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[GH-ISSUE #21178] bug: Pipes: Broken RAG Access & Inconsistent Task Payloads for Custom Agents Pipe for GPT 5.2 #34940
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Reference: github-starred/open-webui#34940
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Originally created by @Soliver84 on GitHub (Feb 5, 2026).
Original GitHub issue: https://github.com/open-webui/open-webui/issues/21178
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Installation Method
Pip Install
Open WebUI Version
v.0.7.2
Ollama Version (if applicable)
No response
Operating System
Windows Server 2022
Browser (if applicable)
No response
Confirmation
README.md.Expected Behavior
When using a Pipe Function (Manifold) to integrate a custom model (e.g., an Agent acting as "GPT-5.2"):
RAG Access: The model should be able to execute the system tool query_knowledge_files (passed via tools) to retrieve chunks from the active Knowledge Base, just like native models do.
Task Handling: Background tasks (Title Generation, Tag Generation, Follow-up Questions) should send a consistent payload to the Pipe, specifically including the input field as required by the OpenAI Responses API schema (and OpenWebUI's own _run_task_model_request helper).
Model IDs: When OpenWebUI calls the Pipe model (e.g., for a task), it should strip the internal manifold prefix or the Pipe framework should handle the prefixed ID automatically, so external API calls don't fail with model_not_found.
Actual Behavior
RAG Failure: The Pipe receives the tool definition for query_knowledge_files, but when the model attempts to call it (via tools or event_call), the execution fails or returns no data. The agent effectively has no access to the uploaded documents.
Task Crashes: Background tasks crash with ValueError: Task request missing 'input' content for Responses API. The payload sent to the Pipe contains messages but lacks the input field required by the internal helper function.
Model ID Error: During tasks, OpenWebUI sends the full prefixed ID (e.g., openai_responses_manifold_main_suche.gpt-5.2-thinking-high). Passing this ID to the OpenAI API results in 400 Bad Request: model_not_found.
Steps to Reproduce
Setup: Create a new Function (Pipe) in OpenWebUI using the openai_responses template or a custom Agent script.
Configuration: Configure the Pipe to act as a Manifold (Model), e.g., "GPT-5.2".
RAG Test:
Upload a document to the Knowledge Base.
Activate the Knowledge Base in a chat with the Pipe Model.
Ask a question about the document.
Result: The model cannot read the document (Tool execution fails or returns empty).
Task Test:
Send a message in the chat.
Wait for Title Generation or click "Generate Tags".
Result: Check the Logs. The task fails with ValueError: Task request missing 'input'.
Result 2: If input is patched manually, the API call fails with model_not_found because the model ID includes the Manifold prefix.
Logs & Screenshots
File "/app/backend/open_webui/routers/tasks.py", line 312, in generate_follow_ups
return await generate_chat_completion(request, form_data=payload, user=user)
...
ValueError: Task request missing 'input' content for Responses API.
aiohttp.client_exceptions.ClientResponseError: 400, message='Bad Request', url='https://api.openai.com/v1/responses'
RuntimeError: 400 Bad Request: {"error": {"message": "The requested model 'openai_responses_manifold_main_suche.gpt-5.2-thinking-high' does not exist.", "type": "invalid_request_error", "param": "model", "code": "model_not_found"}}
Additional Information
Additional Information
I have developed a workaround script (V19) that manually patches these issues:
It strips the model prefix.
It copies messages to input for tasks.
It implements a complex "RAG Pass-Through" logic to handle query_knowledge_files.
However, these should be handled natively by the OpenWebUI Pipe/Manifold architecture to allow developers to build robust Agents without hacking the pipe() method extensively.
@pr-validator-bot commented on GitHub (Feb 5, 2026):
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bug:,feat:,docs:).Please update your issue title to include one of the following prefixes:
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bug: Login fails when using special characters in password@Soliver84 commented on GitHub (Feb 5, 2026):
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@Soliver84 commented on GitHub (Feb 5, 2026):
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