multi agent concierge workflows using Groq models.

[0xrushi]

Hi, I’m attempting to use Groq models with the multi-agent example from this link: https://github.com/run-llama/multi-agent-concierge/blob/main/workflows.py#L12, but I’m having trouble getting it to work. Could someone please provide guidance on how to do this?​

[dosubot[bot]]

Hey there, @0xrushi! I'm here to help you with any bugs, questions, or contributions. I'll be assisting you while waiting for a human maintainer.

To integrate Groq models into the multi-agent concierge workflows, follow these steps:

1. Install Required Packages: Ensure you have the necessary packages installed:

   pip install llama-index
   pip install llama-index-llms-groq
   pip install llama-index-embeddings-huggingface
   pip install llama-parse

2. Set Up Environment Variables: Make sure your GROQ_API_KEY is set as an environment variable:

   import os
   os.environ["GROQ_API_KEY"] = "<GROQ_API_KEY>"

3. Modify Import Statements: Update the workflows.py file to include Groq-specific classes. For example:

   from llama_index.llms.groq import Groq

4. Initialize Groq Model: Set up the Groq model in your workflow:

   llm = Groq(model="llama3-8b-8192")

5. Adjust Workflow Logic: Modify the workflow logic to use the Groq model. You can call the complete method to get responses from the model:

   response = llm.complete("Your query here")

6. Handle Asynchronous Operations: If your workflow uses asynchronous operations, ensure that the Groq model calls are compatible with this setup.

By following these steps, you should be able to integrate Groq models into your multi-agent concierge workflows effectively ^[1][2].

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[0xrushi]

No,sorry Mr Bot this doesn't work