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import json
import httpx
import pytest
from jev_adapter.backend import AdapterError
from jev_adapter.sglang import SGLangBackend
class Engine:
def __init__(self):
self.calls = []
self.info = {
"served_model_name": "qwen",
"model_path": "org/qwen",
"is_generation": True,
"has_image_understanding": True,
"model_type": "qwen3_5",
"architectures": ["Qwen3_5ForConditionalGeneration"],
}
self.config = {"speculative_algorithm": None, "skip_tokenizer_init": False}
self.mutate_result = lambda result: result
self.invalid_boundary = False
self.lossy_roundtrip = False
self.special_label = None
self.fail_path = None
self.failure = None
@staticmethod
def encode(text):
return [ord(char) + 1000 for char in text]
@staticmethod
def decode(tokens):
return "".join(chr(token - 1000) for token in tokens)
def __call__(self, request):
path = request.url.path
body = json.loads(request.content) if request.content else None
self.calls.append((path, body, request))
if path == self.fail_path:
if isinstance(self.failure, Exception):
raise self.failure
return self.failure
if path == "/model_info":
return httpx.Response(200, json=self.info)
if path == "/server_info":
return httpx.Response(200, json=self.config)
if path == "/v1/tokenize":
if "messages" in body:
content = body["messages"][0]["content"]
if isinstance(content, list):
content = "<image>" * (len(content) - 1) + content[-1]["text"]
tokens = self.encode("<user>" + content + "</user><assistant>")
else:
assert body["add_special_tokens"] is False
tokens = [self.encode(text) for text in body["prompt"]]
if body["prompt"][0].startswith("<user>"):
if self.invalid_boundary:
tokens[-1][-1] += 1
if self.lossy_roundtrip:
tokens[0][-1] += 1
return httpx.Response(200, json={"tokens": tokens})
if path == "/v1/detokenize":
tokens = body["tokens"]
if isinstance(tokens[0], list):
assert body["skip_special_tokens"] is True
text = [self.decode(ids) for ids in tokens]
text = ["" if value == self.special_label else value for value in text]
else:
assert body["skip_special_tokens"] is False
text = self.decode(tokens)
return httpx.Response(200, json={"text": text})
if path == "/generate":
result = {
"text": "",
"meta_info": {
"completion_tokens": 0,
"prompt_tokens": 71,
# Return labels out of order to ensure alignment by token ID.
"output_token_ids_logprobs": [
[
[-index - 0.5, token, None]
for index, token in reversed(
list(enumerate(body["token_ids_logprob"]))
)
]
],
},
}
return httpx.Response(200, json=self.mutate_result(result))
raise AssertionError(f"Unexpected route: {path}")
async def make_backend(engine=None, **kwargs):
engine = engine or Engine()
client = httpx.AsyncClient(transport=httpx.MockTransport(engine))
backend = SGLangBackend("http://engine", "qwen", client=client, **kwargs)
await backend.start()
return backend, engine, client
@pytest.mark.asyncio
async def test_public_http_contract_and_zero_decode():
backend, engine, client = await make_backend(api_key="private-key")
try:
labels, tokens = backend.labels(3)
result = await backend.evaluate("pick an answer", [], labels, tokens, None)
assert result.logprobs == (-0.5, -1.5, -2.5)
assert result.input_tokens == 71
path, body, _ = engine.calls[-1]
assert path == "/generate"
assert "text" not in body and "image_data" not in body
assert body["input_ids"] == engine.encode(
"<user>pick an answer</user><assistant>"
)
assert body["sampling_params"] == {
"max_new_tokens": 0,
"temperature": 1,
"top_p": 1,
"top_k": -1,
}
assert body["token_ids_logprob"] == list(tokens)
assert body["logprob_start_len"] == -1
assert body["return_logprob"] is True
assert body["top_logprobs_num"] == 0
assert body["return_text_in_logprobs"] is False
assert body["stream"] is False
assert body["rid"].startswith("jev-")
assert all(
request.headers["Authorization"] == "Bearer private-key"
for _, _, request in engine.calls
)
assert engine.calls[-4][1]["chat_template_kwargs"] == {"enable_thinking": False}
finally:
await client.aclose()
def test_prompt_wording_rejects_unknown_value():
with pytest.raises(ValueError):
SGLangBackend("http://engine", "qwen", prompt_wording="bogus")
@pytest.mark.asyncio
async def test_native_wording_prepends_system_message_over_http():
backend, engine, client = await make_backend(
prompt_wording="native", native_system_prompt="Default system text."
