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Telnyx Ai Inference - 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:
begin
result = client.messages.send_(to: "+13125550001", from: "+13125550002", text: "Hello")
rescue Telnyx::Errors::APIConnectionError
puts "Network error — check connectivity and retry"
rescue Telnyx::Errors::RateLimitError
# 429: rate limited — wait and retry with exponential backoff
sleep(1) # Check Retry-After header for actual delay
rescue Telnyx::Errors::APIStatusError => e
puts "API error #{e.status}: #{e.message}"
if e.status == 422
puts "Validation error — check required fields and formats"
end
end
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
- Pagination: Use
.auto_paging_eachfor automatic iteration:page.auto_paging_each { |item| puts item.id }.
Transcribe speech to text
Transcribe speech to text. This endpoint is consistent with the OpenAI Transcription API and may be used with the OpenAI JS or Python SDK.
POST /ai/audio/transcriptions
response = client.ai.audio.transcribe(model: :"distil-whisper/distil-large-v2")
puts(response)
Returns: duration (number), segments (array[object]), text (string), words (array[object])
Create a chat completion
Deprecated: Use POST /v2/ai/openai/chat/completions instead. Chat with a language model. This endpoint is consistent with the OpenAI Chat Completions API and may be used with the OpenAI JS or Python SDK.
POST /ai/chat/completions — Required: messages
Optional: api_key_ref (string), best_of (integer), early_stopping (boolean), enable_thinking (boolean), frequency_penalty (number), guided_choice (array[string]), guided_json (object), guided_regex (string), length_penalty (number), logprobs (boolean), max_tokens (integer), min_p (number), model (string), n (number), presence_penalty (number), response_format (object), seed (integer), stop (object), stream (boolean), temperature (number), tool_choice (enum: none, auto, required), tools (array[object]), top_logprobs (integer), top_p (number), use_beam_search (boolean)
response = client.ai.chat.create_completion(
messages: [{content: "You are a friendly chatbot.", role: :system}, {content: "Hello, world!", role: :user}]
)
puts(response)
List conversations
Retrieve a list of all AI conversations configured by the user. Supports PostgREST-style query parameters for filtering. Examples are included for the standard metadata fields, but you can filter on any field in the metadata JSON object.
GET /ai/conversations
conversations = client.ai.conversations.list
puts(conversations)
Returns: created_at (date-time), id (uuid), last_message_at (date-time), metadata (object), name (string)
Create a conversation
Create a new AI Conversation.
POST /ai/conversations
Optional: metadata (object), name (string)
conversation = client.ai.conversations.create
puts(conversation)
Returns: created_at (date-time), id (uuid), last_message_at (date-time), metadata (object), name (string)
Aggregate Conversation Insights
Aggregate conversation insights by specified fields
GET /ai/conversations/conversation-insights/aggregates
response = client.ai.conversations.conversation_insights.aggregate
puts(response)
Returns: record_count (integer)
Get Insight Template Groups
Get all insight groups
GET /ai/conversations/insight-groups
page = client.ai.conversations.insight_groups.retrieve_insight_groups
puts(page)
Returns: created_at (date-time), description (string), id (uuid), insights (array[object]), name (string), webhook (string)
Create Insight Template Group
Create a new insight group
POST /ai/conversations/insight-groups — Required: name
Optional: description (string), webhook (string)
insight_template_group_detail = client.ai.conversations.insight_groups.insight_groups(name: "my-resource")
puts(insight_template_group_detail)
Returns: created_at (date-time), description (string), id (uuid), insights (array[object]), name (string), webhook (string)
Get Insight Template Group
Get insight group by ID
GET /ai/conversations/insight-groups/{group_id}
insight_template_group_detail = client.ai.conversations.insight_groups.retrieve("182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e")
puts(insight_template_group_detail)
Returns: created_at (date-time), description (string), id (uuid), insights (array[object]), name (string), webhook (string)
Update Insight Template Group
Update an insight template group
PUT /ai/conversations/insight-groups/{group_id}
Optional: description (string), name (string), webhook (string)
insight_template_group_detail = client.ai.conversations.insight_groups.update("182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e")
puts(insight_template_group_detail)
Returns: created_at (date-time), description (string), id (uuid), insights (array[object]), name (string), webhook (string)
Delete Insight Template Group
Delete insight group by ID
DELETE /ai/conversations/insight-groups/{group_id}
result = client.ai.conversations.insight_groups.delete("182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e")
