Firebase Genkit <> Anthropic AI Plugin
Anthropic AI Community Plugin for Google Firebase Genkit
> [!WARNING]
> **This plugin has been merged into the core Genkit distribution.** Please use the official Anthropic plugins instead:
>
> - **Anthropic Plugin**: `@genkit-ai/anthropic`
`genkitx-anthropic` is a community plugin for using Anthropic AI and all its supported models with [Genkit](https://github.com/firebase/genkit).
This Genkit plugin allows to use Anthropic AI models through their official APIs.
If you want to use Anthropic AI models through Google Vertex AI, please refer
to the [official Vertex AI plugin](https://www.npmjs.com/package/@genkit-ai/vertexai).
## Supported models
The plugin supports the most recent Anthropic models:
**Claude 4.5 Opus**, **Claude 4.5 Sonnet**, **Claude 4.5 Haiku**, **Claude 4 Opus**, **Claude 4 Sonnet**, **Claude 3.7 Sonnet**, **Claude 3.5 Sonnet**, **Claude 3.5 Haiku**, **Claude 3 Opus**, **Claude 3 Sonnet**, and **Claude 3 Haiku**.
## Installation
Install the plugin in your project with your favorite package manager:
- `npm install genkitx-anthropic`
- `yarn add genkitx-anthropic`
## Usage
### Initialize
```typescript
import { genkit } from 'genkit';
import { anthropic, claude35Sonnet } from 'genkitx-anthropic';
const ai = genkit({
plugins: [anthropic({ apiKey: process.env.ANTHROPIC_API_KEY })],
// specify a default model for generate here if you wish:
model: claude35Sonnet,
});
```
### Basic examples
The simplest way to generate text is by using the `generate` method:
```typescript
const response = await ai.generate({
model: claude3Haiku, // model imported from genkitx-anthropic
prompt: 'Tell me a joke.',
});
console.log(response.text);
```
### Multi-modal prompt
```typescript
// ...intialize Genkit instance (as shown above)...
const response = await ai.generate({
prompt: [
{ text: 'What animal is in the photo?' },
{ media: { url: imageUrl } },
],
config: {
// control of the level of visual detail when processing image embeddings
// Low detail level also decreases the token usage
visualDetailLevel: 'low',
},
});
console.log(response.text);
```
### Within a flow
```typescript
import { z } from 'genkit';
// ...initialize Genkit instance (as shown above)...
export const jokeFlow = ai.defineFlow(
{
name: 'jokeFlow',
inputSchema: z.string(),
outputSchema: z.string(),
},
async (subject) => {
const llmResponse = await ai.generate({
prompt: `tell me a joke about ${subject}`,
});
return llmResponse.text;
}
);
```
## Contributing
Want to contribute to the project? That's awesome! Head over to our [Contribution Guidelines](CONTRIBUTING.md).
## Need support?
> \[!NOTE\]\
> This repository depends on Google's Firebase Genkit. For issues and questions related to Genkit, please refer to instructions available in [Genkit's repository](https://github.com/firebase/genkit).
Reach out by opening a discussion on [Github Discussions](https://github.com/BloomLabsInc/genkitx-openai/discussions).
## Credits
This plugin is proudly maintained by the team at [**Bloom Labs Inc**](https://github.com/BloomLabsInc). 🔥
## License
This project is licensed under the [Apache 2.0 License](https://github.com/BloomLabsInc/genkit-plugins/blob/main/LICENSE).
