit.md +++ b/.github/skills/ux-audit.md @@ -11,7 +11,7 @@ Use this skill before launch, after README or CLI changes, or when feedback sugg ## Golden path steps 1. **Install and verify the CLI** - - Setup: `python -m pip install -e ".[otel]"` and `python -m pip install -r examples/travel_planner_langgraph/requirements.txt` + - Setup: `python -m pip install -e ".[otel]"` for ASSERT tracing, then `python -m pip install -r examples/travel_planner_langgraph/requirements.txt` for the golden-path target agent - ASSERT command: `assert-ai --help` 2. **Write an eval spec** - ASSERT command: `assert-ai init --model azure/gpt-5.4 --describe "A customer-support chatbot with order lookup and refund tools" -o eval_config.yaml` diff --git a/AGENTS.md b/AGENTS.md index 2c9884854..c8a34796a 100644 --- a/AGENTS.md +++ b/AGENTS.md @@ -75,6 +75,7 @@ python -m venv .venv source .venv/bin/activate python -m pip install --upgrade pip python -m pip install -e ".[otel]" +# The flagship target imports LangGraph, LangChain Core, and LangChain OpenAI. python -m pip install -r examples/travel_planner_langgraph/requirements.txt cp .env.example .env @@ -91,6 +92,7 @@ python -m venv .venv .\.venv\Scripts\Activate.ps1 python -m pip install --upgrade pip python -m pip install -e ".[otel]" +# The flagship target imports LangGraph, LangChain Core, and LangChain OpenAI. python -m pip install -r examples/travel_planner_langgraph/requirements.txt Copy-Item .env.example .env diff --git a/docs/getting-started.md b/docs/getting-started.md index 54dfdb87c..7a2b525d6 100644 --- a/docs/getting-started.md +++ b/docs/getting-started.md @@ -25,6 +25,8 @@ python -m pip install -r examples/travel_planner_langgraph/requirements.txt cp .env.example .env ``` +The second install is required because the flagship target imports LangGraph, LangChain Core, and LangChain OpenAI directly. Those are dependencies of the example agent, not features of the `assert-ai` package. + Edit `.env` with credentials for your provider. Defaults match the example's `azure/...` model. Any LiteLLM provider (OpenAI, Anthropic, Bedrock, Vertex, Ollama, and others) works. PowerShell (Windows): @@ -82,7 +84,7 @@ artifacts/results/travel-planner-langgraph-v1/demo-1/ [![Open in GitHub Codespaces](https://github.com/codespaces/badge.svg)](https://codespaces.new/microsoft/ASSERT) -The repo includes a minimal dev container for the LangGraph quickstart. It installs the root development group plus `examples/travel_planner_langgraph/requirements.txt`, copies `.env.example` to `.env` if needed, and forwards Phoenix on port `6006`. After container setup, add your provider credentials to `.env` and run the same `assert-ai run` command. +The repo includes a minimal dev container for the LangGraph quickstart. It installs the root development group plus `examples/travel_planner_langgraph/requirements.txt` because the container is also the golden-path example environment, copies `.env.example` to `.env` if needed, and forwards Phoenix on port `6006`. After container setup, add your provider credentials to `.env` and run the same `assert-ai run` command. PowerShell (Windows) — full sequence: From ed539e38e75c387f6e6689037301a6bf0ac9932d Mon Sep 17 00:00:00 2001 From: tangym Date: Wed, 26 Aug 2026 22:52:53 +0000 Subject: [PATCH 07/18] fix(deps): narrow Azure example requirements Drop the unused langchain-azure-ai hosting extra from Bank Manager and document the direct prerelease declaration required for uv resolution. Keep hosting only in the Foundry-hosted example. --- examples/bank_manager_agent_control/README.md | 2 +- examples/bank_manager_agent_control/requirements.txt | 4 +++- examples/langgraph-foundry-hosted/requirements.txt | 2 ++ 3 files changed, 6 insertions(+), 2 deletions(-) diff --git a/examples/bank_manager_agent_control/README.md b/examples/bank_manager_agent_control/README.md index f63d2dc57..3e5694428 100644 --- a/examples/bank_manager_agent_control/README.md +++ b/examples/bank_manager_agent_control/README.md @@ -71,7 +71,7 @@ Policy Agent) binary on PATH. Install ASSERT with the extras this example uses: ```bash -pip install "assert-ai[acs,otel]" +python -m pip install -e ".[acs,otel]" pip install -r examples/bank_manager_agent_control/requirements.txt ``` diff --git a/examples/bank_manager_agent_control/requirements.txt b/examples/bank_manager_agent_control/requirements.txt index 92ef3acc7..57031c327 100644 --- a/examples/bank_manager_agent_control/requirements.txt +++ b/examples/bank_manager_agent_control/requirements.txt @@ -1,6 +1,8 @@ fastapi>=0.141.1 +# Required transitively by langchain-azure-ai; declaring the prerelease makes +# this file resolvable by uv as well as pip. azure-ai-contentunderstanding>=1.2.0b2 -langchain-azure-ai[hosting]>=1.2.4 +langchain-azure-ai>=1.2.4 langchain-core>=1.6.0 langchain-mcp-adapters>=0.3.2 langchain-openai>=1.6.0 diff --git a/examples/langgraph-foundry-hosted/requirements.txt b/examples/langgraph-foundry-hosted/requirements.txt index ff41615c8..d5129ea89 100644 --- a/examples/langgraph-foundry-hosted/requirements.txt +++ b/examples/langgraph-foundry-hosted/requirements.txt @@ -1,4 +1,6 @@ langchain-azure-ai[hosting]>=1.2.4 +# Required transitively by langchain-azure-ai; declaring the prerelease makes +# this file resolvable by uv as well as pip. azure-ai-contentunderstanding>=1.2.0b2 azure-ai-projects azure-identity From 8245fdc791032d214d62e0e26e5741881808e9fa Mon Sep 17 00:00:00 2001 From: tangym Date: Fri, 28 Aug 2026 02:11:14 +0000 Subject: [PATCH 08/18] refactor(deps): define capability-based extras Replace implementation-oriented extras with phoenix and azure-auth, keep embeddings isolated, and make direct endpoint and Prompt Agent tracing dependencies explicit. Update runtime install hints and assert the public extra composition; the package version remains 0.2.0 until the dedicated 0.3.0 release PR. --- .env.example | 2 +- assert_ai/core/azure_auth.py | 8 ++-- assert_ai/core/collector.py | 4 +- assert_ai/core/model_client.py | 8 ++-- examples/azure_managed_identity/README.md | 10 ++--- .../azure_managed_identity/eval_config.yaml | 2 +- pyproject.toml | 14 ++++--- tests/test_import_smoke.py | 30 ++++++++++++++ tests/test_model_client.py | 14 +++---- uv.lock | 41 ++++++++++--------- 10 files changed, 84 insertions(+), 49 deletions(-) diff --git a/.env.example b/.env.example index 2b0f9baf7..6c7bbd7d3 100644 --- a/.env.example +++ b/.env.example @@ -13,7 +13,7 @@ AZURE_API_BASE=https://your-resource.openai.azure.com/ # --- Optional: Managed Identity / Entra ID auth for Azure OpenAI --- # Use this instead of (or alongside) AZURE_API_KEY when running on Azure # infrastructure that has a managed identity, or locally with `az login`. -# Requires the `azure-aad` extra: pip install -e ".[azure-aad]" +# Requires the `azure-auth` extra: pip install -e ".[azure-auth]" # The caller identity needs the "Cognitive Services OpenAI User" role on # the target Azure OpenAI resource. # diff --git a/assert_ai/core/azure_auth.py b/assert_ai/core/azure_auth.py index 0fda84635..21c13beda 100644 --- a/assert_ai/core/azure_auth.py +++ b/assert_ai/core/azure_auth.py @@ -16,7 +16,7 @@ 3. Neither set → AAD via ``DefaultAzureCredential`` (auto-fallback). The ``azure-identity`` package is an *optional* dependency -(``pip install assert-ai[azure-aad]``). When it is not installed and +(``pip install assert-ai[azure-auth]``). When it is not installed and the resolved mode is AAD, :func:`get_azure_token_provider` returns ``None`` so callers can produce a clear install-hint error instead of crashing on import. @@ -169,7 +169,7 @@ def get_azure_token_provider( except ImportError: log.info( "azure-identity is not installed; AAD auth unavailable. " - "Install with: pip install 'assert-ai[azure-aad]'" + "Install with: pip install 'assert-ai[azure-auth]'" ) _IDENTITY_IMPORT_ATTEMPTED = True _IDENTITY_AVAILABLE = False @@ -312,7 +312,7 @@ def log_resolved_azure_auth_mode() -> None: log.warning( "%s is set but azure-identity is not installed; the next " "azure/* or azure_ai/* request will fail. Install with: " - "pip install 'assert-ai[azure-aad]'", + "pip install 'assert-ai[azure-auth]'", ENV_USE_AAD_FLAG, ) elif mode == "aad-fallback": @@ -320,7 +320,7 @@ def log_resolved_azure_auth_mode() -> None: log.info( "Azure auth mode: AAD fallback (no AZURE_API_KEY set; " "azure-identity not installed — install with: " - "pip install 'assert-ai[azure-aad]').", + "pip install 'assert-ai[azure-auth]').", ) else: log.info( diff --git a/assert_ai/core/collector.py b/assert_ai/core/collector.py index 2b4b75e8c..fe79aaea0 100644 --- a/assert_ai/core/collector.py +++ b/assert_ai/core/collector.py @@ -118,7 +118,7 @@ class PhoenixCollector: """SpanCollector backed by a local Phoenix instance. Phoenix is an OPTIONAL dependency — only imported when instantiated. - Install: pip install 'ASSERT-taxonomy[otel]' + Install: pip install 'assert-ai[phoenix]' Queries Phoenix for DataFrame, then converts to list[OTelSpan] internally. """ @@ -135,7 +135,7 @@ def __init__( except ImportError as e: raise ImportError( "PhoenixCollector requires arize-phoenix. " - "Install with: pip install 'ASSERT-taxonomy[otel]'" + "Install with: pip install 'assert-ai[phoenix]'" ) from e self._default_project = project_name diff --git a/assert_ai/core/model_client.py b/assert_ai/core/model_client.py index 62476c241..5ec98212d 100644 --- a/assert_ai/core/model_client.py +++ b/assert_ai/core/model_client.py @@ -429,7 +429,7 @@ def _maybe_inject_azure_aad_token(model: str, payload: dict[str, Any]) -> None: raise LLMAuthError( "Azure managed-identity auth is active but the " "azure-identity package is not installed. Install it " - "with `pip install 'assert-ai[azure-aad]'`, or set " + "with `pip install 'assert-ai[azure-auth]'`, or set " "AZURE_API_KEY to use API-key auth." ) # aad-fallback path: silently skip — LiteLLM's own auth error @@ -964,14 +964,14 @@ def _classify_llm_error(exc: Exception, model: str | None = None) -> Exception: "a manually-minted token (`az account " "get-access-token --resource https://ai.azure.com`), " "or install Azure AD support with " - "`pip install 'assert-ai[azure-aad]'`." + "`pip install 'assert-ai[azure-auth]'`." ) else: msg += ( "\nNo AZURE_API_KEY is set and azure-identity is not " "installed. Either export AZURE_API_KEY, or install " "Azure AD support with " - "`pip install 'assert-ai[azure-aad]'`." + "`pip install 'assert-ai[azure-auth]'`." ) elif _model_family(model) == "azure_ai": msg += ( @@ -1104,7 +1104,7 @@ def _classify_llm_error(exc: Exception, model: str | None = None) -> Exception: hint = ( "Azure AI Foundry rejected the call because no bearer " "token was supplied. Install Azure AD support with " - "`pip install 'assert-ai[azure-aad]'` and run " + "`pip install 'assert-ai[azure-auth]'` and run " "`az login`, or export AZURE_AI_API_KEY with a " "manually-minted token (`az account get-access-token " "--resource https://ai.azure.com`)." diff --git a/examples/azure_managed_identity/README.md b/examples/azure_managed_identity/README.md index 6d862e2bd..6ff45748d 100644 --- a/examples/azure_managed_identity/README.md +++ b/examples/azure_managed_identity/README.md @@ -5,7 +5,7 @@ A minimal end-to-end eval that proves ASSERT can call Azure OpenAI using a static `AZURE_API_KEY`. The eval itself is intentionally tiny — its purpose is to validate the AAD auth wiring on a real Azure OpenAI deployment. -> **TL;DR:** install the `azure-aad` extra, grant the caller the +> **TL;DR:** install the `azure-auth` extra, grant the caller the > *Cognitive Services OpenAI User* role on the target resource, set > `ASSERT_AZURE_USE_AAD=1`, and run the example. No code changes required. @@ -24,10 +24,10 @@ is to validate the AAD auth wiring on a real Azure OpenAI deployment. python -m venv .venv source .venv/bin/activate # PowerShell: .\.venv\Scripts\Activate.ps1 python -m pip install --upgrade pip -python -m pip install -e ".[azure-aad]" +python -m pip install -e ".[azure-auth]" ``` -The `azure-aad` extra pulls in `azure-identity` so ASSERT can mint bearer +The `azure-auth` extra pulls in `azure-identity` so ASSERT can mint bearer tokens through `DefaultAzureCredential`. ## Configure @@ -71,10 +71,10 @@ artifacts/results/azure-mi-auth-demo/aad-smoke-1/ If the wiring is wrong you will see one of these instead: - `LLMAuthError: ... azure-identity package is not installed` → run - `pip install -e ".[azure-aad]"`. + `pip install -e ".[azure-auth]"`. - `401` with a hint about *Cognitive Services OpenAI User* → the credential resolved but RBAC is missing on the resource. -- `401` with a hint to install the `azure-aad` extra → you are in opportunistic +- `401` with a hint to install the `azure-auth` extra → you are in opportunistic fallback mode without `azure-identity`. Install the extra or set `AZURE_API_KEY`. diff --git a/examples/azure_managed_identity/eval_config.yaml b/examples/azure_managed_identity/eval_config.yaml index 5673ddd1e..5316c5f2f 100644 --- a/examples/azure_managed_identity/eval_config.yaml +++ b/examples/azure_managed_identity/eval_config.yaml @@ -4,7 +4,7 @@ run: aad-smoke-1 # (Managed Identity / az login) instead of a static AZURE_API_KEY. # # Setup (see ./README.md for the full walkthrough): -# pip install -e ".[azure-aad]" +# pip install -e ".