When the agent's first run output fails frontmatter extraction, the
retry loop (via options.continue) would replace agentResult entirely,
causing the 1-turn continuation detail to overwrite the original
multi-turn detail containing all tool-call history.
Now we capture primaryDetailHash from the first run and always use it
for the persisted StepNode, regardless of how many retries occur.
Fixes#439
- StepRecord adds edgePrompt field (backward compat: defaults to "")
- StepNode CAS schema includes edgePrompt
- writeStepNode persists ctx.edgePrompt
- buildHistory exposes edgePrompt in StepContext
- buildBuiltinMessages reconstructs multi-turn moderator↔agent conversation:
system = role prompt + output format (stable prefix)
per prior visit: user (edgePrompt + inter-step summary) + assistant (output)
current: user (edgePrompt + recent summary)
- Zero extra persistence — pure function of CAS chain
- Stable prefix for LLM prompt cache hits
- 10 builtin tests pass, all other package tests pass
Agent CLI outputs plain CAS hash (not JSON), engine parses plain hash.
StepOutput no longer carries sessionId — session info is already in CAS detail.
Keeps the valuable parts of #385: sessionId in AgentRunResult (process-internal),
continue support, and frontmatter retry loop.
Breaking changes:
- AgentRunResult now requires sessionId field
- AgentOptions now requires continue function
- Agent CLI outputs JSON {stepHash, sessionId} instead of plain CAS hash
- Engine parses JSON output (with legacy CAS hash fallback)
New features:
- Frontmatter validation retry: if agent output lacks valid frontmatter,
engine calls agent.continue() up to 2 times with correction message
- Session tracking: sessionId flows from agent → engine → StepOutput
- Hermes agent: session parse failure is now a hard error (no raw text fallback)
- Hermes agent: supports --resume for continue sessions
Closes#384
Agent output must contain valid YAML frontmatter matching the role schema.
If frontmatter parsing fails, the step fails immediately with a clear error
instead of falling back to an LLM extraction that can fabricate values.
The extract module remains as a public API export but is no longer used
in the agent run loop.
Breaking change: agents that relied on LLM extraction to produce valid
output will now fail. They must output proper frontmatter.
xiaoju
xingyue