From telnyx-ruby
Creates Ruby code using Telnyx SDK for AI voice assistants with custom instructions, OpenAI models, tools, and knowledge bases. Entry point is client.ai.assistants.create().
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<!-- Auto-generated from Telnyx OpenAPI specs. Do not edit. -->
Creates Ruby code using Telnyx SDK for AI voice assistants with custom instructions, OpenAI models, tools, and knowledge bases. Entry point is client.ai.assistants.create().
Automates Telnyx operations via Composio toolkit and Rube MCP. Discovers tools dynamically with RUBE_SEARCH_TOOLS, manages connections, and executes workflows reliably.
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gem install telnyx
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.
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).
+13125550001). Include the + prefix and country code. No spaces, dashes, or parentheses..auto_paging_each for automatic iteration: page.auto_paging_each { |item| puts item.id }.Do not invent Telnyx parameters, enums, response fields, or webhook fields.
## Additional Operations, read the optional-parameters section and the response-schemas section.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.idassistant.nameassistant.modelassistant.instructionsassistant.created_atassistant.descriptionChat 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.contentTest 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_idassistant_test.nameassistant_test.destinationassistant_test.created_atassistant_test.instructionsassistant_test.descriptionUse these when the core tasks above are close to your flow, but you need a common variation or follow-up step.
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.idassistant.nameassistant.created_atassistant.descriptionassistant.dynamic_variablesassistant.dynamic_variables_webhook_urlCreate 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.idassistant.nameassistant.created_atassistant.descriptionassistant.dynamic_variablesassistant.dynamic_variables_webhook_urlInspect 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:
assistants_list.dataPrimary item fields:
idnamecreated_atdescriptiondynamic_variablesdynamic_variables_webhook_urlImport 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:
assistants_list.dataPrimary item fields:
idnamecreated_atdescriptiondynamic_variablesdynamic_variables_webhook_urlInspect 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.tagsInspect 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:
page.datapage.metaPrimary item fields:
namecreated_atdescriptiondestinationinstructionsmax_duration_secondsInspect 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:
test_suites.dataPrimary item fields:
dataFetch 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:
page.datapage.metaPrimary item fields:
statuscreated_atupdated_atcompleted_atconversation_idconversation_insights_idUse 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.