Sync ollama docs from 948f6933 on 2026-08-12

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The Librarian
2026-08-12 04:00:08 +00:00
parent 6d510760b7
commit 1f556d946e
21 changed files with 162 additions and 251 deletions
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@@ -16,7 +16,7 @@ After installation, Ollama's API is served by default at:
http://localhost:11434/api
```
For running cloud models on **ollama.com**, the same API is available with the following base URL:
For running cloud models on [ollama.com](https://ollama.com), the same API is available with the following base URL:
```
https://ollama.com/api
@@ -40,7 +40,7 @@ Ollama has official libraries for Python and JavaScript:
- [Python](https://github.com/ollama/ollama-python)
- [JavaScript](https://github.com/ollama/ollama-js)
Several community-maintained libraries are available for Ollama. For a full list, see the [Ollama GitHub repository](https://github.com/ollama/ollama?tab=readme-ov-file#libraries-1).
Several community-maintained libraries are available for Ollama. For a full list, see the [Ollama GitHub repository](https://github.com/ollama/ollama?tab=readme-ov-file#libraries--sdks).
## Versioning
-67
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@@ -279,73 +279,6 @@ curl -X POST http://localhost:11434/v1/chat/completions \
- [x] `dimensions`
- [ ] `user`
### `/v1/images/generations` (experimental)
> Note: This endpoint is experimental and may change or be removed in future versions.
Generate images using image generation models.
<CodeGroup dropdown>
```python images.py
from openai import OpenAI
client = OpenAI(
base_url='http://localhost:11434/v1/',
api_key='ollama', # required but ignored
)
response = client.images.generate(
model='x/z-image-turbo',
prompt='A cute robot learning to paint',
size='1024x1024',
response_format='b64_json',
)
print(response.data[0].b64_json[:50] + '...')
```
```javascript images.js
import OpenAI from "openai";
const openai = new OpenAI({
baseURL: "http://localhost:11434/v1/",
apiKey: "ollama", // required but ignored
});
const response = await openai.images.generate({
model: "x/z-image-turbo",
prompt: "A cute robot learning to paint",
size: "1024x1024",
response_format: "b64_json",
});
console.log(response.data[0].b64_json.slice(0, 50) + "...");
```
```shell images.sh
curl -X POST http://localhost:11434/v1/images/generations \
-H "Content-Type: application/json" \
-d '{
"model": "x/z-image-turbo",
"prompt": "A cute robot learning to paint",
"size": "1024x1024",
"response_format": "b64_json"
}'
```
</CodeGroup>
#### Supported request fields
- [x] `model`
- [x] `prompt`
- [x] `size` (e.g. "1024x1024")
- [x] `response_format` (only `b64_json` supported)
- [ ] `n`
- [ ] `quality`
- [ ] `style`
- [ ] `user`
### `/v1/responses`
> Note: Added in Ollama v0.13.3