Create an agent
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Agent name: The name of the agent is used to reference it elsewhere in Console, so you should pick something that’s easily identifiable. You can enter “Car Test Drive” here.
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Agent description (optional): This description is displayed for extra context on the agent list screen you just saw. For this agent you can enter “An outbound AI agent proactively reaching out to individuals who have expressed interest in scheduling a Toyota test drive. Its primary goal is to gather essential details needed to arrange the test drive appointment efficiently.” here.
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Prompt: The prompt that the agent will use for the LLM. Select your Car Test Drive prompt here.
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Message: The message that the agent will deliver to the user at the beginning of a conversation. Select your Car Test Drive greeting here.
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Timezone: The agent’s home timezone. You can select your local timezone here.
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Speech-to-text: The speech-to-text provider that the agent will use to interpret user input in voice conversations. You can select Google STT V1 here.
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Languages (optional): If you have configured a language group, you can select it here to provide the agent access to the language group’s languages and voices. You can skip this field for the tutorial.
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Busy sound: The sound that will be played to the user in voice conversations after they finish speaking while they’re waiting for a response from the agent. You can select Keyboard 1 here.
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Label (optional): Labels are used for filtering agents on the agent list screen. You can skip this field for the tutorial.
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Tool configuration: You can use this section to override default tool static parameter values at the agent level. Enter the Google Form ID for the ‘get_google_form_questions’ parameters and the Google Sheet ID for the ‘append_google_sheet_row’ along with which range to write the data to.
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Session configuration / Tool headers: You can use this section to set other agent-level configuration values. Add a tool header with the following values:
Header
Value
