mm-consult

name	mm:consult
description	Asks other LLMs through OpenRouter with Mirror context
user-invocable	true

Consult

Sends prompts with Mirror identity context to other models through OpenRouter.

Syntax

/mm:consult <family> [tier] ["question"]
/mm:consult credits

• family: gemini, grok, deepseek, openai, claude, llama, or a direct model ID such as google/gemini-2.5-pro
• tier: lite (default), mid, flagship
• question present: send it directly
• question missing: synthesize the current conversation and create the prompt

Flow

Explicit Question

Analyze the message to determine persona and journey using the same Mirror routing.

uv run python -m memory consult FAMILY TIER "QUESTION" \
  [--persona PERSONA] [--journey JOURNEY] [--org]

Examples:

• /mm:consult gemini lite "draft an opening for this article" -> uv run python -m memory consult gemini lite "draft an opening for this article" --persona writer
• /mm:consult deepseek "is this design overengineered?" -> uv run python -m memory consult deepseek "is this design overengineered?" --persona engineer

The script prints the response, cost, and balance. Always show the complete response to the user without summarizing or omitting it. Any Claude comments come after the full response.

No Question

When the user omits the question, they want a second opinion on the current conversation. Synthesize only Mirror Mode content: reflection, strategy, and content. Ignore Builder Mode content such as code, debugging, and project architecture.

1. Synthesize the context into a self-contained prompt: topic, goal, relevant journey/attachments/references, what was discussed or decided, and what the user is asking now.
2. Formulate a clear request for the external LLM.
3. Send it as an ask:

uv run python -m memory consult FAMILY TIER "SYNTHESIZED_PROMPT" \
  [--persona PERSONA] [--journey JOURNEY] [--org]

The synthesized prompt must be self-contained. The external LLM has no access to the conversation, so include concrete details instead of vague references like "as discussed."

Example prompt:

I am preparing episode 5 of the Reflexo series, about leadership and complexity.
The episode covers [key script points]. I have already suggested topics A, B, and C.

Suggest 3 alternative article topics for software leaders, keeping depth without academicism.

Credits

uv run python -m memory consult credits

Shows OpenRouter usage and remaining balance.

Available Families And Tiers

Family	Lite	Mid	Flagship
gemini	gemini-2.5-flash-lite	gemini-2.5-flash	gemini-2.5-pro
grok	grok-3-mini	grok-3	grok-4.1-fast
deepseek	deepseek-chat	deepseek-v3.2	deepseek-r1
openai	gpt-5.4-nano	gpt-5.4-mini	gpt-5.4
claude	haiku-4.5	sonnet-4.6	opus-4.6
llama	llama-3.3-70b-instruct	llama-4-scout	llama-4-maverick