[azure-auth]" # az login # or attach a managed identity # export ASSERT_AZURE_USE_AAD=1 # export AZURE_API_BASE=https://.openai.azure.com/ diff --git a/pyproject.toml b/pyproject.toml index e5041c0b5..4b112170a 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -30,8 +30,10 @@ classifiers = [ "Topic :: Software Development :: Testing", ] dependencies = [ + "aiohttp>=3.12.0", "click>=8.0", "litellm>=1.84.1,<2", + "openinference-instrumentation-litellm>=0.1.30", "opentelemetry-api>=1.39.0", "opentelemetry-sdk>=1.39.0", "pydantic>=2.0", @@ -42,27 +44,27 @@ dependencies = [ ] [project.optional-dependencies] -otel = [ +phoenix = [ # Phoenix 19.18.0-19.19.0 cannot import on supported Python 3.11: its # dataclass uses MappingProxyType values as mutable defaults. Keep the last # working release until upstream switches those fields to default_factory. "arize-phoenix>=15.0.0,<19.18.0", "arize-phoenix-otel>=0.15.0", - "openinference-instrumentation-langchain>=0.1.62", + "pandas>=2.2.0", ] analysis = [ "numpy>=2.0.0", - "openai>=1.30.0", - "pandas>=2.2.0", + "openai>=2.20.0,<3", ] embeddings = [ + "numpy>=2.0.0", "sentence-transformers>=3.0.0", ] # Optional Entra ID / Managed Identity auth for Azure OpenAI calls. # Lets users on `az login`, system-assigned MI, or user-assigned MI skip # `AZURE_API_KEY` entirely. Strictly additive: the base install keeps # working with API keys exactly as before. -azure-aad = [ +azure-auth = [ "azure-identity>=1.19.0", ] acs = [ @@ -74,7 +76,7 @@ acs = [ "agent-control-specification>=0.3.1b0", ] all = [ - "assert-ai[otel,analysis,embeddings,azure-aad,acs]", + "assert-ai[phoenix,analysis,embeddings,azure-auth,acs]", ] dev = [ "pytest>=9.0.3", diff --git a/tests/test_import_smoke.py b/tests/test_import_smoke.py index f15532d4a..9c2bff02c 100644 --- a/tests/test_import_smoke.py +++ b/tests/test_import_smoke.py @@ -2,6 +2,7 @@ # Licensed under the MIT License. import importlib +from importlib.metadata import metadata import unittest @@ -17,3 +18,32 @@ def test_stratification_stage_imports(self) -> None: def test_test_case_labeling_imports(self) -> None: importlib.import_module("assert_ai.analysis.test_case_labeling") + + def test_public_extras_match_release_contract(self) -> None: + package_metadata = metadata("assert-ai") + self.assertEqual( + set(package_metadata.get_all("Provides-Extra") or []), + {"acs", "all", "analysis", "azure-auth", "dev", "embeddings", "phoenix"}, + ) + + requirements = package_metadata.get_all("Requires-Dist") or [] + expected_dependencies = { + "acs": {"acs-generator", "agent-control-specification"}, + "analysis": {"numpy", "openai"}, + "azure-auth": {"azure-identity"}, + "embeddings": {"numpy", "sentence-transformers"}, + "phoenix": {"arize-phoenix", "arize-phoenix-otel", "pandas"}, + } + for extra, dependencies in expected_dependencies.items(): + extra_requirements = { + requirement.split(";", 1)[0].split(" ", 1)[0].split("<", 1)[0].split(">", 1)[0] + for requirement in requirements + if f'extra == "{extra}"' in requirement + } + self.assertEqual(extra_requirements, dependencies, extra) + + all_requirement = next( + requirement for requirement in requirements if 'extra == "all"' in requirement + ) + for extra in expected_dependencies: + self.assertIn(extra, all_requirement) diff --git a/tests/test_model_client.py b/tests/test_model_client.py index fc5aa7a10..f5a7a1bf8 100644 --- a/tests/test_model_client.py +++ b/tests/test_model_client.py @@ -1166,7 +1166,7 @@ async def test_aad_mode_azure_model_missing_dep_raises(self) -> None: with self.assertRaises(model_client.LLMAuthError) as ctx: await model_client.generate("azure/gpt-4o-mini", "hi") self.assertIn("azure-identity", str(ctx.exception)) - self.assertIn("assert-ai[azure-aad]", str(ctx.exception)) + self.assertIn("assert-ai[azure-auth]", str(ctx.exception)) # Row 6b: aad-fallback + azure/* + missing dep → silent skip (no inject, no raise) async def test_aad_fallback_missing_dep_silently_skips_injection(self) -> None: @@ -1257,7 +1257,7 @@ async def test_aad_mode_azure_ai_agent_missing_dep_raises(self) -> None: with self.assertRaises(model_client.LLMAuthError) as ctx: await model_client.generate("azure_ai/agents/asst_xxx", "hi") self.assertIn("azure-identity", str(ctx.exception)) - self.assertIn("assert-ai[azure-aad]", str(ctx.exception)) + self.assertIn("assert-ai[azure-auth]", str(ctx.exception)) async def test_aad_fallback_azure_ai_agent_missing_dep_silently_skips(self) -> None: captured = await self._run_chat( @@ -1408,7 +1408,7 @@ def test_auth_error_message_swaps_to_install_hint_when_dep_missing(self) -> None patch.object(model_client.azure_auth, "_AZURE_OPENAI_AAD_DEP_MISSING", True): wrapped = model_client._classify_llm_error(exc, model="azure/gpt-5.4-mini") self.assertIsInstance(wrapped, model_client.LLMAuthError) - self.assertIn("assert-ai[azure-aad]", str(wrapped)) + self.assertIn("assert-ai[azure-auth]", str(wrapped)) # The RBAC hint must not appear in this branch — it would be misleading. self.assertNotIn("Cognitive Services OpenAI User", str(wrapped)) @@ -1430,7 +1430,7 @@ def test_install_hint_mentions_azure_ai_api_key_for_foundry_family(self) -> None exc, model="azure_ai/agents/asst_xxx" ) self.assertIsInstance(wrapped, model_client.LLMAuthError) - self.assertIn("assert-ai[azure-aad]", str(wrapped)) + self.assertIn("assert-ai[azure-auth]", str(wrapped)) self.assertIn("AZURE_AI_API_KEY", str(wrapped)) # The Azure OpenAI env var must not appear: it would send the # user to the wrong resource's key. @@ -1453,7 +1453,7 @@ def test_auth_error_omits_azure_hints_for_non_azure_model(self) -> None: # Neither the RBAC hint nor the install hint should appear on a # non-Azure call. self.assertNotIn("Cognitive Services OpenAI User", str(wrapped)) - self.assertNotIn("assert-ai[azure-aad]", str(wrapped)) + self.assertNotIn("assert-ai[azure-auth]", str(wrapped)) self.assertNotIn("Azure AD auth is active", str(wrapped)) def test_auth_error_omits_azure_hints_when_model_not_supplied(self) -> None: @@ -1468,7 +1468,7 @@ def test_auth_error_omits_azure_hints_when_model_not_supplied(self) -> None: wrapped = model_client._classify_llm_error(exc) self.assertIsInstance(wrapped, model_client.LLMAuthError) self.assertNotIn("Cognitive Services OpenAI User", str(wrapped)) - self.assertNotIn("assert-ai[azure-aad]", str(wrapped)) + self.assertNotIn("assert-ai[azure-auth]", str(wrapped)) # ── azure_ai/* (Azure AI Foundry) hints ──────────────────────── @@ -1504,7 +1504,7 @@ def test_azure_ai_missing_token_api_connection_error_becomes_auth_error(self) -> exc, model="azure_ai/agents/asst_xxx" ) self.assertIsInstance(wrapped, model_client.LLMAuthError) - self.assertIn("assert-ai[azure-aad]", str(wrapped)) + self.assertIn("assert-ai[azure-auth]", str(wrapped)) self.assertIn("az login", str(wrapped)) self.assertIn("AZURE_AI_API_KEY", str(wrapped)) diff --git a/uv.lock b/uv.lock index 653c21e6e..4be9c7364 100644 --- a/uv.lock +++ b/uv.lock @@ -396,8 +396,10 @@ name = "assert-ai" version = "0.2.0" source = { editable = "." } dependencies = [ + { name = "aiohttp" }, { name = "click" }, { name = "litellm" }, + { name = "openinference-instrumentation-litellm" }, { name = "opentelemetry-api" }, { name = "opentelemetry-sdk" }, { name = "pydantic" }, @@ -420,16 +422,14 @@ all = [ { name = "azure-identity" }, { name = "numpy" }, { name = "openai" }, - { name = "openinference-instrumentation-langchain" }, { name = "pandas" }, { name = "sentence-transformers" }, ] analysis = [ { name = "numpy" }, { name = "openai" }, - { name = "pandas" }, ] -azure-aad = [ +azure-auth = [ { name = "azure-identity" }, ] dev = [ @@ -437,17 +437,17 @@ dev = [ { name = "agent-control-specification" }, { name = "numpy" }, { name = "openai" }, - { name = "pandas" }, { name = "pytest" }, { name = "pytest-timeout" }, ] embeddings = [ + { name = "numpy" }, { name = "sentence-transformers" }, ] -otel = [ +phoenix = [ { name = "arize-phoenix" }, { name = "arize-phoenix-otel" }, - { name = "openinference-instrumentation-langchain" }, + { name = "pandas" }, ] [package.dev-dependencies] @@ -461,19 +461,21 @@ dev = [ requires-dist = [ { name = "acs-generator", marker = "extra == 'acs'", specifier = ">=0.3.1b0,<0.4" }, { name = "agent-control-specification", marker = "extra == 'acs'", specifier = ">=0.3.1b0" }, - { name = "arize-phoenix", marker = "extra == 'otel'", specifier = ">=15.0.0,<19.18.0" }, - { name = "arize-phoenix-otel", marker = "extra == 'otel'", specifier = ">=0.15.0" }, + { name = "aiohttp", specifier = ">=3.12.0" }, + { name = "arize-phoenix", marker = "extra == 'phoenix'", specifier = ">=15.0.0,<19.18.0" }, + { name = "arize-phoenix-otel", marker = "extra == 'phoenix'", specifier = ">=0.15.0" }, { name = "assert-ai", extras = ["analysis", "acs"], marker = "extra == 'dev'" }, - { name = "assert-ai", extras = ["otel", "analysis", "embeddings", "azure-aad", "acs"], marker = "extra == 'all'" }, - { name = "azure-identity", marker = "extra == 'azure-aad'", specifier = ">=1.19.0" }, + { name = "assert-ai", extras = ["phoenix", "analysis", "embeddings", "azure-auth", "acs"], marker = "extra == 'all'" }, + { name = "azure-identity", marker = "extra == 'azure-auth'", specifier = ">=1.19.0" }, { name = "click", specifier = ">=8.0" }, { name = "litellm", specifier = ">=1.84.1,<2" }, { name = "numpy", marker = "extra == 'analysis'", specifier = ">=2.0.0" }, - { name = "openai", marker = "extra == 'analysis'", specifier = ">=1.30.0" }, - { name = "openinference-instrumentation-langchain", marker = "extra == 'otel'", specifier = ">=0.1.62" }, + { name = "numpy", marker = "extra == 'embeddings'", specifier = ">=2.0.0" }, + { name = "openai", marker = "extra == 'analysis'", specifier = ">=2.20.0,<3" }, + { name = "openinference-instrumentation-litellm", specifier = ">=0.1.30" }, { name = "opentelemetry-api", specifier = ">=1.39.0" }, { name = "opentelemetry-sdk", specifier = ">=1.39.0" }, - { name = "pandas", marker = "extra == 'analysis'", specifier = ">=2.2.0" }, + { name = "pandas", marker = "extra == 'phoenix'", specifier = ">=2.2.0" }, { name = "pydantic", specifier = ">=2.0" }, { name = "pytest", marker = "extra == 'dev'", specifier = ">=9.0.3" }, { name = "pytest-timeout", marker = "extra == 'dev'", specifier = ">=2.2.0" }, @@ -483,7 +485,7 @@ requires-dist = [ { name = "rich", specifier = ">=13.7.0" }, { name = "sentence-transformers", marker = "extra == 'embeddings'", specifier = ">=3.0.0" }, ] -provides-extras = ["otel", "analysis", "embeddings", "azure-aad", "acs", "all", "dev"] +provides-extras = ["phoenix", "analysis", "embeddings", "azure-auth", "acs", "all", "dev"] [package.metadata.requires-dev] dev = [ @@ -2545,20 +2547,21 @@ wheels = [ ] [[package]] -name = "openinference-instrumentation-langchain" -version = "0.1.63" +name = "openinference-instrumentation-litellm" +version = "0.1.39" source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "openinference-instrumentation" }, { name = "openinference-semantic-conventions" }, { name = "opentelemetry-api" }, { name = "opentelemetry-instrumentation" }, - 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Preserve the non-GPT model field behavior, add constructor tests, and verify the documented two-step install with pip check. --- examples/bank_manager_agent_control/README.md | 4 +- examples/bank_manager_agent_control/agent.py | 24 ++++---- .../bank_manager_agent_control/ci/README.md | 2 +- .../bank_manager_agent_control/docs/README.md | 4 +- .../requirements.txt | 5 +- .../scripts/smoke_test.py | 2 +- .../tests/test_model_config.py | 56 +++++++++++++++++++ 7 files changed, 73 insertions(+), 24 deletions(-) create mode 100644 examples/bank_manager_agent_control/tests/test_model_config.py diff --git a/examples/bank_manager_agent_control/README.md b/examples/bank_manager_agent_control/README.md index 3e5694428..a9c8c6f81 100644 --- a/examples/bank_manager_agent_control/README.md +++ b/examples/bank_manager_agent_control/README.md @@ -71,8 +71,8 @@ Policy Agent) binary on PATH. Install ASSERT with the extras this example uses: ```bash -python -m pip install -e ".[acs,otel]" -pip install -r examples/bank_manager_agent_control/requirements.txt +python -m pip install -e ".[acs]" +python -m pip install -r examples/bank_manager_agent_control/requirements.txt ``` (`acs` pulls the Agent Control Specification runtime; see diff --git a/examples/bank_manager_agent_control/agent.py b/examples/bank_manager_agent_control/agent.py index 5335eb59c..96f47580a 100644 --- a/examples/bank_manager_agent_control/agent.py +++ b/examples/bank_manager_agent_control/agent.py @@ -37,7 +37,7 @@ from langchain_core.language_models import BaseChatModel from langchain_core.messages import AIMessage, HumanMessage, SystemMessage from langchain_mcp_adapters.tools import load_mcp_tools -from langchain_openai import AzureChatOpenAI +from langchain_openai import AzureChatOpenAI, ChatOpenAI from langgraph.prebuilt import create_react_agent from mcp import ClientSession from mcp.client.stdio import StdioServerParameters, stdio_client @@ -131,12 +131,10 @@ def _build_llm() -> BaseChatModel: - GPT-family deployments (model name starts with ``gpt``) are served via the Azure OpenAI gateway (``/openai/deployments/{name}``) and use ``AzureChatOpenAI``. - - Everything else (DeepSeek, Mistral, Llama, Phi, Cohere, …) is served - via Azure AI Inference (``/models/chat/completions``) and uses - ``AzureAIChatCompletionsModel`` from ``langchain-azure-ai``. These - deployments typically run behind SGLang/vLLM, which require the - ``model`` body field to be populated — something Azure OpenAI's path - style does not do. + - Everything else (DeepSeek, Mistral, Llama, Phi, Cohere, …) is served + through Azure AI Inference's OpenAI-compatible endpoint + (``/models/chat/completions``). These deployments typically run behind + SGLang/vLLM and require the ``model`` body field to be populated. """ deployment = os.environ.get("AGENT_MODEL", "gpt-4o-mini") @@ -172,14 +170,12 @@ def _build_llm() -> BaseChatModel: kwargs["temperature"] = 0.0 return AzureChatOpenAI(**kwargs) - # Azure AI Inference route — endpoint is ``{base}/models``, deployment - # passed as ``model`` (populates the request body field SGLang requires). - from langchain_azure_ai.chat_models import AzureAIChatCompletionsModel - + # Azure AI Inference route — ChatOpenAI appends ``/chat/completions`` to + # this base URL and sends ``model`` in the request body as SGLang requires. inference_endpoint = base.rstrip("/") + "/models" - return AzureAIChatCompletionsModel( - endpoint=inference_endpoint, - credential=key, + return ChatOpenAI( + base_url=inference_endpoint, + api_key=key, model=deployment, temperature=0.0, max_tokens=4000, diff --git a/examples/bank_manager_agent_control/ci/README.md b/examples/bank_manager_agent_control/ci/README.md index 23cf8169d..ef2d5184b 100644 --- a/examples/bank_manager_agent_control/ci/README.md +++ b/examples/bank_manager_agent_control/ci/README.md @@ -11,7 +11,7 @@ fork of ASSERT. There, the banking agent simply does: ```bash -pip install "assert-ai[acs,otel]" +pip install "assert-ai[acs]" pip install -r examples/bank_manager_agent_control/requirements.txt ``` diff --git a/examples/bank_manager_agent_control/docs/README.md b/examples/bank_manager_agent_control/docs/README.md index d7015fb73..5b672b9fa 100644 --- a/examples/bank_manager_agent_control/docs/README.md +++ b/examples/bank_manager_agent_control/docs/README.md @@ -219,7 +219,7 @@ PowerShell (Windows): python -m venv .venv .