Usage Guide

1. Generate Code: Provide the Python snippets below to the user to help them manage prompts in Agent Platform.
2. No File System Search: Do not try to find Python files or scripts on the file system for these operations.

Safety & Confirmation Tiers (CRITICAL)

1. Tier R: Read-only (list, get)
   • No confirmation needed. Execute immediately to gather information.
2. Tier M: Mutating & Reversible (create)
   • Requires interactive confirmation with 'Yes'/'No' options before executing prompt creation, to prevent unintended resource proliferation or misconfiguration. The confirmation prompt must clearly explain the proposed prompt creation and its key parameters (e.g., display name, template text, target model). Natural-language paraphrases without specifying the parameters are not sufficient.
   • Same-turn restriction: Do not execute the creation code in the same turn as presenting the confirmation prompt. Stop and wait for the user's reply; only execute after explicit 'Yes' / approval.
   • Every parameter in the card must trace back to something the user said. The target model is a user choice, not a default: if the user did not name one, ASK before building the card. Do not carry over the model that appears in the examples here or in references/create.md.
   • Gold Standard Example — for a user who said "create a prompt called Customer Support Greeting for gemini-2.5-pro with the template Hello {{user_name}}, how can I help...":

     I will create a prompt in Agent Platform with the following parameters. Please confirm this information before I proceed:

     • Display Name: Customer Support Greeting
     • Target Model: gemini-2.5-pro
     • Template Text: "Hello {{user_name}}, how can I help..."

     Do you confirm? [Yes/No]

3. Tier D: Destructive & Irreversible (delete)
   • Requires explicit typed confirmation (e.g. "I confirm" or "Yes, delete it") before executing prompt deletion, to prevent accidental permanent loss of production prompt assets. Ask for confirmation before any pre-flight checks.
   • Same-turn restriction: NEVER execute in the same turn as asking for typed confirmation. Wait for the user to reply in a new turn.
   • Gold Standard Example:

     I will permanently delete the following prompt from Agent Platform. This action is irreversible. Please explicitly type your confirmation (e.g., "I confirm") before I proceed:

     • Prompt ID: prompt_12345abc
     • Display Name: Legacy Outdated Prompt

     Please type your confirmation to proceed.

Phase 0: Environment Setup

1. Google Cloud Authentication: Authenticate with your Google Cloud account and configure active Application Default Credentials (ADC) for Agent Platform access:

   gcloud auth login
   gcloud auth application-default login

2. Python Dependencies: This skill needs google-cloud-aiplatform and google-genai. Do not create a virtual environment — it starts empty and hides packages the environment already provides, forcing a redundant install. Probe, and install only what is missing:

   python3 -c "import vertexai, google.genai" \
     || pip install google-cloud-aiplatform google-genai

3. Execution: Run Python snippets with a plain python3. There is no environment to activate first.

[!TIP]

Placeholder Parameter Replacement: The Python scripts below use uppercase string placeholders (like "PROJECT_ID", "LOCATION_ID", "PROMPT_ID", and "MODEL_ID"). You MUST dynamically replace these placeholders with the actual Project ID, Region, Prompt ID, and target model values provided in the user's prompt (or discovered context) before generating or providing the scripts. If the user did not supply one of these, ask -- a placeholder is never satisfied by guessing a plausible value.

1. Managing Prompts via Agent Platform SDK

Create a Prompt (Tier M)

• Reference: See create.md [blocked] for detailed instructions and Python snippets.

List Prompts (Tier R)

import vertexai
from vertexai.preview import prompts

vertexai.init(project="PROJECT_ID", location="LOCATION_ID")

all_prompts = prompts.list()
for p in all_prompts:
    print(f"Name: {p.display_name}, ID: {p.prompt_id}")

Retrieve and Use a Prompt (Tier R)

import vertexai
from vertexai.preview import prompts

vertexai.init(project="PROJECT_ID", location="LOCATION_ID")

retrieved_prompt = prompts.get(prompt_id="PROMPT_ID")
# Versions are supported: prompts.get(prompt_id="PROMPT_ID", version_id="2")

# Assemble with variables (kwargs must match template variable names)
assembled = retrieved_prompt.assemble_contents(text="The quick brown fox...")
print(assembled)

Delete a Prompt (Tier D)

[!IMPORTANT]

NEVER pre-emptively provide or execute any deletion code before receiving the user's response in a new turn. You must never speculate or assume that confirmation will be given. Asking for confirmation and providing the code in a single parallel turn is a severe safety violation.

import vertexai
from vertexai.preview import prompts

vertexai.init(project="PROJECT_ID", location="LOCATION_ID")

prompts.delete(prompt_id="PROMPT_ID")

2. Best Practices

• Idempotency:
  • Tier R (List, Get): Inherently idempotent.
  • Tier D (Delete): Re-running a delete on a non-existent or already deleted resource returns NOT_FOUND. Treat this as success.
• Placeholders: Use the standard placeholder syntax (variable name enclosed in double curly braces) in your prompt templates.
• Versioning: Always tag or record version IDs when making updates to production prompts.
• Model Reference: A prompt is created against a target model ID, which the snippets carry as the "MODEL_ID" placeholder. Like the other placeholders it is MUST-replace, and it is replaced from what the user said -- if they named no model, ask. Do not substitute a plausible current model such as gemini-2.5-pro.
• Underlying Schema: When using the Dataset API, always use the correct metadata_schema_uri and nested metadata structure to ensure the prompt is recognized by Agent Platform Studio and the Prompts SDK.