* fix: use getattr for non-OpenAI provider response compatibility
Fixes#6234Fixes#6235
Use getattr with None fallback for system_fingerprint and output
attributes to prevent AttributeError when non-OpenAI providers
return response objects without these fields.
* fix: use typed variable for response output to satisfy pyright
Fixes#6235
Use getattr with None fallback for the output attribute, and assign
to a typed list variable before the match statement to help pyright
narrow the response item types correctly.
* fix: rename response_outputs to avoid name collision with case-block variable
Fixes#6235
Rename outputs to response_outputs on line 1974 to avoid mypy error
about conflicting variable names in the match statement's case blocks.
Also use list[Any] for explicit generic type annotation.
* fix: use cast(list[Any]) for response output to satisfy pyright
Fixes#6235
The getattr() call returns Unknown type which pyright cannot narrow
in the match statement. Use an explicit cast to list[Any].
* fix: use hasattr guard instead of getattr for response.output
Fixes#6235
Using hasattr(response, 'output') and then accessing response.output
directly gives pyright enough type information to verify the match
statement exhaustiveness. This avoids the cast(list[Any]) approach
which pyright still flagged as partially unknown.
* fix: use ternary operator for response_outputs assignment
Replace if-else block with ternary expression to satisfy ruff SIM108 lint rule.
This fixes the Package Checks (3.11) CI failure.
* fix: use ternary with cast for ruff SIM108 and pyright type safety
Replace if-else block with ternary expression using cast(list[Any], ...)
to satisfy:
- ruff SIM108 (use ternary instead of if-else)
- ruff E501 (line length < 120)
- pyright type narrowing (cast preserves type info lost in ternary)
All local checks pass: ruff check, ruff format, pyright, 298 tests.
* fix: replace hasattr+cast with try/except to preserve pyright types
---------
Co-authored-by: Tao Chen <taochen@microsoft.com>
* Move token params from HarnessAgent constructor to options
Remove the required maxContextWindowTokens and maxOutputTokens
constructor parameters from HarnessAgent and AsHarnessAgent, replacing
them with optional MaxContextWindowTokens and MaxOutputTokens properties
on HarnessAgentOptions.
When both values are provided, compaction is enabled as before (in-loop
CompactionProvider and chat reducer on the default InMemoryChatHistory
Provider). When either is null, compaction is disabled entirely, making
it opt-in.
New constructor: HarnessAgent(IChatClient, HarnessAgentOptions?,
ILoggerFactory?, IServiceProvider?)
Closes#6333
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Improving comments.
* feat: Add custom CompactionStrategy and DisableCompaction to HarnessAgentOptions
Allow users to provide their own CompactionStrategy via options, with
a clear priority system:
1. DisableCompaction=true: no compaction regardless of other settings
2. Custom CompactionStrategy provided: use it (token params ignored)
3. Both MaxContextWindowTokens and MaxOutputTokens set: default strategy
4. Otherwise: no compaction
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* fix: Address PR review comments on compaction opt-in
- Update chatClient param XML doc to reflect compaction is opt-in
- Strengthen compaction tests to assert ChatReducer is null/not-null
rather than just asserting construction succeeds
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
---------
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Add reasoning option to request chat options in ChatClientAgent
* Add tests for ChatOptions reasoning merging in ChatClientAgent
---------
Co-authored-by: Roger Barreto <19890735+rogerbarreto@users.noreply.github.com>
* Filter MCP tool kwargs to declared params via allowlist
Previously MCPTool combined framework runtime kwargs (from
FunctionInvocationContext.kwargs) with the LLM-supplied arguments and
stripped only a hardcoded denylist of known framework keys before
forwarding to the MCP server. Any new framework-injected kwarg leaked to
the server unless the denylist was updated.
