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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@@ -55,6 +55,50 @@ def test_cloud_threads_max_tokens_and_timeout(fake_openai):
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assert fake_openai["client"]["max_retries"] == 0
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def test_fallback_uses_primary_when_it_succeeds(monkeypatch):
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seen = []
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monkeypatch.setattr(llm, "complete",
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lambda messages, backend="local", model=None, **k:
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seen.append(backend) or f"{backend}-ok")
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out = llm.complete_with_fallback([{"role": "user", "content": "x"}],
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backend="local", model="dolphin3:8b")
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assert out == "local-ok"
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assert seen == ["local"] # no fallback when the primary works
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def test_fallback_to_cloud_when_primary_errors(monkeypatch):
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monkeypatch.setattr(llm, "load", lambda: types.SimpleNamespace(openai_api_key="sk"))
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seen = []
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def fake(messages, backend="local", model=None, **k):
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seen.append(backend)
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if backend == "local":
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raise RuntimeError("3090 is powered off")
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return "cloud-ok"
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monkeypatch.setattr(llm, "complete", fake)
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out = llm.complete_with_fallback([{"role": "user", "content": "x"}],
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backend="local", model="dolphin3:8b")
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assert out == "cloud-ok"
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assert seen == ["local", "cloud"]
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def test_fallback_reraises_when_primary_is_already_cloud(monkeypatch):
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monkeypatch.setattr(llm, "load", lambda: types.SimpleNamespace(openai_api_key="sk"))
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monkeypatch.setattr(llm, "complete",
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lambda *a, **k: (_ for _ in ()).throw(RuntimeError("boom")))
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with pytest.raises(RuntimeError):
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llm.complete_with_fallback([{"role": "user", "content": "x"}], backend="cloud")
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def test_fallback_reraises_without_openai_key(monkeypatch):
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monkeypatch.setattr(llm, "load", lambda: types.SimpleNamespace(openai_api_key=""))
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monkeypatch.setattr(llm, "complete",
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lambda *a, **k: (_ for _ in ()).throw(RuntimeError("down")))
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with pytest.raises(RuntimeError):
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llm.complete_with_fallback([{"role": "user", "content": "x"}], backend="local")
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def test_default_bounds_calls_even_without_explicit_timeout(fake_openai):
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# No cap / timeout passed -> still bounded: 300s default + no SDK retries, so
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# no call can silently inherit the SDK's 600s x2 (~30 min). No length cap
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