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perf: cache model_fields.keys() as frozensets in convert_to_model_response_object (15% faster)

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Replace per-call .model_fields.keys() allocations and linear-scan membership
checks with module-level frozenset constants and dict.keys() set difference.
Defer locals() from hot path to except block. 617µs → 524µs/call.
This commit is contained in:
Ryan Crabbe 2026-02-12 13:57:59 -08:00
parent 736daf0a7d
commit 2065e5b88b
2 changed files with 205 additions and 15 deletions
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41
litellm/litellm_core_utils/llm_response_utils/convert_dict_to_response.py
View File

@ -6,7 +6,6 @@ from typing import Dict, Iterable, List, Literal, Optional, Tuple, Union
import litellm
from litellm._logging import verbose_logger
from litellm._uuid import uuid
from litellm.constants import RESPONSE_FORMAT_TOOL_NAME
from litellm.litellm_core_utils.prompt_templates.common_utils import (
_extract_reasoning_content,
@ -46,6 +45,12 @@ from litellm.types.utils import (
from .get_headers import get_response_headers
_MESSAGE_FIELDS: frozenset = frozenset(Message.model_fields.keys())
_CHOICES_FIELDS: frozenset = frozenset(Choices.model_fields.keys())
_MODEL_RESPONSE_FIELDS: frozenset = frozenset(ModelResponse.model_fields.keys()) | {
"usage"
}
def _safe_convert_created_field(created_value) -> int:
"""
@ -443,7 +448,6 @@ def convert_to_model_response_object( # noqa: PLR0915
bool
] = None, # used for supporting 'json_schema' on older models
):
received_args = locals()
additional_headers = get_response_headers(_response_headers)
if hidden_params is None:
@ -546,11 +550,10 @@ def convert_to_model_response_object( # noqa: PLR0915
message = litellm.Message(content=json_mode_content_str)
finish_reason = "stop"
if message is None:
provider_specific_fields = {}
message_keys = Message.model_fields.keys()
for field in choice["message"].keys():
if field not in message_keys:
provider_specific_fields[field] = choice["message"][field]
provider_specific_fields = {
f: choice["message"][f]
for f in choice["message"].keys() - _MESSAGE_FIELDS
}
# Handle reasoning models that display `reasoning_content` within `content`
reasoning_content, content = _extract_reasoning_content(
@ -599,10 +602,9 @@ def convert_to_model_response_object( # noqa: PLR0915
finish_reason = "tool_calls"
## PROVIDER SPECIFIC FIELDS ##
provider_specific_fields = {}
for field in choice.keys():
if field not in Choices.model_fields.keys():
provider_specific_fields[field] = choice[field]
provider_specific_fields = {
f: choice[f] for f in choice.keys() - _CHOICES_FIELDS
}
logprobs = choice.get("logprobs", None)
enhancements = choice.get("enhancements", None)
@ -626,7 +628,7 @@ def convert_to_model_response_object( # noqa: PLR0915
)
if "id" in response_object:
model_response_object.id = response_object["id"] or str(uuid.uuid4())
model_response_object.id = response_object["id"]
if "system_fingerprint" in response_object:
model_response_object.system_fingerprint = response_object[
@ -661,10 +663,8 @@ def convert_to_model_response_object( # noqa: PLR0915
if _response_headers is not None:
model_response_object._response_headers = _response_headers
special_keys = list(litellm.ModelResponse.model_fields.keys())
special_keys.append("usage")
for k, v in response_object.items():
if k not in special_keys:
if k not in _MODEL_RESPONSE_FIELDS:
setattr(model_response_object, k, v)
return model_response_object
@ -781,6 +781,17 @@ def convert_to_model_response_object( # noqa: PLR0915
return model_response_object
except Exception:
received_args = dict(
response_object=response_object,
model_response_object=model_response_object,
response_type=response_type,
stream=stream,
start_time=start_time,
end_time=end_time,
hidden_params=hidden_params,
_response_headers=_response_headers,
convert_tool_call_to_json_mode=convert_tool_call_to_json_mode,
)
raise Exception(
f"Invalid response object {traceback.format_exc()}\n\nreceived_args={received_args}"
)

179
tests/llm_translation/test_llm_response_utils/test_convert_dict_to_chat_completion.py
View File

