> For clean Markdown of any page, append .md to the page URL.
> For a complete documentation index, see https://docs.nvidia.com/nemo/labs-voice-agent/llms.txt.
> For AI client integration (Claude Code, Cursor, etc.), connect to the MCP server at https://docs.nvidia.com/nemo/labs-voice-agent/_mcp/server.

# nemo_voice_agent.evaluation.scenarios.data.tau2_airline

tau2\_airline scenarios package.

`base.py` holds `Tau2AirlineBaseScenario`. `group_Nx.py` modules hold
auto-scaffolded scenarios (see scripts/prepare\_tau2\_data/generate\_airline\_scaffolds.py).
Importing this package side-imports every group so registry decoration fires
for all 50 base-split tau2\_airline scenarios.

## Submodules

* **[`nemo_voice_agent.evaluation.scenarios.data.tau2_airline.base`](/nemo/labs-voice-agent/nemo-voice-agent/nemo_voice_agent/evaluation/scenarios/data/tau2_airline/base)**
* **[`nemo_voice_agent.evaluation.scenarios.data.tau2_airline.group_0x`](/nemo/labs-voice-agent/nemo-voice-agent/nemo_voice_agent/evaluation/scenarios/data/tau2_airline/group_0x)**
* **[`nemo_voice_agent.evaluation.scenarios.data.tau2_airline.group_1x`](/nemo/labs-voice-agent/nemo-voice-agent/nemo_voice_agent/evaluation/scenarios/data/tau2_airline/group_1x)**
* **[`nemo_voice_agent.evaluation.scenarios.data.tau2_airline.group_2x`](/nemo/labs-voice-agent/nemo-voice-agent/nemo_voice_agent/evaluation/scenarios/data/tau2_airline/group_2x)**
* **[`nemo_voice_agent.evaluation.scenarios.data.tau2_airline.group_3x`](/nemo/labs-voice-agent/nemo-voice-agent/nemo_voice_agent/evaluation/scenarios/data/tau2_airline/group_3x)**
* **[`nemo_voice_agent.evaluation.scenarios.data.tau2_airline.group_4x`](/nemo/labs-voice-agent/nemo-voice-agent/nemo_voice_agent/evaluation/scenarios/data/tau2_airline/group_4x)**