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0 .212 2.947a2.38 2.38 0 0 0 .805 1.355a2.5 2.5 0 0 0 1.567.518Z\"\u002F>",{"id":49,"title":50,"body":51,"description":187,"extension":188,"meta":189,"navigation":10,"path":190,"seo":191,"stem":192,"__hash__":193},"docs\u002Fdocs\u002Fv2\u002Fconcepts\u002Fruntime-loop.md","The Runtime Loop",{"type":52,"value":53,"toc":179},"minimark",[54,58,71,76,79,128,131,135,138,141,145,148,152,159,162,170],[55,56,50],"h1",{"id":57},"the-runtime-loop",[59,60,61,62,66,67,70],"p",{},"When you call ",[63,64,65],"code",{},"axon.request()"," or ",[63,68,69],{},"axon.stream()",", the agent needs to think — assemble\ncontext, call inference, execute what the model asked for, decide when it's done. That\ncycle is the runtime loop, and it's the part of the platform you never write.",[72,73,75],"h2",{"id":74},"one-tick","One tick",[59,77,78],{},"Every iteration of the loop does the same four things:",[80,81,82,96,111,117],"ol",{},[83,84,85,89,90,95],"li",{},[86,87,88],"strong",{},"Assemble"," — the agent's current state — history, loaded prompts, tool\ndeclarations, live process snapshots — is rendered into an ",[91,92,94],"a",{"href":93},"\u002Fdocs\u002Fv2\u002Fconcepts\u002Fair-format","AIR","\ncontext window.",[83,97,98,101,102,106,107,110],{},[86,99,100],{},"Invoke"," — the context goes to the configured ",[91,103,105],{"href":104},"\u002Fdocs\u002Fv2\u002Fagent\u002Fruntime\u002Fengines","engine",".\nText streams out to you; ",[63,108,109],{},"\u003Ctypescript>"," blocks are collected.",[83,112,113,116],{},[86,114,115],{},"Act"," — collected blocks execute in the capsule, under policy. Results are\ncommitted to the session log.",[83,118,119,122,123,127],{},[86,120,121],{},"Decide"," — the loop ends only when the model has explicitly signalled completion\n",[124,125,126],"em",{},"and"," has seen the results of everything it ran. Otherwise, tick again — the next\ncontext window includes what just happened.",[59,129,130],{},"That last rule matters: an agent never ends a task without witnessing its own results.\nNo inferred stopping, no abandoned tool calls.",[72,132,134],{"id":133},"what-you-dont-configure","What you don't configure",[59,136,137],{},"None of this is exposed as configuration. Iteration limits, context compression, stop\ndetection — these are engineering problems with improving solutions, not decisions that\nshould vary per agent. Exposing them as config would make every improvement a\nmigration; keeping them managed means every agent gets the improvement automatically,\non the next runtime version.",[59,139,140],{},"Distinguishing \"task complete\" from \"waiting for input\" from \"stuck\" is one of the\nharder problems in agent design. Getting it wrong produces agents that exit early or\nspin forever. It's handled — and when the handling improves, you change nothing.",[72,142,144],{"id":143},"engines-are-inference-not-cognition","Engines are inference, not cognition",[59,146,147],{},"The engine is the model the loop calls in step 2 — nothing more. The loop, the context\nformat, the dispatch are identical whether inference comes from Axon Cloud, your\nOpenRouter key, or Ollama on your own hardware. Swapping engines changes how the agent\nthinks, never how it works.",[72,149,151],{"id":150},"everything-is-on-the-record","Everything is on the record",[59,153,154,155,158],{},"Every tick writes to the session trace in ",[63,156,157],{},"data\u002Fsessions\u002F"," — the context that was\nassembled, the output that came back, the code that ran, the results. When the agent\ndoes something unexpected, the trace shows exactly what the model saw and did.",[160,161],"hr",{},[59,163,164,169],{},[86,165,166],{},[91,167,168],{"href":93},"AIR Format"," — the context window structure, tick by tick.",[59,171,172,178],{},[86,173,174],{},[91,175,177],{"href":176},"\u002Fdocs\u002Fv2\u002Fconcepts\u002Fagent-output","Agent Output"," — the output side: why the agent\nspeaks TypeScript and how blocks execute.",{"title":180,"searchDepth":181,"depth":181,"links":182},"",2,[183,184,185,186],{"id":74,"depth":181,"text":75},{"id":133,"depth":181,"text":134},{"id":143,"depth":181,"text":144},{"id":150,"depth":181,"text":151},"The runtime loop assembles context, calls inference, executes what the model asked for and decides when it is done — and you never write it.","md",{},"\u002Fdocs\u002Fv2\u002Fconcepts\u002Fruntime-loop",{"title":50,"description":187},"docs\u002Fv2\u002Fconcepts\u002Fruntime-loop","wlPNKrsjvSKWhP1MAOrJkFgysLu7HqgKHJAgTOJ_gUY",1788121884264]