Add new Mintlify documentation site (docs_new/) (#23001)
Co-authored-by: AdityaVKochar <adityavardhankochar@gmail.com> Co-authored-by: mintlify[bot] <109931778+mintlify[bot]@users.noreply.github.com> Co-authored-by: adhyan-jain <adhyanjain2006@gmail.com> Co-authored-by: Adhyan Jain <71976554+adhyan-jain@users.noreply.github.com> Co-authored-by: Maitri-shah29 <maitrirajivshah@gmail.com> Co-authored-by: Adarsh Shirawalmath <114558126+adarshxs@users.noreply.github.com> Co-authored-by: Maitri Shah <shah29maitri@gmail.com> Co-authored-by: Aditya Vardhan Kochar <80113212+AdityaVKochar@users.noreply.github.com> Co-authored-by: Rishit Shivam <164783543+pokymono@users.noreply.github.com> Co-authored-by: Rishitshivam <164783543+Rishitshivam@users.noreply.github.com> Co-authored-by: IshhanKheria <ishhankheria06@gmail.com> Co-authored-by: Ishita Joshi <ishitata.joshi@gmail.com> Co-authored-by: Richard Chen <104477092+Richardczl98@users.noreply.github.com> Co-authored-by: longGGGGGG <553746008@qq.com> Co-authored-by: Richard <richardchen@radixark.ai> Co-authored-by: Nakul Sinha <nakul.new4socials@gmail.com> Co-authored-by: Divyam Agrawal <ludicrouslytrue@gmail.com> Co-authored-by: Richardczl98 <Zhenlinc@stanford.edu> Co-authored-by: Krishang Zinzuwadia <krishangzinzuwadia@gmail.com> Co-authored-by: nimeshas <nimesha.s106@gmail.com> Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com> Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com> Co-authored-by: Jignas Paturu <86356085+JignasP@users.noreply.github.com> Co-authored-by: zijiexia <37504505+zijiexia@users.noreply.github.com>
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AdityaVKochar
mintlify[bot]
adhyan-jain
Adhyan Jain
Maitri-shah29
Adarsh Shirawalmath
Maitri Shah
Aditya Vardhan Kochar
Rishit Shivam
Rishitshivam
IshhanKheria
Ishita Joshi
Richard Chen
longGGGGGG
Richard
Nakul Sinha
Divyam Agrawal
Richardczl98
Krishang Zinzuwadia
nimeshas
Claude Opus 4.6
github-actions[bot]
Jignas Paturu
zijiexia
parent
575fdc2c4c
commit
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---
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title: "Ollama-Compatible API"
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metatags:
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description: "SGLang provides Ollama API compatibility, allowing you to use the Ollama CLI and Python library with SGLang as the inference backend."
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---
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SGLang provides Ollama API compatibility, allowing you to use the Ollama CLI and Python library with SGLang as the inference backend.
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## Prerequisites
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<CodeGroup>
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```bash Command
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# Install the Ollama Python library (for Python client usage)
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pip install ollama
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```
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</CodeGroup>
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<Note>You don't need the Ollama server installed - SGLang acts as the backend. You only need the `ollama` CLI or Python library as the client.</Note>
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## Endpoints
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<table style={{width: "100%", borderCollapse: "collapse", tableLayout: "fixed"}}>
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<colgroup>
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<col style={{width: "34%"}} />
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<col style={{width: "33%"}} />
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<col style={{width: "33%"}} />
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</colgroup>
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<thead>
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<tr style={{borderBottom: "2px solid #d55816"}}>
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<th style={{textAlign: "left", padding: "10px 12px", fontWeight: 700, whiteSpace: "nowrap", backgroundColor: "rgba(255,255,255,0.02)"}}>Endpoint</th>
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<th style={{textAlign: "left", padding: "10px 12px", fontWeight: 700, whiteSpace: "nowrap", backgroundColor: "rgba(255,255,255,0.05)"}}>Method</th>
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<th style={{textAlign: "left", padding: "10px 12px", fontWeight: 700, whiteSpace: "nowrap", backgroundColor: "rgba(255,255,255,0.02)"}}>Description</th>
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</tr>
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</thead>
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<tbody>
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<tr>
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<td style={{padding: "9px 12px", fontWeight: 500, backgroundColor: "rgba(255,255,255,0.02)"}}>`/`</td>
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<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>GET, HEAD</td>
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<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>Health check for Ollama CLI</td>
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</tr>
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<tr>
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<td style={{padding: "9px 12px", fontWeight: 500, backgroundColor: "rgba(255,255,255,0.02)"}}>`/api/tags`</td>
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<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>GET</td>
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<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>List available models</td>
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</tr>
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<tr>
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<td style={{padding: "9px 12px", fontWeight: 500, backgroundColor: "rgba(255,255,255,0.02)"}}>`/api/chat`</td>
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<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>POST</td>
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<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>Chat completions (streaming & non-streaming)</td>
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</tr>
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<tr>
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<td style={{padding: "9px 12px", fontWeight: 500, backgroundColor: "rgba(255,255,255,0.02)"}}>`/api/generate`</td>
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<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>POST</td>
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<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>Text generation (streaming & non-streaming)</td>
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</tr>
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<tr>
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<td style={{padding: "9px 12px", fontWeight: 500, backgroundColor: "rgba(255,255,255,0.02)"}}>`/api/show`</td>
