feat: cloud-first consolidation routing + graceful backend fallback
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
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@@ -317,7 +317,7 @@ def reflect(backend: Backend | None = None, session_id: str | None = None,
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)
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# Step 1 — draft a reflection.
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draft = _safe_json(llm.complete(
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draft = _safe_json(llm.complete_with_fallback(
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[{"role": "system", "content": _REFLECT_PROMPT}, {"role": "user", "content": body}],
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backend=backend, model=model,
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))
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@@ -326,7 +326,7 @@ def reflect(backend: Backend | None = None, session_id: str | None = None,
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update, critique, revised = draft, None, None
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if draft:
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examine_body = body + "\n\nYOUR DRAFT REFLECTION:\n" + json.dumps(draft, indent=2)
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revised = _safe_json(llm.complete(
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revised = _safe_json(llm.complete_with_fallback(
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[{"role": "system", "content": _EXAMINE_PROMPT},
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{"role": "user", "content": examine_body}],
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backend=backend, model=model,
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@@ -417,7 +417,7 @@ def _consolidate_self(backend: Backend | None = None, model: str | None = None,
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body = ("STABLE ANCHOR (who you are — this holds):\n" + IDENTITY_ANCHOR
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+ "\n\nYOUR RECENT REFLECTIONS (what's actually been on your mind):\n"
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+ "\n".join(f"- {r}" for r in refs))
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out = _safe_json(llm.complete(
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out = _safe_json(llm.complete_with_fallback(
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[{"role": "system", "content": _CONSOLIDATE_PROMPT}, {"role": "user", "content": body}],
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backend=backend, model=model,
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))
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