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20 Commits
| Author | SHA1 | Message | Date | |
|---|---|---|---|---|
 Nick Brady
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54617557e6 |
Update Foundry branding (#6999)
Replace user-facing Azure AI Foundry branding with Microsoft Foundry across docs, samples, comments, and display text while preserving technical identifiers. Co-authored-by: Copilot App <223556219+Copilot@users.noreply.github.com> Co-authored-by: Evan Mattson <35585003+moonbox3@users.noreply.github.com> |
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Eduard van Valkenburg
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68136ee081 |
Python: Clean up dependency groups and compatibility (#7046)
* Python: Clean up dependency management Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> Copilot-Session: 2f7b1c89-f3ff-418d-ab4e-4f014fda308f * Python: Harden Mistral SDK import fallback Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> Copilot-Session: 2f7b1c89-f3ff-418d-ab4e-4f014fda308f |
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Eduard van Valkenburg
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9a5312b278 |
Python: Add message injection middleware (#6998)
* Python: Add message injection middleware Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Python: Ignore informational tool calls for message injection Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Python: Preserve per-service history with message injection Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --------- Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> |
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Adam Lin
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f280742c01 |
Python: Samples: deterministic action-boundary validation middleware (#5366) (#6528)
* Python: add ATR validation FunctionMiddleware sample (execution-boundary validation, #5366) Adds python/samples/02-agents/middleware/atr_validation_middleware.py: a FunctionMiddleware that validates tool arguments at the execution boundary and raises MiddlewareTermination before call_next() when they match an attack pattern, so the tool never runs. This is the deterministic, single-enforcement- point pattern named in #5366 and answers its open follow-up about a recommended validation-at-execution-boundary sample. The check is a small self-contained deny-list mirroring Agent Threat Rules (ATR) intent (prompt injection, exfiltration, credential access in tool args); a docstring notes how to swap in the full open ruleset via pyatr. No external dependency, so the sample stays import-clean. Updates the middleware README Files table. Signed-off-by: Adam Lin <adam@agentthreatrule.org> * Python: Samples: run the real ATR engine in atr_validation_middleware Address review on #6528: - Load and run the real ATR ruleset via pyatr (ATREngine + AgentEvent tool_call event) instead of re-implementing a regex deny-list; the built-in deny-list is now only a fallback when pyatr is not installed. - Add re.DOTALL (and a whole-text scan) to the fallback patterns so multiline injection payloads are not missed. - Move load_dotenv() into main() so importing the module has no side effects. - Route the middleware block/allow messages through a module logger instead of print(). - Include the matched ATR rule id in the log and in the MiddlewareTermination message for auditability. - Update the middleware README entry to match. * fix(samples): make ATR validation middleware pass ty/pyrefly typing CI Resolve the three type-checker errors flagged on the samples typing jobs (ty + pyrefly, reportMissingImports/reportAttributeAccessIssue via pyright): - pyatr is an optional, unstubbed runtime dependency that is not installed in the typing CI env; mark its imports with `# type: ignore` so the unresolved-import error is suppressed while keeping the graceful ImportError -> deny-list fallback intact. - Replace the function-attribute engine cache (`_detect_with_atr._engine`), which ty/pyrefly reject, with a clean `functools.lru_cache`-backed `_load_atr_engine()` loader. - Type the argument-scanning helpers to accept the real `FunctionInvocationContext.arguments` type (`BaseModel | Mapping[str, Any]`) and normalise a pydantic model via `model_dump()` before scanning, fixing the invalid-argument-type error. ty / pyrefly / pyright (samples config) / ruff check + format all clean on the file; runtime block/allow behaviour verified for both dict and BaseModel arguments. * Python: Samples: simplify ATR middleware to plain pyatr import Address review feedback (@eavanvalkenburg): now that the sample runs the real pyatr engine, drop the optional-import scaffolding. - Add a dependency header declaring pyatr (pip install pyatr). - Switch to a plain top-level `import pyatr` and remove the try/except ImportError fallback path. - Remove the regex deny-list (_FALLBACK_PATTERNS, _detect_with_fallback); keep 2-3 representative pattern shapes inline as a reference comment so readers still see the kind of rules ATR encodes. Detection is now a single straight-line engine call. - Keep the prior typing fixes: `# type: ignore` on the pyatr import (unstubbed, absent in the typing CI env), the functools.lru_cache engine loader, and the BaseModel | Mapping[str, Any] signatures. * fix: use PEP 723 inline script metadata for sample dependencies --------- Signed-off-by: Adam Lin <adam@agentthreatrule.org> Co-authored-by: eeee2345 <eeee2345@users.noreply.github.com> Co-authored-by: Eduard van Valkenburg <eavanvalkenburg@users.noreply.github.com> |