\.venv\Scripts\Activate.ps1 python -m pip install --upgrade pip -python -m pip install -e ".[otel]" +python -m pip install -e . python -m pip install -r examples/bank_manager_agent_control/requirements.txt ``` @@ -229,7 +229,7 @@ bash (macOS / Linux): python -m venv .venv source .venv/bin/activate python -m pip install --upgrade pip -python -m pip install -e ".[otel]" +python -m pip install -e . python -m pip install -r examples/bank_manager_agent_control/requirements.txt ``` diff --git a/examples/bank_manager_agent_control/requirements.txt b/examples/bank_manager_agent_control/requirements.txt index 57031c327..6cc97a55f 100644 --- a/examples/bank_manager_agent_control/requirements.txt +++ b/examples/bank_manager_agent_control/requirements.txt @@ -1,11 +1,8 @@ fastapi>=0.141.1 -# Required transitively by langchain-azure-ai; declaring the prerelease makes -# this file resolvable by uv as well as pip. -azure-ai-contentunderstanding>=1.2.0b2 -langchain-azure-ai>=1.2.4 langchain-core>=1.6.0 langchain-mcp-adapters>=0.3.2 langchain-openai>=1.6.0 langgraph>=1.2.11 mcp>=1.29.1 +openinference-instrumentation-langchain>=0.1.62 uvicorn>=0.46.0 \ No newline at end of file diff --git a/examples/bank_manager_agent_control/scripts/smoke_test.py b/examples/bank_manager_agent_control/scripts/smoke_test.py index e3ffda92a..13693775f 100644 --- a/examples/bank_manager_agent_control/scripts/smoke_test.py +++ b/examples/bank_manager_agent_control/scripts/smoke_test.py @@ -6,7 +6,7 @@ - DEPS (needs mcp + langgraph + the agent stack): instantiates the two MCP servers and imports the agent module. Skips gracefully if deps are missing. -Run after `pip install -e ".[otel]"` and +Run after `pip install -e .` and `pip install -r examples/bank_manager_agent_control/requirements.txt`: python examples/bank_manager_agent_control/smoke_test.py Expect all OFFLINE checks PASS and all DEPS checks PASS. diff --git a/examples/bank_manager_agent_control/tests/test_model_config.py b/examples/bank_manager_agent_control/tests/test_model_config.py new file mode 100644 index 000000000..b55c6c2e4 --- /dev/null +++ b/examples/bank_manager_agent_control/tests/test_model_config.py @@ -0,0 +1,56 @@ +"""Offline tests for the Bank Manager model routing contract.""" + +import _bootstrap # noqa: F401 + +import os +import unittest +from unittest.mock import patch + +import agent + + +class ModelConfigTests(unittest.TestCase): + def setUp(self): + self.environment = patch.dict( + os.environ, + { + "AZURE_API_BASE": "https://example.openai.azure.com/", + "AZURE_API_KEY": "test-key", + }, + clear=False, + ) + self.environment.start() + + def tearDown(self): + self.environment.stop() + + @patch("agent.AzureChatOpenAI") + def test_gpt_model_uses_azure_openai_route(self, model_class): + with patch.dict(os.environ, {"AGENT_MODEL": "gpt-4o-mini"}): + agent._build_llm() + + model_class.assert_called_once_with( + azure_deployment="gpt-4o-mini", + azure_endpoint="https://example.openai.azure.com/", + api_version="2024-12-01-preview", + max_tokens=4000, + api_key="test-key", + temperature=0.0, + ) + + @patch("agent.ChatOpenAI") + def test_non_gpt_model_uses_inference_compatible_route(self, model_class): + with patch.dict(os.environ, {"AGENT_MODEL": "DeepSeek-V3"}): + agent._build_llm() + + model_class.assert_called_once_with( + base_url="https://example.openai.azure.com/models", + api_key="test-key", + model="DeepSeek-V3", + temperature=0.0, + max_tokens=4000, + ) + + +if __name__ == "__main__": + unittest.main() \ No newline at end of file From 077ec4ec6f176fcec8a27305f6b39276901f40d3 Mon Sep 17 00:00:00 2001 From: tangym Date: Fri, 28 Aug 2026 02:12:40 +0000 Subject: [PATCH 10/18] test(ci): verify documented example installs Build the wheel once, install each documented ASSERT/example environment in parallel, run pip check, and import each target without network calls. Exercise Bank Manager routing and the standalone Foundry host on its Python 3.13 minimum. --- .devcontainer/devcontainer.json | 2 +- .github/workflows/build.yml | 83 +++++++++++++++++++++++++++++++++ .github/workflows/science.yml | 2 +- 3 files changed, 85 insertions(+), 2 deletions(-) diff --git a/.devcontainer/devcontainer.json b/.devcontainer/devcontainer.json index 3b2c18932..16228bce2 100644 --- a/.devcontainer/devcontainer.json +++ b/.devcontainer/devcontainer.json @@ -1,7 +1,7 @@ { "name": "ASSERT", "image": "mcr.microsoft.com/devcontainers/python:1-3.12-bookworm", - "postCreateCommand": "python -m pip install --upgrade pip uv && uv sync --group dev --extra otel && uv pip install -r examples/travel_planner_langgraph/requirements.txt && cp -n .env.example .env", + "postCreateCommand": "python -m pip install --upgrade pip uv && uv sync --group dev --extra phoenix && uv pip install -r examples/travel_planner_langgraph/requirements.txt && cp -n .env.example .env", "forwardPorts": [ 6006 ], diff --git a/.github/workflows/build.yml b/.github/workflows/build.yml index 12637900a..4460d6702 100644 --- a/.github/workflows/build.yml +++ b/.github/workflows/build.yml @@ -10,6 +10,10 @@ on: - 'uv.lock' - 'pytest.ini' - 'README.md' + - 'examples/**/requirements.txt' + - 'examples/**/agent.py' + - 'examples/**/auto_trace.py' + - 'examples/**/tests/**' - 'LICENSE' - '.github/workflows/build.yml' pull_request: @@ -21,6 +25,10 @@ on: - 'uv.lock' - 'pytest.ini' - 'README.md' + - 'examples/**/requirements.txt' + - 'examples/**/agent.py' + - 'examples/**/auto_trace.py' + - 'examples/**/tests/**' - 'LICENSE' - '.github/workflows/build.yml' workflow_dispatch: @@ -91,3 +99,78 @@ jobs: # YAMLs) or missing modules at import time. run: pytest source/tests/test_import_smoke.py source/tests/test_library_loader.py -v --import-mode=importlib shell: bash + + test-example-installs: + name: "Example install: ${{ matrix.example }}" + needs: build + runs-on: ubuntu-latest + strategy: + fail-fast: false + matrix: + include: + - example: travel-planner-langgraph + assert_extras: phoenix + requirements: examples/travel_planner_langgraph/requirements.txt + import: examples.travel_planner_langgraph.auto_trace + - example: azure-doc-qa + assert_extras: '' + requirements: examples/azure_doc_qa/requirements.txt + import: examples.azure_doc_qa.auto_trace + - example: phoenix-auto-trace-openai + assert_extras: phoenix + requirements: examples/phoenix_auto_trace/requirements.txt + import: examples.phoenix_auto_trace.travel_openai + - example: bank-manager-agent-control + assert_extras: acs + requirements: examples/bank_manager_agent_control/requirements.txt + import: examples.bank_manager_agent_control.agent + steps: + - uses: actions/setup-python@v5 + with: + python-version: '3.11' + - uses: actions/checkout@v4 + with: + path: source + - uses: actions/download-artifact@v4 + with: + name: dist + path: dist + - name: Install documented environment + run: | + python -m pip install --upgrade pip + WHEEL="$(ls dist/*.whl)" + if [ -n "${{ matrix.assert_extras }}" ]; then + WHEEL="${WHEEL}[${{ matrix.assert_extras }}]" + fi + python -m pip install "$WHEEL" + python -m pip install -r "source/${{ matrix.requirements }}" + python -m pip check + - name: Import example target + working-directory: source + env: + OPENAI_API_KEY: test-key + PHOENIX_DISABLE_AUTO_INSTRUMENT: '1' + run: python -c "import ${{ matrix.import }}" + - name: Test Bank Manager model routing + if: matrix.example == 'bank-manager-agent-control' + working-directory: source + env: + PYTHONPATH: examples/bank_manager_agent_control/tests + run: python -m unittest discover -s examples/bank_manager_agent_control/tests -p 'test_model_config.py' -v + + test-foundry-host-install: + name: "Example install: langgraph-foundry-hosted server" + runs-on: ubuntu-latest + steps: + - uses: actions/setup-python@v5 + with: + python-version: '3.13' + - uses: actions/checkout@v4 + - name: Install standalone host environment + run: | + python -m pip install --upgrade pip + python -m pip install -r examples/langgraph-foundry-hosted/requirements.txt + python -m pip check + - name: Import hosted server + working-directory: examples/langgraph-foundry-hosted + run: python -c "import main" diff --git a/.github/workflows/science.yml b/.github/workflows/science.yml index 60f69ee96..bc1a8f8e3 100644 --- a/.github/workflows/science.yml +++ b/.github/workflows/science.yml @@ -97,7 +97,7 @@ jobs: # The gate runs the flagship LangGraph target. ASSERT owns tracing; # the target's LangGraph, LangChain Core, and model adapter versions # are declared by the example requirements file. - uv pip install --system -e ".[otel]" + uv pip install --system -e ".[phoenix]" uv pip install --system -r examples/travel_planner_langgraph/requirements.txt - name: Start Phoenix collector From 33d65ae28db5cb2b64aa9c5ebe3f01815253d677 Mon Sep 17 00:00:00 2001 From: tangym Date: Fri, 28 Aug 2026 02:13:08 +0000 Subject: [PATCH 11/18] fix(trace): surface missing target instrumentation Treat zero captured spans as invalid trace metadata and emit actionable guidance once per session. Clarify that auto_trace activates installed instrumentors, and move LangChain instrumentation into the LangChain example environments that own it. --- assert_ai/auto_trace.py | 4 ++-- assert_ai/core/otel.py | 7 +++++++ assert_ai/core/otel_session.py | 9 +++++++++ examples/azure_doc_qa/auto_trace.py | 2 +- examples/azure_doc_qa/requirements.txt | 3 ++- .../travel_planner_langgraph/auto_trace.py | 2 +- .../travel_planner_langgraph/requirements.txt | 3 ++- tests/test_framework_agnostic.py | 20 ++++++++++++++----- 8 files changed, 39 insertions(+), 11 deletions(-) diff --git a/assert_ai/auto_trace.py b/assert_ai/auto_trace.py index a76bf8398..e8d48fb33 100644 --- a/assert_ai/auto_trace.py +++ b/assert_ai/auto_trace.py @@ -4,7 +4,7 @@ """Lightweight OpenInference/Phoenix auto-tracing helper. Use ``from assert_ai import auto_trace; auto_trace.enable()`` before importing -or constructing the target agent. By default, the helper installs any available +or constructing the target agent. By default, the helper activates any installed OpenTelemetry/OpenInference instrumentors but avoids importing ``phoenix.otel`` when no Phoenix/OTLP collector is configured or reachable. This keeps local CLI/demo startup fast while still allowing ASSERT's in-process collector to @@ -63,7 +63,7 @@ def _collector_available(*, timeout: float = 0.1) -> bool: def _enable_entrypoint_instrumentors() -> None: - """Install available OpenTelemetry instrumentors without importing Phoenix.""" + """Activate installed OpenTelemetry instrumentors without importing Phoenix.""" global _instrumentors_enabled if _instrumentors_enabled: return diff --git a/assert_ai/core/otel.py b/assert_ai/core/otel.py index 3585ff5f3..b9ba2f0e0 100644 --- a/assert_ai/core/otel.py +++ b/assert_ai/core/otel.py @@ -1295,6 +1295,13 @@ def validate_spans(spans: list[OTelSpan]) -> SpanValidationResult: """ warnings: list[str] = [] + if not spans: + warnings.append( + "No OpenTelemetry spans were captured. For an auto-instrumented agent, " + "install the matching openinference-instrumentation-* package in the " + "target environment; for a custom agent, verify that it emits OTel spans." + ) + for span in spans: if span.convention == "gen_ai": warnings.extend(_validate_genai_span(span)) diff --git a/assert_ai/core/otel_session.py b/assert_ai/core/otel_session.py index ec407c008..40f3ff1dd 100644 --- a/assert_ai/core/otel_session.py +++ b/assert_ai/core/otel_session.py @@ -21,6 +21,7 @@ from __future__ import annotations import inspect +import logging import uuid from contextlib import nullcontext from pathlib import Path @@ -40,6 +41,9 @@ from assert_ai.core.session import TurnResult +log = logging.getLogger(__name__) + + class OTelTracedSession: """Session that invokes a callable target and captures OTel traces per turn. @@ -90,6 +94,7 @@ def __init__( self._session_id = "" self._turn_traces: list[dict[str, Any]] = [] self._live_otel = live_otel + self._warned_no_spans = False if live_otel: from assert_ai.core.otel import LiveOTelExporter @@ -144,6 +149,7 @@ async def open(self) -> None: self._supports_history = "history" in sig.parameters self._session_id = uuid.uuid4().hex[:12] self._turn_traces = [] + self._warned_no_spans = False if self._live_exporter is not None: self._live_exporter.setup() @@ -209,6 +215,9 @@ async def run_turn(self, messages: list[Message]) -> TurnResult: turn_spans = self._exporter.export_session(turn_id) validation = validate_spans(turn_spans) + if not turn_spans and not self._warned_no_spans: + log.warning(validation.warnings[0]) + self._warned_no_spans = True # Convert spans to events (tool call visibility + judge metadata) if turn_spans: diff --git a/examples/azure_doc_qa/auto_trace.py b/examples/azure_doc_qa/auto_trace.py index 2e4cd8b51..c605df995 100644 --- a/examples/azure_doc_qa/auto_trace.py +++ b/examples/azure_doc_qa/auto_trace.py @@ -3,7 +3,7 @@ """OpenInference auto-instrumentation for the Azure Doc QA agent. -Central helper installs available OpenInference instrumentors without starting +Central helper activates installed OpenInference instrumentors without starting Phoenix unless a collector is configured or reachable. """ diff --git a/examples/azure_doc_qa/requirements.txt b/examples/azure_doc_qa/requirements.txt index ad9265fbe..296ac4ca8 100644 --- a/examples/azure_doc_qa/requirements.txt +++ b/examples/azure_doc_qa/requirements.txt @@ -1,4 +1,5 @@ langchain-core>=1.6.0 langchain-mcp-adapters>=0.3.2 langchain-openai>=1.6.0 -langgraph>=1.2.11 \ No newline at end of file +langgraph>=1.2.11 +openinference-instrumentation-langchain>=0.1.62 \ No newline at end of file diff --git a/examples/travel_planner_langgraph/auto_trace.py b/examples/travel_planner_langgraph/auto_trace.py index 8437fa32a..dd01dde1a 100644 --- a/examples/travel_planner_langgraph/auto_trace.py +++ b/examples/travel_planner_langgraph/auto_trace.py @@ -3,7 +3,7 @@ """OpenInference auto-instrumentation for the LangGraph travel planner. -Central helper installs available OpenInference instrumentors without starting +Central helper activates installed OpenInference instrumentors without starting Phoenix unless a collector is configured or reachable. """ diff --git a/examples/travel_planner_langgraph/requirements.txt b/examples/travel_planner_langgraph/requirements.txt index 0c64072f9..2f0b5c208 100644 --- a/examples/travel_planner_langgraph/requirements.txt +++ b/examples/travel_planner_langgraph/requirements.txt @@ -1,3 +1,4 @@ langchain-core>=1.6.0 langchain-openai>=1.6.0 -langgraph>=1.2.11 \ No newline at end of file +langgraph>=1.2.11 +openinference-instrumentation-langchain>=0.1.62 \ No newline at end of file diff --git a/tests/test_framework_agnostic.py b/tests/test_framework_agnostic.py index b3b568447..d70f186e8 100644 --- a/tests/test_framework_agnostic.py +++ b/tests/test_framework_agnostic.py @@ -504,12 +504,13 @@ def test_tool_span_missing_recommended(self): self.assertFalse(result.valid) self.assertTrue(any("tool.name" in w for w in result.warnings)) - def test_empty_spans_valid(self): + def test_empty_spans_warns_about_missing_instrumentation(self): from assert_ai.core.otel import validate_spans result = validate_spans([]) - self.assertTrue(result.valid) + self.assertFalse(result.valid) self.assertEqual(result.missing_attributes, []) - self.assertEqual(result.warnings, []) + self.assertEqual(len(result.warnings), 1) + self.assertIn("openinference-instrumentation-*", result.warnings[0]) # ── compress_trace_for_judge tests ─────────────────────────────── @@ -651,12 +652,19 @@ async def _run(): await session.close() return result - result = asyncio.run(_run()) + with self.assertLogs("assert_ai.core.otel_session", level="WARNING") as logs: + result = asyncio.run(_run()) self.assertEqual(result.text, "traced: probe") self.assertEqual(result.raw["runtime_mode"], "otel_traced") self.assertIn("session_id", result.raw) self.assertIn("turn_id", result.raw) self.assertEqual(result.raw["accumulated_turns"], 1) + self.assertFalse(result.raw["span_validation"]["valid"]) + self.assertIn( + "openinference-instrumentation-*", + result.raw["span_validation"]["warnings"][0], + ) + self.assertIn("openinference-instrumentation-*", logs.output[0]) finally: del sys.modules["_test_otel_target"] @@ -802,11 +810,13 @@ async def _run(): await session.close() return r1, r2 - r1, r2 = asyncio.run(_run()) + with self.assertLogs("assert_ai.core.otel_session", level="WARNING") as logs: + r1, r2 = asyncio.run(_run()) self.assertEqual(r1.raw["accumulated_turns"], 1) self.assertEqual(r2.raw["accumulated_turns"], 2) self.assertEqual(r1.text, "turn_1") self.assertEqual(r2.text, "turn_2") + self.assertEqual(len(logs.output), 1) finally: del sys.modules["_test_otel_multi"] From 59b9cd91f99e532f7a83998977378e7f6dae9b28 Mon Sep 17 00:00:00 2001 From: tangym Date: Fri, 28 Aug 2026 02:13:24 +0000 Subject: [PATCH 12/18] docs: document 0.3 dependency migration Update canonical setup, examples, and assistant guidance for phoenix and azure-auth. Explain target-owned instrumentors, keep embeddings concise and isolated, correct script dependency ownership, and record the breaking 0.2-to-0.3 migration under Unreleased without changing the package version. --- .claude/skills/run-assert-eval/SKILL.md | 6 +++--- .cursor/rules/assert.mdc | 2 +- .github/agents/designer.md | 2 +- .github/prompts/run-assert-eval.prompt.md | 4 ++-- .github/skills/ux-audit.md | 2 +- AGENTS.md | 4 ++-- CHANGELOG.md | 19 +++++++++++++++++++ README.md | 6 +++--- docs/getting-started.md | 14 +++++++------- docs/guides/troubleshooting.md | 2 +- docs/targets/README.md | 2 +- docs/targets/callable.md | 19 ++++++++++++++++--- examples/README.md | 2 +- examples/azure_doc_qa/IMPROVEMENT_JOURNEY.md | 2 +- examples/azure_doc_qa/README.md | 4 ++-- examples/billing_support_agent/README.md | 2 +- examples/change_control_agent/README.md | 2 +- examples/incident_triage_agent/README.md | 2 +- .../langgraph-foundry-hosted/.env.example | 2 +- examples/langgraph-foundry-hosted/README.md | 4 ++-- examples/phoenix_auto_trace/README.md | 2 +- examples/prompt_agents/README.md | 4 ++-- examples/science_research_agent/README.md | 2 +- examples/travel_planner_langgraph/README.md | 6 +++--- examples/travel_planner_neurosan/README.md | 4 ++-- scripts/render_trade_off.py | 3 +-- 26 files changed, 77 insertions(+), 46 deletions(-) diff --git a/.claude/skills/run-assert-eval/SKILL.md b/.claude/skills/run-assert-eval/SKILL.md index 9b2c05126..3e328cb64 100644 --- a/.claude/skills/run-assert-eval/SKILL.md +++ b/.claude/skills/run-assert-eval/SKILL.md @@ -100,13 +100,13 @@ runs*, or *watch a live run*. 1. **ASSERT installed**: `assert-ai --help` succeeds. If not, guide install from PyPI — not an editable install of the user's own repo: ``` - python -m pip install "assert-ai[otel]" + python -m pip install "assert-ai[phoenix]" ``` The target project owns its agent framework dependencies. For repository examples, install the adjacent `requirements.txt`; for a customer project, use that project's existing dependency manifest. `target.endpoint` needs - `aiohttp`, which ships transitively via `litellm`'s own dependency — no - separate extra to install. Use `pip install -e ".[otel]"` **only** when the + `aiohttp`, which ships directly with ASSERT — no + separate extra to install. Use `pip install -e ".[phoenix]"` **only** when the working directory is a clone of the ASSERT repo itself; inside a customer repo it installs the wrong package. diff --git a/.cursor/rules/assert.mdc b/.cursor/rules/assert.mdc index 602632eb2..755a29dfe 100644 --- a/.cursor/rules/assert.mdc +++ b/.cursor/rules/assert.mdc @@ -65,7 +65,7 @@ stepping with citations highlighted). Answer in chat for "what / why / which"; h ### Preconditions (check, don't assume) 1. **ASSERT installed**: verify `assert-ai --help` succeeds. If not, guide install: - `python -m pip install "assert-ai[otel]"`. The target project owns its agent + `python -m pip install "assert-ai[phoenix]"`. The target project owns its agent framework dependencies; repository examples declare them in adjacent `requirements.txt` files. 2. **Clarity MCP server available** (needed only for Path A): the `clarity-agent` MCP tools diff --git a/.github/agents/designer.md b/.github/agents/designer.md index 16c6dd003..c11c5ef3b 100644 --- a/.github/agents/designer.md +++ b/.github/agents/designer.md @@ -6,7 +6,7 @@ Owns the customer-facing experience of the `responsibleai/ASSERT` documentation site, the bundled examples, and the local viewer. Runs structured UX audits against the golden path that new users walk through: -1. Install (`pip install -e ".[otel]"` plus the selected example's `requirements.txt`, or equivalent) +1. Install (`pip install -e ".[phoenix]"` plus the selected example's `requirements.txt`, or equivalent) 2. Write or generate an eval spec (`assert-ai init` or hand-authored YAML) 3. Create or select a dataset (`pipeline.test_set`) 4. Run the evaluation (`assert-ai run --config ...`) diff --git a/.github/prompts/run-assert-eval.prompt.md b/.github/prompts/run-assert-eval.prompt.md index 484b4f8c6..89ac590ab 100644 --- a/.github/prompts/run-assert-eval.prompt.md +++ b/.github/prompts/run-assert-eval.prompt.md @@ -37,9 +37,9 @@ Copilot is for *answering questions* and *synthesis* — direct answers, failure 1. **ASSERT installed**: verify `assert-ai --help` succeeds. If not, guide install from PyPI — not an editable install of the user's own repo: ``` - python -m pip install "assert-ai[otel]" + python -m pip install "assert-ai[phoenix]" ``` - The target project owns its agent framework dependencies. For repository examples, install the adjacent `requirements.txt`; for a customer project, use that project's existing dependency manifest. `target.endpoint` needs `aiohttp`, which ships transitively via `litellm`'s own dependency — no separate extra to install. Use `pip install -e ".[otel]"` **only** when the working directory is a clone of the ASSERT repo itself; inside a customer repo it installs the wrong package. + The target project owns its agent framework and OpenInference instrumentor dependencies. For repository examples, install the adjacent `requirements.txt`; for a customer project, use that project's existing dependency manifest. `target.endpoint` needs `aiohttp`, which ships with ASSERT. Use `pip install -e ".[phoenix]"` **only** when the working directory is a clone of the ASSERT repo itself; inside a customer repo it installs the wrong package. 2. **Clarity MCP server available** (needed only for Path A): the `clarity-agent` MCP tools (`run_clarity`, `write_protocol_document`, `record_failure`, `record_suggestion`, …) are callable in this session. Clarity is the risk-discovery engine — the skill drives its real MCP tools, it does not reimplement it. If the tools are missing, the server is not wired up yet: offer `SETUP-CHECKLIST.md` (install `clarity-agent` with the `[mcp]` extra, run `clarity embed .` to generate `.vscode/mcp.json`, reload MCP servers) and confirm the LLM provider is configured (`clarity doctor` — Clarity supports GitHub Copilot, Anthropic, OpenAI, Azure AI, and Gemini). **This is not a blocker**: if the tools can't be made available, or the user would rather not set them up now, say so plainly and continue on Path B (Step 1b). Never strand the user on MCP setup when they came to measure something. diff --git a/.github/skills/ux-audit.md b/.github/skills/ux-audit.md index a8c4a2f98..6947c3ee8 100644 --- a/.github/skills/ux-audit.md +++ b/.github/skills/ux-audit.md @@ -11,7 +11,7 @@ Use this skill before launch, after README or CLI changes, or when feedback sugg ## Golden path steps 1. **Install and verify the CLI** - - Setup: `python -m pip install -e ".[otel]"` for ASSERT tracing, then `python -m pip install -r examples/travel_planner_langgraph/requirements.txt` for the golden-path target agent + - Setup: `python -m pip install -e ".[phoenix]"` for local Phoenix collection, then `python -m pip install -r examples/travel_planner_langgraph/requirements.txt` for the golden-path target agent and its LangChain instrumentation - ASSERT command: `assert-ai --help` 2. **Write an eval spec** - ASSERT command: `assert-ai init --model azure/gpt-5.4 --describe "A customer-support chatbot with order lookup and refund tools" -o eval_config.yaml` diff --git a/AGENTS.md b/AGENTS.md index c8a34796a..d3a7a9843 100644 --- a/AGENTS.md +++ b/AGENTS.md @@ -74,7 +74,7 @@ For preview customers, use `pip` in setup instructions: python -m venv .venv source .venv/bin/activate python -m pip install --upgrade pip -python -m pip install -e ".[otel]" +python -m pip install -e ".[phoenix]" # The flagship target imports LangGraph, LangChain Core, and LangChain OpenAI. python -m pip install -r examples/travel_planner_langgraph/requirements.txt cp .env.example .env @@ -91,7 +91,7 @@ Use the PowerShell equivalent on Windows: python -m venv .venv .\.venv\Scripts\Activate.ps1 python -m pip install --upgrade pip -python -m pip install -e ".[otel]" +python -m pip install -e ".[phoenix]" # The flagship target imports LangGraph, LangChain Core, and LangChain OpenAI. python -m pip install -r examples/travel_planner_langgraph/requirements.txt Copy-Item .env.example .env diff --git a/CHANGELOG.md b/CHANGELOG.md index 2ea8e81ec..b7f54637b 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -9,11 +9,30 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0 ### Added +- Clean-install checks for every documented ASSERT/example environment, including `pip check` and credential-free target imports. + ### Changed +- **Breaking, planned for 0.3.0:** optional dependencies now describe ASSERT capabilities rather than repository examples. `otel` is replaced by `phoenix`, `azure-aad` by `azure-auth`, and `embeddings` remains the offline/local embedding backend. The `langgraph`, `dspy`, `examples`, and `regression` extras are removed; install each agent framework from the target project's dependency manifest or the repository example's adjacent `requirements.txt`. `all` now means all optional ASSERT product capabilities: `phoenix`, `analysis`, `embeddings`, `azure-auth`, and `acs`. +- OpenInference instrumentors are owned by the runtime they instrument. ASSERT installs its LiteLLM instrumentor directly for Prompt Agent tracing; LangChain, OpenAI, and other framework instrumentors live with their target/example dependencies. +- Analysis keeps NumPy and the OpenAI embedding backend, while Phoenix owns the Pandas dependency used to convert its DataFrame spans. + +| 0.2 install | 0.3 replacement | +|---|---| +| `assert-ai[otel]` | `assert-ai[phoenix]` plus the target framework's OpenInference instrumentor | +| `assert-ai[azure-aad]` | `assert-ai[azure-auth]` | +| `assert-ai[embeddings]` | Unchanged; use for offline/local Sentence Transformers embeddings | +| `assert-ai[langgraph]` | Target-owned dependencies or an example's adjacent `requirements.txt` | +| `assert-ai[dspy]` | Target-owned dependencies or an example's adjacent `requirements.txt` | +| `assert-ai[examples]` | Each example's adjacent `requirements.txt` | +| `assert-ai[regression]` | `uv sync --group dev` from a repository checkout; SciPy is no longer required | + ### Fixed - `assert-ai --version` now reads the installed distribution metadata instead of reporting a hard-coded stale version. +- Declare `aiohttp`, which is directly used by the HTTP endpoint target, instead of relying on LiteLLM to install it transitively. +- Keep Bank Manager's GPT and non-GPT Azure routes compatible with ASSERT's OpenAI dependency range, and verify its documented installation with `pip check`. +- Traced callable targets that capture no spans now record an actionable invalid-trace warning instead of silently reporting valid trace metadata. ## [0.2.0] - 2026-08-14 diff --git a/README.md b/README.md index 9dc88daca..5ba78b028 100644 --- a/README.md +++ b/README.md @@ -39,7 +39,7 @@ From the natural language specification, the ASSERT pipeline derives behavior ca - **Curated behavior library** - a growing catalog of atomic, ready-to-use behavior presets ([`assert_ai/library/behaviors/`](assert_ai/library/behaviors/README.md)) spanning safety, bias/fairness, and agentic failure modes — the single source of truth for common behaviors, so you often don't have to write one from scratch. Pair with the [scenario library](assert_ai/library/scenarios/README.md) for ready-made application context. - **Test any model endpoint** via integrations with [LiteLLM](https://github.com/BerriAI/litellm), supporting 100+ model endpoints from platform providers such as Bedrock, Azure, OpenAI, VertexAI, Cohere, Anthropic, Sagemaker, HuggingFace, VLLM, NVIDIA NIM. - **Test any agent or multi-agent system** via integrations with [OpenInference](https://github.com/Arize-ai/openinference/). Evaluate a LangGraph agent, a CrewAI / OpenAI Agents SDK / DSPy / LlamaIndex / AutoGen system, custom multi-agent orchestration, a Python callable, or a hosted model — without rewriting the evaluation orchestration pipeline. -- **Agent trace-grounded judgment** - the recommended integration captures OpenTelemetry spans (OpenInference auto-instruments 33+ frameworks in two lines — `from assert_ai import auto_trace; auto_trace.enable()` — or you can emit your own with the OTel SDK) so the judge can cite tool calls, routing, model calls, and latency as evidence — not just the final response. +- **Agent trace-grounded judgment** - the recommended integration captures OpenTelemetry spans (install your framework's OpenInference instrumentor, then activate it in two lines — `from assert_ai import auto_trace; auto_trace.enable()` — or emit your own spans with the OTel SDK) so the judge can cite tool calls, routing, model calls, and latency as evidence — not just the final response. - **Test risky actions safely** - run a configured agent inside ASSERT's stock Docker sandbox, pass/mock/block its declared tool calls, deny direct internet access, and preserve attempted actions and audited proxy-aware egress as judge evidence. See the [sandboxed action-mediation example](examples/sandbox_action_mediation/README.md). - **Portable artifacts** - every stage writes JSON/JSONL files locally for inspection, CI, and sharing. - **Bundled local viewer** - browse runs side-by-side, pin a baseline, drill into per-behavior dimension breakdowns, and read judge justifications cited against the captured traces. @@ -68,7 +68,7 @@ Every eval starts from a risk, and you choose where it comes from. Clarity is re ASSERT needs **Python 3.11+**. If you want Clarity's discovery step, you also need **Python 3.12+** and an IDE with MCP support — VS Code + Copilot agent mode, Claude Code, or Cursor — because Clarity runs as an MCP server and can't be driven from a bare terminal. ```bash -pip install -e ".