Add Inkling model support (#31681)

Co-authored-by: Chunan Zeng <zcnrex@gmail.com>
Co-authored-by: Ke Bao <ispobaoke@gmail.com>
Co-authored-by: Yanbin Jiang <jybsuper@gmail.com>
Co-authored-by: Yuhao Yang <47235274+yhyang201@users.noreply.github.com>
Co-authored-by: Qiaolin Yu <qiaolin.yu@radixark.ai>
Co-authored-by: Zhichen Zeng <zczeng@uw.edu>
Co-authored-by: Aurick Qiao <aurick@thinkingmachines.ai>
Co-authored-by: Joseph <jk@thinkingmachines.ai>
This commit is contained in:
Cheng Wan
2026-07-19 22:57:37 -07:00
committed by GitHub
co-authored by Chunan Zeng Ke Bao Yanbin Jiang Yuhao Yang Qiaolin Yu Zhichen Zeng Aurick Qiao Joseph
parent 829e9ce9d5
commit 02236fa38c
279 changed files with 74334 additions and 931 deletions
@@ -22,6 +22,7 @@ from sglang.srt.function_call.gigachat3_detector import GigaChat3Detector
from sglang.srt.function_call.glm4_moe_detector import Glm4MoeDetector
from sglang.srt.function_call.glm47_moe_detector import Glm47MoeDetector
from sglang.srt.function_call.gpt_oss_detector import GptOssDetector
from sglang.srt.function_call.inkling_detector import InklingDetector
from sglang.srt.function_call.json_array_parser import JsonArrayParser
from sglang.srt.function_call.kimik2_detector import KimiK2Detector
from sglang.srt.function_call.lfm2_detector import Lfm2Detector
@@ -35,6 +36,249 @@ register_cpu_ci(est_time=15, suite="base-a-test-cpu")
register_cpu_ci(est_time=61, suite="base-c-test-cpu")
class TestInklingDetector(unittest.TestCase):
def setUp(self):
self.tools = [
Tool(
type="function",
function=Function(
name="weather",
description="Lookup weather",
parameters={"type": "object"},
),
)
]
def test_canonical_header_is_not_visible_content(self):
detector = InklingDetector()
source = (
"<|message_model|>weather<|content_invoke_tool_json|>"
'{"name":"weather","args":{"city":"SF"}}<|end_message|>'
)
result = detector.detect_and_parse(source, self.tools)
self.assertEqual(result.normal_text, "")
self.assertEqual(len(result.calls), 1)
self.assertEqual(result.calls[0].name, "weather")
self.assertEqual(json.loads(result.calls[0].parameters), {"city": "SF"})
def test_streaming_header_is_buffered_until_the_tool_kind(self):
detector = InklingDetector()
chunks = [
"<|message_model|>",
"weat",
"her",
"<|content_invoke_tool_json|>",
'{"name":"weather",',
'"args":{"city":"SF"}}',
"<|end_message|>",
]
normal_text = ""
name = None
parameters = ""
for chunk in chunks:
result = detector.parse_streaming_increment(chunk, self.tools)
normal_text += result.normal_text
for call in result.calls:
name = call.name or name
parameters += call.parameters
self.assertEqual(normal_text, "")
self.assertEqual(name, "weather")
self.assertEqual(json.loads(parameters), {"city": "SF"})
def test_mismatched_header_is_rejected(self):
detector = InklingDetector()
source = (
"<|message_model|>other<|content_invoke_tool_json|>"
'{"name":"weather","args":{}}<|end_message|>'
)
result = detector.detect_and_parse(source, self.tools)
self.assertEqual(result.calls, [])
def test_rejected_call_does_not_leak_protocol_tokens(self):
"""Bug regression: the no-surviving-calls path returned the RAW text,
so a rejected call (e.g. header/payload mismatch) leaked <|...|>
protocol tokens into user-visible content."""
detector = InklingDetector()
source = (
"<|message_model|>other<|content_invoke_tool_json|>"
'{"name":"weather","args":{}}<|end_message|>'
)
result = detector.detect_and_parse(source, self.tools)
self.assertNotIn("<|", result.normal_text)
# Framework parity: the rejected tool-call REGION is dropped entirely
# (normal_text = content before the marker), like every other detector
# — the JSON payload must not surface as visible content either.
self.assertEqual(result.normal_text, "")
def test_headerless_legacy_tool_call_still_parses(self):
"""Spec tolerance: a bare <|content_invoke_tool_json|> block with no
<|message_model|>name header (the pre-canonical form) must keep
parsing in both modes."""
