OpenAI API Invalid Organisation/Mismatch Error 401

[s25roy]

Really excited to use Langflow but extremely frustrating to be stuck at the starting API stage, tried debugging for 2 days but no luck. Please help if you can!

1. I am certain I am using the correct API key - when I modify any character in the global variable the OpenAI API key is rejected.
2. OpenAI account belongs to only one 'default' organisation ('personal') on OpenAI platform
3. Checked the OpenAI forums - it clearly says if you belong to only a single organisation there is no need in API requests to pass any organisation header
4. This seems specific to Langflow in some way - another app MindMac works perfectly fine with the same API key
5. In v1.0.19.post1 the 401 error was 'organisation mismatch' now after updating to v1.0.19.post2 it has changed to 'no such organisation: org-*.' I cannot find the source of 'org-asterisk' in the code, advanced or openai_constants.py file
6. Using Langflow in a Conda virtual env - hope this is not the cause.
7. Tried different permutations with both project and legacy User API keys in OpenAI Platform, no change in error

[dosubot[bot]]

Hey @s25roy! I'm here to help you with any bugs, questions, or contributions. Let's tackle this together!

It seems like you're encountering an issue with organization handling in Langflow when using the OpenAI API. Here are some steps and insights that might help resolve the problem:

1. Organization Header: As you mentioned, if you belong to only one organization, you typically don't need to pass an organization header. However, Langflow might be handling this differently. Ensure that no organization header is being set in your requests if it's not needed.

2. Environment Variables: Check if the LANGFLOW_STORE_ENVIRONMENT_VARIABLES is set to true in your .env file. This setting can affect how environment variables, including the OpenAI API key, are processed ^[1].

3. Code Changes: There might have been changes between versions v1.0.19.post1 and v1.0.19.post2 that affect organization handling or error messages, but specific details weren't found in the repository ^[1].

4. Custom Headers: Langflow uses custom headers in API requests, which might include organization information. This logic is implemented in the ApiInterceptor function in the src/frontend/src/controllers/API/api.tsx file. Ensure that no unnecessary headers are being added ^[2].

5. Conda Environment: While using a Conda virtual environment shouldn't inherently cause this issue, ensure that all dependencies are correctly installed and that there are no conflicts.

6. Debugging: Since the error message changed after updating, it might be helpful to check the release notes or changelog for any documented changes related to API key or organization handling, although specific details weren't found ^[1].

If these steps don't resolve the issue, consider reverting to the previous version where the error was different, as a temporary workaround, while further investigating the changes made in the update.

To continue talking to Dosu, mention @dosu.

[dosubot[bot]]

The build_embeddings function in the OpenAIEmbeddingsComponent class is responsible for creating an instance of OpenAIEmbeddings. The line organization=self.openai_organization sets the organization parameter for the OpenAIEmbeddings instance using the value stored in self.openai_organization.

The self.openai_organization attribute is linked to a user input field defined as a MessageTextInput with the name "openai_organization". This input field is part of the inputs list in the OpenAIEmbeddingsComponent class, allowing users to specify the OpenAI organization they want to use for the API request. Here's how it's defined:

MessageTextInput(
    name="openai_organization",
    display_name="OpenAI Organization",
    advanced=True,
)

Users can input the organization header through this field in the user interface. If the field is not set or is set incorrectly, it might default to an unintended value like "org-*." If you belong to only one organization, you might not need to set this field at all, or you can set it to None to avoid passing an unnecessary organization header ^[1][2].

To continue talking to Dosu, mention @dosu.

[s25roy]

The build_embeddings function in the OpenAIEmbeddingsComponent class is responsible for creating an instance of OpenAIEmbeddings. The line organization=self.openai_organization sets the organization parameter for the OpenAIEmbeddings instance using the value stored in self.openai_organization.

The self.openai_organization attribute is linked to a user input field defined as a MessageTextInput with the name "openai_organization". This input field is part of the inputs list in the OpenAIEmbeddingsComponent class, allowing users to specify the OpenAI organization they want to use for the API request. Here's how it's defined:

MessageTextInput(
    name="openai_organization",
    display_name="OpenAI Organization",
    advanced=True,
)

@dosu so if I understand correctly, the above should enable an input field under advanced named as "OpenAI Organization" but when I click on Advanced or switch to code for the LLM in the Langflow canvas, there is no such field for input anywhere

[dosubot[bot]]

The MessageTextInput for the openai_organization field is indeed intended to create an input field under the "Advanced" section. However, if you're not seeing this field in the Langflow UI, it could be due to how advanced fields are configured to be displayed. In Langflow, advanced fields might be hidden by default or require specific settings to be visible.

The configuration for the openai_organization field includes the advanced: true setting, which means it is categorized as an advanced input. This could affect its visibility in the UI, depending on how the UI is set up to handle advanced fields ^[1][2][3].

To troubleshoot this, you might want to check if there are any settings or toggles in the Langflow UI that control the visibility of advanced fields. Additionally, ensure that there are no conditions in the code that might be preventing this field from being displayed.

To continue talking to Dosu, mention @dosu.

[s25roy]

The build_embeddings function in the OpenAIEmbeddingsComponent class is responsible for creating an instance of OpenAIEmbeddings. The line organization=self.openai_organization sets the organization parameter for the OpenAIEmbeddings instance using the value stored in self.openai_organization.
The self.openai_organization attribute is linked to a user input field defined as a MessageTextInput with the name "openai_organization". This input field is part of the inputs list in the OpenAIEmbeddingsComponent class, allowing users to specify the OpenAI organization they want to use for the API request. Here's how it's defined:

MessageTextInput(
    name="openai_organization",
    display_name="OpenAI Organization",
    advanced=True,
)

@dosu what is the actual file name in the langflow folder where OpenAIEmbeddingsComponent and MessageTextInput can be found?

[dosubot[bot]]

The actual file name in the Langflow folder where OpenAIEmbeddingsComponent and MessageTextInput can be found is openai.py ^[1].

To continue talking to Dosu, mention @dosu.

[s25roy]

I found the source of the error: I had earlier set a .env file for access through a Jupyter notebook in JupyterLab and moved the .env file to a different directory. The .env file had an OpenAI API key and OPENAI_ORGANIZATION="org-*" value. I lost track of the file and couldn't find it, thinking it had been removed. Checked using the find . -name '*.env' command in terminal and it located the .env file in my conda env folder. This was presumably passing the header through the Langflow OpenAI Model and overriding any other default setting. Deleting the .env file solved the issue and the model builds with a response from gpt-4o when prompted.