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openai[patch]: image token counting (#23147)

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Resolves #23000

---------

Co-authored-by: isaac hershenson <ihershenson@hmc.edu>
Co-authored-by: ccurme <chester.curme@gmail.com>
This commit is contained in:
Bagatur 2024-06-19 10:41:47 -07:00 committed by GitHub
parent b3e53ffca0
commit 0a4ee864e9
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GPG Key ID: B5690EEEBB952194
6 changed files with 487 additions and 101 deletions
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106
libs/partners/openai/langchain_openai/chat_models/base.py
View File

@ -2,10 +2,13 @@
from __future__ import annotations from __future__ import annotations
import base64
import json import json
import logging import logging
import os import os
import sys import sys
from io import BytesIO
from math import ceil
from operator import itemgetter from operator import itemgetter
from typing import ( from typing import (
Any, Any,
@ -26,6 +29,7 @@ from typing import (
cast, cast,
overload, overload,
) )
from urllib.parse import urlparse
import openai import openai
import tiktoken import tiktoken
@ -736,7 +740,13 @@ class BaseChatOpenAI(BaseChatModel):
def get_num_tokens_from_messages(self, messages: List[BaseMessage]) -> int: def get_num_tokens_from_messages(self, messages: List[BaseMessage]) -> int:
"""Calculate num tokens for gpt-3.5-turbo and gpt-4 with tiktoken package. """Calculate num tokens for gpt-3.5-turbo and gpt-4 with tiktoken package.
Official documentation: https://github.com/openai/openai-cookbook/blob/ **Requirements**: You must have the ``pillow`` installed if you want to count
image tokens if you are specifying the image as a base64 string, and you must
have both ``pillow`` and ``httpx`` installed if you are specifying the image
as a URL. If these aren't installed image inputs will be ignored in token
counting.
OpenAI reference: https://github.com/openai/openai-cookbook/blob/
main/examples/How_to_format_inputs_to_ChatGPT_models.ipynb""" main/examples/How_to_format_inputs_to_ChatGPT_models.ipynb"""
if sys.version_info[1] <= 7: if sys.version_info[1] <= 7:
return super().get_num_tokens_from_messages(messages) return super().get_num_tokens_from_messages(messages)
@ -753,7 +763,7 @@ class BaseChatOpenAI(BaseChatModel):
raise NotImplementedError( raise NotImplementedError(
f"get_num_tokens_from_messages() is not presently implemented " f"get_num_tokens_from_messages() is not presently implemented "
f"for model {model}. See " f"for model {model}. See "
"https://platform.openai.com/docs/guides/text-generation/managing-tokens" "https://platform.openai.com/docs/guides/text-generation/managing-tokens" # noqa: E501
" for information on how messages are converted to tokens." " for information on how messages are converted to tokens."
) )
num_tokens = 0 num_tokens = 0
@ -761,9 +771,27 @@ class BaseChatOpenAI(BaseChatModel):
for message in messages_dict: for message in messages_dict:
num_tokens += tokens_per_message num_tokens += tokens_per_message
for key, value in message.items(): for key, value in message.items():
if isinstance(value, list):
for val in value:
if isinstance(val, str) or val["type"] == "text":
text = val["text"] if isinstance(val, dict) else val
num_tokens += len(encoding.encode(text))
elif val["type"] == "image_url":
if val["image_url"].get("detail") == "low":
num_tokens += 85
else:
image_size = _url_to_size(val["image_url"]["url"])
if not image_size:
continue
num_tokens += _count_image_tokens(*image_size)
else:
raise ValueError(
f"Unrecognized content block type\n\n{val}"
)
else:
# Cast str(value) in case the message value is not a string # Cast str(value) in case the message value is not a string
# This occurs with function messages # This occurs with function messages
num_tokens += len(encoding.encode(str(value))) num_tokens += len(encoding.encode(value))
if key == "name": if key == "name":
num_tokens += tokens_per_name num_tokens += tokens_per_name
# every reply is primed with <im_start>assistant # every reply is primed with <im_start>assistant
@ -1541,3 +1569,75 @@ def _lc_invalid_tool_call_to_openai_tool_call(
"arguments": invalid_tool_call["args"], "arguments": invalid_tool_call["args"],
}, },
} }
def _url_to_size(image_source: str) -> Optional[Tuple[int, int]]:
try:
from PIL import Image # type: ignore[import]
except ImportError:
logger.info(
"Unable to count image tokens. To count image tokens please install "
"`pip install -U pillow httpx`."
)
return None
if _is_url(image_source):
try:
import httpx
except ImportError:
logger.info(
"Unable to count image tokens. To count image tokens please install "
"`pip install -U httpx`."
)
return None
response = httpx.get(image_source)
response.raise_for_status()
width, height = Image.open(BytesIO(response.content)).size
return width, height
elif _is_b64(image_source):
_, encoded = image_source.split(",", 1)
data = base64.b64decode(encoded)
width, height = Image.open(BytesIO(data)).size
return width, height
else:
return None
def _count_image_tokens(width: int, height: int) -> int:
# Reference: https://platform.openai.com/docs/guides/vision/calculating-costs
width, height = _resize(width, height)
h = ceil(height / 512)
w = ceil(width / 512)
return (170 * h * w) + 85
def _is_url(s: str) -> bool:
try:
result = urlparse(s)
return all([result.scheme, result.netloc])
except Exception as e:
logger.debug(f"Unable to parse URL: {e}")
return False
def _is_b64(s: str) -> bool:
return s.startswith("data:image")
def _resize(width: int, height: int) -> Tuple[int, int]:
# larger side must be <= 2048
if width > 2048 or height > 2048:
if width > height:
height = (height * 2048) // width
width = 2048
else:
width = (width * 2048) // height
height = 2048
# smaller side must be <= 768
if width > 768 and height > 768:
if width > height:
width = (width * 768) // height
height = 768
else:
height = (width * 768) // height
width = 768
return width, height

