Last missing core piece of KB phase 4: kb-query no longer hard-fails /search when Ollama@SOLARIA is unreachable. app/fallback.py implements the plan's circuit-breaker exactly (30s cached health probe, 3s hard embed timeout on SOLARIA, one-shot same-request switch to a new local ollama-piha@PIHA container on timeout/error). sol_status in /healthz and /search now reflects the real breaker state instead of a hardcoded "up". New services/ollama-piha (bge-m3, OLLAMA_KEEP_ALIVE=0, arm64/no-GPU) is the local fallback leg. Live calibration on PIHA (2026-07-27, normal load): embed latency 4.2-5.2s, RAM peak ~983MiB against a 2.5GiB ceiling -- both inside the plan's go-bar, so the fallback is enabled by default rather than gated behind a flag. Calibration also surfaced and disabled (not removed) a previously-undocumented orphaned native ollama.service on PIHA that had been conflicting with the container's port. The embed-model invariant (query embedding == document_chunk.model) still enforces once at startup, since both fallback legs share one EMBED_MODEL constant by construction; a redundant per-request DB check was deliberately skipped and the invariant is instead proven structurally by test. retrieval_eval.py gains --transport http (plan §2 decision 6/§9), previously unimplemented. Verified live: HTTP transport is bit-identical to direct transport against the same live SOLARIA (0 mismatches), and a live sol-down simulation (kb-query's own OLLAMA_URL pointed at a dead address, no other Ollama consumer touched) shows the PIHA fallback answering with the same hit@3 gate outcome and dist within ~3e-4 of the SOLARIA baseline. Zero changes to DB schema or kb_retrieval's retrieval logic -- only the embed + health layer, per task constraints. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
27 lines
1.5 KiB
YAML
27 lines
1.5 KiB
YAML
services:
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ollama-piha:
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image: ollama/ollama:latest
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container_name: ollama-piha
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restart: unless-stopped
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ports:
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# Loopback: healthcheck.sh curls localhost directly on the node. LAN IP: kb-query@PIHA
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# reaches this over the host's LAN interface -- kb-query runs in its own Docker network
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# (separate compose project), same reasoning as kb-query's KB_DSN reaching kb-postgres.
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# Requires .env (from env.example) next to this file at deploy.
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- "127.0.0.1:11434:11434"
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- "${LAN_BIND_IP}:11434:11434"
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environment:
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# Module 5 phase 4 plan §2 decision 2 / §5 requirement: the model is loaded only for the
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# duration of a request and released immediately after -- RPi5 has no GPU and limited RAM
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# (hosts/piha/capabilities.yaml: arm64, 4 cores, no acceleration), so this is a short burst
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# spike (idle Ollama binary ~100 MB) rather than a permanent ~1.5-2 GB resident cost. This
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# is a fallback-only path (kb-query only reaches this when SOLARIA is down/times out), not
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# the default hot path, so paying a cold-load per request here is the correct trade-off.
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- OLLAMA_KEEP_ALIVE=0
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volumes:
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- /opt/homelab/data/ollama-piha:/root/.ollama
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# No GPU reservation -- PIHA is arm64 with no acceleration (hosts/piha/capabilities.yaml),
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# unlike services/ollama@SOLARIA. CPU-only inference here is expected to be slower; that is
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# exactly what the plan §5 live calibration step measures before this is trusted as a
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# default fallback (see README.md "Calibration status").
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