- Add MiniMax-M3 to the model selection list (set as new default at top)
- Retain MiniMax-M2.7 and MiniMax-M2.7-highspeed
- Remove deprecated MiniMax-M2.5 / M2.5-highspeed
- Update supportsImageInput: M3 supports image input (M2.x stay text-only)
- Update unit tests to reflect new model lineup
- Update example AI_MODEL in CN/EN/JA docs to MiniMax-M3
Co-authored-by: octo-patch <octo-patch@github.com>
* fix(anthropic): support ANTHROPIC_AUTH_TOKEN as alternative to ANTHROPIC_API_KEY
Anthropic SDK supports two mutually exclusive auth methods: apiKey (sent as
x-api-key header) and authToken (sent as Authorization: Bearer header). Detect
either env var during provider detection and credential validation, and pass
authToken to createAnthropic when only ANTHROPIC_AUTH_TOKEN is set.
* docs(anthropic): document ANTHROPIC_AUTH_TOKEN and refine error message
- Add ANTHROPIC_AUTH_TOKEN to env.example and the en/cn/ja provider docs
- Reword the missing-credential error to "Either ... or ..." for readability
---------
Co-authored-by: duyunjie <duyunjie@zhuanzhuan.com>
Co-authored-by: dayuan.jiang <jdy.toh@gmail.com>
Kimi thinking models (e.g. kimi-k2.6) return reasoning_content in their
responses. The previous createOpenAI-based implementation silently ignored
this field, so reasoning was never captured or replayed in subsequent turns.
Switching to createDeepSeek (which natively understands reasoning_content)
ensures that reasoning context is preserved across conversation turns,
resolving the "cannot interact a second time" error with Kimi k2.6.
This mirrors the existing doubao provider pattern, which already uses
createDeepSeek for kimi-based models routed through Doubao.
Co-authored-by: octo-patch <octo-patch@github.com>
QvQ models (e.g. qvq-72b-preview, qvq-max) are visual reasoning models
from the Qwen family that support image input. When accessed via providers
that prefix model names with 'qwen/' (e.g., OpenRouter), these models
contain 'qwen' in their ID but lack the 'vl' or 'vision' indicator.
This caused supportsImageInput() to incorrectly return false for model
IDs like 'qwen/qvq-72b-preview', blocking image uploads for vision-capable
models.
Add 'qvq' as an explicit exception in the Qwen text-model check so that
QvQ models are correctly allowed to receive image input regardless of the
provider prefix.
Co-authored-by: octo-patch <octo-patch@github.com>
Qwen3.5 models deployed via vLLM natively support image input, but the
supportsImageInput() check was incorrectly blocking them. The function
only exempted qwen3.5-plus and qwen3.5-flash variants, missing the base
qwen3.5 model name.
Simplify the exception to cover all qwen3.5 variants with a single
substring check on "qwen3.5", since it is a common prefix of all three.
Co-authored-by: octo-patch <octo-patch@github.com>
Add Novita AI as a new LLM provider with OpenAI-compatible API support.
Users can now select Novita from all entry points (CLI, config, UI).
- Add 'novita' to ProviderName type
- Add Novita AI entry to PROVIDER_INFO with default base URL
- Add Novita suggested models (kimi-k2.5, glm-5, minimax-m2.5)
- Add 'novita' to ALLOWED_CLIENT_PROVIDERS
- Add NOVITA_API_KEY environment variable mapping
- Add novita case to getAIModel() switch using OpenAI-compatible API
- Add novita to SINGLE_SYSTEM_PROVIDERS for proper message handling
* Implement GLM model identification logic
Add checks for GLM text and visual model naming conventions.
* fix: simplify GLM vision detection and add tests
- Remove redundant includes("v-") check that could cause false positives
on model names containing "dev-", "csv-", etc.
