mrhavens
fe1e001878
- Stage 1: One sentence summary - Stage 2: One paragraph outline - Stage 3: Character sheets - Stage 4: Four-page outline - Stage 5: Detailed character charts - Stage 6: Scene list - Stage 7: Scene descriptions - Then: Style guide → Write chapters → Critique → Compile Full pre-writing workflow now wired up.
161 lines
4.8 KiB
Python
161 lines
4.8 KiB
Python
"""LLM client for Opus Orchestrator.
|
|
|
|
Supports MiniMax and OpenAI providers.
|
|
"""
|
|
|
|
import os
|
|
from typing import Any, Optional
|
|
|
|
import httpx
|
|
|
|
|
|
class LLMClient:
|
|
"""Simple LLM client for making API calls."""
|
|
|
|
def __init__(
|
|
self,
|
|
api_key: Optional[str] = None,
|
|
provider: str = "minimax",
|
|
model: str = "MiniMax/MiniMax-M2.1",
|
|
base_url: Optional[str] = None,
|
|
):
|
|
"""Initialize LLM client."""
|
|
self.api_key = api_key or os.environ.get("MINIMAX_API_KEY") or os.environ.get("OPENAI_API_KEY")
|
|
self.provider = provider
|
|
self.model = model
|
|
|
|
# Normalize model name for MiniMax
|
|
if provider == "minimax":
|
|
# MiniMax uses model names like "abab6.5s-chat" or "MiniMax-M2.1"
|
|
self.minimax_model = model.split("/")[-1] if "/" in model else model
|
|
|
|
# Set base URL based on provider
|
|
if base_url:
|
|
self.base_url = base_url
|
|
elif provider == "minimax":
|
|
self.base_url = "https://api.minimax.chat/v1"
|
|
elif provider == "openai":
|
|
self.base_url = "https://api.openai.com/v1"
|
|
else:
|
|
self.base_url = "https://api.openai.com/v1"
|
|
|
|
self.client = httpx.AsyncClient(timeout=120.0)
|
|
|
|
async def complete(
|
|
self,
|
|
system_prompt: str,
|
|
user_prompt: str,
|
|
temperature: float = 0.7,
|
|
max_tokens: Optional[int] = None,
|
|
) -> str:
|
|
"""Make a completion request."""
|
|
headers = {
|
|
"Authorization": f"Bearer {self.api_key}",
|
|
"Content-Type": "application/json",
|
|
}
|
|
|
|
if self.provider == "minimax":
|
|
return await self._complete_minimax(
|
|
system_prompt, user_prompt, temperature, max_tokens, headers
|
|
)
|
|
elif self.provider == "openai":
|
|
return await self._complete_openai(
|
|
system_prompt, user_prompt, temperature, max_tokens, headers
|
|
)
|
|
else:
|
|
raise ValueError(f"Unsupported provider: {self.provider}")
|
|
|
|
async def _complete_minimax(
|
|
self,
|
|
system_prompt: str,
|
|
user_prompt: str,
|
|
temperature: float,
|
|
max_tokens: Optional[int],
|
|
headers: dict,
|
|
) -> str:
|
|
"""Call MiniMax API."""
|
|
# MiniMax chat completion format
|
|
payload = {
|
|
"model": self.minimax_model,
|
|
"messages": [
|
|
{"role": "system", "content": system_prompt},
|
|
{"role": "user", "content": user_prompt},
|
|
],
|
|
"temperature": temperature,
|
|
}
|
|
|
|
if max_tokens:
|
|
payload["max_tokens"] = max_tokens
|
|
|
|
response = await self.client.post(
|
|
f"{self.base_url}/text/chatcompletion_v2",
|
|
headers=headers,
|
|
json=payload,
|
|
)
|
|
|
|
# Debug output
|
|
if response.status_code != 200:
|
|
print(f"MiniMax API error: {response.status_code}")
|
|
print(f"Response: {response.text[:500]}")
|
|
response.raise_for_status()
|
|
|
|
data = response.json()
|
|
|
|
# Handle different response formats
|
|
if "choices" in data:
|
|
return data["choices"][0]["message"]["content"]
|
|
elif "choices" in data.get("data", {}):
|
|
return data["data"]["choices"][0]["message"]["content"]
|
|
else:
|
|
# Try to find content in response
|
|
raise Exception(f"Unexpected MiniMax response: {data}")
|
|
|
|
async def _complete_openai(
|
|
self,
|
|
system_prompt: str,
|
|
user_prompt: str,
|
|
temperature: float,
|
|
max_tokens: Optional[int],
|
|
headers: dict,
|
|
) -> str:
|
|
"""Call OpenAI API."""
|
|
payload = {
|
|
"model": self.model,
|
|
"messages": [
|
|
{"role": "system", "content": system_prompt},
|
|
{"role": "user", "content": user_prompt},
|
|
],
|
|
"temperature": temperature,
|
|
}
|
|
|
|
if max_tokens:
|
|
payload["max_tokens"] = max_tokens
|
|
|
|
response = await self.client.post(
|
|
f"{self.base_url}/chat/completions",
|
|
headers=headers,
|
|
json=payload,
|
|
)
|
|
response.raise_for_status()
|
|
|
|
data = response.json()
|
|
return data["choices"][0]["message"]["content"]
|
|
|
|
async def close(self):
|
|
"""Close the HTTP client."""
|
|
await self.client.aclose()
|
|
|
|
|
|
# Convenience function
|
|
def get_llm_client(config: Optional[Any] = None) -> LLMClient:
|
|
"""Get an LLM client from config."""
|
|
from opus_orchestrator.config import get_config
|
|
|
|
cfg = config or get_config()
|
|
|
|
return LLMClient(
|
|
api_key=cfg.agent.api_key,
|
|
provider=cfg.agent.provider,
|
|
model=cfg.agent.model,
|
|
)
|