Add MiniMax LLM integration and local .env support

- Add .env to .gitignore (API keys stay local)
- Add LLM client with MiniMax and OpenAI support
- Update config to load from environment variables
- Wire up Architect agent to actually call the LLM
- Add MiniMax API key to local .env file
This commit is contained in:
2026-03-12 18:33:29 +00:00
parent 40378ad65e
commit e151cee69f
5 changed files with 330 additions and 31 deletions
+47 -2
View File
@@ -1,10 +1,16 @@
"""Opus Orchestrator AI - Configuration."""
import os
from pathlib import Path
from typing import Optional
from pydantic import BaseModel, Field
def _load_env(key: str, default: Optional[str] = None) -> Optional[str]:
"""Load from environment variable."""
return os.environ.get(key, default)
class FortressConfig(BaseModel):
"""Configuration for Fortress integration."""
@@ -18,10 +24,14 @@ class FortressConfig(BaseModel):
class AgentConfig(BaseModel):
"""Configuration for AI agents."""
model: str = Field(default="gpt-4o", description="Default model for agents")
model: str = Field(default="MiniMax/MiniMax-M2.1", description="Default model for agents")
temperature: float = Field(default=0.7, ge=0.0, le=2.0)
max_tokens: Optional[int] = Field(default=None, description="Max tokens per response")
max_iterations: int = Field(default=10, description="Max iterations per agent task")
# Provider configuration
provider: str = Field(default="minimax", description="LLM provider: minimax, openai, anthropic")
api_key: Optional[str] = Field(default=None, description="API key for LLM provider")
class IterationConfig(BaseModel):
@@ -57,6 +67,37 @@ class OpusConfig(BaseModel):
frozen = False
def load_config_from_env() -> OpusConfig:
"""Load configuration from environment variables.
Reads:
- MINIMAX_API_KEY or OPENAI_API_KEY for LLM
- GITHUB_TOKEN for GitHub operations
"""
# Load API keys
api_key = _load_env("MINIMAX_API_KEY") or _load_env("OPENAI_API_KEY")
github_token = _load_env("GITHUB_TOKEN")
# Determine provider
if _load_env("MINIMAX_API_KEY"):
provider = "minimax"
default_model = "MiniMax/MiniMax-M2.1"
else:
provider = "openai"
default_model = "gpt-4o"
agent_config = AgentConfig(
model=default_model,
provider=provider,
api_key=api_key,
)
return OpusConfig(
agent=agent_config,
github_token=github_token,
)
# Global config instance
_config: Optional[OpusConfig] = None
@@ -65,7 +106,11 @@ def get_config() -> OpusConfig:
"""Get the global configuration instance."""
global _config
if _config is None:
_config = OpusConfig()
# Try to load from environment
try:
_config = load_config_from_env()
except Exception:
_config = OpusConfig()
return _config