All examples below assume client is already initialized as shown above.

Error Handling

All API calls can fail with network errors, rate limits (429), validation errors (422), or authentication errors (401). Always handle errors in production code:

assistant = client.ai.assistants.create(instructions: "You are a helpful assistant.", model: "openai/gpt-4o", name: "my-resource")
puts(assistant)

Common error codes: 401 invalid API key, 403 insufficient permissions, 404 resource not found, 422 validation error (check field formats), 429 rate limited (retry with exponential backoff).

Important Notes

Phone numbers must be in E.164 format (e.g., +13125550001). Include the + prefix and country code. No spaces, dashes, or parentheses.
Pagination: Use .auto_paging_each for automatic iteration: page.auto_paging_each { |item| puts item.id }.

Reference Use Rules

Do not invent Telnyx parameters, enums, response fields, or webhook fields.

If the parameter, enum, or response field you need is not shown inline in this skill, read references/api-details.md before writing code.
Before using any operation in ## Additional Operations, read the optional-parameters section and the response-schemas section.

Core Tasks

Create an assistant

Assistant creation is the entrypoint for any AI assistant integration. Agents need the exact creation method and the top-level fields returned by the SDK.

client.ai.assistants.create() — POST /ai/assistants

Parameter	Type	Required	Description
`name`	string	Yes
`model`	string	Yes	ID of the model to use.
`instructions`	string	Yes	System instructions for the assistant.
`tools`	array[object]	No	The tools that the assistant can use.
`tool_ids`	array[string]	No
`description`	string	No
...			+12 optional params in references/api-details.md

assistant = client.ai.assistants.create(instructions: "You are a helpful assistant.", model: "openai/gpt-4o", name: "my-resource")

puts(assistant)

Primary response fields:

assistant.id
assistant.name
assistant.model
assistant.instructions
assistant.created_at
assistant.description

Chat with an assistant

Chat is the primary runtime path. Agents need the exact assistant method and the response content field.

client.ai.assistants.chat() — POST /ai/assistants/{assistant_id}/chat

Parameter	Type	Required	Description
`content`	string	Yes	The message content sent by the client to the assistant
`conversation_id`	string (UUID)	Yes	A unique identifier for the conversation thread, used to mai...
`assistant_id`	string (UUID)	Yes
`name`	string	No	The optional display name of the user sending the message

response = client.ai.assistants.chat(
  "assistant_id",
  content: "Tell me a joke about cats",
  conversation_id: "42b20469-1215-4a9a-8964-c36f66b406f4"
)

puts(response)

Primary response fields:

response.content

Create an assistant test

Test creation is the main validation path for production assistant behavior before deployment.

client.ai.assistants.tests.create() — POST /ai/assistants/tests

Parameter	Type	Required	Description
`name`	string	Yes	A descriptive name for the assistant test.
`destination`	string	Yes	The target destination for the test conversation.
`instructions`	string	Yes	Detailed instructions that define the test scenario and what...
`rubric`	array[object]	Yes	Evaluation criteria used to assess the assistant's performan...
`description`	string	No	Optional detailed description of what this test evaluates an...
`telnyx_conversation_channel`	object	No	The communication channel through which the test will be con...
`max_duration_seconds`	integer	No	Maximum duration in seconds that the test conversation shoul...
...			+1 optional params in references/api-details.md

assistant_test = client.ai.assistants.tests.create(
  destination: "+15551234567",
  instructions: "Act as a frustrated customer who received a damaged product. Ask for a refund and escalate if not satisfied with the initial response.",
  name: "Customer Support Bot Test",
  rubric: [
    {criteria: "Assistant responds within 30 seconds", name: "Response Time"},
    {criteria: "Provides correct product information", name: "Accuracy"}
  ]
)

puts(assistant_test)

Primary response fields:

assistant_test.test_id
assistant_test.name
assistant_test.destination
assistant_test.created_at
assistant_test.instructions
assistant_test.description

Important Supporting Operations

Use these when the core tasks above are close to your flow, but you need a common variation or follow-up step.

