* fix: update Docker workflow to use correct target stage name
- Change target from bolt-ai-production to runtime
- Matches the actual stage name in the new Dockerfile structure
- Fixes CI failure: target stage 'bolt-ai-production' could not be found
* fix: resolve critical Docker configuration issues
This commit fixes multiple critical Docker configuration issues that prevented successful builds:
**Dockerfile Issues Fixed:**
- Replace incomplete runtime stage with proper production stage using Wrangler
- Add missing environment variables for all API providers (DeepSeek, LMStudio, Mistral, Perplexity, OpenAI-like)
- Use correct port (5173) instead of 3000 to match Wrangler configuration
- Add proper bindings.sh script copying and execution permissions
- Configure Wrangler metrics and proper startup command
**Docker Compose Issues Fixed:**
- Add missing `context` and `dockerfile` fields to app-dev service
- Fix target name from `bolt-ai-development` to `development`
**Package.json Issues Fixed:**
- Update dockerbuild script to use correct target name `development`
**Testing:**
- ✅ Both `pnpm run dockerbuild` and `pnpm run dockerbuild:prod` now work
- ✅ All environment variables properly configured
- ✅ Docker images build successfully with proper Wrangler integration
Resolves Docker build failures and enables proper containerized deployment.
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
* Update Dockerfile
* fix: update GitHub workflow Docker targets to match Dockerfile stage names
Update ci.yaml and docker.yaml workflows to use correct Docker target stage name 'bolt-ai-production' instead of 'runtime'.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* Refactor Dockerfile for optimized production build
Adds git installation for build/runtime scripts and introduces a separate prod-deps stage to prune dependencies before final production image. Updates file copy sources to use prod-deps stage, improving build efficiency and image size.
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Co-authored-by: Claude <noreply@anthropic.com>
* fix: resolve Docker build syntax errors and merge conflicts
- Fix incomplete ARG HuggingFace declaration to ARG HuggingFace_API_KEY
- Fix invalid WORKDIR variable reference ${WORKDIR}/run to /app/run
- Resolve merge conflicts preserving both runtime and development stages
- Add proper development stage with corrected environment variables
- Ensure both dockerbuild and dockerbuild:prod targets work correctly
Resolves Docker build error: "target stage 'bolt-ai-development' could not be found"
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
* ci: add comprehensive Docker build validation to main CI pipeline
- Add docker-validation job to ci.yaml workflow
- Test both runtime (production) and development Docker targets
- Validate docker-compose configuration syntax
- Run on all PRs and pushes to catch Docker build issues early
- Set 15-minute timeout to prevent hanging builds
- Use --no-cache and --progress=plain for reliable validation
This ensures Docker build syntax errors like #1996 are caught in CI
before they reach main branch, preventing deployment failures.
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
* fix: use modern docker compose command syntax in CI
- Change docker-compose to docker compose (GitHub Actions uses Docker Compose v2)
- Fixes CI failure: docker-compose: command not found
- Ensures docker-compose validation works in GitHub Actions runners
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Co-authored-by: Claude <noreply@anthropic.com>
The Docker build process was failing with an out-of-memory error during the `pnpm run build` step in the `bolt-ai-production` stage.
This commit increases the memory available to Node.js by modifying the build command to include the `--max-old-space-size=4096` flag. This provides 4GB of memory to the Node.js process, which should be sufficient to complete the build.
* feat: Integrate AWS Bedrock with Claude 3.5 Sonnet, Claude 3 Sonnet, and Claude 3.5 Haiku
* update Dockerfile for AWS Bedrock configuration
* feat: add new Bedrock model 'Mistral' and update Haiku to version 3
* feat: add new bedrock model Nova Lite and Nova Pro
* Update README documentation to reflect the latest changes
* Add the icon for aws bedrock
* add support for serialized AWS Bedrock configuration in api key
- Create detailed provider implementation guide with:
- Architecture overview and implementation steps
- Configuration patterns and best practices
- Testing checklist and Docker integration guide
- Example using Together AI implementation
- Add Together AI as new provider with:
- Environment variables and Docker configuration
- Support for Qwen, Llama, and Mixtral models
- API key and base URL management
- OpenAI-compatible API integration
