entari-plugin-hyw 4.0.11

Entari plugin for HYW - Use large language models to interpret chat messages

entari-plugin-hyw

简体中文

An Entari plugin for chat-oriented agent workflows.

Status

Usable and under active development.

What It Does

• Chat Q&A command entry (question_command, default /q).
• Reply-based multi-turn continuation.
• Optional image context ingestion.
• Web search tool integration (web_search) with time and region controls.
• Optional card-style rendering for Markdown-heavy outputs.

Architecture

flowchart LR
    A[Command Input] --> B[FlowRunner]
    B --> C[Agent Session]
    C --> D[Policy-driven Tool Calls]
    D --> E[web_search / web_fetch]
    E --> C
    C --> F[final_response]
    F --> G{render?}
    G -->|yes| H[Card Image]
    G -->|no| I[Plain Text]

Configuration

Configure plugins.entari_plugin_hyw in entari.yml:

plugins:
  entari_plugin_hyw:
    question_command: "/q"
    web_command: "/w"
    headless: false
    quote: false
    theme_color: "#ef4444"

    api_key: "YOUR_API_KEY"
    base_url: "https://openrouter.ai/api/v1"
    model_name: "gpt-4o"
    temperature: 0.5

Key	Default	Notes
api_key	null	LLM API key.
base_url	https://openrouter.ai/api/v1	LLM endpoint root.
model_name	gpt-4o	Main model ID.
temperature	0.5	Sampling temperature.
question_command	/q	Main command trigger.
web_command	/w	Reserved field; currently not wired to a separate handler.
headless	false	Browser/render headless mode.
quote	false	Reply with quote context.
theme_color	#ef4444	Rendered card accent color.

Search Policy Notes

• Model-side time_range convention: a/d/w/m/y.
• Runtime strips unsupported filters before request.
• At least one query should use d or w for freshness checks when searching.
• kl is optional; set only when region precision is needed.

License

MIT