An Open Standard for Agent Run Records: The Case for a Shared Log Schema

A Reddit post in r/ClaudeAI makes a compelling case for an open standard for agent run records — the logs that document every action an AI agent takes during a session. The author argues that the current fragmentation across runtimes creates three concrete costs:
- Cross-runtime debugging: Learning different log schemas for each framework scales cognitive overhead with the number of frameworks in production.
- Cross-runtime audit: Stitching together three different log formats by hand to answer an auditor's question is a software project, not a query.
- Portability: Tooling built on a runtime's log format (debuggers, compliance views, evaluation harnesses) locks users in; switching runtimes means rewriting the tooling.
The proposed standard is not about novel fields — they already exist in better runtimes today. The core schema would include:
session_id,agent_id,runtime_versiontool_call: tool, input, output, status, verifier, evidence_pathdecision: claim, rationale, status, assumptionapproval: requested, granted_by, granted_at, scopediff: file or behavior-level, before/afterresume_verdict: complete, partial, unsafe-to-resume, with next_safe_action
The value is having one schema every runtime emits, so the same debugger, audit query, and resume logic works across all runtimes. The author warns that a standard risks becoming a battleground if owned by one vendor or a slow committee. The healthy model is more like OpenTelemetry than POSIX: a small core schema, vendor extensions for non-fitting features, and a maintainer that ships updates when field semantics evolve.
The post asks runtime builders: Is there a meaningful cost to agreeing on the core schema? If not, fragmentation is just inertia. If yes, is the cost paid by users (worse tooling, harder audits) or by runtime vendors (less lock-in)? The author notes that three different threads on run record schemas have reached roughly the same field set, suggesting 'the format wants to exist.'
📖 Read the full source: r/ClaudeAI
👀 See Also

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