From 5742e3d56216678a7ceaa6eac2254038b0adebeb Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?G=C3=B6k=20Bora=20Y=C4=B1lmaz?=
<79590180+gokborayilmaz@users.noreply.github.com>
Date: Tue, 24 Dec 2024 19:23:31 +0300
Subject: [PATCH 1/9] fix: Updated broken contributors profile link in
README.md (#1275)
---
README.md | 4 ++--
1 file changed, 2 insertions(+), 2 deletions(-)
diff --git a/README.md b/README.md
index 165941fe5..77d207ad4 100644
--- a/README.md
+++ b/README.md
@@ -538,6 +538,6 @@ This project is licensed under the terms of the MIT License.
-
-
+
+
From b0c968bfe5ec0a16e3754cc5da67a3f792f0960d Mon Sep 17 00:00:00 2001
From: Ivan Leo
Date: Wed, 25 Dec 2024 10:09:10 +0800
Subject: [PATCH 2/9] Adding support for Gemini-8b and 2.0 (#1274)
---
.github/workflows/test.yml | 5 +++++
instructor/reask.py | 9 +++++++++
tests/llm/test_gemini/util.py | 2 +-
3 files changed, 15 insertions(+), 1 deletion(-)
diff --git a/.github/workflows/test.yml b/.github/workflows/test.yml
index 8dcdab16f..f325a570f 100644
--- a/.github/workflows/test.yml
+++ b/.github/workflows/test.yml
@@ -43,6 +43,11 @@ jobs:
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
+ env:
+ GOOGLE_API_KEY: ${{ secrets.GOOGLE_API_KEY }}
+
- name: Generate coverage report
if: matrix.python-version == '3.11'
run: |
diff --git a/instructor/reask.py b/instructor/reask.py
index 1684d48b4..42da71a6d 100644
--- a/instructor/reask.py
+++ b/instructor/reask.py
@@ -107,6 +107,15 @@ def reask_gemini_tools(
from google.ai import generativelanguage as glm # type: ignore
reask_msgs = [
+ {
+ "role": "model",
+ "parts": [
+ glm.FunctionCall(
+ name=response.parts[0].function_call.name,
+ args=response.parts[0].function_call.args,
+ )
+ ],
+ },
{
"role": "function",
"parts": [
diff --git a/tests/llm/test_gemini/util.py b/tests/llm/test_gemini/util.py
index c19ea9f7f..0c4757151 100644
--- a/tests/llm/test_gemini/util.py
+++ b/tests/llm/test_gemini/util.py
@@ -1,4 +1,4 @@
import instructor
-models: list[str] = ["models/gemini-1.5-flash-latest"]
+models: list[str] = ["models/gemini-1.5-flash-8b"]
modes = [instructor.Mode.GEMINI_TOOLS, instructor.Mode.GEMINI_JSON]
From c031b588a7b314a94d30a855493839357bf8395d Mon Sep 17 00:00:00 2001
From: Ivan Leo
Date: Wed, 25 Dec 2024 10:15:17 +0800
Subject: [PATCH 3/9] fix: bump version
---
pyproject.toml | 4 ++--
1 file changed, 2 insertions(+), 2 deletions(-)
diff --git a/pyproject.toml b/pyproject.toml
index ad7b084f1..f7f01e2a7 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,6 +1,6 @@
[tool.poetry]
name = "instructor"
-version = "1.7.0"
+version = "1.7.1"
description = "structured outputs for llm"
authors = ["Jason Liu "]
license = "MIT"
@@ -90,7 +90,7 @@ mkdocs-minify-plugin = "^0.8.0"
mkdocs-redirects = "^1.2.1"
[tool.poetry.group.anthropic.dependencies]
-anthropic = ">=0.36.2,<0.41.0"
+anthropic = "0.42.0"
[tool.poetry.group.test-docs.dependencies]
fastapi = ">=0.109.2,<0.116.0"
From 535cf5795d0569f357c046e8ec33910e3f9e065a Mon Sep 17 00:00:00 2001
From: Ivan Leo
Date: Wed, 25 Dec 2024 10:40:57 +0800
Subject: [PATCH 4/9] fix: update poetry.lock (#1278)
---
poetry.lock | 2295 +++++++++++++++++++++++-------------------------
pyproject.toml | 2 +-
2 files changed, 1105 insertions(+), 1192 deletions(-)
diff --git a/poetry.lock b/poetry.lock
index 9d744c748..c48a1f2bf 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,99 +1,99 @@
-# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand.
