* Upgrade github-copilot-sdk to v1.0.0b1 and implement new features
- Bump github-copilot-sdk dependency from 0.2.1 to 1.0.0b1
- Fix breaking type renames: ErrorClass -> ToolExecutionCompleteError,
Result -> ToolExecutionCompleteResult
- Add instruction_directories support in GitHubCopilotOptions (session-level)
- Add copilot_home support in GitHubCopilotSettings (client-level)
- Add sample: github_copilot_with_instruction_directories.py
- Update README with new env var and sample entry
- Add 8 new unit tests covering the new features (103 total, 96% coverage)
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* mypy fix
* small fix
* Address PR feedback: fix resume path, remove copilot_home from Options, bump to beta.2
- Forward runtime_options through _resume_session (fixes silent drop of
instruction_directories/model/etc on resumed sessions)
- Remove copilot_home from GitHubCopilotOptions (client-level setting only
consumed at startup, not per-call)
- Bump github-copilot-sdk from 1.0.0b1 to 1.0.0b2
- Add test for instruction_directories override on resumed sessions
- Update existing resume test to match new _resume_session signature
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
---------
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Remove Foundry toolbox helpers; standardize on MCP for toolbox consumption
- Remove RawFoundryChatClient.get_toolbox() and its fetch_toolbox import
- Remove fetch_toolbox, select_toolbox_tools, get_toolbox_tool_name,
get_toolbox_tool_type, FoundryHostedToolType, ToolboxToolSelectionInput
from agent_framework_foundry._tools
- Remove ExperimentalFeature.TOOLBOXES from _feature_stage.py (no consumers)
- Drop toolbox re-exports from agent_framework_foundry/__init__.py and
agent_framework.foundry namespace
- Update _sanitize_foundry_response_tool docstring to remove toolbox framing;
sanitization logic itself is unchanged
- Update _agent.py docstring: 'toolbox-fetched MCP' → 'hosted MCP'
- Delete tests/test_toolbox.py (all tests covered removed helpers)
- Update test_foundry_chat_client.py: rename/redoc tests that mentioned
toolbox but test sanitization that remains
- Delete foundry_chat_client_with_toolbox.py (bespoke toolbox API sample)
- Delete foundry_toolbox_context_provider.py (relied on select_toolbox_tools)
- Rename foundry_chat_client_with_toolbox_mcp.py →
foundry_chat_client_with_toolbox.py (canonical MCP pattern)
- Rewrite 04_foundry_toolbox/main.py to use MCPStreamableHTTPTool
- Update provider/README, context_providers/README, 04_foundry_toolbox/README
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* fix(samples): update 06_files sample to consume toolbox via MCP (#5670)
Replace removed get_toolbox/select_toolbox_tools APIs with
MCPStreamableHTTPTool, using allowed_tools=["code_interpreter"] to
select only the code interpreter from the toolbox endpoint.
Update .env.example and README to use FOUNDRY_TOOLBOX_ENDPOINT
instead of TOOLBOX_NAME.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* fix(foundry): remove non-existent toolbox helper APIs from README (#5670)
Remove the 'fetch, optionally filter, and pass tools directly' pattern
from the FoundryChatClient toolbox documentation, as select_toolbox_tools
and get_toolbox were removed. Only the MCP endpoint pattern is documented.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* fix(foundry): remove residual toolbox docstring references and reproduction report
Remove REPRODUCTION_REPORT.md (workflow artifact that should not be committed),
and update two remaining docstring references that still said 'toolbox reads'
/'toolbox definition' after the toolbox helpers were removed.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Python: Remove bespoke Foundry toolbox helpers; standardize on MCP for toolbox consumption
Fixes#5670
* fix(#5670): resolve toolbox endpoint from TOOLBOX_NAME fallback; add namespace regression tests
- Add _resolve_toolbox_endpoint() helper in 04_foundry_toolbox/main.py and
06_files/main.py that prefers FOUNDRY_TOOLBOX_ENDPOINT but falls back to
deriving the MCP URL from FOUNDRY_PROJECT_ENDPOINT + TOOLBOX_NAME — fixing
the startup KeyError when agents are deployed via azd provision (which injects
TOOLBOX_NAME, not FOUNDRY_TOOLBOX_ENDPOINT).
