fix: resolve CI linting and type errors
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This commit is contained in:
2026-02-04 12:58:21 +00:00
parent fa7365ca37
commit 627c0ec550

View File

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