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Access Telnyx LLM inference APIs for call insights and summaries with REST API examples using curl.
---
name: telnyx-ai-inference-curl-4c1f35aa1186
description: >-
Access Telnyx LLM inference APIs, embeddings, and AI analytics for call
insights and summaries. This skill provides REST API (curl) examples.
metadata:
author: telnyx
product: ai-inference
language: curl
generated_by: telnyx-openapi-pipeline
---
<!-- Auto-generated from Telnyx OpenAPI specs. Do not edit. -->
# Telnyx Ai Inference - curl
## Installation
```text
# curl is pre-installed on macOS, Linux, and Windows 10+
```
## Setup
```bash
export TELNYX_API_KEY="YOUR_API_KEY_HERE"
```
All examples below use `$TELNYX_API_KEY` for authentication.
## Error Handling
All API calls can fail with network errors, rate limits (429), validation errors (422),
or authentication errors (401). Always handle errors in production code:
```bash
# Check HTTP status code in response
response=$(curl -s -w "\n%{http_code}" \
-X POST "https://api.telnyx.com/v2/messages" \
-H "Authorization: Bearer $TELNYX_API_KEY" \
-H "Content-Type: application/json" \
-d '{"to": "+13125550001", "from": "+13125550002", "text": "Hello"}')
http_code=$(echo "$response" | tail -1)
body=$(echo "$response" | sed '$d')
case $http_code in
2*) echo "Success: $body" ;;
422) echo "Validation error — check required fields and formats" ;;
429) echo "Rate limited — retry after delay"; sleep 1 ;;
401) echo "Authentication failed — check TELNYX_API_KEY" ;;
*) echo "Error $http_code: $body" ;;
esac
```
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:** List endpoints return paginated results. Use `page[number]` and `page[size]` query parameters to navigate pages. Check `meta.total_pages` in the response.
## 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`
```bash
curl \
-X POST \
-H "Authorization: Bearer $TELNYX_API_KEY" \
-F "file=@/path/to/file" \
-F "file_url=https://example.com/file.mp3" \
-F "model=distil-whisper/distil-large-v2" \
-F "response_format=json" \
-F "timestamp_granularities[]=segment" \
-F "language=en-US" \
-F "model_config={'smart_format': True, 'punctuate': True}" \
"https://api.telnyx.com/v2/ai/audio/transcriptions"
```
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), `length_penalty` (number), `logprobs` (boolean), `max_tokens` (integer | null), `min_p` (number), `mode` (enum: preferred, strict), `model` (string), `n` (number), `presence_penalty` (number), `reasoning_effort` (enum: none, minimal, low, medium, high, xhigh, max), `region` (enum: USA, EU, AUS, UAE), `response_format` (object), `seed` (integer), `service_tier` (string), `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)
```bash
curl \
-X POST \
-H "Authorization: Bearer $TELNYX_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"messages": [
{
"role": "system",
"content": "You are a friendly chatbot."
},
{
"role": "user",
"content": "Hello, world!"
}
]
}' \
"https://api.telnyx.com/v2/ai/chat/completions"
```
## 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`
```bash
curl -H "Authorization: Bearer $TELNYX_API_KEY" "https://api.telnyx.com/v2/ai/conversations"
```
Returns: `created_at` (date-time), `id` (uuid), `last_message_at` (date-time), `metadata` (object), `name` (string)
## Create a conversation
Creates a new AI conversation, the container for messages exchanged with an assistant, and returns the created conversation.
`POST /ai/conversations`
Optional: `metadata` (object), `name` (string)
```bash
curl \
-X POST \
-H "Authorization: Bearer $TELNYX_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"name": "my-resource"
}' \
"https://api.telnyx.com/v2/ai/conversations"
```
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`
```bash
curl -H "Authorization: Bearer $TELNYX_API_KEY" "https://api.telnyx.com/v2/ai/conversations/conversation-insights/aggregates"
```
Returns: `record_count` (integer)
## Get Insight Template Groups
Returns a paginated list of your insight template groups. Groups organize related insight templates that are applied together when analyzing conversations.
