Together.ai JSON mode and Function Calling

[Kolaposki]

TogetherAI just announced JSON mode and function calling for their models. It currently supports these models: Mixtral, Mistra, and CodeLlama. How do we implement this? Using either Langchain or CrewAI.

This is how I use their model in my agent.

    self.MistralLLM = openai.ChatOpenAI(
        base_url="https://api.together.xyz/v1",
        api_key=os.getenv('TOGETHER_APIKEY'),
        temperature=0.75,
        model="mistralai/Mistral-7B-Instruct-v0.2")

Its hard for these models to follow simple instructions like return JSON and be consistent with it even when you scream at them in the system prompts. Does anyone know how to enforce this or found a hacky way?

[JakobPCoder]

response_format={"type": "json_object"} add that to your arguments. it doesnt work with mistral inst 0.2 i think 0.1 is fine. iizs all in the link you posted https://www.together.ai/blog/function-calling-json-mode.

JSON MODE
examples: chat_completion = client.chat.completions.create(
model="mistralai/Mixtral-8x7B-Instruct-v0.1",
response_format={
"type": "json_object",
"schema": User.model_json_schema()
},
messages=[
{"role": "system", "content": "You are a helpful assistant that answers in JSON."},
{"role": "user", "content": "Create a user named Alice, who lives in 42, Wonderland Avenue, Wonderland city, 91234 Dreamland."}
],
)

FUNCTION CALLING
tools = [
{
"type": "function",
"function": {
"name": "get_current_weather",
"description": "Get the current weather in a given location",
"parameters": {
"type": "object",
"properties": {
"location": {
"type": "string",
"description": "The city and state, e.g. San Francisco, CA"
},
"unit": {
"type": "string",
"enum": [
"celsius",
"fahrenheit"
]
}
}
}
}
}
]

Generate

response = client.chat.completions.create(
model="mistralai/Mixtral-8x7B-Instruct-v0.1",
messages=[
{"role": "system", "content": "You are a helpful assistant."},
{"role": "user", "content": "What is the current temperature of New York?"}
],
tools=tools,
tool_choice="auto",
)

[xitex]

How to implement this in crewai???? where it must be added if we have only agent and tasks settings?

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