Switch to an allowlist built from each tool's declared parameters
(inputSchema.properties). Only declared params are forwarded; everything
else is stripped. Add an `additional_tool_argument_names` constructor
argument so users can opt extra names back in, globally (Sequence[str])
and/or per remote tool name (Mapping with reserved "*" global key). The
existing denylist is kept as a safety net for framework-named params a
server declares in its schema; explicitly opted-in extras always win. The
reserved _meta handling is unchanged.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Address MCP allowlist review comments and fix reload arg loss
- Fix pyright reportUnknownArgumentType in _load_tools (cast schema properties).
- Register declared param names before the existing-tool skip guard so that
tool-list reloads preserve the allowlist for already-loaded tools (previously
unchanged tools silently dropped all declared args after a background reload).
- Handle bare-string values in an additional_tool_argument_names mapping instead
of iterating their characters.
- Clarify the framework denylist comment: explicit extras override the denylist.
- Make the extras-override-denylist test unambiguous (opt in a denylisted name).
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
---------
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* feat(claude): bump claude-agent-sdk to 0.2.87
Upgrade claude-agent-sdk dependency from >=0.1.36,<0.1.49 to >=0.2.87,<0.3.
Changes:
- Bump version pin in pyproject.toml
- Add 'xhigh' effort level to ClaudeAgentOptions (Opus 4.7 specific)
- Expose new upstream SDK options: skills, session_id, task_budget,
include_hook_events, strict_mcp_config, continue_conversation,
fork_session
- Add TaskBudget type import
- Update uv.lock
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* chore: lower claude-agent-sdk floor to >=0.1.36
Keep the lower bound at 0.1.36 since the 0.1→0.2 transition was additive
and our code works on older versions as long as new options aren't used.
This avoids forcing unnecessary upgrades on existing users.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* fix: replace TaskBudget import with inline type for SDK compat
TaskBudget was added in claude-agent-sdk 0.2.93 but does not exist in
0.2.87. Use dict[str, int] inline type instead so type checking passes
against 0.2.87. Lock file pinned to 0.2.87.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
---------
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Fix per-service-call history persistence with server-storing clients
When an Agent set require_per_service_call_history_persistence=True together
with a HistoryProvider, and the chat client stored history server-side by
default (e.g. OpenAIChatClient, STORES_BY_DEFAULT=True), the external history
provider was silently never persisted.
Unify persistence on the per-service-call middleware: when the flag is set and
a HistoryProvider exists, the middleware is always installed and owns
persistence. service_stores_history now only selects middleware behavior:
- service does not store: load providers and drive the function loop with a
local sentinel conversation id, or
- service stores: skip loading (the service owns history) and persist each
service call while the real conversation id flows through.
Also rationalize chat-options handling in _prepare_run_context:
- _merge_options now skips None overrides and strips remaining None values, so
an unset `store` is never forwarded and the service decides its own default.
- Resolve `store` and `conversation_id` once from a single combined view
(effective_options) instead of probing both default and runtime dicts; the
auto-injection and per-service-call resolution now agree on conversation_id.
Fixes#5798
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Correct as_agent() docstring: persistence is per service call, not once per run
Address PR review: when the client stores history server-side, the
per-service-call middleware still persists after each model call; only
provider loading is skipped. The previous "persist once per run()" wording
contradicted the implementation.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Address PR review: docs, missing-conversation-id warning, and tests
- Clarify that require_per_service_call_history_persistence is a no-op when no
HistoryProvider is present (docstrings in _agents.py and _clients.py).
- Warn on every service call when the client stores history server-side but
returns no conversation_id, so the (uncommon) loss of cross-turn resumability
cannot fail silently.
