Commit Graph

6 Commits

  • Python: [BREAKING] Add sampling guardrails to MCP tools (#6413)
    * Add sampling guardrails to MCP tools
    
    Add approval, token, and request-count controls to the MCP sampling
    callback used when an MCPTool is configured with a chat client.
    
    - Add `sampling_approval_callback`, `sampling_max_tokens`, and
      `sampling_max_requests` parameters to `MCPTool` and its
      `MCPStdioTool`, `MCPStreamableHTTPTool`, and `MCPWebsocketTool`
      subclasses, positioned directly after `client`.
    - Gate each server-initiated `sampling/createMessage` request behind the
      approval callback, which denies by default when no callback is provided.
    - Clamp the requested `maxTokens` to `sampling_max_tokens` and enforce a
      per-session request count via `sampling_max_requests`.
    - Log incoming sampling requests at WARNING level (counts only).
    - Export `SamplingApprovalCallback` from the public API.
    - Add tests, a sample, and documentation updates.
    
    Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
    
    * Make sampling denial message context-aware
    
    Distinguish the deny-by-default case (no approval callback configured)
    from an explicit denial by a configured `sampling_approval_callback`, so
    the returned ErrorData message is accurate for callback-driven denials
    and exceptions.
    
    Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
    
    ---------
    
    Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  • Python: MCP long-running task support in Python (#6319)
    * 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>
  • Python: [BREAKING] Python: move Azure AI embeddings to Foundry (#5056)
    * renamed AzureAIINferenceEmbeddings and lazy load azure-cosmos and env var rename
    
    * updated coverage
    
    * fix readme
  • Python: Add header_provider to Streamable HTTP MCP servers (#4849)
    * Python: Add header_provider to MCPStreamableHTTPTool (#4808)
    
    Add a header_provider callback parameter to MCPStreamableHTTPTool that
    enables injecting dynamic per-request HTTP headers from runtime kwargs
    (originating from FunctionInvocationContext.kwargs set in agent middleware).
    
    The implementation uses contextvars and httpx event hooks to ensure headers
    are task-local and safe for concurrent tool calls:
    
    - header_provider receives the runtime kwargs dict and returns headers
    - call_tool sets a ContextVar before delegating to MCPTool.call_tool
    - An httpx request event hook reads from the ContextVar and injects headers
    
    Example usage:
        mcp_tool = MCPStreamableHTTPTool(
            name="web-api",
            url="https://api.example.com/mcp",
            header_provider=lambda kwargs: {
                "X-Auth-Token": kwargs.get("auth_token", ""),
            },
        )
    
    Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
    
    * Address review feedback for #4808: Python: [Bug]: Unable to pass AgentContext to MCPStreamableHTTPTool
    
    * Add test for header_provider via FunctionTool.invoke with FunctionInvocationContext
    
    Addresses PR review comment: exercises the full pipeline from
    FunctionInvocationContext.kwargs through FunctionTool.invoke to
    MCPStreamableHTTPTool.call_tool and header_provider, rather than
    testing call_tool in isolation.
    
    Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
    
    * Address review feedback for #4808: review comment fixes
    
    * Fix streamable MCP transport defaults
    
    Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
    
    * Fix Azure AI test client mocks
    
    Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
    
    * Fix MCP runtime kwarg regressions
    
    Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
    
    * Stabilize MCP tool runtime kwargs
    
    Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
    
    * Use context kwargs in MCP wrappers
    
    Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
    
    * updated mcp samples
    
    * fix link
    
    ---------
    
    Co-authored-by: Copilot <copilot@github.com>
    Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  • [BREAKING] Python: fix OpenAI Azure routing and provider samples (#4925)
    * Python: fix OpenAI Azure routing and provider samples
    
    Prefer OpenAI when OPENAI_API_KEY is present unless Azure is explicitly requested. Clarify constructor docs, keep deprecated Azure wrappers compatible with stricter settings validation, and refresh the provider samples and tests to use the current client patterns.
    
    Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
    
    * fix bandit
    
    * Python: align OpenAI embedding Azure routing
    
    Extend the shared OpenAI-vs-Azure routing and credential behavior to the embedding client, add Azure embedding regression coverage, and refresh the embedding samples to use the generic client path.
    
    Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
    
    * Python: fix embedding client pyright check
    
    Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
    
    * Python: thin OpenAI embedding wrapper
    
    Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
    
    * Python: document embedding overload routing
    
    Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
    
    * Python: fix callable OpenAI key routing
    
    Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
    
    * Python: fix Azure credential routing tests
    
    Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
    
    * Python: address OpenAI review feedback
    
    Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
    
    * Python: narrow Azure routing markers
    
    Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
    
    * Python: refine OpenAI model fallback order
    
    Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
    
    * Python: narrow Azure deployment docs
    
    Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
    
    * Python: remove embedding routing wording
    
    Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
    
    * Python: run embedding Azure integration tests
    
    Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
    
    * changed variable name
    
    * Python: expand OpenAI package README
    
    Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
    
    * clarified readme
    
    * Python: fix Azure OpenAI integration setup
    
    Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
    
    * Python: correct Azure integration env mapping
    
    Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
    
    * updated code to fix int tests
    
    * test updates
    
    * test fix
    
    * fix test setup
    
    * updates to tests and setup
    
    * remove openai assistants int tests
    
    * improvements in int tests
    
    * fix env var
    
    * fix env vars
    
    * fix azure responses test
    
    * trigger actions
    
    ---------
    
    Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  • Python: restructure: Python samples into progressive 01-05 layout (#3862)
    * restructure: Python samples into progressive 01-05 layout
    
    - 01-get-started/: 6 numbered steps (hello agent → hosting)
    - 02-agents/: all agent concept samples (tools, middleware, providers, etc.)
    - 03-workflows/: ALL existing workflow samples preserved as-is
    - 04-hosting/: azure-functions, durabletask, a2a
    - 05-end-to-end/: demos, evaluation, hosted agents
    - Old files moved to _to_delete/ for review
    - Added AGENTS.md with structure documentation
    - autogen-migration/ and semantic-kernel-migration/ preserved at root
    
    * fix: switch to AzureOpenAI Foundry, fix CI failures
    
    - Switch all 01-get-started samples to AzureOpenAIResponsesClient with
      Azure AI Foundry project endpoint (AZURE_AI_PROJECT_ENDPOINT +
      AZURE_OPENAI_RESPONSES_DEPLOYMENT_NAME + AzureCliCredential)
    - Add _to_delete/ and 05-end-to-end/ to pyrightconfig.samples.json excludes
    - Fix test paths in packages/ that referenced old getting_started/ dirs:
      durabletask conftest + streaming test, azurefunctions conftest,
      devui conftest + capture_messages + openai_sdk_integration
    - Fix workflow_as_agent_human_in_the_loop.py import (sibling import)
    - Update hosting READMEs and tool comment paths
    - Replace root README.md with new structure overview
    - Update AGENTS.md to document Azure OpenAI Foundry as default provider
    
    * cleanup: remove _to_delete folder, copy resource files to active dirs
    
    All files in _to_delete/ were either:
    - Exact duplicates of files in the new structure (240 files)
    - Same file with only comment path updates (100 files)
    - One import-fix diff (workflow_as_agent_human_in_the_loop.py)
    - One superseded minimal_sample.py
    
    Resource files (sample.pdf, countries.json, employees.pdf, weather.json)
    copied to 02-agents/sample_assets/ and 02-agents/resources/ since active
    samples reference them.
    
    * fix: address PR review comments, centralize resources, remove root duplicates
    
    - Fix type annotation in 04_memory.py (string union -> proper types)
    - Fix old sample paths in observability files
    - Fix grammar/spelling in observability samples
    - Move sample_assets/ and resources/ to shared/ folder
    - Remove 8 duplicate observability files from 02-agents root
    - Update resource path references in multimodal_input and provider samples
    
    * fix: update broken links from old getting_started paths to new structure
    
    - Update relative paths in READMEs: getting_started/ → 01-get-started/,
      02-agents/, 03-workflows/, 04-hosting/, 05-end-to-end/
    - Fix absolute GitHub URLs in package READMEs
    - Fix broken link in ollama package README
    
    * fix: convert absolute GitHub URLs to relative paths for link checker
    
    Absolute URLs to python/samples/ on main branch 404 until PR merges.
    Converted to relative paths that linkspector can verify locally.
    
    * fix: update link for handoff sample moved to orchestrations/
    
    * fix: update chatkit-integration README path from demos/ to 05-end-to-end/
    
    * fix: update broken links in orchestrations README to match flat directory structure