puts(result)
Assign Insight Template To Group
Assign an insight to a group
POST /ai/conversations/insight-groups/{group_id}/insights/{insight_id}/assign
result = client.ai.conversations.insight_groups.insights.assign(
"182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e",
group_id: "182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e"
)
puts(result)
Unassign Insight Template From Group
Remove an insight from a group
DELETE /ai/conversations/insight-groups/{group_id}/insights/{insight_id}/unassign
result = client.ai.conversations.insight_groups.insights.delete_unassign(
"182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e",
group_id: "182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e"
)
puts(result)
Get Insight Templates
Get all insights
GET /ai/conversations/insights
page = client.ai.conversations.insights.list
puts(page)
Returns: created_at (date-time), id (uuid), insight_type (enum: custom, default), instructions (string), json_schema (object), name (string), webhook (string)
Create Insight Template
Create a new insight
POST /ai/conversations/insights — Required: instructions, name
Optional: json_schema (object), webhook (string)
insight_template_detail = client.ai.conversations.insights.create(instructions: "You are a helpful assistant.", name: "my-resource")
puts(insight_template_detail)
Returns: created_at (date-time), id (uuid), insight_type (enum: custom, default), instructions (string), json_schema (object), name (string), webhook (string)
Get Insight Template
Get insight by ID
GET /ai/conversations/insights/{insight_id}
insight_template_detail = client.ai.conversations.insights.retrieve("182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e")
puts(insight_template_detail)
Returns: created_at (date-time), id (uuid), insight_type (enum: custom, default), instructions (string), json_schema (object), name (string), webhook (string)
Update Insight Template
Update an insight template
PUT /ai/conversations/insights/{insight_id}
Optional: instructions (string), json_schema (object), name (string), webhook (string)
insight_template_detail = client.ai.conversations.insights.update("182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e")
puts(insight_template_detail)
Returns: created_at (date-time), id (uuid), insight_type (enum: custom, default), instructions (string), json_schema (object), name (string), webhook (string)
Delete Insight Template
Delete insight by ID
DELETE /ai/conversations/insights/{insight_id}
result = client.ai.conversations.insights.delete("182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e")
puts(result)
Get a conversation
Retrieve a specific AI conversation by its ID.
GET /ai/conversations/{conversation_id}
conversation = client.ai.conversations.retrieve("550e8400-e29b-41d4-a716-446655440000")
puts(conversation)
Returns: created_at (date-time), id (uuid), last_message_at (date-time), metadata (object), name (string)
Update conversation metadata
Update metadata for a specific conversation.
PUT /ai/conversations/{conversation_id}
Optional: metadata (object)
conversation = client.ai.conversations.update("550e8400-e29b-41d4-a716-446655440000")
puts(conversation)
Returns: created_at (date-time), id (uuid), last_message_at (date-time), metadata (object), name (string)
Delete a conversation
Delete a specific conversation by its ID.
DELETE /ai/conversations/{conversation_id}
result = client.ai.conversations.delete("550e8400-e29b-41d4-a716-446655440000")
puts(result)
Get insights for a conversation
Retrieve insights for a specific conversation
GET /ai/conversations/{conversation_id}/conversations-insights
response = client.ai.conversations.retrieve_conversations_insights("550e8400-e29b-41d4-a716-446655440000")
puts(response)
Returns: conversation_insights (array[object]), created_at (date-time), id (string), status (enum: pending, in_progress, completed, failed)
Create Message
Add a new message to the conversation. Used to insert a new messages to a conversation manually ( without using chat endpoint )
POST /ai/conversations/{conversation_id}/message — Required: role
Optional: content (string), metadata (object), name (string), sent_at (date-time), tool_call_id (string), tool_calls (array[object]), tool_choice (object)
result = client.ai.conversations.add_message("182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e", role: "user")
puts(result)
Get conversation messages
Retrieve messages for a specific conversation, including tool calls made by the assistant.
GET /ai/conversations/{conversation_id}/messages
page = client.ai.conversations.messages.list("550e8400-e29b-41d4-a716-446655440000")
puts(page)
Returns: created_at (date-time), role (enum: user, assistant, tool), sent_at (date-time), text (string), tool_calls (array[object])
Get Tasks by Status
Retrieve tasks for the user that are either queued, processing, failed, success or partial_success based on the query string. Defaults to queued and processing.
