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--- |
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license: apache-2.0 |
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🚀 Try it out on [Colab](https://colab.research.google.com/drive/16M5J2H9F8YQora_W2PDnp120slZH-Mqd?usp=sharing) |
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📣 Read more in our [OpenFunctions blog release](https://gorilla.cs.berkeley.edu/blogs/4_open_functions.html) |
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## Introduction |
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Gorilla OpenFunctions extends Large Language Model(LLM) Chat Completion feature to formulate |
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executable APIs call given natural language instructions and API context. |
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## Models Available |
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|model | functionality| |
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|gorilla-openfunctions-v0 | Given a function, and user intent, returns properly formatted json with the right arguments| |
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|gorilla-openfunctions-v1 | + Parallel functions, and can choose between functions| |
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## Example Usage |
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1. OpenFunctions is compatible with OpenAI Functions |
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```bash |
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!pip install openai==0.28.1 |
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``` |
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2. Point to Gorilla hosted servers |
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```python |
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import openai |
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def get_gorilla_response(prompt="Call me an Uber ride type \"Plus\" in Berkeley at zipcode 94704 in 10 minutes", model="gorilla-openfunctions-v0", functions=[]): |
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openai.api_key = "EMPTY" |
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openai.api_base = "http://luigi.millennium.berkeley.edu:8000/v1" |
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try: |
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completion = openai.ChatCompletion.create( |
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model="gorilla-openfunctions-v1", |
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temperature=0.0, |
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messages=[{"role": "user", "content": prompt}], |
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functions=functions, |
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) |
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return completion.choices[0].message.content |
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except Exception as e: |
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print(e, model, prompt) |
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``` |
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3. Pass the user argument and set of functions, Gorilla OpenFunctions returns a fully formatted json |
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```python |
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query = "Call me an Uber ride type \"Plus\" in Berkeley at zipcode 94704 in 10 minutes" |
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functions = [ |
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{ |
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"name": "Uber Carpool", |
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"api_name": "uber.ride", |
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"description": "Find suitable ride for customers given the location, type of ride, and the amount of time the customer is willing to wait as parameters", |
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"parameters": [{"name": "loc", "description": "location of the starting place of the uber ride"}, {"name":"type", "enum": ["plus", "comfort", "black"], "description": "types of uber ride user is ordering"}, {"name": "time", "description": "the amount of time in minutes the customer is willing to wait"}] |
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} |
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] |
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get_gorilla_response(query, functions=functions) |
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``` |
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4. Expected output |
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```bash |
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uber.ride(loc="berkeley", type="plus", time=10) |
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``` |
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## Contributing |
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All the models, and data used to train the models is released under Apache 2.0. |
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Gorilla is an open source effort from UC Berkeley and we welcome contributors. |
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Please email us your comments, criticism, and questions. More information about the project can be found at [https://gorilla.cs.berkeley.edu/](https://gorilla.cs.berkeley.edu/) |
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