- Update 04_foundry_toolbox/.env.example to use FOUNDRY_TOOLBOX_ENDPOINT
(consistent with 06_files).
- Add TOOLBOX_NAME env var to 06_files/agent.yaml so deployed agents have it
available for the fallback derivation.
- Update both READMEs to document the two ways to supply the toolbox endpoint.
- Add test_foundry_namespace_no_longer_exposes_toolbox_helpers() with negative
assertions for FoundryHostedToolType, get_toolbox_tool_name,
get_toolbox_tool_type, and select_toolbox_tools — guarding against accidental
re-introduction of removed symbols.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* fix(samples): fail fast on empty FOUNDRY_TOOLBOX_ENDPOINT; add unit tests
Addresses review feedback for #5670:
- In _resolve_toolbox_endpoint() (04_foundry_toolbox/main.py and
06_files/main.py) change the walrus-operator check from a truthy
test to an explicit 'is not None' guard. An explicitly set empty
string now raises ValueError immediately with a clear message
instead of silently falling through to the fallback URL
construction.
- Add tests/samples/hosting/test_toolbox_endpoint.py covering both
sample modules:
(a) FOUNDRY_TOOLBOX_ENDPOINT set → returned as-is
(b) FOUNDRY_TOOLBOX_ENDPOINT set to empty string → ValueError
(c) fallback constructs URL from FOUNDRY_PROJECT_ENDPOINT + TOOLBOX_NAME,
stripping trailing slashes
(d) neither variable group set → KeyError
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Address review feedback: remove extraneous test and docstring content
- Remove test_foundry_namespace_no_longer_exposes_toolbox_helpers (no longer warranted)
- Remove docstring from _agent.py _prepare_tools_for_openai (extraneous)
- Trim _chat_client.py _prepare_tools_for_openai docstring to one-liner (toolbox references no longer relevant)
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* fix: remove remaining extraneous docstring from RawFoundryChatClient._prepare_tools_for_openai
Address review comment on PR #5671: reviewer noted the description
isn't warranted now that toolbox helpers have been removed. Matches
the pattern in RawFoundryAgentChatClient which has no docstring.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
---------
Co-authored-by: Copilot <copilot@github.com>
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Python: Support GPT-5 verbosity option and restore Foundry agent_reference
Adds verbosity as a typed Literal["low","medium","high"] field on
OpenAIChatOptions (Responses API) and OpenAIChatCompletionOptions (Chat
Completions API), set in the same way as the existing reasoning options.
For the Responses API, top-level verbosity is translated to the nested
text.verbosity shape the OpenAI service expects. The same field flows
through to FoundryChatClient via the existing FoundryChatOptions alias.
Also fixes#5582: PR #5447 removed the agent_reference injection from
RawFoundryAgentChatClient._prepare_options, so first-turn calls against
a Foundry Prompt Agent went out without model and without agent_reference
and were rejected by the Responses API with "Missing required parameter:
'model'". Restores the injection on the non-preview path
(allow_preview=False) and adds a guard test that asserts the preview
path does not inject agent_reference, since the preview SDK injects it
via project_client.get_openai_client(agent_name=...).
Closes#5516Closes#5582
* Python: Address Copilot review on PR #5619
- Foundry verbosity sample docstring: replace the misleading "set deployment
name on model=" instruction with the actual env-var pattern the sample relies
on (FOUNDRY_PROJECT_ENDPOINT and FOUNDRY_MODEL).
- _build_agent_reference docstring: clarify the helper is used for both
Prompt Agents and HostedAgents on the non-preview path.
- Add a Responses API test that locks in the documented precedence rule:
when both top-level verbosity and text["verbosity"] are supplied, the
top-level value wins.
* Python: Drop redundant Foundry verbosity sample and list OpenAI sample in README
- Remove samples/02-agents/providers/foundry/foundry_chat_client_verbosity.py
per review feedback. The verbosity functionality is identical across the
OpenAI and Foundry clients (FoundryChatOptions is an alias of
OpenAIChatOptions), so a single sample on the OpenAI side is sufficient.
- Add the new client_verbosity.py entry to the OpenAI samples README.