- Remove unnecessary includes("v") pre-check
- Update comments with real GLM model names
- Add unit tests for GLM text and vision models
* feat: add vision detection for MiniMax, Moonshot, and fix Qwen
- Add MiniMax text model detection (M2.x series are text-only)
- Add Moonshot v1 text model detection (moonshot-v1-* are text-only)
- Add qwen3.5-flash to Qwen vision model exceptions
- Add unit tests for all new model checks
---------
Co-authored-by: dayuan.jiang <jdy.toh@gmail.com>
* feat: Add support for Chinese AI providers (GLM, Qwen, Kimi, MiniMax, Qiniu)
- Add minimax, glm, qwen, qiniu, kimi to ProviderName type
- Add provider configurations to PROVIDER_INFO with default base URLs
- Add suggested models for MiniMax in SUGGESTED_MODELS
- Add minimax/glm/qwen/qiniu/kimi cases to getAIModel using OpenAI-compatible SDK
- Update ALLOWED_CLIENT_PROVIDERS and error messages
- Add environment variable examples to env.example
Fixes: MiniMax API compatibility issue (invalid chat setting 2013)
* fix: Add missing providers to PROVIDER_ENV_VARS type
* fix: Handle null case in PROVIDER_ENV_VARS for new providers
* fix: Add minimax/glm/qwen/kimi/qiniu support to validate-model API
- Add getDefaultBaseUrl helper function
- Add validation cases for new providers in validate-model route
* fix: Add new providers to buildProviderOptions switch case
* fix: Merge multiple system messages into one for minimax/glm/qwen/kimi/qiniu
MiniMax API doesn't support multiple system messages.
This fix combines them into a single message for Chinese providers.
* fix: Handle null provider in system message check
* debug: Add logging for allMessages count
* fix: Use effective provider (including env var fallback) for isSingleSystemProvider check
* fix: apply biome formatting (line-wrapping)
* docs: add Chinese AI providers documentation (MiniMax, GLM, Qwen, Kimi, Qiniu)
- Add i18n translations for new providers in all language dictionaries
- Add provider configuration documentation in en/cn/ja docs
* fix: 改进 PR #722 的代码审查反馈
1. 删除重复的 getDefaultBaseUrl 函数，改用 model-config.ts 的 PROVIDER_INFO
2. validate-model 路由改用 AI SDK 的 createOpenAI + generateText
3. 修复 resolveBaseURL 回退逻辑，传入 PROVIDER_INFO 的 defaultBaseUrl
4. 删除无用的 .bak 备份文件
Co-authored-by: Shinyi <shinyi@openclaw.ai>
* fix: 修正中国 AI provider 端点配置
- qiniu: api.qiniucdn.com → api.qnaigc.com
- qwen: dashscope.aliyun.com → dashscope.aliyuncs.com
- 更新 env.example 文档链接
Co-authored-by: Shinyi <shinyi@openclaw.ai>
* feat: MiniMax 使用 Anthropic 兼容 API
- MiniMax 改用 createAnthropic (而非 createOpenAI)
- 支持 api.minimax.io/anthropic 和 api.minimaxi.com/anthropic
- 合并多个 system 消息为单个 (MiniMax/GLM/Qwen/Kimi/Qiniu)
- 更新默认模型为 MiniMax-M2.5 系列
- 支持 MINIMAX_BASE_URL 环境变量配置
Co-authored-by: Shinyi <shinyi@openclaw.ai>
* docs: 更新 MiniMax 文档
- 添加 Anthropic 兼容 API 说明
- 更新默认模型为 MiniMax-M2.5
- 添加国际版/中国大陆版配置示例
- 更新 env.example 注释
Co-authored-by: Shinyi <shinyi@openclaw.ai>
* fix: 完善 MiniMax 双端点支持及问题修复
- 支持 MiniMax Anthropic 兼容端点和 OpenAI 兼容端点自动切换
- 修正默认端点为 api.minimaxi.com (中国大陆可用)
- 修复端点路径缺少 /v1 的问题
- 添加前端 MiniMax logo 映射
- 移除调试日志
- 修正 env.example 默认配置
* chore: clean backup artifacts and align biome formatting
* fix: resolve effectiveProvider bug, deduplicate MiniMax URL logic, fix docs
- Fix critical bug: effectiveProvider was empty during auto-detection,
causing multi-system-message to be sent to MiniMax (which rejects it).
Now uses resolved provider from getAIModel instead of re-deriving it.
