fix lint

Author: edwinokonkwo

packages/ai-providers/server-ai-openai/setup.cfg

@@ -1,7 +1,2 @@
 [pycodestyle]
-count = True
-# E501 - max line length - will be left to the developer to determine if something is too long
-# W503 - line break before binary operator - is not PEP8 compliant
-ignore = E501, W503
-max-line-length = 200
-
+max-line-length = 120

packages/ai-providers/server-ai-openai/src/ldai_openai/__init__.py

@@ -3,4 +3,3 @@
 from ldai_openai.openai_provider import OpenAIProvider
 
 __all__ = ['OpenAIProvider']
-

packages/ai-providers/server-ai-openai/src/ldai_openai/openai_provider.py

@@ -4,14 +4,13 @@
 import os
 from typing import Any, Dict, Iterable, List, Optional, cast
 
-from openai import AsyncOpenAI
-from openai.types.chat import ChatCompletionMessageParam
-
 from ldai import LDMessage
 from ldai.models import AIConfigKind
 from ldai.providers import AIProvider
 from ldai.providers.types import ChatResponse, LDAIMetrics, StructuredResponse
 from ldai.tracker import TokenUsage
+from openai import AsyncOpenAI
+from openai.types.chat import ChatCompletionMessageParam
 
 
 class OpenAIProvider(AIProvider):
@@ -250,4 +249,3 @@ def create_ai_metrics(openai_response: Any) -> LDAIMetrics:
         :return: LDAIMetrics with success status and token usage
         """
         return OpenAIProvider.get_ai_metrics_from_response(openai_response)
-

packages/ai-providers/server-ai-vercel/setup.cfg

@@ -1,7 +1,2 @@
 [pycodestyle]
-count = True
-# E501 - max line length - will be left to the developer to determine if something is too long
-# W503 - line break before binary operator - is not PEP8 compliant
-ignore = E501, W503
-max-line-length = 200
-
+max-line-length = 120

packages/ai-providers/server-ai-vercel/src/ldai_vercel/__init__.py

@@ -1,15 +1,15 @@
 """LaunchDarkly AI SDK Vercel Provider (Multi-Provider Support via LiteLLM)."""
 
-from ldai_vercel.vercel_provider import VercelProvider
 from ldai_vercel.types import (
+    ModelUsageTokens,
+    StreamResponse,
+    TextResponse,
     VercelModelParameters,
+    VercelProviderFunction,
     VercelSDKConfig,
     VercelSDKMapOptions,
-    VercelProviderFunction,
-    ModelUsageTokens,
-    TextResponse,
-    StreamResponse,
 )
+from ldai_vercel.vercel_provider import VercelProvider
 
 __all__ = [
     'VercelProvider',
@@ -21,4 +21,3 @@
     'TextResponse',
     'StreamResponse',
 ]
-

packages/ai-providers/server-ai-vercel/src/ldai_vercel/types.py

@@ -5,7 +5,6 @@
 
 from ldai import LDMessage
 
-
 # Type alias for provider function
 VercelProviderFunction = Callable[[str], Any]
 
@@ -115,4 +114,3 @@ class StreamResponse:
     # Note: In async streaming, these would be resolved after the stream completes
     finish_reason: Optional[str] = None
     usage: Optional[ModelUsageTokens] = None
-

packages/ai-providers/server-ai-vercel/src/ldai_vercel/vercel_provider.py

@@ -4,13 +4,12 @@
 from typing import Any, Callable, Dict, List, Optional, Union
 
 import litellm
-from litellm import acompletion
-
 from ldai import LDMessage
 from ldai.models import AIConfigKind
 from ldai.providers import AIProvider
 from ldai.providers.types import ChatResponse, LDAIMetrics, StructuredResponse
 from ldai.tracker import TokenUsage
+from litellm import acompletion
 
 from ldai_vercel.types import (
     ModelUsageTokens,
@@ -391,4 +390,3 @@ def create_model_name(ai_config: AIConfigKind) -> str:
         if provider_name:
             return f'{provider_name}/{model_name}'
         return model_name
-