- Install @ai-sdk/deepseek package
- Add DeepSeek provider support to lib/ai-providers.ts
- Add DeepSeek configuration to env.example
- Update README.md with DeepSeek in provider list
- Support both default and custom base URL for DeepSeek
* fix: add custom anthropic baseURL
* feat: add baseURL support for all AI providers
- Add GOOGLE_BASE_URL for Google Generative AI
- Add AZURE_BASE_URL for Azure OpenAI
- Add OLLAMA_BASE_URL support (was documented but not implemented)
- Add OPENROUTER_BASE_URL for OpenRouter
- Fix missing semicolon in Anthropic case
- Update env.example with new environment variables
Closes#20
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Co-authored-by: dayuan.jiang <[email protected]>
- Add lib/cached-responses.ts with pre-generated XML for 4 example prompts
- Modify chat API route to check cache before calling AI
- Cache returns instant response (~0.26s) vs AI generation (~20-25s)
- Add "(cached for instant response)" text to example panel
- Cache only activates for first message with empty diagram
* feat: add Bedrock prompt caching for system and conversation messages
- Add cache point to system message (2558+ tokens cached)
- Add cache point to last assistant message in conversation history
- This caches the entire conversation prefix for subsequent requests
- Reduces latency and costs for multi-turn conversations
* refactor: remove duplicated system prompt
* fix: filter out messages with empty content arrays for Bedrock API
The convertToModelMessages function from AI SDK can produce messages with
empty content arrays when assistant messages have only tool call parts or
when tool results aren't properly converted. Bedrock API rejects these with
400 errors. This fix filters out invalid messages before sending to the API.
* fix: add diagnostic logging for empty message content
Added logging to capture the original UI message structure when empty content
is detected after conversion. This helps debug the root cause while the
filter provides a safety net for Bedrock API compatibility.
* fix: correct anthropic beta header config for fine-grained tool streaming
- Use bedrock.anthropicBeta for Bedrock provider (not additionalModelRequestFields)
- Use top-level headers for direct Anthropic API
- Update @ai-sdk/amazon-bedrock to 3.0.62
- Add headers support to ModelConfig interface
* fix: update @ai-sdk/amazon-bedrock to 3.0.62 for tool streaming support
- Explicitly require mcp inline comment tool for each issue
- Clarify gh pr comment is only for final summary
- Forbid dismissing issues as minor/harmless
* feat: use pull_request_target to support fork PR reviews
* feat: expand PR review scope to catch more issues
- Add categories for scope creep, suspicious .gitignore additions, UI inconsistencies
- Change from 'be very selective' to 'report ALL issues found'
- Simplify DO NOT comment list to allow more actionable feedback
- Add Examples section to README with 2-column grid layout
- Include demo images for GCP, AWS, Azure, animated connectors, and cat
- Update example panel buttons with clearer labels
- Add animated connector example button
- Add instruction for animated connectors in chat route
dayuan.jiang