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deepresearch conversation

Deep ReSearch Conversation is provided by Baidu for multi-round streaming conversations with "Deep Research" agents. "In-depth research" is a long-process task involving multi-step reasoning and execution, which is different from the ordinary "question-and-answer". A dialogue that requires the user to repeatedly verify and correct it until a satisfactory answer is reached.

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Requirements

Target platform: OpenClaw
Install method: Manual import
Extraction: Extract archive
Prerequisites: OpenClaw
Primary doc: SKILL.md

Package facts

Download mode: Yavira redirect
Package format: ZIP package
Source platform: Tencent SkillHub
What's included: SKILL.md, _meta.json, scripts/deepresearch_conversation.py

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Release facts

Source: Tencent SkillHub
Verification: Indexed source record
Version: 1.1.2

Provenance

Publisher: ide-rea
Source page: View original listing
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Documentation

ClawHub primary doc Primary doc: SKILL.md 10 sections Open source page

Deep Research Conversation

This skill allows OpenClaw agents to conduct in-depth research discussions with users on a given topic. The API Key is automatically loaded from the OpenClaw config — no manual setup is needed.

API Table

namepathdescriptionDeepresearchConversation/v2/agent/deepresearch/runMulti-round streaming deep research conversation (via Python script)ConversationCreate/v2/agent/deepresearch/createCreate a new conversation session, returns conversation_idFileUpload/v2/agent/file/uploadUpload a file for the conversationFileParseSubmit/v2/agent/file/parse/submitSubmit an uploaded file for parsingFileParseQuery/v2/agent/file/parse/queryQuery the status of a file parsing task

Path A: Topic discussion without files

Call DeepresearchConversation directly with the user's query. A new conversation is created automatically.

Path B: Topic discussion with files

Call ConversationCreate to get a conversation_id. Call FileUpload with the conversation_id to upload files. Call FileParseSubmit with the returned file_id. Poll FileParseQuery every few seconds until parsing succeeds. Call DeepresearchConversation with the query, conversation_id, and file_ids.

Multi-round conversation rules

The DeepresearchConversation API is a SSE streaming interface that returns data incrementally. After the first call, you must pass conversation_id in all subsequent calls. If the response contains an interrupt_id (for "demand clarification" or "outline confirmation"), the next call must include that interrupt_id. If the response contains a structured_outline, present it to the user for confirmation/modification, then pass the final outline in the next call. Keep calling DeepresearchConversation iteratively until the user is satisfied with the result.

ConversationCreate API

Parameters no parameters Execute shell curl -X POST "https://qianfan.baidubce.com/v2/agent/deepresearch/create" \ -H "X-Appbuilder-From: openclaw" \ -H "Authorization: Bearer $BAIDU_API_KEY" \ -H "Content-Type: application/json" \ -d '{}'

FileUpload API

Parameters agent_code: Fixed value "deepresearch" (required) conversation_id: From ConversationCreate response (required) file: Local file binary (mutually exclusive with file_url). Max 10 files. Supported formats: Text: .doc, .docx, .txt, .pdf, .ppt, .pptx (txt ≤ 10MB, pdf ≤ 100MB/3000 pages, doc/docx ≤ 100MB/2500 pages, ppt/pptx ≤ 400 pages) Table: .xlsx, .xls (≤ 100MB, single Sheet only) Image: .png, .jpg, .jpeg, .bmp (≤ 10MB each) Audio: .wav, .pcm (≤ 10MB) file_url: Public URL of the file (mutually exclusive with file) Local file upload curl -X POST "https://qianfan.baidubce.com/v2/agent/file/upload" \ -H "Authorization: Bearer $BAIDU_API_KEY" \ -H "Content-Type: multipart/form-data" \ -H "X-Appbuilder-From: openclaw" \ -F "agent_code=deepresearch" \ -F "conversation_id=$conversation_id" \ -F "file=@local_file_path" File URL upload curl -X POST "https://qianfan.baidubce.com/v2/agent/file/upload" \ -H "Authorization: Bearer $BAIDU_API_KEY" \ -H "Content-Type: multipart/form-data" \ -H "X-Appbuilder-From: openclaw" \ -F "agent_code=deepresearch" \ -F "conversation_id=$conversation_id" \ -F "file_url=$file_url"

FileParseSubmit API

Parameters file_id: From FileUpload response (required) Execute shell curl -X POST "https://qianfan.baidubce.com/v2/agent/file/parse/submit" \ -H "Authorization: Bearer $BAIDU_API_KEY" \ -H "Content-Type: application/json" \ -H "X-Appbuilder-From: openclaw" \ -d '{"file_id": "$file_id"}'

FileParseQuery API

Parameters task_id: From FileParseSubmit response (required) Execute shell curl -X GET "https://qianfan.baidubce.com/v2/agent/file/parse/query?task_id=$task_id" \ -H "Authorization: Bearer $BAIDU_API_KEY" \ -H "X-Appbuilder-From: openclaw"

DeepresearchConversation API

Parameters query: The user's question or research topic (required) conversation_id: Optional on first call (auto-generated). Required on subsequent calls. file_ids: List of parsed file IDs (optional, only when discussing files) interrupt_id: Required when responding to "demand clarification" or "outline confirmation" from previous round. Found in content.text.data of the previous SSE response. structured_outline: The research report outline. Required on subsequent calls if the previous round generated one. Structure: { "title": "string", "locale": "string", "description": "string", "sub_chapters": [ { "title": "string", "locale": "string", "description": "string", "sub_chapters": [] } ] } version: "Lite" (faster, within 10 min) or "Standard" (deeper, slower). Default: "Standard". Execute shell python3 scripts/deepresearch_conversation.py '{"query": "your question here", "version": "Standard"}' Example with all parameters python3 scripts/deepresearch_conversation.py '{"query": "the question", "file_ids": ["file_id_1"], "interrupt_id": "interrupt_id", "conversation_id": "conversation_id", "structured_outline": {"title": "Report Title", "locale": "zh", "description": "desc", "sub_chapters": [{"title": "Chapter 1", "locale": "zh", "description": "chapter desc", "sub_chapters": []}]}, "version": "Standard"}'

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Package contents

Included in package

1 Docs1 Scripts1 Config

SKILL.md Primary doc
scripts/deepresearch_conversation.py Scripts
_meta.json Config