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adapter for Zhivex AI SDK.","maintainers":[{"name":"mortiz.zhivex","email":"mortiz@zhivex.com"}],"readme":"# @zhivex-ai/ollama\n\nOllama adapter for Zhivex AI SDK.\n\n## Install\n\n```bash\nbun add @zhivex-ai/sdk @zhivex-ai/ollama\n```\n\n## Usage\n\nStart Ollama and pull the model before running the example:\n\n```bash\nollama pull qwen3\n```\n\n```ts\nimport { generateText } from \"@zhivex-ai/sdk\";\nimport { createOllama } from \"@zhivex-ai/ollama\";\n\nconst ollama = createOllama({\n  baseURL: process.env.OLLAMA_HOST ?? \"http://localhost:11434\"\n});\n\nconst result = await generateText({\n  model: ollama(\"qwen3\"),\n  prompt: \"Explain why local inference is useful.\",\n  reasoning: {\n    effort: \"medium\"\n  }\n});\n\nconsole.log(result.text);\n```\n\nThe adapter supports streaming, callable and parallel tools, JSON/structured output, image input, thinking, and text embeddings through `ollama.embeddingModel(modelId)`. Exact capabilities depend on the selected local or cloud model.\n\nTool-call arguments use Ollama's native JSON-object shape in both responses and follow-up assistant history. Legacy responses that encode arguments as JSON strings remain accepted. Streaming `{ \"error\": ... }` records are surfaced as provider errors even when the HTTP response already started with status 200.\n\nThe adapter targets `/api/chat`. Chat-native `logprobs` and `top_logprobs` are supported and validated; `/api/generate`-only `raw` and `template` options are rejected explicitly.\n\n## Thinking and tool loops\n\nThe shared reasoning contract maps `effort: \"none\"` to `think: false`. Recognized Qwen 3/3.5, DeepSeek R1/v3.1, and Gemma 4 models preserve the native `low`, `medium`, `high`, and `max` levels. GPT-OSS accepts only `low`, `medium`, or `high` and cannot disable thinking.\n\nMeta Muse Glimmer is recognized under both current Ollama IDs, `muse-glimmer:30b` and `muse-glimmer:30b-mlx`. Its controllable reasoning maps `none`, `low`, `medium`, and `high` to Ollama's native `think` field; `max` is rejected because Ollama does not document that strength for Glimmer.\n\nReturned `message.thinking` content is preserved as Ollama `provider-data`, including streamed deltas, and is sent back with assistant tool calls during multi-step loops. `budgetTokens`, reasoning `mode`/`context`, and hiding thinking while an explicit effort is active are rejected instead of being silently ignored.\n\nUse either the shared `reasoning` option or native `providerOptions.think`, not both. Shared reasoning is advertised only for recognized thinking-model families; custom or newly released models can use `providerOptions.think` as the explicit escape hatch.\n\n## Ollama Cloud\n\nThe local daemon requires no API key. For direct Ollama Cloud access, use the official Cloud base URL and a key:\n\n```ts\nconst ollamaCloud = createOllama({\n  baseURL: \"https://ollama.com/api\",\n  apiKey: process.env.OLLAMA_API_KEY\n});\n\nconst result = await generateText({\n  model: ollamaCloud(\"gpt-oss:120b\"),\n  prompt: \"Summarize this design.\",\n  reasoning: { effort: \"high\" }\n});\n```\n\n`baseURL` may be the host root or end in `/api`; the adapter avoids duplicating the path. Direct `ollama.com` requests normally authenticate with `apiKey`, `OLLAMA_API_KEY`, or an explicit `Authorization` header. Custom headers can be provided through `createOllama({ headers })`, and an authenticated custom `fetch` remains supported for gateways that sign requests themselves.\n\nOllama Cloud does not currently support structured outputs or expose embedding models, so direct Cloud model instances advertise those capabilities as unavailable; model IDs tagged `cloud` or `*-cloud` also disable structured-output metadata. A signed-in local Ollama daemon can still proxy cloud models without passing a Cloud key to this SDK and can embed through locally installed models.\n\nThe adapter does not expose provider-hosted tools, Ollama's separate web-search/web-fetch APIs, remote MCP, audio, or files.\n\n`createOllama()` reads `OLLAMA_HOST` and otherwise defaults to `http://localhost:11434`. An explicit `baseURL` takes precedence.\n\nPlain HTTP is accepted only for loopback Ollama endpoints. Remote endpoints require HTTPS unless a server-side integration explicitly sets `allowUnsafeEndpoints: true`.\n\nRepository and full documentation:\n\n- <https://github.com/Zhivex/zhivex-ai-sdk>\n\n## Qwen 3.8\n\nThe `qwen3.8` family, including explicit local tags such as `qwen3.8:27b`, is recognized for reasoning and included in the SDK catalog. Existing native thinking and tool-loop mappings apply. Cloud structured-output restrictions remain unchanged. Install and verify the exact local model artifact before relying on its capabilities.\n\nSee the [Ollama model page](https://ollama.com/library/qwen3.8).\n","readmeFilename":"README.md"}