core[patch]: add response kwarg to on_llm_error

# Dependencies
None

# Twitter handle
@HKydlicek

---------

Co-authored-by: Erick Friis <erick@langchain.dev>
This commit is contained in:
Hynek Kydlíček
2023-12-05 00:04:48 +01:00
committed by GitHub
parent 1750cc464d
commit aa8ae31e5b
9 changed files with 172 additions and 25 deletions

View File

@@ -14,6 +14,7 @@ class BaseFakeCallbackHandler(BaseModel):
starts: int = 0
ends: int = 0
errors: int = 0
errors_args: List[Any] = []
text: int = 0
ignore_llm_: bool = False
ignore_chain_: bool = False
@@ -52,8 +53,9 @@ class BaseFakeCallbackHandlerMixin(BaseFakeCallbackHandler):
self.llm_ends += 1
self.ends += 1
def on_llm_error_common(self) -> None:
def on_llm_error_common(self, *args: Any, **kwargs: Any) -> None:
self.errors += 1
self.errors_args.append({"args": args, "kwargs": kwargs})
def on_llm_new_token_common(self) -> None:
self.llm_streams += 1
@@ -160,7 +162,7 @@ class FakeCallbackHandler(BaseCallbackHandler, BaseFakeCallbackHandlerMixin):
*args: Any,
**kwargs: Any,
) -> Any:
self.on_llm_error_common()
self.on_llm_error_common(*args, **kwargs)
def on_retry(
self,
@@ -322,7 +324,7 @@ class FakeAsyncCallbackHandler(AsyncCallbackHandler, BaseFakeCallbackHandlerMixi
*args: Any,
**kwargs: Any,
) -> None:
self.on_llm_error_common()
self.on_llm_error_common(*args, **kwargs)
async def on_chain_start(
self,

View File

@@ -45,6 +45,7 @@ class FakeListChatModel(SimpleChatModel):
responses: List
sleep: Optional[float] = None
i: int = 0
error_on_chunk_number: Optional[int] = None
@property
def _llm_type(self) -> str:
@@ -77,9 +78,15 @@ class FakeListChatModel(SimpleChatModel):
self.i += 1
else:
self.i = 0
for c in response:
for i_c, c in enumerate(response):
if self.sleep is not None:
time.sleep(self.sleep)
if (
self.error_on_chunk_number is not None
and i_c == self.error_on_chunk_number
):
raise Exception("Fake error")
yield ChatGenerationChunk(message=AIMessageChunk(content=c))
async def _astream(
@@ -94,9 +101,14 @@ class FakeListChatModel(SimpleChatModel):
self.i += 1
else:
self.i = 0
for c in response:
for i_c, c in enumerate(response):
if self.sleep is not None:
await asyncio.sleep(self.sleep)
if (
self.error_on_chunk_number is not None
and i_c == self.error_on_chunk_number
):
raise Exception("Fake error")
yield ChatGenerationChunk(message=AIMessageChunk(content=c))
@property

View File

@@ -60,6 +60,8 @@ class FakeListLLM(LLM):
class FakeStreamingListLLM(FakeListLLM):
"""Fake streaming list LLM for testing purposes."""
error_on_chunk_number: Optional[int] = None
def stream(
self,
input: LanguageModelInput,
@@ -69,9 +71,15 @@ class FakeStreamingListLLM(FakeListLLM):
**kwargs: Any,
) -> Iterator[str]:
result = self.invoke(input, config)
for c in result:
for i_c, c in enumerate(result):
if self.sleep is not None:
time.sleep(self.sleep)
if (
self.error_on_chunk_number is not None
and i_c == self.error_on_chunk_number
):
raise Exception("Fake error")
yield c
async def astream(
@@ -83,7 +91,13 @@ class FakeStreamingListLLM(FakeListLLM):
**kwargs: Any,
) -> AsyncIterator[str]:
result = await self.ainvoke(input, config)
for c in result:
for i_c, c in enumerate(result):
if self.sleep is not None:
await asyncio.sleep(self.sleep)
if (
self.error_on_chunk_number is not None
and i_c == self.error_on_chunk_number
):
raise Exception("Fake error")
yield c

View File

@@ -1,8 +1,15 @@
"""Test base chat model."""
import pytest
from langchain_core.messages import HumanMessage, SystemMessage
from langchain_core.outputs.llm_result import LLMResult
from langchain_core.tracers.context import collect_runs
from tests.unit_tests.fake.callbacks import (
BaseFakeCallbackHandler,
FakeAsyncCallbackHandler,
FakeCallbackHandler,
)
from tests.unit_tests.fake.chat_model import FakeListChatModel
@@ -69,3 +76,33 @@ async def test_async_batch_size(messages: list, messages_2: list) -> None:
pass
assert len(cb.traced_runs) == 1
assert (cb.traced_runs[0].extra or {}).get("batch_size") == 1
async def test_stream_error_callback() -> None:
message = "test"
def eval_response(callback: BaseFakeCallbackHandler, i: int) -> None:
assert callback.errors == 1
assert len(callback.errors_args) == 1
llm_result: LLMResult = callback.errors_args[0]["kwargs"]["response"]
if i == 0:
assert llm_result.generations == []
else:
assert llm_result.generations[0][0].text == message[:i]
for i in range(0, 2):
llm = FakeListChatModel(
responses=[message],
error_on_chunk_number=i,
)
with pytest.raises(Exception):
cb_async = FakeAsyncCallbackHandler()
async for _ in llm.astream("Dummy message", callbacks=[cb_async]):
pass
eval_response(cb_async, i)
cb_sync = FakeCallbackHandler()
for _ in llm.stream("Dumy message", callbacks=[cb_sync]):
pass
eval_response(cb_sync, i)

View File

@@ -1,5 +1,13 @@
import pytest
from langchain_core.outputs.llm_result import LLMResult
from langchain_core.tracers.context import collect_runs
from tests.unit_tests.fake.llm import FakeListLLM
from tests.unit_tests.fake.callbacks import (
BaseFakeCallbackHandler,
FakeAsyncCallbackHandler,
FakeCallbackHandler,
)
from tests.unit_tests.fake.llm import FakeListLLM, FakeStreamingListLLM
def test_batch() -> None:
@@ -75,3 +83,33 @@ async def test_async_batch_size() -> None:
pass
assert len(cb.traced_runs) == 1
assert (cb.traced_runs[0].extra or {}).get("batch_size") == 1
async def test_stream_error_callback() -> None:
message = "test"
def eval_response(callback: BaseFakeCallbackHandler, i: int) -> None:
assert callback.errors == 1
assert len(callback.errors_args) == 1
llm_result: LLMResult = callback.errors_args[0]["kwargs"]["response"]
if i == 0:
assert llm_result.generations == []
else:
assert llm_result.generations[0][0].text == message[:i]
for i in range(0, 2):
llm = FakeStreamingListLLM(
responses=[message],
error_on_chunk_number=i,
)
with pytest.raises(Exception):
cb_async = FakeAsyncCallbackHandler()
async for _ in llm.astream("Dummy message", callbacks=[cb_async]):
pass
eval_response(cb_async, i)
cb_sync = FakeCallbackHandler()
for _ in llm.stream("Dumy message", callbacks=[cb_sync]):
pass
eval_response(cb_sync, i)