fix(llm): stop retrying a run once one model call has used its whole budget by Thanatos9404 · Pull Request #656 · EvoScientist/EvoScientist

Thanatos9404 · 2026-10-18T10:08:11Z

Description

The model retry budget belonged to one model call. When a sub-agent's call waited out its budget and failed, the task tool handed the failure back as a tool error, the main agent carried on, and its next call started a budget of its own. With the provider still down, one run could wait about twice the budget (an hour with the unattended default), and longer if the main agent kept dispatching the sub-agent.

Once one model call in a run has used its whole budget, later model calls in that run are tried once and not retried, as the issue describes. A call that recovers does not mark the run, so a run can still wait more than one budget in total.

How it works:

Every gateway run already carries its retry tier as configurable["model_retry"], a dict that resolve_per_run_config builds fresh for each run. LangGraph merges configurable shallowly into each node's config and into the sub-agents the task tool starts, so all model calls of a run, sub-agents included, see that same dict. I checked this on the real graph: within a run the main agent and the sub-agent read the same object, and the next run gets a new one.
When a call gives up because its budget is used (the next wait does not fit in what is left, or a wait ran past the deadline), ModelRetryMiddleware sets budget_spent on that dict. A provider Retry-After longer than what is left ends only that call and does not mark the run while its own backoff would still fit.
The layer checks the flag before every wait. A later call in a spent run is tried once and its failure goes straight out, with a log line saying why. A call that is still retrying when another call runs out (two sub-agents at once) stops at its next wait.
The async and sync paths share these helpers, so they behave the same.
The main graph's rubric grader and /goal layers build their retry layer with the run key honoured too, so they also stop retrying once the run is marked spent.

What stays the same: a call that recovers within its budget, or fails for a reason that is not transient, does not mark the run. Layers built with honor_run_key=False (the scheduler graph and its grader) ignore the marker as before. Runs that carry no marker (WebUI and the other runs the server starts on its own) keep a budget per call. The next message is a new run with a full budget.

The cost is the one in the issue: a run whose provider comes back between one and two budgets used to get through (the main agent waited, then dispatched the sub-agent again) and now ends. docs/guides/model-retry.md now describes when a run's retries end instead of listing the second wait as a consequence of a per-call budget.

Fixes #626

Tests

tests/test_model_retry.py, with the injected clock and sleep: a spent run leaves later calls one try, on the async and the sync path; a wait that overran counts as using the budget; a call that is still retrying stops once another one runs out; the next run gets a full budget; a recovered call, a non-transient failure, and a Retry-After longer than the whole budget leave the run its retries; a layer that ignores the run key, and calls made outside a run, keep a budget each.
tests/test_model_retry_graph.py, on the real main graph: a sub-agent reached through task waits out a 60 s budget (55 s of waits), then the main agent's next call fails once. On main that call is retried and the run carries on; with this change it is not, the run waits 55 s in all and ends with the error. A second test checks that the next turn on the same thread gets a full budget again. The waits fixture there now also injects a clock that only the recorded waits move and a fixed jitter draw, so a budget means something in these tests without any real waiting.

Results (Windows 11, Python 3.13):

On main, 6 of the new tests fail (the later call is retried); with this change tests/test_model_retry.py and tests/test_model_retry_graph.py pass, 79 tests, and all six model-retry test files pass, 151 tests.
uv run pytest --timeout=60: 6792 passed, 68 skipped, 11 failed; the same 11 fail on main on this machine, all with OSError: [WinError 1314] when a test creates a symlink.
uv run ruff check . and uv run ruff format --check .: passed.

Type of change

Checklist

I have read the Contributing Guidelines
This targets core functionality used by the majority of users (niche features belong in EvoSkills)
I have added/updated tests where applicable
uv run ruff check . passes
uv run pytest passes (apart from the 11 symlink-permission failures above, which fail on main too)

Summary by CodeRabbit

Improvements
- Model retries now share a wait budget across calls in the same run, including sub-agent calls. After the budget is exhausted, later calls run without retries.
- Each new run receives a fresh retry budget. Calls recovering within budget, or whose first failure exceeds the budget’s Retry-After delay, leave the budget available.
- Server-started runs use the server’s configured retry settings.
Documentation
- Updated the model-retry guide to explain retry budgets across calls and runs.

