API通信遇到错误:peer closed connection without sending complete message body (incompletechunked read)[BUG] 简洁阐述问题 / Concise description of the issue

[panda4444ssdfs]

问题描述 / Problem Description 用简洁明了的语言描述这个问题 / Describe the problem in a clear and concise manner.

复现问题的步骤 / Steps to Reproduce

1. 执行 '...' / Run '...'
2. 点击 '...' / Click '...'
3. 滚动到 '...' / Scroll to '...'
4. 问题出现 / Problem occurs

预期的结果 / Expected Result 描述应该出现的结果 / Describe the expected result.

实际结果 / Actual Result 描述实际发生的结果 / Describe the actual result.

环境信息 / Environment Information

• langchain-ChatGLM 版本/commit 号：(例如：v2.0.1 或 commit 123456) / langchain-ChatGLM version/commit number: (e.g., v2.0.1 or commit 123456)
• 是否使用 Docker 部署（是/否）：是 / Is Docker deployment used (yes/no): yes
• 使用的模型（ChatGLM2-6B / Qwen-7B 等）：ChatGLM-6B / Model used (ChatGLM2-6B / Qwen-7B, etc.): ChatGLM2-6B
• 使用的 Embedding 模型（moka-ai/m3e-base 等）：moka-ai/m3e-base / Embedding model used (moka-ai/m3e-base, etc.): moka-ai/m3e-base
• 使用的向量库类型 (faiss / milvus / pg_vector 等)： faiss / Vector library used (faiss, milvus, pg_vector, etc.): faiss
• 操作系统及版本 / Operating system and version:
• Python 版本 / Python version:
• 其他相关环境信息 / Other relevant environment information:

附加信息 / Additional Information 添加与问题相关的任何其他信息 / Add any other information related to the issue.

[dosubot[bot]]

The error you're encountering, where the peer closes the connection without sending the complete message body, can be due to several factors. Here are some targeted steps to troubleshoot and potentially resolve the issue:

1. Check Payload Size Limit: Adjust the configuration for Uvicorn and FastAPI to allow larger payloads if the payload size might be too large.

2. Ensure Correct Parsing and Validation: Use Pydantic models in FastAPI for input validation to ensure the endpoint is correctly parsing and validating the input data.

3. Optimize Text Modification Logic or Increase Timeout Settings: If processing timeouts are a concern, consider optimizing the text modification logic or increasing timeout settings.

4. Check NLTK Resources: Ensure all required NLTK resources are available and handle missing resources gracefully.

5. Check Server Logs: Investigate server logs for any errors or warnings that could provide clues to the problem.

6. Monitor System Resources: Keep an eye on system resources during requests to identify if resource limitations are causing the issue.

7. Perform Network Diagnostics: Look into potential connectivity issues that might be affecting communication.

8. Check Knowledge Base Content: Ensure the knowledge base content does not exceed the token input limit of the model.

9. Install 'markupsafe' and 'jinja2' Modules: Installing these modules might help resolve the issue.

If these steps do not resolve the issue, please provide more details about your environment, such as the operating system, Python version, and any other relevant information to help diagnose the problem further.

Sources

• 使用agent问答报错
• [BUG] 简洁阐述问题 / 我经常遇到API通信错误，这是什么原因导致的呢？
• 使用知识库问答 问完问题后API通信遇到错误
• 报错：API通信遇到错误
• 科学上网，用DuckDuckGo搜索，提示API通信遇到错误：peer closed connection without sending complete message body (incomplete chunked read)
• 搜索引擎問答 - API通信遇到错误：peer closed connection without sending complete message body (incomplete chunked read)
• [BUG] 简洁阐述问题 / Concis我安装后，LLM问答没问题，知识库不能问答，也不能上传文件，API通信遇到错误：peer closed connection without sending complete message body (incomplete chunked read)e description of the issue，请教如何查找服务器端口，做映射
• server/api_allinone_stale.py
• webui_pages/dialogue/dialogue.py
• configs/init.py

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