* Python: Enforce approval_mode in Claude and GitHub Copilot agents
Tools declared with approval_mode="always_require" were bypassed by the
ClaudeAgent and GitHubCopilotAgent because their SDK-managed tool-calling
loops invoke FunctionTool.invoke() directly via package-supplied handlers,
skipping the standard _try_execute_function_calls approval gate.
Per discussion on #5494, the fix lives in the agents (not in FunctionTool):
any flag added to the tool itself can be spoofed by code with the same
level of access, so the security boundary is the agent that owns the
tool-calling loop.
- Add on_function_approval option to ClaudeAgentOptions and
GitHubCopilotOptions. Callback receives a FunctionCallContent describing
the pending call and returns bool (sync or async).
- Gate FunctionTool.invoke() inside each agent's existing tool-handler
closure when approval_mode == "always_require". Default policy is deny;
callbacks that raise also deny safely.
- Deny path returns a tool-error to the model (Claude: text content;
Copilot: ToolResult(result_type="failure", error="approval_denied"))
so the LLM can react gracefully instead of silently failing.
- Tests for both agents covering: deny by default, sync False, sync True,
async True, callback-raises -> deny, no-op for never_require tools.
- Samples demonstrating sync, async, and deny-by-default flows for both
agents.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Address PR review: preserve empty arg dicts, reject runtime approval override
- _resolve_function_approval no longer collapses {} into None when building
the FunctionCallContent passed to the callback (Claude + Copilot).
- Claude _apply_runtime_options and Copilot _run_impl/_stream_updates now
raise ValueError if on_function_approval is supplied via per-run options,
instead of silently ignoring it. Approval policy must be set at agent
construction time.
- Drop unnecessary # type: ignore[attr-defined] on Content.name/.arguments
in samples (Content is a unified class with both attributes defined).
- Add regression tests for the new runtime-options validation.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* warning when non callback handler and approval needed
---------
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Python: Add OpenTelemetry integration for GitHubCopilotAgent
- Split GitHubCopilotAgent into RawGitHubCopilotAgent (core, no OTel) and
GitHubCopilotAgent(AgentTelemetryLayer, RawGitHubCopilotAgent) with tracing
- Add default_options property to expose model for span attributes
- Export RawGitHubCopilotAgent from all public namespaces
- Add github_copilot_with_observability.py sample and update README
* Python: Fix OTEL_SERVICE_NAME default in GitHub Copilot README
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
* Python: Add unit tests for RawGitHubCopilotAgent.default_options property
* Python: Address review feedback on GitHubCopilotAgent OTel integration
- Add middleware param to GitHubCopilotAgent.run() overloads so per-call
middleware is explicitly forwarded through AgentTelemetryLayer
- Remove github_copilot_with_observability.py sample per feedback; replace
with inline snippet + link to observability samples in README
* Python: Address review feedback on log_level and session kwargs typing
- Add middleware param to RawGitHubCopilotAgent.run() overloads for interface
compatibility with AgentTelemetryLayer
- Fix import in README observability snippet to use agent_framework.github
* Python: Add AgentMiddlewareLayer to GitHubCopilotAgent MRO
Follow FoundryAgent pattern: AgentMiddlewareLayer runs outside the telemetry
span so middleware execution time is not captured in traces. Overloads removed
as AgentMiddlewareLayer.run() handles dispatch via MRO.
* Python: Add explicit __init__ to GitHubCopilotAgent for auto-complete and docstrings
* Python: Address review feedback on middleware warning and test assertions
- Add assert "timeout" not in opts to test_default_options_includes_model_for_telemetry
to document the intentional asymmetry where timeout is extracted into _settings
and not returned in default_options.
- Replace silent del middleware with a logged warning when per-run middleware is
passed to RawGitHubCopilotAgent, making it clear that the GitHub Copilot SDK
handles tool execution internally and chat/function middleware cannot be injected.
* Python: Use Self for __aenter__ return type in RawGitHubCopilotAgent
Address review feedback: use typing.Self (3.11+) / typing_extensions.Self
(3.10) for __aenter__ so subclasses like GitHubCopilotAgent get the correct
return type from async context manager usage.
---------
Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>
* fix(foundry): reconcile toolbox hosted-tool payloads with Responses API
* docs(foundry): update create_sample_toolbox docstring to reflect all tools created
* Add support for the Foundry Toolbox in MAF
Introduces a Foundry Toolbox integration: FoundryChatClient gains a
get_toolbox() helper plus select_toolbox_tools(), normalize_tools in
the core package flattens tool-collection wrappers (ToolboxVersionObject
and generic iterables, while leaving Pydantic BaseModel instances
alone), and the new agent_framework.foundry namespace re-exports the
toolbox helpers. Ships with unit tests, a sample, and a design doc.
azure-ai-projects is pinned to the public >=2.0.0,<3.0 range and the
lockfile resolves from public PyPI. The toolbox test module skips when
Toolbox* types are unavailable so CI stays green until the public 2.1.0
SDK lands. OMC tooling directories (.omc/, .omx/) are gitignored.
* Update to latest azure ai projects package
* Improve sample
* Rename ADR to 0025
* Update ADR
* Apply suggestion from @alliscode
Co-authored-by: Ben Thomas <ben.thomas@microsoft.com>
* Improve samples
* Update test
---------
Co-authored-by: Ben Thomas <ben.thomas@microsoft.com>
* Python: Migrate GitHub Copilot package to SDK 0.2.x
Replace all imports from the non-existent copilot.types module with
correct SDK 0.2.x module paths (copilot.session, copilot.client,
copilot.tools, copilot.generated.session_events). Fix PermissionRequest
attribute access from dict-style .get() to dataclass attribute access.
Add OTel telemetry support to Copilot samples via configure_otel_providers
and document new telemetry environment variables in samples README.
* Python: Fix remaining copilot.types import in sample validation script
* Python: Include model in default_options for telemetry span attributes
* Python: Address review feedback on log_level and session kwargs typing
* Python: Scope PR to SDK 0.2.x migration only, remove net-new OTel features
- Remove RawGitHubCopilotAgent split and AgentTelemetryLayer inheritance
- Remove TelemetryConfig plumbing and OTLP/file telemetry settings
- Remove configure_otel_providers() calls from samples
- Remove telemetry env var rows from samples README
- Retain only: import path fixes, PermissionRequest attribute access fix,
log_level default fix, session kwargs typed fix, dependency pin
* Python: Update tests for SDK 0.2.x API changes
- SubprocessConfig replaces CopilotClientOptions dict
- create_session and resume_session now use keyword args
- send and send_and_wait take plain string prompt instead of MessageOptions
- on_permission_request is always required; deny-all fallback replaces omission
* Python: Pin github-copilot-sdk to >=0.2.0,<=0.2.0
Tighten the upper bound from <0.3.0 to <=0.2.0 to avoid pulling in 0.2.1+
which has breaking API changes relative to 0.2.0. The lower bound stays at
>=0.2.0 since this migration requires the 0.2.x import paths; 0.1.x would
fail at import time.
* Python: Pin github-copilot-sdk to >=0.2.1,<=0.2.1
---------
Co-authored-by: Evan Mattson <35585003+moonbox3@users.noreply.github.com>
* Python: Fix broken samples and add missing READMEs
- simple_context_provider: move instructions kwarg into options dict
- suspend_resume_session: use OpenAIChatCompletionClient for in-memory demo
- foundry_chat_client_with_hosted_mcp: move store kwarg into options dict
- Add README.md for context_providers and conversations sample folders
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Python: Fix additional sample issues in context_providers
- mem0_basic: send preferences query before sleep so Mem0 can learn them,
print result from new session recall
- mem0_sessions: add session for multi-turn conversation in agent-scoped
example, remove user_id from agent-scoped provider (Mem0 API stores
memories without user_id when agent_id is provided), use single message
for storing preferences
- redis_basics: print retrieved context messages instead of raw object
- redis_sessions: add missing load_dotenv() call
- redis_basics/redis_sessions: fix docstrings referencing wrong client type
- azure_redis_conversation: replace duplicate copyright with load_dotenv()
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Python: Fix broken link in declarative README
openai_responses_agent.py was renamed to openai_agent.py
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
---------
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Refactor Anthropic model option and provider clients
Rename the Anthropic client model option from model_id to model, add provider-specific Anthropic wrappers for Foundry, Bedrock, and Vertex, and expose them through the Anthropic, Foundry, Amazon, and Google namespaces. Update core option handling, docs, samples, and tests accordingly.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Fix Anthropic skills sample typing
