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Fixes #657 - #647

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andrew1234-arch wants to merge 1 commit into
use-agent-os:mainfrom
andrew1234-arch:fix/gemini-context-overflow-classification
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Fixes #657#647
andrew1234-arch wants to merge 1 commit into
use-agent-os:mainfrom
andrew1234-arch:fix/gemini-context-overflow-classification

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@andrew1234-arch

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Linked issue

Fixes # (none — issue creation is restricted for external contributors on
this repo, so there's no issue number to link. The full bug report,
impact, and fix are documented below.)

  • This pull request fully resolves the linked issue, or the description
    says what remains.

Summary

Gemini is a fully-supported provider in AgentOS (gemini is listed in
_OPENAI_COMPAT_PROVIDERS). Its real, canonical context-overflow error
message is:

"The input token count (X) exceeds the maximum number of tokens allowed (Y)."

None of the markers in _is_context_overflow() ("context length",
"context window", "maximum context", "input is too long",
"input exceeds", "too many tokens") match this phrasing — "input" and
"exceeds" aren't adjacent in the real message, and it says "maximum number
of tokens" rather than "maximum context" or "too many tokens".

As a result, the error was misclassified as BAD_REQUEST instead of
CONTEXT_OVERFLOW. Per decide_recovery_action(), that means
COMPACT_AND_RETRY never fired for Gemini users who hit their context
limit — they got a raw surfaced error instead of AgentOS automatically
compacting the conversation and retrying, which defeats a documented
recovery path for one of AgentOS's headline-supported providers.

This PR adds two markers to _is_context_overflow() covering Gemini's
fixed surrounding phrasing (not the variable token-count numbers, which
differ per request).

Tests

Added two regression tests to tests/test_provider_failures.py:

  • test_gemini_input_token_count_message_is_context_overflow — asserts
    the exact real-world Gemini message classifies as CONTEXT_OVERFLOW.
  • test_gemini_input_token_count_message_is_context_overflow_regardless_of_token_counts
    — same shape with different digit counts, guarding against a marker
    that accidentally depends on a specific number of digits.

Commands run locally:

Gemini's actual context-overflow error, 'The input token count (X)
exceeds the maximum number of tokens allowed (Y).', matches none of
the existing _is_context_overflow markers, so it fell through to
BAD_REQUEST instead of CONTEXT_OVERFLOW. This meant the runtime never
triggered COMPACT_AND_RETRY for Gemini context-limit errors, and the
raw error was surfaced to the user instead.
@andreapn

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Process note: this PR is not tracked by an open issue.

Every PR in this repository must map to one corresponding issue so we can triage, prioritise, and avoid duplicate work across contributors. The workflow is: open an issue first → wait for a maintainer to triage and label it → then open the PR that references it.

The description says issue creation is restricted for external contributors — that is not the case. Issues are open to everyone, and you already opened #651 yourself. Please open an issue for this Gemini context-overflow misclassification (with the exact provider error string and how you observed it), let a maintainer label it, and then link this PR with Fixes #<n>.

Also note that #613 already covers context-overflow classification in the same provider/failures.py area — please check for overlap before filing, so we do not end up with two issues for one fix.

@andrew1234-arch andrew1234-arch changed the title fix(provider): classify Gemini's real context-overflow message correctly Fixes # (none — issue creation is restricted for external contributors on this repo, so there's no issue number to link. The full bug report, impact, and fix are documented below.) Aug 31, 2026
@andrew1234-arch andrew1234-arch changed the title Fixes # (none — issue creation is restricted for external contributors on this repo, so there's no issue number to link. The full bug report, impact, and fix are documented below.) Fixes #657 Aug 31, 2026
@andrew1234-arch

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Opened #657 and linked it in the PR description, checked it against #613 first, no overlap (that one's Anthropic-only).

@andreapn andreapn left a comment

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Thanks for the report and fix. #670 targets the same issue (#657) and is the PR being taken forward, because this one has blocking problems:

  1. ruff format fails — the diff deletes a blank line before def _is_policy_refusal, leaving one blank line between top-level functions.
  2. "input token count" is too broad as a marker. Since _is_context_overflow() is an any() over substrings, that phrase alone will classify any error text containing it as CONTEXT_OVERFLOW — including non-overflow token-accounting errors. The second marker you added, "exceeds the maximum number of tokens allowed", already covers the Gemini case on its own.
  3. PR metadata — the title is literally Fixes #657 (leading whitespace, no conventional-commit prefix), and the body says no issue is linked even though #657 exists.

If you'd like to keep this PR alive, please drop the broad "input token count" marker, restore the blank line, and fix the title. Otherwise #670 will close #657.

@andreapn

andreapn commented Sep 1, 2026

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Closing this one — #670 was selected for issue #657 and has been merged.

Both PRs identified the same root cause correctly, and the analysis here is good. #670 was picked because:

  • It was rebased on current main; this branch is based on an older main (failures.py at 0d447c28), so the diff no longer applies cleanly.
  • This diff removes a blank line before _is_policy_refusal and omits the blank line between the new test functions, which fails ruff check src tests (E302) — the repo's CI lint gate.
  • "input token count" as a standalone marker is broader than needed; the single marker "exceeds the maximum number of tokens" in fix(provider): recognize Gemini's real context-overflow message (#657) #670 covers the same real-world message with a tighter match surface.

Thanks for the clear write-up on the impact to COMPACT_AND_RETRY — that framing was accurate and useful. Please do pick up another open issue.

@andreapn andreapn closed this Sep 1, 2026
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