ai-hats-observe 0.2.0

Session logging engine for the ai-hats framework — session lifecycle, versioned trace/audit schema, and a surface-agnostic transcript-parser adapter.

ai-hats-observe

A standalone session-logging engine: open a session on a bare directory, append trace entries, write an incremental audit, and finalize a versioned metrics.json — with no configuration, no worktree engine, and no ai-hats.yaml.

ai-hats-observe is the observability core extracted from the ai-hats framework (ADR-0014 Phase 1, T15). It has no dependency on the ai-hats integrator: everything below runs against a plain directory. Its only runtime dependency is ai-hats-core (dependency-free filesystem primitives + the migration seam).

What it owns

• Session lifecycle — SessionManager / Session: allocate a session directory, resolve its artifact paths, list/filter past sessions.
• Trace + audit writer — log_trace, init_audit, append_audit, finalize_audit; the enriched AuditWriter that turns a transcript into audit.md + a versioned metrics.json.
• Versioned trace/audit schema — a schema_version on the metrics surface, with a wired (initially empty) migration seam.
• Surface-agnostic parsing — a TranscriptParser adapter: the AuditWriter holds no provider-specific parsing; the concrete ClaudeParser (structured JSONL + trace-chrome fallback) is one implementation. A new surface (Gemini, or a future CLI) plugs in its own parser — the writer never changes.

Extending to a new surface

The parser is carried by the session's provider, not a central registry: a Provider yields its TranscriptParser, and the integrator injects it into the AuditWriter. Adding a surface means shipping a parser that satisfies the TranscriptParser protocol and a provider that names it — no edit to ai-hats-observe internals.

Dependency direction

ai-hats-observe imports only ai-hats-core and the standard library. It never imports the ai-hats integrator; ai-hats imports from here. The boundary is enforced by an AST import-lint (test_observe_boundary.py).