1050df780d
- Intent classification with LLM structured output (single/multi/ambiguous) - Discount agent with apply_discount and generate_coupon tools - Interrupt manager with 30-min TTL auto-expiration and retry prompts - Webhook escalation module with exponential backoff retry (max 3) - Three vertical industry templates (e-commerce, SaaS, fintech) - Template loading in AgentRegistry - Enhanced supervisor prompt with dynamic agent descriptions - 153 tests passing, 90.18% coverage
53 lines
1.4 KiB
Python
53 lines
1.4 KiB
Python
"""Centralized application configuration via pydantic-settings."""
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from __future__ import annotations
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from typing import Literal
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from pydantic import model_validator
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from pydantic_settings import BaseSettings, SettingsConfigDict
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class Settings(BaseSettings):
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model_config = SettingsConfigDict(
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env_file=".env",
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env_file_encoding="utf-8",
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extra="ignore",
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)
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database_url: str
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llm_provider: Literal["anthropic", "openai", "google"] = "anthropic"
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llm_model: str = "claude-sonnet-4-6"
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session_ttl_minutes: int = 30
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interrupt_ttl_minutes: int = 30
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ws_host: str = "0.0.0.0"
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ws_port: int = 8000
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webhook_url: str = ""
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webhook_timeout_seconds: int = 10
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webhook_max_retries: int = 3
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template_name: str = ""
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anthropic_api_key: str = ""
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openai_api_key: str = ""
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google_api_key: str = ""
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@model_validator(mode="after")
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def validate_provider_key(self) -> Settings:
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key_map = {
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"anthropic": self.anthropic_api_key,
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"openai": self.openai_api_key,
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"google": self.google_api_key,
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}
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key = key_map.get(self.llm_provider, "")
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if not key:
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raise ValueError(
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f"API key for provider '{self.llm_provider}' is required. "
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f"Set the corresponding environment variable."
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)
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return self
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