- Merge llm.py + llm_sync.py into single unified client
- Remove llm_sync.py (now just llm.py with both sync/async)
- Add requests to dependencies
- Add Dockerfile for containerized deployment
- Add .dockerignore
All issues resolved!
- Add CritiqueCrew initialization in OpusGraph.__init__
- Add use_autogen flag to enable/disable
- Add critique_summary and critique_iterations to state
- Rewrite node_write_chapters with AutoGen critique loop
- Each chapter now gets multi-agent critique (LiteraryCritic, GenreExpert, StoryEditor)
- Iteration loop until approved or max iterations
- Full integration complete
Based on Gemini's analysis:
1. Nodes now return dicts instead of mutating state
2. run() uses stream_mode='values'
3. Falls back to get_state() from checkpointer
4. Uses model_copy() for Pydantic updates
Full pipeline runs end-to-end:
- All 7 pre-writing stages (seed → scene descriptions)
- Style guide generation
- Chapter writing (3 chapters, 2,833 words tested)
Fixed result extraction from graph.stream().
- Proper StateGraph with compiled nodes
- Conditional edges for writing iteration
- Checkpoint memory for resumability
- Structured state with Pydantic
- Node_validate for cross-stage validation
- Writing loop with iterate/next logic
- Full end-to-end workflow
This is the rigorous LangGraph integration.
mrhavens