Nail down which backend each LLM path uses, and make the dream cycle resilient to
a backend being down (the MI50 outage left profile/era/narrative — pinned to mi50
with no fallback — aborting every dream cycle).
- Consolidation (summaries + profile/era/narrative) -> cloud via SUMMARY_BACKEND=
cloud (.env, not committed). Matches the documented lesson that the MI50 is too
slow/hot for bulk consolidation; nothing background touches the card now.
- llm.complete_with_fallback(): try the primary backend, fall back to cloud on
error (re-raise if already cloud / no key). Wired into reflect + think so the
introspection voice (3090/dolphin) survives the gaming PC being powered off.
- dream coherence stage is now fault-isolated: a rebuild failure logs + continues
instead of sinking the whole pass (reflection still runs).
- .env: removed stale INTROSPECTION_BACKEND=mi50 (live routing is the web-switchable
introspection_mode DB setting = dolphin/3090; the var only fed a dead fallback).
Verified: forced cycle runs consolidation on cloud, introspection on the 3090,
completes with zero MI50 calls. 206 pass, ruff clean.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_015yrEb5qpPGv2FjyxrB7LLk
Belt-and-suspenders so no dream pass can run unchecked for hours:
- llm.complete() now always bounds the OpenAI/mi50 request: default 300s +
max_retries=0 instead of the SDK's 600s x2 (~30 min). One change bounds every
consolidation/introspection call (profile/era/narrative/reflect/think), not
just summaries. Live chat (chat_call*) is a separate path, unaffected.
- dream_cycle() enforces a 20-min wall-clock budget, checked between stages;
once past it, remaining stages are skipped, it logs 'stopped early (over
budget)', and notify.push() pings Brian. Paired with the host watchdog (A) as
an independent fallback.
Tests: default timeout/max_retries threaded into complete(); an over-budget pass
skips later stages + pings. 178 pass, ruff clean.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_015yrEb5qpPGv2FjyxrB7LLk
The dream cycle's summarize_all ran uncapped against the MI50: no max_tokens
and no timeout, so the OpenAI SDK's 600s x2-retry default meant ~30 min per
call. Combined with summary.py's own retry loop, one unsummarizable session
pegged the GPU for hours (observed 2026-07-04: stuck since 23:02, nothing saved
since 00:56, 7-8k-token runaway generations, all 4 llama.cpp slots busy). Not
context overflow (0 shifts/truncations) - purely unbounded length on a slow
backend timing out and retrying.
- llm.complete(): add optional max_tokens (caps generation; num_predict for
Ollama) and timeout (bounds the request and sets max_retries=0 so the caller
owns retry policy). Both default None -> unchanged for every existing caller.
- summary.py: cap gists at 768 tokens, 150s/call fast-fail, 2 MI50 attempts
then one cloud fallback (when primary isn't already cloud and a key exists).
Known limitation (scoped out per decision): the fallback triggers on
timeouts/exceptions, not on a degraded backend returning garbage as a 200.
Tests: fallback fires after 2 MI50 failures; no fallback when primary is cloud
or no key; cap+timeout threaded into every complete() call; llm bounds tests.
172 pass, ruff clean.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_015yrEb5qpPGv2FjyxrB7LLk
serversdown