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AkitaOnRailsandClaude Opus 4.7
658a0bfae4
Adds the deploy plumbing modelled on ~/Projects/frank_mega's bin/deploy
pattern: a single shell script that builds the image, pushes to a
registry, ssh's the homelab, and `docker compose pull/down/up`s.
Lab-specific values (server, deploy dir, image tag, API keys) live in
.gitignored local files; the repo ships only `.example` templates.
Files added (templates, committed):
- bin/deploy — build/push/restart script; sources bin/deploy.env
- bin/deploy.env.example — SERVER / DEPLOY_DIR / IMAGE template
- docker/docker-compose.prod.yml.example — LAN-binding compose with
`security_opt: label:disable` (required on SELinux-enforcing hosts:
openSUSE MicroOS, Fedora, RHEL) and env_file for secrets
- docker/.env.production.example — API key + provider env template
- docs/deploy.md — first-time setup walkthrough + routine ops
Files added to .gitignore (live copies stay local):
- /bin/deploy.env
- /docker/docker-compose.prod.yml
- /docker/.env.production
Supporting changes surfaced while deploying:
- Default LLM model per provider now lands in factory.rs
(anthropic=claude-sonnet-4-6, openai=gpt-4o-mini; openai-compat
still requires explicit AI_MEMORY_LLM_MODEL). M11 referenced this
in its commit message but the actual code change never made it
into factory.rs; this fixes that gap.
- Stale `claude-sonnet-4-7` references swept to `claude-sonnet-4-6`
across cli.rs / payload.rs / README.md / ARCHITECTURE.md.
Anthropic's API returns 404 for `claude-sonnet-4-7`; the current
Sonnet generation is 4.6.
- Dockerfile was the lone file the earlier port-rename sed missed
(no extension matched my `--include`). EXPOSE + CMD now both use
49374; the container was binding to 7777 silently.
- max_tokens bumped 1500→4000 (single-page consolidator) and
2000→4000 (lint contradiction pass) to accommodate reasoning
models. Kimi 2.6 burns ~2k tokens on hidden reasoning before any
visible JSON, which truncated both paths at the old limits. Non-
reasoning models stop early and don't pay extra for the higher cap.
- Removed `#[serde(deny_unknown_fields)]` from Config. Figment's
Env::prefixed("AI_MEMORY_") provider pulls every AI_MEMORY_-
prefixed var into the struct deserializer, including
AI_MEMORY_LLM_*, AI_MEMORY_EMBEDDING_*, etc. — which are read
directly by factory.rs. Strict rejection crashed every deploy
that configured an LLM via env vars.
End state: container running on the homelab at
http://<homelab>:49374/mcp, healthy, configured for Kimi 2.6 (via
OpenRouter / openai-compat) + text-embedding-3-small hybrid retrieval.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
48 lines
1.9 KiB
Plaintext
48 lines
1.9 KiB
Plaintext
# Production docker-compose template for ai-memory on a homelab host.
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#
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# Copy to docker/docker-compose.prod.yml, adjust if you want, then
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# scp it to your homelab as docker-compose.yml in the deploy dir.
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# The .example variant is committed; the live copy is gitignored.
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#
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# Differences from docker/docker-compose.yml (the local-dev compose):
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# - References an image from a registry instead of building inline.
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# - Binds to 0.0.0.0 so the LAN can reach the MCP endpoint.
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# - Reads secrets from .env.production rather than inlining them.
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# - Volume mounts a host path (under /var/opt/docker/...) so backups
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# can rsync the wiki + db without going through Docker volume APIs.
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name: ai-memory
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services:
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ai-memory:
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image: akitaonrails/ai-memory:latest
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container_name: ai-memory
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restart: unless-stopped
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user: "1000:1000"
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# openSUSE MicroOS / Fedora / RHEL etc. enforce SELinux on bind
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# mounts by default; without this the container can't read its
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# own /data dir. Safe on hosts that don't enforce SELinux (it's
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# a no-op there).
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security_opt:
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- label:disable
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ports:
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# LAN-accessible. Behind your home firewall, this is fine. If
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# you want loopback-only (server-local clients only), change to
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# "127.0.0.1:49374:49374".
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- "0.0.0.0:49374:49374"
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volumes:
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# Data lives on the host. Back up with: rsync, btrfs snapshots,
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# restic — anything that can read this directory.
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- /var/opt/docker/utils/ai-memory/data:/data
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env_file:
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- .env.production
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environment:
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# Tracing filter; promote modules to debug here without rebuilding.
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- RUST_LOG=ai_memory=info,ai_memory_store=info,ai_memory_wiki=info,ai_memory_mcp=info,tracing_appender=warn
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healthcheck:
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test: ["CMD", "/usr/local/bin/ai-memory", "status"]
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interval: 30s
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timeout: 5s
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retries: 3
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start_period: 5s
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