Cast the Anthropic beta client to Any in the skills sample so the pre-commit sample pyright check no longer fails on beta skills and files endpoints that are not exposed by the current SDK stubs.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* undo sample mypy
* Retry CI after transient external failures
Retrigger PR validation after an unrelated Copilot review workflow SAML failure and a transient external tau2 git fetch failure in the Windows Python test setup.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Address review feedback on model option merging
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Address Anthropic compatibility review feedback
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* moved all to `model`
* fixes for azure ai search
* Python: standardize remaining sample env var names
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Python: fix foundry-local pyright compatibility
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* updated env vars in cicd
---------
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Fix sample bugs: incorrect API params, wrong client types, and invalid options
- typed_options.py: Fix AnthropicClient model->model_id, wrap raw strings in Message objects for get_response(), fix reasoning_effort->reasoning dict, fix budget_tokens minimum (1024), use OpenAIChatClient not FoundryChatClient, remove unused import
- client_reasoning.py: Fix deprecated model_id to model param
- client_with_hosted_mcp.py: Remove invalid store=True kwarg from Agent.run()
- code_defined_skill.py: Fix precision kwarg to use function_invocation_kwargs
- Various other samples: Fix deprecated API usage and incorrect params
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Address PR review comments
- client_with_hosted_mcp.py: Fix remaining store=True kwarg on line 68 to use options dict
- client_with_session.py: Change store=True to store=False to match in-memory persistence demo intent
- typed_options.py: Remove non-existent import and model key from docstring example
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* new sample fixes
---------
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Python: Fix broken samples for GitHub Copilot, declarative, and Responses API
- Add missing on_permission_request handler to github_copilot_basic and
github_copilot_with_session samples (required by copilot SDK)
- Increase timeout for remote MCP query in github_copilot_with_mcp sample
- Soften session isolation claim in github_copilot_with_session sample
- Fix inline_yaml sample: pass project_endpoint via client_kwargs instead
of relying on YAML connection block (AzureAIClient expects
project_endpoint, not endpoint)
- Handle raw JSON schemas in Responses client _convert_response_format
so declarative outputSchema works with the Responses API
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Improve raw JSON schema detection heuristic and add tests
- Broaden raw schema detection to handle anyOf, oneOf, allOf, $ref, $defs
keywords and JSON Schema primitive types, not just 'properties'
- Apply same raw schema handling to azure-ai _shared.py for consistency
- Add unit tests for both openai and azure-ai response_format conversion
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
---------
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* [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>
* updated automation tasks and commands, with alias for the time being
* Restore aggregate test exclusions
Preserve the legacy all-tests scope for test --all by excluding lab and devui from the default aggregate sweep, while still allowing explicit package selection. Also ignore hidden/generated test directories such as .mypy_cache during aggregate discovery.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* updated versions in pre-commit
---------
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Prepare azure-ai-projects 2.0 GA compatibility
Add allow_preview support for internal AIProjectClient creation, keep backward compatibility for renamed SDK model classes, and align Azure AI/core paths and tests for GA validation workflows.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* upgrade to ai-project==2.0.0
* Python: remove azure-ai-projects keyword-guard paths
Assume azure-ai-projects 2.0+ in Azure AI client/provider/responses code paths by removing _supports_keyword_argument gating and related fallback branching.
Also fix pyright typing in FoundryMemoryProvider memory store calls by using ResponseInputItemParam-typed items.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* check fixes
* Python: remove unsupported foundry_features option
Drop foundry_features from Azure AI client and provider surfaces because azure-ai-projects 2.0.0 does not expose that create_version parameter.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Python: add allow_preview to Foundry memory provider
Propagate allow_preview when FoundryMemoryProvider constructs an AIProjectClient and update tests accordingly.
