* feat: support GPT-5.6 model family
* test: cover GPT-5.6 SDK validation
* fix: canonicalize GPT-5.6 Sol alias
* fix: complete GPT-5.6 alias lookups
---------
Co-authored-by: 杨慎 <117187635+cosarah@users.noreply.github.com>
* feat(usage): add usage normalization, pricing, model-fetch, balance, storage
Foundational layer for token-plan usage tracking (cc-switch-modeled):
- lib/usage/normalize.ts: AI SDK v6 usage → four-class token shape
- lib/usage/pricing.ts + defaults: per-class USD pricing table
- lib/server/model-fetch.ts: /models candidate-URL multi-fallback (ported)
- lib/usage/balance-providers.ts: built-in balance queries + detection
- lib/server/usage-storage.ts: fire-and-forget jsonl logging to data/usage
All pure/storage logic covered by vitest (32 tests).
* feat(usage): capture token usage at the callLLM/streamLLM chokepoint
- callLLM records result.usage before returning
- streamLLM wraps onFinish to record totalUsage on stream completion,
preserving any caller-supplied onFinish
- provider/model derived from the model instance (no route changes)
- fs-backed storage imported dynamically; fire-and-forget, never throws
- include_usage is already sent by @ai-sdk/openai, so streaming is covered
* feat(usage): add probe-models, balance, and usage API routes
- POST /api/provider/probe-models: discover chat models via /models with
candidate fallback; SSRF-guarded; filters non-chat ids; 401/404 typed
- POST /api/provider/balance: built-in balance detection + billing fallback
- GET /api/usage: aggregate jsonl by model/day/source with costIncomplete flag
Verified e2e against the live MAIC gateway: 16 chat models (6 filtered),
balance detected, and a real callLLM writes a costed usage row.
* feat(settings): add token-plan preset picker to provider dialog
- lib/config/token-plan-presets.ts: data-driven vendor presets (Huawei/MiniMax/
Xiaomi token plans, OpenRouter/SiliconFlow gateways, DeepSeek/GLM/Qwen/Hunyuan/
Doubao direct) with baseURL, protocol, optional modelsUrl, category
- add-provider-dialog: '选择厂商/自定义' tabs; picking a preset auto-fills
baseURL+protocol+modelsUrl, custom tab unchanged
- ProviderSettings.modelsUrl carries the optional /models override
- i18n keys added across all 8 locales
Verified in-browser: preset picker renders grouped by category.
* feat(settings): add Fetch Models button and balance bar to provider panel
- 拉取模型: probes /models, merges discovered ids into the model list
(dedupe, keeps manual additions), with success/no-endpoint/auth messages
- 查询余额: queries /api/provider/balance, renders a balance bar or a
'check console' hint when unsupported
- index.tsx: handleModelsFetched merges probe results into provider config
- i18n keys across all 8 locales; removed a now-unused eslint-disable
Verified in-browser against MAIC gateway: 16 models fetched, balance shown.
* feat(settings): add usage dashboard to System Settings
- usage-dashboard.tsx: echarts dual-axis daily trend (tokens + cost),
totals cards, by-model table, refresh; reads GET /api/usage
- mounted at the top of GeneralSettings (系统设置)
- honest disclaimer + costIncomplete marker when a model lacks pricing
- i18n keys across all 8 locales
Verified in-browser: shows 1 request / 31 tokens / $0.0003 from a prior call.
* feat(token-plan): multi-modal one-click setup in System Settings
- token-plan-presets.ts: presets now declare per-modality targets
(llm/image/video/tts/webSearch); MiniMax is the full-set template,
others LLM-only — extend by adding entries (at-our-best adaptation)
- apply-token-plan.ts: fills one key into every declared modality via
injected store setters, isolating per-modality failures (TDD, 4 tests)
- token-plan-settings.tsx: new sidebar page — pick plan, enter key,
one-click apply lights up adapted modalities (+LLM model probe),
shows 'not adapted yet' for the rest, balance bar reused
- reverted add-provider dialog to plain custom form (preset picker moved here)
- i18n across all 8 locales
Verified in-browser: Token Plan page renders, MiniMax shows all 5
modalities, apply/balance UI wired. 859 tests pass, build clean.