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westey
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cba9a1c050 |
Python: Add security information to harness features inline docs (#6936)
* Add security information to harness features inline docs * Address PR comments --------- Co-authored-by: Evan Mattson <35585003+moonbox3@users.noreply.github.com> |
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westey
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d108d4b549 |
Python: [BREAKING] Integrate looping into HarnessAgent (#6607)
* Integrate looping into harness * Address PR comments * Address PR comments. * Fix typing error |
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Eduard van Valkenburg
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6e95517659 |
Python: Split type checkers by target (pyright source, 5 checkers on tests/samples) (#6443)
* Python: Split type checkers by target (pyright source, 5 checkers on tests/samples) Rework the typing setup along the lines of the 'too many type checkers' approach: - Pyright (strict) is now the sole source-code type checker; mypy is removed from source and its [tool.mypy] block becomes a relaxed profile used only for tests/samples. - Tests are checked by all five checkers (pyright relaxed, mypy, pyrefly, ty, zuban); samples by pyright, pyrefly, and ty. All run in a relaxed/ basic profile so authors aren't forced into over-annotation. - Add pyrightconfig.tests.json and bump sample pyright configs to basic. - Unify test/sample typing onto the same parallel fan-out used by source pyright via run_command_items in task_runner.py. - Make version-conditional imports symmetric: keep or drop the '# type: ignore' on both branches so results match across interpreter versions (local vs CI). - Update SKILL.md, DEV_SETUP.md, and CODING_STANDARD.md for the five gating checkers and pyright on source+tests+samples. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Python: Fix merge regressions from main (typing + runtime) Merging main into the type-checker split branch surfaced regressions that the new five-checker test suite and unit tests caught: Runtime fixes: - anthropic: restore the dropped `cache_read_input_token_count` mapping in _parse_usage_from_anthropic (lost during merge conflict resolution). - gemini: _get_function_calling_mode test helper returned str(enum) ('FunctionCallingConfigMode.AUTO') instead of the enum value ('AUTO'). - openai: _response_id_from_token test helper was an infinite self-recursion; return token['response_id']. - orchestrations: reset output_events per approval iteration so the terminal output assertion counts only the final run. - core: drop a stale duplicate harness test whose message ('non-negative') contradicted the source ('positive'). - purview: import PolicyLocation/PolicyScope/ProtectionScopeActivities/ ExecutionMode used by the processor tests. Type-checker fixes (tests, relaxed profile): - core: pyright/mypy/pyrefly/ty/zuban green-ups across the harness, MCP, observability and types tests. - anthropic/openai: route provider-namespaced UsageDetails keys through a dict cast (extra_items TypedDict unsupported by mypy/ty). - purview: typed model constructors and cache-mock casts. - ag-ui: annotate WorkflowContext[Any, Any] so yield_output accepts test payloads, guard Optional forwarded_props, and ty-ignore intentional bad args. Source pyright (sole source checker) flagged unnecessary ignores newly introduced by merged code in core _tools.py and declarative _declarative_base.py. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Python: Isolate per-package mypy cache in test-typing fan-out The parallel test-typing fan-out runs many mypy processes concurrently, all defaulting to a single shared ./.mypy_cache. Concurrent writes corrupt the cache and mypy aborts with INTERNAL ERROR (intermittently, depending on worker timing) -- which is why CI's Test Typing job failed on a shifting set of packages while a single-package run was fine. Give each mypy invocation an isolated cache dir keyed by its target paths so incremental caching still works per package without races. Other checkers (zuban/pyrefly/ty/pyright) maintain their own caches and are unaffected. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Python: Make lab pyright-only on source (drop source mypy) Lab was the last package still running mypy on its source code, requiring mypy-only `# type: ignore` comments that pyright (the sole source checker everywhere else) flags as unnecessary. Align lab with the rest of the monorepo: - Remove the lab source mypy poe tasks (mypy-gaia/lightning/tau2) and the now-dead strict [tool.mypy] config block. - Drop the 'Run lab mypy' CI step; lab source is type-checked by pyright only. Lab tests remain covered by the workspace test-typing fan-out (mypy, pyrefly, ty, zuban, pyright over tests using the relaxed root config). Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Python: Fix test-typing regressions from latest main merge A fresh merge from main brought in new test code never run under the five-checker test-typing suite. Green up across the affected packages: - core: narrow Optional span.attributes with 'and' guards in span filters and assert+cast the json.loads(...attributes[...]) reads (test_observability); match the existing as_agent ignore on the protocol-typed fixture (test_clients). - openai: align new streaming tests with the established chat_options dict pattern (ChatOptions TypedDict isn't assignable to dict), route Optional .annotations[0] access through a small _first_annotation helper (mirrors the file's assert-not-None convention), and annotate a mapped ResponseStream. - foundry_hosting: annotate error: dict[str, Any] = body.get(...) or {} (zuban needs the annotation). - foundry: narrow ignores for the live AIProjectClient credential arg (pyrefly) and connections.get_default (zuban) SDK type gaps. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * updated pyright version * pyright fix * Python: Fix source typing for pyright 1.1.410 Pyright 1.1.410 tightened several checks. Apply the same source fixes as upstream PR #6275: - anthropic: import AsyncAnthropicBedrock from anthropic.lib.bedrock and AsyncAnthropicVertex from anthropic.lib.vertex (no longer re-exported from the anthropic top-level package -> reportPrivateImportUsage). - core _types.py: cast the transform-hook result to UpdateT (reportAssignmentType). - core _workflows/_events.py: annotate the @contextmanager helper as Generator[None] instead of Iterator[None] (reportDeprecated). - redis: build the combined filter expression with an explicit loop instead of reduce(and_, ...), which pyright could no longer fully type (drops the now unused functools.reduce / operator.and_ imports). Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Python: Accept plain-text body in Azure Functions workflow/run endpoint The workflow_orchestrator already accepts plain strings as well as JSON objects via context.get_input(), but the start_workflow_orchestration HTTP handler only accepted JSON and returned 400 for any non-JSON body. This made the functions integration tests that POST text/plain to /api/workflow/run (e.g. test_09_workflow_shared_state) fail consistently with 400 != 202. Fall back to the raw request body (decoded as UTF-8) when the body is not JSON, rejecting only a truly empty body. The JSON path is unchanged. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --------- Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> |
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Eduard van Valkenburg
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1acd242550 |
Python: Add AgentLoopMiddleware for re-running agents in a loop (#6174)
* Python: Add AgentLoopMiddleware for re-running agents in a loop Add `AgentLoopMiddleware`, an `AgentMiddleware` that re-runs the wrapped agent in a loop. A single configurable class covers three common patterns, each with a convenience classmethod factory: - Ralph loop (`.ralph(...)`): no exit criteria, with feedback tracking (`record_feedback`/`progress`), progress injection (`inject_progress`), optional fresh context per iteration (`fresh_context`), and an early-stop completion signal (`is_complete`). - Predicate (`.with_predicate(...)`): loop while a `should_continue` callable returns True (e.g. paired with `todos_remaining`/`background_tasks_running`). - Judge (`.with_judge(...)`): a second chat client decides whether the original request was answered, using a `JudgeVerdict` structured-output response. The loop also auto-resolves pending function-approval / user-input requests via an `on_approval_request` callable (bounded by `max_approval_rounds`), and the next iteration's input is controlled by `next_message`. Supports both streaming and non-streaming runs. Exports `AgentLoopMiddleware`, `JudgeVerdict`, `todos_remaining`, and `background_tasks_running`. Adds tests, a sample, and docs. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Python: Refine AgentLoopMiddleware API and sample - with_judge: add criteria list with {{criteria}} templating into judge instructions plus an agent-side instruction; add fresh_context, additional judge feedback relay; default judge max_iterations. - should_continue is now required and positional; supports (bool, str|None) feedback tuples surfaced to next_message/record_feedback via feedback kwarg. - Judge forwards full multi-modal request and response messages. - Default max_iterations=10 (explicit None = unbounded); removed is_complete and Ralph terminology; ShouldContinueResult is a real TypeAlias. - Sample: stream all loops, print iteration counts via injected user-block boundaries (robust to function calling), <role>: content formatting, per-method expected output, and a looping todo sample. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Python: Fix CI checks for AgentLoopMiddleware - Resolve pyright errors in _loop.py: drop the always-true final_result None check (the while loop always assigns it) and cast finish_reason to the AgentResponse constructor's expected type. - Apply pyupgrade --py310-plus: import TypeAlias from typing. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Python: Resolve mypy/pyright disagreement on finish_reason pyright infers AgentResponse.finish_reason as including str and rejects the direct assignment, while mypy considers a cast redundant. Drop the cast and suppress only pyright with a targeted reportArgumentType ignore, satisfying both type checkers. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Python: Add todo+judge AgentLoopMiddleware sample Add a second AgentLoopMiddleware sample that composes two criteria in one should_continue predicate: a TodoProvider check (evaluated first) and a report-style judge chat client (evaluated once todos are complete) that grades the assembled report against shared requirements. Register it in the middleware samples README. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Python: Compose todo+judge loops as two middleware Rework the todo+judge sample to compose two AgentLoopMiddleware on the agent itself (middleware=[judge_loop, todo_loop]) instead of a single hand-written predicate. The inner todos_remaining loop drafts the report todo-by-todo and the outer with_judge loop re-runs it until an editor chat client judges the report publication-ready, reusing the built-in helpers. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Reset session for fresh_context loops via snapshot/restore AgentLoopMiddleware.fresh_context previously only reset context.messages, so with an attached session each iteration still reloaded the local transcript or re-threaded the service-side conversation id and the model saw the accumulated history. Snapshot the session once before the loop (via to_dict) and restore it (from_dict + field copy) between iterations, so every pass starts from the pre-loop baseline. The final iteration's pass is persisted (no restore after the terminating iteration), so a subsequent agent.run continues from there. Removed the obsolete warning, updated docstrings and core AGENTS.md, and added tests: a snapshot/restore round-trip, a session-reset streaming x fresh_context x inject_progress x store matrix across multiple runs and loop iterations, and response_format parsing across the loop. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Updated samples and docstrings --------- Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> |
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Eduard van Valkenburg
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3446eb8d5d |
Python: [BREAKING] update to v1.0.0 (#5062)
* updates to final deprecated pieces and versions * fix mypy * fix readme links |
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Eduard van Valkenburg
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95fd5ec658 |
Python: [BREAKING] Python: move Azure AI embeddings to Foundry (#5056)
* renamed AzureAIINferenceEmbeddings and lazy load azure-cosmos and env var rename * updated coverage * fix readme |
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Eduard van Valkenburg
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cee0a458fe |
Python: fixed middleware samples (#5026)
* fixed samples * small update to explanation * add snippet fix on root readme |
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Eduard van Valkenburg
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3a49b1d6dd |
Python: [BREAKING] Remove deprecated Python OpenAI/Azure AI surfaces (#4990)
* [BREAKING] Remove deprecated Python OpenAI/Azure AI surfaces Also clean up follow-on docs, environment guidance, package metadata, and lab test stability. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Fix deleted semantic-kernel sample links Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Address PR review feedback Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * improve foundry language * Fix A2A Foundry sample regression Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --------- Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> |
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Eduard van Valkenburg
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cc0cfaaac8 |
[BREAKING] Python: fix OpenAI Azure routing and provider samples (#4925)
* Python: fix OpenAI Azure routing and provider samples Prefer OpenAI when OPENAI_API_KEY is present unless Azure is explicitly requested. Clarify constructor docs, keep deprecated Azure wrappers compatible with stricter settings validation, and refresh the provider samples and tests to use the current client patterns. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * fix bandit * Python: align OpenAI embedding Azure routing Extend the shared OpenAI-vs-Azure routing and credential behavior to the embedding client, add Azure embedding regression coverage, and refresh the embedding samples to use the generic client path. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Python: fix embedding client pyright check Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Python: thin OpenAI embedding wrapper Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Python: document embedding overload routing Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Python: fix callable OpenAI key routing Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Python: fix Azure credential routing tests Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Python: address OpenAI review feedback Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Python: narrow Azure routing markers Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Python: refine OpenAI model fallback order Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Python: narrow Azure deployment docs Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Python: remove embedding routing wording Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Python: run embedding Azure integration tests Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * changed variable name * Python: expand OpenAI package README Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * clarified readme * Python: fix Azure OpenAI integration setup Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Python: correct Azure integration env mapping Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * updated code to fix int tests * test updates * test fix * fix test setup * updates to tests and setup * remove openai assistants int tests * improvements in int tests * fix env var * fix env vars * fix azure responses test * trigger actions --------- Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> |
