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Python: bump package versions for 1.8.0 release (#6351)
- Released cohort (core, openai, foundry, root): 1.7.0 -> 1.8.0 - agent-framework-github-copilot: promote to RC (1.0.0rc1) - agent-framework-orchestrations: rc2 -> rc3 (bug fix) - Beta/alpha packages with changes: a2a, anthropic, azurefunctions, bedrock, foundry-hosting, mistral bumped to new date stamp (260604) - Inter-package dependency bounds updated for changed packages - CHANGELOG.md and PACKAGE_STATUS.md updated Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
Giles Odigwe ·
2026-06-04 23:03:24 +00:00 -
Python: Promote agent-framework-declarative package to RC (#6256)
* Promote agent-framework-declarative package to RC * Update missed package status file.
Peter Ibekwe ·
2026-06-02 19:30:05 +00:00 -
Python: Add Mistral AI embedding client package (#5480)
* Python: Add Mistral AI embedding client package Signed-off-by: Daria Korenieva <daric2612@gmail.com> * Address review feedback: fix dimensions check, sort embeddings by index, align docs Signed-off-by: Daria Korenieva <daric2612@gmail.com> * Address review feedback: downgrade to alpha, remove integration tests - Change version to 1.0.0a260505 (alpha) - Update classifier to Development Status :: 3 - Alpha - Update PACKAGE_STATUS.md to alpha - Remove Mistral from integration test workflows (no API keys yet) Signed-off-by: Daria Korenieva <daric2612@gmail.com> * Add samples directory for alpha package compliance Per python-package-management skill: alpha packages must include samples inside the package directory. Signed-off-by: Daria Korenieva <daric2612@gmail.com> * Fix ruff formatting in sample file Signed-off-by: Daria Korenieva <daric2612@gmail.com> --------- Signed-off-by: Daria Korenieva <daric2612@gmail.com>
Daria Korenieva ·
2026-05-29 07:20:56 +00:00 -
Python: feat: add agent-framework-monty (Monty-backed CodeAct provider) (#5915)
* Python: feat: add agent-framework-monty (Monty-backed CodeAct) New alpha package that wraps pydantic-monty (a Rust-based Python interpreter) behind the same CodeAct API surface as agent-framework-hyperlight, so users can swap providers with minimal code change. Public API (agent_framework_monty): - MontyCodeActProvider — ContextProvider that injects a run-scoped execute_code tool plus dynamic CodeAct instructions. - MontyExecuteCodeTool — standalone FunctionTool for mixed-tool agents or manual static wiring. - FileMount / FileMountInput / MountMode — public types mirroring the Hyperlight names, with Monty's mode (read-only/read-write/overlay) and write_bytes_limit on FileMount. Constructor kwargs (both classes) mirror Hyperlight where possible: tools, approval_mode, workspace_root, file_mounts; plus a Monty-only resource_limits forwarding ResourceLimits to Monty.start(). Filesystem flow: - workspace_root auto-mounts at /input (read-write), matching Hyperlight. - file_mounts accepts string shorthand, (host, mount) tuple, or FileMount with mode + write cap. - Files written under read-write mounts are scanned post-execution and returned as Content.from_data items (mirrors Hyperlight /output). - overlay mounts buffer writes in-memory; read-only mounts reject writes. Internals: - _monty_bridge.InlineCodeBridge ports the inline (non-durable) bridge from anthonychu/maf-codeact-monty-python; handles FunctionSnapshot / FutureSnapshot pause/resume, dispatches direct typed calls + the call_tool fallback, forwards mount/limits to Monty.start(...). - generate_type_stubs emits per-tool stubs so Monty's `ty` type-checker rejects bad calls before any host tool runs. Alpha-policy compliance (per python-package-management skill): - Added agent-framework-monty = { workspace = true } to root pyproject.toml. - Added row to python/PACKAGE_STATUS.md. - Added monty entry under Experimental in python/AGENTS.md. - NOT added to core[all]; NO agent_framework.monty lazy shim (deferred to beta promotion). Samples (three sets, import from agent_framework_monty directly): - samples/02-agents/context_providers/code_act/monty_code_act.py (provider pattern) + updated local README. - samples/02-agents/tools/monty_code_interpreter/ (standalone + manual-wiring + README). - samples/04-hosting/foundry-hosted-agents/responses/11_monty_codeact/ (full hosted-agent layout with uv-based pyproject.toml + Dockerfile, Azure Monitor wiring via APPLICATIONINSIGHTS_CONNECTION_STRING + enable_instrumentation, ENABLE_INSTRUMENTATION and ENABLE_SENSITIVE_DATA env vars). The alpha wheel is vendored into ./wheels/ (gitignored) via vendor-wheel.sh; new row added to the parent Responses-API README. Tests: - 28 hermetic unit tests (stubbed pydantic_monty). - 18 integration tests marked @pytest.mark.integration, auto-skipped when pydantic_monty is unimportable; exercise the real Monty runtime: print round-trip, last-expression value, direct typed tool dispatch, call_tool fallback, async tool, asyncio.gather parallelism, ty type-check rejection, OS blocked by default, workspace_root read+write capture, read-only / overlay mount semantics, resource_limits.max_duration_secs abort, approval gating end-to-end, full Agent run with a scripted chat client. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Python: fix: monty FileMount test compares against the normalized POSIX path The shorthand string mount goes through _normalize_mount_path, which rewrites Windows drive letters like 'C:\\Users\\...' into '/C:/Users/...' (POSIX-style). The Windows CI runners surfaced this because tmp_path resolves to a backslashed Windows path; the test was comparing against the raw str(host_a) instead of the normalized form. Compare against _normalize_mount_path(str(host_a)) so the assertion is platform-independent. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Python: fix: address PR #5915 review feedback - _execute_code_tool docstring: clarify that the Monty backend supports scoped filesystem access via workspace_root / file_mounts (blocked by default). - _to_monty_mount: import pydantic_monty lazily through load_monty so missing-dependency errors surface as the same actionable RuntimeError the rest of the package raises (not a bare ImportError at module load). Renamed _load_monty -> load_monty for the same reason. - _python_type_repr: emit None for type(None) instead of Any, and normalize both typing.Union[...] and PEP-604 X | Y to PEP-604 syntax so Optional[X] / Union[..., None] / -> None signatures round-trip correctly through ty validation. Added a regression test. - _PrintCollector: track a running character count instead of recomputing sum(len(c) for c in self.chunks) per callback. Eliminates the O(n^2) cost on print-heavy code. - Instructions: mention that the value of the final expression is also returned alongside captured stdout (matches actual behavior). - 11_monty_codeact Dockerfile: pin ghcr.io/astral-sh/uv to 0.11.6 instead of :latest for reproducible builds. - 11_monty_codeact README: replace the bare "see parent README" pointer with sample-specific steps (./vendor-wheel.sh + uv sync + uv run), since the sample uses pyproject.toml + a vendored wheel rather than requirements.txt. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Python: sample: 11_monty_codeact installs agent-framework-monty from PyPI Drop the vendored-wheel scaffolding now that agent-framework-monty is on PyPI as an alpha (1.0.0a*) release: - pyproject.toml: remove [tool.uv.sources] override; keep [tool.uv] prerelease = "allow" so uv pulls the alpha automatically. - Dockerfile: drop the COPY wheels/ step. - README: drop the ./vendor-wheel.sh setup step and the not-yet-on-PyPI warning. - Delete vendor-wheel.sh and the gitignored wheels/ directory. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Python: fix(monty): harden post-execution file capture against symlink escape Same class of issue as the MSRC-reported Hyperlight finding: the post-execution capture walked workspace_root with Path.rglob() + is_file() + read_bytes() - all of which follow symlinks. An attacker who controls the workspace (cloned repo, extracted archive, shared workspace) could pre-place `workspace/leak.txt -> /etc/passwd` or `workspace/outside_dir -> /etc/` and have host files surface as captured Content items. Monty's mount layer already rejects symlink reads from inside the sandbox across all three modes (verified empirically), so the runtime path was safe. This commit closes the post-execution scan path. Changes: - New `_iter_real_files(root)` walker that uses iterdir() + is_symlink() to skip symlinks at every directory level and yields only real files. Replaces the previous `host_root.rglob("*")` calls in both `_snapshot_writable_mounts` and `_capture_written_files`. - Use `Path.lstat()` instead of `Path.stat()` so size/mtime can never be taken from a symlink target. - Three new integration tests reproducing the MSRC attack shape against the workspace_root flow: symlink-to-file outside workspace, symlink-to-directory outside workspace, and a guard ensuring legitimate sandbox writes are still captured when symlinks are present. Per user request, hyperlight is untouched in this commit (separate fix). Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Python: fix(monty): skip symlink regression tests when unsupported Apply the same Windows-CI safety guard as the hyperlight fix in PR #5919: the three symlink integration tests create symlinks via Path.symlink_to(), which fails with OSError / NotImplementedError on unprivileged Windows runners. Add a local _symlinks_supported helper (mirroring the one in packages/core/tests/core/test_skills.py) and pytest.skip when symlinks aren't available, so the tests no longer fail for environment reasons. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Python: fix(monty): address PR #5915 follow-up review feedback - _invoke_tool: drop the inspect.iscoroutinefunction(...) branch and always `await self.tool_map[name](**kwargs)`. Every entry in tool_map is `partial(FunctionTool.invoke, skip_parsing=True)` and FunctionTool.invoke is `async def`, so the branching was dead code - and on Python versions affected by cpython#98590, iscoroutinefunction(partial(bound_async_method, ...)) returns False, causing the bridge to take the asyncio.to_thread path, return an unawaited coroutine, and surface it as a JSON-serialization failure for every tool call. Added a regression test test_invoke_tool_awaits_partial_wrapped_async_method. - generate_type_stubs: skip tools whose name is not a valid Python identifier or is a Python keyword. FunctionTool.name has no upstream validation, so a name like "weird-name" produced a syntax error in the stubs and a name like "broken\n pass\nasync def injected" would inject arbitrary stub source. Non-identifier names stay reachable via `call_tool("weird-name", ...)` at runtime; they just don't get type-checked stubs. Added regression test test_generate_type_stubs_skips_non_identifier_tool_names. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --------- Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>Eduard van Valkenburg ·
2026-05-20 00:35:23 +00:00 -
Python: Bump agent-framework-ag-ui to release candidate stage (#5844)
* Bump agent-framework-ag-ui to release candidate stage * Mark agent-framework-ag-ui as rc in PACKAGE_STATUS
Evan Mattson ·
2026-05-14 14:56:34 +00:00 -
Python: Fix hyperlight WasmSandbox cross-thread Drop and harden hosted-agent sample (#5603)
* update hyperlight to beta and move samples, add hosted agent sample * Python: Fix hyperlight WasmSandbox cross-thread Drop and harden sample Root cause: when a worker-side closure raised, the exception's __traceback__ retained frame locals that included the partially constructed PyO3 sandbox. Future.result() re-raised that exception on the caller thread, and when the caller's exception was eventually GC'd the frame locals were released off-thread, dec_ref'ing the unsendable sandbox from the wrong thread and tripping the PyO3 panic '_native_wasm::WasmSandbox is unsendable, but is being dropped on another thread'. Fix: * Add _SandboxWorker._run_on_worker which catches every exception on the worker, drops __traceback__ there, deletes the original exception, and re-raises a fresh instance on the caller thread. initialize and execute route through it; dispose keeps its bare-submit semantics. * Add an opt-in diagnostic module _drop_diagnostic (no-op unless HYPERLIGHT_TRACE_DROPS=1) that installs a sys.unraisablehook and dumps owner-thread + per-thread stacks on any future cross-thread unsendable Drop. Useful for triaging similar PyO3 regressions. * Tests: cross-thread invocation, traceback-leak isolation, _SandboxEntry attribute-shape check, and a stale-reference stress test driven through asyncio.to_thread. Sample (samples/04-hosting/foundry-hosted-agents/responses/06_hyperlight_codeact): * Dockerfile installs agent-framework-* from in-tree source with python/ as build context so unreleased fixes can be validated end-to-end. * call_server.py pins the Responses API version. * main.py enables include_detailed_errors=True so future tool failures surface the actual exception text instead of a bare 'Error: Function failed.' string. * README.md documents the in-tree-package build and the Hyperlight hypervisor requirement (/dev/kvm on Linux, MSHV on Windows). Hosted environments without hypervisor passthrough surface 'No Hypervisor was found for Sandbox'; this is a hosting constraint, not a hyperlight bug. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Python: remove _drop_diagnostic from hyperlight package The diagnostic module was useful while bisecting the cross-thread Drop bug, but it is no longer needed now that _SandboxWorker._run_on_worker prevents the panic at the source. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Python: address PR review feedback on hyperlight - Use lazy agent_framework.hyperlight import in sample main.py. - Env-driven endpoint (FOUNDRY_AGENT_ENDPOINT) in call_server.py; remove personal URLs. - Align agent.yaml model deployment with manifest (gpt-4.1-mini). - Tighten Dockerfile requirements guard; drop dangling deploy.ps1 reference. - Preserve exception args when sanitizing tracebacks in _run_on_worker. - Add public _SandboxWorker.is_alive(); update test to avoid private attr. - Add namespace coverage tests for agent_framework.hyperlight lazy loader. - Add prominent note: Foundry hosted-agent runtime does not yet support Hyperlight (no hypervisor exposed); container works locally with /dev/kvm. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Python: bump hyperlight-sandbox dependencies to 0.4.x Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Python: renumber hyperlight codeact sample to 08 Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Coerce worker exception args to strings for cross-thread safety Stringify exc.args on the worker thread before propagating, so any PyO3 unsendable object captured in args (e.g. via a caller-supplied callback or underlying SDK) cannot be Dropped on the calling thread. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * moved sample --------- Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-05-05 10:06:16 +00:00 -
[Python] Add agent-framework-azure-ai-contentunderstanding package (#4829)
* feat: add agent-framework-azure-contentunderstanding package Add Azure Content Understanding integration as a context provider for the Agent Framework. The package automatically analyzes file attachments (documents, images, audio, video) using Azure CU and injects structured results (markdown, fields) into the LLM context. Key features: - Multi-document session state with status tracking (pending/ready/failed) - Configurable timeout with async background fallback for large files - Output filtering via AnalysisSection enum - Auto-registered list_documents() and get_analyzed_document() tools - Supports all CU modalities: documents, images, audio, video - Content limits enforcement (pages, file size, duration) - Binary stripping of supported files from input messages Public API: - ContentUnderstandingContextProvider (main class) - AnalysisSection (output section selector enum) - ContentLimits (configurable limits dataclass) Tests: 46 unit tests, 91% coverage, all linting and type checks pass. * fix: update CU fixtures with real API data, fix test assertions - Replace synthetic fixtures with real CU API responses (sanitized) - Update test assertions to match real data (Contoso vs CONTOSO, TotalAmount vs InvoiceTotal, field values from real analysis) - Add --pre install note in README (preview package) - Document unenforced ContentLimits fields (max_pages, duration) * chore: add connector .gitignore, update uv.lock * refactor: rename to azure-ai-contentunderstanding, fix CI issues Align naming with Azure SDK convention and AF pattern: - Directory: azure-contentunderstanding -> azure-ai-contentunderstanding - PyPI: agent-framework-azure-contentunderstanding -> agent-framework-azure-ai-contentunderstanding - Module: agent_framework_azure_contentunderstanding -> agent_framework_azure_ai_contentunderstanding CI fixes: - Inline conftest helpers to avoid cross-package import collision in xdist - Remove PyPI badge and dead API reference link from README (package not published yet) * feat: add samples (document_qa, invoice_processing, multimodal_chat) - document_qa.py: Single PDF upload, CU context provider, follow-up Q&A - invoice_processing.py: Structured field extraction with prebuilt-invoice - multimodal_chat.py: Multi-file session with status tracking - Add ruff per-file-ignores for samples/ directory - Update README with samples section, env vars, and run instructions * feat: add remaining samples (devui_multimodal_agent, large_doc_file_search) - S3: devui_multimodal_agent/ — DevUI web UI with CU-powered file analysis - S4: large_doc_file_search.py — CU extraction + OpenAI vector store RAG - Update README and samples/README.md with all 5 samples * feat: add file_search integration for large document RAG Add FileSearchConfig — when provided, CU-extracted markdown is automatically uploaded to an OpenAI vector store and a file_search tool is registered on the context. This enables token-efficient RAG retrieval for large documents without users needing to manage vector stores manually. - FileSearchConfig dataclass (openai_client, vector_store_name) - Auto-create vector store, upload markdown, register file_search tool - Auto-cleanup on close() - When file_search is enabled, skip full content injection (use RAG instead) - Update large_doc_file_search sample to use the integration - 4 new tests (50 total, 90% coverage) * fix: add key-based auth support to all samples Follow established AF pattern: check for API key env var first, fall back to AzureCliCredential. Supports AZURE_OPENAI_API_KEY and AZURE_CONTENTUNDERSTANDING_API_KEY environment variables. * FEATURE(python): add analyzer auto-detection, file_search RAG, and lazy init _context_provider.py: - Make analyzer_id optional (default None) with auto-detection by media type prefix: audio->audioSearch, video->videoSearch, else documentSearch - Add _ensure_initialized() for lazy client creation in before_run() - Add FileSearchConfig-based vector store upload - Fix: background-completed docs in file_search mode now upload to vector store instead of injecting full markdown into context messages - Add _pending_uploads queue for deferred vector store uploads devui_file_search_agent/ (new sample): - DevUI agent combining CU extraction + OpenAI file_search RAG azure_responses_agent (existing sample fix): - Add AzureCliCredential support and AZURE_AI_PROJECT_ENDPOINT fallback Tests (19 new), Docs updated (AGENTS.md, README.md) * feat(cu): MIME sniffing, media-aware formatting, unified timeout, vector store expiration - Add three-layer MIME detection (fast path → filetype binary sniff → filename fallback) to handle unreliable upstream MIME types (e.g. mp4 sent as application/octet-stream). Adds filetype>=1.2,<2 dependency. - Media-aware output formatting: video shows duration/resolution + all fields as JSON; audio promotes Summary as prose; document unchanged. - Unified timeout for all media types (removed file_search special-case that waited indefinitely