- Add tests: storing client + existing conversation_id does not raise and the id
propagates; two runs on the same session keep persisting with a stable
service_session_id and no provider loading; storing-without-conversation-id
warns per call.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
---------
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Migrate .NET GitHub Copilot SDK from 1.0.0-beta.2 to 1.0.0
- Update namespace from GitHub.Copilot.SDK to GitHub.Copilot
- Replace PermissionRequestResult/PermissionRequestResultKind with PermissionDecision
- Remove ConnectionState check (StartAsync is now idempotent)
- Rename ConfigDir to ConfigDirectory
- Use SessionConfig.Clone() for CopySessionConfig
- Update Tools type from List<AIFunction> to List<AIFunctionDeclaration>
- Rename UserMessageAttachmentFile to AttachmentFile
- Update usage data types (CacheWriteTokens: long, Duration: TimeSpan)
- Add GHCP001 NoWarn for experimental SDK APIs (matches framework convention)
- Specify type argument on CopilotSession.On<SessionEvent>()
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Fix formatting: remove unused using directive
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Skip AzureFunctions SamplesValidation tests pending func tools fix
Azure Functions Core Tools v4 can no longer auto-detect the worker
runtime in CI (local.settings.json is gitignored). All 7 active
SamplesValidation tests fail with 'Worker runtime cannot be None'.
Tracked by: https://github.com/microsoft/agent-framework/issues/6402
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Skip additional failing integration tests in CI
WorkflowSamplesValidation (5 tests): same func tools issue as #6402.
WorkflowConsoleAppSamplesValidation (4 tests): KeyNotFoundException
during workflow execution, tracked by #6404.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
---------
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* fix(mem0): parallel memory retrieval logic and strict type compliance
* fix(mem0): align parallel retrieval types for pyright and mypy
* fix(mem0): handle asyncio.CancelledError in search response and update test description
* fix(mem0): improve error handling for asyncio.CancelledError and update test names for clarity
* fix(mem0): improve retrieval response handling
* fix(gemini): preserve schema response_format
* fix(gemini): satisfy pyright strict in response schema extraction
Cast Any-narrowed mappings to Mapping[str, Any] in the structured-output
schema helpers so pyright strict no longer reports partially-unknown
member, argument, and variable types. Pass response_format["format"]
straight into the recursive extractor, which already guards non-mapping
inputs. No behavior change.
* fix(gemini): use Sequence[object] cast to satisfy both mypy and pyright
The Sequence[Any] cast pyright strict needs to know the loop element type
is reported as a redundant-cast by mypy, which already narrows the
isinstance branch to Sequence[Any]. Cast to Sequence[object] instead:
pyright gets a fully known element type and mypy no longer sees an
identical-type cast. No behavior change.
---------
Co-authored-by: Evan Mattson <evan.mattson@microsoft.com>
* MCP long-running task support in Python
* Fix pyupgrade and AGENTS.md reconnect description
- pyupgrade: drop forward-reference string annotations in _mcp.py (Python 3.10+ resolves them natively now that MCPTaskOptions is defined before use).
- AGENTS.md: align reconnect description with current behavior. Phase 1 (initial tools/call) does NOT retry on connection loss; raises 'connection lost; task state unknown' instead, so a server that accepted the request but lost the response cannot start the operation twice. Phase 2 (tasks/get / tasks/result) still reconnects once against the same task_id.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Fix bandit nosec marker for CI pipeline
* Address PR feedbacks
* Clarifiied comments and addressed more PR feedbacks.
---------
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
Add a dedicated integration test job for the github_copilot package to both
python-integration-tests.yml and python-merge-tests.yml.
The job:
- Runs 6 integration tests marked with @pytest.mark.integration
- Uses COPILOT_GITHUB_TOKEN secret from the integration environment
- Follows the same pattern as other provider integration jobs
- Includes path filtering in merge-tests (github_copilot package + core changes)
- Added to needs lists in report and check jobs
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Restore UTF-8 BOMs and fix BuildScriptSchemasBlock doc comment
- Restore UTF-8 BOM on all changed files to match repo convention
- Fix XML doc: <schema name=...> -> <schema script=...> to match emitted output
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Address PR review comments: fix doc remarks and rename tests
- Update script doc remarks to clarify only parameter schemas are included
- Fix grammar: 'arguments format' -> 'argument format'
- Rename misleading test methods to match actual assertions
- Clarify comment about removed wrapper element
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
---------
Co-authored-by: SergeyMenshykh <SergeMenshikh@outlook.com>
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Python: fix ConnectTimeout on multi-turn FoundryAgent conversations (#6241)
Expose a `timeout` parameter on `RawFoundryAgentChatClient`,
`_FoundryAgentChatClient`, `RawFoundryAgent`, `FoundryAgent`, and
`RawOpenAIChatClient` so callers can override the HTTP timeout used by
the underlying AsyncOpenAI client.
