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14 changes: 7 additions & 7 deletions README.md
Original file line number Diff line number Diff line change
Expand Up @@ -25,7 +25,7 @@

AI agent capabilities can be understood in five levels, from simple chatbots to fully autonomous, self-driving agentic systems:

<img width="960" height="417" alt="Levels of AI" src="https://github.com/user-attachments/assets/1ea51bb2-1a86-4f9a-8df0-a63c614c4b07" />
<img width="960" height="417" alt="Levels of AI" src="agentex/docs/docs/images/levels_of_ai.png" />

Today, most AI applications are limited to Level 3 (L3) and below, relying on synchronous request/response patterns. This restricts their ability to handle complex, long-running, or autonomous workflows.

Expand All @@ -43,7 +43,7 @@ In this README we will start with scaffolding an L1 example just to learn the ro

Here is what we will build together in this README. We'll start with a Hello World agent, but quickly switch to a more intelligent one!

https://github.com/user-attachments/assets/2543490f-e861-41b0-82fa-fd0ba5a02b95
https://github.com/user-attachments/assets/9badad0d-f939-4243-ba39-68cafdae0078


### Prerequisites
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The installation was successful if you see help output after you run `agentex -h`.

<img width="563" height="199" alt="Agentex CLI help output" src="https://github.com/user-attachments/assets/2df54b87-9f0d-4c04-9461-456bda76d7fa" />
<img width="563" height="199" alt="Agentex CLI help output" src="https://github.com/user-attachments/assets/50799cf0-c925-4fd9-84bd-044a6ef97287" />


## Setup
Expand Down Expand Up @@ -106,7 +106,7 @@ lzd

This gives a terminal for you to ensure all of the backend servers are healthy and you can review logs for each individual server in isolation. You know your Agent Server is fully running if all of the services from the docker compose are marked `(healthy)` in the top left panel of lazydocker.

<img width="863" height="729" alt="image" src="https://github.com/user-attachments/assets/ba651d08-f72e-4614-a100-f972e41c9374" />
<img width="863" height="729" alt="image" src="agentex/docs/docs/images/lazydocker.png" />


### Terminal 2 - Frontend Server
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Here is an example of the CLI flow you should follow with some example responses. You can change the responses if you'd like.

<img width="573" height="759" alt="image" src="https://github.com/user-attachments/assets/7a41cda6-b020-483b-bf63-cef7c684f35a" />
<img width="573" height="759" alt="image" src="agentex/docs/docs/images/agentex_init.png" />



Expand Down Expand Up @@ -170,7 +170,7 @@ agentex agents run --manifest manifest.yaml

You should see your agent appear in the developer UI when you visit http://localhost:3000 in your browser. As you can see, this agent just responds with a "Hello World" message. It's main purpose is to show how simple the agent's standard entrypoint is.

<img width="1728" height="992" alt="image" src="https://github.com/user-attachments/assets/0bedc20f-850c-48cf-b134-ed8814eab48d" />
<img width="1728" height="992" alt="image" src="agentex/docs/docs/images/agentex_web.png" />

Let's make it slightly more interesting by allowing an AI to respond in a streaming fashion.

Expand All @@ -197,7 +197,7 @@ OPENAI_API_KEY="..."

Your agent should auto-reload and look like this now:

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Copilot AI Oct 31, 2025

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The same image file 'agentex_web.png' is used for both line 173 and line 200. Consider verifying if these are meant to show different screenshots (e.g., before/after the AI streaming feature), as the context suggests they should be different. If they are the same, consider adding a comment explaining why.

Suggested change
<!-- Note: The same screenshot is used here as above because the UI appearance does not change at this step. -->

Copilot uses AI. Check for mistakes.
<img width="1728" height="991" alt="image" src="https://github.com/user-attachments/assets/4d482101-2494-44f8-9ad3-4521487a2e78" />
<img width="1728" height="991" alt="image" src="agentex/docs/docs/images/agentex_web.png" />

At this point, feel free to play around with the UI.
1. Start a conversation with your agent
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