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65 lines
2.3 KiB
Python
65 lines
2.3 KiB
Python
from __future__ import annotations
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import typing
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import anthropic
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from .. import api, entities, errors
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from .. import api, entities, errors
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from ....core import entities as core_entities
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from ... import entities as llm_entities
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from ...tools import entities as tools_entities
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@api.requester_class("anthropic-messages")
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class AnthropicMessages(api.LLMAPIRequester):
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"""Anthropic Messages API 请求器"""
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client: anthropic.AsyncAnthropic
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async def initialize(self):
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self.client = anthropic.AsyncAnthropic(
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api_key="",
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base_url=self.ap.provider_cfg.data['requester']['anthropic-messages']['base-url'],
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timeout=self.ap.provider_cfg.data['requester']['anthropic-messages']['timeout'],
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proxies=self.ap.proxy_mgr.get_forward_proxies()
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)
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async def request(
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self,
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query: core_entities.Query,
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) -> typing.AsyncGenerator[llm_entities.Message, None]:
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self.client.api_key = query.use_model.token_mgr.get_token()
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args = self.ap.provider_cfg.data['requester']['anthropic-messages']['args'].copy()
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args["model"] = query.use_model.name if query.use_model.model_name is None else query.use_model.model_name
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req_messages = [ # req_messages 仅用于类内，外部同步由 query.messages 进行
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m.dict(exclude_none=True) for m in query.prompt.messages
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] + [m.dict(exclude_none=True) for m in query.messages]
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# 删除所有 role=system & content='' 的消息
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req_messages = [
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m for m in req_messages if not (m["role"] == "system" and m["content"].strip() == "")
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]
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# 检查是否有 role=system 的消息，若有，改为 role=user，并在后面加一个 role=assistant 的消息
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system_role_index = []
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for i, m in enumerate(req_messages):
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if m["role"] == "system":
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system_role_index.append(i)
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m["role"] = "user"
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if system_role_index:
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for i in system_role_index[::-1]:
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req_messages.insert(i + 1, {"role": "assistant", "content": "Okay, I'll follow."})
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args["messages"] = req_messages
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resp = await self.client.messages.create(**args)
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yield llm_entities.Message(
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content=resp.content[0].text,
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role=resp.role
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) |