[otel]" # install ASSERT + local trace collection +pip install -e ".[phoenix]" # install ASSERT + local Phoenix trace collection pip install -r examples/travel_planner_langgraph/requirements.txt cp .env.example .env # add your provider key assert-ai --help # verify @@ -175,7 +175,7 @@ The same skill ships for three assistants, plus the workflows it follows: ```bash python -m pip install --upgrade pip # requires pip >= 24.1 -pip install -e ".[otel]" # install ASSERT + tracing +pip install -e ".[phoenix]" # install ASSERT + local Phoenix tracing pip install -r examples/travel_planner_langgraph/requirements.txt cp .env.example .env # add your provider key assert-ai run --config examples/travel_planner_langgraph/evals/budget_overrun.yaml diff --git a/docs/getting-started.md b/docs/getting-started.md index 7a2b525d6..3a4afb4f5 100644 --- a/docs/getting-started.md +++ b/docs/getting-started.md @@ -20,7 +20,7 @@ bash (macOS / Linux): python -m venv .venv source .venv/bin/activate python -m pip install --upgrade pip -python -m pip install -e ".[otel]" +python -m pip install -e ".[phoenix]" python -m pip install -r examples/travel_planner_langgraph/requirements.txt cp .env.example .env ``` @@ -35,14 +35,14 @@ PowerShell (Windows): python -m venv .venv .\.venv\Scripts\Activate.ps1 python -m pip install --upgrade pip -python -m pip install -e ".[otel]" +python -m pip install -e ".[phoenix]" python -m pip install -r examples/travel_planner_langgraph/requirements.txt Copy-Item .env.example .env ``` ### Run your first evaluation -The example's `auto_trace.py` calls `assert_ai.auto_trace.enable()`, which installs the available OpenInference instrumentors locally so the judge can cite tool calls, routing decisions, model calls, and latency as evidence. It does **not** start a Phoenix server. +The example's requirements install its LangChain OpenInference instrumentor. Its `auto_trace.py` then calls `assert_ai.auto_trace.enable()`, which discovers and activates installed instrumentors so the judge can cite tool calls, routing decisions, model calls, and latency as evidence. It does **not** install packages or start a Phoenix server. `phoenix serve` is optional — only run it if you want a browser UI to inspect the traces visually. The eval runs and the judge see the same span data either way. @@ -92,7 +92,7 @@ PowerShell (Windows) — full sequence: python -m venv .venv .\.venv\Scripts\Activate.ps1 python -m pip install --upgrade pip -python -m pip install -e ".[otel]" +python -m pip install -e ".[phoenix]" python -m pip install -r examples/travel_planner_langgraph/requirements.txt Copy-Item .env.example .env @@ -148,7 +148,7 @@ This works for any `azure/*` model string and uses LiteLLM's native ### Install the optional dependency ```bash -python -m pip install -e ".[azure-aad]" +python -m pip install -e ".[azure-auth]" ``` This pulls in `azure-identity` and lets ASSERT mint bearer tokens through @@ -176,7 +176,7 @@ to call. The same auth mode also applies to `azure_ai/*` LiteLLM routes, including hosted Azure AI Foundry agents (`azure_ai/agents/`). Those routes need `AZURE_AI_API_BASE` set to the Foundry project endpoint instead of -`AZURE_API_BASE`. No extra setup beyond `pip install -e ".[azure-aad]"` and +`AZURE_API_BASE`. No extra setup beyond `pip install -e ".[azure-auth]"` and `az login` (or Service Principal env vars). ### Local development with `az login` @@ -198,7 +198,7 @@ when multiple are attached, set `AZURE_CLIENT_ID` to its client ID; ### Troubleshooting - `LLMAuthError: ... azure-identity package is not installed` — run - `pip install -e ".[azure-aad]"` (or `assert-ai[azure-aad]` if you installed from PyPI). + `pip install -e ".[azure-auth]"` (or `assert-ai[azure-auth]` if you installed from PyPI). - `401` with a hint about *Cognitive Services OpenAI User* — the credential resolved, but the identity is missing the RBAC role on the resource. - A 401 that mentions the install hint instead — you are in `aad-fallback` diff --git a/docs/guides/troubleshooting.md b/docs/guides/troubleshooting.md index 27a7cd2bd..70faf87b3 100644 --- a/docs/guides/troubleshooting.md +++ b/docs/guides/troubleshooting.md @@ -67,6 +67,6 @@ assert-ai results compare-suites / / ## 7. Environment-specific fixes -- macOS `litellm` install issue (`AttributeError: module 'litellm' has no attribute 'acompletion'`): some macOS security tooling can silently truncate the `litellm` wheel during extraction with `uv sync`. The `pip install -e ".[otel]"` path above uses copy-based installs and avoids this. If you must use `uv`, grant your terminal Full Disk Access and run `xattr -cr .venv` to clear quarantine attributes. +- macOS `litellm` install issue (`AttributeError: module 'litellm' has no attribute 'acompletion'`): some macOS security tooling can silently truncate the `litellm` wheel during extraction with `uv sync`. The `pip install -e ".[phoenix]"` path above uses copy-based installs and avoids this. If you must use `uv`, grant your terminal Full Disk Access and run `xattr -cr .venv` to clear quarantine attributes. - Windows `UnicodeEncodeError` when running auto-trace demos: set `$env:PYTHONUTF8 = "1"` before `python -m examples.phoenix_auto_trace.travel_openai`. - Docker-backed Prompt Agent configs fail with `docker daemon unavailable`: ensure Docker Desktop is running for `examples/prompt_agents/health_assistant_sandbox.yaml` and `examples/prompt_agents/health_assistant_external.yaml`. diff --git a/docs/targets/README.md b/docs/targets/README.md index baf422901..f72c58e3b 100644 --- a/docs/targets/README.md +++ b/docs/targets/README.md @@ -21,7 +21,7 @@ Pick a target based on how your agent is built. For any agent or multi-agent system you can invoke from Python — LangGraph, CrewAI, OpenAI Agents SDK, DSPy, LlamaIndex, AutoGen / MAF, custom orchestration, or any other framework — use the **callable target with OpenTelemetry trace capture**. This is the universal integration boundary, and the OTel spans give the judge the tool calls, routing, and intermediate decisions it needs to score real behavior. -For 33+ supported frameworks the instrumentation is two lines: +Install the target framework's matching `openinference-instrumentation-*` package first. For 33+ supported frameworks, activating that installed instrumentor is then two lines: ```python from assert_ai import auto_trace diff --git a/docs/targets/callable.md b/docs/targets/callable.md index 30bf377a7..69319640f 100644 --- a/docs/targets/callable.md +++ b/docs/targets/callable.md @@ -27,13 +27,24 @@ Pick the path that exposes enough internals for the judge to score what matters. When your agent emits OpenTelemetry spans, the judge can cite tool arguments, routing decisions, model calls, and latency as evidence — not just the final response. This is the integration shape every flagship example uses. -For 33 supported frameworks (OpenAI Agents SDK, LangChain/LangGraph, CrewAI, DSPy, LlamaIndex, AutoGen, MAF, Pydantic AI, Smolagents, Instructor, Haystack, …), instrumentation is a small helper call at the top of your callable module: +Install the OpenInference instrumentor that matches the framework already used by your target. ASSERT does not install target-framework packages on your behalf: + +| Target framework | Install | +|---|---| +| LangChain / LangGraph | `python -m pip install openinference-instrumentation-langchain` | +| OpenAI SDK | `python -m pip install openinference-instrumentation-openai` | +| OpenAI Agents SDK | `python -m pip install openinference-instrumentation-openai-agents` | +| CrewAI | `python -m pip install openinference-instrumentation-crewai` | +| DSPy | `python -m pip install openinference-instrumentation-dspy` | +| LlamaIndex | `python -m pip install openinference-instrumentation-llama-index` | + +For all 33 supported frameworks, instrumentation is then a small helper call at the top of your callable module: ```python # e.g. examples/travel_planner_langgraph/auto_trace.py from assert_ai import auto_trace -auto_trace.enable() # installs available OpenInference instrumentors without starting Phoenix +auto_trace.enable() # activates installed OpenInference instrumentors without starting Phoenix def chat_sync(message: str, history: list[dict[str, str]] | None = None) -> str: return run_my_agent(message, history) @@ -53,6 +64,8 @@ pipeline: See `examples/phoenix_auto_trace/` for one runnable file per framework. +ASSERT captures these spans in process during evaluation. Install `assert-ai[phoenix]` only when you also want to run the local Phoenix collector and browser UI. + ### Why traces matter to the judge The judge can only score what it sees. With final text only: @@ -142,7 +155,7 @@ pipeline: endpoint: https://my-agent.internal/chat ``` -The runtime POSTs `{"message": "...", "history": [...]}` (same `history` shape as above) and expects `{"response": "..."}` back. Requires [`aiohttp`](https://github.com/aio-libs/aiohttp) (`pip install aiohttp`). +The runtime POSTs `{"message": "...", "history": [...]}` (same `history` shape as above) and expects `{"response": "..."}` back. The required [`aiohttp`](https://github.com/aio-libs/aiohttp) client ships with ASSERT. For black-box services, that response text is all the judge sees. An instrumented endpoint can additionally return top-level adapter-shaped `events` so tool calls, tool results, and mediation outcomes become first-class judge evidence: diff --git a/examples/README.md b/examples/README.md index 9c77f848d..48d89582a 100644 --- a/examples/README.md +++ b/examples/README.md @@ -10,7 +10,7 @@ can inspect tool calls, routing, and intermediate decisions. python -m venv .venv .\.venv\Scripts\Activate.ps1 python -m pip install --upgrade pip -python -m pip install -e ".[otel]" +python -m pip install -e ".[phoenix]" python -m pip install -r examples/travel_planner_langgraph/requirements.txt Copy-Item .env.example .env # Set AZURE_API_BASE and AZURE_API_KEY. diff --git a/examples/azure_doc_qa/IMPROVEMENT_JOURNEY.md b/examples/azure_doc_qa/IMPROVEMENT_JOURNEY.md index 1c4605fdf..35d61cffe 100644 --- a/examples/azure_doc_qa/IMPROVEMENT_JOURNEY.md +++ b/examples/azure_doc_qa/IMPROVEMENT_JOURNEY.md @@ -430,7 +430,7 @@ resistance in multi-step conversations). ```bash # Install cd /path/to/ASSERT -pip install -e ".[otel]" +pip install -e . pip install -r examples/azure_doc_qa/requirements.txt cp .env.example .env # configure AZURE_API_BASE, AZURE_API_KEY diff --git a/examples/azure_doc_qa/README.md b/examples/azure_doc_qa/README.md index 4ed518bbe..ef2eee5c1 100644 --- a/examples/azure_doc_qa/README.md +++ b/examples/azure_doc_qa/README.md @@ -22,7 +22,7 @@ questions about Azure AI Foundry documentation. It showcases: | `docs/` | The fictional public + internal document corpus the agent retrieves from. | | `evals/.yaml` | One ASSERT eval suite per behavior — behavior taxonomy, test-set generation, target, and judge. | | `IMPROVEMENT_JOURNEY.md` | The eval-driven-development log — what each round of failures changed in the agent. | -| `auto_trace.py` | Legacy tracing shim. Not used by the current configs: ASSERT installs the instrumentors itself when `target.trace` is set. | +| `auto_trace.py` | Legacy tracing shim. Not used by the current configs: ASSERT activates the instrumentors installed by this example's requirements when `target.trace` is set. | | `README.md` | This file. | ## Architecture @@ -59,7 +59,7 @@ Each risk gets its own suite under `evals/`, so the two are measured independent ```bash # From the repo root -python -m pip install -e ".[otel]" +python -m pip install -e . python -m pip install -r examples/azure_doc_qa/requirements.txt cp .env.example .env # set AZURE_API_BASE, AZURE_API_KEY, ASSERT_AZURE_DEPLOYMENT diff --git a/examples/billing_support_agent/README.md b/examples/billing_support_agent/README.md index b90dd1a36..667ceebcf 100644 --- a/examples/billing_support_agent/README.md +++ b/examples/billing_support_agent/README.md @@ -76,7 +76,7 @@ Set these in a `.env` at the repo root — never commit it. ```powershell # 0. install -python -m pip install -e ".[otel]" +python -m pip install -e . Copy-Item .env.example .env # Set AZURE_API_KEY and AZURE_API_BASE. diff --git a/examples/change_control_agent/README.md b/examples/change_control_agent/README.md index a353becb0..59f8e732d 100644 --- a/examples/change_control_agent/README.md +++ b/examples/change_control_agent/README.md @@ -92,7 +92,7 @@ rule-breaking. From the repo root: ```bash -python -m pip install -e ".