roboomp
db57efc3d3
chatgpt-codex second-pass review on #3249: the previous helper folded the 4k SUMMARY_TEXT_RESERVE into both the maxFrames cap math AND the skip decision (return 0 when frameBudget < 0). That made any residual headroom below 4k fall negative and force the LLM-summarizer fallback, even though a text-only snapcompact archive (the 'text.length <= 2 * edgeCap' short-circuit in planArchive) typically costs only a few hundred tokens of summary lead-in and would have fit cleanly. The two reserves now serve their own jobs: - Skip iff 'baseTokens >= totalBudget' (kept-recent + non-message already eats the entire window − reserve envelope). No reserve fudge here; positive residual is always worth attempting. - Cap reserve (4k) is applied ONLY to the maxFrames calculation so the projection still passes once frames land. When the frame budget goes negative under that reserve but residual headroom is positive, the helper now returns maxFrames=1 instead of 0 so snapcompact's frame-less planArchive branch can still produce a valid archive. Updated regression test to pin the new contract directly: kept-recent tuned for 1500 tokens of headroom (well below the 4k cap reserve), the old helper returned 0 and skipped to the LLM summarizer, the new helper invokes snapcompact with maxFrames=1.
@oh-my-pi/pi-coding-agent
Core implementation package for the omp coding agent in the oh-my-pi monorepo.
For installation, setup, provider configuration, model roles, slash commands, and full CLI reference, see:
Package-specific references:
Memory backends
The agent supports three mutually-exclusive memory backends, selected via the memory.backend setting (Settings → Memory tab, or ~/.omp/config.yml):
off(default) — no memory subsystem runs.local— existing rollout-summarisation pipeline; writesmemory_summary.mdand consolidated artifacts under the agent dir.hindsight— talks to a Hindsight server (Cloud or self-hosted Docker), retains transcripts every Nth user turn, recalls memories on the first turn of a session, and exposesretain,recall, andreflect.
Hindsight quickstart
- Run a Hindsight server (Cloud or
docker run -p 8888:8888 ghcr.io/vectorize-io/hindsight:latest). - Set
memory.backend = "hindsight"andhindsight.apiUrl = "http://localhost:8888"(or your Cloud URL). - Optional environment overrides (env wins over settings):
HINDSIGHT_API_URL,HINDSIGHT_API_TOKEN— connectionHINDSIGHT_BANK_ID,HINDSIGHT_DYNAMIC_BANK_ID,HINDSIGHT_AGENT_NAME— bank addressingHINDSIGHT_AUTO_RECALL,HINDSIGHT_AUTO_RETAIN,HINDSIGHT_RETAIN_MODE— lifecycleHINDSIGHT_RECALL_BUDGET,HINDSIGHT_RECALL_MAX_TOKENS— recall sizingHINDSIGHT_BANK_MISSION,HINDSIGHT_DEBUG
Switching backends mid-session is honoured on the next system-prompt rebuild and the next /memory slash command. Existing users with memories.enabled = true|false are migrated to memory.backend = "local"|"off" exactly once on first launch.