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Eduard van Valkenburg
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5e056b672e |
Python: [BREAKING] Python: Provider-leading client design & OpenAI package extraction (#4818)
* Python: Provider-leading client design & OpenAI package extraction Major refactoring of the Python Agent Framework client architecture: - Extract OpenAI clients into new `agent-framework-openai` package - Core package no longer depends on openai, azure-identity, azure-ai-projects - Rename clients for discoverability: OpenAIResponsesClient → OpenAIChatClient, OpenAIChatClient → OpenAIChatCompletionClient - Unify `model_id`/`deployment_name`/`model_deployment_name` → `model` param - New FoundryChatClient for Azure AI Foundry Responses API - New FoundryAgent/FoundryAgentClient for connecting to pre-configured Foundry agents - Remove OpenAIBase/OpenAIConfigMixin from non-deprecated client MRO - Deprecate AzureOpenAI* clients, AzureAIClient, OpenAIAssistantsClient - Reorganize samples: azure_openai+azure_ai+azure_ai_agent → azure/ - ADR-0020: Provider-Leading Client Design Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * fix: missing Agent imports in samples, .model_id → .model in foundry_local sample Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * fix: CI failures — mypy errors, coverage targets, sample imports - azure-ai mypy: add type ignores for TypedDict total=, model arg, forward ref - Coverage: replace core.azure/openai targets with openai package target - project_provider: add type annotation for opts dict Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * fix: populate openai .pyi stub, fix broken README links, coverage targets Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * fixes * updated observabilitty * reset azure init.pyi * fix errors * updated adr number * fix foundry local * fixed not renamed docstrings and comments, and added deprecated markers to old classes * fix tests and pyprojects * fix test vars * updated function tests * update durable * updated test setup for functions * Fix Foundry auth in workflow samples Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Stabilize Python integration workflows Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Update hosting samples for Foundry Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Trigger full CI rerun Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Trigger CI rerun again Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * trigger rerun * trigger rerun * fix for litellm * undo durabletask changes * Move Foundry APIs into foundry namespace Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Fix Foundry pyproject formatting Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Split provider samples by Foundry surface Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Restore hosting sample requirements Also fix the Foundry Local sample link after the provider sample move. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * updated tests * udpated foundry integration tests * removed dist from azurefunctions tests * Use separate Foundry clients for concurrent agents Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * fix client setup in azfunc and durable * disabled two tests * updated setup for some function and durable tests * improved azure openai setup with new clients * ignore deprecated * fixes * skip 11 * remove openai assistants int tests --------- Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> |
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Eduard van Valkenburg
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0cd40f8354 |
Python: [BREAKING] Refactor middleware layering and split Anthropic raw client (#4746)
* [BREAKING] Refactor middleware layering and raw clients Reorder chat client layers so function invocation wraps chat middleware, and chat middleware stays outside telemetry while still running for each inner model call. Add middleware pipeline caching, refresh docs and samples, and split Anthropic into raw and public clients to match the standard layering model. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Tighten typing ignores in ancillary modules Add targeted typing ignores in workflow visualization and lab modules so pyright stays clean alongside the middleware refactor work. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Fix categorize_middleware to unpack tuple/Sequence and use relative MRO assertions - Broaden isinstance check in categorize_middleware from list to Sequence so tuples and other Sequence types are properly unpacked instead of being appended as a single item. - Replace fragile hardcoded MRO index assertions in anthropic test with relative ordering via mro.index(). - Add regression tests for categorize_middleware with tuple, list, and None inputs. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Fix middleware string decomposition, add middleware param to FunctionInvocationLayer, and add tests (#4710) - Guard categorize_middleware Sequence check against str/bytes to prevent character-by-character decomposition of accidentally passed strings - Add explicit middleware parameter to FunctionInvocationLayer.get_response and merge it into client_kwargs before categorization, fixing the inconsistency where only OpenAIChatClient supported this parameter - Add assertions that RawAnthropicClient does not inherit convenience layers - Add chat middleware cache test with non-empty base middleware - Add tests for single unwrapped middleware item and string input Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Apply pre-commit auto-fixes * Apply pre-commit auto-fixes * Address review feedback for #4710: review comment fixes --------- Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> Co-authored-by: Copilot <copilot@github.com> |
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Copilot
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b05fc9e849 |
Python: Add load_dotenv() to samples for .env file support (#4043)
* Initial plan * Add load_dotenv() to 303 Python samples for environment variable loading Co-authored-by: TaoChenOSU <12570346+TaoChenOSU@users.noreply.github.com> * Update SAMPLE_GUIDELINES.md to document load_dotenv() requirement Co-authored-by: TaoChenOSU <12570346+TaoChenOSU@users.noreply.github.com> * Update samples README.md to document .env file usage Co-authored-by: TaoChenOSU <12570346+TaoChenOSU@users.noreply.github.com> * Run ruff format on all changed sample files Co-authored-by: TaoChenOSU <12570346+TaoChenOSU@users.noreply.github.com> * Clarify load_dotenv() usage in README - local dev vs production Co-authored-by: TaoChenOSU <12570346+TaoChenOSU@users.noreply.github.com> * Remove deprecated getting_started folder as requested Co-authored-by: TaoChenOSU <12570346+TaoChenOSU@users.noreply.github.com> * Document env_file_path parameter for per-client configuration Co-authored-by: TaoChenOSU <12570346+TaoChenOSU@users.noreply.github.com> * Merge main branch to resolve conflicts Co-authored-by: TaoChenOSU <12570346+TaoChenOSU@users.noreply.github.com> * Fix run_evaluation.py file that was empty in merge commit Co-authored-by: TaoChenOSU <12570346+TaoChenOSU@users.noreply.github.com> * Remove dotnet changes from merge - out of scope for this PR Co-authored-by: TaoChenOSU <12570346+TaoChenOSU@users.noreply.github.com> * Remove package and test changes from merge - only sample changes needed Co-authored-by: TaoChenOSU <12570346+TaoChenOSU@users.noreply.github.com> * Remove test_func_utils.py - only sample changes needed Co-authored-by: TaoChenOSU <12570346+TaoChenOSU@users.noreply.github.com> * Revert sample files not in original changeset - keep only load_dotenv additions Co-authored-by: TaoChenOSU <12570346+TaoChenOSU@users.noreply.github.com> * Move load_dotenv() outside snippet tag in 06_host_your_agent.py Co-authored-by: TaoChenOSU <12570346+TaoChenOSU@users.noreply.github.com> * Fix comment placement - move load_dotenv before code comments Co-authored-by: TaoChenOSU <12570346+TaoChenOSU@users.noreply.github.com> * Fix load_dotenv() placement across all samples - after docstring, before code comments Co-authored-by: TaoChenOSU <12570346+TaoChenOSU@users.noreply.github.com> * Merge latest main branch with load_dotenv changes Co-authored-by: TaoChenOSU <12570346+TaoChenOSU@users.noreply.github.com> * Remove non-sample changes from merge - keep only load_dotenv additions Co-authored-by: TaoChenOSU <12570346+TaoChenOSU@users.noreply.github.com> * Revert non-load_dotenv sample changes from merge Co-authored-by: TaoChenOSU <12570346+TaoChenOSU@users.noreply.github.com> * Fix run_evaluation.py - use main's improved version (file already had load_dotenv) Co-authored-by: TaoChenOSU <12570346+TaoChenOSU@users.noreply.github.com> * Manual update * Manual update 2 * Fix Role usage and load_dotenv placement per PR review feedback Co-authored-by: eavanvalkenburg <13749212+eavanvalkenburg@users.noreply.github.com> * Fix Role usage - use string literals not enum attributes Co-authored-by: eavanvalkenburg <13749212+eavanvalkenburg@users.noreply.github.com> * Fix SAMPLE_GUIDELINES.md example - load_dotenv before docstring per guidance Co-authored-by: eavanvalkenburg <13749212+eavanvalkenburg@users.noreply.github.com> * Move load_dotenv() before docstrings in all samples per SAMPLE_GUIDELINES ordering Co-authored-by: eavanvalkenburg <13749212+eavanvalkenburg@users.noreply.github.com> * Address PR review: rename files, fix placement, add session usage, remove note Co-authored-by: eavanvalkenburg <13749212+eavanvalkenburg@users.noreply.github.com> * Update Redis README to reference renamed file redis_history_provider.py Co-authored-by: eavanvalkenburg <13749212+eavanvalkenburg@users.noreply.github.com> --------- Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com> Co-authored-by: TaoChenOSU <12570346+TaoChenOSU@users.noreply.github.com> Co-authored-by: Tao Chen <taochen@microsoft.com> Co-authored-by: eavanvalkenburg <13749212+eavanvalkenburg@users.noreply.github.com> Co-authored-by: Eduard van Valkenburg <eavanvalkenburg@users.noreply.github.com> |
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Dmytro Struk
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2dd731f90f |
