MiniMax-AI / MiniMax-AI/MiniMax-M3

[Feature Request] Agent capabilities manifest + rollout channel protocol

Open
#27 0 comments 0 reactions 0 assignees View on GitHub

Nobody has claimed this yet.

enhancement
Dominant language
No language data
Stars
487
Forks
59
PR merge metrics
No merged PRs in 30d

Description

Capability area

Agent harness / Agent Teams

What does M2.7 fail to do for you?

Workload: M3 (or M2.7) running inside host applications — web chat, Android app, IDE plugins, CLI — where the model is wrapped in an agent harness.

What M2.7 fails to do today:

It cannot tell — and cannot be told — which of its own capabilities are actually available to the current user/session. There is no protocol for the host application to advertise to the model:

  • which tools are enabled, behind a flag, gradually rolling out, or disabled
  • which surface (web / Android / iOS / IDE / CLI) and app version is hosting it
  • which account tier, region, or experiment bucket the user is in
  • when a capability's status changes mid-session

Concrete failure (real example):

User (Android app, free tier, EU region): "Generate a 10-second video of a cat playing piano."
Agent: "Sorry, that feature is not available in your account."
User: opens a bug report.
Reality: video gen is in gradual rollout at 12% and will reach them in ~3 weeks.

Every disabled feature surfaces as a bug. The user has no way to know whether it's:

  • a bug,
  • a region/tier lock,
  • an experiment-bucket exclusion,
  • a gradual rollout,
  • a deprecation,
  • or just "not enabled on this surface."

What I want M3 to support:

Pair the model with a small, model-agnostic Agent Capabilities Protocol:

  1. GET /v1/agent/manifest at session start — static JSON listing
    model, host_context, account, and capabilities[] with status
    (available / behind_flag / gradual_rollout:<pct> / deprecated
    / disabled) and a human-readable reason + expected_full_rollout.
  2. A live channel (SSE / WebSocket) emitting CHANGELOG_DIFF events
    when a capability's status changes mid-session.
  3. An SDK helper like
    agent.capabilities().tool("gen_videos").status() so the model can
    reason about availability before calling a tool.
  4. A host-UI surface that mirrors rollout state to the end user
    ("Video gen is in gradual rollout for your account — ETA 2026-08-15").

Why this matters for M3 specifically:

M3 is positioned as a 1M-context agentic model running across many
surfaces. Without a standardized capability-discovery protocol, every
host reimplements the same rollout logic, every user gets a different
"not available" message, and every bug report is filed against a
feature the user was never supposed to see yet.

The protocol itself is model-agnostic and would also benefit M2.5 /
M2.7 / future releases. Happy to relocate this to a different repo
(e.g. Mini-Agent or a platform repo) if the team prefers.

What would "good" look like in M3?

I am happy to follow up with a PR for the schema doc (JSON schema +
worked example) and a reference SDK helper, once the team signals
this is in scope. If MiniMax-M3 is not the right home for a
model-agnostic protocol, please point me to the preferred repo and
I will relocate.

References
  • Related: this is conceptually similar to MCP toolAnnotations /
    tool.listChanged notifications, extended to cover rollout state.
  • No prior issue found on MiniMax-AI/MiniMax-M3 (filed on 2026-07-22).

Contributor guide

No contributing guide indexed for this repository

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

The payload names no existing files or tests. Start by defining the GET /v1/agent/manifest contract and capability status model, then review the SSE/WebSocket CHANGELOG_DIFF channel, SDK helper, and host-UI requirements. Done means an agreed protocol schema, worked example, and reference SDK helper, but scope and repository placement still need maintainer confirmation.

Written by the indexing model from the issue text.

Assessment

Domain
api, backend-api-design
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Quiet
Clarity
Mostly clear
Newbie friendliness
35/100

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.