for video/audio). All files use max_wait with background polling fallback. - Vector store created with expires_after=1 day as crash safety net. - Add 8 MIME sniffing tests (TestMimeSniffing class). * fix: merge all CU content segments for video/audio analysis CU's prebuilt-videoSearch and prebuilt-audioSearch analyzers split long media files into multiple `contents[]` segments. Previously, `_extract_sections()` only read `contents[0]`, causing truncated duration, missing transcript, and incomplete fields for any video/audio longer than a single scene. Now iterates all segments and merges: - duration: global min(startTimeMs) → max(endTimeMs) - markdown: concatenated with `---` separators - fields: same-named fields collected into per-segment list - metadata (kind, resolution): taken from first segment Single-segment results (documents, short audio) are unaffected. Update test fixture to realistic 3-segment video structure and expand assertions to verify multi-segment merging. Add documentation for multi-segment processing and speaker diarization limitation. * refactor: improve CU context provider docs and remove ContentLimits - Improve class docstring: clarify endpoint (Azure AI Foundry URL with example), credential (AzureKeyCredential vs Entra ID), and analyzer_id (prebuilt/custom with auto-selection behavior and reference links) - Add SUPPORTED_MEDIA_TYPES comments explaining MIME-based matching behavior and add missing file types per CU service docs - Use namespaced logger to align with other packages - Remove ContentLimits and related code/tests - Rename DEFAULT_MAX_WAIT to DEFAULT_MAX_WAIT_SECONDS for clarity * feat: support user-provided vector store in FileSearchConfig - Add vector_store_id field to FileSearchConfig (None = auto-create) - Track _owns_vector_store to only delete auto-created stores on close() - Remove vector_store_name; use internal _DEFAULT_VECTOR_STORE_NAME - Add inline comments for private state fields - Document output_sections default in docstring - Update AGENTS.md, samples, and tests * fix: remove ContentLimits from README code block * refactor: create CU client in __init__ instead of __aenter__ Follow Azure AI Search provider pattern: create the client eagerly in __init__, make __aenter__ a no-op. This ensures __aexit__/close() is always safe to call and eliminates the _ensure_initialized() workaround. * docs: add file_search param to class docstring * feat: introduce FileSearchBackend abstraction for cross-client support Replace direct OpenAI client usage with FileSearchBackend ABC: - OpenAIFileSearchBackend: for OpenAIChatClient (Responses API) - FoundryFileSearchBackend: for FoundryChatClient (Azure Foundry) - Shared base _OpenAICompatBackend for common vector store CRUD FileSearchConfig now takes a backend instead of openai_client. Factory methods from_openai() and from_foundry() for convenience. BREAKING: FileSearchConfig(openai_client=...) -> FileSearchConfig.from_openai(...) * refactor: FileSearchBackend abstraction + caller-owned vector store * fix: file_search reliability and sample improvements - Poll vector store indexing (create_and_poll) to ensure file_search returns results immediately after upload - Set status to failed when vector store upload fails - Skip get_analyzed_document tool in file_search mode to prevent LLM from bypassing RAG - Simplify sample auth: single credential, direct parameters - Use from_foundry backend for Foundry project endpoints * perf: set max_num_results=10 for file_search to reduce token usage * fix: move import to top of file (E402 lint) * chore: remove unused imports * fix: align azure-ai-contentunderstanding with MAF coding conventions - Add module-level docstrings to __init__.py and _context_provider.py - Use Self return type for __aenter__ (with typing_extensions fallback) - Use explicit typed params for __aexit__ signature - Add sync TokenCredential to AzureCredentialTypes union - Pass AGENT_FRAMEWORK_USER_AGENT to ContentUnderstandingClient - Remove unused ContentLimits from public API and tests - Fix FileSearchConfig tests to match refactored backend API - Fix lifecycle tests to match eager client initialization * refactor: improve CU context provider API surface and fix CI - Refactor _analyze_file to return DocumentEntry instead of mutating dict - Remove TokenCredential from AzureCredentialTypes (fixes mypy/pyright CI) - Remove OpenAIFileSearchBackend/FoundryFileSearchBackend from public API (internal to FileSearchConfig factory methods) - Remove DocumentStatus from public exports (implementation detail) - Update file_search comments to reflect backend-agnostic design - Add DocumentStatus enum, analysis/upload duration tracking - Add combined timeout for CU analysis + vector store upload * fix: improve file_search samples and move tool guidelines to context provider - Delete redundant devui_file_search_agent sample (duplicate of azure_openai variant) - Move tool usage guidelines from sample agent instructions into context provider (extend_instructions in step 6, applied automatically for all file_search users) - Fix file_search purpose: use from_foundry() for Azure OpenAI (purpose="assistants") - Add filename hint in upload instructions for targeted file_search queries - Reduce max_num_results from 10 to 3 in both devui samples - Simplify agent instructions in both samples (remove tool-specific guidance) * feat: improve source_id, integration tests, and content assertions - Rename DEFAULT_SOURCE_ID to "azure_ai_contentunderstanding" (matches azure_ai_search convention) - Improve source_id docstring to describe default value - Clarify _detect_and_strip_files docstring (CU-supported files) - Add invoice.pdf test fixture from Azure CU samples repo - Refactor integration tests to use invoice.pdf directly (assert instead of skip when fixture missing) - Add URI content test (Content.from_uri with external URL) - Add "CONTOSO LTD." content assertion to all integration tests - Use max_wait=None in integration tests (wait until complete) * feat: reject duplicate filenames, add integration tests and sample comments - Reject duplicate document keys in before_run (skip + warn LLM to rename) - Update _derive_doc_key docstring to document uniqueness constraint - Add unit tests for duplicate filename rejection (cross-turn and same-turn) - Add integration test for data URI content (from_uri with base64) - Add integration test for background analysis (max_wait timeout + resolve) - Add filename recommendation comments to all samples' Content.from_data() * chore: improve doc key derivation, comments, and README - Replace hash-based doc key with uuid4 for anonymous uploads (O(1), no payload traversal) - Remove hashlib import (no longer needed) - Add File Naming