* feat: add MiniMax as a chat completion provider
Add MiniMax (https://www.minimax.io) as a first-class chat completion
provider. MiniMax already has TTS integration in SillyTavern; this
extends support to LLM chat completions via their OpenAI-compatible API.
Supported models:
- MiniMax-M2.5 (default) — 204K context
- MiniMax-M2.5-highspeed — same capability, faster inference
Key implementation details:
- Reuses existing SECRET_KEYS.MINIMAX (shared with TTS)
- API endpoint: https://api.minimax.io/v1
- Temperature clamped to (0.0, 1.0] as required by MiniMax API
- Returns hardcoded model list since MiniMax doesn't expose /v1/models
- Full UI integration: model selector, sampler parameters, streaming
Co-Authored-By: octo-patch <octo-patch@users.noreply.github.com>
* feat: upgrade MiniMax default model to M2.7
- Add MiniMax-M2.7 and MiniMax-M2.7-highspeed to model list
- Set MiniMax-M2.7 as default model
- Keep all previous models as alternatives
* feat: independent request function, vision support, temp clamping for MiniMax
- Extract sendMinimaxRequest() following Chutes pattern (PR #4844)
with function calling and JSON Schema structured output support
- Clamp temperature to (0.01, 1.0] on backend; limit frontend UI max to 1.0
- Enable image inlining for MiniMax M2.7 model
- Add MiniMax to slash-commands model selector and tokenizer mapping
- Add minimax_model to default preset
* feat: add VLM-based vision support for MiniMax M2.7
M2.7 does not natively accept image input. When images are detected
in messages, pre-process them via the MiniMax VLM endpoint
(/v1/coding_plan/vlm) to convert images to text descriptions before
sending to the chat completions API. Uses the same API key.
* feat: add M2-her model to MiniMax provider
M2-her is MiniMax's dialogue/roleplay-optimized model with 64K context
and 2048 max completion tokens. Text-only (no vision).
* feat: add MiniMax China endpoint (minimaxi.com) support
Add endpoint selector (Global/China) for MiniMax, mirroring the
SiliconFlow pattern. Users can now choose between api.minimax.io
(international) and api.minimaxi.com (China domestic).
* fix: merge consecutive same-role messages for MiniMax
MiniMax API rejects consecutive messages with the same role with
error 'invalid chat setting (2013)'. Merge them before sending.
* review: address PR feedback on MiniMax provider
Backend (src/endpoints/backends/chat-completions.js):
- Drop the entire MiniMax VLM image-preprocessing path; vision is no
longer advertised for this provider, so M2.7 messages now go straight
to /chat/completions without a separate VLM round-trip.
- Drop the json_schema -> response_format mapping (MiniMax does not
document structured-output support; relying on it was speculative).
- Drop the backend temperature clamp; the same clamp now lives in the
frontend so the wire payload matches what the user sees.
- Drop the MINIMAX branch in /status that returned a hard-coded model
list; the frontend hardcodes the same list and bypasses /status via
noValidateSources, so the round-trip was wasted.
- Add a streaming Transform + non-streaming helper that move
<think>...</think> blocks from delta.content / message.content to
reasoning_content. MiniMax M2.x emit chain-of-thought inline in
content; without this transform the raw <think> tags leak into the
rendered chat. Includes a state machine that holds back partial
marker bytes so a marker split across SSE chunks is still detected.
Frontend:
- public/scripts/openai.js: add MINIMAX to noValidateSources so the key
is accepted without a /models call; remove the dead saveModelList
branch; clamp temperature to (0.0, 1.0] in createGenerationParameters.
- public/scripts/reasoning.js: add MINIMAX to the non-streaming
reasoning_content extraction case (the backend transform now produces
this field for MiniMax responses).
- public/scripts/slash-commands.js: add MINIMAX to the /api enum and
add a MiniMax case to /api-url so users can switch endpoint by
command.
- public/scripts/custom-request.js: pass minimax_endpoint through the
override-payload merge alongside the other per-source endpoint fields.
- public/scripts/tokenizers.js: stop returning openai_model (which was
always a MiniMax model id and thus an unknown tokenizer); fall back
to gpt-3.5-turbo for a coarse but functional estimate.
- public/scripts/tool-calling.js: add MINIMAX to supportedSources so
function-calling settings are exposed.
- public/index.html: drop the "-- Connect to the API --" placeholder
option from the model select (the model list is hardcoded and always
populated); remove minimax from the vision data-source attributes
on the inline-media controls.
- public/img/minimax.svg: replace the multicolor brand SVG with a
single-color currentColor version that matches the other provider
icons in the connect panel.
* review: drop backend <think> parsing, defer to frontend
Per reviewer feedback: SillyTavern's reasoningHandler / reasoning_auto_parse
setting already extracts <think>...</think> blocks on the client side, so the
backend doesn't need to rewrite MiniMax responses. Removes the SSE Transform,
the non-streaming helper, and the corresponding case in reasoning.js.