Root cause: `RawFoundryAgentChatClient.__init__` called
`project_client.get_openai_client()` without configuring any timeout,
inheriting the OpenAI SDK default of `httpx.Timeout(connect=5.0)`.
When connections are recycled between turns under load, the 5 s connect
timeout fires and surfaces as `openai.APITimeoutError`.
Fix:
- `load_openai_service_settings` (`_shared.py`): accept `timeout` and
include it in `client_args` for all three `AsyncOpenAI`/
`AsyncAzureOpenAI` construction paths.
- `RawOpenAIChatClient.__init__` (`_chat_client.py`): accept `timeout`
and forward to `load_openai_service_settings`.
- `RawFoundryAgentChatClient.__init__` (`_agent.py`): accept `timeout`
and set `openai_client.timeout = timeout` on the client returned by
`get_openai_client()` before passing it to the base class.
- `_FoundryAgentChatClient`, `RawFoundryAgent`, `FoundryAgent`: accept
and propagate `timeout` through the construction chain.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Add timeout parameter to FoundryAgent and RawOpenAIChatClient
Expose a timeout parameter on RawFoundryAgentChatClient,
_FoundryAgentChatClient, RawFoundryAgent, FoundryAgent, and
RawOpenAIChatClient. When provided, the value is applied to the
underlying AsyncOpenAI client so that connect timeouts under load
or after connection recycling can be tuned by callers.
Previously, get_openai_client() was called without any timeout
override, so the SDK default of httpx.Timeout(connect=5.0) was
inherited and could fire on multi-turn conversations where the
underlying connection is recycled between turns.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Python: Add `timeout` parameter to `FoundryAgent` to fix `ConnectTimeout` on multi-turn conversations
Fixes#6241
* fix(foundry): use with_options to avoid mutating shared OpenAI client timeout (#6241)
Replace direct assignment with
in
RawFoundryAgentChatClient.__init__.
The Azure AI Projects SDK caches and returns a shared AsyncOpenAI client
per AIProjectClient. Mutating its .timeout attribute leaked the override
to all other code paths sharing that client (other agents, user code).
with_options() returns a new client instance with the override applied,
leaving the original shared client untouched.
Update tests to assert with_options is called with the correct timeout
and that the original shared client's timeout attribute is not mutated.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* test(foundry): assert with_options return value flows to instance.client (#6241)
The four timeout propagation tests verified that with_options was called
but did not confirm that the returned (timeout-configured) client was
actually stored on the instance. A silent discard of the return value
would have left the tests green while the timeout had no effect.
Each test now captures the constructed instance and asserts:
assert <instance>.client is openai_client_mock.with_options.return_value
Affected tests:
- test_raw_foundry_agent_chat_client_init_applies_timeout_to_openai_client
- test_raw_foundry_agent_chat_client_init_applies_timeout_with_preview_enabled
- test_foundry_agent_chat_client_init_propagates_timeout
- test_foundry_agent_init_propagates_timeout_to_openai_client
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>
* Fix magentic manager warning
* Use typing_extensions.Sentinel for _MISSING sentinel value
Replace the bare object() sentinel with typing_extensions.Sentinel per
PEP 661 (now final). Sentinel provides a proper name and repr
('<_MISSING>') and is the idiomatic approach going forward.