[otel]" +python -m pip install -e . cp examples/change_control_agent/.env.example examples/change_control_agent/.env # Edit the .env: AZURE_API_KEY and AZURE_API_BASE are required. diff --git a/examples/incident_triage_agent/README.md b/examples/incident_triage_agent/README.md index d148aeda8..495262ab1 100644 --- a/examples/incident_triage_agent/README.md +++ b/examples/incident_triage_agent/README.md @@ -43,7 +43,7 @@ From the repo root: python -m venv .venv source .venv/bin/activate python -m pip install --upgrade pip -python -m pip install -e ".[otel]" +python -m pip install -e . cp examples/incident_triage_agent/.env.example examples/incident_triage_agent/.env # Set AZURE_API_KEY and AZURE_API_BASE. diff --git a/examples/langgraph-foundry-hosted/.env.example b/examples/langgraph-foundry-hosted/.env.example index 99dc57f60..c9aae5b9a 100644 --- a/examples/langgraph-foundry-hosted/.env.example +++ b/examples/langgraph-foundry-hosted/.env.example @@ -29,7 +29,7 @@ AZURE_API_BASE= AZURE_API_KEY= # Option B: Entra ID (AAD) auth instead of a key — requires -# `pip install -e ".[azure-aad]"` and the "Cognitive Services OpenAI User" +# `pip install -e ".[azure-auth]"` and the "Cognitive Services OpenAI User" # role on the Azure OpenAI resource. Uncomment to force AAD even when # AZURE_API_KEY is set: # ASSERT_AZURE_USE_AAD=1 diff --git a/examples/langgraph-foundry-hosted/README.md b/examples/langgraph-foundry-hosted/README.md index 4b7048fbd..ccd9b177f 100644 --- a/examples/langgraph-foundry-hosted/README.md +++ b/examples/langgraph-foundry-hosted/README.md @@ -68,7 +68,7 @@ langgraph-foundry-hosted/ - **Model deployment** in Foundry (e.g. `gpt-5.4`) - **Azure CLI** signed in: `az login` - **Azure Developer CLI** (`azd`) for deployment -- **`assert-ai`** installed from the repo root with `pip install -e ".[otel]"`; +- **`assert-ai`** installed from the repo root with `pip install -e .`; this example's framework dependencies install from its `requirements.txt` ## Environment variables @@ -90,7 +90,7 @@ cp .env.example .env # Windows: Copy-Item .env.example .env > **ASSERT model auth:** the eval pipeline calls `azure/gpt-5.4` via LiteLLM > for every stage, which is a *separate* credential from the hosted agent. > Provide either an `AZURE_API_KEY` + `AZURE_API_BASE` pair, or use Entra ID -> auth (`pip install -e ".[azure-aad]"`, set `ASSERT_AZURE_USE_AAD=1`, and grant +> auth (`pip install -e ".[azure-auth]"`, set `ASSERT_AZURE_USE_AAD=1`, and grant > the caller the **Cognitive Services OpenAI User** role on the Azure OpenAI > resource). See [`.env.example`](.env.example) for the full template. diff --git a/examples/phoenix_auto_trace/README.md b/examples/phoenix_auto_trace/README.md index d1e7a16e3..ae1b95b43 100644 --- a/examples/phoenix_auto_trace/README.md +++ b/examples/phoenix_auto_trace/README.md @@ -83,7 +83,7 @@ travel_crewai.py -> CrewAI + 2-line instrumentation + multi-agent crew ```bash # From the repo root -python -m pip install -e ".[otel]" +python -m pip install -e ".[phoenix]" python -m pip install -r examples/phoenix_auto_trace/requirements.txt # Optional: start Phoenix in a second terminal to browse traces diff --git a/examples/prompt_agents/README.md b/examples/prompt_agents/README.md index 4abb00068..d79aa7155 100644 --- a/examples/prompt_agents/README.md +++ b/examples/prompt_agents/README.md @@ -30,7 +30,7 @@ Shared tool definitions live in [`../agents/`](../agents/). python -m venv .venv source .venv/bin/activate python -m pip install --upgrade pip -python -m pip install -e ".[otel]" +python -m pip install -e . cp .env.example .env # Set AZURE_API_BASE and AZURE_API_KEY. ``` @@ -41,7 +41,7 @@ PowerShell: python -m venv .venv .\.venv\Scripts\Activate.ps1 python -m pip install --upgrade pip -python -m pip install -e ".[otel]" +python -m pip install -e . Copy-Item .env.example .env ``` diff --git a/examples/science_research_agent/README.md b/examples/science_research_agent/README.md index 6a99a53a6..835019426 100644 --- a/examples/science_research_agent/README.md +++ b/examples/science_research_agent/README.md @@ -68,7 +68,7 @@ rule-breaking. From the repo root: ```bash -python -m pip install -e ".[otel]" +python -m pip install -e . cp examples/science_research_agent/.env.example examples/science_research_agent/.env # Edit the .env: AZURE_API_KEY, AZURE_API_BASE, and TAVILY_API_KEY are required. diff --git a/examples/travel_planner_langgraph/README.md b/examples/travel_planner_langgraph/README.md index e9635193f..e858a5d3a 100644 --- a/examples/travel_planner_langgraph/README.md +++ b/examples/travel_planner_langgraph/README.md @@ -8,7 +8,7 @@ This is the recommended starting point for evaluating any agent or multi-agent s |---|---| | `agent.py` | The LangGraph agent itself, its five tools, and the `chat` callable ASSERT evaluates. | | `evals/.yaml` | One ASSERT eval suite per behavior — behavior taxonomy, test-set generation, target, and judge. | -| `auto_trace.py` | A thin re-export shim used by the tracing docs and CI. Current configs don't need it — ASSERT installs the instrumentors itself when `target.trace` is set. | +| `auto_trace.py` | A thin re-export shim used by the tracing docs and CI. Current configs don't need it — ASSERT activates the instrumentors installed by this example's requirements when `target.trace` is set. | | `README.md` | This file. | Mock tools are defined inline in `agent.py`, so there is no separate `tools.py`. @@ -21,7 +21,7 @@ Mock tools are defined inline in `agent.py`, so there is no separate `tools.py`. generated test case | v -assert-ai inference loop (installs OTel instrumentors) +assert-ai inference loop (activates installed OTel instrumentors) | v chat(message) @@ -109,7 +109,7 @@ From the repo root: python -m venv .venv source .venv/bin/activate python -m pip install --upgrade pip -python -m pip install -e ".[otel]" +python -m pip install -e ".[phoenix]" python -m pip install -r examples/travel_planner_langgraph/requirements.txt cp .env.example .env # Edit .env with AZURE_API_BASE and AZURE_API_KEY. diff --git a/examples/travel_planner_neurosan/README.md b/examples/travel_planner_neurosan/README.md index 8ecb9315e..800bebe8a 100644 --- a/examples/travel_planner_neurosan/README.md +++ b/examples/travel_planner_neurosan/README.md @@ -7,7 +7,7 @@ This is the NeurOSan-pattern variant of the travel-planner agent. The flagship [ ## Why this matters -The `phoenix_auto_trace/` demos show the happy path: the central `assert_ai.auto_trace` helper installs available framework instrumentors. But what about custom orchestrators, in-house +The `phoenix_auto_trace/` demos show the happy path: the central `assert_ai.auto_trace` helper activates installed framework instrumentors. But what about custom orchestrators, in-house frameworks, or agents that Phoenix doesn't auto-instrument? This demo proves the general case: if your code emits OpenTelemetry spans following @@ -78,7 +78,7 @@ Trace-aware judging lets the eval inspect both the final answer and the spans be python -m venv .venv source .venv/bin/activate python -m pip install --upgrade pip -python -m pip install -e ".[otel]" +python -m pip install -e ".[phoenix]" cp .env.example .env # set AZURE_API_BASE and AZURE_API_KEY phoenix serve # optional: browse traces while the run executes diff --git a/scripts/render_trade_off.py b/scripts/render_trade_off.py index 51d0bad91..fa3c17c1d 100644 --- a/scripts/render_trade_off.py +++ b/scripts/render_trade_off.py @@ -22,8 +22,7 @@ python scripts/render_trade_off.py -This script intentionally stays stdlib-friendly: only matplotlib (already -a base dependency of assert-ai) is required. +Install its dependencies from ``scripts/requirements.txt`` before running. """ from __future__ import annotations From 8561aa2917586daaa447eb7e9f2091a578a343cc Mon Sep 17 00:00:00 2001 From: tangym Date: Fri, 28 Aug 2026 17:41:43 +0000 Subject: [PATCH 13/18] fix(trace): persist span validation in artifacts Copy trace validation into the final interaction event so zero-span guidance survives inference_set.jsonl serialization. Cover both the session payload and the written artifact; no change for traces that already contain spans. --- assert_ai/core/otel_session.py | 1 + tests/test_framework_agnostic.py | 5 +++ tests/test_inference_stage.py | 70 ++++++++++++++++++++++++++++++++ 3 files changed, 76 insertions(+) diff --git a/assert_ai/core/otel_session.py b/assert_ai/core/otel_session.py index 40f3ff1dd..6a03abd2a 100644 --- a/assert_ai/core/otel_session.py +++ b/assert_ai/core/otel_session.py @@ -281,6 +281,7 @@ async def run_turn(self, messages: list[Message]) -> TurnResult: "raw": { "trace_events": all_conversation_events, "trace_metadata": full_aggregate, + "span_validation": turn_trace["validation"], }, }) diff --git a/tests/test_framework_agnostic.py b/tests/test_framework_agnostic.py index d70f186e8..121c6c086 100644 --- a/tests/test_framework_agnostic.py +++ b/tests/test_framework_agnostic.py @@ -664,6 +664,11 @@ async def _run(): "openinference-instrumentation-*", result.raw["span_validation"]["warnings"][0], ) + final_interaction = result.interaction_messages[-1] + self.assertEqual( + final_interaction["raw"]["span_validation"], + result.raw["span_validation"], + ) self.assertIn("openinference-instrumentation-*", logs.output[0]) finally: del sys.modules["_test_otel_target"] diff --git a/tests/test_inference_stage.py b/tests/test_inference_stage.py index c197bc15f..9e66f5ba7 100644 --- a/tests/test_inference_stage.py +++ b/tests/test_inference_stage.py @@ -18,6 +18,76 @@ class InferenceStageTest(unittest.IsolatedAsyncioTestCase): + async def test_run_inference_persists_span_validation_from_interaction_messages(self) -> None: + warning = ( + "No OpenTelemetry spans were captured. Install the matching " + "openinference-instrumentation-* package." + ) + + class FakeSession: + runtime_mode = "otel_traced" + + async def open(self) -> None: + return None + + async def close(self) -> None: + return None + + async def run_turn(self, initial_messages): + validation = {"valid": False, "warnings": [warning]} + return TurnResult( + text="model response", + state_messages=list(initial_messages) + [Message(role="assistant", content="model response")], + interaction_messages=[ + {"role": "user", "content": "seed prompt"}, + { + "role": "assistant", + "content": "model response", + "raw": { + "trace_events": [], + "trace_metadata": {}, + "span_validation": validation, + }, + }, + ], + raw={"span_validation": validation}, + ) + + test_case_row = { + "type": "prompt", + "test_case_id": "test-case-1", + "seed": {"description": "seed prompt"}, + } + + with TemporaryDirectory() as tmp_dir: + tmp_path = Path(tmp_dir) + test_set_path = tmp_path / "test_set.jsonl" + out_dir = tmp_path / "run" + test_set_path.write_text(json.dumps(test_case_row) + "\n", encoding="utf-8") + + with patch("assert_ai.stages.inference._build_hosted_session", return_value=FakeSession()): + await run_inference( + test_set_path=str(test_set_path), + target=TargetConfig(model="azure/gpt-5.4"), + evaluation=EvaluationConfig(judge=JudgeConfig(model="azure/gpt-5.4")), + save_dir=str(out_dir), + run_id="run-span-validation", + ) + + row = json.loads((out_dir / "inference_set.jsonl").read_text(encoding="utf-8")) + + assistant_events = [ + event + for event in row["events"] + if event["actor"] == "target" + and event["edit"]["type"] == "add_message" + and event["edit"]["message"]["role"] == "assistant" + ] + self.assertEqual( + assistant_events[-1]["raw"]["span_validation"], + {"valid": False, "warnings": [warning]}, + ) + def test_inference_config_fingerprint_changes_with_seeds_content(self) -> None: """Fingerprint must include seed content so regenerating test_set invalidates cached transcripts. From c97b83d58b0dc3914406aac752783152c64f16d9 Mon Sep 17 00:00:00 2001 From: tangym Date: Mon, 31 Aug 2026 21:47:14 +0000 Subject: [PATCH 14/18] fix(example): use OpenAI v1 for Foundry models Route compatible non-GPT Foundry deployments through the documented\n/openai/v1 endpoint. Add a mock transport assertion for the final chat\ncompletions URL and model request field. --- examples/bank_manager_agent_control/agent.py | 11 ++--- .../tests/test_model_config.py | 43 ++++++++++++++++++- 2 files changed, 45 insertions(+), 9 deletions(-) diff --git a/examples/bank_manager_agent_control/agent.py b/examples/bank_manager_agent_control/agent.py index 96f47580a..6820e7a82 100644 --- a/examples/bank_manager_agent_control/agent.py +++ b/examples/bank_manager_agent_control/agent.py @@ -131,10 +131,7 @@ def _build_llm() -> BaseChatModel: - GPT-family deployments (model name starts with ``gpt``) are served via the Azure OpenAI gateway (``/openai/deployments/{name}``) and use ``AzureChatOpenAI``. - - Everything else (DeepSeek, Mistral, Llama, Phi, Cohere, …) is served - through Azure AI Inference's OpenAI-compatible endpoint - (``/models/chat/completions``). These deployments typically run behind - SGLang/vLLM and require the ``model`` body field to be populated. + - Compatible Foundry deployments use ``/openai/v1/chat/completions`` with the deployment name in ``model``. """ deployment = os.environ.get("AGENT_MODEL", "gpt-4o-mini") @@ -170,9 +167,9 @@ def _build_llm() -> BaseChatModel: kwargs["temperature"] = 0.0 return AzureChatOpenAI(**kwargs) - # Azure AI Inference route — ChatOpenAI appends ``/chat/completions`` to - # this base URL and sends ``model`` in the request body as SGLang requires. - inference_endpoint = base.rstrip("/") + "/models" + # ChatOpenAI appends ``/chat/completions`` and sends the deployment name in + # the ``model`` field required by the Azure OpenAI v1 endpoint. + inference_endpoint = base.rstrip("/") + "/openai/v1" return ChatOpenAI( base_url=inference_endpoint, api_key=key, diff --git a/examples/bank_manager_agent_control/tests/test_model_config.py b/examples/bank_manager_agent_control/tests/test_model_config.py index b55c6c2e4..2322041f6 100644 --- a/examples/bank_manager_agent_control/tests/test_model_config.py +++ b/examples/bank_manager_agent_control/tests/test_model_config.py @@ -2,10 +2,14 @@ import _bootstrap # noqa: F401 +import json import os import unittest from unittest.mock import patch +import httpx +from langchain_openai import ChatOpenAI + import agent @@ -39,18 +43,53 @@ def test_gpt_model_uses_azure_openai_route(self, model_class): ) @patch("agent.ChatOpenAI") - def test_non_gpt_model_uses_inference_compatible_route(self, model_class): + def test_non_gpt_model_uses_openai_v1_route(self, model_class): with patch.dict(os.environ, {"AGENT_MODEL": "DeepSeek-V3"}): agent._build_llm() model_class.assert_called_once_with( - base_url="https://example.openai.azure.com/models", + base_url="https://example.openai.azure.com/openai/v1", api_key="test-key", model="DeepSeek-V3", temperature=0.0, max_tokens=4000, ) + @patch("agent.ChatOpenAI") + def test_non_gpt_model_sends_openai_v1_chat_request(self, model_class): + with patch.dict(os.environ, {"AGENT_MODEL": "DeepSeek-V3"}): + agent._build_llm() + + requests = [] + + def handle_request(request): + requests.append(request) + return httpx.Response( + 200, + json={ + "id": "chatcmpl-test", + "object": "chat.completion", + "created": 0, + "model": "DeepSeek-V3", + "choices": [{ + "index": 0, + "message": {"role": "assistant", "content": "Hello"}, + "finish_reason": "stop", + }], + }, + ) + + transport = httpx.MockTransport(handle_request) + model = ChatOpenAI( + **model_class.call_args.kwargs, + http_client=httpx.Client(transport=transport), + http_async_client=httpx.AsyncClient(transport=transport), + ) + model.invoke("Hello") + + self.assertEqual(requests[0].url.path, "/openai/v1/chat/completions") + self.assertEqual(json.loads(requests[0].content)["model"], "DeepSeek-V3") + if __name__ == "__main__": unittest.main() \ No newline at end of file From 33ae181265dd7bd735392ea653aae767cff4f619 Mon Sep 17 00:00:00 2001 From: tangym Date: Mon, 31 Aug 2026 21:47:40 +0000 Subject: [PATCH 15/18] fix(trace): retain diagnostics for empty responses Persist assistant events when they carry raw trace metadata even if the\nresponse text is empty. This keeps span validation in inference artifacts\nfor empty target responses. --- assert_ai/stages/inference.py | 5 +++-- tests/test_inference_stage.py | 8 ++++---- 2 files changed, 7 insertions(+), 6 deletions(-) diff --git a/assert_ai/stages/inference.py b/assert_ai/stages/inference.py index 7beddebf2..581663701 100644 --- a/assert_ai/stages/inference.py +++ b/assert_ai/stages/inference.py @@ -365,6 +365,7 @@ def _record_interaction_messages( if role == "assistant": tool_calls = message.get("tool_calls") + raw = message.get("raw") if isinstance(message.get("raw"), dict) else None if isinstance(tool_calls, list) and tool_calls: pending_target_llm_call_id = llm_call_id for tool_call in tool_calls: @@ -375,13 +376,13 @@ def _record_interaction_messages( tool_args = tool_call.get("arguments") if isinstance(tool_call.get("arguments"), dict) else {} if tool_call_id: pending_tool_calls[tool_call_id] = (tool_name, tool_args) - if content: + if content or raw: message_id = f"event:{len(transcript.events)}" transcript.add_event(TranscriptEvent( view=["target", "combined"], actor="target", edit=AddMessageEdit(message=TranscriptMessage(role="assistant", content=content)), - raw=message.get("raw") if isinstance(message.get("raw"), dict) else None, + raw=raw, )) if llm_call_id is not None: transcript.link_llm_call_to_message(llm_call_id, message_id) diff --git a/tests/test_inference_stage.py b/tests/test_inference_stage.py index 9e66f5ba7..42f42cc24 100644 --- a/tests/test_inference_stage.py +++ b/tests/test_inference_stage.py @@ -18,7 +18,7 @@ class InferenceStageTest(unittest.IsolatedAsyncioTestCase): - async def test_run_inference_persists_span_validation_from_interaction_messages(self) -> None: + async def test_run_inference_persists_span_validation_for_empty_response(self) -> None: warning = ( "No OpenTelemetry spans were captured. Install the matching " "openinference-instrumentation-* package." @@ -36,13 +36,13 @@ async def close(self) -> None: async def run_turn(self, initial_messages): validation = {"valid": False, "warnings": [warning]} return TurnResult( - text="model response", - state_messages=list(initial_messages) + [Message(role="assistant", content="model response")], + text="", + state_messages=list(initial_messages) + [Message(role="assistant", content="")], interaction_messages=[ {"role": "user", "content": "seed prompt"}, { "role": "assistant", - "content": "model response", + "content": "", "raw": { "trace_events": [], "trace_metadata": {}, From 78e7f77a9ba212fcf889945f0bada486175ef5f6 Mon Sep 17 00:00:00 2001 From: tangym Date: Mon, 31 Aug 2026 21:47:57 +0000 Subject: [PATCH 16/18] fix(trace): honor span collector contract Consume injected collectors, prevent span replay and concurrent sharing,\nand merge backend validation warnings into persisted trace diagnostics.\nKeep the legacy exporter path unchanged and cover each behavior. --- assert_ai/core/collector.py | 2 +- assert_ai/core/otel_session.py | 72 +++++++++++-- tests/test_framework_agnostic.py | 179 +++++++++++++++++++++++++++++++ 3 files changed, 246 insertions(+), 7 deletions(-) diff --git a/assert_ai/core/collector.py b/assert_ai/core/collector.py index fe79aaea0..a522ed350 100644 --- a/assert_ai/core/collector.py +++ b/assert_ai/core/collector.py @@ -41,7 +41,7 @@ class SpanCollector(Protocol): def get_spans( self, - project_name: str, + project_name: str | None = None, *, start_time: str | None = None, end_time: str | None = None, diff --git a/assert_ai/core/otel_session.py b/assert_ai/core/otel_session.py index 6a03abd2a..db9906849 100644 --- a/assert_ai/core/otel_session.py +++ b/assert_ai/core/otel_session.py @@ -22,8 +22,11 @@ import inspect import logging +import threading import uuid +import weakref from contextlib import nullcontext +from datetime import UTC, datetime from pathlib import Path from typing import Any @@ -32,7 +35,6 @@ from assert_ai.core.model_client import Message from assert_ai.core.otel import ( InMemoryTraceExporter, - OTelSpan, TraceExporter, _spans_to_events, compress_trace_for_judge, @@ -40,7 +42,6 @@ ) from assert_ai.core.session import TurnResult - log = logging.getLogger(__name__) @@ -66,9 +67,14 @@ class OTelTracedSession: The ``collector`` parameter accepts any :class:`SpanCollector` — the preferred, Protocol-based interface. ``exporter`` (the older :class:`TraceExporter` interface) is still supported for backward - compatibility. + compatibility. When both are supplied, ``collector`` takes precedence. + A collector instance is owned by one open session at a time; use a separate + collector for each concurrently running session. """ + _collector_owners: dict[int, weakref.ReferenceType[OTelTracedSession]] = {} + _collector_owners_lock = threading.Lock() + def __init__( self, *, @@ -93,6 +99,7 @@ def __init__( self._supports_history = False self._session_id = "" self._turn_traces: list[dict[str, Any]] = [] + self._consumed_collector_spans: set[tuple[str, str]] = set() self._live_otel = live_otel self._warned_no_spans = False @@ -149,14 +156,44 @@ async def open(self) -> None: self._supports_history = "history" in sig.parameters self._session_id = uuid.uuid4().hex[:12] self._turn_traces = [] + self._consumed_collector_spans = set() self._warned_no_spans = False - if self._live_exporter is not None: - self._live_exporter.setup() + self._claim_collector() + try: + if self._live_exporter is not None: + self._live_exporter.setup() + except Exception: + self._release_collector() + raise async def close(self) -> None: + self._release_collector() self._callable = None self._turn_traces = [] + def _claim_collector(self) -> None: + if self._collector is None: + return + collector_id = id(self._collector) + with self._collector_owners_lock: + owner_ref = self._collector_owners.get(collector_id) + owner = owner_ref() if owner_ref is not None else None + if owner is not None and owner is not self: + raise RuntimeError( + "A SpanCollector instance can belong to only one open " + "OTelTracedSession. Create a separate collector per session." + ) + self._collector_owners[collector_id] = weakref.ref(self) + + def _release_collector(self) -> None: + if self._collector is None: + return + collector_id = id(self._collector) + with self._collector_owners_lock: + owner_ref = self._collector_owners.get(collector_id) + if owner_ref is not None and owner_ref() is self: + self._collector_owners.pop(collector_id, None) + async def run_turn(self, messages: list[Message]) -> TurnResult: """Execute one turn: invoke target, capture traces, return rich result. @@ -187,6 +224,7 @@ async def run_turn(self, messages: list[Message]) -> TurnResult: break turn_id = f"{self._session_id}_turn_{len(self._turn_traces)}" + collection_start = datetime.now(UTC).isoformat() # Invoke the callable (which triggers the instrumented agent) if self._supports_history: @@ -212,9 +250,31 @@ async def run_turn(self, messages: list[Message]) -> TurnResult: response_text = str(response_text) # Collect traces for this turn - turn_spans = self._exporter.export_session(turn_id) + if self._collector is not None: + turn_spans = self._collector.get_spans( + project_name=None, + start_time=collection_start, + end_time=datetime.now(UTC).isoformat(), + ) + turn_spans = [ + span + for span in turn_spans + if (span.trace_id, span.span_id) not in self._consumed_collector_spans + ] + self._consumed_collector_spans.update( + (span.trace_id, span.span_id) for span in turn_spans + ) + else: + turn_spans = self._exporter.export_session(turn_id) validation = validate_spans(turn_spans) + if self._collector is not None: + collector_warnings = self._collector.validate(turn_spans) + validation.warnings = list(dict.fromkeys([ + *validation.warnings, + *collector_warnings, + ])) + validation.valid = not validation.warnings if not turn_spans and not self._warned_no_spans: log.warning(validation.warnings[0]) self._warned_no_spans = True diff --git a/tests/test_framework_agnostic.py b/tests/test_framework_agnostic.py index 121c6c086..73d514dc5 100644 --- a/tests/test_framework_agnostic.py +++ b/tests/test_framework_agnostic.py @@ -1277,6 +1277,185 @@ def validate(self, spans): ) self.assertEqual(session.runtime_mode, "otel_traced") + def test_run_turn_consumes_collector_spans(self): + import sys + import types + + from assert_ai.core.collector import ListCollector + from assert_ai.core.model_client import Message + from assert_ai.core.otel_session import OTelTracedSession + + mod = types.ModuleType("_test_collector_target") + mod.target = lambda message: f"response to {message}" + sys.modules["_test_collector_target"] = mod + + span = OTelSpan( + trace_id="t1", span_id="s1", parent_span_id=None, + name="llm_call", kind="LLM", + start_time_ns=0, end_time_ns=5_000_000, + attributes={ + "session.id": "collected-session", + "output.value": "response", + "llm.model_name": "gpt-4o", + "llm.token_count.prompt": 5, + "llm.token_count.completion": 2, + "openinference.span.kind": "LLM", + }, + ) + + try: + session = OTelTracedSession( + callable_ref="_test_collector_target:target", + collector=ListCollector([span]), + ) + + async def _run(): + await session.open() + result = await session.run_turn([Message(role="user", content="test")]) + await session.close() + return result + + result = asyncio.run(_run()) + self.assertTrue(result.raw["span_validation"]["valid"]) + self.assertEqual(result.raw["trace_metadata"]["llm_call_count"], 1) + self.assertEqual(len(result.raw["trace_events"]), 1) + finally: + del sys.modules["_test_collector_target"] + + def test_run_turn_persists_collector_validation_warnings(self): + import sys + import types + + from assert_ai.core.collector import ListCollector + from assert_ai.core.model_client import Message + from assert_ai.core.otel_session import OTelTracedSession + + class WarningCollector(ListCollector): + def validate(self, spans): + return ["backend-specific warning"] + + mod = types.ModuleType("_test_collector_validation_target") + mod.target = lambda message: f"response to {message}" + sys.modules["_test_collector_validation_target"] = mod + + span = OTelSpan( + trace_id="t1", span_id="s1", parent_span_id=None, + name="llm_call", kind="LLM", + start_time_ns=0, end_time_ns=5_000_000, + attributes={ + "session.id": "collected-session", + "output.value": "response", + "llm.model_name": "gpt-4o", + "llm.token_count.prompt": 5, + "llm.token_count.completion": 2, + "openinference.span.kind": "LLM", + }, + ) + + try: + session = OTelTracedSession( + callable_ref="_test_collector_validation_target:target", + collector=WarningCollector([span]), + ) + + async def _run(): + await session.open() + result = await session.run_turn([Message(role="user", content="test")]) + await session.close() + return result + + result = asyncio.run(_run()) + expected = {"valid": False, "warnings": ["backend-specific warning"]} + self.assertEqual(result.raw["span_validation"], expected) + self.assertEqual( + result.interaction_messages[-1]["raw"]["span_validation"], + expected, + ) + finally: + del sys.modules["_test_collector_validation_target"] + + def test_run_turn_does_not_replay_collector_spans(self): + import sys + import types + + from assert_ai.core.collector import ListCollector + from assert_ai.core.model_client import Message + from assert_ai.core.otel_session import OTelTracedSession + + mod = types.ModuleType("_test_collector_multi_turn_target") + mod.target = lambda message: f"response to {message}" + sys.modules["_test_collector_multi_turn_target"] = mod + + span = OTelSpan( + trace_id="t1", span_id="s1", parent_span_id=None, + name="llm_call", kind="LLM", + start_time_ns=0, end_time_ns=5_000_000, + attributes={ + "session.id": "collected-session", + "output.value": "response", + "llm.model_name": "gpt-4o", + "llm.token_count.prompt": 5, + "llm.token_count.completion": 2, + "openinference.span.kind": "LLM", + }, + ) + + try: + session = OTelTracedSession( + callable_ref="_test_collector_multi_turn_target:target", + collector=ListCollector([span]), + ) + + async def _run(): + await session.open() + first = await session.run_turn([Message(role="user", content="first")]) + second = await session.run_turn([Message(role="user", content="second")]) + await session.close() + return first, second + + first, second = asyncio.run(_run()) + self.assertEqual(len(first.raw["trace_events"]), 1) + self.assertEqual(second.raw["trace_events"], []) + self.assertFalse(second.raw["span_validation"]["valid"]) + finally: + del sys.modules["_test_collector_multi_turn_target"] + + def