Jinja2 Template Tool
Test and visualize Jinja2 templates with real-time rendering
Test and visualize Jinja2 templates with real-time rendering
Master dynamic prompt generation for AI and Large Language Models with our Jinja2 template visualizer. As prompt engineering becomes critical for ChatGPT, Claude, and Gemini applications in 2025, Jinja2 templates enable sophisticated prompt composition, variable injection, and conditional logic. Whether you're building dynamic AI prompts, creating email templates with LLM-generated content, generating configuration files for multi-agent systems, or automating documentation with AI, our Jinja2 tool helps you test, debug, and perfect your templates in real-time.
Leading AI developers use Jinja2 templates to create sophisticated, reusable prompts that adapt to different contexts. Here's how Jinja2 revolutionizes AI prompt engineering in 2025:
{% set system_role = "expert " + domain + " assistant" %} {% set response_format = "structured" if use_json else "natural" %} You are an {{ system_role }} with deep knowledge in {{ expertise_areas | join(", ") }}. {% if context_documents %} Context Information: {% for doc in context_documents %} - {{ doc.title }}: {{ doc.summary | truncate(100) }} {% endfor %} {% endif %} User Query: {{ user_query }} {% if constraints %} Constraints: {% for constraint in constraints %} - {{ constraint }} {% endfor %} {% endif %} Provide a {{ response_format }} response that: {% if use_json %} - Returns valid JSON matching this schema: {{ json_schema }} {% else %} - Is conversational and helpful - Includes examples where appropriate {% endif %} {% if include_reasoning %} Begin with your reasoning process before providing the final answer. {% endif %}
💡 Pro Tip: Use Jinja2 conditionals to create prompts that adapt based on user requirements, improving AI response quality by up to 45%.
Retrieval-Augmented Generation (RAG) systems require dynamic prompts that incorporate retrieved documents. Jinja2 makes this seamless:
{# RAG System Prompt Template #} Based on the following retrieved documents, answer the user's question. Retrieved Documents: {% for doc in retrieved_docs | selectattr("relevance_score", ">", 0.7) %} Document {{ loop.index }} (Relevance: {{ "%.2f" | format(doc.relevance_score) }}): Title: {{ doc.title }} Content: {{ doc.content | truncate(500) }} Source: {{ doc.source_url }} --- {% endfor %} User Question: {{ user_question }} {% if previous_conversation %} Previous Context: {% for turn in previous_conversation[-3:] %} {{ turn.role }}: {{ turn.content | truncate(200) }} {% endfor %} {% endif %} Instructions: - Synthesize information from the documents - Cite sources using [Document N] format - {{ "Acknowledge if information is missing" if strict_mode else "Provide general knowledge if documents lack info" }} - Maximum response length: {{ max_tokens }} tokens
Coordinate complex multi-agent AI systems with Jinja2 templates that manage agent communication:
{# Multi-Agent Task Delegation Template #} { "task_id": "{{ task_id }}", "timestamp": "{{ now() }}", "coordinator": "{{ coordinator_agent }}", "agents": [ {% for agent in available_agents %} { "name": "{{ agent.name }}", "role": "{{ agent.specialization }}", "assigned_subtask": {% if agent.name in task_assignments %}"{{ task_assignments[agent.name] }}"{% else %}null{% endif %}, "dependencies": {{ agent.dependencies | tojson }}, "priority": {{ agent.priority }} }{% if not loop.last %},{% endif %} {% endfor %} ], "execution_plan": { {% for phase in execution_phases %} "phase_{{ loop.index }}": { "agents": {{ phase.agents | tojson }}, "parallel": {{ phase.parallel | lower }}, "timeout_seconds": {{ phase.timeout | default(300) }} }{% if not loop.last %},{% endif %} {% endfor %} } }
Jinja2 is a modern templating engine for Python, widely used for generating dynamic content from templates with variables, loops, and conditions.
Replace placeholders with actual values at runtime, perfect for generating personalized emails, reports, configurations, and AI prompts.
Use if/else conditions, for loops, filters, and macros to create sophisticated templates that adapt to different scenarios.
Powers Flask, Ansible, Salt, and countless automation tools. Industry standard for configuration management and content generation.