source = '<|content_invoke_tool_json|>{"name":"weather","args":{"city":"SF"}}<|end_message|>'
result = InklingDetector().detect_and_parse(source, self.tools)
self.assertEqual(len(result.calls), 1)
self.assertEqual(result.calls[0].name, "weather")
streaming = InklingDetector()
name = None
parameters = ""
for char in source:
for call in streaming.parse_streaming_increment(char, self.tools).calls:
name = call.name or name
parameters += call.parameters
self.assertEqual(name, "weather")
self.assertEqual(json.loads(parameters), {"city": "SF"})
def test_streaming_two_sequential_tool_calls_get_distinct_indices(self):
"""Coverage for multi-call responses: two back-to-back canonical tool
calls must stream as tool_index 0 and 1 with per-call args."""
detector = InklingDetector()
source = (
"<|message_model|>weather<|content_invoke_tool_json|>"
'{"name":"weather","args":{"city":"SF"}}<|end_message|>'
"<|message_model|>weather<|content_invoke_tool_json|>"
'{"name":"weather","args":{"city":"NY"}}<|end_message|>'
)
args_by_index: dict = {}
for char in source:
for call in detector.parse_streaming_increment(char, self.tools).calls:
args_by_index[call.tool_index] = (
args_by_index.get(call.tool_index, "") + call.parameters
)
self.assertEqual(sorted(args_by_index), [0, 1])
self.assertEqual(json.loads(args_by_index[0]), {"city": "SF"})
self.assertEqual(json.loads(args_by_index[1]), {"city": "NY"})
def test_streaming_rejection_does_not_collide_tool_indices(self):
"""Bug regression: a rejected mid-stream call reset current_tool_id to
-1, so the NEXT valid call re-announced as tool_index 0 — colliding
with the first call's index and slicing its arguments against index
0's already-streamed args."""
detector = InklingDetector()
chunks = [
"<|message_model|>weather<|content_invoke_tool_json|>",
'{"name":"weather","args":{"city":"SF"}}<|end_message|>',
# header/payload mismatch -> rejected
"<|message_model|>other<|content_invoke_tool_json|>",
'{"name":"weather","args":{"city":"NY"}}<|end_message|>',
# valid again
"<|message_model|>weather<|content_invoke_tool_json|>",
'{"name":"weather","args":{"city":"LA"}}<|end_message|>',
]
args_by_index: dict = {}
for chunk in chunks:
for call in detector.parse_streaming_increment(chunk, self.tools).calls:
args_by_index[call.tool_index] = (
args_by_index.get(call.tool_index, "") + call.parameters
)
self.assertEqual(json.loads(args_by_index[0]), {"city": "SF"})
self.assertEqual(len(args_by_index), 2)
second_index = max(args_by_index)
self.assertGreater(second_index, 0)
self.assertEqual(json.loads(args_by_index[second_index]), {"city": "LA"})
def test_undeclared_tool_name_is_surfaced(self):
"""A call to a tool absent from the request's tool list surfaces as a
structured tool_call (OpenAI behavior for hallucinated tools) so agent
harnesses can return a tool error and let the model self-correct,
instead of the serialized invocation becoming terminal answer text."""
detector = InklingDetector()
source = (
"<|message_model|>document_search<|content_invoke_tool_json|>"
'{"name":"document_search","args":{"query":"q"}}<|end_message|>'
)
result = detector.detect_and_parse(source, self.tools)
self.assertEqual(len(result.calls), 1)
self.assertEqual(result.calls[0].name, "document_search")
self.assertEqual(json.loads(result.calls[0].parameters), {"query": "q"})
self.assertNotIn("<|", result.normal_text)
def test_undeclared_tool_name_surfaces_in_streaming(self):
detector = InklingDetector()
source = (
"<|message_model|>document_search<|content_invoke_tool_json|>"
'{"name":"document_search","args":{"query":"q"}}<|end_message|>'
)
normal_text = ""
name = None
parameters = ""
for char in source:
result = detector.parse_streaming_increment(char, self.tools)
normal_text += result.normal_text
for call in result.calls:
name = call.name or name
parameters += call.parameters
self.assertEqual(name, "document_search")
self.assertEqual(json.loads(parameters), {"query": "q"})
self.assertNotIn("<|", normal_text)
def test_malformed_json_does_not_leak_protocol_tokens(self):
"""Malformed JSON must drop the protocol region and its tool header."""
