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Checklist
- 1. I have searched related issues but cannot get the expected help.
- 2. The bug has not been fixed in the latest version.
- 3. Please note that if the bug-related issue you submitted lacks corresponding environment info and a minimal reproducible demo, it will be challenging for us to reproduce and resolve the issue, reducing the likelihood of receiving feedback.
- 4. If the issue you raised is not a bug but a question, please raise a discussion at https://github.com/sgl-project/sglang/discussions/new/choose Otherwise, it will be closed.
- 5. Please use English, otherwise it will be closed.
Describe the bug
If the batch only contains a single request, then a TypeError
is raised. One possible workaround is to duplicate the single request, run the job, and then remove the duplicate response.
Reproduction
import json
import time
from openai import OpenAI
port=30000
print_highlight=print
client = OpenAI(base_url=f"http://127.0.0.1:{port}/v1", api_key="None")
requests = [
{
"custom_id": "request-1",
"method": "POST",
"url": "/chat/completions",
"body": {
"model": "qwen/qwen2.5-0.5b-instruct",
"messages": [
{"role": "user", "content": "Tell me a joke about programming"}
],
"max_tokens": 50,
},
},
# {
# "custom_id": "request-2",
# "method": "POST",
# "url": "/chat/completions",
# "body": {
# "model": "qwen/qwen2.5-0.5b-instruct",
# "messages": [{"role": "user", "content": "What is Python?"}],
# "max_tokens": 50,
# },
# },
]
input_file_path = "batch_requests.jsonl"
with open(input_file_path, "w") as f:
for req in requests:
f.write(json.dumps(req) + "\n")
with open(input_file_path, "rb") as f:
file_response = client.files.create(file=f, purpose="batch")
batch_response = client.batches.create(
input_file_id=file_response.id,
endpoint="/v1/chat/completions",
completion_window="24h",
)
print_highlight(f"Batch job created with ID: {batch_response.id}")
while batch_response.status not in ["completed", "failed", "cancelled"]:
time.sleep(3)
print(f"Batch job status: {batch_response.status}...trying again in 3 seconds...")
batch_response = client.batches.retrieve(batch_response.id)
if batch_response.status == "completed":
print("Batch job completed successfully!")
print(f"Request counts: {batch_response.request_counts}")
result_file_id = batch_response.output_file_id
file_response = client.files.content(result_file_id)
result_content = file_response.read().decode("utf-8")
results = [
json.loads(line) for line in result_content.split("\n") if line.strip() != ""
]
for result in results:
print_highlight(f"Request {result['custom_id']}:")
print_highlight(f"Response: {result['response']}")
print_highlight("Cleaning up files...")
# Only delete the result file ID since file_response is just content
client.files.delete(result_file_id)
else:
print_highlight(f"Batch job failed with status: {batch_response.status}")
if hasattr(batch_response, "errors"):
print_highlight(f"Errors: {batch_response.errors}")
Environment
Python: 3.10.10 (main, Mar 21 2023, 18:45:11) [GCC 11.2.0]
CUDA available: True
GPU 0,1,2,3,4,5,6,7: NVIDIA L40S
GPU 0,1,2,3,4,5,6,7 Compute Capability: 8.9
CUDA_HOME: /usr/local/cuda
NVCC: Cuda compilation tools, release 12.1, V12.1.105
CUDA Driver Version: 535.247.01
PyTorch: 2.6.0+cu124
sglang: 0.4.6.post3
sgl_kernel: 0.1.1
flashinfer_python: 0.2.5
triton: 3.2.0
transformers: 4.51.1
torchao: 0.11.0
numpy: 1.26.4
aiohttp: 3.11.18
fastapi: 0.115.12
hf_transfer: 0.1.9
huggingface_hub: 0.31.1
interegular: 0.3.3
modelscope: 1.25.0
orjson: 3.10.18
outlines: 0.1.11
packaging: 25.0
psutil: 7.0.0
pydantic: 2.11.4
python-multipart: 0.0.20
pyzmq: 26.4.0
uvicorn: 0.34.2
uvloop: 0.21.0
vllm: 0.8.4
xgrammar: 0.1.19
openai: 1.75.0
tiktoken: 0.9.0
anthropic: 0.51.0
litellm: 1.69.0
decord: 0.6.0
NVIDIA Topology:
GPU0 GPU1 GPU2 GPU3 GPU4 GPU5 GPU6 GPU7 CPU Affinity NUMA Affinity GPU NUMA ID
GPU0 X NODE NODE NODE SYS SYS SYS SYS 0-47,96-143 0 N/A
GPU1 NODE X NODE NODE SYS SYS SYS SYS 0-47,96-143 0 N/A
GPU2 NODE NODE X NODE SYS SYS SYS SYS 0-47,96-143 0 N/A
GPU3 NODE NODE NODE X SYS SYS SYS SYS 0-47,96-143 0 N/A
GPU4 SYS SYS SYS SYS X NODE NODE NODE 48-95,144-191 1 N/A
GPU5 SYS SYS SYS SYS NODE X NODE NODE 48-95,144-191 1 N/A
GPU6 SYS SYS SYS SYS NODE NODE X NODE 48-95,144-191 1 N/A
GPU7 SYS SYS SYS SYS NODE NODE NODE X 48-95,144-191 1 N/A
Legend:
X = Self
SYS = Connection traversing PCIe as well as the SMP interconnect between NUMA nodes (e.g., QPI/UPI)
NODE = Connection traversing PCIe as well as the interconnect between PCIe Host Bridges within a NUMA node
PHB = Connection traversing PCIe as well as a PCIe Host Bridge (typically the CPU)
PXB = Connection traversing multiple PCIe bridges (without traversing the PCIe Host Bridge)
PIX = Connection traversing at most a single PCIe bridge
NV# = Connection traversing a bonded set of # NVLinks
Hypervisor vendor: KVM
ulimit soft: 65536
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