* feat: upgrade MiniMax default model to M3
Add MiniMax-M3 as the new default and prune deprecated older
versions (M2.5/M2.5-highspeed/M2.1/M2) from the model catalog.
M2.7 (and M2.7-highspeed) is retained as the legacy compatible
option for users who pin to it.
Updated:
- api/config.py: _FALLBACK_MODELS adds minimax/MiniMax-M3 (placed
before M2.7 so the dropdown surfaces it first)
- api/config.py: _PROVIDER_MODELS['minimax'] adds M3 first, removes
M2.5/M2.5-highspeed/M2.1
- api/config.py: _PROVIDER_MODELS['minimax-cn'] adds M3 first,
removes M2.5/M2.1/M2
- tests/test_minimax_provider.py: updated CN catalog assertions
to match the new {M3, M2.7} list
API URL and TTS configuration are unchanged.
Co-Authored-By: Octopus <liyuan851277048@icloud.com>
* fix(models): register openai-api as first-class picker provider
* fix(models): detect OPENAI_API_KEY as openai-api, not bare openai (#3443 Codex follow-up)
Codex review found #3444 added the openai-api picker entry but the env-detection
side still did detected_providers.add('openai') for OPENAI_API_KEY. The agent
registry has only openai-api and openai-codex (no bare openai), so a env-only
OPENAI_API_KEY setup emitted @openai: picker entries the agent can't resolve on
the send path. Detect openai-api to match the registry. Adds a regression test.
* docs(changelog): v0.51.223 — re-stamp keep-set (#3443 openai-api + #3374 MiniMax-M3); dropped #3289 + #3264 to hold per Codex
---------
Co-authored-by: octo-patch <octo-patch@github.com>
Co-authored-by: Octopus <liyuan851277048@icloud.com>
Co-authored-by: Rod Boev <rod.boev@gmail.com>
Co-authored-by: nesquena-hermes <[email protected]>