test_collector_cannot_be_shared_by_open_sessions(self): + import sys + import types + + from assert_ai.core.collector import ListCollector + from assert_ai.core.otel_session import OTelTracedSession + + mod = types.ModuleType("_test_shared_collector_target") + mod.target = lambda message: f"response to {message}" + sys.modules["_test_shared_collector_target"] = mod + + collector = ListCollector([]) + first = OTelTracedSession( + callable_ref="_test_shared_collector_target:target", + collector=collector, + ) + second = OTelTracedSession( + callable_ref="_test_shared_collector_target:target", + collector=collector, + ) + + async def _run(): + await first.open() + try: + with self.assertRaisesRegex(RuntimeError, "separate collector per session"): + await second.open() + finally: + await first.close() + await second.open() + await second.close() + + try: + asyncio.run(_run()) + finally: + del sys.modules["_test_shared_collector_target"] + def test_backward_compat_exporter_still_works(self): """Passing exporter= still works as before.""" from assert_ai.core.otel_session import OTelTracedSession From 499d971e218b3518f16e542a60dd2e77d46eb1ff Mon Sep 17 00:00:00 2001 From: tangym Date: Mon, 31 Aug 2026 21:48:32 +0000 Subject: [PATCH 17/18] test(ci): cover isolated example installs Add separate LangGraph and Science dependency profiles rather than an\nall-framework environment. Exercise both clean installs in CI and verify\nthe Science Tavily tool without network access. --- .github/workflows/build.yml | 24 ++++++++---- examples/phoenix_auto_trace/README.md | 2 + .../requirements-langgraph.txt | 4 ++ examples/science_research_agent/README.md | 1 + .../science_research_agent/requirements.txt | 1 + .../tests/test_tools.py | 39 +++++++++++++++++++ 6 files changed, 63 insertions(+), 8 deletions(-) create mode 100644 examples/phoenix_auto_trace/requirements-langgraph.txt create mode 100644 examples/science_research_agent/requirements.txt create mode 100644 examples/science_research_agent/tests/test_tools.py diff --git a/.github/workflows/build.yml b/.github/workflows/build.yml index 4460d6702..169538d8f 100644 --- a/.github/workflows/build.yml +++ b/.github/workflows/build.yml @@ -10,10 +10,7 @@ on: - 'uv.lock' - 'pytest.ini' - 'README.md' - - 'examples/**/requirements.txt' - - 'examples/**/agent.py' - - 'examples/**/auto_trace.py' - - 'examples/**/tests/**' + - 'examples/**' - 'LICENSE' - '.github/workflows/build.yml' pull_request: @@ -25,10 +22,7 @@ on: - 'uv.lock' - 'pytest.ini' - 'README.md' - - 'examples/**/requirements.txt' - - 'examples/**/agent.py' - - 'examples/**/auto_trace.py' - - 'examples/**/tests/**' + - 'examples/**' - 'LICENSE' - '.github/workflows/build.yml' workflow_dispatch: @@ -120,6 +114,14 @@ jobs: assert_extras: phoenix requirements: examples/phoenix_auto_trace/requirements.txt import: examples.phoenix_auto_trace.travel_openai + - example: phoenix-auto-trace-langgraph + assert_extras: phoenix + requirements: examples/phoenix_auto_trace/requirements-langgraph.txt + import: examples.phoenix_auto_trace.travel_langgraph + - example: science-research-agent + assert_extras: '' + requirements: examples/science_research_agent/requirements.txt + import: examples.science_research_agent.tools - example: bank-manager-agent-control assert_extras: acs requirements: examples/bank_manager_agent_control/requirements.txt @@ -149,6 +151,8 @@ jobs: working-directory: source env: OPENAI_API_KEY: test-key + AZURE_API_KEY: test-key + AZURE_API_BASE: https://example.openai.azure.com/ PHOENIX_DISABLE_AUTO_INSTRUMENT: '1' run: python -c "import ${{ matrix.import }}" - name: Test Bank Manager model routing @@ -157,6 +161,10 @@ jobs: env: PYTHONPATH: examples/bank_manager_agent_control/tests run: python -m unittest discover -s examples/bank_manager_agent_control/tests -p 'test_model_config.py' -v + - name: Test Science Research Agent tools + if: matrix.example == 'science-research-agent' + working-directory: source + run: python -m unittest discover -s examples/science_research_agent/tests -p 'test_tools.py' -v test-foundry-host-install: name: "Example install: langgraph-foundry-hosted server" diff --git a/examples/phoenix_auto_trace/README.md b/examples/phoenix_auto_trace/README.md index ae1b95b43..0082f6714 100644 --- a/examples/phoenix_auto_trace/README.md +++ b/examples/phoenix_auto_trace/README.md @@ -104,6 +104,8 @@ The `evals/` folder contains exactly two independently runnable behavior configs for the auto-instrumented LangGraph target: ```bash +python -m pip install -r examples/phoenix_auto_trace/requirements-langgraph.txt + assert-ai run --config examples/phoenix_auto_trace/evals/fabricated_travel_details.yaml assert-ai run --config examples/phoenix_auto_trace/evals/budget_overrun.yaml ``` diff --git a/examples/phoenix_auto_trace/requirements-langgraph.txt b/examples/phoenix_auto_trace/requirements-langgraph.txt new file mode 100644 index 000000000..143ac142f --- /dev/null +++ b/examples/phoenix_auto_trace/requirements-langgraph.txt @@ -0,0 +1,4 @@ +langchain-core>=1.6.0 +langchain-openai>=1.6.0 +langgraph>=1.2.11 +openinference-instrumentation-langchain>=0.1.62 diff --git a/examples/science_research_agent/README.md b/examples/science_research_agent/README.md index 835019426..916d38b0a 100644 --- a/examples/science_research_agent/README.md +++ b/examples/science_research_agent/README.md @@ -69,6 +69,7 @@ From the repo root: ```bash python -m pip install -e . +python -m pip install -r examples/science_research_agent/requirements.txt cp examples/science_research_agent/.env.example examples/science_research_agent/.env # Edit the .env: AZURE_API_KEY, AZURE_API_BASE, and TAVILY_API_KEY are required. diff --git a/examples/science_research_agent/requirements.txt b/examples/science_research_agent/requirements.txt new file mode 100644 index 000000000..eb6fba1db --- /dev/null +++ b/examples/science_research_agent/requirements.txt @@ -0,0 +1 @@ +tavily-python>=0.8.0 diff --git a/examples/science_research_agent/tests/test_tools.py b/examples/science_research_agent/tests/test_tools.py new file mode 100644 index 000000000..66eb95322 --- /dev/null +++ b/examples/science_research_agent/tests/test_tools.py @@ -0,0 +1,39 @@ +"""Offline tests for the science research agent's external tools.""" + +import os +import unittest +from unittest.mock import patch + +from examples.science_research_agent.tools import Tools + + +class WebSearchTests(unittest.TestCase): + @patch("tavily.TavilyClient") + def test_web_search_uses_tavily_client(self, client_class): + client_class.return_value.search.return_value = { + "results": [{ + "title": "Public result", + "url": "https://example.test/result", + "content": "Public research summary", + }], + } + + with patch.dict( + os.environ, + {"TAVILY_API_KEY": "test-key", "ASSERT_AI_REAL_TOOLS_NOCACHE": "1"}, + ): + result = Tools().web_search("public research", max_results=3) + + client_class.assert_called_once_with(api_key="test-key") + client_class.return_value.search.assert_called_once_with( + query="public research", + max_results=3, + include_raw_content=False, + search_depth="basic", + ) + self.assertEqual(result["status"], "ok") + self.assertEqual(result["results"][0]["title"], "Public result") + + +if __name__ == "__main__": + unittest.main() From 75987cdf9356ab12ff01a8a972ba68c599502c52 Mon Sep 17 00:00:00 2001 From: tangym Date: Mon, 31 Aug 2026 21:48:57 +0000 Subject: [PATCH 18/18] docs: clarify dependency setup ownership Keep PyPI install guidance nested correctly in all three assistant entry\npoints. Distinguish ASSERT checkout commands from the standalone banking\ndemo's root dependency manifest. --- .claude/skills/run-assert-eval/SKILL.md | 16 ++++++++-------- .cursor/rules/assert.mdc | 6 +++--- .github/prompts/run-assert-eval.prompt.md | 4 ++-- examples/bank_manager_agent_control/ci/README.md | 13 +++++++++---- 4 files changed, 22 insertions(+), 17 deletions(-) diff --git a/.claude/skills/run-assert-eval/SKILL.md b/.claude/skills/run-assert-eval/SKILL.md index 3e328cb64..b05106c82 100644 --- a/.claude/skills/run-assert-eval/SKILL.md +++ b/.claude/skills/run-assert-eval/SKILL.md @@ -100,15 +100,15 @@ runs*, or *watch a live run*. 1. **ASSERT installed**: `assert-ai --help` succeeds. If not, guide install from PyPI — not an editable install of the user's own repo: ``` - python -m pip install "assert-ai[phoenix]" + python -m pip install "assert-ai[phoenix]" ``` - The target project owns its agent framework dependencies. For repository - examples, install the adjacent `requirements.txt`; for a customer project, - use that project's existing dependency manifest. `target.endpoint` needs - `aiohttp`, which ships directly with ASSERT — no - separate extra to install. Use `pip install -e ".[phoenix]"` **only** when the - working directory is a clone of the ASSERT repo itself; inside a customer - repo it installs the wrong package. + The target project owns its agent framework dependencies. For repository + examples, install the adjacent `requirements.txt`; for a customer project, + use that project's existing dependency manifest. `target.endpoint` needs + `aiohttp`, which ships directly with ASSERT — no + separate extra to install. Use `pip install -e ".[phoenix]"` **only** when the + working directory is a clone of the ASSERT repo itself; inside a customer + repo it installs the wrong package. 2. **Clarity MCP server available** (needed only for Path A): the `clarity-agent` MCP tools (`run_clarity`, `write_protocol_document`, `record_failure`, diff --git a/.cursor/rules/assert.mdc b/.cursor/rules/assert.mdc index 755a29dfe..4b10b982c 100644 --- a/.cursor/rules/assert.mdc +++ b/.cursor/rules/assert.mdc @@ -65,9 +65,9 @@ stepping with citations highlighted). Answer in chat for "what / why / which"; h ### Preconditions (check, don't assume) 1. **ASSERT installed**: verify `assert-ai --help` succeeds. If not, guide install: - `python -m pip install "assert-ai[phoenix]"`. The target project owns its agent - framework dependencies; repository examples declare them in adjacent - `requirements.txt` files. + `python -m pip install "assert-ai[phoenix]"`. The target project owns its agent + framework dependencies; repository examples declare them in adjacent + `requirements.txt` files. 2. **Clarity MCP server available** (needed only for Path A): the `clarity-agent` MCP tools (`run_clarity`, `write_protocol_document`, `record_failure`, `record_suggestion`, …) are callable. Clarity is the risk-discovery engine — the skill drives its real MCP tools, it does not reimplement diff --git a/.github/prompts/run-assert-eval.prompt.md b/.github/prompts/run-assert-eval.prompt.md index 89ac590ab..74657375f 100644 --- a/.github/prompts/run-assert-eval.prompt.md +++ b/.github/prompts/run-assert-eval.prompt.md @@ -37,9 +37,9 @@ Copilot is for *answering questions* and *synthesis* — direct answers, failure 1. **ASSERT installed**: verify `assert-ai --help` succeeds. If not, guide install from PyPI — not an editable install of the user's own repo: ``` - python -m pip install "assert-ai[phoenix]" + python -m pip install "assert-ai[phoenix]" ``` - The target project owns its agent framework and OpenInference instrumentor dependencies. For repository examples, install the adjacent `requirements.txt`; for a customer project, use that project's existing dependency manifest. `target.endpoint` needs `aiohttp`, which ships with ASSERT. Use `pip install -e ".[phoenix]"` **only** when the working directory is a clone of the ASSERT repo itself; inside a customer repo it installs the wrong package. + The target project owns its agent framework and OpenInference instrumentor dependencies. For repository examples, install the adjacent `requirements.txt`; for a customer project, use that project's existing dependency manifest. `target.endpoint` needs `aiohttp`, which ships with ASSERT. Use `pip install -e ".[phoenix]"` **only** when the working directory is a clone of the ASSERT repo itself; inside a customer repo it installs the wrong package. 2. **Clarity MCP server available** (needed only for Path A): the `clarity-agent` MCP tools (`run_clarity`, `write_protocol_document`, `record_failure`, `record_suggestion`, …) are callable in this session. Clarity is the risk-discovery engine — the skill drives its real MCP tools, it does not reimplement it. If the tools are missing, the server is not wired up yet: offer `SETUP-CHECKLIST.md` (install `clarity-agent` with the `[mcp]` extra, run `clarity embed .` to generate `.vscode/mcp.json`, reload MCP servers) and confirm the LLM provider is configured (`clarity doctor` — Clarity supports GitHub Copilot, Anthropic, OpenAI, Azure AI, and Gemini). **This is not a blocker**: if the tools can't be made available, or the user would rather not set them up now, say so plainly and continue on Path B (Step 1b). Never strand the user on MCP setup when they came to measure something. diff --git a/examples/bank_manager_agent_control/ci/README.md b/examples/bank_manager_agent_control/ci/README.md index ef2d5184b..15663ad2d 100644 --- a/examples/bank_manager_agent_control/ci/README.md +++ b/examples/bank_manager_agent_control/ci/README.md @@ -8,14 +8,19 @@ fork of ASSERT. **→ [`responsibleai/assert-ci-banking-demo`](https://github.com/responsibleai/assert-ci-banking-demo)**  *(the canonical CI shipping vehicle)* -There, the banking agent simply does: +To run the local Bank Manager example, use these commands from the root of the +ASSERT checkout: ```bash -pip install "assert-ai[acs]" -pip install -r examples/bank_manager_agent_control/requirements.txt +python -m pip install -e ".[acs]" +python -m pip install -r examples/bank_manager_agent_control/requirements.txt ``` -and adds an ASSERT safety-regression gate to CI. The gate replays a committed ASSERT run, +The standalone `assert-ci-banking-demo` repository does not contain that +`examples/` path. It owns a separate root `requirements.txt`; use its README and +dependency manifest when working in that checkout. + +The standalone repository adds an ASSERT safety-regression gate to CI. The gate replays a committed ASSERT run, compares it to the unguarded production baseline with a paired statistical test, and **passes only if the change significantly *improves* `policy_violation` without regressing `overrefusal`** — an improvement gate, not a fixed threshold. If it fails, the build is