+# This file is automatically @generated by Poetry 1.8.5 and should not be changed by hand.
[[package]]
name = "aiohappyeyeballs"
-version = "2.4.3"
+version = "2.4.4"
description = "Happy Eyeballs for asyncio"
optional = false
python-versions = ">=3.8"
files = [
- {file = "aiohappyeyeballs-2.4.3-py3-none-any.whl", hash = "sha256:8a7a83727b2756f394ab2895ea0765a0a8c475e3c71e98d43d76f22b4b435572"},
- {file = "aiohappyeyeballs-2.4.3.tar.gz", hash = "sha256:75cf88a15106a5002a8eb1dab212525c00d1f4c0fa96e551c9fbe6f09a621586"},
+ {file = "aiohappyeyeballs-2.4.4-py3-none-any.whl", hash = "sha256:a980909d50efcd44795c4afeca523296716d50cd756ddca6af8c65b996e27de8"},
+ {file = "aiohappyeyeballs-2.4.4.tar.gz", hash = "sha256:5fdd7d87889c63183afc18ce9271f9b0a7d32c2303e394468dd45d514a757745"},
]
[[package]]
name = "aiohttp"
-version = "3.11.9"
+version = "3.11.11"
description = "Async http client/server framework (asyncio)"
optional = false
python-versions = ">=3.9"
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description = "Annotate AST trees with source code positions"
optional = false
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description = "Classes Without Boilerplate"
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python-versions = ">=3.8"
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pydantic = ">=1.9.0,<3"
sniffio = "*"
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name = "cohere"
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description = ""
optional = false
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typing_extensions = ">=4.0.0"
-[package.extras]
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version = "0.4.6"
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@@ -825,13 +806,13 @@ test = ["flake8", "isort", "pytest"]
[[package]]
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optional = false
python-versions = "!=2.7.*,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,!=3.7.*,>=3.8"
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description = "A client library for executing notebooks. Formerly nbconvert's ExecutePreprocessor."
optional = false
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+ {file = "yarl-1.18.3-cp39-cp39-win32.whl", hash = "sha256:ac36703a585e0929b032fbaab0707b75dc12703766d0b53486eabd5139ebadd5"},
+ {file = "yarl-1.18.3-cp39-cp39-win_amd64.whl", hash = "sha256:ba87babd629f8af77f557b61e49e7c7cac36f22f871156b91e10a6e9d4f829e9"},
+ {file = "yarl-1.18.3-py3-none-any.whl", hash = "sha256:b57f4f58099328dfb26c6a771d09fb20dbbae81d20cfb66141251ea063bd101b"},
+ {file = "yarl-1.18.3.tar.gz", hash = "sha256:ac1801c45cbf77b6c99242eeff4fffb5e4e73a800b5c4ad4fc0be5def634d2e1"},
]
[package.dependencies]
diff --git a/pyproject.toml b/pyproject.toml
index f7f01e2a7..b2d7d356c 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -90,7 +90,7 @@ mkdocs-minify-plugin = "^0.8.0"
mkdocs-redirects = "^1.2.1"
[tool.poetry.group.anthropic.dependencies]
-anthropic = "0.42.0"
+anthropic = ">=0.36.2,<0.41.0"
