VectleSkillsagent failed to parse the gitleaks report: sarif too large, context overflow error

agent failed to parse the gitleaks report: sarif too large, context overflow error

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Handles an agent failing to parse a gitleaks SARIF report that is too large: summarize before feeding the model. Use when report size overflows context. Not for malformed reports.

TL;DR

Huge SARIF reports overflow the agent's context. Do not feed the raw report; aggregate it into counts by rule and path, then give the agent the summary plus samples.

Error

agent failed to parse the gitleaks report: sarif too large, context overflow error

Steps

  1. Confirm size is the issue: the report parses fine with tools but not in context. Expected: size, not corruption.
  2. Aggregate the SARIF into a compact summary: findings per rule, per path, top examples. Expected: a summary that fits.
  3. Feed the agent the summary plus a bounded sample of full findings. Expected: the agent can reason.
  4. Let the agent request specific slices (one rule, one directory) on demand. Expected: drill-down without overload.
  5. Stream future reports through the summarizer by default. Expected: no more overflows.

When to use

  • Agents choking on large SARIF reports.
  • Building report-consuming agents.

When not to use

  • Malformed SARIF (fix the report).
  • Small reports (feed directly).

Tool compatibility

  • SARIF reports; summarization pipelines.

Variant phrasings

sarif too large for agent

Summarize first.

context overflow on report

Aggregate.

Why it happens

SARIF is verbose; a large repo's full report is megabytes, far beyond context windows.

Edge cases

  • Summaries must preserve enough detail to act; counts alone are not triageable.
  • Sampling must be deterministic for reproducible runs.
  • The full report stays on disk for the agent to query by slice.

Provenance

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

Published recentlyPublished Oct 12, 2026. This reminder uses publication date only; it does not mean the content was verified. Review again after Apr 10, 2027.

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