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feat: Add chat completion support for Meilisearch v1.6+
- Implement ChatManager class with chat workspace and completion methods - Add 6 new MCP tools for chat functionality: - chat-completion: Generate responses with RAG using indexed documents - create-chat-workspace: Create workspaces with default settings - update-chat-workspace: Modify existing workspace configurations - list-chat-workspaces: List all available workspaces - get-chat-workspace: Get specific workspace details - delete-chat-workspace: Remove workspaces - Add streaming support for chat completions - Include comprehensive tests for all chat features - Update README with chat feature documentation and examples This enables Meilisearch MCP users to leverage the new chat completions feature introduced in Meilisearch v1.6.0, allowing LLMs to generate contextual responses using indexed documents as knowledge base.
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‎.claude/commands/swarm/analysis.md

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# Analysis Swarm Command
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## Usage
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```bash
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claude-flow swarm "Analyze data" --strategy analysis --parallel --max-agents 8
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```
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## Description
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Data analysis and insights generation with coordinated agents.
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## Strategy Features
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- Data collection and preprocessing
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- Statistical analysis
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- Pattern recognition
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- Visualization and reporting
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## Best Practices
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- Use parallel execution for large datasets
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- Increase agent count for complex analysis
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- Enable monitoring for long-running tasks
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- Use appropriate output format (json, csv, html)

‎.claude/commands/swarm/development.md

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# Development Swarm Command
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## Usage
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```bash
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claude-flow swarm "Build application" --strategy development --mode hierarchical
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```
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## Description
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Coordinated software development with specialized agents.
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## Strategy Features
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- Architecture design
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- Code implementation
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- Testing and validation
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- Documentation generation
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## Best Practices
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- Use hierarchical mode for complex projects
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- Enable parallel execution for independent modules
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- Set higher agent count for large projects
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- Monitor progress with --monitor flag

‎.claude/commands/swarm/examples.md

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# Claude-Flow Swarm Examples
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## Quick Start Commands
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### Research Tasks
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```bash
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claude-flow swarm "Research modern web frameworks" --strategy research --mode distributed
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claude-flow swarm "Analyze market trends in AI" --strategy research --parallel --max-agents 6
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```
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### Development Tasks
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```bash
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claude-flow swarm "Build a microservice API" --strategy development --mode hierarchical
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claude-flow swarm "Create React dashboard" --strategy development --parallel --max-agents 8
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```
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### Analysis Tasks
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```bash
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claude-flow swarm "Analyze user behavior data" --strategy analysis --mode mesh
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claude-flow swarm "Performance analysis of application" --strategy analysis --monitor
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```
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### Testing Tasks
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```bash
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claude-flow swarm "Comprehensive testing suite" --strategy testing --parallel
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claude-flow swarm "Security testing analysis" --strategy testing --mode distributed
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```
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### Optimization Tasks
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```bash
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claude-flow swarm "Optimize database queries" --strategy optimization --mode hybrid
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claude-flow swarm "Frontend performance optimization" --strategy optimization --monitor
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```
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### Maintenance Tasks
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```bash
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claude-flow swarm "Update dependencies safely" --strategy maintenance --mode centralized
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claude-flow swarm "System health check" --strategy maintenance --monitor
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```
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## Advanced Usage
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### Custom Output and Monitoring
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```bash
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# Save results in different formats
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claude-flow swarm "Research task" --output sqlite --output-dir ./results
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# Enable real-time monitoring
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claude-flow swarm "Long task" --monitor --timeout 120
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# Dry run to see configuration
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claude-flow swarm "Any task" --dry-run
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```
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### Coordination Modes
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- **centralized**: Single coordinator (best for simple tasks)
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- **distributed**: Multiple coordinators (best for complex, parallelizable tasks)
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- **hierarchical**: Tree structure (best for organized, structured work)
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- **mesh**: Peer-to-peer (best for dynamic, adaptive tasks)
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- **hybrid**: Mixed patterns (best for complex workflows)
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See .claude/commands/swarm/ for detailed documentation on each strategy.

‎.claude/commands/swarm/maintenance.md

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# Maintenance Swarm Command
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## Usage
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```bash
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claude-flow swarm "System maintenance" --strategy maintenance --mode centralized
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```
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## Description
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System maintenance and updates with coordinated agents.
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## Strategy Features
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- System health checks
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- Update planning
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- Implementation coordination
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- Verification and rollback
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## Best Practices
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- Use centralized mode for controlled updates
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- Enable monitoring for safety
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- Set conservative timeouts
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- Use appropriate output for audit trails

‎.claude/commands/swarm/optimization.md

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# Optimization Swarm Command
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## Usage
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```bash
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claude-flow swarm "Optimize performance" --strategy optimization --mode hybrid
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```
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## Description
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Performance optimization with coordinated analysis and improvements.
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## Strategy Features
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- Performance profiling
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- Bottleneck identification
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- Optimization implementation
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- Validation and testing
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## Best Practices
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- Use hybrid mode for adaptive optimization
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- Enable monitoring for real-time metrics
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- Use parallel execution for multiple optimization paths
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- Set adequate timeout for thorough optimization

‎.claude/commands/swarm/research.md

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# Research Swarm Command
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## Usage
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```bash
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claude-flow swarm "Research objective" --strategy research --mode distributed
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```
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## Description
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Multi-agent research coordination with distributed intelligence gathering.
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## Strategy Features
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- Web search and data collection
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- Source credibility analysis
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- Knowledge synthesis
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- Report generation
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## Best Practices
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- Use parallel execution for multiple research threads
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- Enable monitoring for real-time progress
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- Set appropriate timeout for comprehensive research
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- Use distributed mode for complex topics

‎.claude/commands/swarm/testing.md

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# Testing Swarm Command
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## Usage
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```bash
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claude-flow swarm "Test application" --strategy testing --mode mesh
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```
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## Description
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Comprehensive testing coordination with distributed validation.
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## Strategy Features
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- Test planning and strategy
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- Test case generation
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- Parallel test execution
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- Results aggregation and reporting
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## Best Practices
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- Use mesh mode for distributed testing
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- Enable parallel execution for test suites
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- Set appropriate timeout for comprehensive testing
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- Monitor results with --monitor flag

‎.claude/config.json

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{
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"version": "1.0.58",
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"project": {
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"name": "meilisearch-mcp",
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"type": "claude-flow",
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"created": "2025-06-17T17:15:09.614Z"
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},
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"features": {
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"swarm": true,
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"sparc": true,
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"memory": true,
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"terminal": true,
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"mcp": true
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}
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}

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