Files
Dialectic.Backend/providers/claude_provider.py
2026-02-12 15:45:48 +00:00

85 lines
3.0 KiB
Python

import anthropic
from typing import Optional, List, Dict, Any, Tuple
from sqlalchemy.orm import Session
from providers.base_provider import LLMProvider
from services.api_key_service import ApiKeyService
SYSTEM_PROMPT = "你正在参与一场结构化辩论。请按照用户消息中的规则进行辩论,直接给出你的论点,不要重复提示词或历史记录。"
class ClaudeProvider(LLMProvider):
"""
Anthropic Claude API provider implementation
"""
def __init__(self, db: Session, api_key: Optional[str] = None):
if not api_key:
api_key = ApiKeyService.get_api_key(db, "claude")
if api_key:
self.client = anthropic.AsyncAnthropic(api_key=api_key)
else:
raise ValueError("Claude API key not found in database or provided")
def supports_tools(self) -> bool:
return True
async def generate_response(self, model: str, prompt: str, max_tokens: Optional[int] = None) -> str:
try:
response = await self.client.messages.create(
model=model,
max_tokens=max_tokens or 500,
temperature=0.7,
system=SYSTEM_PROMPT,
messages=[
{"role": "user", "content": prompt}
]
)
return response.content[0].text
except Exception as e:
raise Exception(f"Error calling Claude API: {str(e)}")
async def generate_response_with_tools(
self,
model: str,
prompt: str,
tools: List[Dict[str, Any]],
max_tokens: Optional[int] = None
) -> Tuple[str, List[Dict[str, Any]]]:
try:
# Convert OpenAI-format tools to Anthropic format
anthropic_tools = []
for tool in tools:
func = tool.get("function", tool)
anthropic_tools.append({
"name": func["name"],
"description": func.get("description", ""),
"input_schema": func.get("parameters", func.get("input_schema", {}))
})
response = await self.client.messages.create(
model=model,
max_tokens=max_tokens or 500,
temperature=0.7,
system=SYSTEM_PROMPT,
messages=[
{"role": "user", "content": prompt}
],
tools=anthropic_tools
)
text_content = ""
tool_calls = []
for block in response.content:
if block.type == "text":
text_content += block.text
elif block.type == "tool_use":
tool_calls.append({
"name": block.name,
"arguments": block.input
})
return text_content.strip(), tool_calls
except Exception as e:
raise Exception(f"Error calling Claude API with tools: {str(e)}")