section to README (filename importance, duplicate rejection) - Improve inline comments (_derive_doc_key, _extract_binary, URL parsing) * test: strengthen _format_result assertions with exact expected strings - Replace loose 'in' checks with exact 'assert formatted == expected' for both multi-segment and single-segment format tests - Add object-type fields (ShippingAddress, Speakers) to test data to cover nested dict/list serialization - Add position-based ordering assertions to verify structural correctness (header -> markdown -> fields across segments) * refactor: move invoice.pdf to shared sample_assets directory - Move invoice.pdf from tests/cu/test_data/ to python/samples/shared/sample_assets/ as single source of truth - Add INVOICE_PDF_PATH constant in test_integration.py pointing to the shared location - Update document_qa.py, invoice_processing.py, large_doc_file_search.py to use invoice.pdf instead of sample.pdf * refactor: reorganize samples into numbered dirs and simplify auth - Move script samples into 01-get-started/ with numbered prefixes (01_document_qa, 02_multimodal_chat, 03_invoice_processing, 04_large_doc_file_search) - Move devui samples into 02-devui/ with 01-multimodal_agent and 02-file_search_agent/{azure_openai_backend,foundry_backend} - Move invoice.pdf to CU package-local samples/shared/sample_assets/ - Replace kwargs dicts with direct constructor calls; support both API key (AZURE_OPENAI_API_KEY) and AzureCliCredential - Update README sample table with new paths * fix: resolve CI lint errors (D205, RUF001, E501) - Fix D205: single-line docstring summary for _detect_and_strip_files - Fix RUF001: replace EN DASH with HYPHEN-MINUS in segment headers - Fix E501: wrap long assertion lines in tests - Also includes samples reorg and auth simplification * refactor: overhaul samples — FoundryChatClient, sessions, remove get_analyzed_document Samples: - Switch all samples from deprecated AzureOpenAIResponsesClient to FoundryChatClient - Add 02_multi_turn_session.py showing AgentSession persistence across turns - Rewrite 03_multimodal_chat.py with real PDF + audio + video (parallel analysis), per-modality follow-ups, cross-document question, elapsed time, user prompts, and input token counts - Renumber: 02->03 multimodal, 03->04 invoice, 04->05 file_search Context provider: - Remove get_analyzed_document tool -- full content is in conversation history via InMemoryHistoryProvider, no retrieval tool needed - Remove follow-up turn instructions about tools - Only list_documents tool remains (for status queries) - Update README to reflect tool removal * feat: add 05_background_analysis sample and fix 04 session/max_wait - Add 05_background_analysis.py demonstrating non-blocking CU analysis with max_wait=1s, status tracking via list_documents(), and automatic background task resolution on subsequent turns - Fix 04_invoice_processing.py: add max_wait=None and AgentSession - Rename 05→06 large_doc_file_search - Update README sample table * docs: update README and fix sample 06 README: - Switch Quick Start from AzureOpenAIResponsesClient to FoundryChatClient - Add AgentSession to Quick Start example - Fix status values: pending -> analyzing/uploading/ready/failed - Fix env var: AZURE_OPENAI_RESPONSES_DEPLOYMENT_NAME -> AZURE_OPENAI_DEPLOYMENT_NAME - Update samples section with new paths, link to samples/README.md - Update multi-segment description to reflect per-segment fields Sample 06: - Fix from_openai -> from_foundry for Azure endpoints - Add AgentSession and max_wait=None * docs: rewrite README — concise format, prerequisites, CU link * fix: resolve pyright errors in _format_result segment cast * docs: add numbered section comments and fresh sample output to all samples - Add numbered section comments (# 1. ..., # 2. ...) per SAMPLE_GUIDELINES - Re-run all 6 samples and update expected output with real results - Fix duplicate sample output blocks in 04 and 05 - Update README code example to use public invoice URL * feat: add load_settings support for env var configuration - Make endpoint optional in constructor — auto-loads from AZURE_CONTENTUNDERSTANDING_ENDPOINT env var via load_settings() - Add ContentUnderstandingSettings TypedDict - Add env_file_path/env_file_encoding params for .env file support - Add 4 unit tests: env var loading, explicit override, missing endpoint error, missing credential error - Update README with env var auto-resolution docs - Follows framework convention used by all other packages * docs: polish README — fix duplicate env var, add Next steps, service limits link * chore: trim invoice fixture from 199K to 33 lines Keep only VendorName, InvoiceTotal, DueDate, InvoiceDate, InvoiceId fields and first 500 chars of markdown. Strip spans/source/coordinates. Reduces fixture from 6.6MB to 1.2KB. * feat: per-file analyzer_id override via additional_properties - Read analyzer_id from Content.additional_properties for per-file override - Resolution order: per-file > provider-level > auto-detect by media type - Update class docstring documenting filename and analyzer_id properties - Update sample 04 to demonstrate per-file override (prebuilt-invoice) - Add unit test for per-file analyzer override * Trim PDF test fixture and clarify unique filename requirement - Trim analyze_pdf_result.json from 4427 to 23 lines by removing pages, words, lines, paragraphs, sections, spans, and source fields that are not used by any unit test. - Add docstring note that filename must be unique within a session; duplicate filenames are rejected and the file will not be analyzed. * Update python/packages/azure-ai-contentunderstanding/agent_framework_azure_ai_contentunderstanding/_context_provider.py Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> * Update python/packages/azure-ai-contentunderstanding/agent_framework_azure_ai_contentunderstanding/_context_provider.py Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> * Update python/packages/azure-ai-contentunderstanding/samples/02-devui/02-file_search_agent/azure_openai_backend/agent.py Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> * Update python/packages/azure-ai-contentunderstanding/samples/02-devui/01-multimodal_agent/agent.py Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> * Update python/packages/azure-ai-contentunderstanding/samples/01-get-started/06_large_doc_file_search.py Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> * Fix AGENTS.md to match implementation; remove unused variable in test helper AGENTS.md: - Remove _ensure_initialized() reference (client is created in __init__) - Fix multi-segment docs: segments kept as list, not merged into fields - Remove get_analyzed_document() reference (only list_documents registered) - Update