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Initial working prototype, refs #1

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Simon Willison
2024-03-04 07:26:18 -08:00
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name: Publish Python Package
on:
release:
types: [created]
permissions:
contents: read
jobs:
test:
runs-on: ubuntu-latest
strategy:
matrix:
python-version: ["3.7", "3.8", "3.9", "3.10", "3.11"]
steps:
- uses: actions/checkout@v4
- name: Set up Python ${{ matrix.python-version }}
uses: actions/setup-python@v5
with:
python-version: ${{ matrix.python-version }}
cache: pip
cache-dependency-path: pyproject.toml
- name: Install dependencies
run: |
pip install -e '.[test]'
- name: Run tests
run: |
pytest
deploy:
runs-on: ubuntu-latest
needs: [test]
environment: release
permissions:
id-token: write
steps:
- uses: actions/checkout@v4
- name: Set up Python
uses: actions/setup-python@v5
with:
python-version: "3.11"
cache: pip
cache-dependency-path: pyproject.toml
- name: Install dependencies
run: |
pip install setuptools wheel build
- name: Build
run: |
python -m build
- name: Publish
uses: pypa/gh-action-pypi-publish@release/v1

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name: Test
on: [push, pull_request]
permissions:
contents: read
jobs:
test:
runs-on: ubuntu-latest
strategy:
matrix:
python-version: ["3.7", "3.8", "3.9", "3.10", "3.11"]
steps:
- uses: actions/checkout@v4
- name: Set up Python ${{ matrix.python-version }}
uses: actions/setup-python@v5
with:
python-version: ${{ matrix.python-version }}
cache: pip
cache-dependency-path: pyproject.toml
- name: Install dependencies
run: |
pip install -e '.[test]'
- name: Run tests
run: |
pytest

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.venv
__pycache__/
*.py[cod]
*$py.class
venv
.eggs
.pytest_cache
*.egg-info
.DS_Store
.vscode
dist
build

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# llm-claude-3
[![PyPI](https://img.shields.io/pypi/v/llm-claude-3.svg)](https://pypi.org/project/llm-claude-3/)
[![Changelog](https://img.shields.io/github/v/release/simonw/llm-claude-3?include_prereleases&label=changelog)](https://github.com/simonw/llm-claude-3/releases)
[![Tests](https://github.com/simonw/llm-claude-3/actions/workflows/test.yml/badge.svg)](https://github.com/simonw/llm-claude-3/actions/workflows/test.yml)
[![License](https://img.shields.io/badge/license-Apache%202.0-blue.svg)](https://github.com/simonw/llm-claude-3/blob/main/LICENSE)
LLM access to Claude 3 by Anthropic
## Installation
Install this plugin in the same environment as [LLM](https://llm.datasette.io/).
```bash
llm install llm-claude-3
```
## Usage
First, set an API key for Claude 3:
```bash
llm keys set claude
# Paste key here
```
Run `llm models` to list the models, and `llm models --options` to include a list of their options.
Run prompts like this:
```bash
llm -m claude-3-opus 'Fun facts about pelicans'
llm -m claude-3-sonnet 'Fun facts about walruses'
```
## Development
To set up this plugin locally, first checkout the code. Then create a new virtual environment:
```bash
cd llm-claude-3
python3 -m venv venv
source venv/bin/activate
```
Now install the dependencies and test dependencies:
```bash
llm install -e '.[test]'
```
To run the tests:
```bash
pytest
```

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llm_claude_3.py Normal file
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from anthropic import Anthropic
import llm
from pydantic import Field, field_validator
from typing import Optional, List
@llm.hookimpl
def register_models(register):
# https://docs.anthropic.com/claude/docs/models-overview
register(ClaudeMessages("claude-3-opus-20240229"), aliases=("claude-3-opus",))
register(ClaudeMessages("claude-3-sonnet-20240229"), aliases=("claude-3-sonnet",))
class ClaudeMessages(llm.Model):
needs_key = "claude"
key_env_var = "ANTHROPIC_API_KEY"
can_stream = True
class Options(llm.Options):
max_tokens: int = Field(
description="The maximum number of tokens to generate before stopping",
default=4096,
)
user_id: Optional[str] = Field(
description="An external identifier for the user who is associated with the request",
default=None,
)
def __init__(self, model_id):
self.model_id = model_id
def build_messages(self, prompt, conversation) -> List[dict]:
messages = []
if conversation:
for response in conversation.responses:
messages.extend(
[
{
"role": "user",
"content": response.prompt.prompt,
},
{"role": "assistant", "content": response.text()},
]
)
messages.append({"role": "user", "content": prompt.prompt})
return messages
def execute(self, prompt, stream, response, conversation):
client = Anthropic(api_key=self.get_key())
kwargs = {
"model": self.model_id,
"messages": self.build_messages(prompt, conversation),
"max_tokens": prompt.options.max_tokens,
}
if prompt.options.user_id:
kwargs["metadata"] = {"user_id": prompt.options.user_id}
if prompt.system:
kwargs["system"] = prompt.system
usage = None
if stream:
with client.messages.stream(**kwargs) as stream:
for text in stream.text_stream:
yield text
# This records usage and other data:
response.response_json = stream.get_final_message().model_dump()
else:
completion = client.messages.create(**kwargs)
yield completion.content[0].text
response.response_json = completion.model_dump()
def __str__(self):
return "Anthropic Messages: {}".format(self.model_id)

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[project]
name = "llm-claude-3"
version = "0.1"
description = "LLM access to Claude 3 by Anthropic"
readme = "README.md"
authors = [{name = "Simon Willison"}]
license = {text = "Apache-2.0"}
classifiers = [
"License :: OSI Approved :: Apache Software License"
]
dependencies = [
"llm",
"llm-claude",
"anthropic>=0.17.0",
]
[project.urls]
Homepage = "https://github.com/simonw/llm-claude-3"
Changelog = "https://github.com/simonw/llm-claude-3/releases"
Issues = "https://github.com/simonw/llm-claude-3/issues"
CI = "https://github.com/simonw/llm-claude-3/actions"
[project.entry-points.llm]
claude_3 = "llm_claude_3"
[project.optional-dependencies]
test = ["pytest"]

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from llm.plugins import pm
def test_plugin_is_installed():
names = [mod.__name__ for mod in pm.get_plugins()]
assert "llm_claude_3" in names