style: format code with black

- Format all Python files using black formatter
- Ensure consistent code style across the project
- Fix formatting issues detected by CI

Author: caikpigosso

MANIFEST.in

@@ -10,3 +10,4 @@ global-exclude test-install
 global-exclude .venv
 global-exclude .git
 
+

examples/basic_usage.py

@@ -10,19 +10,20 @@
 async def main():
     # Initialize SDK
     sdk = LessTokensSDK(
-        api_key=os.getenv("LESSTOKENS_API_KEY", "your-less-tokens-api-key"),
-        provider="openai"
+        api_key=os.getenv("LESSTOKENS_API_KEY", "your-less-tokens-api-key"), provider="openai"
     )
 
     # Process prompt
-    response = await sdk.process_prompt({
-        "prompt": "Explain what artificial intelligence is",
-        "llm_config": {
-            "api_key": os.getenv("OPENAI_API_KEY", "your-openai-api-key"),
-            "model": "gpt-4",
-            "temperature": 0.7,
+    response = await sdk.process_prompt(
+        {
+            "prompt": "Explain what artificial intelligence is",
+            "llm_config": {
+                "api_key": os.getenv("OPENAI_API_KEY", "your-openai-api-key"),
+                "model": "gpt-4",
+                "temperature": 0.7,
+            },
         }
-    })
+    )
 
     print("Response:", response.content)
     print(f"Tokens saved: {response.usage.savings}%")
@@ -31,5 +32,3 @@ async def main():
 
 if __name__ == "__main__":
     asyncio.run(main())
-
-

examples/multi_turn.py

@@ -9,40 +9,41 @@
 
 async def main():
     sdk = LessTokensSDK(
-        api_key=os.getenv("LESSTOKENS_API_KEY", "your-less-tokens-api-key"),
-        provider="openai"
+        api_key=os.getenv("LESSTOKENS_API_KEY", "your-less-tokens-api-key"), provider="openai"
     )
 
     # First message
-    response1 = await sdk.process_prompt({
-        "prompt": "What is the capital of France?",
-        "llm_config": {
-            "api_key": os.getenv("OPENAI_API_KEY", "your-openai-api-key"),
-            "model": "gpt-4",
+    response1 = await sdk.process_prompt(
+        {
+            "prompt": "What is the capital of France?",
+            "llm_config": {
+                "api_key": os.getenv("OPENAI_API_KEY", "your-openai-api-key"),
+                "model": "gpt-4",
+            },
         }
-    })
+    )
 
     print("User: What is the capital of France?")
     print(f"Assistant: {response1.content}\n")
 
     # Second message with conversation history
-    response2 = await sdk.process_prompt({
-        "prompt": "What is its population?",
-        "llm_config": {
-            "api_key": os.getenv("OPENAI_API_KEY", "your-openai-api-key"),
-            "model": "gpt-4",
-        },
-        "messages": [
-            {"role": "user", "content": "What is the capital of France?"},
-            {"role": "assistant", "content": response1.content},
-        ]
-    })
+    response2 = await sdk.process_prompt(
+        {
+            "prompt": "What is its population?",
+            "llm_config": {
+                "api_key": os.getenv("OPENAI_API_KEY", "your-openai-api-key"),
+                "model": "gpt-4",
+            },
+            "messages": [
+                {"role": "user", "content": "What is the capital of France?"},
+                {"role": "assistant", "content": response1.content},
+            ],
+        }
+    )
 
     print("User: What is its population?")
     print(f"Assistant: {response2.content}")
 
 
 if __name__ == "__main__":
     asyncio.run(main())
-
-

examples/streaming.py

@@ -9,17 +9,18 @@
 
 async def main():
     sdk = LessTokensSDK(
-        api_key=os.getenv("LESSTOKENS_API_KEY", "your-less-tokens-api-key"),
-        provider="openai"
+        api_key=os.getenv("LESSTOKENS_API_KEY", "your-less-tokens-api-key"), provider="openai"
     )
 
-    async for chunk in sdk.process_prompt_stream({
-        "prompt": "Tell a story about a robot learning to paint",
-        "llm_config": {
-            "api_key": os.getenv("OPENAI_API_KEY", "your-openai-api-key"),
-            "model": "gpt-4",
+    async for chunk in sdk.process_prompt_stream(
+        {
+            "prompt": "Tell a story about a robot learning to paint",
+            "llm_config": {
+                "api_key": os.getenv("OPENAI_API_KEY", "your-openai-api-key"),
+                "model": "gpt-4",
+            },
         }
-    }):
+    ):
         if chunk.done:
             print(f"\n\nTokens saved: {chunk.usage.savings}%")
             print(f"Total tokens: {chunk.usage.total_tokens}")
@@ -29,5 +30,3 @@ async def main():
 
 if __name__ == "__main__":
     asyncio.run(main())
-
-

lesstokens_sdk/__init__.py

@@ -34,4 +34,3 @@
     "CompressedPrompt",
     "StreamChunk",
 ]
-

lesstokens_sdk/clients/__init__.py

@@ -4,4 +4,3 @@
 from lesstokens_sdk.clients.llm_client import LLMClient
 
 __all__ = ["LessTokensClient", "LLMClient"]
-

lesstokens_sdk/clients/less_tokens_client.py

@@ -68,18 +68,15 @@ async def _perform_compression_request(
                 data = response_data.get("data") or response_data
 
                 # Handle both API response formats
-                compression_ratio = (
-                    data.get("compressionRatio") or data.get("ratio") or 1.0
-                )
+                compression_ratio = data.get("compressionRatio") or data.get("ratio") or 1.0
                 original_tokens = data.get("originalTokens") or 0
                 compressed_tokens = data.get("compressedTokens") or 0
 
                 # Always calculate savings percentage from original and compressed tokens
                 # This ensures accuracy regardless of API response format
                 if original_tokens > 0 and compressed_tokens >= 0:
                     savings = (
-                        (float(original_tokens) - float(compressed_tokens))
-                        / float(original_tokens)
+                        (float(original_tokens) - float(compressed_tokens)) / float(original_tokens)
                     ) * 100
                 else:
                     savings = 0.0
@@ -149,4 +146,3 @@ async def perform_request() -> CompressedPrompt:
         }
 
         return await retry(perform_request, retry_config)
-

lesstokens_sdk/clients/llm_client.py

@@ -14,9 +14,7 @@ class LLMClient:
     def __init__(self, provider: str, api_key: str, base_url: Optional[str] = None):
         self.provider = create_provider(provider, api_key, base_url)
 
-    async def chat(
-        self, messages: List[Dict[str, str]], config: LLMConfig
-    ) -> LLMResponse:
+    async def chat(self, messages: List[Dict[str, str]], config: LLMConfig) -> LLMResponse:
         """Send a chat completion request"""
         return await self.provider.chat(messages, config)
 

lesstokens_sdk/errors.py

@@ -56,4 +56,3 @@ def create_error(
 ) -> LessTokensError:
     """Create error from error code"""
     return LessTokensError(message, code, status_code, details)
-

lesstokens_sdk/providers/__init__.py

@@ -4,4 +4,3 @@
 from lesstokens_sdk.providers.factory import create_provider
 
 __all__ = ["LLMProvider", "create_provider"]
-