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The intelli chatbot function connect with multiple leading AI models such as chatGPT, gemini, and mistral. It allows developers to build chat systems capable of handling complex dialogues and chat with your docs. One of the key features of the intelli chatbot is its ability to switch between different AI providers, offering flexibility based on the needs of the application and ability to upgrade to latest models without code changes in your apps.

Core Components

ChatModelInput: This class provide unified entry to all chatbot providers. It encapsulates details such as the chat system, model preference, message history, and various AI model-specific parameters like temperature, max tokens, and more.

Chatbot: The primary class that interfaces with different AI providers. It requires API credentials, the provider name. You can extend the functionality using optional parameters for proxies and search capabilities via intellibode cloud.

Available Models and Capabilities

The python version support the following providers:

• Openai.
• Gemini.
• Mistral.
• Anthropic.
• Azure.
• DeepSeek.
• Llama3.

Use ChatProvider enum for selecting your chatbot model.

Example

Imports

from intelli.model.input.chatbot_input import ChatModelInput
from intelli.function.chatbot import Chatbot, ChatProvider

Prepare the input

chat_input = ChatModelInput(system="You are a helpful assistant.", model="gpt-5.5")
chat_input.add_user_message("Explain the plot of the Inception movie in one line.")

Call the chatbot

chatbot = Chatbot(api_key=YOUR_API_KEY, provider=ChatProvider.OPENAI)
response = chatbot.chat(chat_input)

Default Models

When you omit the model, intelli picks a current default for the provider:

Provider	Default model
Openai	gpt-5.5
Anthropic	claude-sonnet-5
Gemini	gemini-2.5-flash
Mistral	mistral-large-latest

Use claude-opus-5 for the larger Anthropic model. The Claude 5 family and Opus 4.7 and above dropped the sampling parameters, so intelli omits temperature for those models and they work without any change on your side.

GPT-5 Parameters

The GPT-5 family runs on the responses API, and the input accepts its parameters:

chat_input = ChatModelInput(
    system="You are a helpful assistant.",
    model="gpt-5.5",
    reasoning_effort="low",   # low, medium, high, xhigh, none
    verbosity="medium",       # low, medium, high
    max_tokens=512,           # sent as max_output_tokens
)

tool_choice is available as well, on both the openai and the anthropic paths. To force the classic chat completions endpoint for a GPT-5 deployment, add :chat to the model id, for example gpt-5.5:chat.