* 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
