Support Batch Completion in Server (vllm-project#2529)

tests/entrypoints/test_openai_server.py

@@ -1,5 +1,6 @@
-import time
+import os
 import subprocess
+import time
 
 import sys
 import pytest
@@ -17,8 +18,11 @@
 class ServerRunner:
 
     def __init__(self, args):
+        env = os.environ.copy()
+        env["PYTHONUNBUFFERED"] = "1"
         self.proc = subprocess.Popen(
             ["python3", "-m", "vllm.entrypoints.openai.api_server"] + args,
+            env=env,
             stdout=sys.stdout,
             stderr=sys.stderr,
         )
@@ -58,7 +62,8 @@ def server():
         "--dtype",
         "bfloat16",  # use half precision for speed and memory savings in CI environment
         "--max-model-len",
-        "8192"
+        "8192",
+        "--enforce-eager",
     ])
     ray.get(server_runner.ready.remote())
     yield server_runner
@@ -199,5 +204,51 @@ async def test_chat_streaming(server, client: openai.AsyncOpenAI):
     assert "".join(chunks) == output
 
 
+async def test_batch_completions(server, client: openai.AsyncOpenAI):
+    # test simple list
+    batch = await client.completions.create(
+        model=MODEL_NAME,
+        prompt=["Hello, my name is", "Hello, my name is"],
+        max_tokens=5,
+        temperature=0.0,
+    )
+    assert len(batch.choices) == 2
+    assert batch.choices[0].text == batch.choices[1].text
+
+    # test n = 2
+    batch = await client.completions.create(
+        model=MODEL_NAME,
+        prompt=["Hello, my name is", "Hello, my name is"],
+        n=2,
+        max_tokens=5,
+        temperature=0.0,
+        extra_body=dict(
+            # NOTE: this has to be true for n > 1 in vLLM, but not necessary for official client.
+            use_beam_search=True),
+    )
+    assert len(batch.choices) == 4
+    assert batch.choices[0].text != batch.choices[
+        1].text, "beam search should be different"
+    assert batch.choices[0].text == batch.choices[
+        2].text, "two copies of the same prompt should be the same"
+    assert batch.choices[1].text == batch.choices[
+        3].text, "two copies of the same prompt should be the same"
+
+    # test streaming
+    batch = await client.completions.create(
+        model=MODEL_NAME,
+        prompt=["Hello, my name is", "Hello, my name is"],
+        max_tokens=5,
+        temperature=0.0,
+        stream=True,
+    )
+    texts = [""] * 2
+    async for chunk in batch:
+        assert len(chunk.choices) == 1
+        choice = chunk.choices[0]
+        texts[choice.index] += choice.text
+    assert texts[0] == texts[1]
+
+
 if __name__ == "__main__":
     pytest.main([__file__])