* feat(token-plan): add custom token plan entry to Token Plan page
- Custom card at the bottom of the provider list: pick it to manually enter
name + protocol + baseURL (LLM-only), then key + one-click apply via the
same applyTokenPlan flow (mirrors cc-switch's custom provider)
- effectivePreset unifies preset vs custom for apply/balance/probe
- i18n keys (customGroup/customName/customHint) across all 8 locales
Verified in-browser: custom card expands the manual form; preset flow intact.
* feat(token-plan): reflect persisted config on the Token Plan page
Other settings panels read the store directly, so they survive section
switches; the Token Plan page only wrote the store, so it looked blank on
return. Now it also reads providersConfig:
- selecting a preset prefills its saved API key
- configured presets show a '已配置/Configured' badge
State persistence was never broken (apply writes zustand→localStorage);
this fixes the missing read-back so the page reflects it.
* fix(settings): isLLMProviderConfigured crashed on providers without models
Root cause of 'token plan config disappears': applyTokenPlan writes a new
LLM provider with no models yet (probe fills them later). isLLMProviderConfigured
did config.models.length unguarded → threw inside setProviderConfig's resolver
→ the whole set() aborted → key/baseUrl/type never persisted.
- guard models in isLLMProviderConfigured (shared validator; affects any
provider written without a models array)
- seed models:[] in applyTokenPlan's LLM write for a valid initial shape
- regression tests: validator no longer throws; apply+probe write keeps apiKey
Verified in-browser: DeepSeek persists key and shows 已配置 after section switch.
* feat(token-plan): add remove/teardown for a configured token plan
Apply had no inverse. Add removeTokenPlan: clears the API key and disables
(enabled:false) every modality the plan declared; a custom LLM provider is
deleted entirely (removeProvider), built-ins keep the cleared shape.
- removeTokenPlan in apply-token-plan.ts (mirrors applyTokenPlan, isolated
per-modality, injected setters; 3 tests)
- trash button on configured preset cards in the Token Plan page; resets
page state if the removed plan was selected
- i18n 'remove' across all 8 locales
Verified in-browser: removing DeepSeek empties its key and drops the
已配置 badge.
* feat(usage): track multimodal usage, drop cost/pricing
Reframe usage stats as pure usage (no cost), per user decision:
- usage-storage: drop all cost fields; add kind (llm/image/video/tts/asr)
+ quantity + unit; LLM keeps token counts, others store quantity
- delete lib/usage/pricing.ts + pricing-defaults.json + its test
- instrument image/video/tts at the server-only API routes (not in the
provider dispatch — those files are in the client graph and importing
fs-backed usage-storage broke the client bundle)
- /api/usage: aggregate by model/day/modality, no cost
- dashboard: per-modality usage (tokens/images/seconds/chars), token-only
daily trend, no '$'; i18n cost keys replaced with modality/unit keys
- backward compatible: legacy rows (no kind, stray cost fields) read as llm
912 tests pass, build clean.
* feat(usage): per-modality dashboard layout + softer dark-mode chart
- group usage into per-modality sections (LLM/image/video/tts/asr), each
table's usage column uses one consistent unit (token/image/sec/char) —
no more mixed units in a single column
- summary chips per modality with their own unit
- trend chart now plots daily REQUESTS (unit-agnostic, works for any
modality) instead of LLM-only tokens
- theme-aware chart: faint thin line + soft gradient area, muted axis/grid
colors via useTheme — fixes the harsh solid stroke in dark mode
Verified in-browser (dark): TTS shows '字符', LLM shows 'Token', separate
sections; chart no longer has a hard line.