[tool.poetry.group.test-docs.dependencies]
fastapi = ">=0.109.2,<0.116.0"
From 415de0af0a0aa63d98b9ad3710fea5b9877ce97c Mon Sep 17 00:00:00 2001
From: Ivan Leo
Date: Thu, 26 Dec 2024 16:08:09 +0800
Subject: [PATCH 5/9] Migrate to UV (#1280)
Migrating from Poetry to UV
---
.github/workflows/pyright.yml | 34 +-
.github/workflows/python-publish.yml | 23 +-
.github/workflows/ruff.yml | 16 +-
.github/workflows/test.yml | 37 +-
.github/workflows/test_docs.yml | 16 +-
README.md | 13 +-
docs/concepts/prompt_caching.md | 62 +-
instructor/client.py | 8 +-
instructor/client_anthropic.py | 12 +-
instructor/client_mistral.py | 11 +-
instructor/distil.py | 2 +-
instructor/reask.py | 6 +-
instructor/retry.py | 24 +-
instructor/utils.py | 12 +
poetry.lock | 5978 -------------------
poetry.toml | 2 -
pyproject.toml | 261 +-
tests/llm/test_anthropic/test_multimodal.py | 17 +-
tests/llm/test_anthropic/test_system.py | 4 +-
uv.lock | 4819 +++++++++++++++
20 files changed, 5094 insertions(+), 6263 deletions(-)
delete mode 100644 poetry.lock
delete mode 100644 poetry.toml
create mode 100644 uv.lock
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.
-
-[[package]]
-name = "aiohappyeyeballs"
-version = "2.4.4"
-description = "Happy Eyeballs for asyncio"
-optional = false
-python-versions = ">=3.8"
-files = [
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-]
-
-[[package]]
-name = "aiohttp"
-version = "3.11.11"
-description = "Async http client/server framework (asyncio)"
-optional = false
-python-versions = ">=3.9"
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-[extras]
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diff --git a/poetry.toml b/poetry.toml
deleted file mode 100644
index ab1033bd3..000000000
--- a/poetry.toml
+++ /dev/null
@@ -1,2 +0,0 @@
-[virtualenvs]
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diff --git a/pyproject.toml b/pyproject.toml
index b2d7d356c..d764422ab 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,134 +1,32 @@
-[tool.poetry]
+[project]
+authors = [
+ {name = "Jason Liu", email = "jason@jxnl.co"},
+]
+license = {text = "MIT"}
+requires-python = "<4.0,>=3.9"
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+ "openai<2.0.0,>=1.52.0",
+ "pydantic<3.0.0,>=2.8.0",
+ "docstring-parser<1.0,>=0.16",
+ "typer<1.0.0,>=0.9.0",
+ "rich<14.0.0,>=13.7.0",
+ "aiohttp<4.0.0,>=3.9.1",
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+ "pydantic-core<3.0.0,>=2.18.0",
+ "jiter<0.9,>=0.6.1",
+ "jinja2<4.0.0,>=3.1.4",
+ "requests<3.0.0,>=2.32.3",
+]
name = "instructor"
-version = "1.7.1"
+version = "1.7.2"
description = "structured outputs for llm"
-authors = ["Jason Liu "]
-license = "MIT"
readme = "README.md"
-packages = [{ include = "instructor" }]
-repository = "https://github.com/jxnl/instructor"
-
-[tool.poetry.dependencies]
-python = "^3.9"
-openai = "^1.52.0"
-pydantic = "^2.8.0"
-docstring-parser = "^0.16"
-typer = ">=0.9.0,<1.0.0"
-rich = "^13.7.0"
-aiohttp = "^3.9.1"
-tenacity = ">=9.0.0,<10.0.0"
-pydantic-core = "^2.18.0"
-jiter = ">=0.6.1,<0.9"
