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Update an Agent Name with CustomGPT.ai RAG API’s Python SDK – A How‑To Tutorial

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Written by: Priyansh Khodiyar

Update an Agent Name with CustomGPT.ai RAG API’s Python SDK – A How‑To Tutorial

Update an agent names meaningful is vital for organization—especially when you manage multiple chatbots. In this guide, you’ll learn how to rename a CustomGPT project (agent) entirely in Python using the official CustomGPTs RAG APIs Python SDK implementation.

We’ll move through:

  1. Authenticating the SDK
  2. Fetching the current project name (so you know what you’re changing)
  3. Updating the name in a single API call
  4. Verifying that the change stuck
  5. Troubleshooting common hiccups

If you’re brand‑new to CustomGPT, first sign up and review Getting Started with CustomGPT.ai. For deeper reference, check the official docs. A runnable notebook lives in our GitHub Cookbook.

Prerequisites

  • A CustomGPT API key with project‑update permission
  • Python 3 (Google Colab, Jupyter, or local)
  • The customgpt‑client package installed → pip install customgpt-client
  • The project ID of the bot you want to rename

Once those are ready, open your editor or notebook and follow along.

1 – Install & Authenticate the SDK

We begin by installing (if needed) and authenticating the SDK so every subsequent call carries your token.

# Install the SDK (run once per environment)
!pip install customgpt-client

# Import the SDK interface
from customgpt_client import CustomGPT
CustomGPT.api_key = "YOUR_API_TOKEN"   # ← replace with your real token

Get API keys

To get your API key, there are two ways:

Method 1 – Via Agent

  1. Agent > All Agents.
  2. Select your agent and go to deploy, click on the API key section and create an API. 

Method 2 – Via Profile section.

  1. Go to profile (top right corner of your screen)
  2. Click on My Profile
  3. You will see the screen something like this (below screenshot). Here you can click on “Create API key”, give it a name and copy the key.
Create API
CustomGPT.ai API tab showing the access key step required before Python SDK requests can rename an agent

Please save this secret key somewhere safe and accessible. For security reasons, You won’t be able to view it again through your CustomGPT.ai account. If you lose this secret key, you’ll need to generate a new one.

The api_key assignment means you don’t have to manually set headers—every SDK method now runs under your account.

2 – Retrieve the Current Project Name

Before changing anything, it’s smart to confirm the existing name before updating an agent’s name and ensure you’re targeting the correct project.

# Pull current project metadata
project_info = CustomGPT.Project.get(
    project_id="YOUR_PROJECT_ID"       # ← your existing project ID
)

print("Current Name:", project_info.parsed.data.project_name)

Here’s what’s happening:

  • Project.get calls GET /projects/{id} and returns a structured object.
  • We print project_name so we know the bot’s current label.

With confirmation in hand, let’s move on to renaming.

3 – Update the Project Name

Now you can rename or update an agent name (project name)—for clarity, versioning, or branding.

update_resp = CustomGPT.Project.update(
    project_id="YOUR_PROJECT_ID",       # Target project
    project_name="New Project Name v2"  # Desired new name
)

print("Rename Status:", update_resp.status)   # Expect "success"

Explanation of key lines:

  • Project.update issues a PATCH/PUT to /projects/{id}.
  • Passing project_name instructs the API to set the new label.
  • A “success” status in the response confirms the backend accepted your change.

Great—API says it’s successful. Let’s double‑check.

4 – Verify the Change

Fetching the project again ensures the new name is propagated.

project_updated = CustomGPT.Project.get(
    project_id="YOUR_PROJECT_ID"
)

print("Updated Name:", project_updated.parsed.data.project_name)

If you see “New Project Name v2” (or whatever you set), you’re all done.

5 – Troubleshooting & Tips

Rename didn’t stick?

  1. Make sure you spelled the key project_name exactly.
  2. Confirm your API key has the update scope.
  3. Retry after a few seconds—network hiccups happen.

Accidentally renamed the wrong bot?
Just call Project.update again with the original name.

Want to rename many projects?
Put the rename code in a loop over a list of project_ids.

For other errors—rate limits, auth failures—check the response body and consult the API docs.

Related Guides

Frequently Asked Questions

Why does renaming an agent matter if the bot still works the same?

GPT Legal has already handled 19,000+ queries, attracted 5,000+ monthly visitors, and converted 50 paying subscribers. Once you manage more than one live bot, a clear agent name helps you identify the right project before you update, verify, or troubleshoot it. That is especially useful when you separate production, test, or audience-specific agents.

Does changing an agent name in Python break the project ID or existing integrations?

No. In the SDK flow, you fetch a project by project_id, update its project_name, and then verify the result with another read. That means the rename changes the human-readable name while your code still targets the same project_id. If an integration depends on that project_id, it should keep pointing to the same agent after the rename.

How do you safely rename a chatbot project in Python?

“Powered by my custom-built Theory of Change AIM GPT agent on the CustomGPT.ai platform. Rapidly Develop a Credible Theory of Change with AI-Augmented Collaboration.” — Barry Barresi, Social Impact Consultant. A safe rename workflow is: authenticate with your API key, call Project.get() to confirm the current project_name, call Project.update() with the same project_id and the new name, and then call Project.get() again to verify the change. Fetching the current name first helps you confirm that you are editing the correct project.

Why didn’t my new agent name show up in my website widget or deployment?

“They’ve officially cracked the sub-second barrier, a breakthrough that fundamentally changes the user experience from merely ‘interactive’ to ‘instantaneous’.” — Bill French, Technology Strategist. Fast responses still benefit from accurate labeling. If a public deployment still shows the old name, first verify the rename succeeded by fetching the project again in Python and checking the updated project_name. If the API value is correct, then review the deployment or branding settings for that public surface before assuming the rename failed.

What usually causes an agent rename to fail in the Python SDK?

The most common causes are authentication or targeting errors: using the wrong API key, using a key without project-update permission, or passing the wrong project_id. The tutorial lists all three as required dependencies for the rename workflow. If the name does not change, re-check the key, confirm it has project-update permission, and verify that the project_id matches the bot you intended to edit.

Does renaming an agent improve answer quality or retrieval accuracy?

No. Renaming changes the project name, not the underlying knowledge sources or retrieval setup. Answer quality depends on the bot’s data and configuration. The RAG benchmark shows that CustomGPT.ai outperformed OpenAI on retrieval accuracy, but that benchmark measures retrieval performance rather than the label attached to a project.

Conclusion

You just learned how to:

  1. Authenticate the CustomGPT Python SDK
  2. Fetch a project’s existing metadata
  3. Rename the project in a single API call
  4. Verify that the new name is saved

This simple pattern—GET, UPDATE, GET—is handy whenever you need to tweak basic project properties. Keep your naming conventions consistent, and your future self (and teammates) will thank you.

Happy coding, and keep those bot names clear and descriptive!

Related Resources

These guides expand on nearby CustomGPT.ai SDK tasks and platform capabilities.

  • Update and Delete Conversations — Learn how to modify or remove conversations through the SDK when managing chat data alongside agent updates.
  • Delete Agents with Python SDK — This walkthrough covers removing an agent using the CustomGPT.ai RAG API Python SDK as part of your agent lifecycle workflow.
  • Available Integrations — Explore the tools and services CustomGPT.ai connects with to extend your agents across the rest of your stack.
  • Get Page Metadata — See how to retrieve page metadata with the CustomGPT.ai RAG API Python SDK for better content inspection and management.

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