Extends the declarative engine past cloud architecture. The tool routing was
divided by icon library — AWS through the engine, everything else hand-written
XML — which is the wrong axis. What matters is the LAYOUT SHAPE.
Measured first: a six-step approval flow declared in its natural order comes out
as one column, because the layout only arranges what nesting tells it to and
never looked at the arrows. That forces the arrow from the decision to its second
branch to jump over the first branch.
graph.ts computes what the layout should have looked at: layer assignment by
longest path, cycle breaking so a loop is drawn without setting the order, and
barycentre sweeping to cut edge crossings. It emits ordinary container
operations, so layout, routing and round-tripping are unchanged — reaching zero
arrows-through-boxes on a 14-node pipeline and zero crossings on a bipartite
graph whose declared order forces three.
Three new container kinds, each because one layout rule cannot serve them all:
pool — swimlanes. Lanes are real cells and each step is parented to its
band, so dragging a step to another role records the change.
sequence — participants across the top, one lifeline cell per participant so
head and line stay together on a drag. Messages bypass the router:
a message's height IS its order.
radial — mind maps and org charts. Children are a flat list and the
hierarchy comes from the links, because a branch is a box and a box
cannot hold children.
Flowchart box shapes (diamond, stadium, parallelogram, document) so a reader can
tell a branch from a step.
Two bugs the new tests caught: the duplicate-link guard blocked a sequence
diagram from having two messages between the same pair, and the fallback message
numbering was shared across containers, pushing a second diagram's messages off
its own lifelines.
523 unit tests and 17 diagram e2e tests pass. Every kind verified round-trip
stable to a fixed point, and rendered in a real browser — draw.io keeps the
lifeline shape and the lane markers.
* feat: add MiMo (Xiaomi) as AI provider
* fix: correct MiMo default base URL, suggested models, and reasoning support
- Default base URL was the China Token Plan endpoint (tp- keys only);
switch to https://api.xiaomimimo.com/v1 which works with standard
pay-as-you-go sk- keys. Token Plan users can override in settings.
- Replace deprecated mimo-v2-flash suggestion with mimo-v2.5
(v2 series was deprecated on 2026-06-30).
- Use createDeepSeek instead of createOpenAI so reasoning_content is
passed back during multi-turn tool calls (MiMo returns 400 without
it), matching the existing Kimi implementation.
- Add mimo to SINGLE_SYSTEM_PROVIDERS so system messages are merged.
- Fold validate-model case into the shared OpenAI-compatible group.
- Drop the Bot icon special case; models.dev serves a real xiaomi logo
via PROVIDER_LOGO_MAP.
- Document MIMO_API_KEY/MIMO_BASE_URL in env.example and
docs/{en,cn,ja}/ai-providers.md.
* feat: show base URL hint for MiMo in provider settings
MiMo has two endpoints tied to key type: pay-as-you-go keys (sk-...)
use the default api.xiaomimimo.com/v1, while Token Plan keys (tp-...)
require token-plan-cn.xiaomimimo.com/v1. Surface this under the Base
URL field like the existing MiniMax hint, in all four locales.
---------
Co-authored-by: mapengfei <mapengfei@srsj.com>
Co-authored-by: dayuan.jiang <jdy.toh@gmail.com>
Users expected setting AI_MODEL to a comma-separated list to expose
multiple models in the picker, but the value was used verbatim as a
single model id, leaving the picker with only the "Server Default"
fallback.
Add a third-priority fallback in loadEnvServerModelsConfig: when
AI_MODELS_CONFIG and ai-models.json are both absent, AI_MODEL contains
a comma, and AI_PROVIDER is set to a known provider, synthesize an
equivalent ServerModelsConfig with the provider's models trimmed,
deduplicated, and the first marked as default.
Also makes getAIModel and getValidationModel pick the first comma-split
value when falling back to AI_MODEL, so requests started before the
client picker hydrates still resolve to a real model id.
Docs (en/cn/ja) and env.example updated; tests cover the new fallback
plus the no-comma / no-AI_PROVIDER negative cases.
* feat: add file-based admin settings panel at /admin
Settings saved in the panel are written to data/settings.json and
overlaid onto process.env, taking precedence over environment
variables and applying immediately without restart. Enable by setting
ADMIN_PASSWORD; on serverless platforms without persistent disk the
panel degrades to read-only.
