Documentation Index
Fetch the complete documentation index at: https://docs.llmgrid.ai/llms.txt
Use this file to discover all available pages before exploring further.
Overview
The Prompts screen allows you to manage reusable prompt templates that can be invoked consistently across applications, agents, and workflows. Prompts support template variables, model parameters, tools, and inline testing, making them suitable for both experimentation and production use. Prompts help standardize interaction patterns and reduce duplication across teams.Prompts List
The main Prompts page lists all prompts in the selected tenant.Primary Actions
- Add New Prompt
Create a prompt using the visual editor. - Upload
.promptFile
Import an existing prompt definition from a file.
Prompts Table
Each row represents a saved prompt and typically includes:- Prompt ID
Unique identifier for the prompt. - Model
Default model associated with the prompt. - Created At
Timestamp of initial creation. - Updated At
Timestamp of the most recent update. - Type
Prompt format or source (for example, UI-created or uploaded). - Actions
Edit, view, or manage the prompt.
Sorting and pagination controls are available when multiple prompts exist.
Upload Prompt (.prompt File)
You can create a prompt by uploading an existing.prompt file that follows the Dotprompt specification. This is useful for version‑controlled prompts or prompts created outside the UI.
How to Upload
- Navigate to Prompts.
- Select Upload
.promptFile. - Complete the upload form and create the prompt.
Upload Fields
Prompt ID
A unique identifier for the prompt.- Must be unique within the tenant
- Used to invoke the prompt via API and generated code
Prompt Integration
Select the format of the uploaded file.- dotprompt
Indicates the file conforms to the Dotprompt specification.
Prompt File
Upload the.prompt file from your local system.
Requirements
- File extension must be
.prompt - Must follow the Dotprompt schema
- Defines messages, variables, and structure
Create Prompt
- Create Prompt
Validates the file and registers the prompt. - Cancel
Closes the dialog without saving.
- Appears in the Prompts list
- Can be opened in the prompt editor
- Can be tested with template variables
- Can be referenced by Prompt ID in APIs
Best Practices
- Keep Prompt IDs stable for long‑lived integrations
- Store
.promptfiles in source control - Use file upload for shared or CI‑managed prompts
- Validate prompt files before uploading
Create / Edit Prompt
Selecting Add New Prompt or editing an existing prompt opens the prompt editor.Prompt Header
Model Selector
Select the default model that will be used when this prompt is executed.Parameters
Select Parameters to configure model-specific settings such as:- Temperature
- Max tokens
Prompt Editor (Left Panel)
Tools
Attach tools that the prompt can use when executed.- Select Add to attach available tools
- Tool availability depends on access and configuration
Developer Message
Optional system-level instructions that guide model behavior. Typical uses- Set tone or persona
- Include safety or formatting instructions
- Define high-level constraints
Prompt Messages
Prompt messages define the main prompt content.- Messages are role-based (for example, User)
- Supports template variables using
{{variable_name}}syntax - Multiple messages can be added using Add message
Template Variables & Testing (Right Panel)
Template Variables
Any variables used in the prompt must be populated before testing.- Enter values for each detected variable
- Missing values are highlighted and block execution
Testing Area
After all variables are filled:- Enter a test message
- Execute the prompt
- View the model response inline
Validation & Warnings
If required template variables are missing, a warning banner is shown indicating which variables must be filled before testing can proceed.Generated Code
Select Get Code to generate ready-to-use API calls for the prompt.Supported Options
- Language selection (for example, cURL)
- Variants such as:
- Basic
- With messages
- With version
- Prompt ID reference
- Model selection
- Template variable payload
- Authentication header placeholders
Save Prompt
Save
Persists the prompt definition, including:- Messages
- Variables
- Tools
- Parameters
Draft State
Unsaved changes are indicated until the prompt is saved.Common Use Cases
- Create reusable prompt templates for applications
- Standardize instructions across teams
- Inject dynamic inputs using template variables
- Test prompt behavior before production use
- Generate consistent API calls for developers
Best Practices
- Use clear, descriptive variable names
- Keep developer messages concise and explicit
- Test with multiple variable values
- Save prompts regularly to avoid losing changes
- Version prompts intentionally when behavior changes
- Prefer prompts over inline text for shared workflows
Related Sections
- Playground – Ad-hoc model testing
- Agents – Reference prompts within agent workflows
- Models – Manage available models
- Virtual Keys – Control access and limits
- Usage & Logs – Monitor prompt invocation

