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feat(minimax): add image generation provider and trim model catalog to M2.7 (#54487)

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* feat(minimax): add image generation and TTS providers, trim TUI model list

Register MiniMax image-01 and speech-2.8 models as plugin providers for
the image_generate and TTS tools. Both resolve CN/global base URLs from
the configured model endpoint origin.

- Image generation: base64 response, aspect-ratio support, image-to-image
  via subject_reference, registered for minimax and minimax-portal
- TTS: speech-2.8-turbo (default) and speech-2.8-hd, hex-encoded audio,
  voice listing via get_voice API, telephony PCM support
- Add MiniMax to TTS auto-detection cascade (after ElevenLabs, before
  Microsoft) and TTS config section
- Remove MiniMax-VL-01, M2, M2.1, M2.5 and variants from TUI picker;
  keep M2.7 and M2.7-highspeed only (backend routing unchanged)

* feat(minimax): trim legacy model catalog to M2.7 only

Cherry-picked from temp/feat/minimax-trim-legacy-models (949ed28).
Removes MiniMax-VL-01, M2, M2.1, M2.5 and variants from the model
catalog, model order, modern model matchers, OAuth config, docs, and
tests. Keeps only M2.7 and M2.7-highspeed.

Conflicts resolved:
- provider-catalog.ts: removed MINIMAX_TUI_MODELS filter (no longer
  needed since source array is now M2.7-only)
- index.ts: kept image generation + speech provider registrations
  (added by this branch), moved media understanding registrations
  earlier (as intended by the cherry-picked commit)

* fix(minimax): update discovery contract test to reflect M2.7-only catalog

Cherry-picked from temp/feat/minimax-trim-legacy-models (2c750cb).

* feat(minimax): add web search provider and register in plugin entry

* fix(minimax): resolve OAuth credentials for TTS speech provider

* MiniMax: remove web search and TTS providers

* fix(minimax): throw on empty images array after generation failure

* feat(minimax): add image generation provider and trim catalog to M2.7 (#54487) (thanks @liyuan97)

---------

Co-authored-by: tars90percent <tars@minimaxi.com>
Co-authored-by: George Zhang <georgezhangtj97@gmail.com>
This commit is contained in:
liyuan97
2026-03-26 00:29:35 +08:00
committed by GitHub
parent 7cc86e9685
commit e2e9f979ca
21 changed files with 247 additions and 192 deletions
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5
docs/help/faq.md
View File

@@ -2153,9 +2153,8 @@ Quick answers plus deeper troubleshooting for real-world setups (local dev, VPS,
1. Upgrade to a current OpenClaw release (or run from source `main`), then restart the gateway.
2. Make sure MiniMax is configured (wizard or JSON), or that a MiniMax API key
exists in env/auth profiles so the provider can be injected.
3. Use the exact model id (case-sensitive): `minimax/MiniMax-M2.7`,
`minimax/MiniMax-M2.7-highspeed`, `minimax/MiniMax-M2.5`, or
`minimax/MiniMax-M2.5-highspeed`.
3. Use the exact model id (case-sensitive): `minimax/MiniMax-M2.7` or
`minimax/MiniMax-M2.7-highspeed`.
4. Run:
```bash

68
docs/providers/minimax.md
View File

@@ -8,16 +8,12 @@ title: "MiniMax"
# MiniMax
OpenClaw's MiniMax provider defaults to **MiniMax M2.7** and keeps
**MiniMax M2.5** in the catalog for compatibility.
OpenClaw's MiniMax provider defaults to **MiniMax M2.7**.
## Model lineup
- `MiniMax-M2.7`: default hosted text model.
- `MiniMax-M2.7-highspeed`: faster M2.7 text tier.
- `MiniMax-M2.5`: previous text model, still available in the MiniMax catalog.
- `MiniMax-M2.5-highspeed`: faster M2.5 text tier.
- `MiniMax-VL-01`: vision model for text + image inputs.
## Choose a setup
@@ -80,24 +76,6 @@ Configure via CLI:
contextWindow: 200000,
maxTokens: 8192,
},
{
id: "MiniMax-M2.5",
name: "MiniMax M2.5",
reasoning: true,
input: ["text"],
cost: { input: 0.3, output: 1.2, cacheRead: 0.03, cacheWrite: 0.12 },
contextWindow: 200000,
maxTokens: 8192,
},
{
id: "MiniMax-M2.5-highspeed",
name: "MiniMax M2.5 Highspeed",
reasoning: true,
input: ["text"],
cost: { input: 0.3, output: 1.2, cacheRead: 0.03, cacheWrite: 0.12 },
contextWindow: 200000,
maxTokens: 8192,
},
],
},
},
@@ -128,46 +106,6 @@ Example below uses Opus as a concrete primary; swap to your preferred latest-gen
}
```
### Optional: Local via LM Studio (manual)
**Best for:** local inference with LM Studio.
We have seen strong results with MiniMax M2.5 on powerful hardware (e.g. a
desktop/server) using LM Studio's local server.
Configure manually via `openclaw.json`:
```json5
{
agents: {
defaults: {
model: { primary: "lmstudio/minimax-m2.5-gs32" },
models: { "lmstudio/minimax-m2.5-gs32": { alias: "Minimax" } },
},
},
models: {
mode: "merge",
providers: {
lmstudio: {
baseUrl: "http://127.0.0.1:1234/v1",
apiKey: "lmstudio",
api: "openai-responses",
models: [
{
id: "minimax-m2.5-gs32",
name: "MiniMax M2.5 GS32",
reasoning: true,
input: ["text"],
cost: { input: 0, output: 0, cacheRead: 0, cacheWrite: 0 },
contextWindow: 196608,
maxTokens: 8192,
},
],
},
},
},
}
```
## Configure via `openclaw configure`
Use the interactive config wizard to set MiniMax without editing JSON:
@@ -190,7 +128,7 @@ Use the interactive config wizard to set MiniMax without editing JSON:
- Model refs are `minimax/<model>`.
- Default text model: `MiniMax-M2.7`.
- Alternate text models: `MiniMax-M2.7-highspeed`, `MiniMax-M2.5`, `MiniMax-M2.5-highspeed`.
- Alternate text model: `MiniMax-M2.7-highspeed`.
- Coding Plan usage API: `https://api.minimaxi.com/v1/api/openplatform/coding_plan/remains` (requires a coding plan key).
- Update pricing values in `models.json` if you need exact cost tracking.
- Referral link for MiniMax Coding Plan (10% off): [https://platform.minimax.io/subscribe/coding-plan?code=DbXJTRClnb&source=link](https://platform.minimax.io/subscribe/coding-plan?code=DbXJTRClnb&source=link)
@@ -214,8 +152,6 @@ Make sure the model id is **case‑sensitive**:
- `minimax/MiniMax-M2.7`
- `minimax/MiniMax-M2.7-highspeed`
- `minimax/MiniMax-M2.5`
- `minimax/MiniMax-M2.5-highspeed`
Then recheck with: