пустой без smallfgenta

app.py

@@ -1,30 +1,19 @@
-from smolagents import ToolCallingAgent, DuckDuckGoSearchTool, LiteLLMModel
-import os
 import litellm
 litellm._turn_on_debug()  # Enable debugging for litellm
 
 # Set the API key for Sambanova
 os.environ['SAMBANOVA_API_KEY'] = os.getenv('sambanova_token')
 
-# Create the model with explicit provider specification
-model = LiteLLMModel(
-    model_id="sambanova/Qwen2.5-Coder-32B-Instruct",  # Explicitly specify the sambanova provider
-    max_tokens=2096,
-    temperature=0.1,
-    api_base="https://api.sambanova.ai/v1/chat/completions",  # Specify the base URL for Sambanova, as in your working requests example
-)
-
-# Create the agent
-agent = ToolCallingAgent(
-    tools=[DuckDuckGoSearchTool()],
-    model=model
-)
-
-# Run the agent with error handling
+# Test the completion directly with litellm
 try:
-    result = agent.run("Search for the best music recommendations for a party at the Wayne's mansion.")
-    print("\n++++\nResult:\n")
-    print(result)
+    response = litellm.completion(
+        model="sambanova/Qwen2.5-Coder-32B-Instruct",
+        messages=[{"role": "user", "content": "Tell me about yourself."}],
+        max_tokens=100,
+        api_base="https://api.sambanova.ai/v1",  # Base URL for Sambanova
+    )
+    print("\n++++\nResponse from litellm:\n")
+    print(response)
 except Exception as e:
     print(f"\n++++\nError occurred:\n")
     print(f"{e}")