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53 lines
1.7 KiB
Python
53 lines
1.7 KiB
Python
"""
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This file contains common utils for anthropic calls.
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"""
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from typing import Optional, Union
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import httpx
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class AnthropicError(Exception):
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def __init__(
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self,
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status_code: int,
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message,
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headers: Optional[httpx.Headers] = None,
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):
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self.status_code = status_code
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self.message: str = message
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self.headers = headers
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self.request = httpx.Request(
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method="POST", url="https://api.anthropic.com/v1/messages"
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)
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self.response = httpx.Response(status_code=status_code, request=self.request)
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super().__init__(
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self.message
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) # Call the base class constructor with the parameters it needs
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def process_anthropic_headers(headers: Union[httpx.Headers, dict]) -> dict:
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openai_headers = {}
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if "anthropic-ratelimit-requests-limit" in headers:
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openai_headers["x-ratelimit-limit-requests"] = headers[
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"anthropic-ratelimit-requests-limit"
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]
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if "anthropic-ratelimit-requests-remaining" in headers:
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openai_headers["x-ratelimit-remaining-requests"] = headers[
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"anthropic-ratelimit-requests-remaining"
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]
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if "anthropic-ratelimit-tokens-limit" in headers:
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openai_headers["x-ratelimit-limit-tokens"] = headers[
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"anthropic-ratelimit-tokens-limit"
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]
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if "anthropic-ratelimit-tokens-remaining" in headers:
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openai_headers["x-ratelimit-remaining-tokens"] = headers[
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"anthropic-ratelimit-tokens-remaining"
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]
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llm_response_headers = {
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"{}-{}".format("llm_provider", k): v for k, v in headers.items()
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}
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additional_headers = {**llm_response_headers, **openai_headers}
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return additional_headers
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