Synchronous API Calls vs Web UI Interaction

Basic Error Handling for LLM APIs

Token Usage and Cost in API Responses

Extracting Generated Text from a Response

Understanding the API Response Structure

Common Request Parameters Explained

Selecting a Model in the API Request

Structuring Request Messages with Roles

Installing and Setting Up a Provider SDK

API Keys and Authentication Basics

What an LLM API Is and How It Works

REST API vs SDK Approaches

Synchronous vs Asynchronous API Calls

API Pricing and Cost Basics

Rate Limits and Quotas

Basic API Error Handling

Streaming vs Non-Streaming

API Keys and Authentication

Making a Basic API Request

Structure of a Chat Messages Array

Message Roles

Setting Max Tokens

Extracting the Completion Text

Token Usage in the Response

API Cost and Pricing Basics

Rate Limits

Handling API Errors

Multi-Turn Conversations

Common Sampling Parameters

Streaming vs Non-Streaming Responses

Reading Token Usage from the Response

Extracting Text from a Response

Understanding the API Response Object

Common Request Parameters

Selecting a Model in the API Call

Passing conversation history

Avoiding hardcoded keys

Iterating a streaming response

Specifying the model parameter

Message roles structure

Reading the API key from env

Importing the OpenAI client

Common Request Parameters

Reading the API Response Object

Understanding Token Usage in Responses

Extracting Generated Text from a Response

Structuring the Messages Array (roles)

Authenticating SDK Requests

Making a Basic Chat Completion Request

API Pricing and Token-Based Cost

What an LLM API Is

REST/HTTP Requests vs SDK Wrappers

Synchronous vs Asynchronous Requests

Handling API Errors and Status Codes

Streaming vs Non-Streaming Responses

Installing and Importing an LLM SDK

Rate Limits and Quotas

Keeping API Keys Secure

Obtaining and Using API Keys

Setting max_tokens / Output Length

Setting the Temperature Parameter

Selecting a Model in an API Call

Messages Array and Role Fields

Structure of a Chat Completion Request

Making Your First API Call

Setting the System Message

Synchronous vs Streaming Calls

Extracting the Generated Text

Making Your First API Call

What an SDK Is

Latency Considerations

Provider and Model Selection

Chat vs Legacy Completions

REST API vs SDK

Rate Limits

Token Usage Field

Keeping API Keys Secret

Retries and Timeouts

Streaming Responses Basics

Pricing and Cost per Token

API Response Object Structure

Installing a Provider SDK

Extracting the response text

Sending conversation history

Specifying the model

Reading token usage

Importing the OpenAI SDK

Handling API errors

Structuring the messages array

Basic chat completion call

Initializing the client

Limiting output length

Sync vs async client methods

Consuming a streaming response

Reading the key from env

Installing and Setting Up an LLM SDK

Keeping API Keys Secure with Env Vars

API Keys and Authentication

API Keys and Authentication

REST API vs Official SDK

API Pricing and Cost per Token

Parsing the Response Object

Provider-Specific Differences

Installing an LLM SDK

Top-p and Sampling Parameters

Token Usage in Responses

Handling API Errors

Retries and Exponential Backoff

Sync vs Async API Calls

System Prompt via API

Multi-Turn Conversations

What an LLM API Is

max_tokens Parameter

Specifying the Model Parameter

Securing Keys with Env Variables

Completion vs Chat Endpoints

Rate Limits and Quotas

Streaming Responses

Basic Chat Completion Request

Stop Sequences

What an LLM API Is