The retry budget belonged to one model call, so a sub-agent could wait out its whole budget, fail its task, and leave the main agent a fresh budget for its next call: one run could wait about twice the budget. A call that runs out of budget now records that on the run's model_retry marker, which every model call of the run shares, sub-agents included. Later calls in that run are tried once and not retried, and a call that is still retrying stops at its next wait. A Retry-After longer than what is left ends only that call. Runs without the marker keep a budget per call. The guide now describes the run-wide budget. Fixes EvoScientist#626

coderabbitai · 2026-10-18T10:08:29Z

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EvoScientist/middleware/model_retry.py
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EvoScientist/backends.py

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📝 Walkthrough

Retry-budget exhaustion is now shared across model calls that use the same run marker. Later calls in that run are attempted without retries. Calls without a usable run marker retain independent budgets. Tests and documentation cover these behaviors.

Changes: Run-scoped retry budget

Layer / File(s)	Summary
Track and enforce run-scoped retry exhaustion `EvoScientist/backends.py`, `EvoScientist/middleware/model_retry.py`	The run marker records retry-budget exhaustion. Async and sync paths read and update it. Over-budget waits can mark the run exhausted, while an initial oversized provider `Retry-After` ends only the current call.
Validate shared budgets across calls `tests/test_model_retry.py`	Tests cover shared exhaustion, fresh runs, over-budget waits, concurrent calls, retry-after waits, ignored markers, and independent calls.
Verify graph behavior and document run semantics `tests/test_model_retry_graph.py`, `docs/README.md`, `docs/guides/model-retry.md`	Graph tests verify sub-agent budget use before a main-agent call and reset behavior on a later turn. Documentation describes run-scoped and server-started retry budgets.

Priority: ➖ Normal

Estimated code review effort: 3 (Moderate) | ~25 minutes

Change: Bug fix · Severity of issue fixed: Medium

Sequence Diagram(s)

sequenceDiagram
  participant GatewayRun
  participant ModelRetryMiddleware
  participant RunMarker
  participant SubAgentModelCall
  participant MainAgentModelCall
  GatewayRun->>ModelRetryMiddleware: Start sub-agent model call
  ModelRetryMiddleware->>RunMarker: Read retry exhaustion
  ModelRetryMiddleware->>SubAgentModelCall: Retry transient failures
  SubAgentModelCall-->>ModelRetryMiddleware: Exhaust retry budget
  ModelRetryMiddleware->>RunMarker: Record run exhaustion
  GatewayRun->>ModelRetryMiddleware: Start main-agent model call
  ModelRetryMiddleware->>RunMarker: Read retry exhaustion
  ModelRetryMiddleware-->>MainAgentModelCall: Attempt without retries

Suggested reviewers: x-izhang, jfilipiuk

Merge Risk: ⚪ Minimal · up to 0b529

The concurrent retry behavior matches the intended run-scoped budget. No identified issue needs to be fixed before merging.

Pre-merge checks: 4 · 1

Failed checks: 1 warning

Check name	Status	Explanation	Resolution
Docstring Coverage		Docstring coverage is 26.09% which is insufficient. The required threshold is 80.00%. Docstring coverage is scoped to functions touched by this diff. Analyzed 46 functions across 4 files.	Write docstrings for the functions missing them to satisfy the coverage threshold.

Passed checks: 4 passed

Check name	Status	Explanation
Description Check		Check skipped - CodeRabbit’s high-level summary is enabled.
Title check		The title clearly and concisely describes the main change: stopping retries across a run after one model call exhausts its full retry budget.
Linked Issues check		Issue `#626` requires one retry budget across model calls in one run. `ModelRetryMiddleware` shares `budget_spent` through `configurable["model_retry"]` and stops retries after budget exhaustion. The be…
Out of Scope Changes check		The changes stay within Issue `#626`. Middleware changes implement the run-wide retry cutoff. Tests verify the required model-call and graph behavior. Documentation describes the changed retry scope. No…

Full details: Linked Issues check

Explanation

Issue #626 requires one retry budget across model calls in one run. ModelRetryMiddleware shares budget_spent through configurable["model_retry"] and stops retries after budget exhaustion. The behavior covers main-agent calls, sub-agent calls, async execution, and sync execution. Tests cover exhausted budgets, concurrent calls, fresh runs, recovery, non-transient failures, and Retry-After handling.

Full details: Out of Scope Changes check

Explanation

The changes stay within Issue #626. Middleware changes implement the run-wide retry cutoff. Tests verify the required model-call and graph behavior. Documentation describes the changed retry scope. No unrelated product behavior is identified.