Get an assistant

Fetch the current state before updating, deleting, or making control-flow decisions.

client.ai.assistants.retrieve() — GET /ai/assistants/{assistant_id}

Parameter	Type	Required	Description
`assistant_id`	string (UUID)	Yes
`call_control_id`	string (UUID)	No
`fetch_dynamic_variables_from_webhook`	boolean	No
`from`	string (E.164)	No
...			+1 optional params in references/api-details.md

assistant = client.ai.assistants.retrieve("550e8400-e29b-41d4-a716-446655440000")

puts(assistant)

Primary response fields:

assistant.id
assistant.name
assistant.created_at
assistant.description
assistant.dynamic_variables
assistant.dynamic_variables_webhook_url

Update an assistant

Create or provision an additional resource when the core tasks do not cover this flow.

client.ai.assistants.update() — POST /ai/assistants/{assistant_id}

Parameter	Type	Required	Description
`assistant_id`	string (UUID)	Yes
`name`	string	No
`model`	string	No	ID of the model to use.
`instructions`	string	No	System instructions for the assistant.
...			+16 optional params in references/api-details.md

assistant = client.ai.assistants.update("550e8400-e29b-41d4-a716-446655440000")

puts(assistant)

Primary response fields:

assistant.id
assistant.name
assistant.created_at
assistant.description
assistant.dynamic_variables
assistant.dynamic_variables_webhook_url

List assistants

Inspect available resources or choose an existing resource before mutating it.

client.ai.assistants.list() — GET /ai/assistants

assistants_list = client.ai.assistants.list

puts(assistants_list)

Response wrapper:

items: assistants_list.data

Primary item fields:

id
name
created_at
description
dynamic_variables
dynamic_variables_webhook_url

Import assistants from external provider

Import existing assistants from an external provider instead of creating from scratch.

client.ai.assistants.imports() — POST /ai/assistants/import

Parameter	Type	Required	Description
`provider`	enum (elevenlabs, vapi, retell)	Yes	The external provider to import assistants from.
`api_key_ref`	string	Yes	Integration secret pointer that refers to the API key for th...
`import_ids`	array[string]	No	Optional list of assistant IDs to import from the external p...

assistants_list = client.ai.assistants.imports(api_key_ref: "my-openai-key", provider: :elevenlabs)

puts(assistants_list)

Response wrapper:

items: assistants_list.data

Primary item fields:

id
name
created_at
description
dynamic_variables
dynamic_variables_webhook_url

Get All Tags

Inspect available resources or choose an existing resource before mutating it.

client.ai.assistants.tags.list() — GET /ai/assistants/tags

tags = client.ai.assistants.tags.list

puts(tags)

Primary response fields:

tags.tags

List assistant tests with pagination

Inspect available resources or choose an existing resource before mutating it.

client.ai.assistants.tests.list() — GET /ai/assistants/tests

Parameter	Type	Required	Description
`test_suite`	string	No	Filter tests by test suite name
`telnyx_conversation_channel`	string	No	Filter tests by communication channel (e.g., 'web_chat', 'sm...
`destination`	string	No	Filter tests by destination (phone number, webhook URL, etc....
...			+1 optional params in references/api-details.md

page = client.ai.assistants.tests.list

puts(page)

Response wrapper:

items: page.data
pagination: page.meta

Primary item fields:

name
created_at
description
destination
instructions
max_duration_seconds

Get all test suite names

Inspect available resources or choose an existing resource before mutating it.

client.ai.assistants.tests.test_suites.list() — GET /ai/assistants/tests/test-suites

test_suites = client.ai.assistants.tests.test_suites.list

puts(test_suites)

Response wrapper:

items: test_suites.data

Primary item fields:

data

Get test suite run history

Fetch the current state before updating, deleting, or making control-flow decisions.

client.ai.assistants.tests.test_suites.runs.list() — GET /ai/assistants/tests/test-suites/{suite_name}/runs

Parameter	Type	Required	Description
`suite_name`	string	Yes
`test_suite_run_id`	string (UUID)	No	Filter runs by specific suite execution batch ID
`status`	string	No	Filter runs by execution status (pending, running, completed...
`page`	object	No	Consolidated page parameter (deepObject style).

page = client.ai.assistants.tests.test_suites.runs.list("suite_name")

puts(page)

Response wrapper:

items: page.data
pagination: page.meta

Primary item fields:

status
created_at
updated_at
completed_at
conversation_id
conversation_insights_id

Additional Operations

Use the core tasks above first. The operations below are indexed here with exact SDK methods and required params; use references/api-details.md for full optional params, response schemas, and lower-frequency webhook payloads. Before using any operation below, read the optional-parameters section and the response-schemas section so you do not guess missing fields.