)
try:
labels, tokens = backend.labels(3)
await backend.evaluate("pick an answer", [], labels, tokens, None)
# The messages-based /v1/tokenize call, three calls before /generate
# (detokenize, boundary-check tokenize, generate follow it).
path, body, _ = engine.calls[-4]
assert path == "/v1/tokenize"
assert body["messages"] == [
{"role": "system", "content": "Default system text."},
{"role": "user", "content": "pick an answer"},
]
finally:
await client.aclose()
@pytest.mark.asyncio
async def test_served_wording_never_sends_a_system_message_even_if_configured():
# native_system_prompt is only honored when prompt_wording == "native";
# the default ("served") must stay byte-identical to today's behaviour.
backend, engine, client = await make_backend(
prompt_wording="served", native_system_prompt="Should be ignored."
)
try:
labels, tokens = backend.labels(2)
await backend.evaluate("look", [], labels, tokens, None)
path, body, _ = engine.calls[-4]
assert path == "/v1/tokenize"
assert body["messages"] == [{"role": "user", "content": "look"}]
finally:
await client.aclose()
@pytest.mark.asyncio
async def test_native_wording_passes_system_prompt_to_native_tokenizer():
class RecordingNativeTokenizer:
def __init__(self):
self.calls = []
def prepare(self, prompt, labels, token_ids, assistant_prefix, system_prompt=None):
self.calls.append((prompt, labels, token_ids, assistant_prefix, system_prompt))
return [1, 2, 3]
native_tokenizer = RecordingNativeTokenizer()
engine = Engine()
client = httpx.AsyncClient(transport=httpx.MockTransport(engine))
backend = SGLangBackend(
"http://engine",
"qwen",
client=client,
native_tokenizer=native_tokenizer,
prompt_wording="native",
native_system_prompt="Default system text.",
)
try:
await backend.start()
labels, tokens = backend.labels(2)
await backend.evaluate("pick", [], labels, tokens, "Answer:")
assert native_tokenizer.calls == [
("pick", labels, tokens, "Answer:", "Default system text.")
]
finally:
await client.aclose()
@pytest.mark.asyncio
async def test_images_remain_in_native_request_with_template_and_prefix():
backend, engine, client = await make_backend()
try:
images = ["data:image/png;base64,YQ==", "https://example.com/image.png"]
labels, tokens = backend.labels(2)
await backend.evaluate("look", images, labels, tokens, "Answer: ")
body = engine.calls[-1][1]
assert body["image_data"] == images
assert body["text"] == "<user><image><image>look</user><assistant>Answer: "
assert "input_ids" not in body
content = engine.calls[-4][1]["messages"][0]["content"]
assert content == [
{"type": "image_url", "image_url": {"url": images[0]}},
{"type": "image_url", "image_url": {"url": images[1]}},
{"type": "text", "text": "look"},
]
finally:
await client.aclose()
@pytest.mark.asyncio
@pytest.mark.parametrize(
"model_type,architectures",
[
("mage_vl", []),
("unknown", ["MageVLForConditionalGeneration"]),
],
)
async def test_mage_vl_image_capability_and_message_format(model_type, architectures):
engine = Engine()
engine.info.update(model_type=model_type, architectures=architectures)
backend, engine, client = await make_backend(engine)
try:
image = "data:image/png;base64,YQ=="
labels, tokens = backend.labels(2)
await backend.evaluate("describe", [image], labels, tokens, None)
assert engine.calls[-4][1]["messages"] == [
{
"role": "user",
"content": [
{"type": "image_url", "image_url": {"url": image}},
{"type": "text", "text": "describe"},
],
}
]
assert engine.calls[-1][1]["image_data"] == [image]
finally:
await client.aclose()
@pytest.mark.asyncio
@pytest.mark.parametrize(
"field,value,code",
[
("has_image_understanding", False, "images_not_supported"),
("model_type", "kimi_k3", "image_model_not_supported"),
],
)
async def test_image_capability_rejections(field, value, code):
engine = Engine()
engine.info[field] = value
engine.info["architectures"] = []
backend, engine, client = await make_backend(engine)
try:
labels, tokens = backend.labels(2)
with pytest.raises(AdapterError, match="image|Image") as error:
await backend.evaluate(
"look", ["https://example.com/a.png"], labels, tokens, None
)
assert error.value.code == code
assert not any(path == "/generate" for path, _, _ in engine.calls)
finally:
await client.aclose()
@pytest.mark.asyncio
@pytest.mark.parametrize(
"flag,code",
[
("invalid_boundary", "invalid_label_boundary"),
("lossy_roundtrip", "unsupported_tokenizer_roundtrip"),
],
)
async def test_rejects_unsafe_tokenization_before_inference(flag, code):
backend, engine, client = await make_backend()
try:
setattr(engine, flag, True)
labels, tokens = backend.labels(2)
with pytest.raises(AdapterError) as error:
await backend.evaluate("look", [], labels, tokens, None)
assert error.value.code == code
assert not any(path == "/generate" for path, _, _ in engine.calls)
finally:
await client.aclose()
@pytest.mark.asyncio
@pytest.mark.parametrize(
"mutation",
[
"decoded",
"missing_label",
"duplicate_label",
"nan",
"positive",
"missing_usage",
"bad_usage",
"empty_positions",
"multiple_positions",
],
)
async def test_rejects_unusable_engine_results(mutation):
backend, engine, client = await make_backend()
def mutate(original):
result = copy.deepcopy(original)
meta = result["meta_info"]
entries = meta["output_token_ids_logprobs"][0]
if mutation == "decoded":
meta["completion_tokens"] = 1
elif mutation == "missing_label":
entries.pop()
elif mutation == "duplicate_label":
entries.append(entries[0])
elif mutation == "nan":