GET /ai/embeddings
embeddings = client.ai.embeddings.list
puts(embeddings)
Returns: bucket (string), created_at (date-time), finished_at (date-time), status (enum: queued, processing, success, failure, partial_success), task_id (string), task_name (string),
File metadata
name: telnyx-ai-inference-ruby description: >- Access Telnyx LLM inference APIs, embeddings, and AI analytics for call insights and summaries. This skill provides Ruby SDK examples. metadata: author: telnyx product: ai-inference language: ruby generated_by: telnyx-openapi-pipeline
View original text
---
name: telnyx-ai-inference-ruby
description: >-
Access Telnyx LLM inference APIs, embeddings, and AI analytics for call
insights and summaries. This skill provides Ruby SDK examples.
metadata:
author: telnyx
product: ai-inference
language: ruby
generated_by: telnyx-openapi-pipeline
---
<!-- Auto-generated from Telnyx OpenAPI specs. Do not edit. -->
# Telnyx Ai Inference - Ruby
## Installation
```bash
gem install telnyx
```
## Setup
```ruby
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:
```ruby
begin
result = client.messages.send_(to: "+13125550001", from: "+13125550002", text: "Hello")
rescue Telnyx::Errors::APIConnectionError
puts "Network error — check connectivity and retry"
rescue Telnyx::Errors::RateLimitError
# 429: rate limited — wait and retry with exponential backoff
sleep(1) # Check Retry-After header for actual delay
rescue Telnyx::Errors::APIStatusError => e
puts "API error #{e.status}: #{e.message}"
if e.status == 422
puts "Validation error — check required fields and formats"
end
end
```
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
- **Pagination:** Use `.auto_paging_each` for automatic iteration: `page.auto_paging_each { |item| puts item.id }`.
## Transcribe speech to text
Transcribe speech to text. This endpoint is consistent with the [OpenAI Transcription API](https://platform.openai.com/docs/api-reference/audio/createTranscription) and may be used with the OpenAI JS or Python SDK.
`POST /ai/audio/transcriptions`
```ruby
response = client.ai.audio.transcribe(model: :"distil-whisper/distil-large-v2")
puts(response)
```
Returns: `duration` (number), `segments` (array[object]), `text` (string), `words` (array[object])
## Create a chat completion
**Deprecated**: Use `POST /v2/ai/openai/chat/completions` instead. Chat with a language model. This endpoint is consistent with the [OpenAI Chat Completions API](https://platform.openai.com/docs/api-reference/chat) and may be used with the OpenAI JS or Python SDK.
`POST /ai/chat/completions` — Required: `messages`
Optional: `api_key_ref` (string), `best_of` (integer), `early_stopping` (boolean), `enable_thinking` (boolean), `frequency_penalty` (number), `guided_choice` (array[string]), `guided_json` (object), `guided_regex` (string), `length_penalty` (number), `logprobs` (boolean), `max_tokens` (integer), `min_p` (number), `model` (string), `n` (number), `presence_penalty` (number), `response_format` (object), `seed` (integer), `stop` (object), `stream` (boolean), `temperature` (number), `tool_choice` (enum: none, auto, required), `tools` (array[object]), `top_logprobs` (integer), `top_p` (number), `use_beam_search` (boolean)
```ruby
response = client.ai.chat.create_completion(
messages: [{content: "You are a friendly chatbot.", role: :system}, {content: "Hello, world!", role: :user}]
)
puts(response)
```
## List conversations
Retrieve a list of all AI conversations configured by the user. Supports [PostgREST-style query parameters](https://postgrest.org/en/stable/api.html#horizontal-filtering-rows) for filtering. Examples are included for the standard metadata fields, but you can filter on any field in the metadata JSON object.
`GET /ai/conversations`
```ruby
conversations = client.ai.conversations.list
puts(conversations)
```
Returns: `created_at` (date-time), `id` (uuid), `last_message_at` (date-time), `metadata` (object), `name` (string)
## Create a conversation
Create a new AI Conversation.
