Update Ollama Cloud Models

Update the Ollama Cloud model list

Overview

Pinchy curates the tool-capable Ollama Cloud models it surfaces in packages/web/src/lib/ollama-cloud-models.ts. This skill keeps that list fresh and correct when Ollama adds, removes, or resizes models.

Core principle: never trust the ollama.com/library/<name> capability tags. They lie — devstral-small-2 and qwen3.5 advertise vision but hallucinate image contents; gemini-3-flash-preview advertises tools but leaks the call as plain text. Every vision/reasoning flag in the list is set from what the live API actually does, not from what a page claims. The whole file exists because the tags are unreliable. Setting a flag from a library page instead of a probe is the one mistake this skill is here to prevent.

When to use

• An ollama-cloud email/announcement mentions a new model or version.
• Preparing a Pinchy release (this is a pre-release checklist item — run it even for tiny releases).
• Before any Eval-v1 sweep (iron rule 1 of the run-model-eval skill). The benchmark's whole claim is that it measures what the provider actually serves today, so a sweep against a drifted catalog is worse than no sweep: it burns hours on models that 404, and publishes a model set the provider retired. This is not hypothetical — Ollama retired deepseek-v3.2 and glm-4.7 on 2026-07-15 and the catalog still carried both two days later, because nothing in either skill said to check before a sweep.
• You suspect the catalog drifted (a model 404s, a tier pick feels stale).

Do not add a model from its library page alone, ever. No key → no verified flags → no add (see "If you have no API key").

Prerequisite

The probes hit the live API and need a key:

export OLLAMA_CLOUD_API_KEY=...   # an Ollama Pro/Max key

Without it every script below skips with exit 0 — useful in CI, useless for actually verifying. Ask the user for the key; do not guess flags to work around a missing key.

The working key lives in ~/.openclaw/openclaw.json → models.providers.ollama-cloud.apiKey. The repo-root .env also defines OLLAMA_CLOUD_API_KEY and its copy was expired on 2026-07-30 — same length, different value — so prefer the OpenClaw config and treat .env as a fallback. Never print either.

Verify the key before you trust a sweep. /v1/models and /api/show are public: pnpm models:discover returns a full, correct delta with a dead key, and /api/show reports capabilities and context length too. Only /v1/chat/completions is authenticated. So a green discovery step says nothing about the key, and the first thing you learn otherwise is DRIFT (round 1 HTTP 401) on every model — which reads like a catalog catastrophe. One cheap check:

pnpm models:verify:tools --only=glm-5.2

A 401 there is the key, not the catalog.

Source of truth and everything derived from it

ollama-cloud-models.ts is the single source. When you change it, re-check these derived sites in the SAME change:

Procedure

1. Discover the delta. pnpm models:discover.

   • REMOVED = a curated model is gone upstream → drop it (step 6). The run exits non-zero so this is never silent.
   • ADDED = served models we don't carry. /v1/models has no capability tags, so this includes chat-only models. Triage, don't bulk-add.

2. Narrow ADDED to tool-capable cloud candidates. Cross-check each against ollama.com/library/<name> and ollama.com/search?c=tools&c=cloud. The search page is incomplete — trust the individual library page. A model with no "tools" tag is not a candidate (every Pinchy agent uses tools).

3. Read each candidate's library page for:

   • context window → contextWindow. Ollama uses "NK" = N × 1024 (160K → 163840). For a "up to X / minimum Y" model, use the guaranteed floor (e.g. minimax-m3 → 524288).
   • whether it carries the thinking tag → provisional reasoning.
   • whether it claims Image input → provisional vision (to be verified, not trusted).
   • maxTokens: 8192 by default; use the higher value only for output-heavy Gemini-Flash-class models.

4. Add a provisional entry to TOOL_CAPABLE_OLLAMA_CLOUD_MODELS (alphabetical within its family block) with your provisional flags. Keep cost zero — Ollama Cloud is subscription-billed, not per-token.

