Files
api/app/config/settings.py
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

65 lines
2.1 KiB
Python

from typing import Literal
from pydantic_settings import BaseSettings, SettingsConfigDict
class Settings(BaseSettings):
DATABASE_URL: str = "postgresql+asyncpg://postgres:postgres@localhost:5432/adiuva"
JWT_SECRET: str = "change-me-in-production"
JWT_ALGORITHM: str = "HS256"
JWT_ACCESS_TOKEN_EXPIRE_MINUTES: int = 30
JWT_REFRESH_TOKEN_EXPIRE_DAYS: int = 30
STRIPE_SECRET_KEY: str = ""
STRIPE_WEBHOOK_SECRET: str = ""
S3_BUCKET: str = ""
S3_REGION: str = "us-east-1"
S3_ENDPOINT_URL: str = ""
AWS_ACCESS_KEY_ID: str = ""
AWS_SECRET_ACCESS_KEY: str = ""
PINECONE_API_KEY: str = ""
PINECONE_INDEX: str = "adiuva"
QDRANT_URL: str = ""
QDRANT_API_KEY: str = ""
OPENAI_API_KEY: str = ""
ANTHROPIC_API_KEY: str = ""
GOOGLE_API_KEY: str = ""
CEREBRAS_API_KEY: str = ""
LLM_MODEL: str = "gpt-4o"
LLM_ROUTER_MODEL: str = "gpt-4o-mini"
LLM_EMBED_MODEL: str = "text-embedding-3-small"
# GitHub Copilot OAuth token storage directory.
# Leave empty to use the LiteLLM default (~/.config/litellm/github_copilot).
# In Docker, set this to a path backed by a named volume so tokens survive restarts.
GITHUB_COPILOT_TOKEN_DIR: str = ""
# OAuth client credentials — used for Gmail and Microsoft (Outlook/Teams) flows.
GMAIL_CLIENT_ID: str = ""
GMAIL_CLIENT_SECRET: str = ""
MS_CLIENT_ID: str = ""
MS_CLIENT_SECRET: str = ""
# MS_TENANT_ID: set to 'common' to allow multi-tenant (personal + work accounts).
MS_TENANT_ID: str = "common"
# Fernet key (URL-safe base64, 32-byte key) for at-rest encryption of OAuth
# tokens stored in cloud_agent_configs.oauth_token_encrypted.
# Generate with: from cryptography.fernet import Fernet; Fernet.generate_key()
OAUTH_ENCRYPTION_KEY: str = ""
CORS_ORIGINS: list[str] = ["app://.", "http://localhost:3000", "http://localhost:5173"]
LANGFUSE_SECRET_KEY: str = ""
LANGFUSE_PUBLIC_KEY: str = ""
LANGFUSE_HOST: str = "https://cloud.langfuse.com"
ENV: Literal["dev", "prod"] = "dev"
model_config = SettingsConfigDict(env_file=".env", env_file_encoding="utf-8")
settings = Settings()