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  5. t-String Renderer Playground
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Python t-String Renderer Playground

Type a template, fill in the values, pick a renderer. See the final output and how the Template splits into strings and interpolations. No Python 3.14 install needed.

Zeeshan Tofiq

Zeeshan Tofiq

Full Stack Developer

How the playground works

  1. You type a template. The tool scans it for {placeholder} markers, the same syntax a real Python t-string uses.
  2. It splits the template into parts. Static text becomes the strings tuple and each marker becomes an interpolation, exactly how a Python Template object is structured.
  3. A value input appears for every placeholder. Whatever you enter is treated as the evaluated value of that interpolation.
  4. You pick a renderer. Each renderer walks the template parts and assembles output its own way: HTML escaping, SQL parameterization, JSON log structuring, LLM message building, or a raw dump.
  5. You see two panels. The Template breakdown shows the raw strings and interpolations; the output panel shows the rendered result with a copy button.

What each renderer produces

The five renderers mirror the patterns from the companion blog post. Switch between them to see how the same template produces very different output.

Raw TemplateUse when: Understanding the model itself

Dumps the strings tuple and the interpolations list so you can see precisely how your template was parsed before any renderer touches it.

HTMLUse when: Rendering user data into markup

Escapes every interpolated value with HTML entity encoding while leaving your static markup untouched. Type <script> into a value to watch it become &lt;script&gt;.

SQLUse when: Building parameterized queries

Replaces each value with a $1-style placeholder and collects the values into a separate params list. Lists expand into IN clauses and None becomes NULL, so injection is structurally impossible.

Structured LogUse when: Emitting machine-queryable logs

Builds a JSON log entry with the assembled message plus one field per interpolation, keyed by the placeholder name, so log aggregators can query individual fields.

LLM PromptUse when: Sending user text to a model

Assembles a role/content message dict and scans each value for prompt-injection phrases, replacing flagged content with a safe placeholder before it reaches the model.

Template syntax reference

The playground accepts the placeholder syntax you would use in a real Python t-string, plus two value conventions for the SQL renderer.

You typeMeaning
{name}An interpolation named "name". A value input appears for it.
Hello {name}!Static text plus one interpolation. "Hello " and "!" become the strings tuple.
{a} {b} {a}Repeated placeholders share one value input; both positions use it.
[active, pending]SQL renderer only: a value that expands into an IN clause ($n, $n+1).
NoneSQL renderer only: renders a bare NULL instead of a placeholder.

When to use this tool

Match your goal to a renderer and a sample template.

Your goalRendererTry this template
See how a template is parsedRaw TemplateHello {name}, you have {count} messages
Confirm user input gets escapedHTML<p>{comment}</p>
Check IN-clause parameterizationSQLSELECT * FROM users WHERE status IN {statuses}
Preview a structured log lineStructured LogUser {user_id} did {action} from {ip}
Watch injection protection triggerLLM PromptThe customer asks: {question}

Frequently Asked Questions

What does the t-string playground do?

It lets you experiment with Python 3.14 t-strings without installing Python. You type a template with {placeholder} markers, fill in the values, and pick a renderer. The tool shows both the assembled output and the Template breakdown, so you can see exactly how the strings and interpolations map onto what each renderer produces.

Is this running real Python 3.14 in my browser?

No. The tool is a JavaScript approximation of Python's Template model. It splits your template on {...} markers into static strings and interpolation expressions, then runs each renderer's logic (HTML escaping, SQL parameterization, JSON log structuring, LLM message building) in the browser. The behavior mirrors the real renderers from the companion blog post, but no Python runtime is involved.

How is this different from a normal Python playground?
This playgroundGeneric Python REPL
Python 3.14 requiredNo, runs in the browserYes, Pyodide does not ship 3.14 yet
t-string renderers5 built in, ready to testYou write them yourself first
Template breakdownShown for every templateManual inspection in the REPL
SetupNoneInstall or load a runtime
Does the tool send my template or values anywhere?

No. Everything runs client-side in your browser. Nothing you type is saved, logged, or sent to a server. The page is a static file served from Cloudflare's edge with no backend.

How do I test a SQL IN clause with a list of values?

Pick the SQL renderer, then wrap the value in brackets. For a {status_list} placeholder, type the value below:

text
[active, pending]

The renderer expands it into ($2, $3) and appends both items to the params list, exactly like the production query() renderer. Type None for any value to render a SQL NULL instead of a placeholder.

Why did the LLM Prompt renderer flag my message?

The prompt renderer checks each interpolated value against a list of known prompt-injection phrases such as "ignore previous instructions". When one matches, it replaces the message content with a safe placeholder instead of passing the user text through. This demonstrates how a t-string renderer can inspect values before assembling the final prompt, which an f-string cannot do.

Related reading

Guide

Python 3.14 t-Strings in Practice: 5 Patterns

The companion guide. Working HTML, SQL, structured-log, LLM-prompt, and i18n renderers you can drop into a real codebase.

Guide

Switch to uv for Python

How to install and pin Python 3.14 per project with uv, so you can actually run these t-string renderers locally.

Zeeshan Tofiq

Zeeshan Tofiq

Full Stack Developer

Full stack developer with over 6 years of experience building production applications. Writes practical guides on JavaScript, TypeScript, React, Node.js, and cloud infrastructure. Focused on helping developers solve real problems with clean, maintainable code.

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Type any text with {placeholder} markers. Value inputs appear automatically for each one.

Interpolated values

Renderer

Template breakdown

.strings
('Hello ', ', you have ', ' messages')
.interpolations
name='Alice', count=5

Renderer output

python
template.strings
# ('Hello ', ', you have ', ' messages')

template.interpolations
# (
  Interpolation(value='Alice', expression='name'),
  Interpolation(value=5, expression='count'),
)