- Extract normalizeMiniMaxBaseURL() shared helper to eliminate duplication
between ai-providers.ts and validate-model/route.ts
- Add guard for undefined MiniMax baseURL to prevent hitting api.anthropic.com
- Fix docs: mark China mainland URL as default (matches code behavior)
- Restructure minimax/glm/qwen/kimi/qiniu validation to use shared pattern
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* feat: document MiniMax dual API formats in docs and UI
- Add hint below Base URL input when MiniMax is selected, explaining
Anthropic-compatible (/anthropic) vs OpenAI-compatible (/v1) endpoints
- Update all 3 ai-providers docs (en/cn/ja) to list all 4 endpoint options
(China/International × Anthropic/OpenAI)
- Add i18n translations for the hint in all 4 locales
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* refactor: deduplicate PROVIDER_LOGO_MAP, remove unnecessary optional chaining
- Extract PROVIDER_LOGO_MAP to lib/types/model-config.ts (was duplicated
in model-config-dialog.tsx and model-selector.tsx)
- Remove unnecessary ?. on PROVIDER_INFO.minimax (it's a full Record)
---------
Co-authored-by: msga-oc <msga-oc@gitea.misakiga.top>
Co-authored-by: Shinyi <shinyi@openclaw.ai>
Co-authored-by: dayuan.jiang <jdy.toh@gmail.com>
Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
* Add Ollama Cloud support with Base URL and API Key configuration
* implemented feedback
* fix: use OLLAMA_BASE_URL env fallback in validate-model endpoint
* Remove dedicated Ollama configuration block
* security(ollama): prevent API key leak to client-controlled URLs
* added test
* fix: security hardening and Ollama Cloud default URL
- Add server OLLAMA_API_KEY fallback to validate-model endpoint with
SSRF guard mirroring ai-providers.ts
- Tighten top-level SSRF exemption: only exempt Ollama when no server
OLLAMA_API_KEY is configured
- Update Electron config to support OLLAMA_API_KEY env var
- Change default Ollama URL from localhost:11434 to ollama.com/api
(Ollama Cloud) for web UI users
- Add tests for server env combo, API-key-only, and SSRF guard scenarios
---------
Co-authored-by: dayuan.jiang <jdy.toh@gmail.com>
Add qwen3.5-plus to SiliconFlow and ModelScope suggested models.
Mark qwen3.5-plus as a vision-capable model in supportsImageInput check.
Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
Support multiple API keys per provider with random selection for load
balancing. When AI_MODELS_CONFIG has multiple apiKeyEnv values for
a provider, requests will randomly select one available key.
- Update schema to accept apiKeyEnv as string or string array
- Add random key selection in resolveApiKey()
- Update validation to check at least one key exists
- Add tests for array format support
* fix: enable image support for Kimi K2.5 model
Kimi K2.5 supports image input but was incorrectly blocked by the
supportsImageInput check that excluded all Kimi models without
"vision" in the name. Updated the condition to only exclude the
older K2 model while allowing K2.5.
* fix: improve Kimi K2.5 image support logic and add tests
- Only block kimi-k2 specifically, not all Kimi models
- Add unit test for kimi-k2.5 image support
Previously, Ollama only used the OLLAMA_BASE_URL environment variable.
Now client-provided base URL from settings takes priority, allowing
users to configure custom Ollama endpoints (e.g., remote servers).
Fixes#652
Allows users to select Ollama as a provider from client settings.
Previously, Ollama was blocked with "Invalid provider" error even
though the UI supported it.
Fixes#652
Ollama is a local/self-hosted model that doesn't require API keys.
The SSRF protection was incorrectly blocking Ollama connections
when users provided a custom base URL without an API key.
Fixes#652
* [Feature] Add VLM-based diagram validation
Add automatic VLM (Vision Language Model) validation after display_diagram
tool execution. The system captures a screenshot of the rendered diagram,
sends it to a VLM for visual analysis, and uses feedback to improve
diagram quality through the existing retry mechanism.
