# Authentication > `agent_framework_oci` feature — English guide. **Main implementation:** `security/authentication.py` --- ### 1. What it is Checks who may access protected APIs, gateways, and services before the request reaches the agent. ### 2. Problem it solves Production agents should not rely on prompts alone to “do the right thing”. This feature moves a specific responsibility into a controlled framework layer, reducing unpredictable behavior and duplicate domain-agent code. ### 3. Simplified flow ```text Client/System ↓ Authentication Provider ↓ valid credential? ├─ no → 401/deny └─ yes → authenticated principal → agent ``` ### 4. How it works internally The framework exposes an `AuthenticationProvider` abstraction with multiple implementations. Current providers include `NoAuthenticationProvider`, `DenyAuthenticationProvider`, `BasicAuthenticationProvider`, `ApiKeyAuthenticationProvider`, `StaticBearerAuthenticationProvider`, `JwtAuthenticationProvider`, `OAuth2IntrospectionAuthenticationProvider`, and `TrustedProxyAuthenticationProvider`. Authentication produces an `AuthenticatedPrincipal` containing `subject`, `scheme`, and optional `claims`. Domain code should not validate credentials directly. ### 5. How to enable/configure Exact activation depends on the template/agent. Check framework settings, YAML configuration, and the service template. Not every feature requires a global flag: some are activated by the contract returned from a tool/workflow. ### 6. Example ```python from agent_framework.security.authentication import BasicAuthenticationProvider provider = BasicAuthenticationProvider( client_id="client-a", secret_hash="pbkdf2_sha256:...", ) result = await provider.authenticate(request) if not result.authenticated: # deny access ... ``` Secrets may be verified as plain, SHA-256, or PBKDF2 values; for production, prefer strong hashes and managed secret stores. ### 7. Telemetry and observability When the feature participates in an agent execution, preserve `request_id`, `trace_id`, `session_id`, `agent_id`, `message_id`, and other correlation keys in state/events. This makes the decision observable through Langfuse/Observer without embedding observability logic in the domain. ### 8. How to test 1. Add a unit test for the core behavior. 2. Add a runtime integration test when state spans multiple turns. 3. Test the happy path and at least one failure/rejection path. 4. Confirm retries/replays do not duplicate side effects for transactional features. 5. In production, also validate telemetry and ID correlation. ### 9. Common mistakes - Basic auth returns 401: validate the `Authorization: Basic ...` header and configured secret. - Do not confuse API authentication with `OCI_AUTH_MODE`; they solve different problems. - Avoid `NoAuthenticationProvider` in production unless explicitly accepted by architecture. ### 10. Relationship with other features Use this feature together with the framework's horizontal capabilities rather than creating a parallel implementation in domain-agent code. For transactional journeys, pay special attention to **Clarification**, **Pause/Resume**, **Durable Idempotency**, **Workflow Error Recovery**, and **Guardrails**. ### 11. Repository references - `libs/agent_framework/src/agent_framework/security/authentication.py` - `Tuning-Performance/` - `Documentacao/` - `libs/agent_framework/docs/`