`GET /ai/conversations/insight-groups`
```bash
curl -H "Authorization: Bearer $TELNYX_API_KEY" "https://api.telnyx.com/v2/ai/conversations/insight-groups"
```
Returns: `created_at` (date-time), `description` (string), `id` (uuid), `insights` (array[object]), `name` (string), `webhook` (string)
## Create Insight Template Group
Creates a new insight template group for organizing related insight templates, and returns the created group.
`POST /ai/conversations/insight-groups` — Required: `name`
Optional: `description` (string), `webhook` (string)
```bash
curl \
-X POST \
-H "Authorization: Bearer $TELNYX_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"name": "Name",
"description": "Description",
"webhook": ""
}' \
"https://api.telnyx.com/v2/ai/conversations/insight-groups"
```
Returns: `created_at` (date-time), `description` (string), `id` (uuid), `insights` (array[object]), `name` (string), `webhook` (string)
## Get Insight Template Group
Returns the details of a single insight template group, including the insight templates assigned to it.
`GET /ai/conversations/insight-groups/{group_id}`
```bash
curl -H "Authorization: Bearer $TELNYX_API_KEY" "https://api.telnyx.com/v2/ai/conversations/insight-groups/{group_id}"
```
Returns: `created_at` (date-time), `description` (string), `id` (uuid), `insights` (array[object]), `name` (string), `webhook` (string)
## Update Insight Template Group
Updates the specified insight template group and returns the updated group.
`PUT /ai/conversations/insight-groups/{group_id}`
Optional: `description` (string), `name` (string), `webhook` (string)
```bash
curl \
-X PUT \
-H "Authorization: Bearer $TELNYX_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"name": "Name",
"description": "Description",
"webhook": "Webhook"
}' \
"https://api.telnyx.com/v2/ai/conversations/insight-groups/{group_id}"
```
Returns: `created_at` (date-time), `description` (string), `id` (uuid), `insights` (array[object]), `name` (string), `webhook` (string)
## Delete Insight Template Group
Permanently deletes the specified insight template group by its ID.
`DELETE /ai/conversations/insight-groups/{group_id}`
```bash
curl \
-X DELETE \
-H "Authorization: Bearer $TELNYX_API_KEY" \
"https://api.telnyx.com/v2/ai/conversations/insight-groups/{group_id}"
```
## Assign Insight Template To Group
Assigns the specified insight template to the specified insight template group.
`POST /ai/conversations/insight-groups/{group_id}/insights/{insight_id}/assign`
```bash
curl \
-X POST \
-H "Authorization: Bearer $TELNYX_API_KEY" \
-H "Content-Type: application/json" \
"https://api.telnyx.com/v2/ai/conversations/insight-groups/{group_id}/insights/{insight_id}/assign"
```
## Unassign Insight Template From Group
Removes the specified insight template from the specified group. The insight template itself is not deleted.
`DELETE /ai/conversations/insight-groups/{group_id}/insights/{insight_id}/unassign`
```bash
curl \
-X DELETE \
-H "Authorization: Bearer $TELNYX_API_KEY" \
"https://api.telnyx.com/v2/ai/conversations/insight-groups/{group_id}/insights/{insight_id}/unassign"
```
## Get Insight Templates
Returns a paginated list of your insight templates. Insight templates define analyses that run over AI conversations to extract structured findings.
`GET /ai/conversations/insights`
```bash
curl -H "Authorization: Bearer $TELNYX_API_KEY" "https://api.telnyx.com/v2/ai/conversations/insights"
```
Returns: `created_at` (date-time), `id` (uuid), `insight_type` (enum: custom, default), `instructions` (string), `json_schema` (object), `name` (string), `webhook` (string)
## Create Insight Template
Creates a new insight template defining an analysis to run over conversations, and returns the created template.
`POST /ai/conversations/insights` — Required: `instructions`, `name`
Optional: `json_schema` (object), `webhook` (string)
```bash
curl \
-X POST \
-H "Authorization: Bearer $TELNYX_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"instructions": "Instructions",
"name": "Name",
"webhook": "",
"json_schema": "string"
}' \
"https://api.telnyx.com/v2/ai/conversations/insights"
```
Returns: `created_at` (date-time), `id` (uuid), `insight_type` (enum: custom, default), `instructions` (string), `json_schema` (object), `name` (string), `webhook` (string)
## Get Insight Template
Returns the details of a single insight template by its ID, including its configuration.