# JSON null is also rejected; transport JSON forbids NaN values.
entries[0][0] = None
elif mutation == "positive":
entries[0][0] = 1.0
elif mutation == "missing_usage":
del meta["completion_tokens"]
elif mutation == "bad_usage":
meta["prompt_tokens"] = True
elif mutation == "empty_positions":
meta["output_token_ids_logprobs"] = []
elif mutation == "multiple_positions":
meta["output_token_ids_logprobs"].append(entries)
return result
engine.mutate_result = mutate
try:
labels, tokens = backend.labels(2)
with pytest.raises(AdapterError) as error:
await backend.evaluate("look", [], labels, tokens, None)
assert error.value.status == 502
assert error.value.code == "invalid_engine_response"
finally:
await client.aclose()
@pytest.mark.asyncio
@pytest.mark.parametrize(
"failure,status,code",
[
(httpx.ReadTimeout("secret upstream location"), 504, "engine_timeout"),
(httpx.ConnectError("secret upstream location"), 502, "engine_unavailable"),
(httpx.Response(401, text="secret-key"), 502, "engine_http_error"),
(httpx.Response(422, text="sensitive prompt"), 422, "engine_rejected_request"),
(httpx.Response(200, text="not-json secret"), 502, "invalid_engine_response"),
],
)
async def test_transport_failures_are_sanitized(failure, status, code):
backend, engine, client = await make_backend()
engine.fail_path, engine.failure = "/generate", failure
try:
labels, tokens = backend.labels(2)
with pytest.raises(AdapterError) as error:
await backend.evaluate("look", [], labels, tokens, None)
assert error.value.status == status
assert error.value.code == code
assert "secret" not in str(error.value) and "sensitive" not in str(error.value)
finally:
await client.aclose()
@pytest.mark.asyncio
async def test_special_labels_removed_and_start_idempotent():
engine = Engine()
engine.special_label = "A"
backend, engine, client = await make_backend(engine)
try:
labels, _ = backend.labels(2)
assert labels == ("B", "C")
count = len(engine.calls)
await backend.start()
assert len(engine.calls) == count
with pytest.raises(AdapterError):
backend.labels(255)
finally:
await client.aclose()
@pytest.mark.asyncio
@pytest.mark.parametrize(
"config,code",
[
({"speculative_algorithm": "EAGLE"}, "speculation_not_supported"),
({"skip_tokenizer_init": True}, "tokenizer_unavailable"),
],
)
async def test_startup_validates_engine_configuration(config, code):
engine = Engine()
engine.config.update(config)
async with httpx.AsyncClient(transport=httpx.MockTransport(engine)) as client:
backend = SGLangBackend("http://engine", "qwen", client=client)
with pytest.raises(AdapterError) as error:
await backend.start()
assert error.value.code == code
@pytest.mark.asyncio
async def test_nonfinite_raw_json_logprob_rejected():
backend, engine, client = await make_backend()
engine.fail_path = "/generate"
engine.failure = httpx.Response(
200,
text='{"meta_info":{"completion_tokens":0,"prompt_tokens":1,"output_token_ids_logprobs":[[[NaN,1065],[-1.0,1066]]]}}',
)
try:
labels, tokens = backend.labels(2)
with pytest.raises(AdapterError) as error:
await backend.evaluate("look", [], labels, tokens, None)
assert error.value.code == "invalid_engine_response"
finally:
await client.aclose()
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