Changes:
- Add /api/validate-diagram endpoint for VLM validation
- Add diagram-validator.ts for client-side validation orchestration
- Add validation-prompts.ts for VLM system prompts
- Add ValidationCard component to display validation status in chat
- Add PNG capture functionality to diagram context
- Integrate validation into tool handlers with retry support (max 3)
- Add "Improve with Suggestions" button for manual regeneration
- Add settings toggle to enable/disable VLM validation
- Add getValidationModel() helper in ai-providers.ts
* refactor(validation): use AI SDK structured outputs and address review feedback
- Replace generateText + manual JSON parsing with generateObject and Zod schema
for type-safe structured validation output
- Use AbortSignal.timeout() instead of Promise.race for cleaner timeout handling
- Add timeout validation with minimum 1000ms to handle malformed env values
- Remove unused xml parameter from validateRenderedDiagram API
- Remove parseValidationResponse function (now handled by schema)
- Clear validationStates on session switch and new chat to prevent memory leak
- Update 100ms render delay comment to clarify best-effort heuristic
- Remove unused useEffect import from ValidationCard
- Fix optional chaining lint warning in ValidationCard
- Add unit tests for formatValidationFeedback function
* refactor(validation): use AI SDK experimental_useObject hook instead of raw fetch
- Change API endpoint from generateObject to streamObject for useObject compatibility
- Create useValidateDiagram hook using AI SDK's experimental_useObject for reactive validation
- Update useDiagramToolHandlers to accept validation function as parameter
- Update chat-panel to use new useValidateDiagram hook
- Remove validateRenderedDiagram function from lib/diagram-validator.ts (now in hook)
- Export ValidationResultSchema from API route for client-side use
* fix(validation): extract schema to shared file for client/server compatibility
Move ValidationResultSchema to lib/validation-schema.ts to avoid importing
server-side modules (ai-providers) into client-side code. This fixes the
Turbopack build error caused by the hook importing from the API route.
* fix(validation): use 'Valid' instead of 'Complete' for validation success
Change ValidationCard success label from 'Complete' to 'Valid' to avoid
conflicting with ToolCallCard's 'Complete' badge in E2E tests. This fixes
the diagram-generation E2E test that expects a specific count of 'Complete'
badges.
* fix(validation): add aria-hidden to icons to prevent duplicate ID warning
* fix: improve VLM validation with bug fixes and i18n
- Fix race condition in pendingValidationRef (reject previous pending validation)
- Fix response format consistency (use streaming for all responses)
- Remove dead code (unused lastRequestRef and ValidationRequest interface)
- Consolidate duplicate types (re-export from validation-schema.ts)
- Add 'success_with_warnings' status for valid diagrams with warnings
- Fix tool card auto-collapse (only collapse once, respect user toggle)
- Set VLM validation default to disabled
- Add i18n support for diagram validation settings (en/zh/ja)
- Mark feature as experimental in settings UI
* fix: resolve TypeScript errors in electron-standalone
- Add forwardRef support to ChatInput component with ChatInputRef type
- Copy electron.d.ts to electron-standalone/electron folder
- Exclude electron-standalone from root tsconfig type checking
* fix: return empty string for valid result with no issues in formatValidationFeedback
* feat(i18n): add validation strings for ValidationCard component
- Add validation section to en.json, zh.json, ja.json dictionaries
- Update ValidationCard to use useDictionary hook
- Replace all hardcoded English strings with i18n keys
---------
Co-authored-by: dayuan.jiang <jdy.toh@gmail.com>
* [Feature] Server side multi-pvorider/model support
* copilot suggesition implemented
* feat: improve model selector UI and auto-select default server model
- Replace emoji headers with Lucide icons (Monitor, User)
- Fix transition-all to explicit properties per web guidelines
- Use CSS padding instead of hardcoded space indentation
- Add ModelSelectorSectionHeader component for section headers
- Replace Star icon with "default" text label
- Style Configure button with muted text color
- Auto-select default server model when page loads
- Support AI_MODELS_CONFIG env var for cloud deployments
- Support custom apiKeyEnv/baseUrlEnv per provider config
* docs: update server-side multi-model configuration documentation
- Add AI_MODELS_CONFIG env var option for cloud deployments
- Document apiKeyEnv and baseUrlEnv fields for custom env var names
- Document default field for auto-selecting default model
- Remove deprecated version field from examples
- Add field reference table for clarity
---------
Co-authored-by: dayuan.jiang <jdy.toh@gmail.com>
Refactored all 11 providers to use the resolveBaseURL() utility function
instead of inline ternary expressions. This ensures:
1. The security fix is centralized in one testable function
2. Unit tests actually validate the production code path
3. Future changes only need to modify one location
Providers refactored: openai, anthropic, google, azure, openrouter,
deepseek, siliconflow, sglang, gateway, doubao, modelscope
Add comprehensive tests for the resolveBaseURL utility function:
- Tests for user-provided API key scenarios
- Tests for server credential scenarios
- Edge case tests for empty strings and undefined values
This addresses the Copilot review suggestion to add test coverage
for the critical security fix.
When users provide their own API key but not a custom baseURL,
the code was incorrectly falling back to the server's environment
variable for baseURL. This caused user API keys to be sent to
the server's custom proxy endpoint instead of the provider's
official endpoint, resulting in 'API key format incorrect' errors.