Create dynamic few-shot prompts that adapt examples based on task type:
{% macro example(input, output) %} Input: {{ input }} Output: {{ output }} {% endmacro %} Task: {{ task_description }} Examples: {% for ex in examples | selectattr("category", "equalto", task_category) | list[:num_shots] %} {{ example(ex.input, ex.output) }} {% endfor %} Now process this input: Input: {{ user_input }} Output:
Build complex reasoning chains with conditional logic:
Let's solve this step-by-step: {% for step in reasoning_steps %} Step {{ loop.index }}: {{ step.description }} {% if step.requires_calculation %} Calculation: {{ step.formula }} {% endif %} {% if step.requires_lookup %} Reference: {{ step.source }} {% endif %} Result: {{ step.expected_output }} {% endfor %} Final Answer: Based on the above reasoning...
{{ variable_name }}
- Output variable values
{{ user.name }}
- Access object properties
{{ items[0] }}
- Array/list indexing
{% if condition %} ... {% endif %}
- Conditional blocks
{% for item in items %} ... {% endfor %}
- Loops
{% set variable = value %}
- Variable assignment
{{ name | upper }}
- Transform to uppercase
{{ price | round(2) }}
- Round numbers
{{ list | join(", ") }}
- Join array elements
{{ text | truncate(50) }}
- Truncate text
{# This is a comment #}
- Template comments (not rendered)
{% macro api_endpoint(method, path, description) %} {{ method }} {{ path }} Description: {{ description }} {% endmacro %} {{ api_endpoint("GET", "/users", "List all users") }} {{ api_endpoint("POST", "/users", "Create user") }}
{# base_prompt.j2 #} System: You are a helpful assistant. {% block instructions %}{% endblock %} {# specific_prompt.j2 #} {% extends "base_prompt.j2" %} {% block instructions %} Focus on technical accuracy. {% endblock %}
default
filter to handle missing variables gracefully| e
filter for HTML contexts to prevent XSSFilter | Description | Example | Result |
---|---|---|---|
upper | Convert to uppercase | {{ "hello" | upper }} | HELLO |
lower | Convert to lowercase | {{ "WORLD" | lower }} | world |
title | Title case | {{ "hello world" | title }} | Hello World |
default | Default value | {{ missing | default("N/A") }} | N/A |
length | Get length | {{ [1,2,3] | length }} | 3 |
tojson | Convert to JSON | {{ data | tojson }} | JSON string |
Variable doesn't exist in context. Use default filter or check variable existence with if variable is defined
.
Check for unclosed blocks, missing endfor/endif tags, or incorrect syntax in expressions.
Ensure proper spacing around tags. Use {{- variable -}}
to control whitespace.
Avoid complex logic in templates. Pre-process data in your application code when possible.
Generate dynamic configuration files for cloud infrastructure and containerization:
# Kubernetes Deployment Template apiVersion: apps/v1 kind: Deployment metadata: name: {{ app_name }}-deployment namespace: {{ namespace | default("default") }} spec: replicas: {{ replicas | default(3) }} selector: matchLabels: app: {{ app_name }} template: metadata: labels: app: {{ app_name }} version: {{ version }} spec: containers: - name: {{ app_name }} image: {{ registry }}/{{ app_name }}:{{ version }} ports: {% for port in ports %} - containerPort: {{ port }} {% endfor %} env: {% for key, value in environment.items() %} - name: {{ key }} value: "{{ value }}" {% endfor %}
While Jinja2 originates from Python, implementations exist for other languages including JavaScript (Nunjucks), Ruby (Liquid), and PHP (Twig). The syntax is widely adopted across platforms.
Use the default filter: {{ variable | default("fallback") }}
or check existence: {% if variable is defined %}
. Configure Jinja2 to fail silently or raise errors based on your needs.
No, Jinja2 is sandboxed by default and cannot execute arbitrary Python code. It's limited to the variables and functions explicitly provided in the context, making it safe for user-generated templates.
Use our visualizer to test templates with sample data. Enable debug mode to see undefined variables, use the debug extension to inspect context, and add temporary output statements to trace execution.
Include inserts a template's content at that point, while extend creates template inheritance where child templates can override blocks defined in parent templates. Use extend for layouts, include for components.
Ready to create powerful dynamic templates for your AI prompts, configurations, or content generation? Our Jinja2 template visualizer provides real-time rendering, syntax highlighting, and error detection. Test your templates with custom data, debug issues instantly, and export production-ready templates for your applications. Perfect for prompt engineers, DevOps professionals, and developers working with dynamic content generation.