270
libs/partners/openai/poetry.lock generated
View File

@ -1,4 +1,4 @@
# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand. # This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand.
[[package]] [[package]]
name = "annotated-types" name = "annotated-types"
@ -385,7 +385,7 @@ files = [
[[package]] [[package]]
name = "langchain-core" name = "langchain-core"
version = "0.2.5" version = "0.2.9"
description = "Building applications with LLMs through composability" description = "Building applications with LLMs through composability"
optional = false optional = false
python-versions = ">=3.8.1,<4.0" python-versions = ">=3.8.1,<4.0"
@ -396,9 +396,12 @@ develop = true
jsonpatch = "^1.33" jsonpatch = "^1.33"
langsmith = "^0.1.75" langsmith = "^0.1.75"
packaging = ">=23.2,<25" packaging = ">=23.2,<25"
pydantic = ">=1,<3" pydantic = [
{version = ">=1,<3", markers = "python_full_version < \"3.12.4\""},
{version = ">=2.7.4,<3.0.0", markers = "python_full_version >= \"3.12.4\""},
]
PyYAML = ">=5.3" PyYAML = ">=5.3"
tenacity = "^8.1.0" tenacity = "^8.1.0,!=8.4.0"
[package.source] [package.source]
type = "directory" type = "directory"
@ -406,7 +409,7 @@ url = "../../core"
[[package]] [[package]]
name = "langchain-standard-tests" name = "langchain-standard-tests"
version = "0.1.0" version = "0.1.1"
description = "Standard tests for LangChain implementations" description = "Standard tests for LangChain implementations"
optional = false optional = false
python-versions = ">=3.8.1,<4.0" python-versions = ">=3.8.1,<4.0"
@ -414,6 +417,7 @@ files = []
develop = true develop = true
[package.dependencies] [package.dependencies]
httpx = "^0.27.0"
langchain-core = ">=0.1.40,<0.3" langchain-core = ">=0.1.40,<0.3"
pytest = ">=7,<9" pytest = ">=7,<9"
@ -669,6 +673,92 @@ files = [
{file = "packaging-23.2.tar.gz", hash = "sha256:048fb0e9405036518eaaf48a55953c750c11e1a1b68e0dd1a9d62ed0c092cfc5"}, {file = "packaging-23.2.tar.gz", hash = "sha256:048fb0e9405036518eaaf48a55953c750c11e1a1b68e0dd1a9d62ed0c092cfc5"},
] ]
[[package]]
name = "pillow"
version = "10.3.0"
description = "Python Imaging Library (Fork)"
optional = false
python-versions = ">=3.8"
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] ]
[package.dependencies] [package.dependencies]
@ -1310,4 +1400,4 @@ watchmedo = ["PyYAML (>=3.10)"]
[metadata] [metadata]
lock-version = "2.0" lock-version = "2.0"
python-versions = ">=3.8.1,<4.0" python-versions = ">=3.8.1,<4.0"
content-hash = "40c2e6a7024c39612f27436a3016a336bcf9e0aa7b0468a111ed6220c5190a8d" content-hash = "979fe68dc87d220765c4f31867d1b51aaddf147ed571d4eb30bc39fc51d774d2"

