[do not merge] Add Agent Machine API: spec interface, tool definitions, and example#8
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Introduces a MachineAPI interface in flatagents-runtime.d.ts that lets an agent running in a tool_loop state control its own FlatMachine runtime via standard LLM function-call tools. The agent can launch/invoke child machines, inspect their checkpoints, read/write its own context, and send signals to paused machines. Key design: tool schemas are defined in language-agnostic YAML so the same API survives across Python, JS, Rust, Go, Java, and C/C++ SDKs. Each SDK implements MachineAPIToolProvider against its own runtime types. - flatagents-runtime.d.ts: MachineAPI, MachineAPIRuntimeInfo, MachineAPIStatus - sdk/examples/agent_machine_api/: full working example with orchestrator agent, echo target machine, writer-critic target machine - CLAUDE.md: document the Agent Machine API pattern https://claude.ai/code/session_01PnT2aZWTwgZzEZSx7PyUAU
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Introduces a MachineAPI interface in flatagents-runtime.d.ts that lets an agent running in a tool_loop state control its own FlatMachine runtime via standard LLM function-call tools. The agent can launch/invoke child machines, inspect their checkpoints, read/write its own context, and send signals to paused machines.
Key design: tool schemas are defined in language-agnostic YAML so the same API survives across Python, JS, Rust, Go, Java, and C/C++ SDKs. Each SDK implements MachineAPIToolProvider against its own runtime types.
https://claude.ai/code/session_01PnT2aZWTwgZzEZSx7PyUAU