AI Prompt Rendering
Generate context-rich prompts for entities, segments, and experiences to use with LLM chat models.
Overview
Lytics can render context-rich prompts for your entities (customer profiles), segments (audiences), and experiences (campaigns). These prompts are designed to be fed into LLM chat models for tasks like customer analysis, content personalization, or campaign optimization.
Each prompt is generated by applying one or more templates to the underlying data, producing a formatted text output suitable for LLM consumption.
API Reference
Entity Prompt
GET /v2/ai/prompt/entity/{fieldName}/{fieldValue}Renders a prompt for a specific customer profile, identified by a field name and value.
Path Parameters
| Parameter | Description |
|---|---|
fieldName | The identity field to look up (e.g., email, user_id) |
fieldValue | The value of the identity field |
Query Parameters
| Parameter | Type | Description |
|---|---|---|
templateIds | string[] | Optional additional template IDs to chain after the default entity template |
Response
Returns a plain text prompt containing the rendered entity context, including profile attributes, segment memberships, and behavioral data.
Segment Prompt
GET /v2/ai/prompt/segment/{segmentId}Renders a prompt for a specific audience segment.
Path Parameters
| Parameter | Description |
|---|---|
segmentId | The segment identifier |
Query Parameters
| Parameter | Type | Description |
|---|---|---|
templateIds | string[] | Optional additional template IDs to chain |
Response
Returns a plain text prompt containing the segment definition, membership criteria, and summary statistics.
Experience Prompt
GET /v2/ai/prompt/experience/{experienceId}Renders a prompt for a specific experience (campaign or personalization).
Path Parameters
| Parameter | Description |
|---|---|
experienceId | The experience identifier |
Query Parameters
| Parameter | Type | Description |
|---|---|---|
templateIds | string[] | Optional additional template IDs to chain |
Response
Returns a plain text prompt containing the experience configuration, targeting criteria, and performance context.
Use Cases
- Customer Analysis: Generate prompts for individual profiles and feed them to an LLM for insights about customer behavior and preferences.
- Content Personalization: Use segment prompts to generate tailored content recommendations.
- Campaign Optimization: Provide experience prompts to an LLM for suggestions on improving campaign performance.
- Template Chaining: Use custom
templateIdsto append domain-specific context to the default prompts.
Updated 2 days ago