This fix ensures that when a user provides their own API key:
- Only the user's baseUrl is used (if provided)
- Otherwise, the provider's official/default endpoint is used
- Server's baseURL env vars are never mixed with user credentials
Affected providers: openai, anthropic, google, azure, openrouter,
deepseek, siliconflow, sglang, gateway, doubao, modelscope
Also fixes Azure's resourceName to not leak server config to user keys.
Fixes#577
SiliconFlow is transitioning from .com to .cn domain. The .cn endpoint
uses Global Traffic Manager (GTM) for better global access, while .com
is being phased out.
DeepSeek provider was not properly formatting image content for Doubao's
API. Now uses OpenAI provider for Doubao models (multimodal support),
while keeping DeepSeek provider for DeepSeek/Kimi models on the platform.
* test: add Vitest and Playwright testing infrastructure
- Add Vitest for unit tests (39 tests)
- cached-responses.test.ts
- ai-providers.test.ts
- chat-helpers.test.ts
- utils.test.ts
- Add Playwright for E2E tests (3 smoke tests)
- Homepage load
- Japanese locale
- Settings dialog
- Add CI workflow (.github/workflows/test.yml)
- Add vitest.config.mts and playwright.config.ts
- Update .gitignore for test artifacts
* test: add more E2E tests for UI components
- Chat panel tests (interactive elements, iframe)
- Settings tests (dark mode, language, draw.io theme)
- Save dialog tests (buttons exist)
- History dialog tests
- Model config tests
- Keyboard interaction tests
- Upload area tests
Total: 15 E2E tests, all passing
* test: fix E2E test issues from review
Fixes based on Gemini and Codex review:
- Remove brittle nth(1) selector in keyboard tests
- Remove waitForTimeout(500) race condition
- Remove if(isVisible) silent skip patterns
- Add proper assertions instead of no-op checks
- Remove expect(count >= 0) that always passes
- Remove unused hasProviderUI variable
All 14 E2E tests and 39 unit tests pass.
* style: auto-format with Biome
* fix: resolve lint errors for CI
* test(e2e): add diagram generation tests with mocked AI responses
- Add tests for generate, edit, and append diagram operations
- Use SSE mocked responses matching AI SDK UI message stream format
- Generate mxCell XML directly in tests for deterministic assertions
- Tests verify tool card rendering and 'Complete' badge state
* test: add comprehensive E2E tests for all major features
- Error handling tests (API errors, rate limits, network timeout, truncated XML)
- Multi-turn conversation tests (sequential requests, history preservation)
- File upload tests (upload button, file preview, sending with message)
- Theme switching tests (dark mode toggle, persistence, system preference)
- Language switching tests (EN/JA/ZH, persistence, locale URLs)
- Iframe interaction tests (draw.io loading, toolbar, diagram rendering)
- Copy/paste tests (chat input, XML input, special characters)
- History restore tests (new chat, persistence, browser navigation)
* refactor: extract shared test helpers and improve error assertions
- Create tests/e2e/lib/helpers.ts with shared SSE mock functions
- Add proper error UI assertions to error-handling.spec.ts
- Remove waitForTimeout calls in favor of real assertions
- Update 6 test files to use shared helpers
* docs: add testing section to CONTRIBUTING.md
* fix: improve test infrastructure based on PR review
- Fix double build in CI: remove redundant build from playwright webServer
- Export chat helpers from shared module for proper unit testing
- Replace waitForTimeout with explicit waits in E2E tests
- Add data-testid attributes to settings and new chat buttons
- Add list reporter for CI to show failures in logs
- Add Playwright browser caching to speed up CI
- Add vitest coverage configuration
- Fix conditional test assertions to use test.skip() instead of silent pass
- Remove unused variables flagged by linter
* fix: improve E2E test assertions and remove silent skips
- Replace silent test.skip() with explicit conditional skips
- Add actual persistence assertion after page reload
- Use data-testid selector for new chat button test
* refactor: add shared fixtures and test.step() patterns
- Add tests/e2e/lib/fixtures.ts with shared test helpers
- Add tests/e2e/fixtures/diagrams.ts with XML test data
- Add expectBeforeAndAfterReload() helper for persistence tests
- Add test.step() for better test reporting in complex tests
- Consolidate mock helpers into fixtures module
- Reduce code duplication across 17 test files
* fix: make persistence tests more reliable
- Remove expectBeforeAndAfterReload from mocked API tests
- Add explicit test.step() for before/after reload checks
- Add retry config for flaky clipboard tests
- Add sleep after reload for language persistence test
* test: remove flaky XML paste test
* docs: run both unit and e2e tests before PR
* chore: add type check and unit test git hooks
---------
Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
- Update biome schema version from 2.3.8 to 2.3.10
- Add radix parameter to parseInt in mcp-server
- Remove unnecessary React fragment in model-config-dialog
- Fix unused variable errors (err -> _err)
- Auto-format code with biome
Some models (Kimi K2, DeepSeek, Qwen text models) don't support image/vision
input. The AI SDK silently drops unsupported image parts, causing confusing
responses where the model acts as if no image was uploaded.
