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Prompt Versioning
Last update:
May 18, 2026
Prompts evolve over time. Prompt versioning provides a controlled way to introduce improvements and breaking changes without disrupting existing workflows.
Overview
Prompts evolve over time: you refine instructions, adjust tone, add arguments, or change the structure of model messages. Prompt versioning gives you a safe way to do this without surprising existing workflows.
Why Version Prompts?
From a user perspective, you want:
- Reliable behavior – a prompt that produced a certain style of result yesterday should not suddenly behave differently today without warning.
- Room to improve – you still want to fix and improve prompts as you learn.
- Coexistence – sometimes you want both the “old” and “new” behavior available side-by-side.
Prompt versioning lets you:
- Introduce breaking changes (new required arguments, different output expectations) in a controlled way.
- Keep the old version available until all callers are ready to upgrade.
- Track which version is used in logs and analytics.
Versioning Strategies
a) Version in the Prompt Name
You explicitly encode the version in the prompt name:
- summarize_document_v1
- summarize_document_v2
- explain_code_v3
Pros:
- Extremely explicit; callers know exactly which version they use.
- Allows both versions to coexist and be independently discoverable via prompts/list.
Cons:
- Slightly noisier tool/prompt list.
- Requires renaming when a new version is created.
b) Version as Metadata
You keep the prompt name stable and manage the version as separate metadata:
{
"name": "summarize_document",
"version": "1.1.0",
"arguments": [...],
"messages": [...]
}
Pros:
- Clean names; fewer variants exposed.
- Clients can choose to always use “latest” or pin to a specific version if supported.
Cons:
- Requires your MCP client or orchestration layer to understand and respect version fields.
- Less visible to users if not surfaced in the UI.
In many real deployments you combine both: a stable name with optional version metadata and, for major changes, new names.
What Counts as a Breaking Change?
You should treat the following as breaking changes that warrant a new major prompt version (or a new prompt name):
- Removing an argument.
- Renaming an argument.
- Changing the meaning or type of an argument (e.g., id becomes full object).
- Changing the expected format of the output (e.g., from bullet summary to JSON list).
- Changing the core task (e.g., from “summarize” to “analyze and critique”).
Non-breaking changes (safe for minor version bumps or transparent updates):
- Improving wording for clarity without changing the goal.
- Adding optional arguments with reasonable defaults.
- Small tweaks to tone that don’t change the functional outcome.
- Bug fixes that make the prompt behave as originally intended.
How Users Experience Prompt Versioning
When your team updates prompts, you may see:
- New prompt names appearing in
prompts/list(e.g., summarize_document_v2). - Updated metadata in
prompts/getresponses indicating a newer version. - Documentation or release notes describing “Prompt v2” improvements.
If you maintain an integration:
- You can continue using the old version until you’re ready to test and adopt the new one.
- You may explicitly switch to the new version in your configuration or code.
- In some environments, a “default” version might be updated, while older versions remain as explicit opt-in prompts.
Practical Versioning Example
Imagine you have a prompt:
- name: "summarize_document"
- version: "1.0.0"
- Required argument: document_text
You decide to:
- Add a required max_words argument.
- Change the output to always return a JSON object with summary and word_count.
This is a breaking change. One safe approach:
Create a new prompt:
- name: "summarize_document_v2"
- version: "2.0.0"
- Arguments: document_text (required), max_words (required)
- Output: JSON format described in the docs
Leave summarize_document v1 as-is.
Document the difference and guide users to adopt summarize_document_v2 when ready.
Over time, once nothing depends on v1, you can deprecate or remove it.
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