feat: add llm.Foreman() constructor for foreman daemon integration #4
@@ -32,3 +32,13 @@
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6. Streaming via pull-based `StreamReader.Next()`
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7. Middleware for logging, retry, timeout, usage tracking
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8. Ollama uses the native `/api/chat` API rather than the OpenAI-compat `/v1` endpoint. Native API supports `think: false` for thinking-capable models, has more reliable tool calling, and is approximately 15-20% lower latency. Both local and cloud share the same provider; only the apiKey/baseURL differ. `llm.Ollama()` targets `http://localhost:11434` with no Authorization header; `llm.OllamaCloud(key)` targets `https://ollama.com` with `Authorization: Bearer <key>`.
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### DD#9 — foreman integration via thin Foreman() constructor (2026-05-23)
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**Context:** foreman is a private queued Ollama endpoint. It speaks native Ollama
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on the wire, so no new provider is needed.
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**Decision:** `llm.Foreman(baseURL, apiKey)` delegates to `ollamaProvider.New()`.
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baseURL is positional and required (no sensible default for a private daemon).
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apiKey can be empty for network-trusted deployments.
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**Consequence:** Zero new code paths. Streaming, tool use, and think work through
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the existing native ollama provider. A dedicated foreman provider (Level 2) is
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deferred unless async /jobs or webhook integration is needed at the llm layer.
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