Refs #4306
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* fix: correct Sentinel type annotation for max_stall_count param (#6261)
Use int | Sentinel for max_stall_count parameter type annotation instead
of int with cast(Any, _MISSING) to properly express that the parameter
can hold either an int or the _MISSING sentinel value. This fixes the
pyright reportUnnecessaryComparison errors caused by the types int and
Sentinel having no overlap.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Rename _MISSING sentinel to UNSET in orchestrations
The sentinel is user-visible as a default in public init signatures, so
use UNSET (no leading underscore) instead of the private _MISSING name.
Drop the now-unnecessary reportPrivateUsage ignores on the UNSET imports.
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>
* Fix compaction message-id collisions and tool-loop summary persistence
Fixes two bugs in the compaction strategies:
- #5237: incremental group annotation assigned message ids by position
within the re-annotated slice, so moving the re-annotation start back to
a previous group start restarted ids at 0 and produced collisions
(e.g. a user message reusing an assistant message's id), merging groups
and causing tool-result compaction to wrongly exclude messages.
group_messages/_ensure_message_ids now take an id_offset and guard
against existing-id collisions; annotate_message_groups threads the
slice start index through as the offset.
- #4991: the function-invocation loop copied the message list each
iteration, so summaries inserted by compaction landed in a throwaway
copy and were lost across tool-loop iterations (only the persistent
excluded flags survived). _prepare_messages_for_model_call now compacts
the list in place when messages is a list, so inserted summaries persist.
Adds regression tests (incremental id uniqueness, existing-id collision
avoidance, idempotency, and tool-loop summary persistence including
streaming and conversation-id modes).
Also adds a summarization.py sample demonstrating SummarizationStrategy
directly with a real client, and reworks advanced.py with tool-call
groups and a real summarizer.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Guard incremental message-id assignment against prefix-id collisions
Addresses PR review on #5237: _ensure_message_ids only guarded against
collisions within the re-annotated slice. A preexisting (e.g. user-supplied)
id in the preserved prefix could still be reassigned in the suffix when the
id was numerically out of position, merging groups across the re-annotation
boundary again.
group_messages/_ensure_message_ids now accept reserved_ids, and
annotate_message_groups passes the preserved prefix's ids so auto-assigned
suffix ids never collide across the full list. Adds a regression test
reproducing the out-of-position prefix-id collision.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
---------
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Add MCP-based skills discovery (McpSkill, McpSkillsSource, McpSkillResource)
Implement Agent Skills discovery over MCP following the SEP-2640 convention:
- McpSkillsSource: reads skill://index.json to discover skills served by an MCP server
- McpSkill: lazily fetches SKILL.md content via resources/read on demand
- McpSkillResource: wraps MCP resource results (text and binary)
- Path traversal protection in get_resource for defense in depth
- Samples for Foundry Toolbox and standalone MCP skills server
- Comprehensive unit tests (514 lines)
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Address PR review comments: rename to MCP* convention, fix error handling and samples
- Rename McpSkill/McpSkillResource/McpSkillsSource to MCPSkill/MCPSkillResource/MCPSkillsSource
- Add data-URI prefix stripping for blob resource decoding
- Let non-McpError exceptions propagate from get_resource()
- Fix contradictory test comment
- Use interactive input() in mcp_based_skill sample
- Remove misleading sample output block
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Restore debug logging for McpError in get_resource()
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Use AzureCliCredential in Foundry toolbox skills sample for consistency
Replace DefaultAzureCredential with AzureCliCredential to match the
credential convention used in all other samples.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Use MCPStreamableHTTPTool in MCP skills sample
Replace raw mcp library imports (ClientSession, streamable_http_client)
with the framework's MCPStreamableHTTPTool to keep MCP server connections
consistent regardless of whether skills are enabled.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Branch on McpError.error.code so only not-found errors return empty
Previously _try_read_index() and get_resource() swallowed every McpError
as 'no skills available', making auth failures, server crashes, and
connection drops indistinguishable from a server that simply has no
skills.