-jinja2 = "^3.1.4"
-requests = "^2.32.3"
-
-# dependency versions for extras
-fastapi = { version = ">=0.109.2,<0.116.0", optional = true }
-redis = { version = "^5.0.1", optional = true }
-diskcache = { version = "^5.6.3", optional = true }
-pandas = { version = "^2.2.0", optional = true }
-tabulate = { version = "^0.9.0", optional = true }
-pydantic_extra_types = { version = "^2.6.0", optional = true }
-litellm = { version = "^1.35.31", optional = true }
-anthropic = { version = ">=0.36.2,<0.41.0", optional = true }
-xmltodict = { version = ">=0.13,<0.15", optional = true }
-groq = { version = ">=0.4.2,<0.14.0", optional = true }
-cohere = { version = "^5.1.8", optional = true }
-mistralai = { version = "^1.0.3", optional = true }
-google-generativeai = { version = "^0.8.2", optional = true }
-google-cloud-aiplatform = { version = "^1.53.0", optional = true }
-jsonref = { version = "^1.1.0", optional = true }
-cerebras_cloud_sdk = { version = "^1.5.0", optional = true }
-fireworks-ai = { version = "^0.15.4", optional = true }
-writer-sdk = { version = "^1.2.0", optional = true }
-
-[tool.poetry.extras]
-anthropic = ["anthropic", "xmltodict"]
-groq = ["groq"]
-cohere = ["cohere"]
-test-docs = [
- "fastapi",
- "redis",
- "diskcache",
- "pandas",
- "tabulate",
- "pydantic_extra_types",
- "litellm",
- "anthropic",
- "groq",
- "cohere",
- "mistralai",
-]
-mistralai = ["mistralai"]
-litellm = ["litellm"]
-google-generativeai = ["google-generativeai"]
-vertexai = ["google-cloud-aiplatform", "jsonref"]
-cerebras_cloud_sdk = ["cerebras_cloud_sdk"]
-fireworks-ai = ["fireworks-ai"]
-writer = ["writer-sdk"]
-
-[tool.poetry.scripts]
-instructor = "instructor.cli.cli:app"
-
-[tool.poetry.group.dev.dependencies]
-pytest = "^8.3.3"
-pytest-asyncio = "^0.24.0"
-coverage = "^7.3.2"
-pyright = "^1.1.360"
-jsonref = "^1.1.0"
-black = "^24.10.0"
-
-[tool.poetry.group.docs.dependencies]
-mkdocs = "^1.4.3"
-mkdocs-material = { extras = ["imaging"], version = "^9.5.9" }
-mkdocstrings = ">=0.26.1,<0.28.0"
-mkdocstrings-python = "^1.11.1"
-pytest-examples = ">=0.0.13,<0.0.16"
-mkdocs-jupyter = ">=0.24.6,<0.26.0"
-mkdocs-rss-plugin = "^1.12.0"
-mkdocs-minify-plugin = "^0.8.0"
-mkdocs-redirects = "^1.2.1"
-[tool.poetry.group.anthropic.dependencies]
-anthropic = ">=0.36.2,<0.41.0"
+[tool.uv]
+package = true
-[tool.poetry.group.test-docs.dependencies]
-fastapi = ">=0.109.2,<0.116.0"
-redis = "^5.0.1"
-diskcache = "^5.6.3"
-pandas = "^2.2.0"
-tabulate = "^0.9.0"
-pydantic_extra_types = "^2.6.0"
-litellm = "^1.35.31"
-anthropic = ">=0.36.2,<0.41.0"
-xmltodict = ">=0.13,<0.15"
-groq = ">=0.4.2,<0.14.0"
-phonenumbers = "^8.13.33"
-cohere = "^5.1.8"
-mistralai = "^1.0.3"
-cerebras_cloud_sdk = "^1.5.0"
-fireworks-ai = "^0.15.4"
-graphviz = "^0.20.3"
-sqlmodel = "^0.0.22"
-trafilatura = ">=1.12.2,<3.0.0"
-pydub = "^0.25.1"
-datasets = "^3.0.1"
-writer-sdk = "^1.2.0"
-
-[tool.poetry.group.litellm.dependencies]
-litellm = "^1.35.31"
-
-[tool.poetry.group.google-generativeai.dependencies]
-google-generativeai = "^0.8.2"
