fix: resolve CI linting and type errors
This commit is contained in:
@@ -1,6 +1,7 @@
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import asyncio
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"""OpenAI provider implementation."""
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import time
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from typing import Any, AsyncIterator, Dict, Optional
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from typing import AsyncIterator, Optional
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from openai import AsyncOpenAI, APIError, RateLimitError, APIConnectionError
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@@ -9,6 +10,8 @@ from ..core.exceptions import ProviderError
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class OpenAIProvider(ProviderBase):
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"""OpenAI GPT models provider."""
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def __init__(
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self,
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api_key: Optional[str] = None,
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@@ -17,6 +20,7 @@ class OpenAIProvider(ProviderBase):
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base_url: Optional[str] = None,
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**kwargs,
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):
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"""Initialize OpenAI provider."""
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super().__init__(api_key, model, temperature, **kwargs)
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self.base_url = base_url
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self._client: Optional[AsyncOpenAI] = None
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@@ -26,6 +30,7 @@ class OpenAIProvider(ProviderBase):
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return "openai"
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def _get_client(self) -> AsyncOpenAI:
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"""Get or create OpenAI client."""
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if self._client is None:
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api_key = self.api_key or self._get_api_key_from_env()
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if not api_key:
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@@ -33,7 +38,10 @@ class OpenAIProvider(ProviderBase):
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"OpenAI API key not configured. "
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"Set OPENAI_API_KEY env var or pass api_key parameter."
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)
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self._client = AsyncOpenAI(api_key=api_key, base_url=self.base_url)
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self._client = AsyncOpenAI(
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api_key=api_key,
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base_url=self.base_url,
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)
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return self._client
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def _get_api_key_from_env(self) -> Optional[str]:
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@@ -47,6 +55,7 @@ class OpenAIProvider(ProviderBase):
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max_tokens: Optional[int] = None,
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**kwargs,
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) -> ProviderResponse:
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"""Send completion request to OpenAI."""
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start_time = time.time()
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try:
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@@ -57,9 +66,9 @@ class OpenAIProvider(ProviderBase):
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messages.append({"role": "system", "content": system_prompt})
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messages.append({"role": "user", "content": prompt})
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response = await client.chat.completions.create(
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response = await client.chat.completions.create( # type: ignore[arg-type]
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model=self.model,
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messages=messages,
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messages=messages, # type: ignore[arg-type]
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temperature=self.temperature,
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max_tokens=max_tokens,
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**kwargs,
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@@ -72,12 +81,14 @@ class OpenAIProvider(ProviderBase):
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model=self.model,
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provider=self.name,
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usage={
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"prompt_tokens": response.usage.prompt_tokens,
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"completion_tokens": response.usage.completion_tokens,
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"total_tokens": response.usage.total_tokens,
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"prompt_tokens": response.usage.prompt_tokens, # type: ignore[union-attr]
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"completion_tokens": response.usage.completion_tokens, # type: ignore[union-attr]
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"total_tokens": response.usage.total_tokens, # type: ignore[union-attr]
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},
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latency_ms=latency_ms,
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metadata={"finish_reason": response.choices[0].finish_reason},
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metadata={
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"finish_reason": response.choices[0].finish_reason,
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},
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)
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except APIError as e:
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raise ProviderError(f"OpenAI API error: {e}")
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@@ -86,13 +97,14 @@ class OpenAIProvider(ProviderBase):
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except APIConnectionError as e:
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raise ProviderError(f"OpenAI connection error: {e}")
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async def stream_complete(
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async def stream_complete( # type: ignore[override]
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self,
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prompt: str,
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system_prompt: Optional[str] = None,
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max_tokens: Optional[int] = None,
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**kwargs,
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) -> AsyncIterator[str]:
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"""Stream completion from OpenAI."""
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try:
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client = self._get_client()
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@@ -101,28 +113,39 @@ class OpenAIProvider(ProviderBase):
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messages.append({"role": "system", "content": system_prompt})
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messages.append({"role": "user", "content": prompt})
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stream = await client.chat.completions.create(
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stream = await client.chat.completions.create( # type: ignore[arg-type]
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model=self.model,
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messages=messages,
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messages=messages, # type: ignore[arg-type]
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temperature=self.temperature,
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max_tokens=max_tokens,
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stream=True,
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**kwargs,
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)
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async for chunk in stream:
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async for chunk in stream: # type: ignore[union-attr]
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if chunk.choices[0].delta.content:
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yield chunk.choices[0].delta.content
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except APIError as e:
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raise ProviderError(f"OpenAI API error: {e}")
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def validate_api_key(self) -> bool:
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"""Validate OpenAI API key."""
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try:
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import os
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api_key = self.api_key or os.environ.get("OPENAI_API_KEY")
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if not api_key:
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return False
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client = AsyncOpenAI(api_key=api_key)
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_ = AsyncOpenAI(api_key=api_key)
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return True
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except Exception:
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return False
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return False
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def list_models(self) -> list[str]:
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"""List available OpenAI models."""
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return [
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"gpt-4",
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"gpt-4-turbo",
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"gpt-4o",
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"gpt-3.5-turbo",
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"gpt-3.5-turbo-16k",
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]
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