* polish: admin panel UI improvements
- Provider logos in credential rows (shared ProviderLogo component,
extracted from model-config-dialog)
- Scroll-spy active state in the sidebar nav
- Green success state in the save bar that clears after a few seconds
- Wider content column (max-w-6xl) for less wasted space on desktop
* polish: admin panel section toggles and reorder
- Move Quota & Rate Limits to the end of the settings page
- Add enable switches to Observability and Quota sections; default off
with fields grayed out, auto-on when any field is already configured
* polish: make section enable switch more visible
Wrap the switch in a labeled pill ('Enabled'/'Disabled') with border
and background so the off state is clearly visible.
* refactor: derive admin registry from PROVIDER_INFO, simplify page state
- Provider options, labels, and base-URL placeholders now come from
PROVIDER_INFO instead of hand-copied lists (fixes SiliconFlow .com/.cn
placeholder drift; panel names now match the model-config dialog)
- Replace free-text subgroup strings + SUBGROUP_PROVIDERS reverse map
with a typed provider field on SettingDef
- Precompute SETTINGS_BY_GROUP and PROVIDER_SUBGROUPS at module level
- Merge justSaved into saveMessage, drop unused mainRef, hoist
fetchSettings out of the component, dedupe savedText logic
- Serialize from SETTINGS_REGISTRY directly; json validators in a map
instead of a hardcoded key check
- Make allowPrivateUrls a function so ALLOW_PRIVATE_URLS edits in the
admin panel apply without restart
* feat: graphical model management in admin panel
Replace the provider credential fields and raw AI_MODELS_CONFIG JSON
textarea with a Models section mirroring the in-app model settings UI:
provider instance list with logos, credential fields per provider type,
model add/remove with suggestions, per-model connectivity test, and a
default-provider star.
On save the server derives everything the runtime needs into
settings.json: credential env vars (with _2 suffixes for multiple
instances of one provider), AI_MODELS_CONFIG, and AI_PROVIDER/AI_MODEL
for the default. Secrets round-trip as masked markers and are never
sent back to the browser. The general settings registry now only
covers non-provider settings (generation, access, features,
observability, quota).
* fix: allow testing unsaved providers in admin panel
The test button previously looked up credentials by providerId in the
saved settings, so testing a newly added (unsaved) provider failed with
'Unknown provider or model'. The test endpoint now accepts the client's
current provider state; newly typed secrets are used as-is and masked
markers are resolved against the stored values, so testing works both
before and after saving.
* fix: merge env AI_MODELS_CONFIG with admin panel providers
Previously, saving in the admin panel wrote a complete AI_MODELS_CONFIG
into settings.json, which (by overlay precedence) replaced any config
from .env or ai-models.json — admins lost their env-configured models.
The panel no longer writes AI_MODELS_CONFIG. Instead its providers are
merged with the env baseline at read time in loadRawServerModelsConfig,
and panel credentials go to ADMIN_-prefixed env vars wired up via
apiKeyEnv/baseUrlEnv so they never shadow standard vars. Env-based
providers now appear read-only in the panel, name clashes are rejected,
and a panel default overrides the env default. data/ is now gitignored.
* fix: block global-credential providers already managed via env
Bedrock, Vertex AI, and Ollama credentials live in fixed env vars with
no apiKeyEnv redirection, so a panel instance of one of these would
silently override the credentials that env-configured models rely on.
The API now rejects saving such a provider when the env config already
uses that type, and the Add Provider dropdown disables it with a
'managed via env' note.
* fix: address admin panel review findings
- Security: test-model no longer resolves a stored secret when the
request's baseUrl/provider differs from the stored entry, closing a
path where a tampered baseUrl could exfiltrate a saved key
- Save failures are now visible: the save bar shows the error in red
(was masked by the persistent 'Unsaved changes' text), and per-field
validation errors from the settings API are surfaced under each field
- The Observability/Quota enable switch is now real: toggling off stages
deletion of the group's saved values, and the toggle no longer snaps
back to Enabled after saving
- Env provider's default star is hidden when a panel provider is the
active default (no more double star)
- Clearing a credential field reverts to the stored value instead of
silently deleting it; an explicit X button removes a stored secret
- Form inputs are disabled during an in-flight save
* refactor(admin): split 1549-line admin page into focused modules
Extract admin-shared.ts (types + fetch helper), setting-field.tsx
(registry-driven fields), and models-section.tsx (provider/model
manager) from page.tsx. Pure mechanical move, no behavior change.
* feat(admin): share credential fields with user dialog and localize panel
Extract ProviderCredentialsFields (display name + per-provider
credential inputs) used by both the user ModelConfigDialog and the
admin Models panel; secret input passed via renderSecret (plaintext
vs masked), test button via footer slot. Add full i18n for the admin
panel across en/zh/ja/zh-Hant, reusing modelConfig.* for shared parts.