* refactor(usage): dedupe model/fetch/usage helpers, parallel balance probe
Review cleanups on the token-plan/usage branch:
- extract modelInfoFromId() (shared vision heuristic + ModelInfo shape)
- extract fetchWithTimeout() shared by model-fetch and balance-providers
- extract recordGenerationUsage() to dedupe the image/tts/video routes
- queryBalance: fetch billing subscription + usage in parallel
- parseOneApiBilling: report quota without remaining when usage endpoint
is unavailable, instead of implying zero spend (full balance)
- split the two jammed imports in settings/index.tsx
* feat(token-plan): drop custom token-plan support
Custom token plans (manual baseURL/protocol entry) added complexity for
little gain — a one-off provider is better configured directly on the
Providers page. Token Plan is now preset-only:
- remove custom mode, manual fields, and the custom card from the UI
- collapse effectivePreset back to the selected preset
- drop the now-dead removeProvider action + custom-id branch in
removeTokenPlan
- remove orphaned customGroup/customName/customHint i18n keys (8 locales)
* feat(token-plan): add Volcengine/Tencent/Bailian plans, drop balance feature
Add three vendor token-plan presets (all map to existing built-in LLM
providers, so it's data-only — no new adapters):
- 火山方舟 Volcengine Ark → doubao, OpenAI /api/v3
- 腾讯 TokenHub Token Plan → tencent-hunyuan, OpenAI /plan/v3 (the
plan-specific base; /v1 is the pay-as-you-go gateway)
- 阿里百炼 Token Plan → qwen, cross-model plan (Qwen + DeepSeek/Kimi/
GLM/MiniMax) on one key; model list is probed/entered
Remove the balance/quota feature entirely — we now track usage, not cost,
and every vendor's balance query needs its own cloud AK/SK + signature
(Volcengine SigV4 / Tencent TC3 / Aliyun BSS), which the Bearer-key
billing-endpoint probe never supported anyway:
- delete lib/usage/balance-providers.ts, /api/provider/balance, its test
- strip the Check Balance button + balance bar from the token-plan page
and the provider config panel
- remove the 4 balance i18n keys across all 8 locales
- restore an eslint-disable the branch had dropped in provider-config-panel
* feat(token-plan): use cloud-brand logos for vendor token plans
The three vendor plans are cloud offerings, not single-model products, so
icon them with the cloud brand rather than a model logo:
- 火山方舟 → volcengine.svg (was doubao.svg)
- 腾讯 TokenHub → tencentcloud.svg (was hunyuan.svg)
- 阿里百炼 → alibabacloud.svg (was bailian.svg)
Logos are the colored brand variants from lobehub/lobe-icons, matching the
existing colored-logo style (plain <img>, no dark:invert needed).
* feat(token-plan): keep only MiniMax and Volcengine presets
Trim the token-plan list to the two we want to ship: MiniMax (full-set
template) and 火山方舟 Volcengine Ark. Drop the Tencent/Bailian plans and
the OpenRouter/SiliconFlow/DeepSeek/GLM/Qwen entries.
- remove the now-unused tencentcloud.svg / alibabacloud.svg logos
(volcengine.svg stays; the other logos are still used by the provider
registry)
- retarget the LLM-only apply test from the deleted deepseek preset to
volcengine-ark
* feat(token-plan): restore aggregator/third-party presets
Previous commit over-trimmed: the intent was to drop only the Tencent and
Bailian token plans, not the OpenRouter/SiliconFlow/DeepSeek/GLM/Qwen
entries. Bring those back; keep only Tencent/Bailian removed.
- token_plan: MiniMax, 火山方舟 Volcengine Ark
- aggregator: OpenRouter, SiliconFlow
- third_party: DeepSeek, GLM, Qwen
Revert the apply test back to the deepseek fixture (restored).
tencentcloud.svg / alibabacloud.svg stay deleted (their plans are gone).
* fix(token-plan): point Volcengine plan at the Coding Plan endpoint
The plan's ark--prefixed API keys authenticate only against
/api/coding/v3, not the general /api/v3 endpoint — the latter rejects them
with "The API key format is incorrect", so model probing returned nothing.
