Skill

Build Advanced Chatbots with Semantic Kernel

Name: Build Advanced Chatbots with Semantic Kernel
Availability: OnlineOnly
Author: Semantic Kernel

Semantic Kernel chat completion skill with streaming, history management, and logit bias for building conversational AI applications.

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Semantic Kernel

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Spark score

out of 100

Updated 4 months ago

Version 1.0.0

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Why it matters

Develop sophisticated chatbots capable of managing conversation history, streaming responses, and implementing advanced features like logit bias for controlled output. This asset leverages Semantic Kernel to streamline the creation of intelligent conversational agents.

Outcomes

What it gets done

Implement streaming chat completions for real-time user interaction.

Manage and reduce conversation history to maintain context efficiently.

Apply logit bias to guide the chatbot's responses.

Integrate image understanding into chat interactions.

Install

Add it to your toolbox

Run in your project directory:

curl -fsSL https://spark.entire.vc/get/sk-concept-chatcompletion | bash

Capabilities

What this skill does

Implement streaming chat

Implement streaming chat completions for real-time user interaction.

Manage and reduce

Manage and reduce conversation history to maintain context efficiently.

Apply logit bias

Apply logit bias to guide the chatbot's responses.

Integrate image understanding

Integrate image understanding into chat interactions.

Overview

Semantic Kernel - Chat Completion

What it does

A collection of 11 Python examples demonstrating chat completion patterns with Semantic Kernel, including streaming responses, conversation history management using summary and truncation reducers with auto-reduce capabilities, and logit bias configuration.

How it connects

Best for developers building chatbot applications who need practical examples of streaming chat responses, implementing conversation history reduction strategies, or controlling token generation through logit bias in Semantic Kernel.

Source README

Chat completion with Semantic Kernel: chatbots, streaming, history management, logit bias

Examples (11 files):

simple_chatbot.py
simple_chatbot_kernel_function.py
simple_chatbot_logit_bias.py
simple_chatbot_store_metadata.py
simple_chatbot_streaming.py
simple_chatbot_with_image.py
simple_chatbot_with_summary_history_reducer.py
simple_chatbot_with_summary_history_reducer_autoreduce.py
simple_chatbot_with_summary_history_reducer_keep_func_content.py
simple_chatbot_with_truncation_history_reducer.py
simple_chatbot_with_truncation_history_reducer_autoreduce.py

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