jamesjfoong

Handoff: CATAPA Endpoint Contract Storage

Task

Implement a structured, agent-queryable way to store CATAPA endpoint contracts (endpoint path, request params, response schema) for the ESS/MSS specialist agent. Replace the current free-form markdown contract docs.

Context

• The DE wraps the CATAPA SDK (catapa-private, catapa-public) via a thin proxy tool so the agent calls endpoints directly instead of generating code.
• The agent needs endpoint knowledge (path, params, payload, response shape) to call the proxy tool correctly.

jamesjfoong

Digital Employee Task Onboarding

For new engineers receiving a Digital Employee (DE) task.

Goal: get local project running, understand where behavior lives, make a small safe change, prove it with tests/run output.

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0. One picture

jamesjfoong

GDP Labs AI Stack — Beginner Field Guide

Single-file reference for CATAPA Digital Employee, GLAIP, GLAIR Connectors, and how they fit together.

How to read this (recommended order)

1. Read sections 1–3 to learn the pieces and what they do.
2. Read section 4 to see how a DE is assembled.
3. Read section 5 to pick the right integration pattern for your task.
4. Read sections 7–8 when you start coding.

jamesjfoong

GDP Labs AI Stack Field Guide

A concise map of the moving pieces: GL SDK / GLAIP, GLAIR Connectors, and CATAPA Digital Employee.

1. Ecosystem map

flowchart TB
    subgraph GL["GL SDK / GLAIP"]
        subgraph SDK_BOX["glaip-sdk Python"]

jamesjfoong

GDP Labs AI Stack Field Guide

A concise map of the moving pieces: GL SDK / GLAIP, GLAIR Connectors, and CATAPA Digital Employee.

1. Ecosystem map

flowchart TB
    subgraph GL["GL SDK / GLAIP"]
        A["Agent runtime<br/>LLM calls, memory, streaming<br/>PII masking, tracing"]

jamesjfoong

GDP Labs AI Stack Field Guide

A concise map of the moving pieces: GL SDK / GLAIP, GLAIR Connectors, and CATAPA Digital Employee.

1. Ecosystem map

flowchart TB
    subgraph GL["GL SDK / GLAIP"]
        A["Agent runtime<br/>LLM calls, memory, streaming<br/>PII masking, tracing"]

jamesjfoong

GDP Labs AI Stack Field Guide

A concise map of the moving pieces: GL SDK / GLAIP, GLAIR Connectors, and CATAPA Digital Employee.

1. Ecosystem map

flowchart TB
    subgraph GL["GL SDK / GLAIP"]
        A["Agent runtime<br/>LLM calls, memory, streaming<br/>PII masking, tracing"]

jamesjfoong

GDP Labs AI Stack Field Guide

A concise map of the moving pieces: GL SDK / GLAIP, GLAIR Connectors, and CATAPA Digital Employee.

1. Ecosystem map

flowchart TB
    subgraph GL["GL SDK / GLAIP"]
        A["Agent runtime<br/>LLM calls, memory, streaming<br/>PII masking, tracing"]

jamesjfoong

GDP Labs AI Stack Field Guide

A concise map of the moving pieces: GL SDK / GLAIP, GLAIR Connectors, and CATAPA Digital Employee.

1. Ecosystem map

flowchart TB
    subgraph GL["GL SDK / GLAIP"]
        A["Agent runtime<br/>LLM calls, memory, streaming<br/>PII masking, tracing"]

jamesjfoong

Micro Frontends (MFEs) — A Practical Overview

Think of MFEs as microservices, but for the frontend. Each team owns a vertical slice: UI + logic + deployment.

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1. What Are Micro Frontends?

An architectural style where independently deliverable frontend applications are composed into a greater whole.