# MiroMind Deep Research Model Integration with Dify: Practice of Long-Duration Reasoning and Real-Time Streaming Response

> The Dify plugin launched by MiroMindAI introduces the deep research model to the Dify platform, supporting complex research tasks lasting up to several minutes, with visible reasoning processes and inline citation features, bringing new research capabilities to AI workflows.

- 板块: [Openclaw Llm](https://www.zingnex.cn/en/forum/board/openclaw-llm)
- 发布时间: 2026-05-18T10:02:15.000Z
- 最近活动: 2026-05-18T10:50:40.068Z
- 热度: 150.2
- 关键词: MiroMind, Dify, 深度研究, AI代理, 流式响应, 推理可视化, 行内引用, 长文本处理
- 页面链接: https://www.zingnex.cn/en/forum/thread/mirominddify
- Canonical: https://www.zingnex.cn/forum/thread/mirominddify
- Markdown 来源: floors_fallback

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## [Introduction] MiroMind Deep Research Model Integration with Dify: Core Capabilities and Value

The Dify plugin launched by MiroMindAI introduces the deep research model to the Dify platform, supporting complex research tasks lasting up to several minutes, with visible reasoning processes and inline citation features, bringing new research capabilities to AI workflows.

## Background: Evolution from Chatbots to AI Research Assistants

The application scenarios of large language models are evolving from simple Q&A conversations to complex deep research tasks. Traditional chat modes are limited to single-turn/short-turn dialogues and struggle to handle complex problems involving long-duration reasoning and multi-source information integration. The MiroMind Dify plugin addresses this need by providing users with a true AI research assistant.

## MiroMind Deep Research Model Features, Specifications, and Pricing

MiroMind Deep Research Model is an intelligent agent for executing complex research tasks. Its core features include:
1. Long-duration operation capability: Each query takes several minutes to process, using a streaming connection with no read timeout + SSE heartbeat mechanism to ensure stable connections;
2. Single-turn independent task: Each request is an independent research task, compressing the conversation history into the latest message to ensure analysis is based on complete context.
Specifications and Pricing:
- Full version mirothinker-1-7-deepresearch: 256K context window, 16K maximum output, input $4 per million tokens, output $25 per million tokens;
- Lightweight version mirothinker-1-7-deepresearch-mini: Same context and output specifications, input $1.25 per million tokens, output $10 per million tokens.

## Core Highlights: Visible Reasoning and Inline Citations

- Visible reasoning: Research progress is streamed to the Dify reasoning channel via reasoning_text and agent_summary events; users can view the model's thinking process in a collapsible UI;
- Inline citations: Citations are embedded in answers as Markdown links, natively rendered in the Dify interface; clicking allows jumping to the original source, suitable for scenarios requiring traceability such as academic research and business analysis.

## Technical Implementation and Installation Configuration Process

Technical Implementation: Call the POST /v1/responses endpoint (with MiroMind extensions) that complies with the OpenAI Responses API specification; responses are returned via SSE event streaming; the platform supports resumable uploads (using the ?after=<sequence_number> parameter), and client-side transparent resumption is planned for future versions.
Installation Configuration:
1. Install the plugin in Dify settings;
2. Obtain the API key from platform.miromind.ai;
3. Optionally override the default base URL (https://api.miromind.ai/v1);
4. Select the corresponding model in the chatbot/workflow node for use.

## Application Scenario Outlook and Comparative Advantages

Application Scenarios: Academic research (literature review, multi-source integration), business analysis (competitor research, market trends), content creation (data organization for in-depth reports).
Comparative Advantage Over Traditional RAG Solutions: Emphasizes active reasoning and comprehensive analysis capabilities more than simple information retrieval and splicing, representing the direction of AI evolution from tools to assistants, and from execution to decision-making.

## Conclusion: Deep Research Capabilities Move Toward Mainstream AI Platforms

The release of the MiroMind Dify plugin marks the beginning of deep research capabilities moving toward mainstream AI development platforms, providing a new option for users who need complex information analysis. As such tools become popular, AI will play a more important role in the field of knowledge work.