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The agent now speaks first with session.generate_reply, so the LLM writes the greeting in its own character and expressive mode applies. Update the greeting scenario to require the introduction. Co-Authored-By: Claude <noreply@anthropic.com>
Co-Authored-By: Claude <noreply@anthropic.com>
Co-Authored-By: Claude <noreply@anthropic.com>
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Nov 4, 2026
Match livekit-examples/agent-starter-python#116: greet the user enthusiastically and offer to help, and align the greeting scenario with it. Co-Authored-By: Claude <noreply@anthropic.com>
bcherry
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The agent now speaks first. Right after
ctx.connect(), it callssession.generate_reply()with the instruction "Enthusiastically greet the user and offer to help." Usinggenerate_replyrather thansaylets the LLM write the line in the agent's own character, so expressive mode applies to it too. This matches livekit-examples/agent-starter-node#76.The "Greets and offers help" scenario now requires the agent to open the conversation by enthusiastically greeting the user and offering to help. The brevity and no-formatting requirements are unchanged.
Testing
uv run ruff format/uv run ruff check: clean.tests/test_agent.pyis fully commented out, so pytest collects no tests.lk agent simulate text --scenarios scenarios.yaml: 3/3 passed. The agent opened with "Hello there! I am so excited to help you today. What can I do for you?"🤖 Generated with Claude Code