infra: replace gpt-oss with Ollama Pro + OpenCode Zen across hot paths
Ollama Pro plan went live today (39-model fleet on the same OLLAMA_CLOUD_KEY) and OpenCode Zen was already wired in the gateway but not consumed. Routing every gpt-oss call site to faster / stronger replacements: | Site | gpt-oss → replacement | Why | |---|---|---| | ollama_cloud default | gpt-oss:120b → deepseek-v3.2 | newest DeepSeek revision; live-probed `pong` | | openrouter default | openai/gpt-oss-120b:free → x-ai/grok-4.1-fast | already the scrum LADDER's PRIMARY | | modes.toml staffing_inference | openai/gpt-oss-120b:free → kimi-k2.6 | coding-specialized, on Ollama Pro | | modes.toml doc_drift_check | gpt-oss:120b → gemini-3-flash-preview | speed leader for factual checks | | scrum_master_pipeline tree-split MAP+REDUCE | gpt-oss:120b → gemini-3-flash-preview | latency-dominated path (5-20× per file) | | bot/propose.ts CLOUD_MODEL | gpt-oss:120b → deepseek-v3.2 | same Ollama key, faster | | mcp-server/observer.ts overseer label fallback | gpt-oss:120b → claude-opus-4-7 | matches new overseer model | | crates/gateway/src/execution_loop overseer escalation | ollama_cloud/gpt-oss:120b → opencode/claude-opus-4-7 | frontier reasoning matters here — fires only after local self-correct fails twice; Zen pay-per-token cost is bounded | Verification: - `cargo check -p gateway --tests` — clean - Live probes through localhost:3100/v1/chat: - `opencode/claude-opus-4-7` → "pong" - `gemini-3-flash-preview` (ollama_cloud) → "pong" - `kimi-k2.6` (ollama_cloud) → "pong" - `deepseek-v3.2` (ollama_cloud) → "Pong! 🏓" Notes: - kimi-k2:1t still upstream-broken (HTTP 500 on Ollama Pro probe today, matches yesterday's memory). Replacement table never picks it. - The Rust changes need a `systemctl restart lakehouse.service` to take effect on the running gateway. TS callers reload on next run. - aibridge/src/context.rs still has gpt-oss:{20b,120b} in its window- size lookup table; harmless and kept for callers that pass it explicitly as an override. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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@@ -1143,9 +1143,15 @@ Format each as a code-fenced block with the byte offset within the shard:
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EXACT LINE OF SOURCE — DO NOT PARAPHRASE, DO NOT TRUNCATE
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\`\`\`
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Pick the most reviewer-relevant lines: route definitions (e.g. \`@app.route(...)\`), function signatures, security-sensitive calls (auth/SQL/exec/template/secrets), hardcoded credentials/defaults, exception handlers, sensitive imports. The reviewer will REFUSE to act on any claim not backed by a verbatim anchor — so anchors are how you prove findings are real.`;
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// 2026-04-28: gpt-oss:120b → gemini-3-flash-preview via Ollama
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// Pro. Tree-split MAP fires once per shard (potentially 5-20×
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// per file), so latency dominates total scrum time. Gemini 3
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// flash returns shard digests substantially faster than the old
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// 120B free model while staying strong enough for byte-anchored
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// extraction.
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const r = await chat({
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provider: "ollama_cloud",
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model: "gpt-oss:120b",
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model: "gemini-3-flash-preview",
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prompt,
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max_tokens: 900,
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});
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@@ -1195,9 +1201,14 @@ COPY EVERY anchor block from the piece notes IN ORDER, character-perfect. DO NOT
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Output the anchor blocks under their original \`\`\`@offset...\`\`\` fences, each on its own with a blank line between. The reviewer rejects findings that don't quote a string from this anchors block, so completeness here directly determines review quality.`;
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// 2026-04-28: gpt-oss:120b → gemini-3-flash-preview via Ollama
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// Pro. The reducer runs once per file (vs once per shard for MAP)
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// but on a much larger context (all shard digests stacked), so
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// throughput per token still matters. Same model as MAP for
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// consistency in tree-split outputs.
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const reduced = await chat({
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provider: "ollama_cloud",
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model: "gpt-oss:120b",
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model: "gemini-3-flash-preview",
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prompt: reducePrompt,
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max_tokens: 2400,
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});
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