`POST /ai/conversations`
Optional: `metadata` (object), `name` (string)
```ruby
conversation = client.ai.conversations.create
puts(conversation)
```
Returns: `created_at` (date-time), `id` (uuid), `last_message_at` (date-time), `metadata` (object), `name` (string)
## Aggregate Conversation Insights
Aggregate conversation insights by specified fields
`GET /ai/conversations/conversation-insights/aggregates`
```ruby
response = client.ai.conversations.conversation_insights.aggregate
puts(response)
```
Returns: `record_count` (integer)
## Get Insight Template Groups
Get all insight groups
`GET /ai/conversations/insight-groups`
```ruby
page = client.ai.conversations.insight_groups.retrieve_insight_groups
puts(page)
```
Returns: `created_at` (date-time), `description` (string), `id` (uuid), `insights` (array[object]), `name` (string), `webhook` (string)
## Create Insight Template Group
Create a new insight group
`POST /ai/conversations/insight-groups` — Required: `name`
Optional: `description` (string), `webhook` (string)
```ruby
insight_template_group_detail = client.ai.conversations.insight_groups.insight_groups(name: "my-resource")
puts(insight_template_group_detail)
```
Returns: `created_at` (date-time), `description` (string), `id` (uuid), `insights` (array[object]), `name` (string), `webhook` (string)
## Get Insight Template Group
Get insight group by ID
`GET /ai/conversations/insight-groups/{group_id}`
```ruby
insight_template_group_detail = client.ai.conversations.insight_groups.retrieve("182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e")
puts(insight_template_group_detail)
```
Returns: `created_at` (date-time), `description` (string), `id` (uuid), `insights` (array[object]), `name` (string), `webhook` (string)
## Update Insight Template Group
Update an insight template group
`PUT /ai/conversations/insight-groups/{group_id}`
Optional: `description` (string), `name` (string), `webhook` (string)
```ruby
insight_template_group_detail = client.ai.conversations.insight_groups.update("182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e")
puts(insight_template_group_detail)
```
Returns: `created_at` (date-time), `description` (string), `id` (uuid), `insights` (array[object]), `name` (string), `webhook` (string)
## Delete Insight Template Group
Delete insight group by ID
`DELETE /ai/conversations/insight-groups/{group_id}`
```ruby
result = client.ai.conversations.insight_groups.delete("182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e")
puts(result)
```
## Assign Insight Template To Group
Assign an insight to a group
`POST /ai/conversations/insight-groups/{group_id}/insights/{insight_id}/assign`
```ruby
result = client.ai.conversations.insight_groups.insights.assign(
"182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e",
group_id: "182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e"
)
puts(result)
```
## Unassign Insight Template From Group
Remove an insight from a group
`DELETE /ai/conversations/insight-groups/{group_id}/insights/{insight_id}/unassign`
```ruby
result = client.ai.conversations.insight_groups.insights.delete_unassign(
"182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e",
group_id: "182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e"
)
puts(result)
```
## Get Insight Templates
Get all insights
`GET /ai/conversations/insights`
```ruby
page = client.ai.conversations.insights.list
puts(page)
```
Returns: `created_at` (date-time), `id` (uuid), `insight_type` (enum: custom, default), `instructions` (string), `json_schema` (object), `name` (string), `webhook` (string)
## Create Insight Template
Create a new insight
`POST /ai/conversations/insights` — Required: `instructions`, `name`
Optional: `json_schema` (object), `webhook` (string)
```ruby
insight_template_detail = client.ai.conversations.insights.create(instructions: "You are a helpful assistant.", name: "my-resource")
puts(insight_template_detail)
```
Returns: `created_at` (date-time), `id` (uuid), `insight_type` (enum: custom, default), `instructions` (string), `json_schema` (object), `name` (string), `webhook` (string)
## Get Insight Template
Get insight by ID
`GET /ai/conversations/insights/{insight_id}`
```ruby
insight_template_detail = client.ai.conversations.insights.retrieve("182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e")
puts(insight_template_detail)
```
Returns: `created_at` (date-time), `id` (uuid), `insight_type` (enum: custom, default), `instructions` (string), `json_schema` (object), `name` (string), `webhook` (string)
## Update Insight Template
Update an insight template
`PUT /ai/conversations/insights/{insight_id}`
Optional: `instructions` (string), `json_schema` (object), `name` (string), `webhook` (string)
```ruby
insight_template_detail = client.ai.conversations.insights.update("182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e")
puts(insight_template_detail)
```
Returns: `created_at` (date-time), `id` (uuid), `insight_type` (enum: custom, default), `instructions` (string), `json_schema` (object), `name` (string), `webhook` (string)
## Delete Insight Template
Delete insight by ID
`DELETE /ai/conversations/insights/{insight_id}`
```ruby
result = client.ai.conversations.insights.delete("182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e")
puts(result)
```
## Get a conversation
Retrieve a specific AI conversation by its ID.
