Kihagyás

Agentic Loops

Az Agentic Loop az a runtime execution model, amelyben a rendszer egy goal eléréséhez ismételten observe → decide → act → observe ciklust futtat, miközben canonical state, budget, policy és stop condition deterministic control alatt marad.

Hasznos mental model:

Goal
 ↓
Observe
 ↓
Decide
 ↓
Act
 ↓
Observe result
 ↓
Continue / Replan / Ask / Stop

A loop nem egyszerűen „LLM gondolkodik újra és újra”. A model egy decision component; a runtime tulajdonolja az execution lifecycle-t.

Roadmap

1. Agentic Loop Mental Model

Agentic loop vs egyszerű model call; workflow vs loop; deterministic shell és bounded autonomy.

Status: first detailed draft complete.

2. Goals, Tasks and Success Conditions

User requestből explicit execution goal, scope, constraint, subtask és verifiable success condition.

Status: first detailed draft complete.

3. Observation and Environment State

Authoritative current state, observation, freshness, fact vs hypothesis, normalized tool result és environment feedback.

Status: first detailed draft complete.

4. Decision and Action Selection

Structured next-action contract, tool/skill selection, ASK/WAIT/REPLAN/STOP, deterministic vs model-driven transition.

Status: first detailed draft complete.

5. Planning and Task Decomposition

Plan-first, reactive és short-horizon planning, task decomposition, dependency graph, replanning és plan fixation.

Status: first detailed draft complete.

6. Execution State and Scratchpad

Canonical run state, context projection, scratchpad, artifact, checkpoint, resume és concurrency/versioning.

Status: first detailed draft complete.

7. Stop Conditions and Execution Budgets

Success/failure termination, iteration/tool/time/token/cost budget, no-progress detection, cancellation és nested-loop budget.

Status: first detailed draft complete.

8. Failure Recovery, Retry and Replanning

Failure classification, retry vs repair vs re-observe vs replan, idempotency, reconciliation és graceful degradation.

Status: first detailed draft complete.

9. Reflection, Verification and Critique

Self-reflection vs independent verification, deterministic verifier, critic pattern és generate → verify → repair.

Status: first detailed draft complete.

10. Human-in-the-Loop and Approval Gates

Clarification, approval, escalation, exact-action approval scope, expiry, revalidation és durable pause/resume.

Status: first detailed draft complete.

11. Loop Patterns and Control Strategies

Observe/act, plan/execute, planner/executor, verification loop, deterministic workflow + agentic island, supervisor/worker és event-driven patternök.

Status: first detailed draft complete.

12. Loop Evaluation, Observability and Anti-patterns

Outcome + trajectory evaluation, trace, cost/latency/tool efficiency, replay/failure injection és loop anti-patternök.

Status: first detailed draft complete.

Tanulási sorrend

  • 1. Agentic Loop Mental Model
  • 2. Goals, Tasks and Success Conditions
  • 3. Observation and Environment State
  • 4. Decision and Action Selection
  • 5. Planning and Task Decomposition
  • 6. Execution State and Scratchpad
  • 7. Stop Conditions and Execution Budgets
  • 8. Failure Recovery, Retry and Replanning
  • 9. Reflection, Verification and Critique
  • 10. Human-in-the-Loop and Approval Gates
  • 11. Loop Patterns and Control Strategies
  • 12. Loop Evaluation, Observability and Anti-patterns

Core architecture stance

canonical state
   ↓
purpose-specific context
   ↓
model proposes next action
   ↓
validation / authorization / budget
   ↓
capability execution
   ↓
new observation
   ↓
state transition

A model proposal és a real side effect között mindig legyen explicit runtime boundary.

Készültségi állapot

Az Agentic Loops workstream first-draft mélységben elkészült. A következő terület az Agent Architecture, amely a skilleket és loopokat teljes software systemként helyezi el.