-jsonref = "^1.1.0"
-
-[tool.poetry.group.vertexai.dependencies]
-google-cloud-aiplatform = "^1.53.0"
-jsonref = "^1.1.0"
-
-[build-system]
-requires = ["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 = [
+ "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",
+]
+cerebras_cloud_sdk = [
+ "cerebras-cloud-sdk<2.0.0,>=1.5.0",
+]
+fireworks-ai = [
+ "fireworks-ai<1.0.0,>=0.15.4",
+]
+writer = [
+ "writer-sdk<2.0.0,>=1.2.0",
+]
+
+[project.scripts]
+instructor = "instructor.cli.cli:app"
+
+[dependency-groups]
+dev = [
+ "pytest<9.0.0,>=8.3.3",
+ "pytest-asyncio<1.0.0,>=0.24.0",
+ "coverage<8.0.0,>=7.3.2",
+ "pyright<2.0.0",
+ "jsonref<2.0.0,>=1.1.0",
+ "black<25.0.0,>=24.10.0",
+ "pytest-examples>=0.0.15",
+]
+docs = [
+ "mkdocs<2.0.0,>=1.4.3",
+ "mkdocs-material[imaging]<10.0.0,>=9.5.9",
+ "mkdocstrings<0.28.0,>=0.26.1",
+ "mkdocstrings-python<2.0.0,>=1.11.1",
+ "pytest-examples>=0.0.15",
+ "mkdocs-jupyter<0.26.0,>=0.24.6",
+ "mkdocs-rss-plugin<2.0.0,>=1.12.0",
+ "mkdocs-minify-plugin<1.0.0,>=0.8.0",
+ "mkdocs-redirects<2.0.0,>=1.2.1",
+ "material>=0.1",
+]
+anthropic = [
+ "anthropic==0.42.0",
+]
+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):
@pytest.mark.parametrize("model, mode", product(models, modes))
def test_creation_with_system_cache_anthropic_style(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,
system=[
diff --git a/uv.lock b/uv.lock
new file mode 100644
index 000000000..f10c9adff
--- /dev/null
+++ b/uv.lock
@@ -0,0 +1,4819 @@
+version = 1
+requires-python = ">=3.9, <4.0"
+resolution-markers = [
+ "python_full_version < '3.11'",
+ "python_full_version == '3.11.*'",
+ "python_full_version == '3.12.*'",
+ "python_full_version >= '3.13'",
+]
+
+[[package]]
+name = "aiohappyeyeballs"
+version = "2.4.4"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/7f/55/e4373e888fdacb15563ef6fa9fa8c8252476ea071e96fb46defac9f18bf2/aiohappyeyeballs-2.4.4.tar.gz", hash = "sha256:5fdd7d87889c63183afc18ce9271f9b0a7d32c2303e394468dd45d514a757745", size = 21977 }
+wheels = [
+ { url = "https://files.pythonhosted.org/packages/b9/74/fbb6559de3607b3300b9be3cc64e97548d55678e44623db17820dbd20002/aiohappyeyeballs-2.4.4-py3-none-any.whl", hash = "sha256:a980909d50efcd44795c4afeca523296716d50cd756ddca6af8c65b996e27de8", size = 14756 },
+]
+
+[[package]]
+name = "aiohttp"
+version = "3.11.11"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+ { name = "aiohappyeyeballs" },
+ { name = "aiosignal" },
+ { name = "async-timeout", marker = "python_full_version < '3.11'" },
+ { name = "attrs" },
+ { name = "frozenlist" },
+ { name = "multidict" },
+ { name = "propcache" },
+ { name = "yarl" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/fe/ed/f26db39d29cd3cb2f5a3374304c713fe5ab5a0e4c8ee25a0c45cc6adf844/aiohttp-3.11.11.tar.gz", hash = "sha256:bb49c7f1e6ebf3821a42d81d494f538107610c3a705987f53068546b0e90303e", size = 7669618 }
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+ { url = "https://files.pythonhosted.org/packages/b7/1a/7e4798e9339adc931158c9d69ecc34f5e6791489d469f5e50ec15e35f458/zipp-3.21.0-py3-none-any.whl", hash = "sha256:ac1bbe05fd2991f160ebce24ffbac5f6d11d83dc90891255885223d42b3cd931", size = 9630 },