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<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>POST</td>
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<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>Model information</td>
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</tr>
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</tbody>
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</table>
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## Quick Start
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### 1. Launch SGLang Server
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<CodeGroup>
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```bash Command
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python -m sglang.launch_server \
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--model Qwen/Qwen2.5-1.5B-Instruct \
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--port 30001 \
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--host 0.0.0.0
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```
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</CodeGroup>
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<Note>The model name used with `ollama run` must match exactly what you passed to `--model`.</Note>
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### 2. Use Ollama CLI
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<CodeGroup>
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```bash Command
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# List available models
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OLLAMA_HOST=http://localhost:30001 ollama list
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# Interactive chat
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OLLAMA_HOST=http://localhost:30001 ollama run "Qwen/Qwen2.5-1.5B-Instruct"
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```
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</CodeGroup>
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If connecting to a remote server behind a firewall:
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<CodeGroup>
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```bash Command
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# SSH tunnel
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ssh -L 30001:localhost:30001 user@gpu-server -N &
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# Then use Ollama CLI as above
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OLLAMA_HOST=http://localhost:30001 ollama list
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```
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</CodeGroup>
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### 3. Use Ollama Python Library
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```python Example
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import ollama
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client = ollama.Client(host='http://localhost:30001')
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# Non-streaming
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response = client.chat(
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model='Qwen/Qwen2.5-1.5B-Instruct',
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messages=[{'role': 'user', 'content': 'Hello!'}]
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)
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print(response['message']['content'])
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# Streaming
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stream = client.chat(
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model='Qwen/Qwen2.5-1.5B-Instruct',
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messages=[{'role': 'user', 'content': 'Tell me a story'}],
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stream=True
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)
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for chunk in stream:
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print(chunk['message']['content'], end='', flush=True)
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```
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## Smart Router
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For intelligent routing between local Ollama (fast) and remote SGLang (powerful) using an LLM judge, see the [Smart Router documentation](https://github.com/sgl-project/sglang/blob/main/python/sglang/srt/entrypoints/ollama/README).
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## Summary
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<table style={{width: "100%", borderCollapse: "collapse", tableLayout: "fixed"}}>
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<colgroup>
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<col style={{width: "50%"}} />
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<col style={{width: "50%"}} />
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</colgroup>
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<thead>
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<tr style={{borderBottom: "2px solid #d55816"}}>
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<th style={{textAlign: "left", padding: "10px 12px", fontWeight: 700, whiteSpace: "nowrap", backgroundColor: "rgba(255,255,255,0.02)"}}>Component</th>
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<th style={{textAlign: "left", padding: "10px 12px", fontWeight: 700, whiteSpace: "nowrap", backgroundColor: "rgba(255,255,255,0.05)"}}>Purpose</th>
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</tr>
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</thead>
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<tbody>
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<tr>
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<td style={{padding: "9px 12px", fontWeight: 500, backgroundColor: "rgba(255,255,255,0.02)"}}>**Ollama API**</td>
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<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>Familiar CLI/API that developers already know</td>
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</tr>
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<tr>
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<td style={{padding: "9px 12px", fontWeight: 500, backgroundColor: "rgba(255,255,255,0.02)"}}>**SGLang Backend**</td>
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<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>High-performance inference engine</td>
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</tr>
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<tr>
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<td style={{padding: "9px 12px", fontWeight: 500, backgroundColor: "rgba(255,255,255,0.02)"}}>**Smart Router**</td>
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<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>Intelligent routing - fast local for simple tasks, powerful remote for complex tasks</td>
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</tr>
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</tbody>
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</table>
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