momentic.config.yaml ai.agentConfig
block. Momentic generally announces agent deprecations at least 90 days in
advance.
The recommended agents use the latest models. They are specifically tuned to
strongly respect memory (insights saved from past runs) as well as
custom knowledge base entries.
All agents have built-in fallback mechanisms to handle AI provider outages and
disruptions. During such downtime, agents may incur additional latency or
exhibit different behavior. However, Momentic uses multiple mechanisms such as
memory and knowledge base, and
failure recovery to reduce
the frequency and impact of AI non-determinism on your tests.
What each agent does
Locates elements from a natural language description, used by Click,
Type, and Element check steps. Strongly respects single quoted text
values, builds more accurate caches, and achieves 15% lower latency compared
to
v3. Scores 10% better on our internal web automation benchmark.Evaluates natural language statements against a snapshot of the page, used by
AI check steps. Strongly respects single quoted text values and discerns
visual detail more accurately. Improves by 8% on our internal web assertion
benchmark with 22% reduced latency compared to
v3.Evaluates natural language statements from a viewport screenshot. Reasons
about position more accurately than previous versions. Scores 12% better on
our internal visual understanding benchmark.
Extracts structured data from the page given a JSON schema, used by AI
extract steps. Handles nested objects and arrays.
Generates and executes recovery steps when a recoverable failure is detected.
Requires
ai.failureRecovery.