Building Simple LLM Applications

APIs, chat flows, memory, orchestration, and developer patterns—an educational overview inspired by slide 77.

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Overview

LLM applications often begin simple: send input, receive output, and manage interactions. Understanding APIs, flows, memory, and orchestration enables developers to scale from simple prototypes to robust apps.

Key Concepts

APIs

Use endpoints to send prompts, control models, and structure responses.

Chat Flows

Define conversation steps, user inputs, and model-generated outputs.

Memory

Persist or retrieve context so conversations remain coherent.

Orchestration

Coordinate prompts, tools, and logic to produce multi-step reasoning.

Developer Patterns

Reusable structures for building maintainable and scalable LLM tools.

Process: From Prompt to Application

1. Prompt

Craft inputs.

2. API Call

Send request.

3. Response

Receive output.

4. Memory

Store context.

5. Orchestrate

Chain logic.

Use Cases

Customer support chatbots
Task automation assistants
Content generation tools
Knowledge-based Q&A apps

Simple vs. Advanced LLM Apps

Simple

Single API call
No memory
Minimal logic

Advanced

Multi-step orchestration
Persistent memory
Tool and workflow integration

FAQ

Do I need complex workflows to start?

No. A basic API call can form a complete simple LLM app.

Is memory required?

Only for contextual or multi-turn experiences.

What is orchestration?

Coordinating multiple prompts, tools, or models to achieve a task.

Start Building LLM Apps

Experiment with APIs and simple flows to learn by doing.

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