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https://github.com/transitive-bullshit/agentic
AI agent stdlib that works with any LLM and TypeScript AI SDK.
https://github.com/transitive-bullshit/agentic
agents ai llms openai
Last synced: 5 days ago
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AI agent stdlib that works with any LLM and TypeScript AI SDK.
- Host: GitHub
- URL: https://github.com/transitive-bullshit/agentic
- Owner: transitive-bullshit
- License: mit
- Created: 2022-12-03T00:05:09.000Z (almost 2 years ago)
- Default Branch: main
- Last Pushed: 2024-10-22T05:23:58.000Z (14 days ago)
- Last Synced: 2024-10-30T01:38:44.230Z (6 days ago)
- Topics: agents, ai, llms, openai
- Language: TypeScript
- Homepage: https://agentic.so
- Size: 5.47 MB
- Stars: 16,412
- Watchers: 138
- Forks: 2,138
- Open Issues: 13
-
Metadata Files:
- Readme: readme.md
- Funding: .github/funding.yml
- License: license
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README
AI agent stdlib that works with any LLM and TypeScript AI SDK.
# Agentic
- [Intro](#intro)
- [Docs](#docs)
- [AI SDKs](#ai-sdks)
- [Vercel AI SDK](#vercel-ai-sdk)
- [LangChain](#langchain)
- [LlamaIndex](#llamaindex)
- [Firebase Genkit](#firebase-genkit)
- [Dexa Dexter](#dexa-dexter)
- [OpenAI](#openai)
- [Tools](#tools)
- [Contributors](#contributors)
- [License](#license)
## Intro
Agentic is a **standard library of AI functions / tools** which are **optimized for both normal TS-usage as well as LLM-based usage**. Agentic works with all of the major TS AI SDKs (LangChain, LlamaIndex, Vercel AI SDK, OpenAI SDK, etc).
Agentic clients like `WeatherClient` can be used as normal TS classes:
```ts
import { WeatherClient } from '@agentic/stdlib'
// Requires `process.env.WEATHER_API_KEY` (free from weatherapi.com)
const weather = new WeatherClient()
const result = await weather.getCurrentWeather({
q: 'San Francisco'
})
console.log(result)
```
Or you can use these clients as **LLM-based tools** where the LLM decides when and how to invoke the underlying functions for you.
This works across all of the major AI SDKs via adapters. Here's an example using [Vercel's AI SDK](https://github.com/vercel/ai):
```ts
// sdk-specific imports
import { openai } from '@ai-sdk/openai'
import { generateText } from 'ai'
import { createAISDKTools } from '@agentic/ai-sdk'
// sdk-agnostic imports
import { WeatherClient } from '@agentic/stdlib'
const weather = new WeatherClient()
const result = await generateText({
model: openai('gpt-4o-mini'),
// this is the key line which uses the `@agentic/ai-sdk` adapter
tools: createAISDKTools(weather),
toolChoice: 'required',
prompt: 'What is the weather in San Francisco?'
})
console.log(result.toolResults[0])
```
You can use our standard library of thoroughly tested AI functions with your favorite AI SDK – without having to write any glue code!
Here's a slightly more complex example which uses multiple clients and selects a subset of their functions using the `AIFunctionSet.pick` method:
```ts
// sdk-specific imports
import { ChatModel, createAIRunner } from '@dexaai/dexter'
import { createDexterFunctions } from '@agentic/dexter'
// sdk-agnostic imports
import { PerigonClient, SerperClient } from '@agentic/stdlib'
async function main() {
// Perigon is a news API and Serper is a Google search API
const perigon = new PerigonClient()
const serper = new SerperClient()
const runner = createAIRunner({
chatModel: new ChatModel({
params: { model: 'gpt-4o-mini', temperature: 0 }
}),
functions: createDexterFunctions(
perigon.functions.pick('search_news_stories'),
serper
),
systemMessage: 'You are a helpful assistant. Be as concise as possible.'
})
const result = await runner(
'Summarize the latest news stories about the upcoming US election.'
)
console.log(result)
}
```
## Docs
Full docs are available at [agentic.so](https://agentic.so).