Python: Fixed middleware and multimodal input samples (#4022)
* Fix streaming branch in weather override middleware sample The streaming branch of weather_override_middleware only prefixed the original weather data via a transform hook instead of replacing the content with the 'perfect weather' override like the non-streaming branch does. Replace with a new ResponseStream that yields the override content as ChatResponseUpdate chunks. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Fixed exception handling middleware sample * Fixed runtime context delegation middleware example * Fixed multimodal input examples * Small update --------- Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> |
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Eduard van Valkenburg
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cc98d5b6f7 |
Python: [BREAKING] Scope provider state by source_id and standardize source IDs (#3995)
* Initial plan * Add FoundryMemoryProvider and tests Co-authored-by: eavanvalkenburg <13749212+eavanvalkenburg@users.noreply.github.com> * Add sample and documentation for FoundryMemoryProvider Co-authored-by: eavanvalkenburg <13749212+eavanvalkenburg@users.noreply.github.com> * Address code review feedback for FoundryMemoryProvider Co-authored-by: eavanvalkenburg <13749212+eavanvalkenburg@users.noreply.github.com> * Address PR review comments: Add DEFAULT_SOURCE_ID, use logging.getLogger, move state to session.state Co-authored-by: eavanvalkenburg <13749212+eavanvalkenburg@users.noreply.github.com> * Fix Foundry memory ItemParam usage and exports Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Refactor provider hook state and standardize source IDs Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Support endpoint-based Foundry memory init Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Fix core README workflows link Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * updated implementation and sample * Split out Foundry memory provider changes Remove FoundryMemoryProvider implementation/tests/sample plus export and docs mentions from this branch so only non-Foundry changes remain. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Trigger CI rerun for PR #3995 Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --------- Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com> Co-authored-by: eavanvalkenburg <13749212+eavanvalkenburg@users.noreply.github.com> Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> |
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Eduard van Valkenburg
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1e350ea22f |
Python: [BREAKING] PR2 — Wire context provider pipeline, remove old types, update all consumers (#3850)
* PR2: Wire context provider pipeline and update all internal consumers - Replace AgentThread with AgentSession across all packages - Replace ContextProvider with BaseContextProvider across all packages - Replace context_provider param with context_providers (Sequence) - Replace thread= with session= in run() signatures - Replace get_new_thread() with create_session() - Add get_session(service_session_id) to agent interface - DurableAgentThread -> DurableAgentSession - Remove _notify_thread_of_new_messages from WorkflowAgent - Wire before_run/after_run context provider pipeline in RawAgent - Auto-inject InMemoryHistoryProvider when no providers configured * fix: update all tests for context provider pipeline, fix lazy-loaders, remove old test files * refactor: update all sample files for context provider pipeline (AgentThread→AgentSession, ContextProvider→BaseContextProvider) * fix: update remaining ag-ui references (client docstring, getting_started sample) * fix: make get_session service_session_id keyword-only to avoid confusion with session_id * refactor: rename _RunContext.thread_messages to session_messages * refactor: remove _threads.py, _memory.py, and old provider files; migrate devui to use plain message lists * rename: remove _new_ prefix from test files * refactor: rewrite SlidingWindowChatMessageStore as SlidingWindowHistoryProvider(InMemoryHistoryProvider) * fix: read full history from session state directly instead of reaching into provider internals * fix: update stale .pyi stubs, sample imports, and README references for new provider types * fix: remove stale message_store, _notify_thread_of_new_messages, and session_id.key references in samples * refactor: merge context_providers and sessions sample folders into sessions, remove aggregate_context_provider * refactor: UserInfoMemory stores state in session.state instead of instance attributes * feat: add Pydantic BaseModel support to session state serialization Pydantic models stored in session.state are now automatically serialized via model_dump() and restored via model_validate() during to_dict()/from_dict() round-trips. Models are auto-registered on first serialization; use register_state_type() for cold-start deserialization. Also export register_state_type as a public API. * fix mem0 * Update sample README links and descriptions for session terminology - Replace 'thread' with 'session' in sample descriptions across all READMEs - Update file links for renamed samples (mem0_sessions, redis_sessions, etc.) - Fix Threads section → Sessions section in main samples/README.md - Update tools, middleware, workflows, durabletask, azure_functions READMEs - Update architecture diagrams in