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From b66dea9462698f5556440d24b73c54d9fbfe5671 Mon Sep 17 00:00:00 2001
From: Ivan Leo
Date: Thu, 26 Dec 2024 16:12:27 +0800
Subject: [PATCH 6/9] fix: add uv build step
---
.github/workflows/python-publish.yml | 3 ++-
1 file changed, 2 insertions(+), 1 deletion(-)
diff --git a/.github/workflows/python-publish.yml b/.github/workflows/python-publish.yml
index 7799c6ccb..6f24e6ee0 100644
--- a/.github/workflows/python-publish.yml
+++ b/.github/workflows/python-publish.yml
@@ -29,7 +29,8 @@ jobs:
run: uv python install 3.10
- name: Install the project
run: uv sync --all-extras
-
+ - name: Build the project
+ run: uv build
- name: Build and publish Python package
run: uv publish
env:
From bf53f1ca2187c2fc6b4ffdd805dc090931d4dce1 Mon Sep 17 00:00:00 2001
From: Ivan Leo
Date: Thu, 26 Dec 2024 17:03:36 +0800
Subject: [PATCH 7/9] fix: add build system
---
pyproject.toml | 4 ++++
1 file changed, 4 insertions(+)
diff --git a/pyproject.toml b/pyproject.toml
index d764422ab..ff4dccf33 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -22,6 +22,10 @@ version = "1.7.2"
description = "structured outputs for llm"
readme = "README.md"
+[build-system]
+requires = ["hatchling"]
+build-backend = "hatchling.build"
+
[tool.uv]
package = true
From e1ae9e34d84d1f1a6b28b4b6a2b5f9ae06f223bc Mon Sep 17 00:00:00 2001
From: Ivan Leo
Date: Thu, 26 Dec 2024 22:24:06 +0800
Subject: [PATCH 8/9] feat: add new article on migrating to uv (#1284)
---
docs/blog/posts/migrating-to-uv.md | 233 +++++++++++++++++++++++++++++
1 file changed, 233 insertions(+)
create mode 100644 docs/blog/posts/migrating-to-uv.md
diff --git a/docs/blog/posts/migrating-to-uv.md b/docs/blog/posts/migrating-to-uv.md
new file mode 100644
index 000000000..30351cbde
--- /dev/null
+++ b/docs/blog/posts/migrating-to-uv.md
@@ -0,0 +1,233 @@
+---
+authors:
+ - ivanleomk
+categories:
+ - UV
+comments: true
+date: 2024-12-26
+description: How we migrated from poetry to uv
+draft: false
+tags:
+ - Migrations
+---
+
+## Why we migrated to uv
+
+One of the main reasons we migrated to uv was to make local development easier. Poetry is great but we wanted to benefit from the features that uv provided such as
+
+- Easier dependency management with automatic caching built in
+- Significantly faster CI/CD compared to poetry, especially when we use the `caching` functionality provided by the Astral team
+- Cargo-style lockfile that makes it easier to adopt new PEP features as they come out
+
+We took around 1-2 days to handle the migration and we're happy with the results. On average, for CI/CD, we've seen a huge speed up for our jobs.
+
+Here are some timings for jobs that I took from our CI/CD runs.
+
+In general I'd say that we saw a ~3x speedup with approximately 67% reduction in time needed for the jobs once we implemented caching for the individual `uv` github actions.
