Markov
5417980b76
- Implemented ReAct loop in agent.py - Added Anthropic provider using httpx (no SDK) - Created tools: read, write, edit, bash - Added session management with JSONL format - Included configuration system with env var support - Added CLI interface and example usage - Minimal dependencies: only httpx
59 lines
1.9 KiB
Python
59 lines
1.9 KiB
Python
"""
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Configuration management for PicoGent
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"""
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import json
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import os
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from dataclasses import dataclass
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from typing import Optional, Dict, Any
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@dataclass
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class Config:
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"""Configuration for PicoGent agent"""
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provider: str = "anthropic"
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model: str = "claude-sonnet-4-20250514"
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api_key: str = "env:ANTHROPIC_API_KEY"
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max_tokens: int = 8192
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max_iterations: int = 20
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workspace: str = "."
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system_prompt: str = "You are a helpful coding assistant."
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@classmethod
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def from_file(cls, config_path: str) -> "Config":
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"""Load configuration from JSON file"""
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if not os.path.exists(config_path):
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raise FileNotFoundError(f"Config file not found: {config_path}")
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with open(config_path, 'r') as f:
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data = json.load(f)
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# Resolve environment variables in API key
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api_key = data.get('api_key', '')
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if api_key.startswith('env:'):
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env_var = api_key[4:] # Remove 'env:' prefix
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api_key = os.getenv(env_var, '')
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if not api_key:
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raise ValueError(f"Environment variable {env_var} is not set")
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return cls(
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provider=data.get('provider', 'anthropic'),
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model=data.get('model', 'claude-sonnet-4-20250514'),
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api_key=api_key,
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max_tokens=data.get('max_tokens', 8192),
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max_iterations=data.get('max_iterations', 20),
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workspace=data.get('workspace', '.'),
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system_prompt=data.get('system_prompt', 'You are a helpful coding assistant.')
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)
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def to_dict(self) -> Dict[str, Any]:
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"""Convert config to dictionary"""
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return {
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'provider': self.provider,
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'model': self.model,
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'api_key': self.api_key,
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'max_tokens': self.max_tokens,
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'max_iterations': self.max_iterations,
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'workspace': self.workspace,
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'system_prompt': self.system_prompt
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} |