concepts/tools/README.md - Update migration guides (autogen, semantic-kernel) * Fix broken Redis README link to renamed sample * Fix Mem0 OSS client search: pass scoping params as direct kwargs AsyncMemory (OSS) expects user_id/agent_id/run_id as direct kwargs, while AsyncMemoryClient (Platform) expects them in a filters dict. Adds tests for both client types. Port of fix from #3844 to new Mem0ContextProvider. * Fix rebase issues: restore missing _conversation_state.py and checkpoint decode logic - Add back _conversation_state.py (encode/decode_chat_messages) lost in rebase - Fix on_checkpoint_restore to decode cache/conversation with decode_chat_messages - Fix on_checkpoint_restore to use decode_checkpoint_value for pending requests - Add tests/workflow/__init__.py for relative import support - Fix test_agent_executor checkpoint selection (checkpoints[1] not superstep) * Add STORES_BY_DEFAULT ClassVar to skip redundant InMemoryHistoryProvider injection Chat clients that store history server-side by default (OpenAI Responses API, Azure AI Agent) now declare STORES_BY_DEFAULT = True. The agent checks this during auto-injection and skips InMemoryHistoryProvider unless the user explicitly sets store=False. * Fix broken markdown links in azure_ai and redis READMEs * Fix getting-started samples to use session API instead of removed thread/ContextProvider API * updates to workflow as agent * fix group chat import * Rename Thread→Session throughout, fix service_session_id propagation, remove stale AGUIThread - Fix: Propagate conversation_id from ChatResponse back to session.service_session_id in both streaming and non-streaming paths in _agents.py - Rename AgentThreadException → AgentSessionException - Remove stale AGUIThread from ag_ui lazy-loader - Rename use_service_thread → use_service_session in ag-ui package - Rename test functions from *_thread_* to *_session_* - Rename sample files from *_thread* to *_session* - Update docstrings and comments: thread → session - Update _mcp.py kwargs filter: add 'session' alongside 'thread' - Fix ContinuationToken docstring example: thread=thread → session=session - Fix _clients.py docstring: 'Agent threads' → 'Agent sessions' * Fix broken markdown links after thread→session file renames * fix azure ai test |
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Eduard van Valkenburg
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a2856d3b92 |
Python: restructure: Python samples into progressive 01-05 layout (#3862)
* restructure: Python samples into progressive 01-05 layout - 01-get-started/: 6 numbered steps (hello agent → hosting) - 02-agents/: all agent concept samples (tools, middleware, providers, etc.) - 03-workflows/: ALL existing workflow samples preserved as-is - 04-hosting/: azure-functions, durabletask, a2a - 05-end-to-end/: demos, evaluation, hosted agents - Old files moved to _to_delete/ for review - Added AGENTS.md with structure documentation - autogen-migration/ and semantic-kernel-migration/ preserved at root * fix: switch to AzureOpenAI Foundry, fix CI failures - Switch all 01-get-started samples to AzureOpenAIResponsesClient with Azure AI Foundry project endpoint (AZURE_AI_PROJECT_ENDPOINT + AZURE_OPENAI_RESPONSES_DEPLOYMENT_NAME + AzureCliCredential) - Add _to_delete/ and 05-end-to-end/ to pyrightconfig.samples.json excludes - Fix test paths in packages/ that referenced old getting_started/ dirs: durabletask conftest + streaming test, azurefunctions conftest, devui conftest + capture_messages + openai_sdk_integration - Fix workflow_as_agent_human_in_the_loop.py import (sibling import) - Update hosting READMEs and tool comment paths - Replace root README.md with new structure overview - Update AGENTS.md to document Azure OpenAI Foundry as default provider * cleanup: remove _to_delete folder, copy resource files to active dirs All files in _to_delete/ were either: - Exact duplicates of files in the new structure (240 files) - Same file with only comment path updates (100 files) - One import-fix diff (workflow_as_agent_human_in_the_loop.py) - One superseded minimal_sample.py Resource files (sample.pdf, countries.json, employees.pdf, weather.json) copied to 02-agents/sample_assets/ and 02-agents/resources/ since active samples reference them. * fix: address PR review comments, centralize resources, remove root duplicates - Fix type annotation in 04_memory.py (string union -> proper types) - Fix old sample paths in observability files - Fix grammar/spelling in observability samples - Move sample_assets/ and resources/ to shared/ folder - Remove 8 duplicate observability files from 02-agents root - Update resource path references in multimodal_input and provider samples * fix: update broken links from old getting_started paths to new structure - Update relative paths in READMEs: getting_started/ → 01-get-started/, 02-agents/, 03-workflows/, 04-hosting/, 05-end-to-end/ - Fix absolute GitHub URLs in package READMEs - Fix broken link in ollama package README * fix: convert absolute GitHub URLs to relative paths for link checker Absolute URLs to python/samples/ on main branch 404 until PR merges. Converted to relative paths that linkspector can verify locally. * fix: update link for handoff sample moved to orchestrations/ * fix: update chatkit-integration README path from demos/ to 05-end-to-end/ * fix: update broken links in orchestrations README to match flat directory structure |