Stop hardcoding API keys in your AI apps

Managing API keys for large language models (LLMs) becomes increasingly complex as organizations scale, with various providers such as OpenAI, Anthropic, Google, Azure, AWS Bedrock, and Mistral each issuing their own credentials. This complexity can lead to scattered credentials across apps and environments, making it difficult for security teams to maintain control and comply with audit requirements. The proposed solution is to use an AI gateway, such as Portkey, which centralizes access through a single API, reducing the need for multiple keys and allowing credentials to be managed through existing secret management infrastructure like AWS Secrets Manager, Azure Key Vault, or HashiCorp Vault. By using secret references, applications can securely access model providers without directly storing credentials, simplifying key rotation and access control while maintaining the existing security protocols of the organization. This approach also allows for scoped access to credentials, ensuring that different teams have appropriate access based on their roles and responsibilities.

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