Lineage Tracking
Tag every agent output with the exact prompt version, model version, tool versions, and retrieved documents that produced it — so any output is fully reproducible and attributable.
Intent & Description
🎯 Intent
Track which prompt version, model version, and data sources produced each agent output.
📋 Context
Agent outputs may be referenced weeks or months after generation — an underwriting decision, a generated contract clause, a research summary cited elsewhere. Over that time, prompts evolve, models are upgraded, tools change, and retrieval indexes are rebuilt. When a customer or auditor surfaces a specific past output and asks how it was produced, you need to answer precisely.
💡 Solution
Tag every agent output with: prompt template hash, model id and version, tool versions, retrieved-document ids, and decision-log id. Store in a queryable lineage store. Make lineage joinable to the output store.
Real-world Use Case
- Output disputes, audits, or rollbacks require knowing exactly what produced a given output.
- Prompts, models, tools, and retrieved documents change often enough that ad-hoc tracking fails.
- A queryable lineage store can be joined to the output store.
Source
📌 TL;DR
Fingerprint every output with its full provenance — prompt hash, model version, tool versions, retrieved docs — so “what produced this?” is always answerable.
Advantages
- Output disputes are answerable — trace back to exactly what produced any output.
- Targeted rollback becomes possible — revert just the changed component.
Disadvantages
- Storage grows continuously — requires retention policies.
- Lineage schema must evolve carefully; schema changes can orphan past records.