mirror of
https://github.com/RYDE-WORK/Langchain-Chatchat.git
synced 2026-01-19 21:37:20 +08:00
130 lines
4.6 KiB
Python
130 lines
4.6 KiB
Python
import sys
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from fastchat.conversation import Conversation
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from server.model_workers.base import *
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from server.utils import get_httpx_client
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import json, httpx
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from typing import List, Dict
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from configs import logger, log_verbose
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import uvicorn
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class ClaudeWorker(ApiModelWorker):
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def __init__(
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self,
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*,
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controller_addr: str = None,
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worker_addr: str = None,
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model_names: List[str] = ["claude-api"],
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version: str = "2023-06-01",
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**kwargs,
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):
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kwargs.update(model_names=model_names, controller_addr=controller_addr, worker_addr=worker_addr)
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kwargs.setdefault("context_len", 1024)
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super().__init__(**kwargs)
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self.version = version
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def create_claude_messages(self, params: ApiChatParams) -> json:
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has_history = any(msg['role'] == 'assistant' for msg in params.messages)
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claude_msg = {
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"model": params.model_name,
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"max_tokens": params.context_len,
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"messages": []
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}
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for msg in params.messages:
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role = msg['role']
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content = msg['content']
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if role == 'system':
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continue
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# Adjusting for history presence
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if has_history and role == 'assistant':
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role = "model"
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claude_msg["messages"].append({"role": role, "content": content})
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return claude_msg
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def do_chat(self, params: ApiChatParams) -> Dict:
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data = self.create_claude_messages(params)
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url = "https://api.anthropic.com/v1/messages"
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headers = {
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'anthropic-version': '2023-06-01',
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'anthropic-beta': 'messages-2023-12-15',
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'Content-Type': 'application/json',
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'x-api-key': params.api_key,
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}
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if log_verbose:
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logger.info(f'{self.__class__.__name__}:url: {url}')
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logger.info(f'{self.__class__.__name__}:headers: {headers}')
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logger.info(f'{self.__class__.__name__}:data: {data}')
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text = ""
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json_string = ""
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timeout = httpx.Timeout(60.0)
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client = get_httpx_client(timeout=timeout)
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client = get_httpx_client()
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with client.stream("POST", url, headers=headers, json=data) as response:
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for line in response.iter_lines():
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line = line.strip()
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if not line:
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continue
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json_string += line
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try:
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event_data = json.loads(line)
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event_type = event_data.get("type")
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if event_type == "content_block_delta":
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delta_text = event_data.get("delta", {}).get("text", "")
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text += delta_text
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elif event_type == "message_stop":
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# Message is complete, yield the result
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yield {
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"error_code": 0,
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"text": text
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}
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text = ""
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else:
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logger.error(f"Failed to get response: {response.text}")
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yield {
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"error_code": response.status_code,
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"text": "Failed to communicate with Claude API."
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}
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except json.JSONDecodeError as e:
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print("Failed to decode JSON:", e)
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print("Invalid JSON string:", json_string)
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def get_embeddings(self, params):
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# Implement embedding retrieval if necessary
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print("embedding")
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print(params)
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def make_conv_template(self, conv_template: List[Dict[str, str]] = None, model_path: str = None) -> Conversation:
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if conv_template is None:
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conv_template = [
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{"role": "user", "content": "Hello there."},
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{"role": "assistant", "content": "Hi, I'm Claude. How can I help you?"},
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{"role": "user", "content": "Can you explain LLMs in plain English?"}
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]
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return Conversation(
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name=self.model_names[0],
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system_message="You are Claude, a helpful, respectful, and honest assistant.",
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messages=conv_template,
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roles=["user", "assistant"],
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sep="\n### ",
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stop_str="###",
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)
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if __name__ == "__main__":
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from server.utils import MakeFastAPIOffline
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from fastchat.serve.base_model_worker import app
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worker = ClaudeWorker(
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controller_addr="http://127.0.0.1:20001",
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worker_addr="http://127.0.0.1:21011",
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)
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sys.modules["fastchat.serve.model_worker"].worker = worker
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MakeFastAPIOffline(app)
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uvicorn.run(app, port=21011) |