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Inline comments:
Review comments at @docs/guides/model-retry.md:
- Line 23: Update the run-wide wait description in the model retry guidance:
clarify that total wait can exceed one budget when a call succeeds before
exhausting its budget and a later call also retries. State that the marker
prevents later retries only after a call exhausts its budget.

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EvoScientist/backends.py
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tests/test_model_retry_graph.py

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Only a call that uses its whole budget stops the run's retries. A call that recovers within its budget, or gives up on a Retry-After longer than what is left while its own backoff would still fit, leaves the next call a full budget, so the waits of a run's calls can add up to more than one budget. The guide and the run key comment said a run waits about one budget in all, and the docs index and the middleware docstring described the budget as shared by the run; they now state the distinction.

X-iZhang

Thanks @Thanatos9404, the run-wide mark and the graph-level tests look right. One change to the Retry-After exception, flagged inline at EvoScientist/middleware/model_retry.py, with a test and the matching wording in docs/guides/model-retry.md; plus a sync-path test in tests/test_model_retry.py.

X-iZhang · 2026-10-19T14:41:49Z

+            # A Retry-After longer than what is left ends this call only; the
+            # run's budget is used up once the backoff itself no longer fits.
+            if now + max(backoff, MIN_WAIT_SECONDS) > deadline:


This also leaves the run unmarked when the call has already waited most of its budget on Retry-After waits. With a 60 s budget and a provider that keeps answering 429 with retry-after: 25, the call waits 25 + 25 s and gives up at 50 s because the next 25 s does not fit, but its own backoff (4 s) still fits, so nothing is marked and the main agent's next call waits another 50 s: 100 s for the run while the provider stays limited, and 3000 s for the unattended 1800 s budget with retry-after: 500. That is the double wait from #626, for rate limits that send a Retry-After. The exception only holds for a first failure, where nothing has been waited yet.

Suggestion: mark the run whenever a call gives up after at least one wait (the two cases above then wait 50 s and 1500 s):

Suggested change

# A Retry-After longer than what is left ends this call only; the

# run's budget is used up once the backoff itself no longer fits.

if now + max(backoff, MIN_WAIT_SECONDS) > deadline:

# A first failure whose Retry-After does not fit ends this call only;

# after a wait, or once the backoff no longer fits, the run is spent.

if attempt > 1 or now + max(backoff, MIN_WAIT_SECONDS) > deadline:

Thanks, good catch on the double wait with Retry-After. I took all four suggestions as written in 5c0776e: a call that gives up after at least one wait now marks the run, and only a first failure whose Retry-After does not fit leaves the next call a budget of its own. Your two tests and the guide paragraph are in, and the sync twin fails if wrap_model_call passes None to _overran.

X-iZhang · 2026-10-19T14:41:49Z

+    assert await h.mw.awrap_model_call(h.request, h.handler([_transient(), OK])) is OK
+    assert h.sleeps == [1.0]
+
+


A test for the case above; on the current head the later call waits 25 s again:

Suggested change

async def test_a_call_that_waited_until_no_retry_after_fits_used_the_budget(run):

h = _Harness()

limited = _transient(429, headers=httpx.Headers({"retry-after": "25"}))

with pytest.raises(ProviderStreamError):

await h.mw.awrap_model_call(h.request, h.handler([limited] * 3))

assert h.sleeps == [25.0, 25.0]

later = _Harness()

with pytest.raises(ProviderStreamError):

await later.mw.awrap_model_call(later.request, later.handler([limited, OK]))

assert later.sleeps == []

