5 Commits

Author	SHA1	Message	Date
Roberto Musso	d856dfd28c	refactor: deduplicate shared code into shared/ module ... Move duplicated files from chat + batch-agent into shared/: - shared/ws_context.py — Redis-based tool call round-trip - shared/llm.py — LiteLLM factory (get_llm, embed) - shared/agents/ — 4 domain agents (task, note, project, timeline) Update all service imports to use shared.* instead of app.*. Delete 12 duplicated files across both services.	2026-03-23 23:01:45 +01:00
Roberto Musso	ccba54ac24	fix(tracing): use Langfuse compile_prompt with {{variable}} syntax ... - tracing.py: add compile_prompt() that uses Langfuse .compile(**vars) for {{variable}} substitution, falls back to Python .format() for hardcoded {variable} templates - agent_runner.py: replace _get_system_prompt().format() with tracing.compile_prompt() for batch_file_classifier, batch_processing, batch_cloud_processing prompts - journey.py: replace get_prompt + .format() with compile_prompt() for journey_system prompt - chat tracing.py: add compile_prompt() for parity (chat prompts currently have no variables, but ready for future use) - Remove unused _get_system_prompt helper	2026-03-23 22:39:27 +01:00
Roberto Musso	55500cc818	feat(batch-agent): add Langfuse prompt management ... - _get_system_prompt helper: fetches managed prompts from Langfuse with hardcoded fallback (same pattern as chat service) - journey.py: journey_system prompt manageable via Langfuse - agent_runner.py: batch_file_classifier, batch_processing, batch_cloud_processing prompts all manageable via Langfuse - redis_consumer.py: link_prompt_to_trace for all three handlers	2026-03-23 22:30:36 +01:00
Roberto Musso	971f1dd84f	feat(batch-agent): integrate Langfuse tracing ... - tracing.py: init/shutdown, trace_span, get_langfuse_callback, prompt mgmt - main.py: init_langfuse at startup, shutdown on teardown - redis_consumer.py: trace_span around journey_start/message/agent_trigger - agent_runner.py: thread langfuse_handler through classify + processing LLM - journey.py: thread langfuse_handler through _call_llm_with_tools - llm.py: accept callbacks param, forward to LLM constructors - requirements.txt: add langfuse>=3.0.0	2026-03-23 08:43:15 +01:00
Roberto Musso	333bba6fdd	feat(batch-agent): extract Batch Agent Service (Step 3) ... - agent_runner: local directory + cloud agent orchestration via Redis - 5 domain agents: filesystem, task, note, project, timeline - integrations: Gmail, MS Graph (Outlook + Teams) - journey: guided chatbot conversation to build prompt_template - routes: REST endpoints (catalog, can-create, trigger) - redis_consumer: subscribes to batch:request:* pattern - ws_context: Redis-based execute_on_client for tool round-trip - Dockerfile with 300s timeout for long-running batch jobs	2026-03-23 07:19:02 +01:00