adiuvAI/api
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0b5ef484630d5836e36520abb2b9518dbf59a195
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10 Commits

Author SHA1 Message Date
Roberto Musso
0b5ef48463 Phase 7: audit memory 2026-04-17 22:43:55 +02:00
Roberto Musso
ca8721e1ac PHASE 5 — Proactive mining (Power tier only) 2026-04-17 17:58:30 +02:00
Roberto Musso
741b9b87fb PHASE 2 — Mem0-style Extract/Update pipeline 2026-04-16 17:57:49 +02:00
Roberto Musso
3cf067faea feat: enhance agent configuration and model management with per-agent overrides 2026-04-10 08:45:14 +02:00
Roberto Musso
41db3a7089 update env variables 2026-04-08 23:52:52 +02:00
Roberto Musso
cc94194fd1 update app name 2026-04-08 23:27:34 +02:00
Roberto Musso
5753f8def9 refactor: remove storage, backup, plugin/marketplace features 
- Delete app/storage/ (blob_store, vector_store, encryption)
- Delete app/marketplace/ (plugin_registry, plugin_review, revenue_share)
- Delete routes: backup.py, plugins.py, storage.py, vectors.py
- Relocate embed endpoint to POST /chat/embed
- Rewrite migration 001 (remove storage/plugin tables)
- Delete migration 002 (seed_plugins)
- Remove S3/Pinecone/Qdrant env vars from settings
- Remove storage/backup quotas from tier_manager
- Remove MinIO and Qdrant from docker-compose
- Delete tests: test_backup, test_plugins, test_storage
- Update README.md and clean .env.example
 2026-04-08 00:47:37 +02:00
Roberto Musso
1ce1d492b0 Add Langfuse observability: traces, prompt management, prompt-to-generation linking 
- New app/core/langfuse_client.py: lazy singleton client, get_prompt_or_fallback()
  helper (returns raw template + prompt obj for linking), extract_usage() for token
  counts. No-ops when LANGFUSE_* env vars are not set.
- deep_agent.py: home-agent and floating-agent runs wrapped in spans; each ainvoke
  wrapped in a generation with model/input/output/usage; prompts fetched from
  Langfuse (adiuva-home-agent, adiuva-floating-agent, adiuva-floating-classifier)
  with hardcoded fallback.
- agent_runner.py: step1-classifier and step2-processor LLM calls traced; batch
  agent _run_agent_with_tools spans + generations; cloud-processor included.
  Prompts: adiuva-step1-classifier, adiuva-step2-processor, adiuva-cloud-processor.
- agent_setup.py: journey-setup span + generation per ainvoke; prompt_obj stored
  on JourneySession and reused across turns. Prompt: journey_system.
- settings.py: LANGFUSE_SECRET_KEY, LANGFUSE_PUBLIC_KEY, LANGFUSE_HOST added.
- .env.example: Langfuse section with EU/US/self-hosted host comments.
- requirements.txt: langfuse>=2.0.0.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
 2026-04-07 00:19:20 +02:00
roberto
314780d59a Add LLM configuration options and update deployment workflow 
- Introduced new API keys for Anthropic and Google in .env.example and settings.py
- Updated llm.py to retrieve API keys directly from settings
- Modified deploy.yaml to streamline code checkout and improve deployment process
 2026-03-03 16:52:56 +01:00
roberto
4d0917f5df step 1 complete: runnable FastAPI skeleton 
- Full directory structure with all __init__.py stubs
- requirements.txt with all pinned dependencies
- app/config/settings.py (BaseSettings, env-based)
- app/main.py (CORS, lifespan, /api/v1/health)
- Dockerfile (multi-stage, Python 3.12-slim, non-root user)
- docker-compose.yml (app + postgres:16 with healthcheck)
- .env.example
- BACKEND_PLAN.md: mark step 1 done, add one-step-at-a-time rule

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
 2026-03-01 23:51:37 +01:00