* fix(admin): address Copilot review findings
- Reflect built-in defaults for boolean settings (ALLOW_PRIVATE_URLS
defaults on) and allow clearing a saved boolean back to default,
so the SSRF toggle matches actual runtime behavior.
- Harden JSON loading: filter settings values to strings only, and
schema-validate stored ADMIN_PROVIDERS entries, dropping malformed
ones instead of letting them reach runtime code.
- Set beforeunload returnValue so the unsaved-changes prompt shows in
all browsers; reject non-finite numbers in settings validation.
- Fix README/CN/JA docs that claimed the panel auto-generates
AI_MODELS_CONFIG (providers are merged at read time, not written).
- Add unit tests for corrupted-file value filtering and provider
schema validation.
* docs: move admin panel details to dedicated docs/{en,cn,ja}/admin-panel.md
The READMEs now carry a short blurb + link, matching the existing
per-topic docs (docker.md, ai-providers.md, ...). Removes the ~22-line
inline section and the duplicated data/settings.json mentions.
* fix(admin): address follow-up Copilot findings on the prior fixes
- loadAdminProviders now validates against a stored-shape schema where
secrets are plain strings, so a hand-edited ADMIN_PROVIDERS holding an
{isSet} marker is dropped instead of later crashing maskSecret().
- loadSettings guards against array values (typeof [] === 'object'),
which would otherwise overlay numeric keys onto process.env.
- Admin SecretInput uses the bare id so the shared component's
<Label htmlFor> stays associated (only one ProviderDetail mounts).
- Add tests: marker-secret rejection, array-values guard, bedrock
multi-secret round-trip.
- 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>
* feat: update about page examples with new diagrams
Replace old cloud architecture and cat examples with ResNet50, RAG,
Authentication, Agile Scrum, and Open Innovation diagrams.
Update all three language versions (EN, CN, JA) for consistency.
* fix: correct ResNet50 prompt text and keep prompts in English
Update the ResNet50 example prompt to match the actual diagram.
Keep all prompt texts in English across CN and JA about pages
since prompts are what users type into the AI.
* docs: update README examples to match about page
Replace GCP, AWS, Azure examples with ResNet50, RAG, Auth,
Agile Scrum, and Open Innovation. Keep Animated Transformer
and Cat Sketch. Keep prompts in English across all versions.
* docs: remove ResNet50 and Agile Scrum examples from READMEs
---------
Co-authored-by: dayuan.jiang <jdy.toh@gmail.com>
- 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
- Update docs in EN/CN/JA
Co-authored-by: PR Bot <pr-bot@minimaxi.com>
- Replace newyear-referral URL with new Coding Plan referral URL across all files
- Update model name from K2-thinking to glm-4.7
- Add volcengine invite poster to Chinese README and about page
* 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>
* feat: add Material Design Icons shape library (#685)
Add Google Material Design Icons as a new shape library using Google's
CDN. Includes top 300 most popular icons by usage, and updates system
prompts to guide the AI to call get_shape_library before using any icon
library.
* fix: align get_shape_library guidance for non-cloud icon libraries
* [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>
- Add missing "Problem" statement to FAQ #4 for consistency
- Update vision model recommendations to latest versions (GPT-5.2, Claude 4.5 Sonnet, Gemini 3 Pro)
- Add FAQ.md in English, Chinese, and Japanese
- Link FAQ from each language README
- Cover: PDF export, offline deployment, self-hosted models, image upload
* docs: reorganize docs into en/cn/ja folders
- Move documentation files into language-specific folders (en, cn, ja)
- Add Chinese and Japanese translations for all docs
- Extract Docker section from README to separate doc file
- Update README to link to new doc locations
* docs: fix links to new docs folder structure
* docs: update README and provider docs
* docs: fix broken import statements in cloudflare deploy guides
* docs: sync CN/JA READMEs with EN structure and fix all paths
* 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>
* docs(cloudflare): add detailed Cloudflare Workers + R2 deploy guide
* separated cloudflare deploy guide from readme.md
* Missing R2 bucket binding for incremental cache
* docs: move Cloudflare guide to docs/ and improve documentation
- Move Cloudflare_Deploy.md to docs/ folder
- Add 'Deploy without R2' option for simple/free deployments
- Add workers.dev subdomain registration instructions
- Add missing global_fetch_strictly_public flag
- Add troubleshooting for common deployment issues
- Update README.md link to new location
* fix: conditional import for cloudflare dev and regenerate lockfile
- Use dynamic import for @opennextjs/cloudflare to avoid loading workerd during builds
- Regenerate package-lock.json with cross-platform dependencies
* fix: use main lockfile with cloudflare deps added
- Use main branch's package-lock.json as base to ensure cross-platform deps
- Add @opennextjs/cloudflare and wrangler
---------
Co-authored-by: dayuan.jiang <jdy.toh@gmail.com>
* docs: add cross-domain troubleshooting to offline deployment guide
* make it simple
* Remove common issues section from offline deployment docs
Removed common issues section regarding cross-domain configuration and rebuilding after configuration changes.
