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Get running in 5 minutes. Learn the basics and run your first multi-model workflow.
Run a workflow that uses multiple models to verify an answer.
1tachibot workflow run general-council "What are the best practices for REST API design?"Make models debate and build on each other’s ideas.
1tachibot pingpong \2 --rounds 5 \3 --style collaborative \4 "Design a scalable microservices architecture"Control which tools load to manage token usage.
1{2 "tools": {3 "think": true,4 "focus": true,5 "perplexity_ask": true,6 "grok_reason": false,7 "gemini_brainstorm": true8 }9}1name: api-verification2description: Verify API design with multiple models3 4steps:5 - tool: openai_brainstorm6 params:7 problem: "Design REST API for user authentication"8 quantity: 39 output: ideas10 11 - tool: perplexity_reason12 params:13 query: "REST API authentication best practices"14 output: research15 16 - tool: plan_critique17 params:18 plan: "${ideas} based on ${research}"1tachibot workflow run my-workflow1tachibot jury \2 --jurors "perplexity,grok,openai" \3 "Is this API endpoint design correct?"1tachibot workflow run code-review \2 --file ./src/auth.ts1tachibot perplexity_reason \2 "Latest trends in AI model orchestration"