Operation	SDK method	Endpoint	Use when	Required params
Trigger test suite execution	`client.ai.assistants.tests.test_suites.runs.trigger()`	`POST /ai/assistants/tests/test-suites/{suite_name}/runs`	Trigger a follow-up action in an existing workflow rather than creating a new top-level resource.	`suite_name`
Get assistant test by ID	`client.ai.assistants.tests.retrieve()`	`GET /ai/assistants/tests/{test_id}`	Fetch the current state before updating, deleting, or making control-flow decisions.	`test_id`
Update an assistant test	`client.ai.assistants.tests.update()`	`PUT /ai/assistants/tests/{test_id}`	Modify an existing resource without recreating it.	`test_id`
Delete an assistant test	`client.ai.assistants.tests.delete()`	`DELETE /ai/assistants/tests/{test_id}`	Remove, detach, or clean up an existing resource.	`test_id`
Get test run history for a specific test	`client.ai.assistants.tests.runs.list()`	`GET /ai/assistants/tests/{test_id}/runs`	Fetch the current state before updating, deleting, or making control-flow decisions.	`test_id`
Trigger a manual test run	`client.ai.assistants.tests.runs.trigger()`	`POST /ai/assistants/tests/{test_id}/runs`	Trigger a follow-up action in an existing workflow rather than creating a new top-level resource.	`test_id`
Get specific test run details	`client.ai.assistants.tests.runs.retrieve()`	`GET /ai/assistants/tests/{test_id}/runs/{run_id}`	Fetch the current state before updating, deleting, or making control-flow decisions.	`test_id`, `run_id`
Delete an assistant	`client.ai.assistants.delete()`	`DELETE /ai/assistants/{assistant_id}`	Remove, detach, or clean up an existing resource.	`assistant_id`
Get Canary Deploy	`client.ai.assistants.canary_deploys.retrieve()`	`GET /ai/assistants/{assistant_id}/canary-deploys`	Fetch the current state before updating, deleting, or making control-flow decisions.	`assistant_id`
Create Canary Deploy	`client.ai.assistants.canary_deploys.create()`	`POST /ai/assistants/{assistant_id}/canary-deploys`	Create or provision an additional resource when the core tasks do not cover this flow.	`versions`, `assistant_id`
Update Canary Deploy	`client.ai.assistants.canary_deploys.update()`	`PUT /ai/assistants/{assistant_id}/canary-deploys`	Modify an existing resource without recreating it.	`versions`, `assistant_id`
Delete Canary Deploy	`client.ai.assistants.canary_deploys.delete()`	`DELETE /ai/assistants/{assistant_id}/canary-deploys`	Remove, detach, or clean up an existing resource.	`assistant_id`
Assistant Sms Chat	`client.ai.assistants.send_sms()`	`POST /ai/assistants/{assistant_id}/chat/sms`	Run assistant chat over SMS instead of direct API chat.	`from`, `to`, `assistant_id`
Clone Assistant	`client.ai.assistants.clone_()`	`POST /ai/assistants/{assistant_id}/clone`	Trigger a follow-up action in an existing workflow rather than creating a new top-level resource.	`assistant_id`
List scheduled events	`client.ai.assistants.scheduled_events.list()`	`GET /ai/assistants/{assistant_id}/scheduled_events`	Fetch the current state before updating, deleting, or making control-flow decisions.	`assistant_id`
Create a scheduled event	`client.ai.assistants.scheduled_events.create()`	`POST /ai/assistants/{assistant_id}/scheduled_events`	Create or provision an additional resource when the core tasks do not cover this flow.	`telnyx_conversation_channel`, `telnyx_end_user_target`, `telnyx_agent_target`, `scheduled_at_fixed_datetime`, +1 more
Get a scheduled event	`client.ai.assistants.scheduled_events.retrieve()`	`GET /ai/assistants/{assistant_id}/scheduled_events/{event_id}`	Fetch the current state before updating, deleting, or making control-flow decisions.	`assistant_id`, `event_id`
Delete a scheduled event	`client.ai.assistants.scheduled_events.delete()`	`DELETE /ai/assistants/{assistant_id}/scheduled_events/{event_id}`	Remove, detach, or clean up an existing resource.	`assistant_id`, `event_id`
Add Assistant Tag	`client.ai.assistants.tags.add()`	`POST /ai/assistants/{assistant_id}/tags`	Create or provision an additional resource when the core tasks do not cover this flow.	`tag`, `assistant_id`
