Files

Roberto Musso fe0dd038ee fix: Langfuse SDK v4 migration, tracing improvements, and LLM config

- Langfuse SDK v4: fix prompt-to-trace linking (as_type=generation)
- tracing: compile_prompt with Langfuse managed prompt fallback
- journey: remove journey CLI subcommand (keep only interactive)
- LLM: add service-specific llm modules for batch-agent and chat
- gitignore: exclude eval private test data
- config: add LANGFUSE settings to shared config

2026-03-24 16:25:51 +01:00

app

fix: Langfuse SDK v4 migration, tracing improvements, and LLM config

2026-03-24 16:25:51 +01:00

eval

refactor(eval): 3-mode eval harness (step1/step2/full) with Langfuse fixes

2026-03-24 16:18:51 +01:00

Dockerfile

feat(batch-agent): extract Batch Agent Service (Step 3)

2026-03-23 07:19:02 +01:00

README.md

docs: add Langfuse integration TODO for batch-agent service

2026-03-23 00:25:42 +01:00

requirements.txt

feat(batch-agent): integrate Langfuse tracing

2026-03-23 08:43:15 +01:00

README.md

Batch Agent Service

Owns: agent_runner, journey builder, filesystem_agent, integrations (Gmail, MS Graph).

Tables owned

local_agent_configs
cloud_agent_configs
agent_run_logs

Endpoints

GET /agents/catalog
POST /agents/can-create
POST /agents/trigger
GET /agents/{id}/history

Redis channels

Subscribe: batch:request:{user_id}
Publish: ws:out:{user_id} (journey replies + tool calls)
BRPOP: tool:result:{call_id} (30s timeout)
SET+EX: journey:{user_id} (session state, TTL 1800s)

TODO

Integrate Langfuse tracing (reuse services/chat/app/tracing.py pattern — trace_span(), get_langfuse_callback(), prompt management). Each batch agent run should create a trace with input/output, link prompts, and pass the LangChain CallbackHandler to LLM calls.