## AI SDKs
### Vercel AI SDK
[Agentic adapter docs for the Vercel AI SDK](https://agentic.so/sdks/ai-sdk)
### LangChain
[Agentic adapter docs for LangChain](https://agentic.so/sdks/langchain)
### LlamaIndex
[Agentic adapter docs for LlamaIndex](https://agentic.so/sdks/llamaindex)
### Firebase Genkit
[Agentic adapter docs for Genkit](https://agentic.so/sdks/genkit)
### Dexa Dexter
[Agentic adapter docs for Dexter](https://agentic.so/sdks/dexter)
### OpenAI
[Agentic adapter docs for OpenAI](https://agentic.so/sdks/openai)
### GenAIScript
[Agentic support in GenAIScript](https://agentic.so/sdks/genaiscript)
## Tools
| Service / Tool | Package | Docs | Description |
| ------------------------------------------------------------------------ | --------------------------- | ------------------------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| [Bing](https://www.microsoft.com/en-us/bing/apis/bing-web-search-api) | `@agentic/bing` | [docs](https://agentic.so/tools/bing) | Bing web search. |
| [Calculator](https://github.com/josdejong/mathjs) | `@agentic/calculator` | [docs](https://agentic.so/tools/calculator) | Basic calculator for simple mathematical expressions. |
| [Clearbit](https://dashboard.clearbit.com/docs) | `@agentic/clearbit` | [docs](https://agentic.so/tools/clearbit) | Resolving and enriching people and company data. |
| [Dexa](https://dexa.ai) | `@agentic/dexa` | [docs](https://agentic.so/tools/dexa) | Answers questions from the world's best podcasters. |
| [Diffbot](https://docs.diffbot.com) | `@agentic/diffbot` | [docs](https://agentic.so/tools/diffbot) | Web page classification and scraping; person and company data enrichment. |
| [E2B](https://e2b.dev) | `@agentic/e2b` | [docs](https://agentic.so/tools/e2b) | Hosted Python code intrepreter sandbox which is really useful for data analysis, flexible code execution, and advanced reasoning on-the-fly. |
| [Exa](https://docs.exa.ai) | `@agentic/exa` | [docs](https://agentic.so/tools/exa) | Web search tailored for LLMs. |
| [Firecrawl](https://www.firecrawl.dev) | `@agentic/firecrawl` | [docs](https://agentic.so/tools/firecrawl) | Website scraping and structured data extraction. |
| [HackerNews](https://github.com/HackerNews/API) | `@agentic/hacker-news` | [docs](https://agentic.so/tools/hacker-news) | Official HackerNews API. |
| [Hunter](https://hunter.io) | `@agentic/hunter` | [docs](https://agentic.so/tools/hunter) | Email finder, verifier, and enrichment. |
| [Jina](https://jina.ai/reader) | `@agentic/jina` | [docs](https://agentic.so/tools/jina) | URL scraper and web search. |
| [Midjourney](https://www.imagineapi.dev) | `@agentic/midjourney` | [docs](https://agentic.so/tools/midjourney) | Unofficial Midjourney client for generative images. |
| [Novu](https://novu.co) | `@agentic/novu` | [docs](https://agentic.so/tools/novu) | Sending notifications (email, SMS, in-app, push, etc). |
| [People Data Labs](https://www.peopledatalabs.com) | `@agentic/people-data-labs` | [docs](https://agentic.so/tools/people-data-labs) | People & company data (WIP). |
| [Perigon](https://www.goperigon.com/products/news-api) | `@agentic/perigon` | [docs](https://agentic.so/tools/perigon) | Real-time news API and web content data from 140,000+ sources. Structured and enriched by AI, primed for LLMs. |
| [Polygon](https://polygon.io) | `@agentic/polygon` | [docs](https://agentic.so/tools/polygon) | Stock market and company financial data. |
| [PredictLeads](https://predictleads.com) | `@agentic/predict-leads` | [docs](https://agentic.so/tools/predict-leads) | In-depth company data including signals like fundraising events, hiring news, product launches, technologies used, etc. |
| [Proxycurl](https://nubela.co/proxycurl) | `@agentic/proxycurl` | [docs](https://agentic.so/tools/proxycurl) | People and company data from LinkedIn & Crunchbase. |
| [Searxng](https://docs.searxng.org) | `@agentic/searxng` | [docs](https://agentic.so/tools/searxng) | OSS meta search engine capable of searching across many providers like Reddit, Google, Brave, Arxiv, Genius, IMDB, Rotten Tomatoes, Wikidata, Wolfram Alpha, YouTube, GitHub, [etc](https://docs.searxng.org/user/configured_engines.html#configured-engines). |
| [SerpAPI](https://serpapi.com/search-api) | `@agentic/serpapi` | [docs](https://agentic.so/tools/serpapi) | Lightweight wrapper around SerpAPI for Google search. |
| [Serper](https://serper.dev) | `@agentic/serper` | [docs](https://agentic.so/tools/serper) | Lightweight wrapper around Serper for Google search. |
| [Slack](https://api.slack.com/docs) | `@agentic/slack` | [docs](https://agentic.so/tools/slack) | Send and receive Slack messages. |
| [SocialData](https://socialdata.tools) | `@agentic/social-data` | [docs](https://agentic.so/tools/social-data) | Unofficial Twitter / X client (readonly) which is much cheaper than the official Twitter API. |
| [Tavily](https://tavily.com) | `@agentic/tavily` | [docs](https://agentic.so/tools/tavily) | Web search API tailored for LLMs. |
| [Twilio](https://www.twilio.com/docs/conversations/api) | `@agentic/twilio` | [docs](https://agentic.so/tools/twilio) | Twilio conversation API to send and receive SMS messages. |
| [Twitter](https://developer.x.com/en/docs/twitter-api) | `@agentic/twitter` | [docs](https://agentic.so/tools/twitter) | Basic Twitter API methods for fetching users, tweets, and searching recent tweets. Includes support for plan-aware rate-limiting. Uses [Nango](https://www.nango.dev) for OAuth support. |
| [Weather](https://www.weatherapi.com) | `@agentic/weather` | [docs](https://agentic.so/tools/weather) | Basic access to current weather data based on location. |
| [Wikidata](https://www.wikidata.org/wiki/Wikidata:Data_access) | `@agentic/wikidata` | [docs](https://agentic.so/tools/wikidata) | Basic Wikidata client. |
| [Wikipedia](https://www.mediawiki.org/wiki/API) | `@agentic/wikipedia` | [docs](https://agentic.so/tools/wikipedia) | Wikipedia page search and summaries. |
| [Wolfram Alpha](https://products.wolframalpha.com/llm-api/documentation) | `@agentic/wolfram-alpha` | [docs](https://agentic.so/tools/wolfram-alpha) | Wolfram Alpha LLM API client for answering computational, mathematical, and scientific questions. |
For more details, see the [docs](https://agentic.so).
## Contributors
- [Travis Fischer](https://x.com/transitive_bs)
- [David Zhang](https://x.com/dzhng)
- [Philipp Burckhardt](https://x.com/burckhap)
- And all of the [amazing OSS contributors](https://github.com/transitive-bullshit/agentic/graphs/contributors)!
## License
MIT © [Travis Fischer](https://x.com/transitive_bs)
To stay up to date or learn more, follow [@transitive_bs](https://x.com/transitive_bs) on Twitter.