CompText V7

CompText V7 is a deterministic replay-validation prototype for compact operational agent/MCP traces, with a KVTC-V7 technical-log compression prototype. The repository checks whether fixture-defined operational commitments survive compaction and replay using local code, committed fixtures, deterministic metrics, and reproducible artifacts.

What this repo implements

• Deterministic replay validation for compact operational trace state.
• Curated agent trace fixtures under tests/fixtures/agent_traces/.
• A deterministic agent trace replay runner in tests/utils/agent_trace_replay_runner.py.
• An MCP replay payload layer in src/comptext_v7/mcp/.
• Evidence survival helpers in src/validation/evidence.py.
• Stable replay failure labels in src/validation/replay_failure_classifier.py.
• Committed replay artifacts, including artifacts/agent_trace_replay_results.json and artifacts/mcp_trace_replay_results.json.
• A KVTC-V7 technical-log compression prototype in src/core/kvtc_v7.py.

What it does not claim

• No embeddings.
• No vector database.
• No LLM judges.
• No external APIs in validation.
• No autonomous agent framework or workflow orchestrator.
• No production-readiness, enterprise-readiness, certification, or compliance claim.
• No universal AI-memory or solved-memory claim.

Implemented surfaces

Surface	Source
Curated agent traces	tests/fixtures/agent_traces/
Agent trace replay runner	tests/utils/agent_trace_replay_runner.py
MCP replay payload extraction, rendering, and validation	src/comptext_v7/mcp/
Evidence survival checks	src/validation/evidence.py
Replay failure labels	src/validation/replay_failure_classifier.py
Agent trace replay artifact	artifacts/agent_trace_replay_results.json
MCP trace replay artifact	artifacts/mcp_trace_replay_results.json
KVTC-V7 technical-log compression prototype	src/core/kvtc_v7.py

Committed artifact snapshot

These fixture-bound values are checked against committed deterministic artifacts.

Signal	Current fixture-bound result
Agent trace replay consistency	1.000000
Paper replay consistency	0.791667
CONSERVATIVE replay consistency	0.895833
BALANCED replay consistency	0.250000
AGGRESSIVE replay consistency	0.125000
Paper avg compression	1.347063
Agent avg compression	1.773954
Agent replay consistency	1.000000
Agent operational drift	0.000000

The committed comparative replay artifact includes BALANCED failure labels EVIDENCE_LOSS and CONSTRAINT_DRIFT.

Validation commands

npm run layout
pytest -q
npm run check

Limitations

• Results are fixture-bound and based on checked-in data.
• Curated fixtures are not live production traces.
• Replay validation is deterministic and local; it does not use semantic scoring, embeddings, vector search, LLM judges, or external APIs.
• The KVTC-V7 compressor is a prototype for structured technical logs, not a production telemetry platform.