diff --git a/.github/workflows/pyright.yml b/.github/workflows/pyright.yml index d8e60b0a5..229201019 100644 --- a/.github/workflows/pyright.yml +++ b/.github/workflows/pyright.yml @@ -21,29 +21,13 @@ jobs: steps: - name: Checkout code uses: actions/checkout@v3 - - - name: Set up Python - uses: actions/setup-python@v4 - with: - python-version: ${{ matrix.python-version }} - - - name: Cache Poetry virtualenv - uses: actions/cache@v2 - with: - path: ~/.cache/pypoetry/virtualenvs - key: ${{ runner.os }}-poetry-${{ hashFiles('**/poetry.lock') }} - restore-keys: | - ${{ runner.os }}-poetry- - - - name: Install Poetry - uses: snok/install-poetry@v1.3.1 - - - name: Install dependencies - run: poetry install --with dev,anthropic - - - name: Add poetry to PATH - run: echo "$(poetry env info --path)/bin" >> $GITHUB_PATH - - - uses: jakebailey/pyright-action@v2 + - name: Install uv + uses: astral-sh/setup-uv@v4 with: - version: 1.1.373 + enable-cache: true + - name: Set up Python + run: uv python install ${{ matrix.python-version }} + - name: Install the project + run: uv sync --all-extras + - name: Run pyright + run: uv run pyright diff --git a/.github/workflows/python-publish.yml b/.github/workflows/python-publish.yml index 1bea74f84..7799c6ccb 100644 --- a/.github/workflows/python-publish.yml +++ b/.github/workflows/python-publish.yml @@ -21,21 +21,16 @@ jobs: steps: - uses: actions/checkout@v2 - - - name: Set up Python 3.10 - uses: actions/setup-python@v4 + - name: Install uv + uses: astral-sh/setup-uv@v4 with: - python-version: '3.10' - - - name: Install Poetry - uses: snok/install-poetry@v1.3.1 - env: - ACTIONS_ALLOW_UNSECURE_COMMANDS: 'true' - - - name: Get release version - run: echo "RELEASE_VERSION=$(poetry version | awk '{print $2}')" >> $GITHUB_ENV + enable-cache: true + - name: Set up Python + run: uv python install 3.10 + - name: Install the project + run: uv sync --all-extras - name: Build and publish Python package - run: poetry publish --build + run: uv publish env: - POETRY_PYPI_TOKEN_PYPI: ${{ secrets.PYPI_TOKEN }} + UV_PUBLISH_TOKEN: ${{ secrets.PYPI_TOKEN }} diff --git a/.github/workflows/ruff.yml b/.github/workflows/ruff.yml index 2c81358ca..79d271434 100644 --- a/.github/workflows/ruff.yml +++ b/.github/workflows/ruff.yml @@ -20,16 +20,14 @@ jobs: steps: - name: Checkout code uses: actions/checkout@v3 - - name: Environment setup - uses: actions/setup-python@v4 + - name: Install uv + uses: astral-sh/setup-uv@v4 with: - python-version: 3.9 - cache: "pip" - - name: Install dev dependencies - run: | - python3 -m pip install --upgrade pip setuptools wheel - python3 -m pip install -r requirements.txt - python3 -m pip install -r requirements-doc.txt + enable-cache: true + - name: Set up Python + run: uv python install 3.9 + - name: Install the project + run: uv sync --all-extras - name: Run Continuous Integration Action uses: astral-sh/ruff-action@v1 - name: Upload Artifacts diff --git a/.github/workflows/test.yml b/.github/workflows/test.yml index f325a570f..3321f0bff 100644 --- a/.github/workflows/test.yml +++ b/.github/workflows/test.yml @@ -15,45 +15,34 @@ jobs: steps: - uses: actions/checkout@v2 - - - name: Set up Python - uses: actions/setup-python@v4 + - name: Install uv + uses: astral-sh/setup-uv@v4 with: - python-version: ${{ matrix.python-version }} - - - name: Cache Poetry virtualenv - uses: actions/cache@v2 - with: - path: ~/.cache/pypoetry/virtualenvs - key: ${{ runner.os }}-poetry-${{ hashFiles('**/poetry.lock') }} - restore-keys: | - ${{ runner.os }}-poetry- - - - name: Install Poetry - uses: snok/install-poetry@v1.3.1 - - - name: Install dependencies - run: poetry install --with dev,anthropic - + enable-cache: true + - name: Set up Python + run: uv python install ${{ matrix.python-version }} + - name: Install the project + run: uv sync --all-extras - name: Run tests if: matrix.python-version != '3.11' - run: poetry run pytest tests/ -k 'not llm and not openai and not gemini and not anthropic and not cohere and not vertexai' && poetry run pytest tests/llm/test_cohere + run: uv run pytest tests/ -k 'not llm and not openai and not gemini and not anthropic and not cohere and not vertexai' env: OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }} ANTHROPIC_API_KEY: ${{ secrets.ANTHROPIC_API_KEY }} COHERE_API_KEY: ${{ secrets.COHERE_API_KEY }} - name: Run Gemini Tests - run: poetry run pytest tests/llm/test_gemini + if: matrix.python-version == '3.11' + run: uv run pytest tests/llm/test_gemini env: GOOGLE_API_KEY: ${{ secrets.GOOGLE_API_KEY }} - name: Generate coverage report if: matrix.python-version == '3.11' run: | - poetry run coverage run -m pytest tests/ -k "not docs and not anthropic and not gemini and not cohere and not vertexai and not fireworks" - poetry run coverage report - poetry run coverage html + uv run coverage run -m pytest tests/ -k "not docs and not anthropic and not gemini and not cohere and not vertexai and not fireworks" + uv run coverage report + uv run coverage html env: OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }} ANTHROPIC_API_KEY: ${{ secrets.ANTHROPIC_API_KEY }} diff --git a/.github/workflows/test_docs.yml b/.github/workflows/test_docs.yml index ab264130d..212144964 100644 --- a/.github/workflows/test_docs.yml +++ b/.github/workflows/test_docs.yml @@ -28,18 +28,10 @@ jobs: with: python-version: ${{ matrix.python-version }} cache: "poetry" - - - name: Cache Poetry virtualenv - uses: actions/cache@v2 - with: - path: ~/.cache/pypoetry/virtualenvs - key: ${{ runner.os }}-poetry-${{ hashFiles('**/poetry.lock') }} - restore-keys: | - ${{ runner.os }}-poetry- - - - name: Install dependencies - run: poetry install --with dev,docs,test-docs,anthropic,google-generativeai - + - name: Install uv + uses: astral-sh/setup-uv@v4 + - name: Install the project + run: uv sync --all-extras - name: Run tests run: poetry run pytest tests/llm/test_openai/docs env: diff --git a/README.md b/README.md index 77d207ad4..6fd491847 100644 --- a/README.md +++ b/README.md @@ -1,6 +1,6 @@ # Instructor, The Most Popular Library for Simple Structured Outputs -Instructor is the most popular Python library for working with structured outputs from large language models (LLMs), boasting over 600,000 monthly downloads. Built on top of Pydantic, it provides a simple, transparent, and user-friendly API to manage validation, retries, and streaming responses. Get ready to supercharge your LLM workflows with the community's top choice! +Instructor is the most popular Python library for working with structured outputs from large language models (LLMs), boasting over 1 million monthly downloads. Built on top of Pydantic, it provides a simple, transparent, and user-friendly API to manage validation, retries, and streaming responses. Get ready to supercharge your LLM workflows with the community's top choice! [![Twitter Follow](https://img.shields.io/twitter/follow/jxnlco?style=social)](https://twitter.com/jxnlco) [![Discord](https://img.shields.io/discord/1192334452110659664?label=discord)](https://discord.gg/bD9YE9JArw) @@ -131,9 +131,10 @@ user_info = client.chat.completions.create( print(f"Name: {user_info.name}, Age: {user_info.age}") #> Name: John, Age: 20 -``` +``` This example demonstrates: + 1. A pre-execution hook that logs all kwargs passed to the function. 