RP-22: operationalize with FastAPI entry point and LLM fallback#17
Merged
Merged
Conversation
…LM fallback - Add main.py with lifespan (creates OpenAILLMProvider, InvestigationPipeline) - Add health and investigate routers (GET /health, POST /investigate/run) - Add generate_structured fallback: try response_format first, retry with prompt-based JSON instruction when model doesn't support structured output - Add _extract_json to strip think tags, markdown fences, and leading text - Add scripts/simulate_incident.py for end-to-end testing - Update Dockerfile with EXPOSE 8002 and uvicorn CMD - Add env_file and extra=ignore to OpenAI and investigation configs - Update .env with OPENAI_BASE_URL and infrastructure credentials
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
1 participant
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
feat(ai-investigation): operationalize with FastAPI entry point and LLM fallback