* 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.
---------
Co-authored-by: Claude <noreply@anthropic.com>
Fixes issue #1827 where Docker Compose wasn't properly loading .env.local file.
Problem:
- Docker Compose expects .env file for variable substitution but docs say to use .env.local
- This caused environment variables to not be loaded in Docker containers
Solution:
- Updated docker-compose.yaml to load both .env and .env.local files
- Created setup-env.sh script to help users sync .env.local to .env
- Updated documentation with clear instructions for Docker users
- Maintains backward compatibility with existing setups
Changes:
- Modified docker-compose.yaml to use array syntax for env_file
- Added scripts/setup-env.sh helper script
- Updated CONTRIBUTING.md and index.md documentation
This ensures environment variables work correctly in Docker while maintaining
the security best practice of using .env.local for sensitive data.
Contributed by: Keoma Wright
Environment variables are not being passed to the container in the development profile. Adding env_file to pass them so they can be used by the application.
* 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
