telnyx-ai-assistants-ruby

Telnyx AI Assistants - Ruby

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Install skill "telnyx-ai-assistants-ruby" with this command: npx skills add team-telnyx/telnyx-ext-agent-skills/team-telnyx-telnyx-ext-agent-skills-telnyx-ai-assistants-ruby

Telnyx AI Assistants - Ruby

Installation

gem install telnyx

Setup

require "telnyx"

client = Telnyx::Client.new( api_key: ENV["TELNYX_API_KEY"], # This is the default and can be omitted )

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: "meta-llama/Meta-Llama-3.1-8B-Instruct", 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.

description

string No

greeting

string No Text that the assistant will use to start the conversation.

...

+11 optional params in references/api-details.md

assistant = client.ai.assistants.create(instructions: "You are a helpful assistant.", model: "meta-llama/Meta-Llama-3.1-8B-Instruct", 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.

...

+15 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

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

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

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