Prompt Lifecycle
A typical prompt lifecycle in Prompt Library:| Stage | Description |
|---|---|
| Create Prompt | Create a reusable prompt template and define its instructions and content. |
| Test and Compare | Test the prompt across one or more models and compare responses, token usage, and response times. |
| Refine and Version | Update the prompt based on test results and save new versions as needed. |
| Activate Prompt | Promote a validated version to active status for production use. |
| Reuse and Manage | Reuse the prompt across the project and manage it through version history and references. |
Create and Manage Prompts
The Prompt Library page lists all prompts in the selected project. For each prompt, you can:- Define prompt instructions and content.
- Add tags for categorization.
- Save prompts as drafts.
- Promote validated prompts to the active version.
Manage Prompt Versions
Each prompt supports multiple versions. Use the Versions tab to:- View all available versions.
- Track revisions over time.
- Compare changes between versions.
- Promote a selected version to active status.
Prompt States
| State | Description |
|---|---|
| Draft | A work-in-progress version used for editing and testing. |
| Active | The published version available for production use. |
Test and Compare Prompts
Use Test & Compare to evaluate prompt behavior across multiple language models before deployment. You can:- Select a prompt version.
- Choose models for comparison.
- Provide a test user message.
- Upload an optional context file.
- Run the prompt against selected models simultaneously.
Use Context During Testing
You can upload files to include additional context during a test run. The uploaded content is available during prompt execution, letting you evaluate how the prompt handles real-world, project-specific information.View Prompt References
The References tab shows where a prompt is used within the project. Use it to:- Understand prompt dependencies.
- Assess the impact of changes before modifying an active prompt.
- Identify agents and workflows that rely on the prompt.
Best Practices
- Use descriptive names that clearly indicate a prompt’s purpose.
- Add tags to improve organization and searchability.
- Save changes as drafts while iterating.
- Test prompts across multiple models before promoting to active status.
- Review references before modifying active prompts.
- Use version history to track prompt evolution and preserve previous revisions.