council-session

name	council-session
description	Multi-model consensus via subagent DAG. Use when you need diverse model perspectives on complex architectural decisions, high-stakes code changes, or ambiguous trade-offs.

Council Session

Run a multi-model council to get diverse AI perspectives on a complex problem.

When to Use

• Critical architectural decisions needing diverse model perspectives
• High-stakes code changes where consensus reduces risk
• Ambiguous problems where multi-model disagreement is informative
• Security-sensitive design reviews

When NOT to Use

• Straightforward tasks you're confident about
• Speed matters more than confidence
• Routine implementation work

Pre-built Agents

The following agents are pre-configured with different models in ~/.kiro/agents/:

Agent	Model	Role
councillor-a	claude-opus-4.6	Strong reasoning, deep analysis
councillor-b	glm-5	Different training data, different biases
councillor-c	claude-opus-4.5	Balanced reasoning, prior generation perspective
council-master	claude-opus-4.6	Synthesizes all councillor outputs

All councillors are read-only (can read files, grep, glob but cannot edit). The council-master is pure synthesis.

To change models, re-run ~/.kiro/generate-configs.sh after editing the model values in the script.

How to Run a Council

You (code_supervisor) construct a 4-stage subagent call:

• 3 parallel councillor stages (no dependencies — they run simultaneously)
• 1 council-master stage that depends_on all 3 councillors

Example Subagent Call

{
  "task": "<describe the problem/decision here>",
  "stages": [
    {
      "name": "councillor-a",
      "role": "councillor-a",
      "prompt_template": "{task}"
    },
    {
      "name": "councillor-b",
      "role": "councillor-b",
      "prompt_template": "{task}"
    },
    {
      "name": "councillor-c",
      "role": "councillor-c",
      "prompt_template": "{task}"
    },
    {
      "name": "council-master",
      "role": "council-master",
      "depends_on": ["councillor-a", "councillor-b", "councillor-c"],
      "prompt_template": "Synthesize the optimal response for:\n{task}"
    }
  ]
}

Each councillor's system prompt is already defined in its .md file. The prompt_template only needs the problem description — use {task} to pass through the overall task.

Result Handling

Present the council master's synthesized response verbatim to the user. Do not re-summarize — the council master has already produced the final answer.