Switch the base URL to https://ark.cn-beijing.volces.com/api/coding/v3.
* fix(token-plan): Volcengine is an Agent Plan (Anthropic /api/plan)
Per the Ark Agent Plan docs, the ark--prefixed keys authenticate ONLY
against the dedicated Anthropic-compatible base https://ark.cn-beijing.
volces.com/api/plan ("其他 Base URL 无法在 Agent Plan 中使用"). The general
/api/v3 and the Coding Plan /api/coding endpoints both reject the key as
"API key format is incorrect", which is why model probing kept returning 0.
- baseUrl → https://ark.cn-beijing.volces.com/api/plan/v1 (the /v1 lets the
Anthropic SDK land on /api/plan/v1/messages)
- apiFormat → anthropic
- rename to 火山方舟 Agent Plan
Probe still targets /api/plan/v1/models (the path exists); if the Anthropic
gateway doesn't return an OpenAI-shaped list, users fall back to typing a
model id like ark-code-latest.
* fix(token-plan): Volcengine Agent Plan = OpenAI /api/plan/v3 + ark-code-latest
Settled after probing the real key and reading cc-switch's approach:
- The ark- plan key works on the OpenAI-compatible /api/plan/v3 endpoint
(chat/completions returns 200); switch apiFormat back to openai.
- The plan exposes NO /models list (every /api/plan/*/models is 404), which
is why probing kept returning 0. cc-switch handles this by hardcoding a
single ark-code-latest (an auto-routing alias valid on any tier) and does
NOT use AK/SK for model listing — so we do the same.
- Seed defaultModels: ['ark-code-latest'] only; users add specific ids by hand.
Supporting machinery (kept, general-purpose):
- applyTokenPlan seeds models from defaultModels instead of wiping to []
- handleApply uses defaultModels and skips the doomed probe when present
- drop stray .playwright-mcp/ debug artifacts and gitignore them
* style: fix prettier formatting in usage files
CI runs prettier on the whole repo (prettier . --check); these four files
predate this branch's formatting pass and tripped the check.
* feat(token-plan): verify Volcengine Agent Plan's published model set
The Agent Plan publishes a fixed model set but exposes no /models endpoint,
so carry the documented models as CANDIDATES and verify each on apply:
- add verifyModels flag to TokenPlanModalityTarget
- new /api/provider/probe-chat-models route: sends a minimal chat request per
candidate (OpenAI /chat/completions or Anthropic /messages) in parallel,
returns the subset that succeeds; SSRF-guarded, auth-failure short-circuits
- handleApply gains a verify branch (before the fixed-defaultModels fast path),
falling back to the seeded list if verification fails
- Volcengine preset now carries the 12 published Agent Plan text models
(doubao-seed-2.0-*/deepseek-v4-*/minimax-m*/glm-5.2/kimi-k2.*) as candidates
This auto-prunes retired (docs flag deepseek-v3.2/glm-5.1 as 即将下线) and
tier-gated models without code changes. Verified all 12 resolve against a real
plan key.
* feat(token-plan): wire Volcengine Agent Plan image + video modalities
Make the Ark seedream/seedance adapters path-configurable and light up the
image/video modalities on the Volcengine plan:
- seedream/seedance adapters: resolveArkRoot() uses baseUrl verbatim when it
already carries an /api/... path (token plan's /api/plan/v3), else appends
the standard /api/v3 — no regression for the pay-as-you-go default host.
- applyTokenPlan: image/video branches inject a modality's defaultModels as
customModels and set them as the active provider+model, so generation works
out of the box. New optional setImageProvider/ModelId + setVideoProvider/
ModelId actions (UI passes the store setters; tests omit them).
- Volcengine preset declares image (doubao-seedream-5.0-lite, verified 200 on
/api/plan/v3/images/generations) and video (doubao-seedance-2.0/1.5-pro —
Medium+ tiers only; lower tiers reject at call time, no code change needed
to upgrade).