sample names to match current directory structure test_context_provider.py: - Simplify _make_data_uri() — remove unused 'encoded' variable * Fix premature file_search instruction for background-completed docs - Change _resolve_pending_tasks() instruction from 'Use file_search' to 'being indexed' since the upload hasn't completed yet at that point. - Add LLM instruction on upload failure in step 1b so the agent can inform the user the document isn't searchable. * fix: wrap long line in devui agent instructions (E501) * Fix Copilot review: unused logger, stray code in README, await cancelled tasks - _file_search.py: Remove unused logger and logging import - 01-multimodal_agent/README.md: Remove accidentally pasted Python script - _context_provider.py close(): Await cancelled tasks before closing client to prevent 'Task destroyed but pending' warnings * Sanitize doc keys and fix duplicate filename re-injection - Add _sanitize_doc_key() to strip control characters, collapse whitespace, and cap length at 255 chars — prevents prompt injection via crafted filenames in extend_instructions() calls. - Track accepted doc_keys in step 3 so step 5 only injects content for files actually analyzed this turn, not pre-existing duplicates. - Soften duplicate upload instruction wording (remove IMPORTANT/caps). * fix: add type annotation to tasks_to_cancel for pyright * Move per-session mutable state to state dict for session isolation Previously _pending_tasks, _pending_uploads, and _uploaded_file_ids were stored on self, shared across all sessions. This caused cross-session leakage: Session A's background task results could be injected into Session B's context. Now these are stored in the per-session state dict. Global copies (_all_pending_tasks, _all_uploaded_file_ids) are kept on self only for best-effort cleanup in close(). Add 2 new TestSessionIsolation tests verifying that background tasks and resolved content stay within their originating session. * Remove unused AnalysisSection enum values Only MARKDOWN and FIELDS are handled by _extract_sections(). Remove FIELD_GROUNDING, TABLES, PARAGRAPHS, SECTIONS to avoid exposing dead options to users. * Recursively flatten object/array field values for cleaner LLM output - Use SDK .value property with recursive extraction for object/array fields - Object: AmountDue -> {Amount: 610, CurrencyCode: USD} (was raw SDK dict) - Array: LineItems -> list of flattened items (was raw SDK list) - Update invoice fixture with object/array fields from prebuilt-invoice - Add 3 unit tests for object, array, and nested object field extraction * Preserve sub-field confidence; compare full expected JSON in tests * Remove incorrect MIME aliases (audio/mp4, video/x-matroska) * feat: add AnalysisInput, content_range, warnings, and category support - Use SDK AnalysisInput model instead of raw body dict for begin_analyze - Forward content_range from additional_properties to CU (page/time ranges) - Extract CU warnings with code/message/target (ODataV4Format) into output - Include content-level category from classifier analyzers - Add 5 new tests: warnings, category, content_range forwarding - Fix pyright with explicit casts; fix en-dash lint (RUF002) * fix: falsy-0 bug in duration calc; improve test coverage - Fix start_time_ms=0 treated as falsy by 'or' short-circuit, use 'is None' checks instead for duration and segment time extraction - Update warnings test to use RAI ContentFiltered codes - Enrich warnings extraction to include code/message/target (ODataV4Format) - Add multi-segment video category test with per-segment assertions * refactor: split _context_provider.py into focused modules - Extract _constants.py: SUPPORTED_MEDIA_TYPES, MIME_ALIASES, analyzer maps - Extract _detection.py: file detection, MIME sniffing, doc key derivation - Extract _extraction.py: result extraction, field flattening, LLM formatting - _context_provider.py delegates via thin wrappers (793 lines, was 1255) - Update test imports to use _constants.py for SUPPORTED_MEDIA_TYPES * docs: update AGENTS.md with DocumentStatus, FileSearchBackend, and _file_search.py * refactor: replace AnalysisSection enum with Literal type for simpler DX - Remove AnalysisSection(str, Enum) class, replace with Literal["markdown", "fields"] type alias - Users can now pass plain strings: output_sections=["markdown"] — no extra import needed - AnalysisSection type alias still exported for type annotation use - Update all samples, tests, and internal code to use string literals - Address PR review feedback (eavanvalkenburg) * refactor: replace asyncio.Task with continuation tokens for serializable state - Replace state["_pending_tasks"] (asyncio.Task — not serializable) with state["_pending_tokens"] (dict of continuation token strings) so the framework can persist session state to disk/storage - Resume pending analyses via Azure SDK continuation_token mechanism - Fix: resumed pollers have stale cached status (done() always False), use asyncio.wait_for(poller.result()) with 10s min timeout instead - Remove _background_poll(), _all_pending_tasks, and task cancellation - Address PR review feedback (eavanvalkenburg): state must be serializable * fix: resolve CI lint (RUF052) and mypy (call-overload) errors * feat: add structured output (Pydantic model) to invoice processing sample - Use response_format=InvoiceResult for schema-constrained LLM output - Use output_sections=["fields"] only (no markdown needed for structured output) - Add LowConfidenceField model with confidence values - Add comments about prebuilt-invoice extensive schema vs simplified model - Address PR review feedback (eavanvalkenburg): use structured response * fix: use FOUNDRY_PROJECT_ENDPOINT and FOUNDRY_MODEL env vars in all samples Replace AZURE_AI_PROJECT_ENDPOINT → FOUNDRY_PROJECT_ENDPOINT and AZURE_OPENAI_DEPLOYMENT_NAME → FOUNDRY_MODEL across all sample .py and README.md files. Address PR review feedback (eavanvalkenburg). * refactor: remove background_analysis sample, use FoundryChatClient in DevUI - Remove 05_background_analysis.py (per reviewer feedback — discuss max_wait design separately from samples) - Renumber 06_large_doc_file_search.py → 05_large_doc_file_search.py - Replace AzureOpenAIResponsesClient with FoundryChatClient in all DevUI samples - Replace client.as_agent() with Agent(client=client, ...) everywhere - Add max_wait comments explaining interactive vs batch usage - Update README.md and AGENTS.md - Address PR review feedback (eavanvalkenburg) * fix: vector_stores API moved from beta namespace in OpenAI SDK * docs: add comments about multi-file support and CU service limits in file_search sample * fix: broken markdown links after sample removal and renumbering * fix: migrate