5. Verify empirically and set flags from the RESULT:

   pnpm models:verify:tools --only=<id>     # round-1 tool_call + multi-turn follow-up
   pnpm models:verify:vision --only=<id>    # only if you set vision:true

   • models:verify:tools probes two rounds: a structured tool_call, then a follow-up after a tool result. Both must pass. This catches the gemma3 / kimi-k2-thinking failure mode (clean single-turn call, then HTTP 500 once the history carries a tool result) that single-turn probing misses.
   • A single passing run is a smoke test, not a reliability proof. Some models are intermittent — qwen3-next emits a clean call 3 of 4 rounds, and gemma3 flip-flopped from multi-turn-500 (2026-06-12) to passing (2026-06-17). For a new addition, run the probe several times before trusting it; the existing catalog entries cite "4/4 rounds" for exactly this reason.
   • Tools drift (empty content, or leaked-as-text) → the model is not tool-capable. If it leaks but is otherwise good for chat, add it to the blocklist rather than the catalog. If it just never calls, drop it.
   • Vision: the probe now checks sight, not acceptance — it sends a 512x512 fixture carrying the number 7413 and requires the model to report it, so the accepted-but-hallucinated case (qwen3.5, 2026-06) fails on its own instead of needing a manual follow-up. Verdicts: ok, drift, fixture-rejected, unexpected. When genuinely unsure, still prefer vision:false (conservative side).
   • A vision DRIFT report can be the probe's own fault. On 2026-07-30 the pinned 64x64 fixture had become undecodable to Ollama's backends and the sweep reported 6 of 18 models as drift; obeying it would have flipped six correct flags. Tell the two apart by the shape of the failure: if models that merely reject images by policy pass while every model that actually decodes one fails, the fixture is dead, not the fleet. fixture-rejected exists to say so — never flip a flag on a decode complaint. Regenerate the fixture (well above 256x256) and re-run.
   • gemma4:31b HTTP 500s on roughly half its image requests. The probe retries transient statuses; a 500 is never read as "no vision".
   • Record the verdict + date in a code comment, matching the existing entries. When you REVERSE an earlier verdict, say so and keep the old reasoning visible — kimi-k2.7-code and qwen3.5:397b were both vision:false for a month, and a bare vision: true invites the next reader to "fix" it back.

6. Handle REMOVED. Delete the stale entry, then fix any tsc error it surfaces in providers/ollama-cloud.ts (re-point the tier).

7. Update the drift tests. The catalog is snapshotted in several tests — adding/removing a model drifts ALL of them, not just the first one:

   • __tests__/lib/ollama-cloud-models.test.ts — add a dated, empirical assertion for each non-obvious flag (the TDD record of what you verified).
   • __tests__/lib/provider-models.test.ts — model-ID lists + a hardcoded count (toHaveLength).
   • __tests__/lib/openclaw-config.test.ts — the written-config list, the per-model contextWindow, and the reasoning/input lists.
   • __tests__/lib/model-vision.integration.test.ts — isModelVisionCapable assertions (DB-backed; only pnpm test:db runs it, not pnpm test).
   • __tests__/lib/model-capabilities/seed.integration.test.ts — DB-backed too, and it asserts a FLOOR on the built-in model count (>= 30 until the 2026-07-15 wave cut the catalog to 18). A retirement trips it.
   • __tests__/lib/ollama-cloud-image-preference-drift.test.ts — guards the image-preference list.
   • __tests__/lib/vision-model-chain.test.ts — its fixture simulates the LIVE cloud catalog, so a retired vision model must be swapped there too.
   • src/lib/model-resolver/__tests__/ollama-cloud.test.ts — NOTE the path: it sits under src/lib/model-resolver/, not under src/__tests__/lib/ where the other catalog drift tests live. (A duplicate under src/__tests__/lib/ is gone as of 2026-07-30 — glob for *ollama-cloud*.test.ts rather than trusting this list, so a moved file surfaces as a missing path.)
   • scripts/lib/ollama-cloud-source.test.mjs — run by pnpm test:scripts, NOT by pnpm test. It pins one model's fields as a parser fixture and asserts a catalog-size floor; both break on a retirement.

8. Run the gates — the FULL suites, not just the one drift test. A removed model drifts unit AND DB-backed snapshots; pnpm test alone misses the *.integration.test.ts ones (that gap cost a red CI run once):

   pnpm test:scripts
   pnpm -C packages/web test          # full unit suite — all the snapshot tests
   pnpm -C packages/web test:db       # DB-backed: model-vision.integration etc.
   pnpm -C packages/web typecheck     # incl. tests; the ID union catches stale refs
   pnpm format:check

   test:db needs a Postgres on this worktree's allocated port. pnpm worktree:env writes the allocation, then start one with the DB name the suite expects:

   docker run -d --name pinchy-<slug>-testdb -e POSTGRES_USER=pinchy -e POSTGRES_PASSWORD=pinchy_dev -e POSTGRES_DB=pinchy_test_vitest -p <DEV_DB_PORT>:5432 pgvector/pgvector:pg17-trixie

   The union is the gate that finds references the drift tests miss — removing nemotron-3-nano:30b surfaced a stale eval/pricing/model-pricing.ts entry that no test covers.