* Cutting of agentic loop based on max_iterations configured.

[printSamarth]

Description

Adds a max_iterations configuration to Agent that bounds the number of "model turn → tool call → tool result" cycles per invocation, with a dedicated MaxIterationsReachedException raised when the limit is exceeded.

Motivation. Today the event loop runs until the LLM decides to stop. In production this exposes two risks:

Infinite reasoning loops — a tool error or confusing prompt can send the model into a hallucination loop, calling tools repeatedly without ever reaching end_turn.
Unpredictable latency / cost — without an explicit depth limit, a single user request can trigger many model turns and burn unbounded tokens.

API:

agent = Agent(tools=[my_tool], max_iterations=5)
try:
    response = agent("Perform a complex multi-step task")
except MaxIterationsReachedException as e:
    log.warning("agent stopped", iterations=e.iterations, limit=e.max_iterations)

max_iterations is None by default (preserves existing behavior). Positive integers only; 0, negatives, non-ints, and booleans are rejected at construction time.

Implementation.

New MaxIterationsReachedException in strands.types.exceptions carrying iterations and max_iterations for structured logging.
New max_iterations constructor kwarg on Agent, validated to be a positive int or None.
The event loop tracks invocation_state["event_loop_iteration"] and the guard is enforced at the top of event_loop_cycle, before the next model call — so an over-limit cycle never consumes an additional model invocation. The exception is added to the bubble-up list so it isn't wrapped in EventLoopException.
Iteration semantics. One iteration = one model turn (not one tool call). Parallel tool use counts as a single iteration. This matches what the cap is intended to bound (reasoning depth / API calls), and avoids penalizing models that parallelize independent tool calls.

Related Issues

Resolves 2298

Documentation PR

N/A : happy to follow up with a docs PR once this merges.

Type of Change

New feature

Testing

Added the following coverage:

tests/strands/types/test_exceptions.py : construction, inheritance, and metadata propagation for MaxIterationsReachedException.
tests/strands/agent/test_agent.py : constructor validation (default None, positive int, rejection of 0 / -1 / 1.5 / "5" / True), plus end-to-end tests through the public API using MockedModelProvider:
runaway tool loop is bounded and raises with correct metadata
normal completion succeeds when within the budget
iteration counter resets between separate invocations
tests/strands/event_loop/test_event_loop.py : limit exceeded raises before the next model call (model.stream.call_count asserted), within-limit completes normally, None disables the check, and a pre-set counter trips the guard on the very first cycle.
A small number of existing tests that pinned the exact shape of invocation_state keys passed to callbacks were updated to include the new event_loop_iteration key consistent with how event_loop_cycle_id is already exposed.

Apart from this manualy tested by integrating it into a local project to verify end-to-end behavior.

• I ran hatch run prepare

Checklist

• I have read the CONTRIBUTING document
• I have added any necessary tests that prove my fix is effective or my feature works
• I have updated the documentation accordingly
• I have added an appropriate example to the documentation to outline the feature, or no new docs are needed
• My changes generate no new warnings
• Any dependent changes have been merged and published

---

By submitting this pull request, I confirm that you can use, modify, copy, and redistribute this contribution, under the terms of your choice.