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langgenius / dify

Dify is an open-source LLM app development platform. Dify's intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features and more, letting you quickly go from prototype to production.
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Openai:Unrecognized request argument supplied:stream_options #4453

Closed 115341chenzehao closed 2 months ago

115341chenzehao commented 4 months ago

Self Checks

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: 1

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. 2

Additional questions 1."After installing 'mysql-connector-python', does Dify's 'code execution' support connecting to a database?" 3

✔️ Expected Behavior

No response

❌ Actual Behavior

No response

dosubot[bot] commented 4 months ago

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](https://github.com/langgenius/dify/blob/main/api/config.py) - [api/core/tools/provider/builtin/code/tools/simple_code.yaml](https://github.com/langgenius/dify/blob/main/api/core/tools/provider/builtin/code/tools/simple_code.yaml) - [api/tests/integration_tests/model_runtime/openai_api_compatible/test_llm.py](https://github.com/langgenius/dify/blob/main/api/tests/integration_tests/model_runtime/openai_api_compatible/test_llm.py) - [api/core/model_runtime/model_providers/openai/llm/llm.py](https://github.com/langgenius/dify/blob/main/api/core/model_runtime/model_providers/openai/llm/llm.py)
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115341chenzehao commented 4 months ago

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

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

dosubot[bot] commented 4 months ago

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](https://github.com/langgenius/dify-docs/blob/main/en/features/workflow/nodes/code.md) - [api/core/tools/provider/builtin/code/tools/simple_code.yaml](https://github.com/langgenius/dify/blob/main/api/core/tools/provider/builtin/code/tools/simple_code.yaml) - [api/core/model_runtime/model_providers/openai_api_compatible/openai_api_compatible.yaml](https://github.com/langgenius/dify/blob/main/api/core/model_runtime/model_providers/openai_api_compatible/openai_api_compatible.yaml) - [api/.env.example](https://github.com/langgenius/dify/blob/main/api/.env.example) - [en/features/external_data_tool.md](https://github.com/langgenius/dify-docs/blob/main/en/features/external_data_tool.md) - [en/features/extension/api_based_extension/README.md](https://github.com/langgenius/dify-docs/blob/main/en/features/extension/api_based_extension/README.md) - [en/user-guide/launching-dify-apps/developing-with-apis/README.md](https://github.com/langgenius/dify-docs/blob/main/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 commented 4 months ago

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

dosubot[bot] commented 4 months ago

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](https://github.com/langgenius/dify/blob/main/docker/docker-compose.yaml) - [docker/volumes/ssrf_proxy/squid.conf](https://github.com/langgenius/dify/blob/main/docker/volumes/ssrf_proxy/squid.conf) - [api/core/helper/ssrf_proxy.py](https://github.com/langgenius/dify/blob/main/api/core/helper/ssrf_proxy.py) - [docker/docker-compose.middleware.yaml](https://github.com/langgenius/dify/blob/main/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 commented 4 months ago

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

dosubot[bot] commented 4 months ago

@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.

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crazywoola commented 3 months ago

For additional question, please see this thread https://github.com/langgenius/dify/discussions/3580 @115341chenzehao

xzqy88888 commented 3 months ago

您好！邮件已经收到！

LeoQuote commented 3 months ago

Deleting the OpenAI configuration and re-adding an OpenAI-API-compatible model can resolve the issue. However, the problem lies in the process of using 'OpenAI-API-compatible' models, where model parameters can be cumbersome to fill out, such as setting the context size, vision support, and so on. Each model also requires manual entry of an API key and host, which cannot be added in bulk, making the process quite laborious. Fortunately, we don't use many models, just 3 to 5, and once filled out, there is no need for further action.

删除 openai 配置, 重新添加 OpenAI-API-compatible 模型即可解决相关问题, 但问题是使用 OpenAI-API-compatible 时, 模型参数填起来比较累, context 大小, vision 支持, 等等选项都需要手动填写, 并且每一个模型都需要填写 api key 和 host, 不能批量添加, 比较累. 不过还好我们用的不多, 也就是 3-5 个模型, 填完也就不需要再操作了.

lanyuer commented 2 months ago

同样遇到第一个问题