Templates
Embabel supports Jinja templates for generating prompts.
You do this via the PromptRunner.rendering(String) method.
This method takes a Spring resource path to a Jinja template.
The default location is under classpath:/prompts/ and the .jinja extension is added automatically.
You can also specify a full resource path with Spring resource conventions.
Once you have specified the template, you can create objects using a model map.
Template syntax inside substituted values is treated as literal data by default.
This prevents values such as user-provided text containing {{ expression }} from being evaluated recursively.
The renderer can be configured under embabel.agent.platform.template:
embabel:
agent:
platform:
template:
prefix: "classpath:/prompts/"
suffix: ".jinja"
fail-on-unknown-tokens: false
nested-interpretation-enabled: false
Enabling nested-interpretation-enabled re-evaluates template syntax found inside substituted values.
Do not enable it for templates that interpolate untrusted or user-provided text.
An example:
DistinctFactualAssertions distinctFactualAssertions = context.ai()
.withLlm(properties.deduplicationLlm())
// Jinjava template from classpath at prompts/factchecker/consolidate_assertions.jinja
.rendering("factchecker/consolidate_assertions")
.createObject(
DistinctFactualAssertions.class,
Map.of(
"assertions", allAssertions,
"reasoningWordCount", properties.reasoningWordCount()
)
);
System Prompts from Templates
To render a template into the system prompt of a regular PromptRunner chain, wrap the runner in a TemplatedPromptRunnerBuilder.
It renders the template with the platform’s TemplateRenderer and returns a runner with the result applied via withSystemPrompt(), leaving all downstream operations unchanged.
PromptRunner runner = new TemplatedPromptRunnerBuilder(context, context.ai().withLlm(llm))
.withSystemPromptTemplate(
"support/system_prompt",
Map.of("company", companyName)
);
Answer answer = runner.createObject(question, Answer.class);
Custom Template Renderer
By default, rendering() uses the platform’s TemplateRenderer (a Jinja-based renderer that loads templates from the classpath).
You can override this on a per-rendering basis using withTemplateRenderer(), which lets you supply a custom TemplateRenderer implementation.
This is useful when you need to load templates from a different source—for example, pulling templates from a user-specific directory on the file system, or from a database, enabling per-tenant or per-user prompt customization.
TemplateRenderer perUserRenderer = createRendererForUser(userId);
String result = context.ai()
.rendering("user-greeting")
.withTemplateRenderer(perUserRenderer)
.generateText(
Map.of("userName", userName)
);
Don’t rush to externalize prompts.
In modern languages with multi-line strings, it’s often easier to keep prompts in the codebase. Externalizing them can sacrifice type safety and lead to complexity and maintenance challenges.




