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Giles Odigwe 5e33deff45 Python: Unify tool results as Content items with rich content support (#4331 )

* feat(python): allow @tool functions to return rich content (images, audio)

Add support for tool functions to return Content objects that the model can perceive natively. Closes #4272

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Anthropic logging + mypy fix

* Address PR review: fix MCP ordering, fold helper into from_function_result, fix Chat client

- Preserve original content order in MCP tool results instead of text-first
- Move _build_function_result logic into Content.from_function_result()
- Chat Completions: inject user message for rich items (API only supports string tool content)
- Update tests for ordering and new from_function_result behavior

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Use native Responses API multi-part output, warn+omit for Chat client

- Responses client: put rich items directly in function_call_output's
  output field as list (native API support) instead of user message injection
- Chat client: warn and omit rich items (API doesn't support multi-part
  tool results), matching Ollama/Bedrock pattern
- Unify test image: use sample_image.jpg across all integration tests
- Add Azure OpenAI Responses integration test
- Assert model describes house image to verify perception

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Fix lint: remove print statement, wrap long line

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Address review feedback: bug fixes, single-pass MCP, unit tests

- Add isinstance guard in from_function_result for non-Content lists
- Fix Anthropic empty tool_content fallback to string result
- Fix Content(type='text', text=None) edge case in parse_result
- Rewrite MCP _parse_tool_result_from_mcp as single-pass (no index counters)
- Add Anthropic unit tests: data image, uri image, unsupported media, all-unsupported
- Add OpenAI Chat unit test: rich items warning and omission
- Add OpenAI Responses unit tests: function_result with/without items
- Add test_types tests: only-rich-items list, non-Content list fallback

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Fix pyright errors: add type ignore comments for Any list iteration

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Fix mypy/pyright: ensure ToolExecutionException receives str

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Fix lint: remove duplicate test_prepare_options_excludes_conversation_id

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* refactor: unify all tool results into Content items

* addressed copilot comments

* pyright fix

* small fix

* comments

* fix: address Copilot review - warnings, blob safety, dedup

- Add warning logs when rich content is dropped in Claude agent and
  MCP server handlers (matching Chat/Bedrock/Ollama pattern)
- Defensive blob URI construction: wrap plain base64 in data: prefix
- Simplify Chat client _prepare_content_for_openai to use content.result
- Simplify Responses client text-only path, remove redundant nesting
- Add test for plain base64 blob without data: prefix

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Fix token double-counting in compaction and address review comments

- Exclude items from _serialize_content() to prevent double-counting
  tokens when items mirrors result in function_result content
- Add rich content warning in GitHub Copilot agent tool handler
- Replace raw Content debug log with concise item count/type summary
- Update stale test comments about FunctionTool.invoke return type

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

---------

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

5e33deff45 · 2026-03-12 22:30:09 +00:00

History

agent_framework_anthropic

Python: Unify tool results as Content items with rich content support (#4331 )

2026-03-12 22:30:09 +00:00

tests

Python: Unify tool results as Content items with rich content support (#4331 )

2026-03-12 22:30:09 +00:00

AGENTS.md

.NET: Python: Add AGENTS.md files and update coding standards (#3644 )

2026-02-05 10:27:46 +00:00

LICENSE

Python: Introducing the Anthropic Client (#1819 )

2025-11-03 19:32:28 +00:00

pyproject.toml

Prepare RC4 release (#4631 )

2026-03-11 18:53:38 +00:00

README.md

Python: restructure: Python samples into progressive 01-05 layout (#3862 )

2026-02-12 17:36:36 +00:00

README.md

Get Started with Microsoft Agent Framework Anthropic

Please install this package via pip:

pip install agent-framework-anthropic --pre

Anthropic Integration

The Anthropic integration enables communication with the Anthropic API, allowing your Agent Framework applications to leverage Anthropic's capabilities.

Basic Usage Example

See the Anthropic agent examples which demonstrate:

Connecting to a Anthropic endpoint with an agent
Streaming and non-streaming responses