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Update Perplexity example in documentation (#1623)
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@@ -310,8 +310,8 @@ These are examples of how to configure LLMs for your agent.
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from crewai import LLM
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llm = LLM(
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model="perplexity/mistral-7b-instruct",
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base_url="https://api.perplexity.ai/v1",
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model="llama-3.1-sonar-large-128k-online",
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base_url="https://api.perplexity.ai/",
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api_key="your-api-key-here"
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)
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agent = Agent(llm=llm, ...)
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@@ -400,4 +400,4 @@ This is particularly useful when working with OpenAI-compatible APIs or when you
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- **API Errors**: Check your API key, network connection, and rate limits.
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- **Unexpected Outputs**: Refine your prompts and adjust temperature or top_p.
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- **Performance Issues**: Consider using a more powerful model or optimizing your queries.
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- **Timeout Errors**: Increase the `timeout` parameter or optimize your input.
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- **Timeout Errors**: Increase the `timeout` parameter or optimize your input.
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