* fix: remove isImageInliningSupported declaration for MINIMAX
* fix: remove MINIMAX from stream reasoning parsing
* fix: add to autoconnect logic
* fix: add missing MINIMAX models from docs
* fix: freq. and pres. pen aren't supported for MINIMAX
* fix: use clamp function for adjusting temperature
* fix: pass minimax_endpoint from connection profile to ChatCompletionService
* fix: update supported APIs in slash command documentation
* fix: replace bespoke merge with standard MERGE_TOOLS processing
* fix: add data-i18n attributes for headers
---------
Co-authored-by: octo-patch <octo-patch@users.noreply.github.com>
Co-authored-by: octo-patch <octo-patch@github.com>
Co-authored-by: Cohee <18619528+Cohee1207@users.noreply.github.com>
* feat: add SiliconFlow.cn endpoint support and embedding vectors
Chat completion:
- Add endpoint selection dropdown (Global/.com vs China/.cn) to existing
SiliconFlow provider, following the Z.AI endpoint pattern
- Backend switches API URL based on selected endpoint
- Add /api-url slash command support for endpoint switching
Embeddings:
- Add SiliconFlow as a vector/embedding source (OpenAI-compatible)
- Support both .com and .cn endpoints via siliconflow_endpoint setting
borrowed from the main connection panel (Vertex AI pattern)
- Superset model list with platform attribution (.cn) markers
- Models: Qwen3-Embedding (0.6B/4B/8B) + BGE/BCE models (.cn only)
* Add filter by models type
* Load embedding models from endpoint
* Improve api-url command declaration
* Support endpoint override in custom-request service
---------
Co-authored-by: Cohee <18619528+Cohee1207@users.noreply.github.com>
* Separate prompt-building functionality from request-sending functionality
* removing logs and clarifying comments
* separating parameter construction functionality to allow ConnectionManagerRequestService to use all other preset parameters
* fixing chat completion issues, adding documentation to new functions.
* Improving ConnectionManagerRequestService errors. Adding parseReasoningFromString option to override reasoning template.
* Adjusting TextCompletionService prompt formatting
* linting
* Use settingsToUpdate to convert from OAI preset to OAI settings.
* lint
* throw errors when profile ID not found
* Fix missed instances of global completion settings being used (CC and TC), replaced with optional argument. Specified typing for ChatCompletionSettings and TextCompletionSettings.
* Adjusting parameters of parseReasoningFromString and adding getReasoningTemplateByName
* using messages.role as a fallback for custom requests, fixing newline removal.
* parameters => settings
I like how it sounds better
* ditto
* You know I had to do it to 'em
* Update getCustomTokenBans
* Fix calculateLogitBias
* Fix param attributes
* Fix type checks
* Less strict role type on ChatCompletionMessage
* Add missing space
* fixing getChatCompletionModel to use an arbitrary chat completion settings object
* Fixing issues with preset overriding custom data passed.
* Pass model to createGenerationParameters externally
* Unify seed param handling for CHUTES
* Fix non-existing CC source
* Use strict comparison
* Use global settings as a base for generation parameters creation
* removing unnecessary handling of preset fields
* don't pass preset prompts, use the passed payload override messages
* refactoring text generation prompt building of last line
* Pass model to getReasoningEffort
* Pass model name to canPerformToolCalls
* Pass model to createTextGenGenerationData
---------
Co-authored-by: qvink <qvink@users.noreply.github.com>
Co-authored-by: Cohee <18619528+Cohee1207@users.noreply.github.com>
* Chat Completion: Reduce number of toggles in AI Response Configuration
* Consolidate migration logic
* Don't enable media inlining if image inlining was disabled
* Fix icons showing on media toggle off
* Update i18n
* Added structured output for common APIs
* eslint
* Added frontend impl
* Type name change
* Unprefix json_schema, apply review suggestions
* Add schema to generateQuietPrompt, add comments
* Prettify diff
* Extract JSON from Claude response
* Add structured gen for Mistral
* Hack to support schema for DeepSeek
* Hack JSON schema for AI21
* Add Groq structured gen
* Add JSON mode for pollinations
* Add JSON schema for perplexity
* Add JSON schema for AIML
* Using extractJsonFromData in custom-request, added google rules for flattenSchema
* Fix response parsing
* Fix Google
* Fixed json parse
* Expose generateRaw to getContext
---------
Co-authored-by: Cohee <18619528+Cohee1207@users.noreply.github.com>
* sendOpenAIRequest/getTextGenGenerationData methods are improved, now it can use custom API, instead of active ones
* Added missing model param
* Removed unnecessary variable
* active_oai_settings -> settings
* settings -> textgenerationwebui_settings
* Better presetToSettings names, simpler settings name in getTextGenGenerationData,
* Removed unused jailbreak_system
* Reverted most core changes, new custom-request.js file
* Forced stream to false, removed duplicate method, exported settingsToUpdate
* Rewrite typedefs to define props one by one
* Added extractData param for simplicity
* Fixed typehints
* Fixed typehints (again)
---------
Co-authored-by: Cohee <18619528+Cohee1207@users.noreply.github.com>
Cohee