aiassistant.go

// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.

package cmd

import (
	"context"
	"fmt"

	"github.com/team-telnyx/telnyx-cli/internal/apiquery"
	"github.com/team-telnyx/telnyx-cli/internal/requestflag"
	"github.com/team-telnyx/telnyx-go/v4"
	"github.com/team-telnyx/telnyx-go/v4/option"
	"github.com/tidwall/gjson"
	"github.com/urfave/cli/v3"
)

var aiAssistantsCreate = requestflag.WithInnerFlags(cli.Command{
	Name:    "create",
	Usage:   "Create a new AI Assistant.",
	Suggest: true,
	Flags: []cli.Flag{
		&requestflag.Flag[string]{
			Name:     "instructions",
			Usage:    "System instructions for the assistant. These may be templated with [dynamic variables](https://developers.telnyx.com/docs/inference/ai-assistants/dynamic-variables)",
			Required: true,
			BodyPath: "instructions",
		},
		&requestflag.Flag[string]{
			Name:     "name",
			Required: true,
			BodyPath: "name",
		},
		&requestflag.Flag[map[string]any]{
			Name:     "conversation-flow",
			Usage:    "Conversation flow as supplied by API clients (create / update).\n\nA directed graph of `FlowNodeReq` connected by `FlowEdge`s. Validation\nenforces unique node/edge IDs, that `start_node_id` references a real\nnode, and that every edge's endpoints reference real nodes.",
			BodyPath: "conversation_flow",
		},
		&requestflag.Flag[string]{
			Name:     "description",
			BodyPath: "description",
		},
		&requestflag.Flag[map[string]any]{
			Name:     "dynamic-variables",
			Usage:    "Map of dynamic variables and their default values",
			BodyPath: "dynamic_variables",
		},
		&requestflag.Flag[int64]{
			Name:     "dynamic-variables-webhook-timeout-ms",
			Usage:    "Timeout in milliseconds for the dynamic variables webhook. Must be between 1 and 10000 ms. If the webhook does not respond within this timeout, the call proceeds with default values. See the [dynamic variables guide](https://developers.telnyx.com/docs/inference/ai-assistants/dynamic-variables).",
			Default:  1500,
			BodyPath: "dynamic_variables_webhook_timeout_ms",
		},
		&requestflag.Flag[string]{
			Name:     "dynamic-variables-webhook-url",
			Usage:    "If `dynamic_variables_webhook_url` is set, Telnyx sends a POST request to this URL at the start of the conversation to resolve dynamic variables. **Gotcha:** the webhook response must wrap variables under a top-level `dynamic_variables` object, e.g. `{\"dynamic_variables\": {\"customer_name\": \"Jane\"}}`. Returning a flat object will be ignored and variables will fall back to their defaults. See the [dynamic variables guide](https://developers.telnyx.com/docs/inference/ai-assistants/dynamic-variables) for the full request/response format and timeout behavior.",
			BodyPath: "dynamic_variables_webhook_url",
		},
		&requestflag.Flag[[]string]{
			Name:     "enabled-feature",
			BodyPath: "enabled_features",
		},
		&requestflag.Flag[map[string]any]{
			Name:     "external-llm",
			BodyPath: "external_llm",
		},
		&requestflag.Flag[map[string]any]{
			Name:     "fallback-config",
			BodyPath: "fallback_config",
		},
		&requestflag.Flag[string]{
			Name:     "greeting",
			Usage:    "Text that the assistant will use to start the conversation. This may be templated with [dynamic variables](https://developers.telnyx.com/docs/inference/ai-assistants/dynamic-variables). Use an empty string to have the assistant wait for the user to speak first. Use the special value `<assistant-speaks-first-with-model-generated-message>` to have the assistant generate the greeting based on the system instructions.",
			BodyPath: "greeting",
		},
		&requestflag.Flag[map[string]any]{
			Name:     "insight-settings",
			BodyPath: "insight_settings",
		},
		&requestflag.Flag[[]map[string]any]{
			Name:     "integration",
			Usage:    "Connected integrations attached to the assistant. The catalog of available integrations is at `/ai/integrations`; the user's connected integrations are at `/ai/integrations/connections`. Each item references a catalog integration by `integration_id`.",
			Default:  []map[string]any{},
			BodyPath: "integrations",
		},
		&requestflag.Flag[map[string]any]{
			Name:     "interruption-settings",
			Usage:    "Settings for interruptions and how the assistant decides the user has finished speaking. These timings are most relevant when using non turn-taking transcription models. For turn-taking models like `deepgram/flux`, end-of-turn behavior is controlled by the transcription end-of-turn settings under `transcription.settings` (`eot_threshold`, `eot_timeout_ms`, `eager_eot_threshold`).",
			BodyPath: "interruption_settings",
		},
		&requestflag.Flag[string]{
			Name:     "llm-api-key-ref",
			Usage:    "This is only needed when using third-party inference providers selected by `model`. The `identifier` for an integration secret [/v2/integration_secrets](https://developers.telnyx.com/api-reference/integration-secrets/create-a-secret) that refers to your LLM provider's API key. For bring-your-own endpoint authentication, use `external_llm.llm_api_key_ref` instead. Warning: Free plans are unlikely to work with this integration.",
			BodyPath: "llm_api_key_ref",
		},
		&requestflag.Flag[[]map[string]any]{
			Name:     "mcp-server",
			Usage:    "MCP servers attached to the assistant. Create MCP servers with `/ai/mcp_servers`, then reference them by `id` here.",
			Default:  []map[string]any{},
			BodyPath: "mcp_servers",
		},
		&requestflag.Flag[map[string]any]{
			Name:     "messaging-settings",
			BodyPath: "messaging_settings",
		},
		&requestflag.Flag[string]{
			Name:     "model",
			Usage:    "ID of the model to use when `external_llm` is not set. You can use the [Get models API](https://developers.telnyx.com/api-reference/openai-chat/get-available-models-openai-compatible) to see available models. If `external_llm` is provided, the assistant uses `external_llm` instead of this field. If neither `model` nor `external_llm` is provided, Telnyx applies the default model.",
			BodyPath: "model",
		},
		&requestflag.Flag[map[string]any]{
			Name:     "observability-settings",
			BodyPath: "observability_settings",
		},
		&requestflag.Flag[map[string]any]{
			Name:     "post-conversation-settings",
			Usage:    "Configuration for post-conversation processing. When enabled, the assistant receives one additional LLM turn after the conversation ends, allowing it to execute tool calls such as logging to a CRM or sending a summary. The assistant can execute multiple parallel or sequential tools during this phase. Telephony-control tools (e.g. hangup, transfer) are unavailable post-conversation. Beta feature.",
			BodyPath: "post_conversation_settings",
		},
		&requestflag.Flag[map[string]any]{
			Name:     "privacy-settings",
			BodyPath: "privacy_settings",
		},
		&requestflag.Flag[[]string]{
			Name:     "tag",
			Usage:    "Tags associated with the assistant. Tags can also be managed with the assistant tag endpoints.",
			Default:  []string{},
			BodyPath: "tags",
		},
		&requestflag.Flag[map[string]any]{
			Name:     "telephony-settings",
			BodyPath: "telephony_settings",
		},
		&requestflag.Flag[[]string]{
			Name:     "tool-id",
			Usage:    "IDs of shared tools to attach to the assistant. New integrations should prefer `tool_ids` over inline `tools`.",
			BodyPath: "tool_ids",
		},
		&requestflag.Flag[[]map[string]any]{
			Name:     "tool",
			Usage:    "Deprecated for new integrations. Inline tool definitions available to the assistant. Prefer `tool_ids` to attach shared tools created with the AI Tools endpoints.",
			BodyPath: "tools",
		},
		&requestflag.Flag[map[string]any]{
			Name:     "transcription",
			BodyPath: "transcription",
		},
		&requestflag.Flag[map[string]any]{
			Name:     "voice-settings",
			BodyPath: "voice_settings",
		},
		&requestflag.Flag[map[string]any]{
			Name:     "widget-settings",
			Usage:    "Configuration settings for the assistant's web widget.",
			BodyPath: "widget_settings",
		},
	},
	Action:          handleAIAssistantsCreate,
	HideHelpCommand: true,
}, map[string][]requestflag.HasOuterFlag{
	"conversation-flow": {
		&requestflag.InnerFlag[[]map[string]any]{
			Name:       "conversation-flow.nodes",
			Usage:      "All nodes in the flow. Must contain `start_node_id`. Each node is a prompt node (`type: prompt`) or a tool node (`type: tool`).",
			InnerField: "nodes",
		},
		&requestflag.InnerFlag[string]{
			Name:       "conversation-flow.start-node-id",
			Usage:      "ID of the node where the conversation begins.",
			InnerField: "start_node_id",
		},
		&requestflag.InnerFlag[[]map[string]any]{
			Name:       "conversation-flow.edges",
			Usage:      "Directed transitions between nodes. May be empty for a single-node flow.",
			InnerField: "edges",
		},
	},
	"external-llm": {
		&requestflag.InnerFlag[string]{
			Name:       "external-llm.base-url",
			Usage:      "Base URL for the external LLM endpoint.",
			InnerField: "base_url",
		},
		&requestflag.InnerFlag[string]{
			Name:       "external-llm.model",
			Usage:      "Model identifier to use with the external LLM endpoint.",
			InnerField: "model",
		},
		&requestflag.InnerFlag[string]{
			Name:       "external-llm.authentication-method",
			Usage:      "Authentication method used when connecting to the external LLM endpoint.",
			InnerField: "authentication_method",
		},
		&requestflag.InnerFlag[string]{
			Name:       "external-llm.certificate-ref",
			Usage:      "Integration secret identifier for the client certificate used with certificate authentication.",
			InnerField: "certificate_ref",
		},
		&requestflag.InnerFlag[bool]{
			Name:       "external-llm.forward-metadata",
			Usage:      "When `true`, Telnyx forwards the assistant's dynamic variables to the external LLM endpoint as a top-level `extra_metadata` object on the chat completion request body. Defaults to `false`. Example payload sent to the external endpoint: `{\"extra_metadata\": {\"customer_name\": \"Jane\", \"account_id\": \"acct_789\", \"telnyx_agent_target\": \"+13125550100\", \"telnyx_end_user_target\": \"+13125550123\"}}`. Distinct from OpenAI's native `metadata` field, which has its own size and type limits.",
			InnerField: "forward_metadata",
		},
		&requestflag.InnerFlag[string]{
			Name:       "external-llm.llm-api-key-ref",
			Usage:      "Integration secret identifier for the external LLM API key.",
			InnerField: "llm_api_key_ref",
		},
		&requestflag.InnerFlag[string]{
			Name:       "external-llm.token-retrieval-url",
			Usage:      "URL used to retrieve an access token when certificate authentication is enabled.",
			InnerField: "token_retrieval_url",
		},
	},
	"fallback-config": {
		&requestflag.InnerFlag[map[string]any]{
			Name:       "fallback-config.external-llm",
			InnerField: "external_llm",
		},
		&requestflag.InnerFlag[string]{
			Name:       "fallback-config.llm-api-key-ref",
			Usage:      "Integration secret identifier for the fallback model API key.",
			InnerField: "llm_api_key_ref",
		},
		&requestflag.InnerFlag[string]{
			Name:       "fallback-config.model",
			Usage:      "Fallback Telnyx-hosted model to use when the primary LLM provider is unavailable.",
			InnerField: "model",
		},
	},
	"insight-settings": {
		&requestflag.InnerFlag[string]{
			Name:       "insight-settings.insight-group-id",
			Usage:      "Reference to an Insight Group. Insights in this group will be run automatically for all the assistant's conversations.",
			InnerField: "insight_group_id",
		},
	},
	"integration": {
		&requestflag.InnerFlag[string]{
			Name:       "integration.integration-id",
			Usage:      "Catalog integration ID to attach. This is the `id` from the integrations catalog at `/ai/integrations` (the same value also appears as `integration_id` on entries returned by `/ai/integrations/connections`). It is **not** the connection-level `id` from `/ai/integrations/connections`.",
			InnerField: "integration_id",
		},
		&requestflag.InnerFlag[[]string]{
			Name:       "integration.allowed-list",
			Usage:      "Optional per-assistant allowlist of integration tool names. When omitted or empty, all tools allowed by the connected integration are available to the assistant.",
			InnerField: "allowed_list",
		},
	},
	"interruption-settings": {
		&requestflag.InnerFlag[bool]{
			Name:       "interruption-settings.disable-greeting-interruption",
			Usage:      "When true, disables user interruptions while the assistant greeting is playing.",
			InnerField: "disable_greeting_interruption",
		},
		&requestflag.InnerFlag[bool]{
			Name:       "interruption-settings.enable",
			Usage:      "Whether users can interrupt the assistant while it is speaking.",
			InnerField: "enable",
		},
		&requestflag.InnerFlag[map[string]any]{
			Name:       "interruption-settings.start-speaking-plan",
			Usage:      "Controls when the assistant starts speaking after the user stops. These thresholds primarily apply to non turn-taking transcription models. For turn-taking models like `deepgram/flux`, end-of-turn detection is driven by the transcription end-of-turn settings under `transcription.settings` instead.",
			InnerField: "start_speaking_plan",
		},
	},
	"mcp-server": {
		&requestflag.InnerFlag[string]{
			Name:       "mcp-server.id",
			Usage:      "ID of the MCP server to attach. This must be the `id` of an MCP server returned by the `/ai/mcp_servers` endpoints.",
			InnerField: "id",
		},
		&requestflag.InnerFlag[[]string]{
			Name:       "mcp-server.allowed-tools",
			Usage:      "Optional per-assistant allowlist of MCP tool names. When omitted, the assistant uses the MCP server's configured `allowed_tools`.",
			InnerField: "allowed_tools",
		},
	},
	"messaging-settings": {
		&requestflag.InnerFlag[int64]{
			Name:       "messaging-settings.conversation-inactivity-minutes",
			Usage:      "If more than this many minutes have passed since the last message, the assistant will start a new conversation instead of continuing the existing one.",
			InnerField: "conversation_inactivity_minutes",
		},
		&requestflag.InnerFlag[string]{
			Name:       "messaging-settings.default-messaging-profile-id",
			Usage:      "Default Messaging Profile used for messaging exchanges with your assistant. This will be created automatically on assistant creation.",
			InnerField: "default_messaging_profile_id",
		},
		&requestflag.InnerFlag[string]{
			Name:       "messaging-settings.delivery-status-webhook-url",
			Usage:      "The URL where webhooks related to delivery statused for assistant messages will be sent.",
			InnerField: "delivery_status_webhook_url",
		},
	},
	"observability-settings": {
		&requestflag.InnerFlag[string]{
			Name:       "observability-settings.host",
			InnerField: "host",
		},
		&requestflag.InnerFlag[string]{
			Name:       "observability-settings.prompt-label",
			InnerField: "prompt_label",
		},
		&requestflag.InnerFlag[string]{
			Name:       "observability-settings.prompt-name",
			InnerField: "prompt_name",
		},
		&requestflag.InnerFlag[string]{
			Name:       "observability-settings.prompt-sync",
			Usage:      "Whether to auto-publish the assistant's instructions as a Langfuse prompt.\n\nWhen ENABLED + prompt_name set, every assistant create/update pushes\n`instructions` to Langfuse via create_prompt and stores the returned\nversion in prompt_version.",
			InnerField: "prompt_sync",
		},
		&requestflag.InnerFlag[int64]{
			Name:       "observability-settings.prompt-version",
			InnerField: "prompt_version",
		},
		&requestflag.InnerFlag[string]{
			Name:       "observability-settings.public-key-ref",
			InnerField: "public_key_ref",
		},
		&requestflag.InnerFlag[string]{
			Name:       "observability-settings.secret-key-ref",
			InnerField: "secret_key_ref",
		},
		&requestflag.InnerFlag[string]{
			Name:       "observability-settings.status",
			Usage:      `Allowed values: "enabled", "disabled".`,
			InnerField: "status",
		},
	},
	"post-conversation-settings": {
		&requestflag.InnerFlag[bool]{
			Name:       "post-conversation-settings.enabled",
			Usage:      "Whether post-conversation processing is enabled. When true, the assistant will be invoked after the conversation ends to perform any final tool calls. Defaults to false.",
			InnerField: "enabled",
		},
	},
	"privacy-settings": {
		&requestflag.InnerFlag[bool]{
			Name:       "privacy-settings.data-retention",
			Usage:      "If true, conversation history and insights will be stored. If false, they will not be stored. This in‑tool toggle governs solely the retention of conversation history and insights via the AI assistant. It has no effect on any separate recording, transcription, or storage configuration that you have set at the account, number, or application level. All such external settings remain in force regardless of your selection here.",
			InnerField: "data_retention",
		},
	},
	"telephony-settings": {
		&requestflag.InnerFlag[string]{
			Name:       "telephony-settings.default-texml-app-id",
			Usage:      "Default Texml App used for voice calls with your assistant. This will be created automatically on assistant creation.",
			InnerField: "default_texml_app_id",
		},
		&requestflag.InnerFlag[string]{
			Name:       "telephony-settings.noise-suppression",
			Usage:      "The noise suppression engine to use. Use 'disabled' to turn off noise suppression.",
			InnerField: "noise_suppression",
		},
		&requestflag.InnerFlag[map[string]any]{
			Name:       "telephony-settings.noise-suppression-config",
			Usage:      "Configuration for noise suppression. Only applicable when noise_suppression is 'deepfilternet'.",
			InnerField: "noise_suppression_config",
		},
		&requestflag.InnerFlag[map[string]any]{
			Name:       "telephony-settings.recording-settings",
			Usage:      "Configuration for call recording format and channel settings.",
			InnerField: "recording_settings",
		},
		&requestflag.InnerFlag[bool]{
			Name:       "telephony-settings.supports-unauthenticated-web-calls",
			Usage:      "When enabled, allows users to interact with your AI assistant directly from your website without requiring authentication. This is required for FE widgets that work with assistants that have telephony enabled.",
			InnerField: "supports_unauthenticated_web_calls",
		},
		&requestflag.InnerFlag[int64]{
			Name:       "telephony-settings.time-limit-secs",
			Usage:      "Maximum duration in seconds for the AI assistant to participate on the call. When this limit is reached the assistant will be stopped. This limit does not apply to portions of a call without an active assistant (for instance, a call transferred to a human representative).",
			InnerField: "time_limit_secs",
		},
		&requestflag.InnerFlag[int64]{
			Name:       "telephony-settings.user-idle-reply-secs",
			Usage:      "Duration in seconds of end user silence before the assistant checks in on the user. When this limit is reached the assistant will prompt the user to respond. This is distinct from user_idle_timeout_secs which stops the assistant entirely.",
			InnerField: "user_idle_reply_secs",
		},
		&requestflag.InnerFlag[int64]{
			Name:       "telephony-settings.user-idle-timeout-secs",
			Usage:      "Maximum duration in seconds of end user silence on the call. When this limit is reached the assistant will be stopped. This limit does not apply to portions of a call without an active assistant (for instance, a call transferred to a human representative).",
			InnerField: "user_idle_timeout_secs",
		},
		&requestflag.InnerFlag[map[string]any]{
			Name:       "telephony-settings.voicemail-detection",
			Usage:      "Configuration for voicemail detection (AMD - Answering Machine Detection) on outgoing calls. These settings only apply if AMD is enabled on the Dial command. See [TeXML Dial documentation](https://developers.telnyx.com/api-reference/texml-rest-commands/initiate-an-outbound-call) for enabling AMD. Recommended settings: MachineDetection=Enable, AsyncAmd=true, DetectionMode=Premium.",
			InnerField: "voicemail_detection",
		},
	},
	"transcription": {
		&requestflag.InnerFlag[string]{
			Name:       "transcription.api-key-ref",
			Usage:      "Integration secret identifier for the transcription provider API key. Currently used for Azure transcription regions that require a customer-provided API key.",
			InnerField: "api_key_ref",
		},
		&requestflag.InnerFlag[string]{
			Name:       "transcription.language",
			Usage:      "The language of the audio to be transcribed. If not set, or if set to `auto`, supported models will automatically detect the language. For `deepgram/flux`, supported values are: `auto` (Telnyx language detection controls the language hint), `multi` (no language hint), and language-specific hints `en`, `es`, `fr`, `de`, `hi`, `ru`, `pt`, `ja`, `it`, and `nl`. For `soniox/stt-rt-v4`, `auto` omits the language hint and lets Soniox auto-detect; ISO 639-1 codes (e.g. `en`, `es`) bias detection toward that language.",
			InnerField: "language",
		},
		&requestflag.InnerFlag[string]{
			Name:       "transcription.model",
			Usage:      "The speech to text model to be used by the voice assistant. All Deepgram models are run on-premise.\n\n- `deepgram/flux` is optimized for turn-taking with multilingual language hints.\n- `deepgram/nova-3` is multilingual with automatic language detection.\n- `deepgram/nova-2` is Deepgram's previous-generation multilingual model.\n- `azure/fast` is a multilingual Azure transcription model.\n- `assemblyai/universal-streaming` is a multilingual streaming model with configurable turn detection.\n- `xai/grok-stt` is a multilingual Grok STT model.\n- `soniox/stt-rt-v4` is a multilingual streaming model with automatic language detection and configurable endpointing.\n- `parakeet/tdt-0.6b-v3` is a multilingual transcription model with automatic language detection.",
			InnerField: "model",
		},
		&requestflag.InnerFlag[string]{
			Name:       "transcription.region",
			Usage:      "Region on third party cloud providers (currently Azure) if using one of their models. Some regions require `api_key_ref`.",
			InnerField: "region",
		},
		&requestflag.InnerFlag[map[string]any]{
			Name:       "transcription.settings",
			InnerField: "settings",
		},
	},
	"voice-settings": {
		&requestflag.InnerFlag[string]{
			Name:       "voice-settings.voice",
			Usage:      "The voice to be used by the voice assistant. Check the full list of [available voices](https://developers.telnyx.com/docs/tts-stt/tts-available-voices) via our voices API.\nTo use ElevenLabs, you must reference your ElevenLabs API key as an integration secret under the `api_key_ref` field. See [integration secrets documentation](https://developers.telnyx.com/api-reference/integration-secrets/create-a-secret) for details. For Telnyx voices, use `Telnyx.<model_id>.<voice_id>` (e.g. Telnyx.KokoroTTS.af_heart).\nThe voice portion of the identifier supports [dynamic variables](https://developers.telnyx.com/docs/inference/ai-assistants/dynamic-variables) using mustache syntax (e.g. `Telnyx.Ultra.{{voice_id}}`). The variable is resolved at call time from your dynamic variables webhook, allowing you to select the voice dynamically per call.",
			InnerField: "voice",
		},
		&requestflag.InnerFlag[string]{
			Name:       "voice-settings.api-key-ref",
			Usage:      "The `identifier` for an integration secret [/v2/integration_secrets](https://developers.telnyx.com/api-reference/integration-secrets/create-a-secret) that refers to your ElevenLabs API key. Warning: Free plans are unlikely to work with this integration.",
			InnerField: "api_key_ref",
		},
		&requestflag.InnerFlag[map[string]any]{
			Name:       "voice-settings.background-audio",
			Usage:      "Optional background audio to play on the call. Use a predefined media bed, or supply a looped MP3 URL. If a media URL is chosen in the portal, customers can preview it before saving.",
			InnerField: "background_audio",
		},
		&requestflag.InnerFlag[bool]{
			Name:       "voice-settings.expressive-mode",
			Usage:      "Enables emotionally expressive speech using SSML emotion tags. When enabled, the assistant uses audio tags like angry, excited, content, and sad to add emotional nuance. Only supported for Telnyx Ultra voices.",
			InnerField: "expressive_mode",
		},
		&requestflag.InnerFlag[*string]{
			Name:       "voice-settings.language-boost",
			Usage:      "Enhances recognition for specific languages and dialects during MiniMax TTS synthesis. Default is null (no boost). Set to 'auto' for automatic language detection. Only applicable when using MiniMax voices.",
			InnerField: "language_boost",
		},
		&requestflag.InnerFlag[float64]{
			Name:       "voice-settings.similarity-boost",
			Usage:      "Determines how closely the AI should adhere to the original voice when attempting to replicate it. Only applicable when using ElevenLabs.",
			InnerField: "similarity_boost",
		},
		&requestflag.InnerFlag[float64]{
			Name:       "voice-settings.speed",
			Usage:      "Adjusts speech velocity. 1.0 is default speed; values less than 1.0 slow speech; values greater than 1.0 accelerate it. Only applicable when using ElevenLabs.",
			InnerField: "speed",
		},
		&requestflag.InnerFlag[float64]{
			Name:       "voice-settings.style",
			Usage:      "Determines the style exaggeration of the voice. Amplifies speaker style but consumes additional resources when set above 0. Only applicable when using ElevenLabs.",
			InnerField: "style",
		},
		&requestflag.InnerFlag[float64]{
			Name:       "voice-settings.temperature",
			Usage:      "Determines how stable the voice is and the randomness between each generation. Lower values create a broader emotional range; higher values produce more consistent, monotonous output. Only applicable when using ElevenLabs.",
			InnerField: "temperature",
		},
		&requestflag.InnerFlag[bool]{
			Name:       "voice-settings.use-speaker-boost",
			Usage:      "Amplifies similarity to the original speaker voice. Increases computational load and latency slightly. Only applicable when using ElevenLabs.",
			InnerField: "use_speaker_boost",
		},
		&requestflag.InnerFlag[float64]{
			Name:       "voice-settings.voice-speed",
			Usage:      "The speed of the voice in the range [0.25, 2.0]. 1.0 is deafult speed. Larger numbers make the voice faster, smaller numbers make it slower. This is only applicable for Telnyx Natural voices.",
			InnerField: "voice_speed",
		},
	},
	"widget-settings": {
		&requestflag.InnerFlag[string]{
			Name:       "widget-settings.agent-thinking-text",
			Usage:      "Text displayed while the agent is processing.",
			InnerField: "agent_thinking_text",
		},
		&requestflag.InnerFlag[map[string]any]{
			Name:       "widget-settings.audio-visualizer-config",
			InnerField: "audio_visualizer_config",
		},
		&requestflag.InnerFlag[string]{
			Name:       "widget-settings.default-state",
			Usage:      "The default state of the widget.",
			InnerField: "default_state",
		},
		&requestflag.InnerFlag[*string]{
			Name:       "widget-settings.give-feedback-url",
			Usage:      "URL for users to give feedback.",
			InnerField: "give_feedback_url",
		},
		&requestflag.InnerFlag[*string]{
			Name:       "widget-settings.logo-icon-url",
			Usage:      "URL to a custom logo icon for the widget.",
			InnerField: "logo_icon_url",
		},
		&requestflag.InnerFlag[string]{
			Name:       "widget-settings.position",
			Usage:      "The positioning style for the widget.",
			InnerField: "position",
		},
		&requestflag.InnerFlag[*string]{
			Name:       "widget-settings.report-issue-url",
			Usage:      "URL for users to report issues.",
			InnerField: "report_issue_url",
		},
		&requestflag.InnerFlag[string]{
			Name:       "widget-settings.speak-to-interrupt-text",
			Usage:      "Text prompting users to speak to interrupt.",
			InnerField: "speak_to_interrupt_text",
		},
		&requestflag.InnerFlag[string]{
			Name:       "widget-settings.start-call-text",
			Usage:      "Custom text displayed on the start call button.",
			InnerField: "start_call_text",
		},
		&requestflag.InnerFlag[string]{
			Name:       "widget-settings.theme",
			Usage:      "The visual theme for the widget.",
			InnerField: "theme",
		},
		&requestflag.InnerFlag[*string]{
			Name:       "widget-settings.view-history-url",
			Usage:      "URL to view conversation history.",
			InnerField: "view_history_url",
		},
	},
})

var aiAssistantsRetrieve = cli.Command{
	Name:    "retrieve",
	Usage:   "Retrieve an AI Assistant configuration by `assistant_id`.",
	Suggest: true,
	Flags: []cli.Flag{
		&requestflag.Flag[string]{
			Name:      "assistant-id",
			Required:  true,
			PathParam: "assistant_id",
		},
		&requestflag.Flag[string]{
			Name:      "call-control-id",
			Usage:     "Filter results by call control id.",
			QueryPath: "call_control_id",
		},
		&requestflag.Flag[bool]{
			Name:      "fetch-dynamic-variables-from-webhook",
			Usage:     "Whether to fetch dynamic variables from the configured webhook.",
			Default:   false,
			QueryPath: "fetch_dynamic_variables_from_webhook",
		},
		&requestflag.Flag[string]{
			Name:      "from",
			Usage:     "Start of the filter range.",
			QueryPath: "from",
		},
		&requestflag.Flag[string]{
			Name:      "to",
			Usage:     "End of the filter range.",
			QueryPath: "to",
		},
	},
	Action:          handleAIAssistantsRetrieve,
	HideHelpCommand: true,
}

var aiAssistantsUpdate = requestflag.WithInnerFlags(cli.Command{
	Name:    "update",
	Usage:   "Update an AI Assistant's attributes.",
	Suggest: true,
	Flags: []cli.Flag{
		&requestflag.Flag[string]{
			Name:      "assistant-id",
			Required:  true,
			PathParam: "assistant_id",
		},
		&requestflag.Flag[map[string]any]{
			Name:     "conversation-flow",
			Usage:    "Conversation flow as supplied by API clients (create / update).\n\nA directed graph of `FlowNodeReq` connected by `FlowEdge`s. Validation\nenforces unique node/edge IDs, that `start_node_id` references a real\nnode, and that every edge's endpoints reference real nodes.",
			BodyPath: "conversation_flow",
		},
		&requestflag.Flag[string]{
			Name:     "description",
			BodyPath: "description",
		},
		&requestflag.Flag[map[string]any]{
			Name:     "dynamic-variables",
			Usage:    "Map of dynamic variables and their default values",
			BodyPath: "dynamic_variables",
		},
		&requestflag.Flag[int64]{
			Name:     "dynamic-variables-webhook-timeout-ms",
			Usage:    "Timeout in milliseconds for the dynamic variables webhook. Must be between 1 and 10000 ms. If the webhook does not respond within this timeout, the call proceeds with default values. See the [dynamic variables guide](https://developers.telnyx.com/docs/inference/ai-assistants/dynamic-variables).",
			Default:  1500,
			BodyPath: "dynamic_variables_webhook_timeout_ms",
		},
		&requestflag.Flag[string]{
			Name:     "dynamic-variables-webhook-url",
			Usage:    "If `dynamic_variables_webhook_url` is set, Telnyx sends a POST request to this URL at the start of the conversation to resolve dynamic variables. **Gotcha:** the webhook response must wrap variables under a top-level `dynamic_variables` object, e.g. `{\"dynamic_variables\": {\"customer_name\": \"Jane\"}}`. Returning a flat object will be ignored and variables will fall back to their defaults. See the [dynamic variables guide](https://developers.telnyx.com/docs/inference/ai-assistants/dynamic-variables) for the full request/response format and timeout behavior.",
			BodyPath: "dynamic_variables_webhook_url",
		},
		&requestflag.Flag[[]string]{
			Name:     "enabled-feature",
			BodyPath: "enabled_features",
		},
		&requestflag.Flag[map[string]any]{
			Name:     "external-llm",
			BodyPath: "external_llm",
		},
		&requestflag.Flag[map[string]any]{
			Name:     "fallback-config",
			BodyPath: "fallback_config",
		},
		&requestflag.Flag[string]{
			Name:     "greeting",
			Usage:    "Text that the assistant will use to start the conversation. This may be templated with [dynamic variables](https://developers.telnyx.com/docs/inference/ai-assistants/dynamic-variables). Use an empty string to have the assistant wait for the user to speak first. Use the special value `<assistant-speaks-first-with-model-generated-message>` to have the assistant generate the greeting based on the system instructions.",
			BodyPath: "greeting",
		},
		&requestflag.Flag[map[string]any]{
			Name:     "insight-settings",
			BodyPath: "insight_settings",
		},
		&requestflag.Flag[string]{
			Name:     "instructions",
			Usage:    "System instructions for the assistant. These may be templated with [dynamic variables](https://developers.telnyx.com/docs/inference/ai-assistants/dynamic-variables)",
			BodyPath: "instructions",
		},
		&requestflag.Flag[[]map[string]any]{
			Name:     "integration",
			Usage:    "Connected integrations attached to the assistant. The catalog of available integrations is at `/ai/integrations`; the user's connected integrations are at `/ai/integrations/connections`. Each item references a catalog integration by `integration_id`.",
			Default:  []map[string]any{},
			BodyPath: "integrations",
		},
		&requestflag.Flag[map[string]any]{
			Name:     "interruption-settings",
			Usage:    "Settings for interruptions and how the assistant decides the user has finished speaking. These timings are most relevant when using non turn-taking transcription models. For turn-taking models like `deepgram/flux`, end-of-turn behavior is controlled by the transcription end-of-turn settings under `transcription.settings` (`eot_threshold`, `eot_timeout_ms`, `eager_eot_threshold`).",
			BodyPath: "interruption_settings",
		},
		&requestflag.Flag[string]{
			Name:     "llm-api-key-ref",
			Usage:    "This is only needed when using third-party inference providers selected by `model`. The `identifier` for an integration secret [/v2/integration_secrets](https://developers.telnyx.com/api-reference/integration-secrets/create-a-secret) that refers to your LLM provider's API key. For bring-your-own endpoint authentication, use `external_llm.llm_api_key_ref` instead. Warning: Free plans are unlikely to work with this integration.",
			BodyPath: "llm_api_key_ref",
		},
		&requestflag.Flag[[]map[string]any]{
			Name:     "mcp-server",
			Usage:    "MCP servers attached to the assistant. Create MCP servers with `/ai/mcp_servers`, then reference them by `id` here.",
			Default:  []map[string]any{},
			BodyPath: "mcp_servers",
		},
		&requestflag.Flag[map[string]any]{
			Name:     "messaging-settings",
			BodyPath: "messaging_settings",
		},
		&requestflag.Flag[string]{
			Name:     "model",
			Usage:    "ID of the model to use when `external_llm` is not set. You can use the [Get models API](https://developers.telnyx.com/api-reference/openai-chat/get-available-models-openai-compatible) to see available models. If `external_llm` is provided, the assistant uses `external_llm` instead of this field. If neither `model` nor `external_llm` is provided, Telnyx applies the default model.",
			BodyPath: "model",
		},
		&requestflag.Flag[string]{
			Name:     "name",
			BodyPath: "name",
		},
		&requestflag.Flag[map[string]any]{
			Name:     "observability-settings",
			BodyPath: "observability_settings",
		},
		&requestflag.Flag[map[string]any]{
			Name:     "post-conversation-settings",
			Usage:    "Configuration for post-conversation processing. When enabled, the assistant receives one additional LLM turn after the conversation ends, allowing it to execute tool calls such as logging to a CRM or sending a summary. The assistant can execute multiple parallel or sequential tools during this phase. Telephony-control tools (e.g. hangup, transfer) are unavailable post-conversation. Beta feature.",
			BodyPath: "post_conversation_settings",
		},
		&requestflag.Flag[map[string]any]{
			Name:     "privacy-settings",
			BodyPath: "privacy_settings",
		},
		&requestflag.Flag[bool]{
			Name:     "promote-to-main",
			Usage:    "Indicates whether the assistant should be promoted to the main version. Defaults to true.",
			Default:  true,
			BodyPath: "promote_to_main",
		},
		&requestflag.Flag[[]string]{
			Name:     "tag",
			Usage:    "Tags associated with the assistant. Tags can also be managed with the assistant tag endpoints.",
			Default:  []string{},
			BodyPath: "tags",
		},
		&requestflag.Flag[map[string]any]{
			Name:     "telephony-settings",
			BodyPath: "telephony_settings",
		},
		&requestflag.Flag[[]string]{
			Name:     "tool-id",
			Usage:    "IDs of shared tools to attach to the assistant. New integrations should prefer `tool_ids` over inline `tools`.",
			BodyPath: "tool_ids",
		},
		&requestflag.Flag[[]map[string]any]{
			Name:     "tool",
			Usage:    "Deprecated for new integrations. Inline tool definitions available to the assistant. Prefer `tool_ids` to attach shared tools created with the AI Tools endpoints.",
			BodyPath: "tools",
		},
		&requestflag.Flag[map[string]any]{
			Name:     "transcription",
			BodyPath: "transcription",
		},
		&requestflag.Flag[string]{
			Name:     "version-name",
			Usage:    "Human-readable name for the assistant version.",
			Default:  "New assistant",
			BodyPath: "version_name",
		},
		&requestflag.Flag[map[string]any]{
			Name:     "voice-settings",
			BodyPath: "voice_settings",
		},
		&requestflag.Flag[map[string]any]{
			Name:     "widget-settings",
			Usage:    "Configuration settings for the assistant's web widget.",
			BodyPath: "widget_settings",
		},
	},
	Action:          handleAIAssistantsUpdate,
	HideHelpCommand: true,
}, map[string][]requestflag.HasOuterFlag{
	"conversation-flow": {
		&requestflag.InnerFlag[[]map[string]any]{
			Name:       "conversation-flow.nodes",
			Usage:      "All nodes in the flow. Must contain `start_node_id`. Each node is a prompt node (`type: prompt`) or a tool node (`type: tool`).",
			InnerField: "nodes",
		},
		&requestflag.InnerFlag[string]{
			Name:       "conversation-flow.start-node-id",
			Usage:      "ID of the node where the conversation begins.",
			InnerField: "start_node_id",
		},
		&requestflag.InnerFlag[[]map[string]any]{
			Name:       "conversation-flow.edges",
			Usage:      "Directed transitions between nodes. May be empty for a single-node flow.",
			InnerField: "edges",
		},
	},
	"external-llm": {
		&requestflag.InnerFlag[string]{
			Name:       "external-llm.base-url",
			Usage:      "Base URL for the external LLM endpoint.",
			InnerField: "base_url",
		},
		&requestflag.InnerFlag[string]{
			Name:       "external-llm.model",
			Usage:      "Model identifier to use with the external LLM endpoint.",
			InnerField: "model",
		},
		&requestflag.InnerFlag[string]{
			Name:       "external-llm.authentication-method",
			Usage:      "Authentication method used when connecting to the external LLM endpoint.",
			InnerField: "authentication_method",
		},
		&requestflag.InnerFlag[string]{
			Name:       "external-llm.certificate-ref",
			Usage:      "Integration secret identifier for the client certificate used with certificate authentication.",
			InnerField: "certificate_ref",
		},
		&requestflag.InnerFlag[bool]{
			Name:       "external-llm.forward-metadata",
			Usage:      "When `true`, Telnyx forwards the assistant's dynamic variables to the external LLM endpoint as a top-level `extra_metadata` object on the chat completion request body. Defaults to `false`. Example payload sent to the external endpoint: `{\"extra_metadata\": {\"customer_name\": \"Jane\", \"account_id\": \"acct_789\", \"telnyx_agent_target\": \"+13125550100\", \"telnyx_end_user_target\": \"+13125550123\"}}`. Distinct from OpenAI's native `metadata` field, which has its own size and type limits.",
			InnerField: "forward_metadata",
		},
		&requestflag.InnerFlag[string]{
			Name:       "external-llm.llm-api-key-ref",
			Usage:      "Integration secret identifier for the external LLM API key.",
			InnerField: "llm_api_key_ref",
		},
		&requestflag.InnerFlag[string]{
			Name:       "external-llm.token-retrieval-url",
			Usage:      "URL used to retrieve an access token when certificate authentication is enabled.",
			InnerField: "token_retrieval_url",
		},
	},
	"fallback-config": {
		&requestflag.InnerFlag[map[string]any]{
			Name:       "fallback-config.external-llm",
			InnerField: "external_llm",
		},
		&requestflag.InnerFlag[string]{
			Name:       "fallback-config.llm-api-key-ref",
			Usage:      "Integration secret identifier for the fallback model API key.",
			InnerField: "llm_api_key_ref",
		},
		&requestflag.InnerFlag[string]{
			Name:       "fallback-config.model",
			Usage:      "Fallback Telnyx-hosted model to use when the primary LLM provider is unavailable.",
			InnerField: "model",
		},
	},
	"insight-settings": {
		&requestflag.InnerFlag[string]{
			Name:       "insight-settings.insight-group-id",
			Usage:      "Reference to an Insight Group. Insights in this group will be run automatically for all the assistant's conversations.",
			InnerField: "insight_group_id",
		},
	},
	"integration": {
		&requestflag.InnerFlag[string]{
			Name:       "integration.integration-id",
			Usage:      "Catalog integration ID to attach. This is the `id` from the integrations catalog at `/ai/integrations` (the same value also appears as `integration_id` on entries returned by `/ai/integrations/connections`). It is **not** the connection-level `id` from `/ai/integrations/connections`.",
			InnerField: "integration_id",
		},
		&requestflag.InnerFlag[[]string]{
			Name:       "integration.allowed-list",
			Usage:      "Optional per-assistant allowlist of integration tool names. When omitted or empty, all tools allowed by the connected integration are available to the assistant.",
			InnerField: "allowed_list",
		},
	},
	"interruption-settings": {
		&requestflag.InnerFlag[bool]{
			Name:       "interruption-settings.disable-greeting-interruption",
			Usage:      "When true, disables user interruptions while the assistant greeting is playing.",
			InnerField: "disable_greeting_interruption",
		},
		&requestflag.InnerFlag[bool]{
			Name:       "interruption-settings.enable",
			Usage:      "Whether users can interrupt the assistant while it is speaking.",
			InnerField: "enable",
		},
		&requestflag.InnerFlag[map[string]any]{
			Name:       "interruption-settings.start-speaking-plan",
			Usage:      "Controls when the assistant starts speaking after the user stops. These thresholds primarily apply to non turn-taking transcription models. For turn-taking models like `deepgram/flux`, end-of-turn detection is driven by the transcription end-of-turn settings under `transcription.settings` instead.",
			InnerField: "start_speaking_plan",
		},
	},
	"mcp-server": {
		&requestflag.InnerFlag[string]{
			Name:       "mcp-server.id",
			Usage:      "ID of the MCP server to attach. This must be the `id` of an MCP server returned by the `/ai/mcp_servers` endpoints.",
			InnerField: "id",
		},
		&requestflag.InnerFlag[[]string]{
			Name:       "mcp-server.allowed-tools",
			Usage:      "Optional per-assistant allowlist of MCP tool names. When omitted, the assistant uses the MCP server's configured `allowed_tools`.",
			InnerField: "allowed_tools",
		},
	},
	"messaging-settings": {
		&requestflag.InnerFlag[int64]{
			Name:       "messaging-settings.conversation-inactivity-minutes",
			Usage:      "If more than this many minutes have passed since the last message, the assistant will start a new conversation instead of continuing the existing one.",
			InnerField: "conversation_inactivity_minutes",
		},
		&requestflag.InnerFlag[string]{
			Name:       "messaging-settings.default-messaging-profile-id",
			Usage:      "Default Messaging Profile used for messaging exchanges with your assistant. This will be created automatically on assistant creation.",
			InnerField: "default_messaging_profile_id",
		},
		&requestflag.InnerFlag[string]{
			Name:       "messaging-settings.delivery-status-webhook-url",
			Usage:      "The URL where webhooks related to delivery statused for assistant messages will be sent.",
			InnerField: "delivery_status_webhook_url",
		},
	},
	"observability-settings": {
		&requestflag.InnerFlag[string]{
			Name:       "observability-settings.host",
			InnerField: "host",
		},
		&requestflag.InnerFlag[string]{
			Name:       "observability-settings.prompt-label",
			InnerField: "prompt_label",
		},
		&requestflag.InnerFlag[string]{
			Name:       "observability-settings.prompt-name",
			InnerField: "prompt_name",
		},
		&requestflag.InnerFlag[string]{
			Name:       "observability-settings.prompt-sync",
			Usage:      "Whether to auto-publish the assistant's instructions as a Langfuse prompt.\n\nWhen ENABLED + prompt_name set, every assistant create/update pushes\n`instructions` to Langfuse via create_prompt and stores the returned\nversion in prompt_version.",
			InnerField: "prompt_sync",
		},
		&requestflag.InnerFlag[int64]{
			Name:       "observability-settings.prompt-version",
			InnerField: "prompt_version",
		},
		&requestflag.InnerFlag[string]{
			Name:       "observability-settings.public-key-ref",
			InnerField: "public_key_ref",
		},
		&requestflag.InnerFlag[string]{
			Name:       "observability-settings.secret-key-ref",
			InnerField: "secret_key_ref",
		},
		&requestflag.InnerFlag[string]{
			Name:       "observability-settings.status",
			Usage:      `Allowed values: "enabled", "disabled".`,
			InnerField: "status",
		},
	},
	"post-conversation-settings": {
		&requestflag.InnerFlag[bool]{
			Name:       "post-conversation-settings.enabled",
			Usage:      "Whether post-conversation processing is enabled. When true, the assistant will be invoked after the conversation ends to perform any final tool calls. Defaults to false.",
			InnerField: "enabled",
		},
	},
	"privacy-settings": {
		&requestflag.InnerFlag[bool]{
			Name:       "privacy-settings.data-retention",
			Usage:      "If true, conversation history and insights will be stored. If false, they will not be stored. This in‑tool toggle governs solely the retention of conversation history and insights via the AI assistant. It has no effect on any separate recording, transcription, or storage configuration that you have set at the account, number, or application level. All such external settings remain in force regardless of your selection here.",
			InnerField: "data_retention",
		},
	},
	"telephony-settings": {
		&requestflag.InnerFlag[string]{
			Name:       "telephony-settings.default-texml-app-id",
			Usage:      "Default Texml App used for voice calls with your assistant. This will be created automatically on assistant creation.",
			InnerField: "default_texml_app_id",
		},
		&requestflag.InnerFlag[string]{
			Name:       "telephony-settings.noise-suppression",
			Usage:      "The noise suppression engine to use. Use 'disabled' to turn off noise suppression.",
			InnerField: "noise_suppression",
		},
		&requestflag.InnerFlag[map[string]any]{
			Name:       "telephony-settings.noise-suppression-config",
			Usage:      "Configuration for noise suppression. Only applicable when noise_suppression is 'deepfilternet'.",
			InnerField: "noise_suppression_config",
		},
		&requestflag.InnerFlag[map[string]any]{
			Name:       "telephony-settings.recording-settings",
			Usage:      "Configuration for call recording format and channel settings.",
			InnerField: "recording_settings",
		},
		&requestflag.InnerFlag[bool]{
			Name:       "telephony-settings.supports-unauthenticated-web-calls",
			Usage:      "When enabled, allows users to interact with your AI assistant directly from your website without requiring authentication. This is required for FE widgets that work with assistants that have telephony enabled.",
			InnerField: "supports_unauthenticated_web_calls",
		},
		&requestflag.InnerFlag[int64]{
			Name:       "telephony-settings.time-limit-secs",
			Usage:      "Maximum duration in seconds for the AI assistant to participate on the call. When this limit is reached the assistant will be stopped. This limit does not apply to portions of a call without an active assistant (for instance, a call transferred to a human representative).",
			InnerField: "time_limit_secs",
		},
		&requestflag.InnerFlag[int64]{
			Name:       "telephony-settings.user-idle-reply-secs",
			Usage:      "Duration in seconds of end user silence before the assistant checks in on the user. When this limit is reached the assistant will prompt the user to respond. This is distinct from user_idle_timeout_secs which stops the assistant entirely.",
			InnerField: "user_idle_reply_secs",
		},
		&requestflag.InnerFlag[int64]{
			Name:       "telephony-settings.user-idle-timeout-secs",
			Usage:      "Maximum duration in seconds of end user silence on the call. When this limit is reached the assistant will be stopped. This limit does not apply to portions of a call without an active assistant (for instance, a call transferred to a human representative).",
			InnerField: "user_idle_timeout_secs",
		},
		&requestflag.InnerFlag[map[string]any]{
			Name:       "telephony-settings.voicemail-detection",
			Usage:      "Configuration for voicemail detection (AMD - Answering Machine Detection) on outgoing calls. These settings only apply if AMD is enabled on the Dial command. See [TeXML Dial documentation](https://developers.telnyx.com/api-reference/texml-rest-commands/initiate-an-outbound-call) for enabling AMD. Recommended settings: MachineDetection=Enable, AsyncAmd=true, DetectionMode=Premium.",
			InnerField: "voicemail_detection",
		},
	},
	"transcription": {
		&requestflag.InnerFlag[string]{
			Name:       "transcription.api-key-ref",
			Usage:      "Integration secret identifier for the transcription provider API key. Currently used for Azure transcription regions that require a customer-provided API key.",
			InnerField: "api_key_ref",
		},
		&requestflag.InnerFlag[string]{
			Name:       "transcription.language",
			Usage:      "The language of the audio to be transcribed. If not set, or if set to `auto`, supported models will automatically detect the language. For `deepgram/flux`, supported values are: `auto` (Telnyx language detection controls the language hint), `multi` (no language hint), and language-specific hints `en`, `es`, `fr`, `de`, `hi`, `ru`, `pt`, `ja`, `it`, and `nl`. For `soniox/stt-rt-v4`, `auto` omits the language hint and lets Soniox auto-detect; ISO 639-1 codes (e.g. `en`, `es`) bias detection toward that language.",
			InnerField: "language",
		},
		&requestflag.InnerFlag[string]{
			Name:       "transcription.model",
			Usage:      "The speech to text model to be used by the voice assistant. All Deepgram models are run on-premise.\n\n- `deepgram/flux` is optimized for turn-taking with multilingual language hints.\n- `deepgram/nova-3` is multilingual with automatic language detection.\n- `deepgram/nova-2` is Deepgram's previous-generation multilingual model.\n- `azure/fast` is a multilingual Azure transcription model.\n- `assemblyai/universal-streaming` is a multilingual streaming model with configurable turn detection.\n- `xai/grok-stt` is a multilingual Grok STT model.\n- `soniox/stt-rt-v4` is a multilingual streaming model with automatic language detection and configurable endpointing.\n- `parakeet/tdt-0.6b-v3` is a multilingual transcription model with automatic language detection.",
			InnerField: "model",
		},
		&requestflag.InnerFlag[string]{
			Name:       "transcription.region",
			Usage:      "Region on third party cloud providers (currently Azure) if using one of their models. Some regions require `api_key_ref`.",
			InnerField: "region",
		},
		&requestflag.InnerFlag[map[string]any]{
			Name:       "transcription.settings",
			InnerField: "settings",
		},
	},
	"voice-settings": {
		&requestflag.InnerFlag[string]{
			Name:       "voice-settings.voice",
			Usage:      "The voice to be used by the voice assistant. Check the full list of [available voices](https://developers.telnyx.com/docs/tts-stt/tts-available-voices) via our voices API.\nTo use ElevenLabs, you must reference your ElevenLabs API key as an integration secret under the `api_key_ref` field. See [integration secrets documentation](https://developers.telnyx.com/api-reference/integration-secrets/create-a-secret) for details. For Telnyx voices, use `Telnyx.<model_id>.<voice_id>` (e.g. Telnyx.KokoroTTS.af_heart).\nThe voice portion of the identifier supports [dynamic variables](https://developers.telnyx.com/docs/inference/ai-assistants/dynamic-variables) using mustache syntax (e.g. `Telnyx.Ultra.{{voice_id}}`). The variable is resolved at call time from your dynamic variables webhook, allowing you to select the voice dynamically per call.",
			InnerField: "voice",
		},
		&requestflag.InnerFlag[string]{
			Name:       "voice-settings.api-key-ref",
			Usage:      "The `identifier` for an integration secret [/v2/integration_secrets](https://developers.telnyx.com/api-reference/integration-secrets/create-a-secret) that refers to your ElevenLabs API key. Warning: Free plans are unlikely to work with this integration.",
			InnerField: "api_key_ref",
		},
		&requestflag.InnerFlag[map[string]any]{
			Name:       "voice-settings.background-audio",
			Usage:      "Optional background audio to play on the call. Use a predefined media bed, or supply a looped MP3 URL. If a media URL is chosen in the portal, customers can preview it before saving.",
			InnerField: "background_audio",
		},
		&requestflag.InnerFlag[bool]{
			Name:       "voice-settings.expressive-mode",
			Usage:      "Enables emotionally expressive speech using SSML emotion tags. When enabled, the assistant uses audio tags like angry, excited, content, and sad to add emotional nuance. Only supported for Telnyx Ultra voices.",
			InnerField: "expressive_mode",
		},
		&requestflag.InnerFlag[*string]{
			Name:       "voice-settings.language-boost",
			Usage:      "Enhances recognition for specific languages and dialects during MiniMax TTS synthesis. Default is null (no boost). Set to 'auto' for automatic language detection. Only applicable when using MiniMax voices.",
			InnerField: "language_boost",
		},
		&requestflag.InnerFlag[float64]{
			Name:       "voice-settings.similarity-boost",
			Usage:      "Determines how closely the AI should adhere to the original voice when attempting to replicate it. Only applicable when using ElevenLabs.",
			InnerField: "similarity_boost",
		},
		&requestflag.InnerFlag[float64]{
			Name:       "voice-settings.speed",
			Usage:      "Adjusts speech velocity. 1.0 is default speed; values less than 1.0 slow speech; values greater than 1.0 accelerate it. Only applicable when using ElevenLabs.",
			InnerField: "speed",
		},
		&requestflag.InnerFlag[float64]{
			Name:       "voice-settings.style",
			Usage:      "Determines the style exaggeration of the voice. Amplifies speaker style but consumes additional resources when set above 0. Only applicable when using ElevenLabs.",
			InnerField: "style",
		},
		&requestflag.InnerFlag[float64]{
			Name:       "voice-settings.temperature",
			Usage:      "Determines how stable the voice is and the randomness between each generation. Lower values create a broader emotional range; higher values produce more consistent, monotonous output. Only applicable when using ElevenLabs.",
			InnerField: "temperature",
		},
		&requestflag.InnerFlag[bool]{
			Name:       "voice-settings.use-speaker-boost",
			Usage:      "Amplifies similarity to the original speaker voice. Increases computational load and latency slightly. Only applicable when using ElevenLabs.",
			InnerField: "use_speaker_boost",
		},
		&requestflag.InnerFlag[float64]{
			Name:       "voice-settings.voice-speed",
			Usage:      "The speed of the voice in the range [0.25, 2.0]. 1.0 is deafult speed. Larger numbers make the voice faster, smaller numbers make it slower. This is only applicable for Telnyx Natural voices.",
			InnerField: "voice_speed",
		},
	},
	"widget-settings": {
		&requestflag.InnerFlag[string]{
			Name:       "widget-settings.agent-thinking-text",
			Usage:      "Text displayed while the agent is processing.",
			InnerField: "agent_thinking_text",
		},
		&requestflag.InnerFlag[map[string]any]{
			Name:       "widget-settings.audio-visualizer-config",
			InnerField: "audio_visualizer_config",
		},
		&requestflag.InnerFlag[string]{
			Name:       "widget-settings.default-state",
			Usage:      "The default state of the widget.",
			InnerField: "default_state",
		},
		&requestflag.InnerFlag[*string]{
			Name:       "widget-settings.give-feedback-url",
			Usage:      "URL for users to give feedback.",
			InnerField: "give_feedback_url",
		},
		&requestflag.InnerFlag[*string]{
			Name:       "widget-settings.logo-icon-url",
			Usage:      "URL to a custom logo icon for the widget.",
			InnerField: "logo_icon_url",
		},
		&requestflag.InnerFlag[string]{
			Name:       "widget-settings.position",
			Usage:      "The positioning style for the widget.",
			InnerField: "position",
		},
		&requestflag.InnerFlag[*string]{
			Name:       "widget-settings.report-issue-url",
			Usage:      "URL for users to report issues.",
			InnerField: "report_issue_url",
		},
		&requestflag.InnerFlag[string]{
			Name:       "widget-settings.speak-to-interrupt-text",
			Usage:      "Text prompting users to speak to interrupt.",
			InnerField: "speak_to_interrupt_text",
		},
		&requestflag.InnerFlag[string]{
			Name:       "widget-settings.start-call-text",
			Usage:      "Custom text displayed on the start call button.",
			InnerField: "start_call_text",
		},
		&requestflag.InnerFlag[string]{
			Name:       "widget-settings.theme",
			Usage:      "The visual theme for the widget.",
			InnerField: "theme",
		},
		&requestflag.InnerFlag[*string]{
			Name:       "widget-settings.view-history-url",
			Usage:      "URL to view conversation history.",
			InnerField: "view_history_url",
		},
	},
})

var aiAssistantsList = cli.Command{
	Name:            "list",
	Usage:           "Retrieve a list of all AI Assistants configured by the user.",
	Suggest:         true,
	Flags:           []cli.Flag{},
	Action:          handleAIAssistantsList,
	HideHelpCommand: true,
}

var aiAssistantsDelete = cli.Command{
	Name:    "delete",
	Usage:   "Delete an AI Assistant by `assistant_id`.",
	Suggest: true,
	Flags: []cli.Flag{
		&requestflag.Flag[string]{
			Name:      "assistant-id",
			Required:  true,
			PathParam: "assistant_id",
		},
	},
	Action:          handleAIAssistantsDelete,
	HideHelpCommand: true,
}

var aiAssistantsChat = cli.Command{
	Name:    "chat",
	Usage:   "This endpoint allows a client to send a chat message to a specific AI Assistant.\nThe assistant processes the message and returns a relevant reply based on the\ncurrent conversation context. Refer to the Conversation API to\n[create a conversation](https://developers.telnyx.com/api-reference/conversations/create-a-conversation),\n[filter existing conversations](https://developers.telnyx.com/api-reference/conversations/list-conversations),\n[fetch messages for a conversation](https://developers.telnyx.com/api-reference/conversations/get-conversation-messages),\nand\n[manually add messages to a conversation](https://developers.telnyx.com/api-reference/conversations/create-message).",
	Suggest: true,
	Flags: []cli.Flag{
		&requestflag.Flag[string]{
			Name:      "assistant-id",
			Required:  true,
			PathParam: "assistant_id",
		},
		&requestflag.Flag[string]{
			Name:     "content",
			Usage:    "The message content sent by the client to the assistant",
			Required: true,
			BodyPath: "content",
		},
		&requestflag.Flag[string]{
			Name:     "conversation-id",
			Usage:    "A unique identifier for the conversation thread, used to maintain context",
			Required: true,
			BodyPath: "conversation_id",
		},
		&requestflag.Flag[string]{
			Name:     "name",
			Usage:    "The optional display name of the user sending the message",
			BodyPath: "name",
		},
	},
	Action:          handleAIAssistantsChat,
	HideHelpCommand: true,
}

var aiAssistantsClone = cli.Command{
	Name:    "clone",
	Usage:   "Clone an existing assistant, excluding telephony and messaging settings.",
	Suggest: true,
	Flags: []cli.Flag{
		&requestflag.Flag[string]{
			Name:      "assistant-id",
			Required:  true,
			PathParam: "assistant_id",
		},
	},
	Action:          handleAIAssistantsClone,
	HideHelpCommand: true,
}

var aiAssistantsGetTexml = cli.Command{
	Name:    "get-texml",
	Usage:   "Get an assistant texml by `assistant_id`.",
	Suggest: true,
	Flags: []cli.Flag{
		&requestflag.Flag[string]{
			Name:      "assistant-id",
			Required:  true,
			PathParam: "assistant_id",
		},
	},
	Action:          handleAIAssistantsGetTexml,
	HideHelpCommand: true,
}

var aiAssistantsImports = cli.Command{
	Name:    "imports",
	Usage:   "Import assistants from external providers. Any assistant that has already been\nimported will be overwritten with its latest version from the importing\nprovider.",
	Suggest: true,
	Flags: []cli.Flag{
		&requestflag.Flag[string]{
			Name:     "api-key-ref",
			Usage:    "Integration secret pointer that refers to the API key for the external provider. This should be an identifier for an integration secret created via /v2/integration_secrets.",
			Required: true,
			BodyPath: "api_key_ref",
		},
		&requestflag.Flag[string]{
			Name:     "provider",
			Usage:    "The external provider to import assistants from.",
			Required: true,
			BodyPath: "provider",
		},
		&requestflag.Flag[[]string]{
			Name:     "import-id",
			Usage:    "Optional list of assistant IDs to import from the external provider. If not provided, all assistants will be imported.",
			BodyPath: "import_ids",
		},
	},
	Action:          handleAIAssistantsImports,
	HideHelpCommand: true,
}

var aiAssistantsSendSMS = cli.Command{
	Name:    "send-sms",
	Usage:   "Send an SMS message for an assistant. This endpoint:",
	Suggest: true,
	Flags: []cli.Flag{
		&requestflag.Flag[string]{
			Name:      "assistant-id",
			Required:  true,
			PathParam: "assistant_id",
		},
		&requestflag.Flag[string]{
			Name:     "from",
			Required: true,
			BodyPath: "from",
		},
		&requestflag.Flag[string]{
			Name:     "to",
			Required: true,
			BodyPath: "to",
		},
		&requestflag.Flag[map[string]any]{
			Name:     "conversation-metadata",
			BodyPath: "conversation_metadata",
		},
		&requestflag.Flag[bool]{
			Name:     "should-create-conversation",
			BodyPath: "should_create_conversation",
		},
		&requestflag.Flag[string]{
			Name:     "text",
			BodyPath: "text",
		},
	},
	Action:          handleAIAssistantsSendSMS,
	HideHelpCommand: true,
}

func handleAIAssistantsCreate(ctx context.Context, cmd *cli.Command) error {
	client := telnyx.NewClient(getDefaultRequestOptions(cmd)...)
	unusedArgs := cmd.Args().Slice()

	if len(unusedArgs) > 0 {
		return fmt.Errorf("Unexpected extra arguments: %v", unusedArgs)
	}

	options, err := flagOptions(
		cmd,
		apiquery.NestedQueryFormatBrackets,
		apiquery.ArrayQueryFormatComma,
		ApplicationJSON,
		false,
	)
	if err != nil {
		return err
	}

	params := telnyx.AIAssistantNewParams{}

	var res []byte
	options = append(options, option.WithResponseBodyInto(&res))
	_, err = client.AI.Assistants.New(ctx, params, options...)
	if err != nil {
		return err
	}

	obj := gjson.ParseBytes(res)
	format := cmd.Root().String("format")
	explicitFormat := cmd.Root().IsSet("format")
	transform := cmd.Root().String("transform")
	return ShowJSON(obj, ShowJSONOpts{
		ExplicitFormat: explicitFormat,
		Format:         format,
		RawOutput:      cmd.Root().Bool("raw-output"),
		Title:          "ai:assistants create",
		Transform:      transform,
	})
}

func handleAIAssistantsRetrieve(ctx context.Context, cmd *cli.Command) error {
	client := telnyx.NewClient(getDefaultRequestOptions(cmd)...)
	unusedArgs := cmd.Args().Slice()
	if !cmd.IsSet("assistant-id") && len(unusedArgs) > 0 {
		cmd.Set("assistant-id", unusedArgs[0])
		unusedArgs = unusedArgs[1:]
	}
	if len(unusedArgs) > 0 {
		return fmt.Errorf("Unexpected extra arguments: %v", unusedArgs)
	}

	options, err := flagOptions(
		cmd,
		apiquery.NestedQueryFormatBrackets,
		apiquery.ArrayQueryFormatComma,
		EmptyBody,
		false,
	)
	if err != nil {
		return err
	}

	params := telnyx.AIAssistantGetParams{}

	var res []byte
	options = append(options, option.WithResponseBodyInto(&res))
	_, err = client.AI.Assistants.Get(
		ctx,
		cmd.Value("assistant-id").(string),
		params,
		options...,
	)
	if err != nil {
		return err
	}

	obj := gjson.ParseBytes(res)
	format := cmd.Root().String("format")
	explicitFormat := cmd.Root().IsSet("format")
	transform := cmd.Root().String("transform")
	return ShowJSON(obj, ShowJSONOpts{
		ExplicitFormat: explicitFormat,
		Format:         format,
		RawOutput:      cmd.Root().Bool("raw-output"),
		Title:          "ai:assistants retrieve",
		Transform:      transform,
	})
}

func handleAIAssistantsUpdate(ctx context.Context, cmd *cli.Command) error {
	client := telnyx.NewClient(getDefaultRequestOptions(cmd)...)
	unusedArgs := cmd.Args().Slice()
	if !cmd.IsSet("assistant-id") && len(unusedArgs) > 0 {
		cmd.Set("assistant-id", unusedArgs[0])
		unusedArgs = unusedArgs[1:]
	}
	if len(unusedArgs) > 0 {
		return fmt.Errorf("Unexpected extra arguments: %v", unusedArgs)
	}

	options, err := flagOptions(
		cmd,
		apiquery.NestedQueryFormatBrackets,
		apiquery.ArrayQueryFormatComma,
		ApplicationJSON,
		false,
	)
	if err != nil {
		return err
	}

	params := telnyx.AIAssistantUpdateParams{}

	var res []byte
	options = append(options, option.WithResponseBodyInto(&res))
	_, err = client.AI.Assistants.Update(
		ctx,
		cmd.Value("assistant-id").(string),
		params,
		options...,
	)
	if err != nil {
		return err
	}

	obj := gjson.ParseBytes(res)
	format := cmd.Root().String("format")
	explicitFormat := cmd.Root().IsSet("format")
	transform := cmd.Root().String("transform")
	return ShowJSON(obj, ShowJSONOpts{
		ExplicitFormat: explicitFormat,
		Format:         format,
		RawOutput:      cmd.Root().Bool("raw-output"),
		Title:          "ai:assistants update",
		Transform:      transform,
	})
}

func handleAIAssistantsList(ctx context.Context, cmd *cli.Command) error {
	client := telnyx.NewClient(getDefaultRequestOptions(cmd)...)
	unusedArgs := cmd.Args().Slice()

	if len(unusedArgs) > 0 {
		return fmt.Errorf("Unexpected extra arguments: %v", unusedArgs)
	}

	options, err := flagOptions(
		cmd,
		apiquery.NestedQueryFormatBrackets,
		apiquery.ArrayQueryFormatComma,
		EmptyBody,
		false,
	)
	if err != nil {
		return err
	}

	var res []byte
	options = append(options, option.WithResponseBodyInto(&res))
	_, err = client.AI.Assistants.List(ctx, options...)
	if err != nil {
		return err
	}

	obj := gjson.ParseBytes(res)
	format := cmd.Root().String("format")
	explicitFormat := cmd.Root().IsSet("format")
	transform := cmd.Root().String("transform")
	return ShowJSON(obj, ShowJSONOpts{
		ExplicitFormat: explicitFormat,
		Format:         format,
		RawOutput:      cmd.Root().Bool("raw-output"),
		Title:          "ai:assistants list",
		Transform:      transform,
	})
}

func handleAIAssistantsDelete(ctx context.Context, cmd *cli.Command) error {
	client := telnyx.NewClient(getDefaultRequestOptions(cmd)...)
	unusedArgs := cmd.Args().Slice()
	if !cmd.IsSet("assistant-id") && len(unusedArgs) > 0 {
		cmd.Set("assistant-id", unusedArgs[0])
		unusedArgs = unusedArgs[1:]
	}
	if len(unusedArgs) > 0 {
		return fmt.Errorf("Unexpected extra arguments: %v", unusedArgs)
	}

	options, err := flagOptions(
		cmd,
		apiquery.NestedQueryFormatBrackets,
		apiquery.ArrayQueryFormatComma,
		EmptyBody,
		false,
	)
	if err != nil {
		return err
	}

	var res []byte
	options = append(options, option.WithResponseBodyInto(&res))
	_, err = client.AI.Assistants.Delete(ctx, cmd.Value("assistant-id").(string), options...)
	if err != nil {
		return err
	}

	obj := gjson.ParseBytes(res)
	format := cmd.Root().String("format")
	explicitFormat := cmd.Root().IsSet("format")
	transform := cmd.Root().String("transform")
	return ShowJSON(obj, ShowJSONOpts{
		ExplicitFormat: explicitFormat,
		Format:         format,
		RawOutput:      cmd.Root().Bool("raw-output"),
		Title:          "ai:assistants delete",
		Transform:      transform,
	})
}

func handleAIAssistantsChat(ctx context.Context, cmd *cli.Command) error {
	client := telnyx.NewClient(getDefaultRequestOptions(cmd)...)
	unusedArgs := cmd.Args().Slice()
	if !cmd.IsSet("assistant-id") && len(unusedArgs) > 0 {
		cmd.Set("assistant-id", unusedArgs[0])
		unusedArgs = unusedArgs[1:]
	}
	if len(unusedArgs) > 0 {
		return fmt.Errorf("Unexpected extra arguments: %v", unusedArgs)
	}

	options, err := flagOptions(
		cmd,
		apiquery.NestedQueryFormatBrackets,
		apiquery.ArrayQueryFormatComma,
		ApplicationJSON,
		false,
	)
	if err != nil {
		return err
	}

	params := telnyx.AIAssistantChatParams{}

	var res []byte
	options = append(options, option.WithResponseBodyInto(&res))
	_, err = client.AI.Assistants.Chat(
		ctx,
		cmd.Value("assistant-id").(string),
		params,
		options...,
	)
	if err != nil {
		return err
	}

	obj := gjson.ParseBytes(res)
	format := cmd.Root().String("format")
	explicitFormat := cmd.Root().IsSet("format")
	transform := cmd.Root().String("transform")
	return ShowJSON(obj, ShowJSONOpts{
		ExplicitFormat: explicitFormat,
		Format:         format,
		RawOutput:      cmd.Root().Bool("raw-output"),
		Title:          "ai:assistants chat",
		Transform:      transform,
	})
}

func handleAIAssistantsClone(ctx context.Context, cmd *cli.Command) error {
	client := telnyx.NewClient(getDefaultRequestOptions(cmd)...)
	unusedArgs := cmd.Args().Slice()
	if !cmd.IsSet("assistant-id") && len(unusedArgs) > 0 {
		cmd.Set("assistant-id", unusedArgs[0])
		unusedArgs = unusedArgs[1:]
	}
	if len(unusedArgs) > 0 {
		return fmt.Errorf("Unexpected extra arguments: %v", unusedArgs)
	}

	options, err := flagOptions(
		cmd,
		apiquery.NestedQueryFormatBrackets,
		apiquery.ArrayQueryFormatComma,
		EmptyBody,
		false,
	)
	if err != nil {
		return err
	}

	var res []byte
	options = append(options, option.WithResponseBodyInto(&res))
	_, err = client.AI.Assistants.Clone(ctx, cmd.Value("assistant-id").(string), options...)
	if err != nil {
		return err
	}

	obj := gjson.ParseBytes(res)
	format := cmd.Root().String("format")
	explicitFormat := cmd.Root().IsSet("format")
	transform := cmd.Root().String("transform")
	return ShowJSON(obj, ShowJSONOpts{
		ExplicitFormat: explicitFormat,
		Format:         format,
		RawOutput:      cmd.Root().Bool("raw-output"),
		Title:          "ai:assistants clone",
		Transform:      transform,
	})
}

func handleAIAssistantsGetTexml(ctx context.Context, cmd *cli.Command) error {
	client := telnyx.NewClient(getDefaultRequestOptions(cmd)...)
	unusedArgs := cmd.Args().Slice()
	if !cmd.IsSet("assistant-id") && len(unusedArgs) > 0 {
		cmd.Set("assistant-id", unusedArgs[0])
		unusedArgs = unusedArgs[1:]
	}
	if len(unusedArgs) > 0 {
		return fmt.Errorf("Unexpected extra arguments: %v", unusedArgs)
	}

	options, err := flagOptions(
		cmd,
		apiquery.NestedQueryFormatBrackets,
		apiquery.ArrayQueryFormatComma,
		EmptyBody,
		false,
	)
	if err != nil {
		return err
	}

	var res []byte
	options = append(options, option.WithResponseBodyInto(&res))
	_, err = client.AI.Assistants.GetTexml(ctx, cmd.Value("assistant-id").(string), options...)
	if err != nil {
		return err
	}

	obj := gjson.ParseBytes(res)
	format := cmd.Root().String("format")
	explicitFormat := cmd.Root().IsSet("format")
	transform := cmd.Root().String("transform")
	return ShowJSON(obj, ShowJSONOpts{
		ExplicitFormat: explicitFormat,
		Format:         format,
		RawOutput:      cmd.Root().Bool("raw-output"),
		Title:          "ai:assistants get-texml",
		Transform:      transform,
	})
}

func handleAIAssistantsImports(ctx context.Context, cmd *cli.Command) error {
	client := telnyx.NewClient(getDefaultRequestOptions(cmd)...)
	unusedArgs := cmd.Args().Slice()

	if len(unusedArgs) > 0 {
		return fmt.Errorf("Unexpected extra arguments: %v", unusedArgs)
	}

	options, err := flagOptions(
		cmd,
		apiquery.NestedQueryFormatBrackets,
		apiquery.ArrayQueryFormatComma,
		ApplicationJSON,
		false,
	)
	if err != nil {
		return err
	}

	params := telnyx.AIAssistantImportsParams{}

	var res []byte
	options = append(options, option.WithResponseBodyInto(&res))
	_, err = client.AI.Assistants.Imports(ctx, params, options...)
	if err != nil {
		return err
	}

	obj := gjson.ParseBytes(res)
	format := cmd.Root().String("format")
	explicitFormat := cmd.Root().IsSet("format")
	transform := cmd.Root().String("transform")
	return ShowJSON(obj, ShowJSONOpts{
		ExplicitFormat: explicitFormat,
		Format:         format,
		RawOutput:      cmd.Root().Bool("raw-output"),
		Title:          "ai:assistants imports",
		Transform:      transform,
	})
}

func handleAIAssistantsSendSMS(ctx context.Context, cmd *cli.Command) error {
	client := telnyx.NewClient(getDefaultRequestOptions(cmd)...)
	unusedArgs := cmd.Args().Slice()
	if !cmd.IsSet("assistant-id") && len(unusedArgs) > 0 {
		cmd.Set("assistant-id", unusedArgs[0])
		unusedArgs = unusedArgs[1:]
	}
	if len(unusedArgs) > 0 {
		return fmt.Errorf("Unexpected extra arguments: %v", unusedArgs)
	}

	options, err := flagOptions(
		cmd,
		apiquery.NestedQueryFormatBrackets,
		apiquery.ArrayQueryFormatComma,
		ApplicationJSON,
		false,
	)
	if err != nil {
		return err
	}

	params := telnyx.AIAssistantSendSMSParams{}

	var res []byte
	options = append(options, option.WithResponseBodyInto(&res))
	_, err = client.AI.Assistants.SendSMS(
		ctx,
		cmd.Value("assistant-id").(string),
		params,
		options...,
	)
	if err != nil {
		return err
	}

	obj := gjson.ParseBytes(res)
	format := cmd.Root().String("format")
	explicitFormat := cmd.Root().IsSet("format")
	transform := cmd.Root().String("transform")
	return ShowJSON(obj, ShowJSONOpts{
		ExplicitFormat: explicitFormat,
		Format:         format,
		RawOutput:      cmd.Root().Bool("raw-output"),
		Title:          "ai:assistants send-sms",
		Transform:      transform,
	})
}