2
libs/partners/openai/pyproject.toml
View File

@ -67,6 +67,8 @@ numpy = [
{version = "^1", python = "<3.12"}, {version = "^1", python = "<3.12"},
{version = "^1.26.0", python = ">=3.12"} {version = "^1.26.0", python = ">=3.12"}
] ]
httpx = "^0.27.0"
pillow = "^10.3.0"
[tool.ruff.lint] [tool.ruff.lint]
select = [ select = [

72
libs/partners/openai/tests/integration_tests/chat_models/test_base_standard.py
View File

@ -1,8 +1,11 @@
"""Standard LangChain interface tests""" """Standard LangChain interface tests"""
from typing import Type import base64
from typing import Type, cast
import httpx
from langchain_core.language_models import BaseChatModel from langchain_core.language_models import BaseChatModel
from langchain_core.messages import AIMessage, HumanMessage
from langchain_standard_tests.integration_tests import ChatModelIntegrationTests from langchain_standard_tests.integration_tests import ChatModelIntegrationTests
from langchain_openai import ChatOpenAI from langchain_openai import ChatOpenAI
@ -20,3 +23,70 @@ class TestOpenAIStandard(ChatModelIntegrationTests):
@property @property
def supports_image_inputs(self) -> bool: def supports_image_inputs(self) -> bool:
return True return True
# TODO: Add to standard tests if reliable token counting is added to other models.
def test_image_token_counting_jpeg(self, model: BaseChatModel) -> None:
image_url = "https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-nature-boardwalk.jpg/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg"
message = HumanMessage(
content=[
{"type": "text", "text": "describe the weather in this image"},
{
"type": "image_url",
"image_url": {"url": image_url},
},
],
)
expected = cast(AIMessage, model.invoke([message])).usage_metadata[ # type: ignore[index]
"input_tokens"
]
actual = model.get_num_tokens_from_messages([message])
assert expected == actual
image_data = base64.b64encode(httpx.get(image_url).content).decode("utf-8")
message = HumanMessage(
content=[
{"type": "text", "text": "describe the weather in this image"},
{
"type": "image_url",
"image_url": {"url": f"data:image/jpeg;base64,{image_data}"},
},
],
)
expected = cast(AIMessage, model.invoke([message])).usage_metadata[ # type: ignore[index]
"input_tokens"
]
actual = model.get_num_tokens_from_messages([message])
assert expected == actual
def test_image_token_counting_png(self, model: BaseChatModel) -> None:
image_url = "https://upload.wikimedia.org/wikipedia/commons/4/47/PNG_transparency_demonstration_1.png"
message = HumanMessage(
content=[
{"type": "text", "text": "how many dice are in this image"},
{
"type": "image_url",
"image_url": {"url": image_url},
},
],
)
expected = cast(AIMessage, model.invoke([message])).usage_metadata[ # type: ignore[index]
"input_tokens"
]
actual = model.get_num_tokens_from_messages([message])
assert expected == actual
image_data = base64.b64encode(httpx.get(image_url).content).decode("utf-8")
message = HumanMessage(
content=[
{"type": "text", "text": "how many dice are in this image"},
{
"type": "image_url",
"image_url": {"url": f"data:image/png;base64,{image_data}"},
},
],
)
expected = cast(AIMessage, model.invoke([message])).usage_metadata[ # type: ignore[index]
"input_tokens"
]
actual = model.get_num_tokens_from_messages([message])
assert expected == actual

