If an API response is not json, but an image or stream, Will Langchain support storing them into a file object?

[Nidhipriya8]

I am using OpenAPI chain, I have an API, which I want to request using the chain.The response of the API is not json but an image.

Questions:

1. Is there a possibilty to store the response into a File Object.Also, will token limitations be a problem for such resposnes?

[dosubot[bot]]

🤖

Hello,

Based on the current implementation of the LangChain framework, it appears that it only supports JSON media types. This is indicated by the line of code in the api_models.py file:

_SUPPORTED_MEDIA_TYPES = ("application/json",)

This means that the framework does not currently support handling non-JSON responses from APIs, such as images or streams.

As for your question about storing the response into a File Object, the current version of LangChain does not seem to have this functionality built-in. However, it's possible to extend the framework to handle this, although it would require a good understanding of the codebase and potentially significant changes.

Regarding token limitations, it would depend on the specifics of the API you're using. If the API has a limit on the size of the response or the number of requests, then it could potentially be a problem. However, this is not a limitation of the LangChain framework itself, but rather the API.

I hope this answers your questions. If you have any more questions or need further clarification, feel free to ask.

Best regards,
Dosu

Sources

• libs/langchain/langchain/tools/openapi/utils/api_models.py

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[Nidhipriya8]

@dosu-bot,

The file provided here-libs/langchain/langchain/tools/openapi/utils/api_models.py indicates media type is getting checked only for request and not response.

[dosubot[bot]]

🤖

Hello,

Thank you for your detailed questions. Let's address them one by one.

1. Handling APIs that return images: As per the current design of the LangChain framework, it does not inherently support handling APIs that return images instead of JSON. The requests_wrapper object, which is used to make the API calls, is a TextRequestsWrapper object. This suggests that it is designed to handle text-based responses, such as JSON, rather than binary data like images.

2. Extending the framework to support image responses: While the framework does not support this out of the box, it could potentially be extended to support this. You would need to create a new class, similar to TextRequestsWrapper, that can handle image responses. This class would need to have methods for making the API request and converting the response into a File Object or some other suitable format for storing image data.

3. Token limitations: If the API has a limit on the size of the response or the number of requests, this would need to be handled separately. The LangChain framework does not appear to have built-in support for handling such limitations. You would need to implement this functionality yourself, perhaps by adding checks for the response size or the number of requests made within a certain time period, and taking appropriate action if the limits are exceeded.

Please note that these changes would require a good understanding of the LangChain framework and the APIs you are working with, as well as proficiency in Python programming. In the context shared, there is a tool named _get_dalle_image_generator which uses DallEAPIWrapper to generate images from a text description. This suggests that the framework can be extended to handle APIs that return images.

I hope this helps. If you have any further questions, feel free to ask.

Best,
Dosu

Sources

• libs/langchain/langchain/chains/api/base.py
• libs/langchain/langchain/agents/load_tools.py
• libs/langchain/langchain/utilities/requests.py

---

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