hyw 0.0.2

Heuristic Yield Websearch - LLM-powered web search assistant

HYW — Heuristic Yield Websearch

An LLM-powered terminal assistant that searches, cross-validates, then answers.

English · 中文

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Why

LLMs have a knowledge cutoff. Ask "what happened today" and they can only guess.

HYW lets the model decide what to search, how many rounds, and how to cross-validate — then gives you the answer. Not a simple "search and paste" — it's a multi-round heuristic search loop.

Features

• Multi-round autonomous search — The model breaks down questions, crafts search queries, and validates results across up to 6 iterations
• XML tag tool calling — No function calling dependency; works with any LLM provider
• Streaming output — Think and display in real-time; search progress visible as it happens
• Pluggable tool backends — Search / page extract / render are selected by capability, not hard-coded per module
• Built-in websearch service — Ships with ddgs, Jina AI search/page extraction, and non-browser Markdown render
• Rich terminal UI — Gradient titles, Markdown rendering, live spinners
• Multi-turn conversation — Context auto-carried; toggle mode with arrow keys
• Any model via LiteLLM — OpenAI / Anthropic / Google / OpenRouter / local models

Quickstart

# Default install: CLI + ddgs + Jina AI + non-browser render
pip install hyw

# Add entari plugin support
pip install "hyw[entari]"

# Interactive mode
hyw

# Single question
hyw -q "What's the latest in tech news?"

The hyw command is available in the default install.

Configuration

Config file: ~/.hyw/config.yml. Use /config in interactive mode to edit directly. An example based on the multi-model layout lives at config.example.yml. In interactive mode, ← / → switches models, and ↑ / ↓ toggles multi-turn vs new session. Legacy single-model fields (model / api_key / api_base) still work.

# Shared defaults for profiles that don't override them
api_key: sk-or-xxx
api_base: https://openrouter.ai/api/v1

# Active model for startup / single-shot mode
active_model: openrouter/google/gemini-3.1-flash-lite-preview

models:
  - model: openrouter/google/gemini-3.1-flash-lite-preview
  - model: openrouter/moonshotai/kimi-k2.5
  - model: cerebras/gpt-oss-120b
    api_key: csk-xxx
    api_base: https://api.cerebras.ai/v1

# Preferences
language: zh-CN
max_rounds: 6
headless: true

tools:
  index:
    ddgs:
      search: core.search_ddgs:ddgs_search
    jina_ai:
      search: core.search_jina_ai:jina_ai_search
      page_extract: core.search_jina_ai:jina_ai_page_extract
    render:
      render: core.render_non_browser:render_markdown_non_browser_result
  config:
    jina_ai:
      page_extract:
        prefer_free: true
  use:
    search: ddgs
    page_extract: jina_ai
    render: render

# Custom system prompt (appended)
system_prompt: ""

How It Works

User Question
  │
  ▼
┌─────────────────────────────────────┐
│  LLM analyzes & decomposes question │
│  Outputs <search>/<wiki> XML tags   │
└──────────────┬──────────────────────┘
               │
               ▼
┌─────────────────────────────────────┐
│  Concurrent search (up to 4/round)  │
│  DuckDuckGo → Parse → Structured   │
└──────────────┬──────────────────────┘
               │
               ▼
┌─────────────────────────────────────┐
│  LLM validates results & decides:   │
│  ├─ Insufficient → new queries, go  │
│  └─ Sufficient  → final answer      │
└─────────────────────────────────────┘

Commands

Command	Description
/config	Open config file in editor
/stats	Show session statistics
/exit	Exit
← / →	Switch active model
↑ / ↓	Toggle Multi Turn / New Session mode

Project Structure

core/
├── config.py               # Model config + tool capability registry
├── main.py                 # Conversation loop, tool calls, LLM interaction
├── cli.py                  # Rich terminal UI, streaming output
├── __main__.py             # python -m core entry point
├── search_ddgs.py          # DDGS search provider
├── search_jina_ai.py       # Jina AI search + page extract provider
├── render_non_browser.py   # WeasyPrint-based markdown render provider
├── web_search.py           # WebToolSuite + service runtime
└── render.py               # Standalone markdown render service

Requirements

• Python ≥ 3.12
• Default deps: litellm · pyyaml · loguru · rich · prompt-toolkit · ddgs · httpx · markdown · Pygments · matplotlib · weasyprint · PyMuPDF · Pillow
• entari: arclet-alconna · arclet-entari

Roadmap

• ...
• ...
• ...

Contributing

Issues and PRs welcome.

License

MIT

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_{Built with curiosity and caffeine.}