33488fd634
Backend: - FastAPI WebSocket /ws endpoint with streaming via LangGraph astream - LangGraph Supervisor connecting 3 mock agents (order_lookup, order_actions, fallback) - YAML Agent Registry with Pydantic validation and immutable configs - PostgresSaver checkpoint persistence via langgraph-checkpoint-postgres - Session TTL with 30-min sliding window and interrupt extension - LLM provider abstraction (Anthropic/OpenAI/Google) - Token usage + cost tracking callback handler - Input validation: message size cap, thread_id format, content length - Security: no hardcoded defaults, startup API key validation, no input reflection Frontend: - React 19 + TypeScript + Vite chat UI - WebSocket hook with reconnect + exponential backoff - Streaming token display with agent attribution - Interrupt approval/reject UI for write operations - Collapsible tool call viewer Testing: - 87 unit tests, 87% coverage (exceeds 80% requirement) - Ruff lint + format clean Infrastructure: - Docker Compose (PostgreSQL 16 + backend) - pyproject.toml with full dependency management
47 lines
1.2 KiB
Python
47 lines
1.2 KiB
Python
"""Centralized application configuration via pydantic-settings."""
|
|
|
|
from __future__ import annotations
|
|
|
|
from typing import Literal
|
|
|
|
from pydantic import model_validator
|
|
from pydantic_settings import BaseSettings, SettingsConfigDict
|
|
|
|
|
|
class Settings(BaseSettings):
|
|
model_config = SettingsConfigDict(
|
|
env_file=".env",
|
|
env_file_encoding="utf-8",
|
|
extra="ignore",
|
|
)
|
|
|
|
database_url: str
|
|
|
|
llm_provider: Literal["anthropic", "openai", "google"] = "anthropic"
|
|
llm_model: str = "claude-sonnet-4-6"
|
|
|
|
session_ttl_minutes: int = 30
|
|
interrupt_ttl_minutes: int = 30
|
|
|
|
ws_host: str = "0.0.0.0"
|
|
ws_port: int = 8000
|
|
|
|
anthropic_api_key: str = ""
|
|
openai_api_key: str = ""
|
|
google_api_key: str = ""
|
|
|
|
@model_validator(mode="after")
|
|
def validate_provider_key(self) -> Settings:
|
|
key_map = {
|
|
"anthropic": self.anthropic_api_key,
|
|
"openai": self.openai_api_key,
|
|
"google": self.google_api_key,
|
|
}
|
|
key = key_map.get(self.llm_provider, "")
|
|
if not key:
|
|
raise ValueError(
|
|
f"API key for provider '{self.llm_provider}' is required. "
|
|
f"Set the corresponding environment variable."
|
|
)
|
|
return self
|