* feat: add get_shape_library tool for AI icon discovery
- Add server-side tool that returns shape library documentation
- AI can fetch icon/shape names on-demand before generating diagrams
- Includes path traversal protection and input sanitization
- Library index embedded in tool description for discoverability
- Supports 33 libraries: AWS, Azure, GCP, Kubernetes, Cisco, etc.
* fix: improve get_shape_library error handling and imports
- Move fs/path imports to top of file (avoid dynamic imports per call)
- Distinguish file-not-found vs other errors in catch block
- Include invalid input in validation error message
- Log unexpected errors for debugging
* docs: add get_shape_library to system prompt tool list
- Add Tool4 (get_shape_library) to available tools section
- Add usage guidance in 'Choose the right tool' section
- Update AWS icons note to reference get_shape_library for icon discovery
* fix: display get_shape_library tool output in chat UI
* fix: correct state check for get_shape_library output display
* fix: make get_shape_library output respect fold state
* style: auto-format with Biome
---------
Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
* 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 MCP server package for npx distribution
- Self-contained MCP server with embedded HTTP server
- Real-time browser preview via draw.io iframe
- Tools: start_session, display_diagram, edit_diagram, get_diagram, export_diagram
- Port retry limit (6002-6020) and session TTL cleanup (1 hour)
- Published as @next-ai-drawio/mcp-server on npm
* chore: bump version to 0.1.2
* docs: add MCP server section to README (preview feature)
* docs: add multi-client installation instructions for MCP server
* fix: exclude packages from Next.js build
* docs: use @latest instead of -y flag for npx (match Playwright MCP style)
* chore: bump version to 0.4.3 and add release notes
* chore: remove release notes
* feat: add MCP server notice to example panel
* 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
## Summary
Add support for self-hosted draw.io instances via build-time configuration.
## Problem
In some corporate environments, `embed.diagrams.net` is blocked by network policies.
Users cannot use the application without access to the default draw.io embed URL.
## Solution
- Add `NEXT_PUBLIC_DRAWIO_BASE_URL` environment variable support
- Pass the `baseUrl` prop to the `DrawIoEmbed` component
- Configure Dockerfile to accept build-time argument for the draw.io URL
## Usage
```yaml
# docker-compose.yaml
services:
drawio:
image: jgraph/drawio:latest
ports:
- "8080:8080"
next-ai-draw-io:
build:
context: .
args:
- NEXT_PUBLIC_DRAWIO_BASE_URL=http://drawio:8080
```
Or build directly:
```bash
docker build --build-arg NEXT_PUBLIC_DRAWIO_BASE_URL=http://localhost:8080 -t next-ai-draw-io .
```
**Note:** This is a build-time configuration. To change the draw.io URL, you need to rebuild the Docker image.
- 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
---------
Co-authored-by: dayuan.jiang <jiangdy@amazon.co.jp>
* Fix: remove hardcoded temperature parameter to support reasoning models
* feat: make temperature configurable via AI_TEMPERATURE env var
- Instead of removing temperature entirely, make it optional via env var
- Set AI_TEMPERATURE=0 for deterministic output (recommended for diagrams)
- Leave unset for models that don't support temperature (e.g., GPT-5.1 reasoning)
* docs: add AI_TEMPERATURE env var documentation
- Update env.example with AI_TEMPERATURE option
- Update README.md configuration section
- Add Temperature Setting section in ai-providers.md
* docs: add TEMPERATURE env var documentation
- Update env.example with TEMPERATURE option
- Update README.md, README_CN.md, README_JA.md configuration sections
- Add Temperature Setting section in ai-providers.md
- Update route.ts to use TEMPERATURE env var
---------
Co-authored-by: dayuan.jiang <jiangdy@amazon.co.jp>
- Add docs/ai-providers.md with detailed setup instructions for all providers
- Update README.md, README_CN.md, README_JA.md with provider guide links
- Add model capability requirements note
- Simplify provider list in READMEs
Closes#79