X-iZhang · 2026-10-19T14:41:49Z

 ```

-Two consequences of a budget per call:
+Once a model call has used its whole budget (its next backoff wait no longer fits in what is left, or a wait ran past the budget), later model calls in the same run are tried once and not retried, and a call that is still retrying at that point stops at its next wait. Only that ends the run's retries: a call that recovers within its budget, or that gives up on a Retry-After longer than what is left while its own backoff would still fit, leaves the next call a full budget of its own, so a run can wait more than one budget in total. With the 60 s default, a call that retries for 55 s and then succeeds can be followed by another call that retries for 55 s. When a sub-agent's call uses the budget up, its task fails and the main agent carries on, but the main agent's next call is not retried, so with the provider still down the run ends there instead of waiting a second budget. The cost: a run whose provider comes back only after more than one budget no longer gets through by having the main agent wait and dispatch the sub-agent again. The next message starts a new run, with a full budget.


Three points in this paragraph. With the change in model_retry.py, the Retry-After exception covers only a first failure. An answer to an approval or a question also continues the turn in a new run: each resume builds a fresh model_retry marker (on the server backend the resume goes through run.respond and carries none), so a turn that pauses gets a full budget again. And the cost sentence: before this change only a provider that came back between one and two budgets got the run through (after two, the main agent's own budget had run out as well), and the mark stays after the provider recovers, so a later transient failure in the same run is not retried.

Suggestion:

Suggested change

Once a model call has used its whole budget (its next backoff wait no longer fits in what is left, or a wait ran past the budget), later model calls in the same run are tried once and not retried, and a call that is still retrying at that point stops at its next wait. Only that ends the run's retries: a call that recovers within its budget, or that gives up on a Retry-After longer than what is left while its own backoff would still fit, leaves the next call a full budget of its own, so a run can wait more than one budget in total. With the 60 s default, a call that retries for 55 s and then succeeds can be followed by another call that retries for 55 s. When a sub-agent's call uses the budget up, its task fails and the main agent carries on, but the main agent's next call is not retried, so with the provider still down the run ends there instead of waiting a second budget. The cost: a run whose provider comes back only after more than one budget no longer gets through by having the main agent wait and dispatch the sub-agent again. The next message starts a new run, with a full budget.

Once a model call has used its whole budget (it has waited at least once and its next wait no longer fits in what is left, or a wait ran past the budget), later model calls in the same run are tried once and not retried, and a call that is still retrying at that point stops at its next wait. Only that ends the run's retries: a call that recovers within its budget, or whose first failure carries a Retry-After longer than the budget, leaves the next call a full budget of its own, so a run can wait more than one budget in total. With the 60 s default, a call that retries for 55 s and then succeeds can be followed by another call that retries for 55 s. When a sub-agent's call uses the budget up, its task fails and the main agent carries on, but the main agent's next call is not retried, so with the provider still down the run ends there instead of waiting a second budget. The cost: a run whose provider comes back between one and two budgets after the sub-agent's first failure used to get through, because the main agent waited and dispatched the sub-agent again, and now ends; and once a call has used its budget up, a later transient failure in the same run is not retried even if the provider came back in between. The next message, and the answer to an approval or a question, starts a new run with a full budget.

X-iZhang · 2026-10-19T14:41:49Z

+
+    with pytest.raises(ProviderStreamError):
+        mw.wrap_model_call(request, handler)
+    assert sum(sleeps) == 55.0


The overrun branch is tested on the async path only: passing None instead of run to _overran in wrap_model_call keeps every test green. Suggestion, a sync twin of test_a_wait_that_overran_the_budget_counts_as_using_it:

Suggested change

assert sum(sleeps) == 55.0

assert sum(sleeps) == 55.0

def test_sync_path_counts_a_wait_that_overran_as_using_the_budget(run):

mw, clock, sleeps, request = _sync_harness()

def _suspended_sleep(seconds):

sleeps.append(seconds)

clock.now += seconds + 120.0

mw._sync_sleep = _suspended_sleep

def _down(_request):

raise _transient()

for _ in range(2):

with pytest.raises(ProviderStreamError):

mw.wrap_model_call(request, _down)

assert sleeps == [1.0]

…udget A call that gave up because a Retry-After no longer fitted in what was left ended only itself whenever its own backoff would still have fitted. With a provider that keeps answering 429 with retry-after: 25, a call waited 25 + 25 s of its 60 s budget, gave up, and the next call in the run waited 50 s again. The run is now marked whenever a call gives up after at least one wait; a first failure whose Retry-After does not fit still ends only that call. Both paths share _plan_retry, so the sync path follows. Add a test for that case and a sync twin of the overrun test, and update the guide: the narrower exception, what the change costs, and that the answer to an approval or a question also starts a new run.

