Introduction

In the DeepSeek Harness (DSH) plugin ecosystem, generic web search plugins usually only perform keyword retrieval. When users are developing a specific project (for example, writing a Rust CLI), generic search results often contain a large amount of irrelevant information rather than the specific technical documentation or solutions they need. dsh-context-aware-search aims to solve this pain point by reading the session context to rewrite queries and improve the relevance of search results.

Plugin Overview

This is a DeepSeek Harness (DSH) plugin maintained by user helibeiqi. Its core role is to transform the web_search interface from simple “keyword bombing” into a “context-aware research assistant”. It reads the current session, rewrites queries, reranks search results and marks credibility, while supporting one-click source summarization.

Core Capabilities

The plugin provides the following main features:

  1. Context-Aware Query Rewriting: Reads the last N messages in the session, extracts the language, framework, or library currently being used, and expands the original query (for example, expanding await error to Python asyncio await common error solutions).
  2. Result Reranking: Uses the TF-IDF algorithm to score results, reranks them based on the similarity between the query and the context, and ensures the most relevant results appear first.
  3. One-Click Source Summarization: Provides the web_summarize tool, automatically fetches a specified URL or the top N links from search results, and generates a structured Markdown summary containing key points, key data, and source links.
  4. Source Credibility Labels: Based on domain rules (such as .edu, .gov, and official documentation), marks each result with high, medium, or low credibility.
  5. Multi-Backend Automatic Failover: Supports DuckDuckGo, Bing, and SearXNG, with an automatic fallback mechanism.
  6. Zero Configuration: Uses DuckDuckGo by default and can start without an API key.

Installation and Activation

Before installation, confirm that the DeepSeek Harness version is 0.1.0-rc.6, because the plugin is bound to this runtime version.

The installation command is as follows:

dsh-context-aware-search@0.1.1

Note: It is strictly prohibited to install @latest. This plugin is built for DeepSeek Harness 0.1.0-rc.6; a version mismatch may cause search and fetch functionality to behave abnormally.

Usage

You can directly use search commands in the conversation; the plugin automatically handles context rewriting and result reranking.

Example 1: Search and Summarize

web_summarize query="Rust error handling best practices" topN=3

Example 2: Summarize a Specific Document

web_summarize url="https://doc.rust-lang.org/book/ch09-00-error-handling.html"

Workflow

  1. The plugin reads the last contextWindow messages (default: 8).
  2. It analyzes the tech stack in the context and rewrites the original query.
  3. It calls multiple backends to search (DuckDuckGo -> Bing -> SearXNG).
  4. It uses TF-IDF to rerank results and mark credibility.
  5. It returns Markdown content containing the rewritten query explanation and a ranking table of results (with credibility labels).

Notes

  • Dependency Environment: This plugin depends on the DeepSeek npm registry and requires the corresponding access permissions.
  • Algorithm Limitations: The reranking feature does not depend on an embedding model; it only uses TF-IDF for keyword extraction and scoring.
  • Tech Stack: It uses only TypeScript and the platform-native fetch, with no external model dependencies, and runs lightweight.

Summary

By introducing session context, dsh-context-aware-search significantly improves the precision of web search in technical scenarios. It is suitable for developers who need to continuously obtain domain-specific information (such as programming documentation and technical blogs) within a conversation flow. For more details, see the Plugin Directory or the GitHub Repository.