Added supportsImageInput() function to detect unsupported models by name,
and return a 400 error with clear guidance when users try to upload images
to these models.
Closes#469
* feat: add doubao provider and ByteDance sponsorship
- Add doubao provider using DeepSeek SDK with Volcengine base URL
- Add ByteDance Doubao sponsorship acknowledgment to about pages
- Update all README files (EN/CN/JA) with K2-thinking model info
- Update ai-providers.md with doubao configuration
- Keep both gateway and doubao providers after merge
* style: auto-format with Biome
* feat: add doubao and sglang to provider config panel
* fix: add doubao and sglang to validate-model API and logo maps
* docs: update ByteDance sponsorship note in all README versions
* docs: add Doubao logo to sponsorship note
* fix: use raw GitHub URL for Doubao logo in READMEs
* fix: separate link and image in sponsorship note
* fix: use PNG instead of SVG for Doubao logo
* fix: use current branch for PNG URL (will update to main after merge)
* docs: reorganize Deployment section and update image URLs to main
---------
Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
Third-party OpenAI-compatible proxies typically don't support the
/responses endpoint. Use .chat() for custom baseURLs while keeping
Responses API for official OpenAI to preserve reasoning model support.
Fixes#377
- Use Responses API instead of Chat Completions API for OpenAI
(.chat() -> default call) to support reasoning events
- Add o4 to reasoning model detection
- Change default reasoningSummary from 'detailed' to 'auto'
(not all models support 'detailed')
- Update types to match AI SDK: 'auto' | 'detailed'
* feat: add multi-provider model configuration
- Add model config dialog for managing multiple AI providers
- Support for OpenAI, Anthropic, Google, Azure, Bedrock, OpenRouter, DeepSeek, SiliconFlow, Ollama, and AI Gateway
- Add model selector dropdown in chat panel header
- Add API key validation endpoint
- Add custom model ID input with keyboard navigation
- Fix hover highlight in Command component
- Add suggested models for each provider including latest Claude 4.5 series
- Store configuration locally in browser
* feat: improve model config UI and move selector to chat input
- Move model selector from header to chat input (left of send button)
- Add per-model validation status (queued, running, valid, invalid)
- Filter model selector to only show verified models
- Add editable model IDs in config dialog
- Add custom model input field alongside suggested models dropdown
- Fix hover states on provider buttons and select triggers
- Update OpenAI suggested models with GPT-5 series
- Add alert-dialog component for delete confirmation
* refactor: revert shadcn component changes, apply hover fix at usage site
* feat: add AWS credentials support for Bedrock provider
- Add AWS Access Key ID, Secret Access Key, Region fields for Bedrock
- Show different credential fields based on provider type
- Update validation API to handle Bedrock with AWS credentials
- Add region selector with common AWS regions
* fix: reset Test button after validation completes
* fix: reset validation button to Test after success
* fix: complete bedrock support and UI/UX improvements
- Add bedrock to ALLOWED_CLIENT_PROVIDERS for client credentials
- Pass AWS credentials through full chain (headers → API → provider)
- Replace non-existent GPT-5 models with real ones (o1, o3-mini)
- Add accessibility: aria-labels, focus-visible rings, inline errors
- Add more AWS regions (Ohio, London, Paris, Mumbai, Seoul, São Paulo)
- Fix setTimeout cleanup with useRef on component unmount
- Fix TypeScript type consistency in getSelectedAIConfig fallback
* chore: remove unused code
- Remove unused setAccessCodeRequired state in chat-panel.tsx
- Remove unused getSelectedModel export in model-config.ts
* fix: UI/UX improvements for model configuration dialog
- Add gradient header styling with icon badge
- Change Configuration section icon from Key to Settings2
- Add duplicate model detection with warning banner and inline removal
- Filter out already-added models from suggestions dropdown
- Add type-to-confirm for deleting providers with 3+ models
- Enhance delete confirmation dialog with warning icon
- Improve model selector discoverability (show model name + chevron)