2. An exception hook that logs any exceptions that occur during execution. @@ -513,6 +514,14 @@ We invite you to contribute to evals in `pytest` as a way to monitor the quality If you want to help, checkout some of the issues marked as `good-first-issue` or `help-wanted` found [here](https://github.com/jxnl/instructor/labels/good%20first%20issue). They could be anything from code improvements, a guest blog post, or a new cookbook. +Here's a quick list of commands that you can run to get started. We're using `uv` to manage our dependencies so make sure you have that installed. + +1. `uv sync --all-extras --group `: This should install all the dependencies for the project using `uv`, make sure to install the specific dependencies that you'd like to install + +2. `uv run pytest` : This runs the tests in `pytest`. If you're pushing up a new PR, make sure that you've written some tests and that they're passing locally for you + +We use `ruff` and `pyright` for linting and type checking so make sure those are passing when you push up a PR. You can check pyright by running `uv run pyright` and ruff with `uv run ruff check` locally. + ## CLI We also provide some added CLI functionality for easy convenience: diff --git a/docs/concepts/prompt_caching.md b/docs/concepts/prompt_caching.md index 341340846..4452a52fb 100644 --- a/docs/concepts/prompt_caching.md +++ b/docs/concepts/prompt_caching.md @@ -17,23 +17,16 @@ This optimization is especially useful for applications making multiple API call Prompt Caching is enabled for the following models: -* gpt-4o -* gpt-4o-mini -* o1-preview -* o1-mini +- gpt-4o +- gpt-4o-mini +- o1-preview +- o1-mini Caching is based on prefix matching, so if you're using a system prompt that contains a common set of instructions, you're likely to see a cache hit as long as you move all variable parts of the prompt to the end of the message when possible. - ## Prompt Caching in Anthropic -The `anthropic.beta.prompt_caching.messages.create` method enables you to: - -1. Cache specific prompt portions -2. Reuse cached content in subsequent calls -3. Reduce processed data per request - -By implementing prompt caching, you can potentially enhance efficiency and reduce costs, especially when dealing with large, shared contexts across multiple API interactions. +Prompt Caching is now generally avaliable for Anthropic. This enables you to cache specific prompt portions, reuse cached content in subsequent calls, and reduce processed data per request. ??? note "Source Text" @@ -182,18 +175,11 @@ By implementing prompt caching, you can potentially enhance efficiency and reduc ``` ```python -from instructor import Instructor, Mode, patch +import instructor from anthropic import Anthropic from pydantic import BaseModel -client = Instructor( # (1)! - client=Anthropic(), - create=patch( - create=Anthropic().beta.prompt_caching.messages.create, - mode=Mode.ANTHROPIC_TOOLS, - ), - mode=Mode.ANTHROPIC_TOOLS, -) +client = instructor.from_anthropic(Anthropic()) class Character(BaseModel): @@ -204,8 +190,8 @@ class Character(BaseModel): with open("./book.txt") as f: book = f.read() -resp = client.chat.completions.create( - model="claude-3-haiku-20240307", +resp, completion = client.chat.completions.create_with_completion( + model="claude-3-5-sonnet-20240620", messages=[ { "role": "user", @@ -213,7 +199,7 @@ resp = client.chat.completions.create( { "type": "text", "text": "" + book + "", - "cache_control": {"type": "ephemeral"}, # (2)! + "cache_control": {"type": "ephemeral"}, #(1)! }, { "type": "text", @@ -225,11 +211,33 @@ resp = client.chat.completions.create( response_model=Character, max_tokens=1000, ) -``` -1. Since the feature is still in beta, we need to manually pass in the function that we're looking to patch. +print(completion) +# Message( +# id='msg_01QcqjktYc1PXL8nk7y5hkMV', +# content=[ +# ToolUseBlock( +# id='toolu_019wABRzQxtSbXeuuRwvJo15', +# input={ +# 'name': 'Jane Austen', +# 'description': 'A renowned English novelist of the early 19th century, known for her wit, humor, and keen observations of human nature. She is the author of +# several classic novels including "Pride and Prejudice," "Emma," "Sense and Sensibility," and "Mansfield Park." Austen\'s writing is characterized by its subtlety, delicate touch, +# and ability to create memorable characters. Her work often involves social commentary and explores themes of love, marriage, and societal expectations in Regency-era England.' +# }, +# name='Character', +# type='tool_use' +# ) +# ], +# model='claude-3-5-sonnet-20240620', +# role='assistant', +# stop_reason='tool_use', +# stop_sequence=None, +# type='message', +# usage=Usage(cache_creation_input_tokens=2777, cache_read_input_tokens=0, input_tokens=30, output_tokens=161) +# ) +``` -2. Anthropic requires that you explicitly pass in the `cache_control` parameter to indicate that you want to cache the content. +1. Anthropic requires that you explicitly pass in the `cache_control` parameter to indicate that you want to cache the content. !!! Warning "Caching Considerations" diff --git a/instructor/client.py b/instructor/client.py index 87cf1cb8c..8b02a0050 100644 --- a/instructor/client.py +++ b/instructor/client.py @@ -373,7 +373,7 @@ def __init__( self.provider = provider self.hooks = hooks or Hooks() - async def create( + async def create( # type: ignore[override] self, response_model: type[T] | None, messages: list[ChatCompletionMessageParam], @@ -395,7 +395,7 @@ async def create( **kwargs, ) - async def create_partial( + async def create_partial( # type: ignore[override] self, response_model: type[T], messages: list[ChatCompletionMessageParam], @@ -419,7 +419,7 @@ async def create_partial( ): yield item - async def create_iterable( + async def create_iterable( # type: ignore[override] self, messages: list[ChatCompletionMessageParam], response_model: type[T], @@ -443,7 +443,7 @@ async def create_iterable( ): yield item - async def create_with_completion( + async def create_with_completion( # type: ignore[override] self, messages: list[ChatCompletionMessageParam], response_model: type[T], diff --git a/instructor/client_anthropic.py b/instructor/client_anthropic.py index 0860e1a42..d0e23590a 100644 --- a/instructor/client_anthropic.py +++ b/instructor/client_anthropic.py @@ -12,7 +12,6 @@ def from_anthropic( anthropic.Anthropic | anthropic.AnthropicBedrock | anthropic.AnthropicVertex ), mode: instructor.Mode = instructor.Mode.ANTHROPIC_TOOLS, - enable_prompt_caching: bool = False, beta: bool = False, **kwargs: Any, ) -> instructor.Instructor: ... @@ -26,7 +25,6 @@ def from_anthropic( | anthropic.AsyncAnthropicVertex ), mode: instructor.Mode = instructor.Mode.ANTHROPIC_TOOLS, - enable_prompt_caching: bool = False, beta: bool = False, **kwargs: Any, ) -> instructor.AsyncInstructor: ... @@ -42,7 +40,6 @@ def from_anthropic( | anthropic.AnthropicVertex ), mode: instructor.Mode = instructor.Mode.ANTHROPIC_TOOLS, - enable_prompt_caching: bool = False, beta: bool = False, **kwargs: Any, ) -> instructor.Instructor | instructor.AsyncInstructor: @@ -82,14 +79,7 @@ def from_anthropic( ), ), "Client must be an instance of {anthropic.Anthropic, anthropic.AsyncAnthropic, anthropic.AnthropicBedrock, anthropic.AsyncAnthropicBedrock, anthropic.AnthropicVertex, anthropic.AsyncAnthropicVertex}" - if enable_prompt_caching: - if isinstance(client, (anthropic.Anthropic, anthropic.AsyncAnthropic)): - create = client.beta.prompt_caching.messages.create - else: - raise TypeError( - "Client must be an instance of {anthropic.Anthropic, anthropic.AsyncAnthropic} to enable prompt caching" - ) - elif beta: + if beta: create = client.beta.messages.create else: create = client.messages.create diff --git a/instructor/client_mistral.py b/instructor/client_mistral.py index 5d2e2ca6d..e36b6b487 100644 --- a/instructor/client_mistral.py +++ b/instructor/client_mistral.py @@ -11,19 +11,18 @@ def from_mistral( client: Mistral, mode: instructor.Mode = instructor.Mode.MISTRAL_TOOLS, - use_async: Literal[False] = False, + use_async: Literal[True] = True, **kwargs: Any, -) -> instructor.Instructor: ... +) -> instructor.AsyncInstructor: ... @overload def from_mistral( client: Mistral, mode: instructor.Mode = instructor.Mode.MISTRAL_TOOLS, - use_async: Literal[True] = True, + use_async: Literal[False] = False, **kwargs: Any, -) -> instructor.AsyncInstructor: ... - +) -> instructor.Instructor: ... def from_mistral( client: Mistral, @@ -35,6 +34,8 @@ def from_mistral( instructor.Mode.MISTRAL_TOOLS, }, "Mode be one of {instructor.Mode.MISTRAL_TOOLS}" + + assert isinstance( client, Mistral ), "Client must be an instance of mistralai.Mistral" diff --git a/instructor/distil.py b/instructor/distil.py index 16305ffdc..a9b7476df 100644 --- a/instructor/distil.py +++ b/instructor/distil.py @@ -203,7 +203,7 @@ def _distil(*args: P.args, **kwargs: P.kwargs) -> T_Retval: return _dispatch if mode == "dispatch" else _distil if len(args) == 1 and callable(args[0]): - return _wrap_distil(args[0]) + return _wrap_distil(args[0]) # type: ignore return _wrap_distil diff --git a/instructor/reask.py b/instructor/reask.py index 42da71a6d..cd3338993 100644 --- a/instructor/reask.py +++ b/instructor/reask.py @@ -23,9 +23,8 @@ def reask_anthropic_tools( ): kwargs = kwargs.copy() from anthropic.types import Message - from anthropic.types.beta.prompt_caching import PromptCachingBetaMessage - assert isinstance(response, Message) or isinstance(response, PromptCachingBetaMessage), "Response must be a Anthropic Message" + assert isinstance(response, Message), "Response must be a Anthropic Message" assistant_content = [] tool_use_id = None @@ -71,9 +70,8 @@ def reask_anthropic_json( ): kwargs = kwargs.copy() from anthropic.types import Message - from anthropic.types.beta.prompt_caching import PromptCachingBetaMessage - assert isinstance(response, Message) or isinstance(response, PromptCachingBetaMessage), "Response must be a Anthropic Message" + assert isinstance(response, Message), "Response must be a Anthropic Message" reask_msg = { "role": "user", diff --git a/instructor/retry.py b/instructor/retry.py index 853a73a54..fb374c4b7 100644 --- a/instructor/retry.py +++ b/instructor/retry.py @@ -14,7 +14,11 @@ from instructor.utils import update_total_usage from instructor.validators import AsyncValidationError from openai.types.chat import ChatCompletion -from openai.types.completion_usage import CompletionUsage, CompletionTokensDetails, PromptTokensDetails +from openai.types.completion_usage import ( + CompletionUsage, + CompletionTokensDetails, + PromptTokensDetails, +) from pydantic import BaseModel, ValidationError from tenacity import ( AsyncRetrying, @@ -71,14 +75,24 @@ def initialize_usage(mode: Mode) -> CompletionUsage | Any: Returns: CompletionUsage | Any: Initialized usage object. """ - total_usage = CompletionUsage(completion_tokens=0, prompt_tokens=0, total_tokens=0, - completion_tokens_details = CompletionTokensDetails(audio_tokens=0, reasoning_tokens=0), - prompt_tokens_details = PromptTokensDetails(audio_tokens=0, cached_tokens=0) + total_usage = CompletionUsage( + completion_tokens=0, + prompt_tokens=0, + total_tokens=0, + completion_tokens_details=CompletionTokensDetails( + audio_tokens=0, reasoning_tokens=0 + ), + prompt_tokens_details=PromptTokensDetails(audio_tokens=0, cached_tokens=0), ) if mode in {Mode.ANTHROPIC_TOOLS, Mode.ANTHROPIC_JSON}: from anthropic.types import Usage as AnthropicUsage - total_usage = AnthropicUsage(input_tokens=0, output_tokens=0) + total_usage = AnthropicUsage( + input_tokens=0, + output_tokens=0, + cache_read_input_tokens=0, + cache_creation_input_tokens=0, + ) return total_usage diff --git a/instructor/utils.py b/instructor/utils.py index 55d746760..088cebbaf 100644 --- a/instructor/utils.py +++ b/instructor/utils.py @@ -167,8 +167,20 @@ def update_total_usage( if isinstance(response_usage, AnthropicUsage) and isinstance( total_usage, AnthropicUsage ): + if not total_usage.cache_creation_input_tokens: + total_usage.cache_creation_input_tokens = 0 + + if not total_usage.cache_read_input_tokens: + total_usage.cache_read_input_tokens = 0 + total_usage.input_tokens += response_usage.input_tokens or 0 total_usage.output_tokens += response_usage.output_tokens or 0 + total_usage.cache_creation_input_tokens += ( + response_usage.cache_creation_input_tokens or 0 + ) + total_usage.cache_read_input_tokens += ( + response_usage.cache_read_input_tokens or 0 + ) response.usage = total_usage return response except ImportError: diff --git a/poetry.lock b/poetry.lock deleted file mode 100644 index c48a1f2bf..000000000 --- a/poetry.lock +++ /dev/null @@ -1,5978 +0,0 @@ -# This file is automatically @generated by Poetry 1.8.5 and should not be changed by hand. - 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["poetry-core"] -build-backend = "poetry.core.masonry.api" +[project.urls] +repository = "https://github.com/instructor-ai/instructor" [tool.pyright] include = ["instructor"] @@ -139,8 +37,111 @@ exclude = [ "src/typestubs", "**/tests/**", ] + +reportMissingImports = "error" +reportMissingTypeStubs = false + pythonVersion = "3.9" -typeCheckingMode = "strict" -# Allow "redundant" runtime type-checking. -reportUnnecessaryIsInstance = "none" -reportUnnecessaryTypeIgnoreComment = "error" +pythonPlatform = "Linux" + +[project.optional-dependencies] +test-docs = [ + "fastapi<0.116.0,>=0.109.2", + "redis<6.0.0,>=5.0.1", + "diskcache<6.0.0,>=5.6.3", + "pandas<3.0.0,>=2.2.0", + "tabulate<1.0.0,>=0.9.0", + "pydantic-extra-types<3.0.0,>=2.6.0", + "litellm<2.0.0,>=1.35.31", + "mistralai<2.0.0,>=1.0.3", +] +anthropic = [ + "anthropic==0.42.0", + "xmltodict<0.15,>=0.13", +] +groq = [ + "groq<0.14.0,>=0.4.2", +] +cohere = [ + "cohere<6.0.0,>=5.1.8", +] +google-generativeai = [ + 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+] +test-docs = [ + "fastapi<0.116.0,>=0.109.2", + "redis<6.0.0,>=5.0.1", + "diskcache<6.0.0,>=5.6.3", + "pandas<3.0.0,>=2.2.0", + "tabulate<1.0.0,>=0.9.0", + "pydantic-extra-types<3.0.0,>=2.6.0", + "litellm<2.0.0,>=1.35.31", + "anthropic==0.42.0", + "xmltodict<0.15,>=0.13", + "groq<0.14.0,>=0.4.2", + "phonenumbers<9.0.0,>=8.13.33", + "cohere<6.0.0,>=5.1.8", + "mistralai<2.0.0,>=1.0.3", + "cerebras-cloud-sdk<2.0.0,>=1.5.0", + "fireworks-ai<1.0.0,>=0.15.4", + "graphviz<1.0.0,>=0.20.3", + "sqlmodel<1.0.0,>=0.0.22", + "trafilatura<3.0.0,>=1.12.2", + "pydub<1.0.0,>=0.25.1", + "datasets<4.0.0,>=3.0.1", + "writer-sdk<2.0.0,>=1.2.0", +] +litellm = [ + "litellm<2.0.0,>=1.35.31", +] +google-generativeai = [ + "google-generativeai<1.0.0,>=0.8.2", + "jsonref<2.0.0,>=1.1.0", +] +vertexai = [ + "google-cloud-aiplatform<2.0.0,>=1.53.0", + "jsonref<2.0.0,>=1.1.0", +] diff --git a/tests/llm/test_anthropic/test_multimodal.py b/tests/llm/test_anthropic/test_multimodal.py index 5cbf311d2..991ea304d 100644 --- a/tests/llm/test_anthropic/test_multimodal.py +++ b/tests/llm/test_anthropic/test_multimodal.py @@ -12,6 +12,9 @@ class ImageDescription(BaseModel): colors: list[str] = Field(..., description="The colors in the image") +image_url = "https://github.com/google-gemini/cookbook/blob/main/examples/assets/castle.png?raw=true" + + @pytest.mark.parametrize("model, mode", product(models, modes)) def test_multimodal_image_description(model, mode, client): client = instructor.from_anthropic(client, mode=mode) @@ -27,9 +30,7 @@ def test_multimodal_image_description(model, mode, client): "role": "user", "content": [ "What is this?", - Image.from_url( - "https://pbs.twimg.com/profile_images/1816950591857233920/ZBxrWCbX_400x400.jpg" - ), + Image.from_url(image_url), ], }, ], @@ -59,7 +60,7 @@ def test_multimodal_image_description_autodetect(model, mode, client): "role": "user", "content": [ "What is this?", - "https://pbs.twimg.com/profile_images/1816950591857233920/ZBxrWCbX_400x400.jpg", + image_url, ], }, ], @@ -94,7 +95,7 @@ def test_multimodal_image_description_autodetect_image_params(model, mode, clien "What is this?", { "type": "image", - "source": "https://pbs.twimg.com/profile_images/1816950591857233920/ZBxrWCbX_400x400.jpg", + "source": image_url, }, ], }, @@ -117,7 +118,7 @@ def test_multimodal_image_description_autodetect_image_params(model, mode, clien def test_multimodal_image_description_autodetect_image_params_cache( model, mode, client ): - client = instructor.from_anthropic(client, mode=mode, enable_prompt_caching=True) + client = instructor.from_anthropic(client, mode=mode) messages = client.chat.completions.create( model=model, # Ensure this is a vision-capable model response_model=None, @@ -174,7 +175,7 @@ def test_multimodal_image_description_autodetect_no_response_model(model, mode, }, { "role": "user", - "content": "https://pbs.twimg.com/profile_images/1816950591857233920/ZBxrWCbX_400x400.jpg", + "content": image_url, }, ], max_tokens=1000, @@ -192,7 +193,7 @@ def test_multimodal_image_description_autodetect_no_response_model(model, mode, messages=[ { "role": "user", - "content": "https://pbs.twimg.com/profile_images/1816950591857233920/ZBxrWCbX_400x400.jpg", + "content": image_url, }, ], max_tokens=1000, diff --git a/tests/llm/test_anthropic/test_system.py b/tests/llm/test_anthropic/test_system.py index eb3158902..305a0df8e 100644 --- a/tests/llm/test_anthropic/test_system.py +++ b/tests/llm/test_anthropic/test_system.py @@ -41,7 +41,7 @@ def test_creation(model, mode, client): @pytest.mark.parametrize("model, mode", product(models, modes)) def test_creation_with_system_cache(model, mode, client): - client = instructor.from_anthropic(client, mode=mode, enable_prompt_caching=True) + client = instructor.from_anthropic(client, mode=mode) response, message = client.chat.completions.create_with_completion( model=model, response_model=User, @@ -83,7 +83,7 @@ def test_creation_with_system_cache(model, mode, client): 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