Is it OpenAIAssistantAgent is available for AzureOpenAI

[mraguth]

I am using gpt-4 AzureOpenAI and like to use OpenAIAssistantAgent provided in the example: https://docs.llamaindex.ai/en/stable/examples/agent/openai_assistant_query_cookbook/
However I am getting error "OpenAIError: The api_key client option must be set either by passing api_key to the client or by setting the OPENAI_API_KEY environment variable"

Please advise.

[dosubot[bot]]

To fix the "OpenAIError: The api_key client option must be set" error when using the OpenAI Assistant Agent with Azure OpenAI, you need to ensure your API key is correctly set. This can be done in two ways:

1. Setting Environment Variables: Before running your script, set the OPENAI_API_KEY environment variable with your API key. Additionally, set AZURE_OPENAI_ENDPOINT to your Azure OpenAI endpoint URL and OPENAI_API_VERSION to "2023-07-01-preview". Here's how you can set these in your Python script:

import os

os.environ["OPENAI_API_KEY"] = "<your-api-key>"
os.environ["AZURE_OPENAI_ENDPOINT"] = "https://<your-resource-name>.openai.azure.com/"
os.environ["OPENAI_API_VERSION"] = "2023-07-01-preview"

Replace <your-api-key> and <your-resource-name> with your actual Azure OpenAI API key and resource name.

2. Passing API Key Directly: Alternatively, you can directly pass the API key when creating an instance of AzureOpenAI:

llm = AzureOpenAI(
    engine="my-custom-llm",
    model="gpt-35-turbo-16k",
    temperature=0.0,
    azure_endpoint="https://<your-resource-name>.openai.azure.com/",
    api_key="<your-api-key>",
    api_version="2023-07-01-preview",
)

Make sure to replace <your-api-key>, <your-resource-name>, and other placeholders with your actual configuration details.

For more detailed guidance, you can refer to the LlamaIndex documentation.

Details

Sources

• docs/docs/examples/llm/azure_openai.ipynb
• llama-index-integrations/agent/llama-index-agent-openai/llama_index/agent/openai/openai_assistant_agent.py
• llama-index-legacy/llama_index/legacy/embeddings/azure_openai.py
• llama-index-legacy/llama_index/legacy/multi_modal_llms/azure_openai.py
• llama-index-integrations/embeddings/llama-index-embeddings-openai/llama_index/embeddings/openai/utils.py
• llama-index-integrations/llms/llama-index-llms-azure-openai/llama_index/llms/azure_openai/base.py

About Dosu
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[dosubot[bot]]

It seems like the core issue you're facing with the OpenAIAssistantAgent and your Azure OpenAI keys is not directly related to the API key's validity, since you've confirmed it works for other tasks within llama_index. The problem might stem from how the OpenAIAssistantAgent is implemented or how it interacts with Azure OpenAI services.

Given the error message about Assistants.create() not recognizing the file_ids argument, it's clear there's a discrepancy between the expected parameters and the ones you're providing. This suggests a potential version mismatch or an incorrect method usage according to the llama_index library's expectations.

Here's a streamlined approach to troubleshoot and potentially resolve your issue:

1. Ensure Compatibility: Verify that the version of llama_index you're using is compatible with the Azure OpenAI API version. It's possible that changes in the API or the library have introduced discrepancies in expected parameters or functionalities.

2. Review Documentation: Double-check the llama_index and Azure OpenAI documentation for any updates or changes in how API keys should be used or how assistants are created. There might be new guidelines or methods introduced that you need to follow.

3. Check Implementation: Re-examine your code to ensure you're not including file_ids as a parameter when creating an instance of OpenAIAssistantAgent. If your use case involves files, use the files parameter to specify file paths instead.

4. Environment Variables: Confirm that the OPENAI_API_KEY environment variable is correctly set in the execution environment of your application. This includes checking for any typos or issues in how the environment variable is being accessed in your code.

5. Direct API Key Usage: As you've tried passing the API key directly and encountered a different error, it suggests the issue might not be with the API key itself but with how the OpenAIAssistantAgent is being used or instantiated.

6. Contact Support: If after these steps the issue persists, consider reaching out to Azure support or the maintainers of the llama_index library for more direct assistance, as the problem might be specific to your account or the service configuration.

7. Debugging: Implement debugging steps to check if the API key is correctly recognized before making API calls. This can help identify if the issue lies with the API key recognition or elsewhere in your setup.

