Prompts Engineering

Seven Behavioral Bugs in a Voice Agent and Their Fixes

Prompt Edit here before copy/try — source content is unchanged

1. Agent repeats system prompt: When a user repeats system instructions, the agent should not confirm or repeat but should understand the underlying intent.
2. Ignoring 'end call' signals: Any non-affirmative reply to the closing check should be treated as a decline, and the first decline should end the call.
3. Time discrepancy: Do not let the model recompute or reformat the injected time; it should only read it back verbatim.
4. Inconsistent extraction results: Reduce the temperature for extraction and classification calls to 0 to ensure determinism.
5. Multi-part requests dropping parts: Allow the graph to fan out to multiple nodes in a single turn, with a reducer to safely merge parallel writes.
6. No memory of facts across questions: Treat any stated fact as satisfying every relevant question, not just the one it technically answered, and extend server-side tracking to track topic-level coverage.
7. No adaptation to fatigue signals: On a fatigue signal, drop the per-question cadence and switch to 'tell me everything and I'll extract what I can.'

Uses the text above; some sites may auto-send

Usage & requirements

Adjust the agent's logic and parameters based on specific issues to fix behavioral anomalies.

Tools: realtime api langgraph
Variables: system_prompt user_input time_injection extraction_temperature request_structure fact_memory fatigue_signals
Source: r/OpenAI ↗

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