133
libs/partners/upstage/poetry.lock generated
View File

@ -1,5 +1,16 @@
# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand. # This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand.
[[package]]
name = "annotated-types"
version = "0.7.0"
description = "Reusable constraint types to use with typing.Annotated"
optional = false
python-versions = ">=3.8"
files = [
{file = "annotated_types-0.7.0-py3-none-any.whl", hash = "sha256:1f02e8b43a8fbbc3f3e0d4f0f4bfc8131bcb4eebe8849b8e5c773f3a1c582a53"},
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]
[[package]] [[package]]
name = "anyio" name = "anyio"
version = "4.3.0" version = "4.3.0"
@ -340,7 +351,7 @@ files = [
[[package]] [[package]]
name = "langchain-core" name = "langchain-core"
version = "0.2.7" version = "0.2.9"
description = "Building applications with LLMs through composability" description = "Building applications with LLMs through composability"
optional = false optional = false
python-versions = ">=3.8.1,<4.0" python-versions = ">=3.8.1,<4.0"
@ -351,9 +362,12 @@ develop = true
jsonpatch = "^1.33" jsonpatch = "^1.33"
langsmith = "^0.1.75" langsmith = "^0.1.75"
packaging = ">=23.2,<25" packaging = ">=23.2,<25"
pydantic = ">=1,<3" pydantic = [
{version = ">=1,<3", markers = "python_full_version < \"3.12.4\""},
{version = ">=2.7.4,<3.0.0", markers = "python_full_version >= \"3.12.4\""},
]
PyYAML = ">=5.3" PyYAML = ">=5.3"
tenacity = "^8.1.0" tenacity = "^8.1.0,!=8.4.0"
[package.source] [package.source]
type = "directory" type = "directory"
@ -387,6 +401,7 @@ files = []
develop = true develop = true
[package.dependencies] [package.dependencies]
httpx = "^0.27.0"
langchain-core = ">=0.1.40,<0.3" langchain-core = ">=0.1.40,<0.3"
pytest = ">=7,<9" pytest = ">=7,<9"
@ -744,6 +759,116 @@ typing-extensions = ">=4.2.0"
dotenv = ["python-dotenv (>=0.10.4)"] dotenv = ["python-dotenv (>=0.10.4)"]
email = ["email-validator (>=1.0.3)"] email = ["email-validator (>=1.0.3)"]
[[package]]
name = "pydantic"
version = "2.7.4"
description = "Data validation using Python type hints"
optional = false
python-versions = ">=3.8"
files = [
{file = "pydantic-2.7.4-py3-none-any.whl", hash = "sha256:ee8538d41ccb9c0a9ad3e0e5f07bf15ed8015b481ced539a1759d8cc89ae90d0"},
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annotated-types = ">=0.4.0"
pydantic-core = "2.18.4"
typing-extensions = ">=4.6.1"
[package.extras]
email = ["email-validator (>=2.0.0)"]
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]
[package.dependencies]
typing-extensions = ">=4.6.0,<4.7.0 || >4.7.0"
[[package]] [[package]]
name = "pygments" name = "pygments"
version = "2.18.0" version = "2.18.0"
@ -1352,4 +1477,4 @@ watchmedo = ["PyYAML (>=3.10)"]
[metadata] [metadata]
lock-version = "2.0" lock-version = "2.0"
python-versions = ">=3.8.1,<4.0" python-versions = ">=3.8.1,<4.0"
content-hash = "b21648a1fdc08f901c82fb3b4773682f0a4b83b03b97ae1ddbd0834b730ff8c2" content-hash = "65b3799471f43551c912f436d7d2511ff6375d670659b8d8044bbde0dfcc2d90"

1
libs/partners/upstage/pyproject.toml
View File

@ -30,7 +30,6 @@ pytest-asyncio = "^0.21.1"
langchain-openai = { path = "../openai", develop = true } langchain-openai = { path = "../openai", develop = true }
langchain-core = { path = "../../core", develop = true } langchain-core = { path = "../../core", develop = true }
docarray = "^0.32.1" docarray = "^0.32.1"
pydantic = "^1.10.9"
langchain-standard-tests = { path = "../../standard-tests", develop = true } langchain-standard-tests = { path = "../../standard-tests", develop = true }
[tool.poetry.group.codespell] [tool.poetry.group.codespell]