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# API
- [OpenAI ChatCompletion](#openai-chatcompletion)
- [Ollama ChatCompletion](#ollama-chatcompletion)
- [OpenAI Assistant](#openai-assistant)
## OpenAI ChatCompletion
```bash
POST /v1/chat/completions
```
根据选定的模型生成回复。
### 参数
- `messages`:一个 `message` 的数组所有的历史消息。`message`表示用户user或者模型assistant的消息。`message`包含:
- `role`: 取值`user``assistant`,代表这个 message 的创建者。
- `content`: 用户或者模型的消息。
- `model`:选定的模型名
- `stream`:取值 true 或者 false。表示是否使用流式返回。如果为 true则以 http 的 event stream 的方式返回模型推理结果。
### 响应
- 流式返回:一个 event stream每个 event 含有一个`chat.completion.chunk``chunk.choices[0].delta.content`是每次模型返回的增量输出。
- 非流式返回:还未支持。
### 例子
```bash
curl -X 'POST' \
'http://localhost:9112/v1/chat/completions' \
-H 'accept: application/json' \
-H 'Content-Type: application/json' \
-d '{
"messages": [
{
"content": "tell a joke",
"role": "user"
}
],
"model": "Meta-Llama-3-8B-Instruct",
"stream": true
}'
```
```bash
data:{"id":"c30445e8-1061-4149-a101-39b8222e79e1","object":"chat.completion.chunk","created":1720511671,"model":"not implmented","system_fingerprint":"not implmented","usage":null,"choices":[{"index":0,"delta":{"content":"Why ","role":"assistant","name":null},"logprobs":null,"finish_reason":null}]}
data:{"id":"c30445e8-1061-4149-a101-39b8222e79e1","object":"chat.completion.chunk","created":1720511671,"model":"not implmented","system_fingerprint":"not implmented","usage":null,"choices":[{"index":0,"delta":{"content":"","role":"assistant","name":null},"logprobs":null,"finish_reason":null}]}
data:{"id":"c30445e8-1061-4149-a101-39b8222e79e1","object":"chat.completion.chunk","created":1720511671,"model":"not implmented","system_fingerprint":"not implmented","usage":null,"choices":[{"index":0,"delta":{"content":"couldn't ","role":"assistant","name":null},"logprobs":null,"finish_reason":null}]}
...
data:{"id":"c30445e8-1061-4149-a101-39b8222e79e1","object":"chat.completion.chunk","created":1720511671,"model":"not implmented","system_fingerprint":"not implmented","usage":null,"choices":[{"index":0,"delta":{"content":"two-tired!","role":"assistant","name":null},"logprobs":null,"finish_reason":null}]}
event: done
data: [DONE]
```
## Ollama ChatCompletion
```bash
POST /api/generate
```
根据选定的模型生成回复。
### 参数
- `prompt`:一个字符串,代表输入的 prompt。
- `model`:选定的模型名
- `stream`:取值 true 或者 false。表示是否使用流式返回。如果为 true则以 http 的 event stream 的方式返回模型推理结果。
### 响应
- 流式返回:一个流式的 json 返回,每行是一个 json。
- `response`:模型补全的增量结果。
- `done`:是否推理结束。
- 非流式返回:还未支持。
### 例子
```bash
curl -X 'POST' \
'http://localhost:9112/api/generate' \
-H 'accept: application/json' \
-H 'Content-Type: application/json' \
-d '{
"model": "Meta-Llama-3-8B-Instruct",
"prompt": "tell me a joke",
"stream": true
}'
```
```bash
{"model":"Meta-Llama-3-8B-Instruct","created_at":"2024-07-09 08:13:11.686513","response":"I'll ","done":false}
{"model":"Meta-Llama-3-8B-Instruct","created_at":"2024-07-09 08:13:11.729214","response":"give ","done":false}
...
{"model":"Meta-Llama-3-8B-Instruct","created_at":"2024-07-09 08:13:33.955475","response":"for","done":false}
{"model":"Meta-Llama-3-8B-Instruct","created_at":"2024-07-09 08:13:33.956795","response":"","done":true}
```