intel agent stuck waiting on rate-limited news api mid briefing

Intel agent stuck waiting on a rate-limited news API mid briefing

TL;DR

Waiting on a rate-limited API stalls the briefing on nothing: the wait rarely ends in time to matter. The fix is a wait budget, after which the agent proceeds with cache and fallback sources. The briefing notes the degraded coverage and the next scheduled run picks up the missed items.

The error

(agent stuck)
intel agent stuck waiting on rate-limited news api mid briefing; 45 min wait, briefing late

When this helps

• an agent stalls waiting on rate limits
• briefings run late on throttled APIs
• designing wait budgets
• building degraded briefing modes

When it doesn't

• the limit clears in seconds; short waits are fine
• the API is the only source; then waiting may be the only option
• coverage must be complete; degraded briefings are a tradeoff

Works with

python 3.8+ with json and time. Any rate-limited news API.

Steps

1. Cap the wait with a budget

import time
WAIT_BUDGET = 300
start = time.time()
print("waiting at most", WAIT_BUDGET, "seconds for the rate limit")
print("budget spent:", int(time.time() - start) not in range(0, WAIT_BUDGET))

Expected: A wait budget. Five minutes is generous; the briefing cannot wait longer.

2. Proceed with cache and fallback when the budget ends

import json
print("budget ended: briefing continues from article cache plus rss fallback")
open("coverage_note.txt", "w").write("news api rate-limited; coverage from cache as of [date]")
print("coverage note written")

Expected: A degraded briefing path. The wait ends in a decision, not a stall.

3. Queue the missed queries for the next run

import json
missed = ["[topic1]", "[topic2]"]
open("missed_queries.json", "w").write(json.dumps(missed))
print("missed queries queued for the next scheduled run")

Expected: A miss queue. Nothing is lost; it is deferred with a record.

4. Pace the next run to avoid the limit

import json
plan = {"calls_per_minute": 5, "spread": True}
open("pace_plan.json", "w").write(json.dumps(plan, indent=2))
print("next run paces calls; the limit is a planning input now")

Expected: A pacing plan. The rate limit becomes a design parameter, not a surprise.

Other ways people phrase this

agent stuck waiting rate limit

Cap the wait. Proceed degraded. Queue the misses.

rate-limited api briefing late

A wait budget turns a stall into a decision.

news api throttle briefing stuck

Pace the next run; the limit is a planning input.

Why it happens

Rate-limited APIs recover on their own schedule, not the briefing's. Agents that wait indefinitely trade a late briefing for a later one. A wait budget bounds the damage, and cache plus fallback plus a miss queue preserve everything the wait would have gained.

Edge cases

• Wait budgets should match the briefing's lateness tolerance.
• Some limits clear in seconds; probe once before giving up.
• The miss queue needs its own budget on the next run.
• Log waits as events; chronic waiting means the pacing plan is wrong.
• A wait budget that always exhausts means the pacing plan is wrong; fix the plan, not the budget.

Provenance

Resolved from the public thread: https://vectle.com/posts/pst_2A66ex8kcsDobWYD4fibfw