`GET /ai/conversations/{conversation_id}`
```ruby
conversation = client.ai.conversations.retrieve("550e8400-e29b-41d4-a716-446655440000")
puts(conversation)
```
Returns: `created_at` (date-time), `id` (uuid), `last_message_at` (date-time), `metadata` (object), `name` (string)
## Update conversation metadata
Update metadata for a specific conversation.
`PUT /ai/conversations/{conversation_id}`
Optional: `metadata` (object)
```ruby
conversation = client.ai.conversations.update("550e8400-e29b-41d4-a716-446655440000")
puts(conversation)
```
Returns: `created_at` (date-time), `id` (uuid), `last_message_at` (date-time), `metadata` (object), `name` (string)
## Delete a conversation
Delete a specific conversation by its ID.
`DELETE /ai/conversations/{conversation_id}`
```ruby
result = client.ai.conversations.delete("550e8400-e29b-41d4-a716-446655440000")
puts(result)
```
## Get insights for a conversation
Retrieve insights for a specific conversation
`GET /ai/conversations/{conversation_id}/conversations-insights`
```ruby
response = client.ai.conversations.retrieve_conversations_insights("550e8400-e29b-41d4-a716-446655440000")
puts(response)
```
Returns: `conversation_insights` (array[object]), `created_at` (date-time), `id` (string), `status` (enum: pending, in_progress, completed, failed)
## Create Message
Add a new message to the conversation. Used to insert a new messages to a conversation manually ( without using chat endpoint )
`POST /ai/conversations/{conversation_id}/message` — Required: `role`
Optional: `content` (string), `metadata` (object), `name` (string), `sent_at` (date-time), `tool_call_id` (string), `tool_calls` (array[object]), `tool_choice` (object)
```ruby
result = client.ai.conversations.add_message("182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e", role: "user")
puts(result)
```
## Get conversation messages
Retrieve messages for a specific conversation, including tool calls made by the assistant.
`GET /ai/conversations/{conversation_id}/messages`
```ruby
page = client.ai.conversations.messages.list("550e8400-e29b-41d4-a716-446655440000")
puts(page)
```
Returns: `created_at` (date-time), `role` (enum: user, assistant, tool), `sent_at` (date-time), `text` (string), `tool_calls` (array[object])
## Get Tasks by Status
Retrieve tasks for the user that are either `queued`, `processing`, `failed`, `success` or `partial_success` based on the query string. Defaults to `queued` and `processing`.
`GET /ai/embeddings`
```ruby
embeddings = client.ai.embeddings.list
puts(embeddings)
```
Returns: `bucket` (string), `created_at` (date-time), `finished_at` (date-time), `status` (enum: queued, processing, success, failure, partial_success), `task_id` (string), `task_name` (string),Review the source
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- Source repository
- team-telnyx/ai
- License
- MIT
- Version
- 1.0.0
- Last GitHub push
- Sep 5, 2026
- Registry updated
- Sep 6, 2026
Version reported in registry metadata; check source releases before relying on it.
Quality
67/100
Promising
Trust
55/100
Do not auto-install
Audit
72/100
Needs review
- Dependency or permission surface needs review
- Permission surface may require sandboxing
- SKILL.md is auto-generated and may lack explicit safety guidance beyond standard error handling.
- The excerpt is truncated; ensure the full document covers all endpoints and parameters consistently.
- Quality score needs review
- Permission surface needs review: secrets or environment access, shell or command execution
- Stars/forks activity: 212 stars, 22 forks; issue activity unavailable in current metadata
- Dependency/runtime risk: command execution surface, credential or environment access
- Permission surface: secrets or environment access, shell or command execution
- Verified installs
- —
- Outcomes
- —
Copies are not installs. Installation counts require a reported successful installation; they are not a blanket quality guarantee.
Agent access
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
More details
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}For the creator
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- Creator
- team-telnyx
- Source
- team-telnyx/ai
- Indexed by
- OpenAgentSkill community index
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