Remove Assistant Tag	`client.ai.assistants.tags.remove()`	`DELETE /ai/assistants/{assistant_id}/tags/{tag}`	Remove, detach, or clean up an existing resource.	`assistant_id`, `tag`
Get assistant texml	`client.ai.assistants.get_texml()`	`GET /ai/assistants/{assistant_id}/texml`	Fetch the current state before updating, deleting, or making control-flow decisions.	`assistant_id`
Add Assistant Tool	`client.ai.assistants.tools.add()`	`PUT /ai/assistants/{assistant_id}/tools/{tool_id}`	Modify an existing resource without recreating it.	`assistant_id`, `tool_id`
Remove Assistant Tool	`client.ai.assistants.tools.remove()`	`DELETE /ai/assistants/{assistant_id}/tools/{tool_id}`	Remove, detach, or clean up an existing resource.	`assistant_id`, `tool_id`
Test Assistant Tool	`client.ai.assistants.tools.test_()`	`POST /ai/assistants/{assistant_id}/tools/{tool_id}/test`	Trigger a follow-up action in an existing workflow rather than creating a new top-level resource.	`assistant_id`, `tool_id`
Get all versions of an assistant	`client.ai.assistants.versions.list()`	`GET /ai/assistants/{assistant_id}/versions`	Fetch the current state before updating, deleting, or making control-flow decisions.	`assistant_id`
Get a specific assistant version	`client.ai.assistants.versions.retrieve()`	`GET /ai/assistants/{assistant_id}/versions/{version_id}`	Fetch the current state before updating, deleting, or making control-flow decisions.	`assistant_id`, `version_id`
Update a specific assistant version	`client.ai.assistants.versions.update()`	`POST /ai/assistants/{assistant_id}/versions/{version_id}`	Create or provision an additional resource when the core tasks do not cover this flow.	`assistant_id`, `version_id`
Delete a specific assistant version	`client.ai.assistants.versions.delete()`	`DELETE /ai/assistants/{assistant_id}/versions/{version_id}`	Remove, detach, or clean up an existing resource.	`assistant_id`, `version_id`
Promote an assistant version to main	`client.ai.assistants.versions.promote()`	`POST /ai/assistants/{assistant_id}/versions/{version_id}/promote`	Trigger a follow-up action in an existing workflow rather than creating a new top-level resource.	`assistant_id`, `version_id`
List MCP Servers	`client.ai.mcp_servers.list()`	`GET /ai/mcp_servers`	Inspect available resources or choose an existing resource before mutating it.	None
Create MCP Server	`client.ai.mcp_servers.create()`	`POST /ai/mcp_servers`	Create or provision an additional resource when the core tasks do not cover this flow.	`name`, `type`, `url`
Get MCP Server	`client.ai.mcp_servers.retrieve()`	`GET /ai/mcp_servers/{mcp_server_id}`	Fetch the current state before updating, deleting, or making control-flow decisions.	`mcp_server_id`
Update MCP Server	`client.ai.mcp_servers.update()`	`PUT /ai/mcp_servers/{mcp_server_id}`	Modify an existing resource without recreating it.	`mcp_server_id`
Delete MCP Server	`client.ai.mcp_servers.delete()`	`DELETE /ai/mcp_servers/{mcp_server_id}`	Remove, detach, or clean up an existing resource.	`mcp_server_id`
List Tools	`client.ai.tools.list()`	`GET /ai/tools`	Inspect available resources or choose an existing resource before mutating it.	None
Create Tool	`client.ai.tools.create()`	`POST /ai/tools`	Create or provision an additional resource when the core tasks do not cover this flow.	`type`, `display_name`
Get Tool	`client.ai.tools.retrieve()`	`GET /ai/tools/{tool_id}`	Fetch the current state before updating, deleting, or making control-flow decisions.	`tool_id`
Update Tool	`client.ai.tools.update()`	`PATCH /ai/tools/{tool_id}`	Modify an existing resource without recreating it.	`tool_id`
Delete Tool	`client.ai.tools.delete()`	`DELETE /ai/tools/{tool_id}`	Remove, detach, or clean up an existing resource.	`tool_id`

For exhaustive optional parameters, full response schemas, and complete webhook payloads, see references/api-details.md.

telnyx-ai-assistants-ruby

Telnyx AI Assistants - Ruby

Installation

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