- Add truncation for long model names with title tooltip
- Remove AI provider settings from Settings dialog (now in Model Config)
- Extract ValidationButton into reusable component
* fix: prevent duplicate model IDs within same provider
- Block adding model if ID already exists in provider
- Block editing model ID to match existing model in provider
* fix: improve duplicate model ID notifications
- Add toast notification when trying to add duplicate model
- Allow free typing when editing model ID, validate on blur
- Show warning toast instead of blocking input
* fix: improve duplicate model validation UX in config dialog
- Add inline error display for duplicate model IDs
- Show red border on input when error exists
- Validate on blur with shake animation for edit errors
- Prevent saving empty model names
- Clear errors when user starts typing
- Simplify error styling (small red text, no heavy chips)
* feat: add support for custom AI Gateway base URL
- Add createGateway support with configurable baseURL
- Allow AI_GATEWAY_BASE_URL environment variable for:
* Local development with custom Gateway
* Self-hosted AI Gateway deployments
* Enterprise proxy configurations
- Maintain backward compatibility: defaults to Vercel Gateway when not set
- Update documentation with usage examples and configuration notes
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
* fix: remove errant character in error message
---------
Co-authored-by: Claude Sonnet 4.5 <noreply@anthropic.com>
Co-authored-by: dayuan.jiang <jdy.toh@gmail.com>
* feat: add Vercel AI Gateway support
- Updated environment configuration to include AI_GATEWAY_API_KEY for unified access to multiple AI providers.
- Added gateway provider to the list of supported AI providers in the codebase.
- Enhanced documentation to explain the usage of Vercel AI Gateway and its model format.
This change simplifies authentication and allows users to switch between providers seamlessly.
* Update package
@ai-sdk/gateway to latest version 2.0.21
* fix: improve Azure provider auto-detection and validation (#223)
- Fix detectProvider() to only detect Azure when it has complete config
(both AZURE_API_KEY and AZURE_RESOURCE_NAME or AZURE_BASE_URL)
- Add validation in validateProviderCredentials() for Azure to provide
clear error messages when configuration is incomplete
- Update docs/ai-providers.md to clarify Azure requires resource name
* docs: add Azure reasoning options to documentation
Previously AZURE_RESOURCE_NAME was documented in env.example but not
actually used in the code. This caused Azure OpenAI configuration to fail
when users set AZURE_RESOURCE_NAME instead of AZURE_BASE_URL.
Changes:
- Read AZURE_RESOURCE_NAME from environment and pass to createAzure()
- resourceName constructs endpoint: https://{name}.openai.azure.com/openai/v1
- baseURL takes precedence over resourceName when both are set
- Updated env.example with clearer documentation
Fixes#208
- Add AI provider settings to config panel (provider, model, API key, base URL)
- Support 7 providers: OpenAI, Anthropic, Google, Azure, OpenRouter, DeepSeek, SiliconFlow
- Client API keys stored in localStorage, never stored on server
- Client settings override server env vars when provided
- Skip server credential validation when client provides API key
- Bypass usage limits (request/token/TPM) when using own API key
- Add /api/config endpoint for fetching usage limits
- Add privacy notices to settings dialog, about pages, and quota toast
- Add clear settings button to reset saved API keys
- Update README files (EN/CN/JA) with BYOK documentation
Co-authored-by: dayuan.jiang <jiangdy@amazon.co.jp>
* feat: support minimax model with XML wrapping fix
- Add wrapWithMxFile utility to properly wrap XML for draw.io
- Fix 'Not a diagram file' error when model generates raw <root> XML
- Add supportsPromptCaching check for conditional caching
- Only enable Bedrock prompt caching for Claude models
* docs: update model mention to minimax-m2 across About pages and READMEs
- Update tooltip in chat-panel.tsx to mention minimax-m2 model change
- Update English, Chinese, and Japanese About pages with model change info
- Update English, Chinese, and Japanese READMEs with demo site model note
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Co-authored-by: dayuan.jiang <jiangdy@amazon.co.jp>