`GET /ai/conversations/insights/{insight_id}`
```bash
curl -H "Authorization: Bearer $TELNYX_API_KEY" "https://api.telnyx.com/v2/ai/conversations/insights/{insight_id}"
```
Returns: `created_at` (date-time), `id` (uuid), `insight_type` (enum: custom, default), `instructions` (string), `json_schema` (object), `name` (string), `webhook` (string)
## Update Insight Template
Updates the specified insight template and returns the updated template.
`PUT /ai/conversations/insights/{insight_id}`
Optional: `instructions` (string), `json_schema` (object), `name` (string), `webhook` (string)
```bash
curl \
-X PUT \
-H "Authorization: Bearer $TELNYX_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"instructions": "Instructions",
"name": "Name",
"webhook": "Webhook",
"json_schema": "string"
}' \
"https://api.telnyx.com/v2/ai/conversations/insights/{insight_id}"
```
Returns: `created_at` (date-time), `id` (uuid), `insight_type` (enum: custom, default), `instructions` (string), `json_schema` (object), `name` (string), `webhook` (string)
## Delete Insight Template
Permanently deletes the specified insight template by its ID.
`DELETE /ai/conversations/insights/{insight_id}`
```bash
curl \
-X DELETE \
-H "Authorization: Bearer $TELNYX_API_KEY" \
"https://api.telnyx.com/v2/ai/conversations/insights/{insight_id}"
```
## Get a conversation
Retrieve a specific AI conversation by its ID.
`GET /ai/conversations/{conversation_id}`
```bash
curl -H "Authorization: Bearer $TELNYX_API_KEY" "https://api.telnyx.com/v2/ai/conversations/550e8400-e29b-41d4-a716-446655440000"
```
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)
```bash
curl \
-X PUT \
-H "Authorization: Bearer $TELNYX_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"metadata": {
"ai_disabled": "true"
}
}' \
"https://api.telnyx.com/v2/ai/conversations/550e8400-e29b-41d4-a716-446655440000"
```
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}`
```bash
curl \
-X DELETE \
-H "Authorization: Bearer $TELNYX_API_KEY" \
"https://api.telnyx.com/v2/ai/conversations/550e8400-e29b-41d4-a716-446655440000"
```
## Get insights for a conversation
Retrieve insights for a specific conversation
`GET /ai/conversations/{conversation_id}/conversations-insights`
```bash
curl -H "Authorization: Bearer $TELNYX_API_KEY" "https://api.telnyx.com/v2/ai/conversations/550e8400-e29b-41d4-a716-446655440000/conversations-insights"
```
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)
```bash
curl \
-X POST \
-H "Authorization: Bearer $TELNYX_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"role": "Role",
"content": "",
"name": "Name",
"tool_choice": "string",
"tool_calls": [],
"tool_call_id": "Tool Call Id",
"sent_at": "2024-01-23T18:10:02.574Z"
}' \
"https://api.telnyx.com/v2/ai/conversations/550e8400-e29b-41d4-a716-446655440000/message"
```
## Get conversation messages
Retrieve messages for a specific conversation, including tool calls made by the assistant.
`GET /ai/conversations/{conversation_id}/messages`
```bash
curl -H "Authorization: Bearer $TELNYX_API_KEY" "https://api.telnyx.com/v2/ai/conversations/550e8400-e29b-41d4-a716-446655440000/messages"
```
Returns: `created_at` (date-time), `metadata` (object), `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`
```bash
curl -H "Authorization: Bearer $TELNYX_API_KEY" "https://api.telnyx.com/v2/ai/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), `user_id` (string)
## Embed documents
Perform embedding on a Telnyx Storage Bucket using an embedding model. The current supported file types are:
- PDF
- HTML
- txt/unstructured text files
- json
- csv
- audio / video (mp3, mp4, mpeg, mpga, m4a, wav, or webm ) - Max of 100mb file size. Any files not matching the above types will be attempted to be embedded as unstructured text.
