> For the complete documentation index, see [llms.txt](https://academy.any2info.com/any2info-academy/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://academy.any2info.com/any2info-academy/no-code-platform/ai-studio/agents/getting-started/providers/openai.md).
# OpenAI
### 1. Create an account with the AI provider
Before using OpenAI, an account must be created.
* Go to the OpenAI platform
* Sign up using an organization account rather than a personal account (recommended)
* Verify the account according to OpenAI’s requirements
***
### 2. Create a project
OpenAI organizes usage and billing through **projects**.
* Create a new project within your OpenAI organization
* Use a clear naming convention (e.g. `ai-studio-production` or `ai-studio-development`)
* Ensure the project is associated with the correct billing setup
Projects allow you to:
* Isolate environments (dev / test / prod)
* Track usage per application or team
* Apply consistent security and cost controls
***
### 3. Create an API key (and secure storage)
To connect the platform to OpenAI, an API key is required.
#### Create an API key
* Generate an API key within the OpenAI project
* Copy the key immediately, as it will only be shown once
#### Secure storage
* Store API keys in a secure location (e.g. secrets manager or encrypted storage)
* Never hardcode API keys in source code
* Rotate keys periodically, especially for production environments
Within the platform, API keys are stored separately from connection definitions to prevent accidental exposure.
***
### 4. Logging
Logging provides insight into how OpenAI is being used and helps with debugging and compliance.
Typical logging includes:
* Request metadata
* Model used
* Token usage
* Errors and failures
Logging **should not** include:
* Full document contents (unless explicitly required)
* Personal or sensitive data without proper justification
***
### 5. Usage and cost monitoring
OpenAI provides usage metrics at the project level.
You should regularly monitor:
* Token usage per model
* Cost per project or environment
* Spikes in usage that may indicate misconfiguration
**Recommendations:**
* Set internal budgets or alerts where possible
* Use lighter models for analysis tasks when appropriate
* Review usage periodically as agents are added or modified
***
### Next steps
Once your OpenAI account and project are set up:
* Create a connection in **Data Studio**
* Select OpenAI as the provider
* Proceed to creating your first AI agent
---
# Agent Instructions
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