Openai:Unrecognized request argument supplied:stream_options

[115341chenzehao]

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Dify version

0.6.8

Cloud or Self Hosted

Self Hosted (Docker)

Steps to reproduce

Bug
1.When I upgraded from version 0.6.6 to 0.6.8, I encountered the following error message when using OpenAI:

2.Upon comparing version 0.6.6 with 0.6.8, it was found that in the OpenAI 'llm.py' there was additional handling for 'stream_option'. After commenting this out and repackaging, OpenAI could be used normally again.

Additional questions
1."After installing 'mysql-connector-python', does Dify's 'code execution' support connecting to a database?"

✔️ Expected Behavior

No response

❌ Actual Behavior

No response

[dosubot]

To address the "Unrecognized request argument supplied: stream_options" error after upgrading to Dify version 0.6.8, it's important to align your implementation with the updated OpenAI integration requirements. This error indicates that stream_options might not be recognized due to changes in the API or its integration method. Review the latest Dify documentation or release notes for any updates on OpenAI integration, especially regarding the handling of streaming responses. The error could be related to incorrect or unsupported handling of streaming options, such as stream and stream_mode_delimiter, in the OpenAI llm.py file. Ensure that any deprecated or altered features are correctly modified or removed in your code.

Regarding the capability of Dify's 'code execution' feature to support database connections through 'mysql-connector-python', Dify's environment, as described, supports running code with limitations, specifically disallowing network/IO operations. This means that operations requiring network access or external database connections, such as connecting to a MySQL database, would not be supported within Dify's code execution feature due to these restrictions. For database interactions, you'll need to consider alternative approaches that comply with Dify's operational constraints or use external services that can be called from your application outside of the Dify code execution context.

Details

Sources

• api/config.py
• api/core/tools/provider/builtin/code/tools/simple_code.yaml
• api/tests/integration_tests/model_runtime/openai_api_compatible/test_llm.py
• api/core/model_runtime/model_providers/openai/llm/llm.py

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[115341chenzehao]

To address the "Unrecognized request argument supplied: stream_options" error after upgrading to Dify version 0.6.8, it's important to align your implementation with the updated OpenAI integration requirements. This error indicates that stream_options might not be recognized due to changes in the API or its integration method. Review the latest Dify documentation or release notes for any updates on OpenAI integration, especially regarding the handling of streaming responses. The error could be related to incorrect or unsupported handling of streaming options, such as stream and stream_mode_delimiter, in the OpenAI llm.py file. Ensure that any deprecated or altered features are correctly modified or removed in your code.

Regarding the capability of Dify's 'code execution' feature to support database connections through 'mysql-connector-python', Dify's environment, as described, supports running code with limitations, specifically disallowing network/IO operations. This means that operations requiring network access or external database connections, such as connecting to a MySQL database, would not be supported within Dify's code execution feature due to these restrictions. For database interactions, you'll need to consider alternative approaches that comply with Dify's operational constraints or use external services that can be called from your application outside of the Dify code execution context.

Details

To continue the conversation, mention @dosu.

Can the agent of dify connect to the database in other ways and perform query operations on the database

[dosubot]

To address the issue with the "Unrecognized request argument supplied: stream_options" error after upgrading to Dify version 0.6.8, it's essential to ensure that your implementation complies with the updated OpenAI integration requirements. This involves reviewing the latest Dify documentation or release notes for any changes related to OpenAI integration, particularly the handling of streaming responses. Make sure to adjust your code to remove or modify any deprecated or altered features according to the new specifications.

Regarding connecting to a database, Dify's code execution environment, particularly with the simple_code tool, is designed to run code with certain limitations, notably the restriction against network/IO operations. This means direct database connections, such as those to a MySQL database using 'mysql-connector-python', are not supported within Dify's sandboxed code execution feature.

For database interactions, consider setting up an external service, like a REST API, that handles the database operations. This service can then interact with your Dify application in a manner that adheres to the sandbox's constraints. The Dify documentation provides guidance on using external services or APIs for database interactions, which can be a viable workaround for integrating database operations within the limitations of Dify's code execution environment.

It's also beneficial to explore the Dify documentation for examples and further details on how to effectively use external services or APIs, including the "Backend-as-a-Service" API, to facilitate database interactions or other operations that are not directly supported within Dify's sandboxed environment.

Details

Sources

• en/features/workflow/nodes/code.md
• api/core/tools/provider/builtin/code/tools/simple_code.yaml
• api/core/model_runtime/model_providers/openai_api_compatible/openai_api_compatible.yaml
• api/.env.example
• en/features/external_data_tool.md
• en/features/extension/api_based_extension/README.md
• en/user-guide/launching-dify-apps/developing-with-apis/README.md

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.

[115341chenzehao]

Version "0.6.8" includes the ssrf_proxy feature, what is its purpose? This feature is not for network connections.

[dosubot]

The "ssrf_proxy" feature introduced in Dify version 0.6.8 serves as a security measure to mitigate Server-Side Request Forgery (SSRF) attacks by funneling external requests through a controlled proxy server. This proxy is specifically designed to prevent unauthorized access to internal resources or sensitive endpoints by sanitizing outbound requests. It's integrated within Dify's architecture to enhance security, particularly in microservices environments where services communicate with external resources.

This feature is configured to operate within its own isolated Docker service, ensuring that it can be tightly controlled and monitored independently of other services. It's part of Dify's broader security infrastructure, aimed at protecting code execution environments from making unsafe network requests. The proxy is also set up on a dedicated Docker network that is internal, meaning it's designed to be inaccessible from the outside, further securing the system against SSRF attacks.

For detailed configuration and integration of the "ssrf_proxy" feature, you can refer to the docker/docker-compose.yaml file in the Dify repository, which outlines how it's set up within the Dify ecosystem.

Details

Sources

• docker/docker-compose.yaml
• docker/volumes/ssrf_proxy/squid.conf
• api/core/helper/ssrf_proxy.py
• docker/docker-compose.middleware.yaml

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.

[115341chenzehao]

Can you help me consult the relevant developers? I'd like to know if Code Execution supports connecting to external databases

[dosubot]

@takatost, this one's a bit out of my wheelhouse, could you step in and provide your guidance?

Details

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.

[crazywoola]

For additional question, please see this thread #3580 @115341chenzehao

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