SCHEMA.md

Coding Agent MCTS Reasoning Trace Pack — Schema

One row = one complete MCTS reasoning lifecycle. All records share the same seven top-level fields.

Schema version: 1.0.0-coding-intel-sample

Top-level fields

schema_version — string

Schema identifier. Constant within a sample release.

event — struct

Task identity and description.

Field	Type	Notes
task_id	string	Stable task identifier, e.g., TASK-D8DFB752. UUID-derived.
task_type	string	bugfix, feature, refactor.
language	string	python, rust, go, typescript.
title	string	Generic task title (e.g., Fix off-by-one error, Refactor the parser, Add retry logic).
description	string	Short user-intent statement.

risk_context — struct

Baseline code-health signals for the task target.

Field	Type	Notes
test_coverage_baseline	double	Percent test coverage at task start (0–100).
cyclomatic_complexity	int	Baseline cyclomatic complexity score.
production_impact	string	LOW, MEDIUM, HIGH, CRITICAL.

agent_reasoning — list

Ordered MCTS reasoning steps. One struct per step.

Step struct:

Field	Type	Notes
action	string	Step type: analyze_context (root), write_draft, run_tests, lethe_prune (failed branch), prometheus_anchor (golden timeline).
depth	int	Tree depth of this step (root = 0).
ucb_score	double	UCB score at this step. Infinity at root nodes, null at terminal actions.
reward	double	Terminal reward. Populated only on lethe_prune (negative) or prometheus_anchor (positive); null elsewhere.
thought	string	Natural-language rationale for the step.

correlated_telemetry — struct

Observable signals correlated to the reasoning outcome.

Field	Type	Notes
linter_warnings_initial	int	Linter warnings before the task.
linter_warnings_final	int	Linter warnings after the golden timeline commit.
test_runtime_ms	int	Runtime of the test suite at anchor time, ms.
ci_status	string	SUCCESS in this sample (production pack includes FAILURE, FLAKY, TIMEOUT).

execution_summary — struct

Diff-level metrics at the golden timeline commit.

Field	Type	Notes
files_changed	int	Files touched.
lines_added	int	Lines added.
lines_removed	int	Lines removed.
time_to_resolution_sec	double	End-to-end lifecycle duration (seconds).

genetic_optimizer_feedback — struct

Outer-loop optimizer metrics used to tune future MCTS policies.

Field	Type	Notes
final_reward	double	Terminal reward attributed to the golden timeline.
lethe_prunes_triggered	int	Count of lethe_prune actions in the trace.
nodes_expanded	int	Total MCTS nodes expanded during the trace.
phenotype_used	string	TEST_DRIVEN, HACKER, DEEP_THINK, SECURITY_FIRST, REFACTOR_HEAVY.

Distribution of this sample

• 10,000 traces, stratified 2,000 per reasoning phenotype across all five phenotypes.
• Task type: balanced (~3,300 each across bugfix / feature / refactor).
• Language: balanced (~2,500 each across python / rust / go / typescript).
• Production impact: balanced (~2,500 each across LOW / MEDIUM / HIGH / CRITICAL).
• CI status is SUCCESS for every row in this sample; production pack includes failure variants.

Sanitization notes

• Task IDs are UUID-derived synthetic identifiers (e.g., TASK-D8DFB752).
• Task titles and descriptions are generic archetypes (e.g., Fix off-by-one error, Add retry logic) — no real commit messages, PRs, or issue descriptions are present.
• No real code content, no diffs, no actual linter output.
• ucb_score uses the IEEE-754 infinity representation at root nodes. Parquet preserves this natively; JSONL serializes as the string "Infinity".

Relationship to the full pack

The production pack scales to 2.5M+ traces with wider CI-outcome distribution (FAILURE, FLAKY, TIMEOUT), additional languages (C++, Java, Kotlin, Swift, C#), AST-diff variants, tool-call graph traces, multi-turn user-interaction sequences, and custom phenotype mixes. See the pack card for commercial access.