your agent loop needs 8 exits
most people ship only one
1) goal met
an evaluator scores the result against a rubric and stops the run on a pass
fires when the work is measurably done
OpenAI Evals helps you build repeatable evaluators and benchmark sets
→ https://t.co/dr1GZlC75R
2) turn cap
a hard ceiling on iterations enforced by the harness
fires before an endless task burns more time and money
LangGraph helps you build stateful agent loops with runtime controls and limits
→ https://t.co/ACgBjw6XK4
3) budget cap
a limit on tokens or dollars
fires when the first budget runs out
LiteLLM tracks usage spend budgets and model calls through one gateway
→ https://t.co/CrWDt7wQgc
4) wall clock
a deadline based on elapsed time
fires when the run reaches a deploy window or the start of business hours
Prefect provides workflow orchestration timeouts retries and scheduling
→ https://t.co/9uYloMNDyQ
5) no progress
hash the state after every turn and compare the latest snapshots
fires when three turns in a row change nothing
DeepDiff and DeepHash compare and hash Python objects by their content
→ https://t.co/N3TwaxbCSL
6) human interrupt
an approval gate before risky steps plus a kill switch outside the loop
fires whenever a human decides
Microsoft Agent Framework supports production agent workflows and human in the loop control
→ https://t.co/vlQuTZg0EL
7) error threshold
count consecutive failures and reset the counter after any success
fires at n failures instead of retrying into the same wall all night
Tenacity provides configurable retry stop and wait policies for Python
→ https://t.co/yfLx7viUWk
8) external event
listen for a webhook or poll the real source of truth
fires when the PR merged or the ticket closed and the work stopped mattering
Probot helps you build GitHub Apps that react to repository events
→ https://t.co/22kxZgfQj1
a loop with one exit hangs
a loop with eight is a system
write the exits before you write the prompt
bookmark this
then read the article below
your agent loop needs 8 exits
most people ship only one
1) goal met
an evaluator scores the result against a rubric and stops the run on a pass
fires when the work is measurably done
OpenAI Evals helps you build repeatable evaluators and benchmark sets
→ https://t.co/dr1GZlC75R
2) turn cap
a hard ceiling on iterations enforced by the harness
fires before an endless task burns more time and money
LangGraph helps you build stateful agent loops with runtime controls and limits
→ https://t.co/ACgBjw6XK4
3) budget cap
a limit on tokens or dollars
fires when the first budget runs out
LiteLLM tracks usage spend budgets and model calls through one gateway
→ https://t.co/CrWDt7wQgc
4) wall clock
a deadline based on elapsed time
fires when the run reaches a deploy window or the start of business hours
Prefect provides workflow orchestration timeouts retries and scheduling
→ https://t.co/9uYloMNDyQ
5) no progress
hash the state after every turn and compare the latest snapshots
fires when three turns in a row change nothing
DeepDiff and DeepHash compare and hash Python objects by their content
→ https://t.co/N3TwaxbCSL
6) human interrupt
an approval gate before risky steps plus a kill switch outside the loop
fires whenever a human decides
Microsoft Agent Framework supports production agent workflows and human in the loop control
→ https://t.co/vlQuTZg0EL
7) error threshold
count consecutive failures and reset the counter after any success
fires at n failures instead of retrying into the same wall all night
Tenacity provides configurable retry stop and wait policies for Python
→ https://t.co/yfLx7viUWk
8) external event
listen for a webhook or poll the real source of truth
fires when the PR merged or the ticket closed and the work stopped mattering
Probot helps you build GitHub Apps that react to repository events
→ https://t.co/22kxZgfQj1
a loop with one exit hangs
a loop with eight is a system
write the exits before you write the prompt
bookmark this
then read the article below