detector = InklingDetector()
source = (
"<|message_model|>weather<|content_invoke_tool_json|>"
"{not json at all<|end_message|>"
)
result = detector.detect_and_parse(source, self.tools)
self.assertEqual(result.calls, [])
self.assertEqual(result.normal_text, "")
def test_parser_does_not_restore_malformed_tool_call_as_text(self):
"""The parser wrapper must preserve the detector's sanitized fallback."""
from sglang.srt.function_call.function_call_parser import FunctionCallParser
source = (
"Visible prefix."
"<|message_model|>weather<|content_invoke_tool_json|>"
"{not json at all<|end_message|>"
)
normal_text, calls = FunctionCallParser(self.tools, "inkling").parse_non_stream(
source
)
self.assertEqual(normal_text, "Visible prefix.")
self.assertEqual(calls, [])
def test_parser_preserves_text_without_tool_call_marker(self):
from sglang.srt.function_call.function_call_parser import FunctionCallParser
source = " Ordinary assistant text. "
normal_text, calls = FunctionCallParser(self.tools, "inkling").parse_non_stream(
source
)
self.assertEqual(normal_text, source)
self.assertEqual(calls, [])
def test_malformed_call_does_not_discard_an_earlier_valid_call(self):
source = (
"<|message_model|>weather<|content_invoke_tool_json|>"
'{"name":"weather","args":{"city":"SF"}}<|end_message|>'
"<|message_model|>weather<|content_invoke_tool_json|>"
"{not json at all<|end_message|>"
)
result = InklingDetector().detect_and_parse(source, self.tools)
self.assertEqual(result.normal_text, "")
self.assertEqual(len(result.calls), 1)
self.assertEqual(result.calls[0].name, "weather")
self.assertEqual(json.loads(result.calls[0].parameters), {"city": "SF"})
def test_clean_normal_text_strips_the_full_control_alphabet(self):
"""Fall-through text is cleaned against the whole shared control-token
alphabet, not a hand-picked subset."""
detector = InklingDetector()
source = (
"<|message_model|><|content_thinking|>leak<|end_message|>"
"<|message_user|>x<|content_audio_input|><|audio_end|>"
)
result = detector.detect_and_parse(source, self.tools)
self.assertNotIn("<|", result.normal_text)
def test_structural_tag_uses_the_canonical_header(self):
info = InklingDetector().structure_info()("weather")
header = "<|message_model|>weather<|content_invoke_tool_json|>"
self.assertEqual(info.trigger, header)
self.assertTrue(info.begin.startswith(header + '{"name":"weather"'))
class TestPythonicDetector(unittest.TestCase):
def setUp(self):
# Create sample tools for testing
@@ -3968,6 +4212,31 @@ class TestGetStructureConstraint(unittest.TestCase):
result = parser.get_structure_constraint("auto")
self.assertIsNone(result)
def test_inkling_auto_constrains_json_after_tool_trigger(self):
import xgrammar as xgr
from sglang.srt.parser.inkling_tokenizer import INKLING_SPECIAL_TOKEN_IDS
parser = self._make_parser("inkling", strict=False)
result = parser.get_structure_constraint("auto")
self.assertIsNotNone(result)
self.assertEqual(result[0], "structural_tag")
self.assertIsInstance(result[1], xgr.StructuralTag)
format_ = result[1].model_dump()["format"]
self.assertEqual(format_["type"], "token_triggered_tags")
self.assertEqual(
format_["trigger_tokens"],
[INKLING_SPECIAL_TOKEN_IDS["<|content_invoke_tool_json|>"]],
)
tag = format_["tags"][0]
self.assertEqual(
tag["end"]["token"], INKLING_SPECIAL_TOKEN_IDS["<|end_message|>"]
)
schema = tag["content"]["json_schema"]
self.assertEqual(schema["required"], ["name", "args"])
self.assertFalse(schema["additionalProperties"])
def test_kimi_named_tool_choice_returns_structural_tag(self):
from sglang.srt.entrypoints.openai.protocol import (
ToolChoice,