Applying the plan overwrites the shared seedream/seedance slot with the plan
config (same overwrite model as LLM); switching back to pay-as-you-go is a
manual edit or plan removal. Verified image end-to-end with a real plan key.
* feat(token-plan): verify image/video models on apply, disable unsupported tiers
The Volcengine plan lit up video optimistically, but lower tiers (Small) don't
include video — so using it 404'd with UnsupportedModel. Probe media models on
apply and only keep what the tier actually supports:
- generalize /api/provider/probe-chat-models with a `kind` (chat|image|video):
image hits /images/generations, video hits /contents/generations/tasks with
empty content. The model-support check (404 UnsupportedModel) runs before any
billable work, so probing never starts a real image/video job; for media,
"supported" = any non-404 response.
- handleApply: after lighting up image/video, probe each verifyModels modality;
prune to the verified model set + re-select a working model, or disable the
modality entirely if none pass (no false "available").
- Volcengine preset: image/video targets gain verifyModels: true.
- add settings.tokenPlan.tierUnsupported across 8 locales.
Verified with a real Small-tier key: image (seedream-5.0-lite) passes and is
kept; video (seedance-2.0/1.5-pro) 404s and is disabled.
* feat(web-search): add Doubao (豆包搜索) provider
Doubao Search (Custom 版) over its REST endpoint
POST open.feedcoopapi.com/search_api/web_search with Bearer auth — the
same endpoint the askecho-search-infinity MCP server wraps, so the
Volcengine Agent Plan key authenticates directly. Mirrors the MiniMax
adapter: maps Result.WebResults to WebSearchSource (prefers Summary, the
query-relevant excerpt, over Snippet for LLM use) and surfaces errors
from ResponseMetadata.Error.
- register 'doubao' in WebSearchProviderId + WEB_SEARCH_PROVIDERS
- searchWithDoubao adapter, searchWeb dispatch, store default config
- SSRF allowlist entry for the search host
* feat(audio): support Agent Plan single-key auth for Doubao TTS
generateDoubaoTTS now picks auth + endpoint from the key shape, since
Volcengine exposes Seed-TTS as two products with separate credentials
(verified: a plan key 401s on the normal endpoint, and the plan endpoint
rejects appId-style auth):
- single key (no colon) -> X-Api-Key, for the Agent Plan /plan endpoint
- appId:accessKey -> X-Api-App-Id + X-Api-Access-Key (unchanged)
A malformed pair (empty half) fails clearly instead of sending an empty
header. Reuses the existing NDJSON/base64-mp3 parsing and voice list.
* fix(media): map MiniMax video 720p to its real 768P tier
normalizeVideoOptions defaults minimax-video to '720p' (the first
supported resolution), but Hailuo 2.3 only accepts 768P/1080P and rejects
720P with '2013 ... does not support resolution 720P'. MiniMax's mid tier
is 768P, not 720P (the adapter already falls back to 768P, as does the
connectivity test), so map the shared enum's '720p' to 768P. Regression
tests lock the mapping.
* feat(token-plan): add web search + TTS to Volcengine Agent Plan, widen image tiers
Extend the volcengine-ark preset now that the adapters exist:
- webSearch -> doubao (own host open.feedcoopapi.com, not the ark endpoint)
- tts -> doubao-tts on the /api/plan/tts endpoint (single-key auth)
- image defaultModels widened to a best-first Seedream 5.0/4.5/4.0 list so
a higher tier keeps the strongest model while verifyModels prunes the
rest; video keeps the 2.0 + 1.5-pro candidates
Comments record the verified host/auth quirks of each modality.
* feat(token-plan): show result panel only after probing, with two clear states
Addresses review feedback that a green check implied generation works
when it only meant 'configured'. The panel now renders after probing
finishes (gated on results && !applying) so it reflects the final set,
and uses two states: green when the modality is configured/usable, muted
when a live probe proved it unavailable (e.g. video on a tier without it).
