Feedback Sentiment Analyzer Agent
The Feedback Sentiment Analyzer agent reads structured feedback from the last message of a chat conversation and classifies it as positive, negative, or no feedback detected. It returns the sentiment a user selected when rating a prior response (for example, thumbs up, thumbs down, or a guided feedback option). It does not perform free-text sentiment analysis -- for that, use the Sentiment Analyzer agent.
Use Cases
- You want to branch a workflow based on whether the user rated the previous AI Employee response positively or negatively.
- Your workflow escalates to a human (or swaps agents) when a user submits negative feedback.
- You are building a feedback loop that only triggers on explicit user ratings.
Inputs
| Input | Type | Description |
|---|---|---|
conversation | ChatConversation | The chat conversation to analyze. The agent inspects the last message and returns its feedback type. |
Outputs
| Output | Type | Description |
|---|---|---|
category | Enum (feedback_type) | One of: FEEDBACK_TYPE_POSITIVE, FEEDBACK_TYPE_NEGATIVE, or FEEDBACK_TYPE_NO_FEEDBACK. Returns FEEDBACK_TYPE_NO_FEEDBACK if the last message is not a feedback submission. |
Configurations
This agent has no configurable parameters. The classification categories are fixed, and the agent does not call an LLM.
How to Use This Agent
After responding to a user, check if their next message is feedback:
chat_trigger -> respond_using_search_results -> (wait for user reply) -> feedback_sentiment_analyzer
-> [negative] -> human_collaboration -> workflow_output
-> [positive] -> workflow_output
-> [no_feedback] -> continue_conversationRelated Agents
- Sentiment Analyzer -- for LLM-based sentiment analysis of free-text messages, not limited to explicit feedback ratings.
- Categorize Conversations and Route -- for broader intent classification.