Integrate Together AI for Multi-Model Inference

Refine the `qualitative_analysis_tool` and `quantitative_modeling_tool` functions to make actual API calls to Together AI, specifying Claude 4 Sonnet and Gemini 3 Flash respectively. Ensure proper API key handling and error management. Show the Python code for these tool implementations, demonstrating the Together AI API calls. ```python
import together together.api_key = "YOUR_TOGETHER_API_KEY" def call_together_api(model: str, prompt: str): response = together.chat.completions.create( model=model, messages=[ {"role": "user", "content": prompt} ], max_tokens=500 ) return response.choices[0].message.content def qualitative_analysis_tool(topic: str): prompt = f"Perform a qualitative sentiment analysis on recent news and trends concerning {topic}. What are the key strategic implications?" return call_together_api("claude-4-sonnet", prompt) # Adjust model ID as per Together AI list def quantitative_modeling_tool(data: str): prompt = f"Given the following financial data: {data}, project key performance indicators for the next two quarters and identify potential risks." return call_together_api("gemini-3-flash", prompt) # Adjust model ID as per Together AI list
```