AgentForce Exchange - 2: Natural Language Querying of Salesforce Data

Non-technical users often find themselves blocked by SOQL’s syntax for querying data or by having to remember which list view filters to use. What if they could just type in natural language: “Show me all closed deals from last quarter” and get exactly what they need?

This scenario has been designed for developer who possess Intermediate skills in Lightning Web Component and Apex along with Agentforce Models API

🧱 Core Components

Enable users to interact with your Salesforce org with plain English queries — automatically translated into SOQL, executed, and returned via UI.

Components:

LWC Input: A Lightning Web Component with a text field where users enter natural-language queries.
LLM Parser: An Agentforce Models API that converts NL into valid SOQL statements.
Apex Execution: Apex receives parsed SOQL, runs the query, and returns the matching records.
Dynamic Display: An LWC component displays query results back to the user.

🛠 Step‑by‑Step Implementation

1. Build the Query Input Component

Create an LWC named nlQueryInput.
Include an input text box and “Search” button.
On click, fire an event with the user’s query text.

2. Integrate an LLM Parser

Connect your LWC to Apex (@AuraEnabled).
In Apex, call out to an Agentforce Models API
Receive and sanitize the SOQL string. (Basic white‑listing recommended.)

3. Run the SOQL Query in Apex

Use dynamic SOQL:

List<SObject> results = Database.query(soql); 
return results;

Wrap in try/catch to gracefully handle malformed queries.

4. Render Results in the UI

Pass the list of records back to LWC.
Display the data in a Lightning data table or card layout.
Show friendly error messages if no results or syntax issues.

5. Add Guardrails & Security

Enforce using stripInjections() and other sanitization.
Restrict to specific objects and fields via metadata-based allow list.
Add logging to track potentially problematic queries.

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