Document sampling parameters (#45)

README.md

@@ -228,15 +228,19 @@ python -m sglang.launch_server --model-path meta-llama/Llama-2-7b-chat-hf --port
 
 Send a request
 ```
-curl http://localhost:30000/v1/completions \
+curl http://localhost:30000/generate \
   -H "Content-Type: application/json" \
   -d '{
-    "prompt": "Say this is a test",
-    "max_tokens": 16,
+    "text": "Once upon a time,",
+    "parameters": {
+      "max_new_tokens": 16,
       "temperature": 0
+    }
   }'
 ```
 
+Learn more about the argument format [here](docs/sampling_params.md).
+
 ### Additional Arguments
 - Add `--tp 2` to enable tensor parallelism.
 ```

docs/sampling_params.md

+## Sampling Parameters of SGLang Runtime
+This doc describes the sampling parameters of the SGLang Runtime.
+
+The `/generate` endpoint accepts the following arguments in the JSON format.
+
+```python
+class GenerateReqInput:
+    text: Union[List[str], str]
+    image_data: Optional[Union[List[str], str]] = None
+    sampling_params: Union[List[Dict], Dict] = None
+    rid: Optional[Union[List[str], str]] = None
+    return_normalized_logprob: Optional[Union[List[bool], bool]] = None
+    normalized_logprob_start_len: Optional[Union[List[int], int]] = None
+    stream: bool = False
+```
+
+The `sampling_params` follows this format
+
+```python
+class SamplingParams:
+    def __init__(
+        self,
+        max_new_tokens: int = 16,
+        stop: Optional[Union[str, List[str]]] = None,
+        temperature: float = 1.0,
+        top_p: float = 1.0,
+        top_k: int = -1,
+        frequency_penalty: float = 0.0,
+        presence_penalty: float = 0.0,
+        ignore_eos: bool = False,
+        skip_special_tokens: bool = True,
+        dtype: Optional[str] = None,
+        regex: Optional[str] = None,
+    ) -> None:
+```
+
+## Examples
+
+### Normal
+```
+python -m sglang.launch_server --model-path meta-llama/Llama-2-7b-chat-hf --port 30000
+```
+
+```python
+import requests
+
+response = requests.post(
+    "http://localhost:30000/generate",
+    json={
+        "text": "The capital of France is",
+        "sampling_params": {
+            "temperature": 0,
+            "max_new_tokens": 32,
+        },
+    },
+)
+print(response.json())
+```
+
+### Streaming
+
+```python
+import requests, json
+
+response = requests.post(
+    "http://localhost:30000/generate",
+    json={
+        "text": "The capital of France is",
+        "sampling_params": {
+            "temperature": 0,
+            "max_new_tokens": 256,
+        },
+        "stream": True,
+    },
+    stream=True,
+)
+
+prev = 0
+for chunk in response.iter_lines(decode_unicode=False, delimiter=b"\0"):
+    if chunk:
+        data = json.loads(chunk.decode())
+        output = data["text"].strip()
+        print(output[prev:], end="", flush=True)
+        prev = len(output)
+print("")
+```