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

Resolves #23000 --------- Co-authored-by: isaac hershenson <ihershenson@hmc.edu> Co-authored-by: ccurme <chester.curme@gmail.com>
2 months ago · 0a4ee864e9
parent b3e53ffca0
commit 0a4ee864e9
6 changed files with 487 additions and 101 deletions
--- a/libs/partners/openai/langchain_openai/chat_models/base.py
+++ b/libs/partners/openai/langchain_openai/chat_models/base.py
@ -2,10 +2,13 @@

 from __future__ import annotations

+import base64
 import json
 import logging
 import os
 import sys
+from io import BytesIO
+from math import ceil
 from operator import itemgetter
 from typing import (
    Any,
@ -26,6 +29,7 @@ from typing import (
    cast,
    overload,
 )
+from urllib.parse import urlparse

 import openai
 import tiktoken
@ -736,7 +740,13 @@ class BaseChatOpenAI(BaseChatModel):
    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.

-        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"""
        if sys.version_info[1] <= 7:
            return super().get_num_tokens_from_messages(messages)
@ -753,7 +763,7 @@ class BaseChatOpenAI(BaseChatModel):
            raise NotImplementedError(
                f"get_num_tokens_from_messages() is not presently implemented "
                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."
            )
        num_tokens = 0
@ -761,9 +771,27 @@ class BaseChatOpenAI(BaseChatModel):
        for message in messages_dict:
            num_tokens += tokens_per_message
            for key, value in message.items():
-                # Cast str(value) in case the message value is not a string
-                # This occurs with function messages
-                num_tokens += len(encoding.encode(str(value)))
+                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
+                    # This occurs with function messages
+                    num_tokens += len(encoding.encode(value))
                if key == "name":
                    num_tokens += tokens_per_name
        # 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"],
        },
    }
+
+
+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
--- a/libs/partners/openai/poetry.lock
+++ b/libs/partners/openai/poetry.lock
@ -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]]
 name = "annotated-types"
@ -385,7 +385,7 @@ files = [

 [[package]]
 name = "langchain-core"
-version = "0.2.5"
+version = "0.2.9"
 description = "Building applications with LLMs through composability"
 optional = false
 python-versions = ">=3.8.1,<4.0"
@ -396,9 +396,12 @@ develop = true
 jsonpatch = "^1.33"
 langsmith = "^0.1.75"
 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"
-tenacity = "^8.1.0"
+tenacity = "^8.1.0,!=8.4.0"

 [package.source]
 type = "directory"
@ -406,7 +409,7 @@ url = "../../core"

 [[package]]
 name = "langchain-standard-tests"
-version = "0.1.0"
+version = "0.1.1"
 description = "Standard tests for LangChain implementations"
 optional = false
 python-versions = ">=3.8.1,<4.0"
@ -414,6 +417,7 @@ files = []
 develop = true

 [package.dependencies]
+httpx = "^0.27.0"
 langchain-core = ">=0.1.40,<0.3"
 pytest = ">=7,<9"

@ -669,6 +673,92 @@ files = [
    {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]
@ -1310,4 +1400,4 @@ watchmedo = ["PyYAML (>=3.10)"]
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.8.1,<4.0"
-content-hash = "40c2e6a7024c39612f27436a3016a336bcf9e0aa7b0468a111ed6220c5190a8d"
+content-hash = "979fe68dc87d220765c4f31867d1b51aaddf147ed571d4eb30bc39fc51d774d2"
--- a/libs/partners/openai/pyproject.toml
+++ b/libs/partners/openai/pyproject.toml
@ -67,6 +67,8 @@ numpy = [
    {version = "^1", python = "<3.12"},
    {version = "^1.26.0", python = ">=3.12"}
 ]
+httpx = "^0.27.0"
+pillow = "^10.3.0"

 [tool.ruff.lint]
 select = [
--- a/libs/partners/openai/tests/integration_tests/chat_models/test_base_standard.py
+++ b/libs/partners/openai/tests/integration_tests/chat_models/test_base_standard.py
@ -1,8 +1,11 @@
 """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.messages import AIMessage, HumanMessage
 from langchain_standard_tests.integration_tests import ChatModelIntegrationTests

 from langchain_openai import ChatOpenAI
@ -20,3 +23,70 @@ class TestOpenAIStandard(ChatModelIntegrationTests):
    @property
    def supports_image_inputs(self) -> bool:
        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
--- a/libs/partners/upstage/poetry.lock
+++ b/libs/partners/upstage/poetry.lock
@ -1,5 +1,16 @@
 # 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"},
+    {file = "annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89"},
+]
+
 [[package]]
 name = "anyio"
 version = "4.3.0"
@ -340,7 +351,7 @@ files = [

 [[package]]
 name = "langchain-core"
-version = "0.2.7"
+version = "0.2.9"
 description = "Building applications with LLMs through composability"
 optional = false
 python-versions = ">=3.8.1,<4.0"
@ -351,9 +362,12 @@ develop = true
 jsonpatch = "^1.33"
 langsmith = "^0.1.75"
 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"
-tenacity = "^8.1.0"
+tenacity = "^8.1.0,!=8.4.0"

 [package.source]
 type = "directory"
@ -387,6 +401,7 @@ files = []
 develop = true

 [package.dependencies]
+httpx = "^0.27.0"
 langchain-core = ">=0.1.40,<0.3"
 pytest = ">=7,<9"

@ -744,6 +759,116 @@ typing-extensions = ">=4.2.0"
 dotenv = ["python-dotenv (>=0.10.4)"]
 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 = [
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+    {file = "pydantic-2.7.4.tar.gz", hash = "sha256:0c84efd9548d545f63ac0060c1e4d39bb9b14db8b3c0652338aecc07b5adec52"},
+]
+
+[package.dependencies]
+annotated-types = ">=0.4.0"
+pydantic-core = "2.18.4"
+typing-extensions = ">=4.6.1"
+
+[package.extras]
+email = ["email-validator (>=2.0.0)"]
+
+[[package]]
+name = "pydantic-core"
+version = "2.18.4"
+description = "Core functionality for Pydantic validation and serialization"
+optional = false
+python-versions = ">=3.8"
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+]
+
+[package.dependencies]
+typing-extensions = ">=4.6.0,<4.7.0 || >4.7.0"
+
 [[package]]
 name = "pygments"
 version = "2.18.0"
@ -1352,4 +1477,4 @@ watchmedo = ["PyYAML (>=3.10)"]
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.8.1,<4.0"
-content-hash = "b21648a1fdc08f901c82fb3b4773682f0a4b83b03b97ae1ddbd0834b730ff8c2"
+content-hash = "65b3799471f43551c912f436d7d2511ff6375d670659b8d8044bbde0dfcc2d90"
--- a/libs/partners/upstage/pyproject.toml
+++ b/libs/partners/upstage/pyproject.toml
@ -30,7 +30,6 @@ pytest-asyncio = "^0.21.1"
 langchain-openai = { path = "../openai", develop = true }
 langchain-core = { path = "../../core", develop = true }
 docarray = "^0.32.1"
-pydantic = "^1.10.9"
 langchain-standard-tests = { path = "../../standard-tests", develop = true }

 [tool.poetry.group.codespell]