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Organized Research Facility"},"license":"Apache-2.0","homepage":"https://auggy.dev","keywords":["auggy","ollama","local","llama","qwen","engine","adapter"],"repository":{"type":"git","url":"git+https://github.com/looselyorganized/auggy.git","directory":"packages/ollama"},"description":"Ollama engine adapter for Auggy, supporting local and remote Ollama servers.","maintainers":[{"name":"bigviking","email":"michael.hofweller@gmail.com"}],"readme":"# @auggy/ollama\n\nOllama engine adapter for [Auggy](https://www.npmjs.com/package/auggy), supporting local and remote Ollama servers. Local Ollama needs no API key.\n\n## Install\n\n```bash\nbun add auggy @auggy/ollama\n```\n\n`auggy create` writes the audited transitive dependency overrides. For a direct\npackage install, copy the `overrides` block from the installed `auggy` manifest\ninto the consumer application's root `package.json`; package managers do not\ninherit overrides from dependencies. This is required until\n`@modelcontextprotocol/sdk` accepts the fixed `@hono/node-server` v2 range.\nThe peer is optional only to package installers; the adapter imports Auggy at\nruntime, so install the matching local core explicitly.\n\n## Setup\n\n1. Install Ollama from [ollama.com](https://ollama.com)\n2. Start the server: `ollama serve`\n3. Pull a tool-capable model: `ollama pull qwen3.5:9b`\n4. Scaffold an auggy agent and pick the `ollama` provider:\n\n```bash\nauggy create my-agent\n# → at the engine-provider prompt, choose \"ollama\"\n# → installed tool-capable models appear first in the model prompt\n```\n\n`auggy create` installs `@auggy/ollama` into the agent directory and asks\nwhether Ollama is local or remote. Local Ollama needs no API key. For Ollama\nCloud or a bearer-gated proxy, enter the remote URL and store the bearer in\n`OLLAMA_API_KEY` when prompted.\n\n## agent.yaml\n\n```yaml\nengine:\n  provider: ollama\n  model: qwen3.5:9b\n  # Optional:\n  # baseURL: http://localhost:11434         # default\n  # maxContextTokens: 8192                  # default (Llama 3.2 supports up to 128k)\n  # maxTokens: 2048                         # default; per-turn output cap\n  # requestTimeoutMs: 120000                # one attempt; maximum 600000\n  # keepAlive: \"5m\"                         # default; how long to keep the model loaded\n  # options:                                # native Ollama generation options\n  #   temperature: 0.7\n  #   seed: 42\n```\n\nEvery request has one finite attempt. The deadline covers both buffered and\nstreaming SDK fetches, including local model stalls; automatic retries are not\nperformed.\n\nRemote Ollama endpoints that receive `OLLAMA_API_KEY` must use HTTPS. Plain\nHTTP with a credential is allowed for loopback only. The explicit\n`allowInsecureHttpWithCredentials: true` override works only when\n`NODE_ENV=development` and must never be used for staging or production.\n\n## Recommended models (tool-capable)\n\nOllama models vary in structured tool-call reliability. The create wizard\ndiscovers locally installed models and prioritizes these supported families:\n\n- `qwen3.6`\n- `qwen3.5`\n- `qwen3`\n- `gemma4`\n- `glm-5.1`\n- `deepseek-v3.2`\n\nThe current first-pull recommendation is `qwen3.5:9b`. Other installed models\nremain selectable through the custom-model path, but weak or non-standard tool\ncalling can lead to empty turns or loops.\n\n## Pricing\n\n`costUsd` is always `undefined` for `ollama`-provider responses — Ollama is free, there are no API charges. The `budgets` augment cannot enforce `dailyBudgetUsd` against ollama agents. Use these instead:\n\n- `budgets.maxTurnsPerThread` — caps turns per conversation\n- `budgets.anonymousGlobalLimit` — caps total anonymous turns per day\n\n## Common errors\n\n- **`fetch failed`** — Ollama server isn't running. Start it with `ollama serve` (in a separate terminal or as a service).\n- **`model \"X\" not found`** — Model isn't pulled locally. Run `ollama pull <model>` once; subsequent runs reuse the cached model.\n- **Empty responses / agent loops forever** — The selected model doesn't support tool-calling. Switch to one of the recommended models above.\n\n## Native API\n\nThis adapter uses Ollama's native `/api/chat` HTTP endpoint via the official [`ollama`](https://github.com/ollama/ollama-js) npm SDK. It does **not** route through Ollama's OpenAI-compatibility shim at `/v1`. Why native:\n\n- Clearer tool-call error surfacing\n- `keep_alive` (model unload control), `format: json`, and Ollama-specific generation options pass through directly\n- No vestigial OpenAI pricing/auth machinery\n- Foundation for Ollama-specific features (model listing, native vision, etc.) without an adapter rewrite\n\n## License\n\nApache-2.0\n","readmeFilename":"README.md"}