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# llm.ts | ||
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Call 30+ LLMs with a single API. | ||
* Send multiple prompts to multiple LLMs and get the results back in a single response. | ||
* Lightweight and fast (only one dependency: axios) | ||
* Bring your own API keys | ||
* Works anywhere (Node, Deno, browser) | ||
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### Install | ||
#### npm | ||
```bash | ||
npm install llm.ts | ||
``` | ||
#### yarn | ||
```bash | ||
yarn add llm.ts | ||
``` | ||
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### [Example](examples/simple) | ||
```typescript | ||
import { LLM, MODEL } from 'llm.ts'; | ||
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(async function () { | ||
await new LLM({ | ||
apiKeys: { | ||
openAI: process.env.OPENAI_API_KEY ?? '', | ||
cohere: process.env.COHERE_API_KEY ?? '', | ||
huggingface: process.env.HF_API_TOKEN ?? '', | ||
} | ||
}).completion({ | ||
prompt: [ | ||
'Repeat the following sentence: "I am a robot."', | ||
'Repeat the following sentence: "I am a human."', | ||
], | ||
model: [ | ||
// use the model name | ||
'text-ada-001', | ||
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// or specify a specific provider | ||
'cohere/command-nightly', | ||
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// or use enums to avoid typos | ||
MODEL.HF_GPT2, | ||
], | ||
}).then(resp => { | ||
console.log(resp); | ||
}) | ||
})() | ||
``` | ||
```json | ||
{ | ||
"created": 1683079463217, | ||
"choices": [ | ||
{ | ||
"text": "\n\nI am a robot.", | ||
"index": 0, | ||
"model": "text-ada-001", | ||
"promptIndex": 0, | ||
"created": 1683079462 | ||
}, | ||
{ | ||
"text": "\n\nI am a human.", | ||
"index": 1, | ||
"model": "text-ada-001", | ||
"promptIndex": 1, | ||
"created": 1683079462 | ||
}, | ||
{ | ||
"text": "\nI am a robot.", | ||
"index": 2, | ||
"model": "command-nightly", | ||
"promptIndex": 0, | ||
"created": 1683079463217 | ||
}, | ||
{ | ||
"text": "\nI am a human.", | ||
"index": 3, | ||
"model": "command-nightly", | ||
"promptIndex": 1, | ||
"created": 1683079463216 | ||
}, | ||
{ | ||
"text": " \"Is that your question? I was expecting the answer.\" \"Then why do you think you are being asked!\" 1. \"What are you?\" \"What are you?\" \"Why are you", | ||
"index": 4, | ||
"model": "gpt2", | ||
"promptIndex": 0, | ||
"created": 1683079463088 | ||
}, | ||
{ | ||
"text": " — this quote is most often cited in reference to the Qur'an. (e.g. Ibn `Allaahu `udayyyih, Al-Rai`an, Al", | ||
"index": 5, | ||
"model": "gpt2", | ||
"promptIndex": 1, | ||
"created": 1683079463091 | ||
} | ||
] | ||
} | ||
``` | ||
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### Models supported (want to add one, open a PR!): | ||
* text-ada-001 | ||
* text-babbage-001 | ||
* text-curie-001 | ||
* text-davinci-002 | ||
* text-davinci-003 | ||
* cohere-command | ||
* cohere-command-nightly | ||
* cohere-command-light | ||
* cohere-command-light-nightly | ||
* gpt2 | ||
* bloom-1b | ||
* bloom-3b | ||
* bloom-7b1 | ||
* llama-7b | ||
* llama-13b | ||
* llama-30b | ||
* llama-65b | ||
* gptj-6b | ||
* gptj-2.7b | ||
* gpt-neo-125m | ||
* gpt-neo-1.3b | ||
* gpt-neo-20b | ||
* cerebras-gpt-111m | ||
* cerebras-gpt-1.3b | ||
* cerebras-gpt-2.7b | ||
* santacoder | ||
* codegen-350m | ||
* codegen-2b | ||
* stablelm-tuned-3b | ||
* stablelm-tuned-7b | ||
* pythia-70m | ||
* pythia-160m | ||
* pythia-12b | ||
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### Hosting providers supported (want to add one, open a PR!): | ||
* OpenAI | ||
* Cohere | ||
* HuggingFace | ||
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### License | ||
MIT |