* feat(token-plan): scope presets to true multi-modal token plans
Drop the single-modality LLM presets (OpenRouter, SiliconFlow, DeepSeek,
GLM, Qwen) from Token Plan. A token plan's defining trait is one key
spanning many modalities; those entries are ordinary LLM API providers
already covered by the add-provider flow, and listing them here muddied
the 'one key, every modality' promise. Only MiniMax and the Volcengine
Ark Agent Plan remain. The UI already hides categories with no entries.
apply-token-plan's LLM-only test now uses a local fixture instead of the
removed deepseek preset.
* feat(token-plan): progressive reveal of probe results on apply
The result panel previously rendered all at once after probing finished,
reading as dead air during the model probe. Now rows appear immediately on
Apply: modalities with a live probe in flight show a spinner ('pending')
and resolve to lit/failed independently as each probe returns, while
non-probe modalities show lit right away. Probes run in parallel
(Promise.all) instead of sequentially.
A row only turns green once its own probe confirms, so this reveals
structure + live progress without a premature green — complementing the
earlier 'render only after probing' intent rather than reverting it.
Per review feedback from @wyuc on #784.
* fix(token-plan): enrich seeded models with built-in thinking capability
Token Plan built ModelInfo objects from probed ids via modelInfoFromId(),
filling only streaming/tools/vision — so a model that supports configurable
thinking lost capabilities.thinking and InlineThinkingControl was hidden.
modelInfoFromId now takes an optional providerId and overlays the catalog
thinking capability for that (provider, model) pair; applyTokenPlan does the
same for its synchronously-seeded list. Added the Ark Agent Plan's dotted
aliases to the metadata table:
- native Doubao Seed 2.0 family (doubao-seed-2.0-pro/code/lite/mini)
- cross-vendor models the plan serves through its OpenAI-compatible endpoint
(deepseek-v4-pro/flash, glm-5.2, kimi-k2.7-code/k2.6, minimax-m3/m2.7,
ark-code-latest)
All verified against a live plan key: each accepts the gateway's unified
reasoning_effort field (low/medium/high) and actually reasons. They share the
doubao effort adapter, which disables via 'minimal' (not 'none') — matching
what the plan endpoint accepts (it rejects reasoning_effort:'none').
Addresses review point #1 from @wyuc on #784.
* Improve token plan capability setup UI
* fix token plan setup flow
* chore: prettier format tts-providers.ts
* fix: close PROVIDERS/THINKING_CAPABILITIES metadata drift with a guard
* fix: use toggle-budget thinking capability for SiliconFlow DeepSeek-V3.2
---------
Co-authored-by: Matt Van Horn <455140+mvanhorn@users.noreply.github.com>
Co-authored-by: wyuc <wang-yc24@mails.tsinghua.edu.cn>
Promote the editor-agent line to main: read-then-act editor agent (read_scene_content, regenerate_scene, regenerate_scene_actions, edit_interactive_html), a routable maic-agent model stage, the agent sidebar UI, interactive-scene runtime-error capture, and the timeline/script editor. Cross-reviewed and smoke-verified; see #777.
Adds the Qwen3.7 series to the built-in qwen provider, mirroring the
existing Qwen3.6 model-card shape:
- qwen3.7-plus: 1M context, 64K output, vision, tools, toggleable
thinking + budget (default on)
- qwen3.7-max: 1M context, 64K output, text-only, tools, toggleable
thinking + budget (default on)
Both run over the already-configured DashScope OpenAI-compatible
endpoint; no transport changes. Thinking is wired through the existing
qwen request adapter (qwenBudgetEnabled, 0-81920 budget). Output ceiling
and thinking-budget max reuse the Qwen3.6 conventions, since the public
docs don't spell these out per-model.
