vitest-llm-reporter
RepositoryFreeA Vitest reporter optimized for LLM parsing with structured, concise output
Capabilities8 decomposed
structured test result serialization for llm consumption
Medium confidenceTransforms Vitest's native test execution output into a machine-readable JSON or text format optimized for LLM parsing, eliminating verbose formatting and ANSI color codes that confuse language models. The reporter intercepts Vitest's test lifecycle hooks (onTestEnd, onFinish) and serializes results with consistent field ordering, normalized error messages, and hierarchical test suite structure to enable reliable downstream LLM analysis without preprocessing.
Purpose-built reporter that strips formatting noise and normalizes test output specifically for LLM token efficiency and parsing reliability, rather than human readability — uses compact field names, removes color codes, and orders fields predictably for consistent LLM tokenization
Unlike default Vitest reporters (verbose, ANSI-formatted) or generic JSON reporters, this reporter optimizes output structure and verbosity specifically for LLM consumption, reducing context window usage and improving parse accuracy in AI agents
hierarchical test suite structure mapping
Medium confidenceOrganizes test results into a nested tree structure that mirrors the test file hierarchy and describe-block nesting, enabling LLMs to understand test organization and scope relationships. The reporter builds this hierarchy by tracking describe-block entry/exit events and associating individual test results with their parent suite context, preserving semantic relationships that flat test lists would lose.
Preserves and exposes Vitest's describe-block hierarchy in output structure rather than flattening results, allowing LLMs to reason about test scope, shared setup, and feature-level organization without post-processing
Standard test reporters either flatten results (losing hierarchy) or format hierarchy for human reading (verbose); this reporter exposes hierarchy as queryable JSON structure optimized for LLM traversal and scope-aware analysis
error stack trace normalization and extraction
Medium confidenceParses and normalizes test failure stack traces into a structured format that removes framework noise, extracts file paths and line numbers, and presents error messages in a form LLMs can reliably parse. The reporter processes raw error objects from Vitest, strips internal framework frames, identifies the first user-code frame, and formats the stack in a consistent structure with separated message, file, line, and code context fields.
Specifically targets Vitest's error format and strips framework-internal frames to expose user-code errors, rather than generic stack trace parsing that would preserve irrelevant framework context
Unlike raw Vitest error output (verbose, framework-heavy) or generic JSON reporters (unstructured errors), this reporter extracts and normalizes error data into a format LLMs can reliably parse for automated diagnosis
test duration and performance metrics collection
Medium confidenceCaptures and aggregates test execution timing data (per-test duration, suite duration, total runtime) and formats it for LLM analysis of performance patterns. The reporter hooks into Vitest's timing events, calculates duration deltas, and includes timing data in the output structure, enabling LLMs to identify slow tests, performance regressions, or timing-related flakiness.
Integrates timing data directly into LLM-optimized output structure rather than as a separate metrics report, enabling LLMs to correlate test failures with performance characteristics in a single analysis pass
Standard reporters show timing for human review; this reporter structures timing data for LLM consumption, enabling automated performance analysis and optimization suggestions
configurable output format and verbosity control
Medium confidenceProvides configuration options to customize the reporter's output format (JSON, text, custom), verbosity level (minimal, standard, verbose), and field inclusion, allowing users to optimize output for specific LLM contexts or token budgets. The reporter uses a configuration object to control which fields are included, how deeply nested structures are serialized, and whether to include optional metadata like file paths or error context.
Exposes granular configuration for LLM-specific output optimization (token count, format, verbosity) rather than fixed output format, enabling users to tune reporter behavior for different LLM contexts
Unlike fixed-format reporters, this reporter allows customization of output structure and verbosity, enabling optimization for specific LLM models or token budgets without forking the reporter
test status classification and filtering
Medium confidenceCategorizes test results into discrete status classes (passed, failed, skipped, todo) and enables filtering or highlighting of specific status categories in output. The reporter maps Vitest's test state to standardized status values and optionally filters output to include only relevant statuses, reducing noise for LLM analysis of specific failure types.
Provides status-based filtering at the reporter level rather than requiring post-processing, enabling LLMs to receive pre-filtered results focused on specific failure types
Standard reporters show all test results; this reporter enables filtering by status to reduce noise and focus LLM analysis on relevant failures without post-processing
file path and source location mapping
Medium confidenceExtracts and normalizes file paths and source locations for each test, enabling LLMs to reference exact test file locations and line numbers. The reporter captures file paths from Vitest's test metadata, normalizes paths (absolute to relative), and includes line number information for each test, allowing LLMs to generate file-specific fix suggestions or navigate to test definitions.
Normalizes and exposes file paths and line numbers in a structured format optimized for LLM reference and code generation, rather than as human-readable file references
Unlike reporters that include file paths as text, this reporter structures location data for LLM consumption, enabling precise code generation and automated remediation
test assertion message extraction and formatting
Medium confidenceParses and extracts assertion messages from failed tests, normalizing them into a structured format that LLMs can reliably interpret. The reporter processes assertion error messages, separates expected vs actual values, and formats them consistently to enable LLMs to understand assertion failures without parsing verbose assertion library output.
Specifically parses Vitest assertion messages to extract expected/actual values and normalize them for LLM consumption, rather than passing raw assertion output
Unlike raw error messages (verbose, library-specific) or generic error parsing (loses assertion semantics), this reporter extracts assertion-specific data for LLM-driven fix generation
Capabilities are decomposed by AI analysis. Each maps to specific user intents and improves with match feedback.
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Best For
- ✓AI-assisted debugging workflows where LLMs analyze test failures
- ✓autonomous test repair agents that need structured input
- ✓teams building LLM-powered CI/CD pipelines for test triage
- ✓large test suites with deep nesting (3+ levels of describe blocks)
- ✓LLM agents that need to understand test scope and dependencies
- ✓teams analyzing test failure patterns by feature or module
- ✓LLM-powered test failure diagnosis and fix generation
- ✓automated root cause analysis of test failures
Known Limitations
- ⚠Does not capture real-time test execution progress — only final results after all tests complete
- ⚠No support for custom test metadata beyond Vitest's native fields (duration, error, status)
- ⚠Output size scales linearly with test count; large test suites (1000+ tests) may exceed LLM context windows
- ⚠Hierarchy depth is limited by Vitest's describe-block nesting; deeply nested suites (10+ levels) may produce verbose output
- ⚠Does not capture dynamic test generation or parameterized test relationships
- ⚠Sibling test ordering within a suite is preserved but not explicitly indexed
Requirements
Input / Output
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A Vitest reporter optimized for LLM parsing with structured, concise output
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