`POST /ai/embeddings` — Required: `bucket_name`
Optional: `document_chunk_overlap_size` (integer), `document_chunk_size` (integer), `embedding_model` (object), `loader` (object)
```bash
curl \
-X POST \
-H "Authorization: Bearer $TELNYX_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"bucket_name": "Bucket Name",
"document_chunk_size": 1024,
"document_chunk_overlap_size": 512,
"embedding_model": "intfloat/multilingual-e5-large",
"loader": "default"
}' \
"https://api.telnyx.com/v2/ai/embeddings"
```
Returns: `created_at` (string), `finished_at` (string | null), `status` (string), `task_id` (uuid), `task_name` (string), `user_id` (uuid)
## List embedded buckets
Returns the list of storage buckets that have been embedded for your account, for use with similarity search.
`GET /ai/embeddings/buckets`
```bash
curl -H "Authorization: Bearer $TELNYX_API_KEY" "https://api.telnyx.com/v2/ai/embeddings/buckets"
```
Returns: `buckets` (array[string])
## Get file-level embedding statuses for a bucket
Get all embedded files for a given user bucket, including their processing status.
`GET /ai/embeddings/buckets/{bucket_name}`
```bash
curl -H "Authorization: Bearer $TELNYX_API_KEY" "https://api.telnyx.com/v2/ai/embeddings/buckets/{bucket_name}"
```
Returns: `created_at` (date-time), `error_reason` (string), `filename` (string), `last_embedded_at` (date-time), `status` (string), `updated_at` (date-time)
## Disable AI for an Embedded Bucket
Deletes an entire bucket's embeddings and disables the bucket for AI-use, returning it to normal storage pricing.
`DELETE /ai/embeddings/buckets/{bucket_name}`
```bash
curl \
-X DELETE \
-H "Authorization: Bearer $TELNYX_API_KEY" \
"https://api.telnyx.com/v2/ai/embeddings/buckets/{bucket_name}"
```
## Search for documents
Perform a similarity search on a Telnyx Storage Bucket, returning the most similar `num_docs` document chunks to the query. Currently the only available distance metric is cosine similarity which will return a `distance` between 0 and 1. The lower the distance, the more similar the returned document chunks are to the query.
`POST /ai/embeddings/similarity-search` — Required: `bucket_name`, `query`
Optional: `num_of_docs` (integer)
```bash
curl \
-X POST \
-H "Authorization: Bearer $TELNYX_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"bucket_name": "Bucket Name",
"query": "Query",
"num_of_docs": 3
}' \
"https://api.telnyx.com/v2/ai/embeddings/similarity-search"
```
Returns: `distance` (number), `document_chunk` (string), `metadata` (object)
## Embed URL content
Embed website content from a specified URL, including child pages up to 5 levels deep within the same domain. The process crawls and loads content from the main URL and its linked pages into a Telnyx Cloud Storage bucket.
`POST /ai/embeddings/url` — Required: `url`, `bucket_name`
```bash
curl \
-X POST \
-H "Authorization: Bearer $TELNYX_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"url": "URL",
"bucket_name": "Bucket Name"
}' \
"https://api.telnyx.com/v2/ai/embeddings/url"
```
Returns: `created_at` (string), `finished_at` (string | null), `status` (string), `task_id` (uuid), `task_name` (string), `user_id` (uuid)
## Get an embedding task's status
Check the status of a current embedding task. Will be one of the following:
- `queued` - Task is waiting to be picked up by a worker
- `processing` - The embedding task is running
- `success` - Task completed successfully and the bucket is embedded
- `failure` - Task failed and no files were embedded successfully
- `partial_success` - Some files were embedded successfully, but at least one failed
`GET /ai/embeddings/{task_id}`
```bash
curl -H "Authorization: Bearer $TELNYX_API_KEY" "https://api.telnyx.com/v2/ai/embeddings/{task_id}"
```
Returns: `created_at` (string), `finished_at` (string), `status` (enum: queued, processing, success, failure, partial_success), `task_id` (uuid), `task_name` (string)
## List fine tuning jobs
Retrieve a list of all fine tuning jobs created by the user.
`GET /ai/fine_tuning/jobs`
```bash
curl -H "Authorization: Bearer $TELNYX_API_KEY" "https://api.telnyx.com/v2/ai/fine_tuning/jobs"
```
Returns: `created_at` (integer), `finished_at` (integer | null), `hyperparameters` (object), `id` (string), `model` (string), `organization_id` (string), `status` (enum: queued, running, succeeded, failed, cancelled), `trained_tokens` (integer | null), `training_file` (string)
## Create a fine tuning job
Creates a new fine-tuning job that trains a model on the provided dataset, and returns the created job.