Closes#752
Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
* feat(providers): add international base URL chips for GLM/Kimi/MiniMax
- Add optional alternateBaseUrls field to ProviderConfig
- Populate GLM, Kimi, MiniMax with China/International endpoints
- Settings UI renders chips below base URL input; clicking fills and auto-saves
- i18n: settings.baseUrlRegion.{china,international} in all 5 locales
- README / README-zh: list GLM and add quick-examples block
Closes#448
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
* docs: use glm-5.1 as the GLM default model example
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
---------
Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Co-authored-by: 杨慎 <117187635+cosarah@users.noreply.github.com>
* chore: update Ollama logo to official version
Closes#399
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
* fix: improve OpenAI and Ollama logo visibility across themes
OpenAI logo (white fill) was invisible on light backgrounds, and Ollama
logo (black fill) was invisible on dark backgrounds. Normalize OpenAI SVG
to black fill and apply dark:invert via a central MONO_LOGO_PROVIDERS set.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
---------
Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
* feat: Ollama local LLM support
- Ollama as a built-in provider (OpenAI-compatible, no API key needed)
- 8 default models: llama3.3, llama3.2, qwen2.5, qwen2.5:32b, mistral, gemma3, deepseek-r1, phi4
- Keyless provider activation: providers with only a baseUrl (no API key) now activate correctly
- isProviderKeyRequired() helper for consistent key validation across routes
- i18n strings for Ollama (zh-CN + en-US) and missing Doubao strings
- SSRF guard documentation clarifying server-configured URLs bypass safely
Previously, clients could send `x-requires-api-key: false` (header) or
`requiresApiKey: false` (body) to skip API key validation for ANY provider,
including ones like OpenAI that require keys. This meant a client could
consume server-configured credentials without authorization.
Fix: the server now derives requiresApiKey exclusively from its own provider
registry. The client header and body field are removed from all server-side
parsing. For Ollama, the registry says `requiresApiKey: false` so it works
keyless. For OpenAI, the registry says `true` so the check is enforced
regardless of what a client sends.
* fix: address reviewer feedback on Ollama integration
- Fix env-var activation so OLLAMA_BASE_URL alone activates the provider
- Move SSRF bypass comment from ssrf-guard.ts to resolve-model.ts
- Add ollama and doubao provider names to i18n locale files
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
* Fixed issues from reviewer notes.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
* style: format provider-config.ts with Prettier
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
---------
Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Co-authored-by: 杨慎 <117187635+cosarah@users.noreply.github.com>
* chore: Remove GPT-4o, GPT-4o-mini, GPT-4-turbo, and Gemini 3 Pro Preview model definitions.
* chore: remove deprecated gemini-3-pro-preview model
---------
Add MiniMax LLM models (M2–M2.7), TTS provider (speech-2.8/2.6/02/01),
image generation (image-01), and video generation (Hailuo 2.3/02,
T2V-01). Unify base URLs to api.minimaxi.com and add MiniMax-specific
base URL normalization for the Anthropic-compatible endpoint.
Co-authored-by: Hi-Jiajun <3138947285@qq.com>
* feat: add Grok (xAI) provider support for LLM, Image and Video generation
- Add Grok as LLM provider (OpenAI-compatible, 11 models including grok-4.20, grok-4, grok-3)
- Add Grok Image generation provider (grok-imagine-image, grok-imagine-image-pro)
- Add Grok Video generation provider with async polling (grok-imagine-video)
- Add env vars: GROK_*, IMAGE_GROK_*, VIDEO_GROK_*
- Add web search note: Grok search is via chat completions, not standalone API
- Update README/README-zh with Grok in supported providers
Closes#87
* fix: ensure new image/video providers are auto-added to persisted settings
Add ensureBuiltInImageProviders and ensureBuiltInVideoProviders functions
that run on every store rehydrate, mirroring the existing LLM provider
sync logic. Without this, Grok Image/Video providers would not appear
for users with existing localStorage settings.
* fix: add missing English translation for providerGrokVideo
* style: fix prettier formatting for grok video provider
* fix: remove unsupported grok multi-agent model and improve video error
