rayhpeng 41745f1f2b feat(events): replace llm_start/llm_end with llm_request/llm_response in OpenAI format ...

Add on_chat_model_start to capture structured prompt messages as llm_request events.
Replace llm_end trace events with llm_response using OpenAI Chat Completions format.
Track llm_call_index to pair request/response events.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

2026-04-04 09:37:34 +08:00

..

events

fix(events): use metadata flag instead of heuristic for dict content detection

2026-04-04 08:56:13 +08:00

runs

feat(events): human_message content uses OpenAI user message format

2026-04-04 09:07:34 +08:00

store

feat(gateway): implement LangGraph Platform API in Gateway, replace langgraph-cli (#1403)

2026-03-30 16:02:23 +08:00

stream_bridge

feat(gateway): implement LangGraph Platform API in Gateway, replace langgraph-cli (#1403)

2026-03-30 16:02:23 +08:00

__init__.py

feat(gateway): implement LangGraph Platform API in Gateway, replace langgraph-cli (#1403)

2026-03-30 16:02:23 +08:00

converters.py

fix(converters): handle empty list content as null, clean up test

2026-04-04 09:04:37 +08:00

journal.py

feat(events): replace llm_start/llm_end with llm_request/llm_response in OpenAI format

2026-04-04 09:37:34 +08:00

serialization.py

feat(gateway): implement LangGraph Platform API in Gateway, replace langgraph-cli (#1403)

2026-03-30 16:02:23 +08:00