`POST /ai/fine_tuning/jobs` — Required: `model`, `training_file`
Optional: `hyperparameters` (object), `suffix` (string)
```bash
curl \
-X POST \
-H "Authorization: Bearer $TELNYX_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "openai/gpt-4o",
"training_file": "training-data.jsonl",
"suffix": "string",
"hyperparameters": {
"n_epochs": 3
}
}' \
"https://api.telnyx.com/v2/ai/fine_tuning/jobs"
```
Returns: `created_at` (integer), `finished_at` (integer | null), `hyperparameters` (object), `id` (string), `model` (string), `organization_id` (string), `status` (enum: queued, running, succeeded, failed, cancelled), `trained_tokens` (integer | null), `training_file` (string)
## Get a fine tuning job
Returns the details of a single fine-tuning job by its job_id, including its current status.
`GET /ai/fine_tuning/jobs/{job_id}`
```bash
curl -H "Authorization: Bearer $TELNYX_API_KEY" "https://api.telnyx.com/v2/ai/fine_tuning/jobs/{job_id}"
```
Returns: `created_at` (integer), `finished_at` (integer | null), `hyperparameters` (object), `id` (string), `model` (string), `organization_id` (string), `status` (enum: queued, running, succeeded, failed, cancelled), `trained_tokens` (integer | null), `training_file` (string)
## Cancel a fine tuning job
Cancels the specified in-progress fine-tuning job and returns the updated job.
`POST /ai/fine_tuning/jobs/{job_id}/cancel`
```bash
curl \
-X POST \
-H "Authorization: Bearer $TELNYX_API_KEY" \
-H "Content-Type: application/json" \
"https://api.telnyx.com/v2/ai/fine_tuning/jobs/{job_id}/cancel"
```
Returns: `created_at` (integer), `finished_at` (integer | null), `hyperparameters` (object), `id` (string), `model` (string), `organization_id` (string), `status` (enum: queued, running, succeeded, failed, cancelled), `trained_tokens` (integer | null), `training_file` (string)
## Get available models
**Deprecated**: Use `GET /v2/ai/openai/models` instead. Returns the same `ModelsResponse` payload as the OpenAI-compatible endpoint — open-source LLMs hosted on Telnyx (e.g. `moonshotai/Kimi-K2.6`, `zai-org/GLM-5.1-FP8`, `MiniMaxAI/MiniMax-M2.7`), embedding models, and fine-tuned models — kept around for backwards compatibility.
`GET /ai/models`
```bash
curl -H "Authorization: Bearer $TELNYX_API_KEY" "https://api.telnyx.com/v2/ai/models"
```
Returns: `base_model` (string | null), `context_length` (integer), `created` (date-time), `description` (string | null), `id` (string), `is_fine_tunable` (boolean), `is_vision_supported` (boolean), `languages` (array[string]), `license` (string), `max_completion_tokens` (integer | null), `object` (string), `organization` (string), `owned_by` (string), `parameters` (integer), `parameters_str` (string | null), `pricing` (object), `recommended_for_assistants` (boolean), `regions` (array[string]), `service_tiers` (array[string]), `task` (string), `tier` (enum: small, medium, large, unlisted)
## Create embeddings
Creates an embedding vector representing the input text. This endpoint is compatible with the [OpenAI Embeddings API](https://platform.openai.com/docs/api-reference/embeddings) and may be used with the OpenAI JS or Python SDK by setting the base URL to `https://api.telnyx.com/v2/ai/openai`.
`POST /ai/openai/embeddings` — Required: `input`, `model`
Optional: `dimensions` (integer), `encoding_format` (enum: float, base64), `user` (string)
```bash
curl \
-X POST \
-H "Authorization: Bearer $TELNYX_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"input": "The quick brown fox jumps over the lazy dog",
"model": "thenlper/gte-large"
}' \
"https://api.telnyx.com/v2/ai/openai/embeddings"
```
Returns: `data` (array[object]), `model` (string), `object` (string), `usage` (object)
## List embedding models
Returns a list of available embedding models. This endpoint is compatible with the OpenAI Models API format.