BaseContextProvider to ContextProvider (non-deprecated) * fix: Message(text=) -> Message(contents=[]) for API compatibility * Inline _constants.py into consuming modules Remove _constants.py and move constants to where they are used: - SUPPORTED_MEDIA_TYPES, MIME_ALIASES → _detection.py - MEDIA_TYPE_ANALYZER_MAP, DEFAULT_ANALYZER → _context_provider.py Addresses review feedback to reduce file count. * Mark package as alpha per package management skill - Version: 1.0.0b260401 → 1.0.0a260401 - Classifier: Development Status 4 - Beta → 3 - Alpha - Add to PACKAGE_STATUS.md as alpha Follows the alpha package checklist from python-package-management skill. * Replace extend_instructions with extend_messages for status notifications Status/error/result notifications now use extend_messages (conversation context) instead of extend_instructions (system prompt). This avoids system prompt bloat and keeps behavioral directives separate from event notifications. - 11 extend_instructions calls → extend_messages (role='user') - 1 extend_instructions retained: tool usage guidelines (behavioral) - 6 test assertions updated to check context_messages All 84 unit tests + 5 live integration tests pass. * Fix lint: E402 import order, ISC004 implicit string concatenation - Move constants after all imports to fix E402 - Wrap multi-line strings in parentheses inside contents=[] to fix ISC004 * Fix lint: remove unused json import in invoice sample * Fix CI: apply ruff format + fix E501 line length after reformatting ruff format expands Message() calls to multi-line, pushing string indentation deeper. Break long strings to fit within 120 char limit after formatting. Also removes unused json import in sample. * Address review feedback: keyword-only args, accept pre-built client, remove wrappers - All __init__ args now keyword-only (matches FoundryChatClient pattern) - New 'client' param accepts pre-built ContentUnderstandingClient - core dep bound: >=1.0.0rc5 → >=1.0.0,<2 - Self import moved after local imports - Removed 9 static method wrappers; callsites use module functions directly - Tests updated to import derive_doc_key and format_result directly * fix: remove duplicate ContentUnderstandingClient instantiation The client was being created twice — once inside the if/else block and again unconditionally after it. The second instantiation overwrote the pre-built client path and failed type checking when credential was None. * rename: azure-ai-contentunderstanding → azure-contentunderstanding Package: agent-framework-azure-ai-contentunderstanding → agent-framework-azure-contentunderstanding Module: agent_framework_azure_ai_contentunderstanding → agent_framework_azure_contentunderstanding Directory: packages/azure-ai-contentunderstanding → packages/azure-contentunderstanding Per agreement with PM and MAF team to drop 'AI' from the package name. * feat: add ContentUnderstanding re-export to agent_framework.foundry namespace Enables: from agent_framework.foundry import ContentUnderstandingContextProvider Exports: ContentUnderstandingContextProvider, FileSearchConfig, FileSearchBackend, AnalysisSection, DocumentStatus Updates all samples and README to use the foundry namespace import. * fix: add missing copyright headers to standalone sample scripts * chore: remove .vscode/settings.json and add to .gitignore * refactor: reuse FoundryChatClient.client for vector store ops in file_search sample Address review feedback from TaoChenOSU: - 05_large_doc_file_search.py: use client.client instead of manually constructing AsyncAzureOpenAI; remove openai dependency - azure_openai_backend/agent.py: import reorder only (AIProjectClient kept — required for sync vector store creation in DevUI) * fix: skip closing client when caller passes pre-built client When a ContentUnderstandingClient is passed via client=, the caller owns its lifecycle. Added _owns_client flag so close() only closes the client when we created it internally. --------- Co-authored-by: yungshinlin <yungshin@msn.com> Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>Yung-Shin Lin ·
2026-04-28 20:55:59 +00:00 -
Python: Add Hyperlight CodeAct package and docs (#5185)
* initial work on code_mode * updated samples * updates to codeact * udpated codeact * Draft CodeAct ADR and sample updates Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * initial implementation and adr and feature * Python: Limit Hyperlight wasm backend to Python <3.14 Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Python: Fix CI for Hyperlight CodeAct PR Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Python: Run Hyperlight integration when available Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Python: Address Hyperlight review feedback Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Python: Simplify Hyperlight file mount inputs Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Python: Accept Path host paths in Hyperlight mounts Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Python: Fix Hyperlight mount typing for CI Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * temp run integration test * Python: Strengthen Hyperlight real sandbox tests Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * added additional tests * Python: Simplify Hyperlight CodeAct API Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * set tests as non-integration * Retry Hyperlight allowed-domain registration Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Gate Hyperlight integration tests by runtime support Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Fix Hyperlight skip test on Python 3.14 Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Delay Hyperlight runtime probe until test execution Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Relax Hyperlight Windows integration stdout assertion Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Scan Hyperlight output directory for artifacts Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Retry Hyperlight output artifact collection Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Harden Hyperlight integration output assertions Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Retry Hyperlight read-back check in integration test Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Simplify Hyperlight integration write assertion Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Avoid pathlib in Hyperlight integration sandbox Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Use socket network check in Hyperlight sandbox Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Replace blocked Azure AI Search blog link Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Clarify Hyperlight guest stdlib limits Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Use _socket in Hyperlight integration sandbox Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Handle Hyperlight mounted file paths Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Broaden Hyperlight sandbox path fallbacks Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Search Hyperlight guest mounts recursively Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Split Hyperlight mount coverage Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Split Hyperlight live network tests Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Fix Hyperlight file-write test on Windows Enable the sandbox filesystem by providing a workspace_root so /output is mounted. Remove os.path.exists assertion (unsupported in WASM guest) and fix Content data assertion to use .uri. Skip the network integration test on Windows where the WASM sandbox lacks the encodings.idna codec. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Address PR review: ADR intro, manual wiring sample, doc clarifications - Add CodeAct introduction section to ADR for unfamiliar readers - Clarify 'less runtime efficient' con with specific overhead description - Add note in Python impl doc clarifying ADR vs impl doc split - Explain why before_run hooks must be per-run (CRUD, concurrency, approval) - Rename code_interpreter variable to codeact in E2E sample - Add manual static wiring sample (codeact_manual_wiring.py) - Add 'when to use which pattern' guidance to samples README Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Address PR #5185 review comments and add .NET CodeAct design doc - Fix async callback: _make_sandbox_callback returns sync wrapper with thread + asyncio.run() bridge (was broken with real Wasm FFI) - Fix stale output: clear output_dir before each sandbox.run() call - Fix blocking event loop: _run_code now async with asyncio.to_thread() - Revert _agents.py options['tools'] injection (unnecessary; provider uses context.extend_tools()) - Revert SessionContext.options docstring back to read-only - Add real-sandbox test fixtures (shared/restored/fresh) - Add 8 new real-sandbox tests for callback round-trip, stale output, event loop non-blocking, basic execution, stdout/stderr, errors, snapshot/restore, and tool registration - Add comprehensive .NET HyperlightCodeActProvider design document Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Update hyperlight README with code snippets and remove Public API section Replace bare export list with Quick Start code examples covering the context provider, standalone tool, manual static wiring, and file mounts / network access patterns. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --------- Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-04-17 00:49:44 +00:00 -
Python: Add GeminiChatClient (#4847)
* Add agent-framework-gemini package * Add AGENTS.md documentation * Add LICENSE file * Add README.md for agent-framework-gemini package * Add Google Gemini API keys to .env.example * Add Google Gemini chat client implementation * Add tests for GeminiChatClient * Add Google Gemini agent examples * Fix client inheritence order * Update Gemini agent examples * Update documentation * Update AGENTS.md * Add tests for JSON string handling in GeminiChatClient * Add final response assembly test in GeminiChatClient * Add tests for handling empty candidates in GeminiChatClient * Improve Pydantic response handling in GeminiChatClient * Add tests for function result resolution and callable tool normalization * Add test for function result resolution when call_id is generated * Refactor GeminiChatClient to correct inheritance order Also updates constructor parameter order for environment file handling * Enhance documentation and clarify Gemini-specific fields * Update ThinkingConfig with new attributes and type * Add tests for GoogleSearch and GoogleMaps configs * Suppress valid-type mypy error on GeminiChatOptionsT * Move service_url method near overrides * Order _prepare_config kwargs by base then Gemini-specific * Use FunctionCallingConfigMode for clarity and type safety * Fix code_execution doc * Add agent-framework-gemini to project dependencies * Remove package from core dependencies Initial release will be done without agent-framework-gemini in core[all]. * Move integration tests into one file * Remove __init__.py file from gemini tests directory * Introduce RawGeminiChatClient as lightweight chat client Updated GeminiChatClient to inherit from RawGeminiChatClient, maintaining full functionality with added features. * Updated variable names from `model_id` to `model` Across the codebase, including environment variables and client initialization. Adjusted related tests and sample scripts to reflect this change, ensuring consistency in the usage of the Gemini model identifier. * Update AGENTS.md * Update Gemini package to alpha status * Fix docstrings in Gemini tests * Change 'model_id' to 'model' in response handling * Fix model property change in response handling * Add built-in tool factory methods to Gemini client Replaces boolean tool options (code_execution, google_search_grounding, google_maps_grounding) with static factory methods that return types.Tool objects: get_code_interpreter_tool, get_web_search_tool, get_mcp_tool, get_file_search_tool, and get_maps_grounding_tool. Simplifies _prepare_tools to a single translation boundary between FunctionTool (framework) and FunctionDeclaration (Gemini API), with types.Tool objects passed through unchanged. * Surface code execution parts _parse_parts now maps executable_code and code_execution_result parts to text Content objects so callers can see the code run and its output. Unknown part types log at debug level rather than being silently dropped. * Update Gemini client documentation * Unify Gemini model name Co-authored-by: Eduard van Valkenburg <eavanvalkenburg@users.noreply.github.com> * Update Agent Framework core version Co-authored-by: Eduard van Valkenburg <eavanvalkenburg@users.noreply.github.com> * Add Python 3.14 in classifiers * Replace kwargs with parameters in tool factories * Refactor chat options handling in Gemini client * Add tests for handling unknown and consumed keys * Update Gemini documentation Now reflects new options and built-in tool factory methods * Change build system to flit Co-authored-by: Eduard van Valkenburg <eavanvalkenburg@users.noreply.github.com> * Fix build system in pyproject.toml * Fix type checking for generate_content_stream --------- Co-authored-by: Eduard van Valkenburg <eavanvalkenburg@users.noreply.github.com>
Björn Holtvogt ·
2026-04-14 10:18:26 +00:00 -
Python: [BREAKING] update to v1.0.0 (#5062)
* updates to final deprecated pieces and versions * fix mypy * fix readme links
2026-04-02 15:26:30 +00:00