Also finish wiring allow_preview through AzureAIClient-facing surfaces and related docs.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* aligning docstrings
* udpated lock
---------
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Update github_copilot package for github-copilot-sdk>=0.1.32 (#4549)
- Update requires-python from >=3.10 to >=3.11
- Remove Python 3.10 classifier
- Update mypy python_version to 3.11
- Update dependency to github-copilot-sdk>=0.1.32
- Fix ToolResult API: use snake_case kwargs (text_result_for_llm,
result_type) instead of camelCase (textResultForLlm, resultType)
- Update test assertions to use attribute access on ToolResult
- Add ToolResult type assertions to tool handler tests
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Fix tests to use ToolInvocation dataclass instead of plain dict (#4549)
Update test_github_copilot_agent.py to pass ToolInvocation objects to tool
handlers instead of plain dicts, matching the github-copilot-sdk>=0.1.32 API
where ToolInvocation is a dataclass with an .arguments attribute.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Add regression tests for ToolInvocation contract (#4549)
Add tests to lock in the new ToolInvocation-based calling convention:
- test_tool_handler_rejects_raw_dict_invocation: verifies passing a raw
dict (old calling convention) raises TypeError/AttributeError
- test_tool_handler_with_empty_arguments: verifies ToolInvocation with
empty arguments works correctly for no-arg tools
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Revert requires-python to >=3.10 to avoid breaking CI (#4549)
The repo CI runs with Python 3.10 (uv sync --all-packages) and all other
packages require >=3.10. Raising this package to >=3.11 would break the
shared install flow. The SDK dependency version constraint (>=0.1.32) will
enforce any Python version requirement from the SDK itself.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Fix min Python version for github_copilot package to >=3.11
github-copilot-sdk>=0.1.32 requires Python>=3.11, which conflicts
with the package's declared >=3.10 minimum, breaking uv sync.
* Bump py version for GH workflows to 3.11, exclude GHCP sdk from 3.10 items
* Fix uv command
* Fixes
* Update samples
---------
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Added shell tool
* Fixed CI error
* Add ShellTool support for OpenAI and Anthropic providers
- Add shell_tool_call, shell_tool_result, and shell_command_output content types
- Add ShellTool class and shell_tool decorator to core
- Add get_hosted_shell_tool() to OpenAI Responses client
- Handle shell_call and shell_call_output parsing in OpenAI (sync and streaming)
- Map ShellTool to Anthropic bash tool API format
- Parse bash_code_execution_tool_result as shell_tool_result in Anthropic
- Add unit tests for all new functionality
- Add sample scripts for hosted and local shell execution
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Addressed comments
* Reverted ruff change
* Fixed tests
* Addressed comments
---------
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Python: Enhance Azure AI Search citations with document URLs in Foundry V2 (Responses API)
Override _parse_response_from_openai and _parse_chunk_from_openai in
RawAzureAIClient to extract get_urls from azure_ai_search_call_output
items and enrich url_citation annotations with document-specific URLs.
- Non-streaming: first pass collects get_urls, post-processes annotations
- Streaming: captures search output state, enriches url_citation events
(also handles url_citation annotation type not handled by base class)
- Updated V2 sample to demonstrate citation URL extraction
- Added 14 unit tests covering extraction, enrichment, and edge cases
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* refactor: rework search citation enrichment to override _inner_get_response
- Remove all direct openai/pydantic imports from _client.py
- Override _inner_get_response instead of _parse_response_from_openai/_parse_chunk_from_openai
- Use closure-local state for streaming instead of instance-level _streaming_search_get_urls
- Add _build_url_citation_content helper for streaming url_citation handling
- Fix mypy errors by using str(value or '') for Annotation TypedDict fields
- Fix docstring to say 'citation' instead of 'url_citation'
- Update tests to match new approach
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* fix: handle streaming search citations from output_item.done events
The azure_ai_search_call_output item only has populated output data
(including get_urls) in the response.output_item.done event, not in
the response.output_item.added event. Also removed the search_get_urls
guard on url_citation handling so annotations are always produced even
if get_urls haven't been captured yet.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* addressed comments
* refactor: address PR review - eliminate type: ignore[assignment] pattern
Call super()._inner_get_response() independently in each branch instead
of once at the top with union type reassignment. Non-streaming uses
two-arg super() in the closure; streaming uses cast() for type narrowing.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* refactor: remove defensive patterns per PR review
- Replace all getattr() with direct attribute access
- Remove cast() for streaming branch, use type: ignore[assignment]
- Simplify _build_url_citation_content to use dict access directly
- Simplify _extract_azure_search_urls to use item.type/item.output
- Handle empty list output from streaming 'added' events
- Update tests to match actual runtime types (objects, not dicts)
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* mypy fix
* small fixes
---------
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* 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
* 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
Tao ChenandGitHub
Dmytro StrukandGitHub
