architecture-demos-flow

Tracing a user message to an assistant response in Think TARS demos involves the create_conversation, send_message, run_turn, and dispatch_tool_call workflow. The pipeline maintains conversation and thread state in memory to execute end-to-end demo flows.

Tool dispatch isolation across multiple agents enforces that each agent uses only its permitted tools during run turns. This mechanism ensures safe, predictable demo behavior and prevents unauthorized tool execution within the Think TARS workflow.

The best way to debug conversation creation and message passing in Think TARS is to inspect the end-to-end demo pipeline from POST /api/demos/conversations to tool dispatch. This allows easy modification and extension of demo flows for testing scenarios.

A run turn may fail to execute tool calls correctly if per-agent tool isolation is violated or conversation state is lost. Debugging the demo pipeline from message sending through run execution verifies thread state and proper tool dispatch.

Yes, you can use this workflow to test new conversation thread scenarios in Think TARS. The demo flow supports easy inspection, modification, and extension of conversation lifecycle and message passing for debugging new scenarios.

You need specific demo API workflows including create_conversation, send_message, run_turn, and dispatch_tool_call to automate the Think TARS demo workflow. These endpoints handle the end-to-end pipeline from user input to assistant reply.