> ## Documentation Index
> Fetch the complete documentation index at: https://braintrust.dev/docs/llms.txt
> Use this file to discover all available pages before exploring further.

# Creating prompts with encoded custom provider model names

export const plans_0 = "Plans: Any"

export const deployments_0 = "Deployments: Any"

export const data_plane_version_0 = undefined

export const use_case_0 = "Use case - Creating or updating prompts programmatically when using a custom AI provider with base64-encoded model identifiers"

<Note>
  **Applies to:**

  * Plan - {plans_0}
  * Deployment - {deployments_0}
  * {data_plane_version_0}
  * {use_case_0}
</Note>

## Summary

**Issue:** Creating a prompt via the Python SDK with a custom provider model fails when passing the human-readable model name as the `model` parameter.

**Cause:** When configuring custom providers in Braintrust, you can use base64-encoded model identifiers. In this case, the SDK requires the exact encoded identifier as configured, rather than the display name shown in the UI.

**Resolution:** Pass the base64-encoded model identifier from your custom provider's Models configuration as the `model` value.

## Resolution steps

### Step 1: Find the encoded model identifier

Navigate to **Settings** → **AI providers** → your custom provider → **Models**. Copy the full base64-encoded model identifier string.

### Step 2: Pass the encoded identifier as `model`

Use the encoded string directly in `project.prompts.create`:

```python theme={"theme":{"light":"github-light","dark":"github-dark-dimmed"}}
import braintrust

project = braintrust.projects.create(name="your-project")

project.prompts.create(
    name="my-prompt",
    slug="my-prompt",
    model="<base64-encoded-model-identifier>",  # Use the encoded string from provider config
    messages=[
        {"role": "system", "content": "You are a helpful assistant."}
    ]
)
```