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[Feature] v0.0.6 updates#14

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wangxingjun778 merged 3 commits intomainfrom
dev
Mar 20, 2026
Merged

[Feature] v0.0.6 updates#14
wangxingjun778 merged 3 commits intomainfrom
dev

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@wangxingjun778 wangxingjun778 merged commit be11dc3 into main Mar 20, 2026
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Summary of Changes

Hello, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request delivers a substantial update to the Sirchmunk project, advancing its core search engine capabilities and expanding its integration ecosystem. Key improvements focus on enabling seamless interaction with AI agents through OpenClaw, providing real-time feedback via a new streaming API, and enhancing conversational and document processing features. The changes are comprehensively documented across both English and Chinese guides, ensuring users can effectively leverage the new functionalities and updated configurations.

Highlights

  • Version Update: The project has been updated to version v0.0.6post1, reflecting significant new features and improvements.
  • OpenClaw Skill Integration: Sirchmunk can now be used as an OpenClaw skill, allowing OpenClaw-compatible agents to leverage its search capabilities via natural language. Dedicated documentation and examples have been added.
  • SSE Streaming API: A new Server-Sent Events (SSE) streaming API endpoint (/api/v1/search/stream) has been introduced for real-time progress logs and results during search operations.
  • Enhanced Search Capabilities: New features include multi-turn conversation support with context management, document summarization, and cross-lingual retrieval, expanding Sirchmunk's utility beyond basic search.
  • Configuration and API Refinements: New environment variables and API parameters have been added for chat history management, search concurrency, and more granular control over search behavior, replacing older parameters like keyword_levels with max_loops and return_cluster with return_context.
  • Docker and LLM Support Updates: Docker images have been updated to v0.0.6, and the documentation now includes resource limits for Docker runs. The list of supported OpenAI-compatible LLM providers has also been significantly expanded.

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