+
+| Job | Time (Poetry) | Time (UV) |
+| ---------------- | --------------------------------------------------------------------------------------------- | ---------------------------------------------------------------------------------------------------- |
+| Ruff Formatting | [1m16s](https://github.com/instructor-ai/instructor/actions/runs/12386936314) | [28s](https://github.com/instructor-ai/instructor/actions/runs/12501982235) (-63%) |
+| Pyright | [3m3s](https://github.com/instructor-ai/instructor/actions/runs/12488572568) | [39s](https://github.com/instructor-ai/instructor/actions/runs/12501974285) (-79%) |
+| Test Python 3.9 | [1m21s](https://github.com/instructor-ai/instructor/actions/runs/12251767751/job/34177033359) | [32s](https://github.com/instructor-ai/instructor/actions/runs/12501974279/job/34880278051) (-61%) |
+| Test Python 3.10 | [1m32s](https://github.com/instructor-ai/instructor/actions/runs/12251767751/job/34177033359) | [33s](https://github.com/instructor-ai/instructor/actions/runs/12501974279/job/34880278299) (-64%) |
+| Test Python 3.11 | [3m19](https://github.com/instructor-ai/instructor/actions/runs/12251767751/job/34177034094) | [2m48s](https://github.com/instructor-ai/instructor/actions/runs/12501974279/job/34880278480) (-16%) |
+
+- Note that for 3.11 I subtracted 1m12 from the time because we added ~60 more tests for gemini so to make it a fair comparison I subtracted the time it took to run the gemini tests.
+
+Most of our heavier jobs like the `Test Python` jobs are running multiple LLM calls in parallel and so the caching speedups of UV have some reduced benefit there.
+
+## How we migrated
+
+The first thing we did was to use an automated tool to convert our poetry lockfile to a uv compatible lockfile. For this, I followed [this thread](https://x.com/tiangolo/status/1839686030007361803) by Sebastian Ramirez on how to do the conversions.
+
+**Step 1** : Use `uv` to run a `pdm` which will migrate your pyprpoejct.toml and make sure to remove all of the `tool.poetry` sections. You can see the initial `pyproject.toml` [here](https://github.com/instructor-ai/instructor/blob/ad046fbca335b9133a704bed1900cda846caaf7c/pyproject.toml).
+
+```
+uvx pdm import pyproject.toml
+```
+
+Note that since you're using `uv`, make sure to also delete the `pdm` sections too and your optional groups
+
+```toml
+# dependency versions for extras
+fastapi = { version = ">=0.109.2,<0.116.0", optional = true }
+redis = { version = "^5.0.1", optional = true }
+diskcache = { version = "^5.6.3", optional = true }
+...
+
+
+[tool.poetry.extras]
+anthropic = ["anthropic", "xmltodict"]
+groq = ["groq"]
+cohere = ["cohere"]
+...
+
+
+[tool.pdm.build]
+includes = ["instructor"]
+[build-system]
+requires = ["pdm-backend"]
+build-backend = "pdm.backend"
+```
+
+**Step 2** : Once you've done so, since you're no longer using `poetry`, you need to update the build system. If you just delete it, you'll end up using `setuptools` by default and that will throw an error if you've declared your license using `license = {text = "MIT"}`. So you need to add the following to your `pyproject.toml`.
+
+This is documented in this UV issue [here](https://github.com/astral-sh/uv/issues/9513) which documents a bug with setuptools not being able to handle Metadata 2.4 keys and so you need to use `hatchling` as your build backend.
+
+```toml
+[build-system]
+requires = ["hatchling"]
+build-backend = "hatchling.build"
+```
+
+**Step 3** : Once you've done so, run uv sync to generate your `uv.lock` file to make sure you don't have any dependency issues.
+
+### New Commands to know
+
+Now that we migrated over from `poetry` to `uv`, there are a few new commands that you'll need to use.
+
+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. If you're writing docs for instance, you would run `uv sync --all-extras --group docs`
+
+2. `uv run ` : This runs the specific command using the virtual environment you've created. When running our CI pipeline, we use this to ensure we're using the right environment for our commands.
+
+## Migrating Your Workflows
+
+We had a few workflows that were using `poetry` and so we needed to update them to use `uv` instead. As seen below there are a few main changes you'll need to make to your relevant workflow
+
+```yaml
+name: Test
+on:
+ pull_request:
+ push:
+ branches:
+ - main
+
+jobs:
+ release:
+ runs-on: ubuntu-latest
+
+ strategy:
+ matrix:
+ python-version: ["3.9", "3.10", "3.11"]
+
+ steps:
+ - uses: actions/checkout@v2
+
+ - name: Set up Python
+ uses: actions/setup-python@v4
+ with:
+ python-version: ${{ matrix.python-version }} # (1)!
