feat(ai): add claude code agents sdk integration #5316
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Semver Impact of This PR🟡 Minor (new features) 📋 Changelog PreviewThis is how your changes will appear in the changelog. New Features ✨Span Streaming
Other
Bug Fixes 🐛Google Genai
Span Streaming
Other
Internal Changes 🔧Fastmcp
Mcp
Other
🤖 This preview updates automatically when you update the PR. |
Contributor
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Excited about this!
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| chat_span = get_start_span_function()( | ||
| op=OP.GEN_AI_CHAT, | ||
| name=f"claude-agent-sdk query {model}".strip(), | ||
| origin=ClaudeAgentSDKIntegration.origin, | ||
| ) | ||
| chat_span.__enter__() | ||
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| with capture_internal_exceptions(): | ||
| _set_span_input_data(chat_span, prompt, options, integration) | ||
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| collected_messages = [] | ||
| try: | ||
| async for message in original_func( | ||
| prompt=prompt, options=options, **kwargs | ||
| ): | ||
| collected_messages.append(message) | ||
| yield message | ||
| except Exception as exc: | ||
| _capture_exception(exc) | ||
| raise | ||
| finally: | ||
| with capture_internal_exceptions(): | ||
| _set_span_output_data(chat_span, collected_messages, integration) | ||
| chat_span.__exit__(None, None, None) | ||
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| with capture_internal_exceptions(): | ||
| _process_tool_executions(collected_messages, integration) | ||
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| with capture_internal_exceptions(): | ||
| _end_invoke_agent_span(invoke_span, collected_messages, integration) |
Contributor
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does your agent know how to use a context manager 😄
Suggested change
| chat_span = get_start_span_function()( | |
| op=OP.GEN_AI_CHAT, | |
| name=f"claude-agent-sdk query {model}".strip(), | |
| origin=ClaudeAgentSDKIntegration.origin, | |
| ) | |
| chat_span.__enter__() | |
| with capture_internal_exceptions(): | |
| _set_span_input_data(chat_span, prompt, options, integration) | |
| collected_messages = [] | |
| try: | |
| async for message in original_func( | |
| prompt=prompt, options=options, **kwargs | |
| ): | |
| collected_messages.append(message) | |
| yield message | |
| except Exception as exc: | |
| _capture_exception(exc) | |
| raise | |
| finally: | |
| with capture_internal_exceptions(): | |
| _set_span_output_data(chat_span, collected_messages, integration) | |
| chat_span.__exit__(None, None, None) | |
| with capture_internal_exceptions(): | |
| _process_tool_executions(collected_messages, integration) | |
| with capture_internal_exceptions(): | |
| _end_invoke_agent_span(invoke_span, collected_messages, integration) | |
| chat_span = get_start_span_function()( | |
| op=OP.GEN_AI_CHAT, | |
| name=f"claude-agent-sdk query {model}".strip(), | |
| origin=ClaudeAgentSDKIntegration.origin, | |
| ) | |
| with chat_span() as span: | |
| with capture_internal_exceptions(): | |
| _set_span_input_data(span, prompt, options, integration) | |
| collected_messages = [] | |
| try: | |
| async for message in original_func( | |
| prompt=prompt, options=options, **kwargs | |
| ): | |
| collected_messages.append(message) | |
| yield message | |
| except Exception as exc: | |
| _capture_exception(exc) | |
| raise | |
| finally: | |
| with capture_internal_exceptions(): | |
| _set_span_output_data(span, collected_messages, integration) | |
| with capture_internal_exceptions(): | |
| _process_tool_executions(collected_messages, integration) | |
| with capture_internal_exceptions(): | |
| _end_invoke_agent_span(invoke_span, collected_messages, integration) |
| model = getattr(options, "model", "") if options else "" | ||
| invoke_span = _start_invoke_agent_span(prompt, options, integration) | ||
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| chat_span = get_start_span_function()( |
Contributor
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There's an invoke_agent span active here, why not just always start a span?
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| messages = self._sentry_query_context.get("messages", []) | ||
| with capture_internal_exceptions(): | ||
| _set_span_output_data(chat_span, messages, integration) | ||
| chat_span.__exit__(None, None, None) | ||
| with capture_internal_exceptions(): | ||
| _end_invoke_agent_span(invoke_span, messages, integration) | ||
| self._sentry_query_context = {} |
Contributor
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Exiting spans has caused many uncaught exceptions already 😄
Suggested change
| messages = self._sentry_query_context.get("messages", []) | |
| with capture_internal_exceptions(): | |
| _set_span_output_data(chat_span, messages, integration) | |
| chat_span.__exit__(None, None, None) | |
| with capture_internal_exceptions(): | |
| _end_invoke_agent_span(invoke_span, messages, integration) | |
| self._sentry_query_context = {} | |
| messages = self._sentry_query_context.get("messages", []) | |
| with capture_internal_exceptions(): | |
| _set_span_output_data(chat_span, messages, integration) | |
| chat_span.__exit__(None, None, None) | |
| _end_invoke_agent_span(invoke_span, messages, integration) | |
| self._sentry_query_context = {} |
| tool_uses = {} | ||
| tool_results = {} | ||
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| for message in messages: |
Contributor
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narrower than Anthropic message types, so this looks suspicious.
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| def _extract_message_data(messages: list) -> dict: | ||
| """Extract relevant data from a list of messages.""" | ||
| data = { |
Contributor
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use a class type instead of a dictionary for passing info between functions, stronger typing.
| ) | ||
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| if _should_include_prompts(integration): | ||
| messages = [] |
Contributor
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system prompts go in their own attribute.
| async for message in original_func( | ||
| prompt=prompt, options=options, **kwargs | ||
| ): | ||
| collected_messages.append(message) |
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your collecting user-held references here, leading to possible race conditions.
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| def test_extract_text_returns_none_for_non_assistant(): | ||
| result = make_result_message(usage=None) | ||
| assert _extract_text_from_message(result) is None | ||
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Contributor
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We don't need all these unit tests, more work in the long run.
Instead, call the userspace API, and parameterize on as many input schemas as possible to achieve good test coverage.
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Add instrumentation for the claude-agent-sdk package, which provides
a Python interface to interact with Claude Code CLI.
The integration captures:
Instrumented methods:
Closes TET-1743
Co-Authored-By: Claude Sonnet 4.5 [email protected]