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Ask Council

Ask LLM Council a question directly from Telegram/chat — get the chairman's synthesized answer witho

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Downloads: 31,986 downloads
Version: 1.0.0

Overview

Ask LLM Council a question directly from Telegram/chat — get the chairman's synthesized answer without opening.

Complete Documentation

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Ask Council — Quick Headless Access

Get LLM Council's synthesized answer without leaving your chat.

Usage

text

/council Should I invest in Tesla right now?

Returns the Chairman's synthesized answer after all models have debated.

How It Works

Sends your question to the LLM Council backend
Waits for Stage 1 (all models respond)
Waits for Stage 2 (models rank each other)
Returns Stage 3 (Chairman's final synthesis)

Takes 30-60 seconds — models need time to deliberate.

Prerequisites

LLM Council backend must be running:

text

/install-llm-council

Two Ways to Use LLM Council

Mode	Best For	Command
Quick answer (this skill)	Fast decisions, mobile, casual questions	/council "question"
Full discussion (web UI)	Deep research, exploring disagreements, seeing all model responses	/install-llm-council then open browser

Example

Input:

text

/council Is Python or Go better for a new microservice?

Output:

text

Council is deliberating... (this may take 30-60s)
................

═══════════════════════════════════════════════════════════════
                    CHAIRMAN'S ANSWER
═══════════════════════════════════════════════════════════════

Based on the council's deliberation, Python is recommended for rapid 
prototyping and team velocity, while Go excels for high-throughput 
services where performance is critical...

═══════════════════════════════════════════════════════════════

View full discussion: http://10.0.1.184:5173

Agent Instructions

When user says /council or "ask council":

bash

bash ~/.openclaw/skills/ask-council/ask-council.sh "<question>"

The script handles:

Creating a conversation
Starting the council run
Polling until complete
Extracting the chairman's answer
Showing progress dots while waiting

Files

File	Purpose
SKILL.md	Documentation
ask-council.sh	Main script — queries API and returns answer
_meta.json	Skill metadata

Notes

Timeout: 120 seconds
If backend isn't running, suggests starting it
Always includes link to full web UI for detailed exploration
Creates a new conversation each time (no history)

Installation

Terminal bash


openclaw install ask-council

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💻Code Examples

/council Should I invest in Tesla right now?

council-should-i-invest-in-tesla-right-now.txt

Returns the **Chairman's synthesized answer** after all models have debated.

## How It Works

1. Sends your question to the LLM Council backend
2. Waits for Stage 1 (all models respond)
3. Waits for Stage 2 (models rank each other)
4. Returns Stage 3 (Chairman's final synthesis)

**Takes 30-60 seconds** — models need time to deliberate.

## Prerequisites

LLM Council backend must be running:

/install-llm-council

install-llm-council.txt

## Two Ways to Use LLM Council

| Mode | Best For | Command |
|------|----------|---------|
| **Quick answer** (this skill) | Fast decisions, mobile, casual questions | `/council "question"` |
| **Full discussion** (web UI) | Deep research, exploring disagreements, seeing all model responses | `/install-llm-council` then open browser |

## Example

**Input:**

View full discussion: http://10.0.1.184:5173

view-full-discussion-http10011845173.txt

## Agent Instructions

When user says `/council <question>` or "ask council":

example.txt

Council is deliberating... (this may take 30-60s)
................

═══════════════════════════════════════════════════════════════
                    CHAIRMAN'S ANSWER
═══════════════════════════════════════════════════════════════

Based on the council's deliberation, Python is recommended for rapid 
prototyping and team velocity, while Go excels for high-throughput 
services where performance is critical...

═══════════════════════════════════════════════════════════════

View full discussion: http://10.0.1.184:5173