53fa083efd
* Renamed `arcade_arithmetic` to `arcade_math` * Deleted `arcade_github` toolkit for the next release. This will be reintroduced later. * Added 5 tools to `arcade_x` toolkit - post_tweet - delete_tweet_by_id - search_recent_tweets_by_username - search_recent_tweets_by_keywords - lookup_single_user_by_username
76 lines
3.8 KiB
Markdown
76 lines
3.8 KiB
Markdown
[](https://img.shields.io/github/v/release/arcadeai/arcade-ai)
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[](https://github.com/arcadeai/arcade-ai/actions/workflows/main.yml?query=branch%3Amain)
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[](https://codecov.io/gh/arcadeai/arcade-ai)
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[](https://img.shields.io/github/commit-activity/m/arcadeai/arcade-ai)
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[](https://img.shields.io/github/license/arcadeai/arcade-ai)
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# Arcade AI
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Arcade AI is the developer platform for building tools designed to be used with language models. With Arcade, developers can create, deploy, and easily integrate new tools with language models to enhance their capabilities.
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## `arcade-ai`
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The `arcade-ai` package contains:
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- `arcade` CLI
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- `arcade.sdk` Tool SDK
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- `arcade.actor` serving tools with FastAPI, Flask, or Django
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## Installation
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To install the Arcade AI package, execute the following command:
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```bash
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pip install arcade-ai
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```
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or install from source:
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```bash
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git clone https://github.com/arcadeai/arcade-ai.git
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cd arcade-ai
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pip install poetry
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poetry install
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```
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## First steps
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Follow these steps if you've cloned the repo and installed the package from source:
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```bash
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cd examples/search
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poetry install
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arcade show arcade_search
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```
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This will show an output that looks like
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┏━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━┓
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┃ Name ┃ Description ┃ Toolkit ┃ Version ┃
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┡━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━┩
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│ SearchGoogle │ Search Google using SerpAPI and return organic search results. │ search │ 0.1.0 │
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└──────────────┴────────────────────────────────────────────────────────────────┴───────────┴─────────┘
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Predict the parameters with a model and run the tool with the predicted parameters. Arcade adds the `execute` choice to the tool, which allows you to run the tool with the predicted parameters in a single request.
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```bash
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> arcade run arcade_search "who is Sam Partee?" --choice "execute"
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Running tool: SearchGoogle with params: {'query': 'Sam Partee'}
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[{"position": 1, "title": "Sam Partee (@SamPartee) / X", "link": "https://twitter.com/sampartee", "redirect_link":
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"https://www.google.com/url?sa=t&source=web&rct=j&opi=89978449&url=https://twitter.com/sampartee&ved=2ahUKEwjBwKiz3b6HAxV1VTABHXL8BZQQFnoECAYQAQ",
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"displayed_link": "1.5K+ followers", "thumbnail":
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.....
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.. (truncated)
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```
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Arcade also adds the `predict` choice to the tool, which allows you to predict the parameters with a model.
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```bash
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> arcade run arcade_search "who is Sam Partee?" --choice "predict" # also the default
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Running tool: SearchGoogle with params: {'query': 'Sam Partee'}
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Sam Partee is a CTO, Co-founder of Arcade AI and former Machine Learning Engineer at companies like RedisInc and HPE_Cray. They have
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expertise in AI/ML, vector search, Python, HPC, and are a sports fan.
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```
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