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New features: Domain_Requested_LLM_Composition, Domain_Requested_RAG, Offline_Workflow_Regression, Pause_Resume_Workflow, Voice_Interruption_Replay, Workflow_Error_Recovery, Durable Idempotency, Workflow_Pause_Resume, Dynamic_Transaction_States, Post_Finalization_Replay, Retrieval_Tool_Guardrails
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docs/features/en/08_route_stickiness.md
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docs/features/en/08_route_stickiness.md
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# Route Stickiness
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> `agent_framework_oci` feature — English guide.
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**Main implementation:** `routing/enterprise_router.py + runtime/agent_runtime.py`
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---
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### 1. What it is
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Prevents short follow-up messages from unnecessarily switching the conversation to another agent.
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### 2. Problem it solves
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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.
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### 3. Simplified flow
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```text
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current message
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+ short history
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+ previous route
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↓
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semantic continuity
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↓
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keep route or handoff
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```
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### 4. How it works internally
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Route Stickiness evaluates whether a new message is semantically continuous with the current subject/agent. It reduces agent ping-pong for messages such as “what about that amount?”, “yes”, “the second one”, or “and last month?”.
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Existing settings include `ENABLE_ROUTE_STICKINESS`, `ROUTE_STICKINESS_LLM_PROFILE`, `ROUTE_STICKINESS_CONFIDENCE_THRESHOLD`, `ROUTE_STICKINESS_HISTORY_TURNS`, and `ROUTE_STICKINESS_MAX_TOKENS`. The decision may still allow handoff when there is enough evidence of a topic change.
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### 5. How to enable/configure
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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.
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### 6. Example
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```env
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ENABLE_ROUTE_STICKINESS=true
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ROUTE_STICKINESS_CONFIDENCE_THRESHOLD=0.90
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ROUTE_STICKINESS_HISTORY_TURNS=2
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ROUTE_STICKINESS_MAX_TOKENS=80
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```
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### 7. Telemetry and observability
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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.
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### 8. How to test
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1. Add a unit test for the core behavior.
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2. Add a runtime integration test when state spans multiple turns.
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3. Test the happy path and at least one failure/rejection path.
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4. Confirm retries/replays do not duplicate side effects for transactional features.
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5. In production, also validate telemetry and ID correlation.
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### 9. Common mistakes
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- A threshold that is too low may trap the user on the wrong agent.
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- A threshold that is too high may lose continuity on short follow-ups.
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- Stickiness should not block explicit handoff when the user clearly changes intent.
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### 10. Relationship with other features
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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**.
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### 11. Repository references
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- `libs/agent_framework/src/agent_framework/routing/enterprise_router.py`
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- `libs/agent_framework/src/agent_framework/runtime/agent_runtime.py`
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- `Tuning-Performance/`
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- `Documentacao/`
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- `libs/agent_framework/docs/`
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