Dynamic authentication

Your API may require dynamic authentication where credentials need to be generated or refreshed for each request, such as signing short-lived JWTs or rotating tokens. Fern-generated SDKs support this pattern through language-specific approaches.

Language-specific guides

Each language has its own recommended approach for implementing dynamic authentication:

TypeScript

Use custom fetcher middleware to inject authentication logic in a single place for all requests. Supports JWT signing, OAuth token refresh, and more.

Python

Use method overrides to inject authentication logic for each API call. Supports JWT signing, OAuth token refresh, and more.

Common use cases

Dynamic authentication is useful for several scenarios:

Short-lived JWT signing: Generate and sign JWTs that expire after a short period (e.g., 15 seconds) for enhanced security
OAuth token refresh: Automatically refresh expired access tokens before each request
HMAC (Hash-based Message Authentication Code) signing: Sign requests with HMAC signatures based on request content
Rotating API keys: Switch between multiple API keys based on rate limits or other criteria
Time-based tokens: Generate tokens that include timestamps or nonces for replay protection

Important considerations

When implementing dynamic authentication, keep these language-agnostic considerations in mind:

Security

Secure key storage: Never hardcode private keys or secrets; use environment variables or secure key management systems
Server-side only: For JWT signing with private keys, ensure this is only done in server-side code, never in browser environments
Avoid double authentication: If your API already uses bearer token authentication in the Fern definition, be careful not to override existing authentication headers

Performance

Token caching: Cache tokens to avoid regenerating them on every request, balancing security (shorter token lifetime) with performance (less frequent regeneration)
Grace period: Refresh tokens slightly before they expire to avoid edge cases where a token expires during request processing
Concurrency: Be mindful of race conditions when caching tokens in multi-threaded environments

Time synchronization

Clock drift: Be aware of potential clock drift between your client and server; consider adding tolerance to token expiration checks
Timestamp precision: Use Unix timestamps (seconds since epoch) for JWT iat and exp claims to match standards

Language-specific guides

Each language has its own recommended approach for implementing dynamic authentication:

TypeScript

Use custom fetcher middleware to inject authentication logic in a single place for all requests. Supports JWT signing, OAuth token refresh, and more.

Python

Use method overrides to inject authentication logic for each API call. Supports JWT signing, OAuth token refresh, and more.

Common use cases

Dynamic authentication is useful for several scenarios:

Short-lived JWT signing: Generate and sign JWTs that expire after a short period (e.g., 15 seconds) for enhanced security
OAuth token refresh: Automatically refresh expired access tokens before each request
HMAC (Hash-based Message Authentication Code) signing: Sign requests with HMAC signatures based on request content
Rotating API keys: Switch between multiple API keys based on rate limits or other criteria
Time-based tokens: Generate tokens that include timestamps or nonces for replay protection

Important considerations

When implementing dynamic authentication, keep these language-agnostic considerations in mind:

Security

Secure key storage: Never hardcode private keys or secrets; use environment variables or secure key management systems
Server-side only: For JWT signing with private keys, ensure this is only done in server-side code, never in browser environments
Avoid double authentication: If your API already uses bearer token authentication in the Fern definition, be careful not to override existing authentication headers

Performance

Token caching: Cache tokens to avoid regenerating them on every request, balancing security (shorter token lifetime) with performance (less frequent regeneration)
Grace period: Refresh tokens slightly before they expire to avoid edge cases where a token expires during request processing
Concurrency: Be mindful of race conditions when caching tokens in multi-threaded environments

Time synchronization

Clock drift: Be aware of potential clock drift between your client and server; consider adding tolerance to token expiration checks
Timestamp precision: Use Unix timestamps (seconds since epoch) for JWT iat and exp claims to match standards

Dynamic authentication

Dynamic authentication

Language-specific guides

Common use cases

Important considerations

Security

Performance

Time synchronization

See also

Language-specific guides

Common use cases

Important considerations

Security

Performance

Time synchronization

See also