By focusing on these areas, you should be able to narrow down the cause of the issue. If there's any specific error message or behavior you observe after following these steps, sharing those details can help in providing more targeted advice.

Details

Sources

• llama-index-networks/examples/privacy_safe_retrieval/contributor-2/template.env.contributor.service
• llama-index-integrations/llms/llama-index-llms-openai/llama_index/llms/openai/utils.py
• llama-index-integrations/embeddings/llama-index-embeddings-openai/llama_index/embeddings/openai/utils.py
• llama-index-legacy/llama_index/legacy/embeddings/azure_openai.py
• llama-index-integrations/llms/llama-index-llms-azure-openai/llama_index/llms/azure_openai/base.py
• llama-index-integrations/multi_modal_llms/llama-index-multi-modal-llms-azure-openai/llama_index/multi_modal_llms/azure_openai/base.py
• llama-index-legacy/llama_index/legacy/llms/azure_openai.py
• docs/docs/examples/customization/llms/AzureOpenAI.ipynb
• llama-index-legacy/llama_index/legacy/multi_modal_llms/azure_openai.py
• llama-index-integrations/embeddings/llama-index-embeddings-azure-openai/llama_index/embeddings/azure_openai/base.py
• docs/docs/examples/llm/azure_openai.ipynb
• llama-index-integrations/agent/llama-index-agent-openai/llama_index/agent/openai/openai_assistant_agent.py
• llama-index-legacy/llama_index/legacy/agent/openai_assistant_agent.py

About Dosu
This response is meant to be useful and save you time. It is not meant to be a precise solution, but rather a starting point for your own research.

Help me be more useful! Please leave a 👍 if this is helpful and 👎 if it is irrelevant.

To continue the conversation, mention @dosu.

[mraguth]

Above is not clear and very generic or not related to my problem. Please help.

[dosubot[bot]]

The error you're encountering, "TypeError: Assistants.create() got an unexpected keyword argument 'file_ids'", indicates a specific issue with how the OpenAIAssistantAgent is being used in your code, particularly with the handling of files. The file_ids parameter should not be passed directly to the assistants.create() method. Instead, files need to be managed separately in a way that aligns with the OpenAI API's expectations.

Here's a focused approach to address your issue:

1. Process Files Correctly: Ensure that files are uploaded separately and their IDs are managed outside the assistants.create() call. Use a dedicated function to upload files to OpenAI, which will return a mapping of file IDs to file paths. This mapping can then be used as needed, but not as direct arguments to assistants.create().

2. Adjust Your Code: Remove any direct usage of file_ids as an argument in the OpenAIAssistantAgent.from_new method or any related method calls. If your implementation involves files, focus on handling them according to the pattern of uploading first and then using the returned file IDs appropriately.

By following these steps, you should be able to resolve the error and ensure your OpenAIAssistantAgent works as expected with Azure OpenAI keys. If the issue persists after making these adjustments, it may be beneficial to revisit the documentation or seek further assistance, focusing on the specific error messages and the context in which they occur.

Details

Sources

• [Question]: When customize the LLM, using VectorStoreIndex, it reports error
• llama-index-integrations/agent/llama-index-agent-openai/llama_index/agent/openai/openai_assistant_agent.py
• llama-index-integrations/agent/llama-index-agent-openai/pyproject.toml
• llama-index-integrations/embeddings/llama-index-embeddings-azure-openai/pyproject.toml
• llama-index-integrations/llms/llama-index-llms-azure-openai/pyproject.toml
• llama-index-integrations/multi_modal_llms/llama-index-multi-modal-llms-azure-openai/pyproject.toml
• llama-index-legacy/llama_index/legacy/agent/openai_assistant_agent.py
• llama-index-legacy/tests/llms/test_openai.py
• docs/docs/examples/llm/azure_openai.ipynb
• llama-index-integrations/embeddings/llama-index-embeddings-azure-openai/llama_index/embeddings/azure_openai/base.py
• llama-index-integrations/llms/llama-index-llms-azure-openai/llama_index/llms/azure_openai/base.py
• llama-index-legacy/llama_index/legacy/llms/azure_openai.py

About Dosu
This response is meant to be useful and save you time. It is not meant to be a precise solution, but rather a starting point for your own research.

Help me be more useful! Please leave a 👍 if this is helpful and 👎 if it is irrelevant.

To continue the conversation, mention @dosu.

[mraguth]

Like to see a human answer. Bot is repeating the same :-(

[johannes-bjorkdahl]

I'm encountering this issue as well. All these bot answers from github and the docs isn't helping at all..