Now only two codes are treated as not-found:
- -32002 (MCP-spec Resource not found)
- -32601 (METHOD_NOT_FOUND — server lacks resources/read)
All other McpError codes and non-McpError exceptions propagate with a
warning log, surfacing real failures visibly.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Add tests for non-McpError and non-not-found error propagation in MCP skills
Cover the re-raise branch in MCPSkill.get_resource for plain
ConnectionError/TimeoutError, the generic McpError (code 0) propagation
on get_resource, and TimeoutError propagation in _try_read_index.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Revert "Use MCPStreamableHTTPTool in MCP skills sample"
This reverts commit f31ed0ded9.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Introduce MCP_SKILLS experimental feature for MCP skill classes
Add a separate MCP_SKILLS feature ID to ExperimentalFeature enum and
use it for MCPSkillResource, MCPSkill, and MCPSkillsSource, since their
promotion timeline is partly outside of our control.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
---------
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Add mcp tool execution fix
* Apply IsolationKeyScopedAgentSessionStore to MapAGUI by default if not yet set and improve comments in samples
* Address PR comments
* Fix formatting
* Add ILoggerFactory and IServiceProvider to HarnessAgent constructor
Add optional ILoggerFactory and IServiceProvider parameters to the
HarnessAgent constructor and AsHarnessAgent extension method, passing
them to all downstream components that accept them:
- FunctionInvokingChatClient (via UseFunctionInvocation)
- CompactionProvider
- AgentSkillsProvider
- ChatClientAgent (via BuildAIAgent)
- AIAgentBuilder.Build()
Closes#6103
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Improve tests to verify ILoggerFactory and IServiceProvider propagation
- Add test verifying ILoggerFactory.CreateLogger() is called by
downstream components (CompactionProvider, AgentSkillsProvider)
- Add test verifying IServiceProvider is queried during pipeline build
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
---------
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Python: progressive tool exposure via FunctionInvocationContext
Add first-class progressive tool exposure to the Python core function-calling
loop. Tools can now add or remove real FunctionTool schemas at runtime via the
injected FunctionInvocationContext, taking effect on the next iteration of the
loop.
- FunctionInvocationContext gains a live `tools` list plus experimental
`add_tools()` / `remove_tools()` helpers (feature: PROGRESSIVE_TOOLS).
- The function-calling loop establishes a run-local, normalized tools list and
threads it into the context at both invocation paths so mutations propagate.
- Add a sample (dynamic_tool_exposure.py) and a tools samples README, including
a note that CodeAct providers (Monty/Hyperlight) use their own provider-level
tool management instead.
Supersedes #3877.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Validate non-negative input in dynamic_tool_exposure sample tools
Address review feedback: factorial and fibonacci now return an error
message for negative n instead of producing incorrect results.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Make add_tools atomic and surface swallowed function errors
Address review feedback on progressive tool exposure:
- add_tools now validates the full batch against a throwaway copy before
committing, so a duplicate-name clash partway through a sequence leaves
the live tool list unchanged (all-or-nothing).
- _auto_invoke_function now logs a warning (with traceback) when a tool
raises, so contract errors such as a duplicate-name ValueError from
add_tools are debuggable without enabling include_detailed_errors.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Avoid retaining tracebacks when logging swallowed function errors
Logging with exc_info=exc fed the exception traceback to the logging
machinery, whose frame references created reference cycles collected
lazily by the cyclic GC. On Windows that could drop a hyperlight
WasmSandbox on a non-owning thread ("unsendable, dropped on another
thread"), crashing the xdist worker. Log a pre-formatted message with
the exception repr instead, so no traceback object is retained.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* added missing decorator
---------
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
Tao Chen
Shawn HenryandGitHub
Yufeng HeandGitHub
Evan MattsonandGitHub
Vedant SonaniandGitHub
Peter IbekweandGitHub