din0s

Thanks, one small nit from my side

_effective_tier read the marker itself and both wrappers read it again right after, so every call looked it up twice. The wrappers now read it once and pass it to _effective_tier.

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⚠️ Outside diff range comments (1)

🟡 Minor · Do not spend the run for an over-budget provider Retry-After. · model_retry.py:487-490

EvoScientist/middleware/model_retry.py:487-490
🎯 Functional Correctness | 🟡 Minor | ⚡ Quick win

Do not spend the run for an over-budget provider Retry-After.

When a later retry selects a provider Retry-After that exceeds the remaining run budget, attempt > 1 still calls _spend_run(run). A subsequent honored model call then skips retries. This violates the contract that an over-budget provider Retry-After ends only the current call.

Limit _spend_run(run) to backoff-driven exhaustion. Preserve _overran() for waits that already started.
Suggested fix
-            if attempt > 1 or now + max(backoff, MIN_WAIT_SECONDS) > deadline:
+            if retry_after_seconds(failure) is None and (
+                attempt > 1 or now + max(backoff, MIN_WAIT_SECONDS) > deadline
+            ):
                 _spend_run(run)
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Review comment at @EvoScientist/middleware/model_retry.py around lines 487 -
490:
Update the _spend_run(run) condition in the retry flow so a provider Retry-After
that exceeds the remaining budget ends only the current call, not the entire
run. Gate run spending on retry_after_seconds(failure) being None while
retaining the existing attempt and backoff exhaustion checks, and preserve
_overran() behavior for waits that have already started.

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Outside diff comments:
Review comments at @EvoScientist/middleware/model_retry.py:
- Around line 487-490: Update the _spend_run(run) condition in the retry flow so
a provider Retry-After that exceeds the remaining budget ends only the current
call, not the entire run. Gate run spending on retry_after_seconds(failure)
being None while retaining the existing attempt and backoff exhaustion checks,
and preserve _overran() behavior for waits that have already started.

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Thanatos9404 · 2026-10-20T09:55:42Z

On the CodeRabbit note about model_retry.py:487: leaving that as is. A call that has already waited and then gets a Retry-After that does not fit marks the run on purpose, as X-iZhang suggested earlier, so the next call cannot wait past the run budget again.

din0s

thx!

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Comment thread docs/guides/model-retry.md Resolved

Thanatos9404 changed the title ~~fix(llm): let a run wait one retry budget, not one per model call~~ fix(llm): stop retrying a run once one model call has used its whole budget Oct 18, 2026

din0s added bug Something isn't working external contribution Implementation from an external contributor labels Oct 19, 2026

X-iZhang reviewed Oct 19, 2026

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X-iZhang requested a review from din0s October 19, 2026 16:32

din0s reviewed Oct 20, 2026

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Comment thread EvoScientist/middleware/model_retry.py Resolved

refactor(llm): read the run's retry marker once per model call

0941c79

_effective_tier read the marker itself and both wrappers read it again right after, so every call looked it up twice. The wrappers now read it once and pass it to _effective_tier.

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din0s approved these changes Oct 20, 2026

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X-iZhang approved these changes Oct 20, 2026

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Merge branch 'main' into fix/626-run-scoped-retry-budget

0b5293a

X-iZhang merged commit 79ede99 into EvoScientist:main Oct 20, 2026
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X-iZhang mentioned this pull request Oct 24, 2026

release: v0.3.8 #685

Merged

9 of 10 tasks

		assert await h.mw.awrap_model_call(h.request, h.handler([_transient(), OK])) is OK
		assert h.sleeps == [1.0]

+async def test_a_call_that_waited_until_no_retry_after_fits_used_the_budget(run):
+    h = _Harness()
+    limited = _transient(429, headers=httpx.Headers({"retry-after": "25"}))
+    with pytest.raises(ProviderStreamError):
+        await h.mw.awrap_model_call(h.request, h.handler([limited] * 3))
+    assert h.sleeps == [25.0, 25.0]
+    later = _Harness()
+    with pytest.raises(ProviderStreamError):
+        await later.mw.awrap_model_call(later.request, later.handler([limited, OK]))
+    assert later.sleeps == []

-    assert sum(sleeps) == 55.0
+    assert sum(sleeps) == 55.0
+def test_sync_path_counts_a_wait_that_overran_as_using_the_budget(run):
+    mw, clock, sleeps, request = _sync_harness()
+    def _suspended_sleep(seconds):
+        sleeps.append(seconds)
+        clock.now += seconds + 120.0
+    mw._sync_sleep = _suspended_sleep
+    def _down(_request):
+        raise _transient()
+    for _ in range(2):
+        with pytest.raises(ProviderStreamError):
+            mw.wrap_model_call(request, _down)
+    assert sleeps == [1.0]

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Thanatos9404 commented Oct 18, 2026 •

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coderabbitai Bot commented Oct 18, 2026 •

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