fix: pydantic-ai stream LLM tokens as UiPathConversationMessageEvent#206
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cristipufu merged 2 commits intomainfrom Mar 2, 2026
Merged
fix: pydantic-ai stream LLM tokens as UiPathConversationMessageEvent#206cristipufu merged 2 commits intomainfrom
cristipufu merged 2 commits intomainfrom
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Replace raw dict payloads with proper UiPathConversationMessageEvent objects following the START -> CHUNK(s) -> END lifecycle. Use node.stream() + stream_text(delta=True) for real-time token streaming to the Chat UI. - Stream individual LLM tokens via pydantic-ai's ModelRequestNode.stream() - Emit proper message lifecycle events (start, content chunks, end) - Add strong typing for node parameters (ModelRequestNode, CallToolsNode) - Simplify message schema (remove unused toolCalls/interrupts/citations) - Add 6 e2e streaming tests with mocked LLM - Bump version to 0.0.3 Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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- Use Agent.is_call_tools_node() / Agent.is_model_request_node() for type narrowing instead of private module imports - Remove all imports from pydantic_ai._agent_graph - Compare phase against UiPathRuntimeStatePhase.STARTED enum directly - Run ruff format on all files Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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Summary
ModelRequestNode.stream()+stream_text(delta=True)instead of waiting for the full model responseUiPathConversationMessageEventpayloads (START → CHUNK(s) → END lifecycle) — fixes'dict' object has no attribute 'message_id'error in conversational modeModelRequestNode,CallToolsNode,ModelResponse) replacingAnytoolCalls/interrupts/citationsfields)Test plan
message_idattributecontent_part_idis consistent across events🤖 Generated with Claude Code