# Text Templating

> Run Text Templating by infsh online or via API. From $0.00000277 per second, no setup.

**URL:** https://inference.sh/apps/infsh/text-templating
**Last updated:** 2026-03-19

---

Dynamically generate content by combining a fixed template with specific data inputs.

- app: `infsh/text-templating`
- maker: [infsh](https://inference.sh/apps/infsh.md)
- category: [other](https://inference.sh/apps/category/other.md)
- tasks: [workflow utilities](https://inference.sh/apps/tag/workflow-utilities.md)
- price: from $0.00000277/sec
- runs via: api, javascript and python sdk, belt cli, mcp

## text-templating API Guide

### About
dynamically generate content by combining a fixed template with specific data inputs.

### 1. Calling the API

#### Install the Client

```bash
pip install inferencesh
```

#### Setup Your API Key
Set `INFERENCE_API_KEY` as an environment variable. Get your key from settings → api keys.

```bash
export INFERENCE_API_KEY="inf_your_key"
```

#### Run and Get Result

```python
import os
from inferencesh import inference

client = inference(api_key=os.environ["INFERENCE_API_KEY"])


result = client.run({
        "app": "infsh/text-templating@6ncj9ndv",
        "input": {
            "template": "template",
            "strings": [
                "strings_1"
            ]
        }
    })

print(result["output"])
```

#### Stream Live Updates

```python
import os
from inferencesh import inference

client = inference(api_key=os.environ["INFERENCE_API_KEY"])


## stream=True yields updates as they arrive
for update in client.run({
        "app": "infsh/text-templating@6ncj9ndv",
        "input": {
            "template": "template",
            "strings": [
                "strings_1"
            ]
        }
    }, stream=True):
    if update.get("progress"):
        print(f"progress: {update['progress']}%")
    if update.get("output"):
        print(f"output: {update['output']}")
```

### 2. Authentication
The API uses API keys for authentication. See the authentication docs for detailed setup instructions.

### 3. Files

#### Automatic Upload

```python
## local file paths are automatically uploaded
result = client.run({
    "app": "infsh/text-templating@6ncj9ndv",
    "input": {
        "image": "/path/to/local/image.png",  # detected & uploaded
        "audio": "https://example.com/audio.mp3",  # url passed through
    }
})
```

#### Manual Upload

```python
## upload and get a hosted URL
file = client.files.upload("/path/to/file.png")
print(file.uri)  # https://cloud.inference.sh/...
```

### 4. Schema

#### Input
- **template** (string) *required*: The text template with placeholders like {1}, {2}, etc.
- **strings** (array) *required*: List of strings to substitute into the template

#### Output
- **result** (string): The processed template with strings substituted

## other other apps

- [HTTP Request](https://inference.sh/apps/infsh/http.md): from $0.00000277/sec
- [FID Score](https://inference.sh/apps/eval/fid-score.md): from $0.00055833/sec
- [CLIPScore](https://inference.sh/apps/eval/clipscore.md): from $0.00055833/sec
- [ArcFace Identity Similarity](https://inference.sh/apps/eval/arcface.md): from $0.00055833/sec
- [PickScore](https://inference.sh/apps/eval/pickscore.md): from $0.00055833/sec

## faq

### how much does Text Templating cost?

from $0.00000277/sec. runs are free, but your workspace needs a payment method on file to start one. no subscription is required.

### how do I run Text Templating via api?

call infsh/text-templating with the javascript or python sdk, the rest api, or `belt app run infsh/text-templating` from a terminal. the api reference on this page lists every input.

### who makes Text Templating?

Text Templating is made by infsh and runs on inference shell. every infsh app is listed at https://inference.sh/apps/infsh.

### can my agent use Text Templating?

yes. agents call it as a tool through the inference shell mcp server (https://api.inference.sh/mcp), the belt cli or the sdk.

### what are the alternatives to Text Templating?

other other apps on inference shell include HTTP Request, FID Score, CLIPScore, ArcFace Identity Similarity. they run through the same api, so switching is a one-line change.