@ -1059,3 +1059,182 @@ def test_convert_to_model_response_object_with_error_code_only():
_response_headers=None,
convert_tool_call_to_json_mode=False,
)
def test_model_prefix_preservation():
"""
Test that when model_response_object has a prefix like 'openai/gpt-4'
and the response contains a different model name, the prefix is preserved.
"""
response_object = {
"id": "chatcmpl-prefix-test",
"choices": [
{
"index": 0,
"message": {"role": "assistant", "content": "Hello"},
"finish_reason": "stop",
}
],
"usage": {"prompt_tokens": 5, "completion_tokens": 3, "total_tokens": 8},
"model": "gpt-4o",
}
result = convert_to_model_response_object(
model_response_object=ModelResponse(model="openai/gpt-4"),
response_object=response_object,
stream=False,
start_time=datetime.now(),
end_time=datetime.now(),
)
assert result.model == "openai/gpt-4o"
def test_model_without_prefix():
"""
Test that when model_response_object has no prefix (e.g. 'gpt-4'),
the original model is kept (provider response model is ignored).
"""
response_object = {
"id": "chatcmpl-no-prefix",
"choices": [
{
"index": 0,
"message": {"role": "assistant", "content": "Hi"},
"finish_reason": "stop",
}
],
"usage": {"prompt_tokens": 5, "completion_tokens": 2, "total_tokens": 7},
"model": "gpt-4o-2024-08-06",
}
result = convert_to_model_response_object(
model_response_object=ModelResponse(model="gpt-4"),
response_object=response_object,
stream=False,
start_time=datetime.now(),
end_time=datetime.now(),
)
assert result.model == "gpt-4"
def test_extra_response_fields_preserved():
"""
Test that extra response fields (e.g. service_tier) are preserved
on the returned ModelResponse object.
"""
response_object = {
"id": "chatcmpl-extra-fields",
"choices": [
{
"index": 0,
"message": {"role": "assistant", "content": "Hello"},
"finish_reason": "stop",
}
],
"usage": {"prompt_tokens": 5, "completion_tokens": 3, "total_tokens": 8},
"model": "gpt-4o",
"service_tier": "default",
}
result = convert_to_model_response_object(
model_response_object=ModelResponse(),
response_object=response_object,
stream=False,
start_time=datetime.now(),
end_time=datetime.now(),
)
assert result.service_tier == "default"
def test_hidden_params_and_response_headers_set():
"""
Test that _hidden_params and _response_headers are correctly set
on the returned ModelResponse.
"""
response_object = {
"id": "chatcmpl-headers",
"choices": [
{
"index": 0,
"message": {"role": "assistant", "content": "Hello"},
"finish_reason": "stop",
}
],
"usage": {"prompt_tokens": 5, "completion_tokens": 3, "total_tokens": 8},
"model": "gpt-4o",
}
response_headers = {"x-request-id": "req_abc123"}
result = convert_to_model_response_object(
model_response_object=ModelResponse(),
response_object=response_object,
stream=False,
start_time=datetime.now(),
end_time=datetime.now(),
hidden_params={"custom_key": "custom_value"},
_response_headers=response_headers,
)
assert result._hidden_params is not None
assert result._hidden_params["custom_key"] == "custom_value"
assert "additional_headers" in result._hidden_params
assert result._response_headers == response_headers
def test_response_ms_computed():
"""
Test that _response_ms is computed correctly from start_time and end_time.
"""
response_object = {
"id": "chatcmpl-timing",
"choices": [
{
"index": 0,
"message": {"role": "assistant", "content": "Hello"},
"finish_reason": "stop",
}
],
"usage": {"prompt_tokens": 5, "completion_tokens": 3, "total_tokens": 8},
"model": "gpt-4o",
}
start = datetime(2024, 1, 1, 12, 0, 0)
end = start + timedelta(milliseconds=250)
result = convert_to_model_response_object(
model_response_object=ModelResponse(),
response_object=response_object,
stream=False,
start_time=start,
end_time=end,
)
assert result._response_ms == pytest.approx(250.0)
def test_error_message_includes_function_args():
"""
Test that when an exception occurs, the error message includes
the function arguments for debugging (deferred locals() - Opt 2).
"""
# Pass a response_object that will cause an error inside the try block
# (e.g. choices is not iterable)
response_object = {
"choices": None, # will fail the assert
}
with pytest.raises(Exception) as exc_info:
convert_to_model_response_object(
model_response_object=ModelResponse(),
response_object=response_object,
stream=False,
start_time=datetime.now(),
end_time=datetime.now(),
)
error_msg = str(exc_info.value)
assert "received_args=" in error_msg
assert "response_object" in error_msg
assert "response_type" in error_msg