| Name | llm-anthropic JSON |
| Version |
0.11
JSON |
| download |
| home_page | None |
| Summary | LLM access to models by Anthropic, including the Claude series |
| upload_time | 2024-12-17 20:43:30 |
| maintainer | None |
| docs_url | None |
| author | Simon Willison |
| requires_python | None |
| license | Apache-2.0 |
| keywords |
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
# llm-anthropic
[](https://pypi.org/project/llm-anthropic/)
[](https://github.com/simonw/llm-anthropic/releases)
[](https://github.com/simonw/llm-anthropic/actions/workflows/test.yml)
[](https://github.com/simonw/llm-anthropic/blob/main/LICENSE)
LLM access to models by Anthropic, including the Claude series
## Installation
Install this plugin in the same environment as [LLM](https://llm.datasette.io/).
```bash
llm install llm-anthropic
```
## Usage
First, set [an API key](https://console.anthropic.com/settings/keys) for Anthropic:
```bash
llm keys set anthropic
# Paste key here
```
You can also set the key in the environment variable `ANTHROPIC_API_KEY`
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 anthropic/claude-3.5-sonnet 'Fun facts about pelicans'
llm -m anthropic/claude-3.5-haiku 'Fun facts about armadillos'
llm -m anthropic/claude-3-opus 'Fun facts about squirrels'
```
Images are supported too, for models other than Claude 3.5 Haiku:
```bash
llm -m anthropic/claude-3.5-sonnet 'describe this image' -a https://static.simonwillison.net/static/2024/pelicans.jpg
llm -m anthropic/claude-3-haiku 'extract text' -a page.png
```
Claude 3.5 Sonnet can handle PDF files:
```bash
llm -m anthropic/claude-3.5-sonnet 'extract text' -a page.pdf
```
The plugin sets up `claude-3.5-sonnet` and similar as aliases, usable like this:
```bash
llm -m claude-3.5-sonnet 'Fun facts about pelicans'
```
## Development
To set up this plugin locally, first checkout the code. Then create a new virtual environment:
```bash
cd llm-anthropic
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
```
This project uses [pytest-recording](https://github.com/kiwicom/pytest-recording) to record Anthropic API responses for the tests.
If you add a new test that calls the API you can capture the API response like this:
```bash
PYTEST_ANTHROPIC_API_KEY="$(llm keys get claude)" pytest --record-mode once
```
You will need to have stored a valid Anthropic API key using this command first:
```bash
llm keys set claude
# Paste key here
```
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"description": "# llm-anthropic\n\n[](https://pypi.org/project/llm-anthropic/)\n[](https://github.com/simonw/llm-anthropic/releases)\n[](https://github.com/simonw/llm-anthropic/actions/workflows/test.yml)\n[](https://github.com/simonw/llm-anthropic/blob/main/LICENSE)\n\nLLM access to models by Anthropic, including the Claude series\n\n## Installation\n\nInstall this plugin in the same environment as [LLM](https://llm.datasette.io/).\n```bash\nllm install llm-anthropic\n```\n\n## Usage\n\nFirst, set [an API key](https://console.anthropic.com/settings/keys) for Anthropic:\n```bash\nllm keys set anthropic\n# Paste key here\n```\n\nYou can also set the key in the environment variable `ANTHROPIC_API_KEY`\n\nRun `llm models` to list the models, and `llm models --options` to include a list of their options.\n\nRun prompts like this:\n```bash\nllm -m anthropic/claude-3.5-sonnet 'Fun facts about pelicans'\nllm -m anthropic/claude-3.5-haiku 'Fun facts about armadillos'\nllm -m anthropic/claude-3-opus 'Fun facts about squirrels'\n```\nImages are supported too, for models other than Claude 3.5 Haiku:\n```bash\nllm -m anthropic/claude-3.5-sonnet 'describe this image' -a https://static.simonwillison.net/static/2024/pelicans.jpg\nllm -m anthropic/claude-3-haiku 'extract text' -a page.png\n```\nClaude 3.5 Sonnet can handle PDF files:\n```bash\nllm -m anthropic/claude-3.5-sonnet 'extract text' -a page.pdf\n```\nThe plugin sets up `claude-3.5-sonnet` and similar as aliases, usable like this:\n```bash\nllm -m claude-3.5-sonnet 'Fun facts about pelicans'\n```\n\n## Development\n\nTo set up this plugin locally, first checkout the code. Then create a new virtual environment:\n```bash\ncd llm-anthropic\npython3 -m venv venv\nsource venv/bin/activate\n```\nNow install the dependencies and test dependencies:\n```bash\nllm install -e '.[test]'\n```\nTo run the tests:\n```bash\npytest\n```\n\nThis project uses [pytest-recording](https://github.com/kiwicom/pytest-recording) to record Anthropic API responses for the tests.\n\nIf you add a new test that calls the API you can capture the API response like this:\n```bash\nPYTEST_ANTHROPIC_API_KEY=\"$(llm keys get claude)\" pytest --record-mode once\n```\nYou will need to have stored a valid Anthropic API key using this command first:\n```bash\nllm keys set claude\n# Paste key here\n```\n",
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