+
+ - 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 # (2)!
+
+ - name: Install dependencies
+ run: poetry install --with dev,anthropic # (3)!
+
+ - 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
+ 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 # (4)!
+ 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
+ env:
+ OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
+ ANTHROPIC_API_KEY: ${{ secrets.ANTHROPIC_API_KEY }}
+```
+
+1. We switched over to using `uv` to install python
+
+2. We switch over to using astral's `astral-sh/setup-uv@v4` action to install `uv`
+
+3. Using `uv sync` was significantly faster than poetry install and with the cache I imagine it was even faster
+
+4. Instead of using `poetry run`, we use `uv run` which will start up the python virtual environment with the deps and then run the command you pass in.
+
+We then modified the workflow to the following yml config
+
+```yaml
+name: Test
+on:
+ pull_request:
+ push:
+ branches:
+ - main
+
+jobs:
+ release:
+ runs-on: ubuntu-latest
+
+ strategy:
+ matrix:
+ python-version: ["3.9", "3.10", "3.11"]
+
+ steps:
+ - uses: actions/checkout@v2
+ - name: Install uv
+ uses: astral-sh/setup-uv@v4
+ with:
+ enable-cache: true # (1)!
+
+ - 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: uv run pytest tests/ -k 'not llm and not openai and not gemini and not anthropic and not cohere and not vertexai' # (2)!
+ 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
+ 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: |
+ 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 }}
+```
+
+1. Don't forget to enable the cache so that your jobs are faster
+
+2. Using `uv run` here is important because if you just run `pytest` it won't run the tests in your virtual environment causing them to fail.
+
+And that was basically it! Most of the migration work was really trying to figure out what was causing the tests to fail and then slowly fixing them. We were able to easily upgrade many of our existing dependencies and make sure that everything was working as expected.
+
+We also just did our first release with uv and it was a success!
+
+## Conclusion
+
+We're happy with the results and we're glad to have migrated to uv. It's been a smooth transition and we've been able to see a significant speedup in our CI/CD jobs. We're looking forward to continue using uv moving forward
From 887316c8267df621b985c736a2ebba504edf2399 Mon Sep 17 00:00:00 2001
From: Ivan Leo
Date: Thu, 26 Dec 2024 22:28:39 +0800
Subject: [PATCH 9/9] fix: adding the more tag
---
docs/blog/posts/migrating-to-uv.md | 4 +++-
1 file changed, 3 insertions(+), 1 deletion(-)
diff --git a/docs/blog/posts/migrating-to-uv.md b/docs/blog/posts/migrating-to-uv.md
index 30351cbde..dabe271dc 100644
--- a/docs/blog/posts/migrating-to-uv.md
+++ b/docs/blog/posts/migrating-to-uv.md
@@ -13,7 +13,7 @@ tags:
## Why we migrated to uv
-One of the main reasons we migrated to uv was to make local development easier. Poetry is great but we wanted to benefit from the features that uv provided such as
+We recently migrated to uv from poetry because we wanted to benefit from it's many features such as
- Easier dependency management with automatic caching built in
- Significantly faster CI/CD compared to poetry, especially when we use the `caching` functionality provided by the Astral team
@@ -25,6 +25,8 @@ Here are some timings for jobs that I took from our CI/CD runs.
In general I'd say that we saw a ~3x speedup with approximately 67% reduction in time needed for the jobs once we implemented caching for the individual `uv` github actions.
+
+
| Job | Time (Poetry) | Time (UV) |
| ---------------- | --------------------------------------------------------------------------------------------- | ---------------------------------------------------------------------------------------------------- |
| Ruff Formatting | [1m16s](https://github.com/instructor-ai/instructor/actions/runs/12386936314) | [28s](https://github.com/instructor-ai/instructor/actions/runs/12501982235) (-63%) |