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# Agent with XAI
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- Add your `OPENROUTER_API_KEY` in the `.env` file
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- Select your model_name like `openrouter/google/palm-2-chat-bison` follows [LiteLLM conventions](https://docs.litellm.ai/docs/providers/openrouter)
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- Execute your agent!
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```python
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from swarms import Agent
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import os
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from dotenv import load_dotenv
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load_dotenv()
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# Initialize the agent with ChromaDB memory
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agent = Agent(
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agent_name="Financial-Analysis-Agent",
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model_name="openrouter/google/palm-2-chat-bison",
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system_prompt="Agent system prompt here",
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agent_description="Agent performs financial analysis.",
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)
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# Run a query
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agent.run("What are the components of a startup's stock incentive equity plan?")
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```
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# Agent with XAI
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- Add your `XAI_API_KEY` in the `.env` file
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- Select your model_name like `xai/grok-beta` follows [LiteLLM conventions](https://docs.litellm.ai/docs/providers/xai)
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- Execute your agent!
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```python
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from swarms import Agent
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import os
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from dotenv import load_dotenv
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load_dotenv()
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# Initialize the agent with ChromaDB memory
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agent = Agent(
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agent_name="Financial-Analysis-Agent",
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model_name="xai/grok-beta",
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system_prompt="Agent system prompt here",
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agent_description="Agent performs financial analysis.",
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)
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# Run a query
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agent.run("What are the components of a startup's stock incentive equity plan?")
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```
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