The CodeGeeX4 model supports 'Function Call', which allows model to select one or multiple tools from the candidates based on the problem.
cd function_call_demo
pip install -r requirements.txtpython main.py
>>> [{"name": "weather", "arguments": {"location": "Beijing"}}]In the example script, only one tool is provided as a candidate. However, you can also provide multiple tools as candidates as needed. Here is an example:
tool_content = {
"function": [
{
"name": "weather",
"description": "Use for searching weather at a specific location",
"parameters": {
"type": "object",
"properties": {
"location": {
"description": "the location need to check the weather",
"type": "str",
}
},
"required": [
"location"
]
}
},
{
"name": "Cooking/queryDish",
"description": "Cooking API, providing cooking methods for different cuisines. It queries dish information based on specified parameters.",
"parameters": {
"type": "object",
"properties": {
"cuisine": {
"description": "Specify the cuisine to be queried, such as Sichuan cuisine, Cantonese cuisine, Hunan cuisine."
},
"dish": {
"description": "Specify the name of the dish to be queried."
},
"difficulty": {
"description": "Specify the difficulty of the dish to be queried, such as beginner, intermediate, advanced."
}
},
"required": [
"cuisine"
]
}
}
]
}
response, _ = model.chat(
tokenizer,
query="How to make Kung-Pao Chicken",
history=[{"role": "tool", "content": tool_content}],
max_new_tokens=1024,
temperature=0.1
)The following result is obtained
[{'name': 'Cooking/queryDish', 'arguments': {'cuisine': 'Sichuan cuisine', 'dish': 'Kung-Pao Chicken'}}]
Additionally, for complex problems, the model has the ability to select and call multiple tools from the candidates. Here is an example:
tool_content = {
"function": [
{
"name": "flight_book",
"description": "Book a flight for a specific route and airlines",
"parameters": {
"type": "dict",
"properties": {
"from": {
"type": "string",
"description": "The departure city in full name."
},
"to": {
"type": "string",
"description": "The arrival city in full name."
},
"airlines": {
"type": "string",
"description": "The preferred airline."
}
},
"required": [
"from",
"to",
"airlines"
]
}
},
{
"name": "hotel_book",
"description": "Book a hotel for a specific location for the number of nights",
"parameters": {
"type": "dict",
"properties": {
"location": {
"type": "string",
"description": "The city where the hotel is located."
},
"nights": {
"type": "integer",
"description": "Number of nights for the stay."
}
},
"required": [
"location",
"nights"
]
}
}
]
}
response, _ = model.chat(
tokenizer,
query="Book a flight from Seattle to Boston with American Airlines and book a hotel in Boston for 4 nights.",
history=[{"role": "tool", "content": tool_content}],
max_new_tokens=1024,
temperature=0.1
)The following result is obtained
[{'name': 'flight_book', 'arguments': {'from': 'Seattle', 'to': 'Boston', 'airlines': 'American Airlines'}}, {'name': 'hotel_book', 'arguments': {'location': 'Boston', 'nights': 4}}]