`GET /ai/openai/embeddings/models`
```bash
curl -H "Authorization: Bearer $TELNYX_API_KEY" "https://api.telnyx.com/v2/ai/openai/embeddings/models"
```
Returns: `created` (integer), `id` (string), `object` (string), `owned_by` (string)
## Create a response
**Deprecated**: Use `POST /v2/ai/openai/responses` instead. This endpoint is compatible with the [OpenAI Responses API](https://developers.openai.com/api/reference/responses/overview) and may be used with the OpenAI JS or Python SDK. Response id parameter is not supported at the moment. Use the `conversation` parameter with a Telnyx Conversation ID to leverage persistent conversations.
`POST /ai/responses`
```bash
curl \
-X POST \
-H "Authorization: Bearer $TELNYX_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "zai-org/GLM-5.1-FP8",
"input": [
{
"role": "system",
"content": [
{
"type": "input_text",
"text": "You are a friendly chatbot."
}
]
},
{
"role": "user",
"content": [
{
"type": "input_text",
"text": "Hello, world!"
}
]
}
]
}' \
"https://api.telnyx.com/v2/ai/responses"
```
## Summarize file content
Generate a summary of a file's contents. Supports the following text formats:
- PDF, HTML, txt, json, csv
Supports the following media formats (billed for both the transcription and summary):
- flac, mp3, mp4, mpeg, mpga, m4a, ogg, wav, or webm
- Up to 100 MB
`POST /ai/summarize` — Required: `bucket`, `filename`
Optional: `system_prompt` (string)
```bash
curl \
-X POST \
-H "Authorization: Bearer $TELNYX_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"bucket": "my-bucket",
"filename": "data.csv",
"system_prompt": "string"
}' \
"https://api.telnyx.com/v2/ai/summarize"
```
Returns: `summary` (string)
## Get all Speech to Text batch report requests
Retrieves all Speech to Text batch report requests for the authenticated user
`GET /legacy/reporting/batch/detail/records/speech/to/text`
```bash
curl -H "Authorization: Bearer $TELNYX_API_KEY" "https://api.telnyx.com/v2/legacy/reporting/batch/detail/records/speech/to/text"
```
Returns: `created_at` (date-time), `download_link` (string), `end_date` (date-time), `id` (string), `record_type` (string), `start_date` (date-time), `status` (enum: PENDING, COMPLETE, FAILED, EXPIRED)
## Create a new Speech to Text batch report request
Creates a new Speech to Text batch report request with the specified filters
`POST /legacy/reporting/batch/detail/records/speech/to/text` — Required: `start_date`, `end_date`
```bash
curl \
-X POST \
-H "Authorization: Bearer $TELNYX_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"start_date": "2020-07-01T00:00:00-06:00",
"end_date": "2020-07-01T00:00:00-06:00"
}' \
"https://api.telnyx.com/v2/legacy/reporting/batch/detail/records/speech/to/text"
```
Returns: `created_at` (date-time), `download_link` (string), `end_date` (date-time), `id` (string), `record_type` (string), `start_date` (date-time), `status` (enum: PENDING, COMPLETE, FAILED, EXPIRED)
## Get a specific Speech to Text batch report request
Retrieves a specific Speech to Text batch report request by ID
`GET /legacy/reporting/batch/detail/records/speech/to/text/{id}`
```bash
curl -H "Authorization: Bearer $TELNYX_API_KEY" "https://api.telnyx.com/v2/legacy/reporting/batch/detail/records/speech/to/text/550e8400-e29b-41d4-a716-446655440000"
```
Returns: `created_at` (date-time), `download_link` (string), `end_date` (date-time), `id` (string), `record_type` (string), `start_date` (date-time), `status` (enum: PENDING, COMPLETE, FAILED, EXPIRED)
## Delete a Speech to Text batch report request
Deletes a specific Speech to Text batch report request by ID
`DELETE /legacy/reporting/batch/detail/records/speech/to/text/{id}`
```bash
curl \
-X DELETE \
-H "Authorization: Bearer $TELNYX_API_KEY" \
"https://api.telnyx.com/v2/legacy/reporting/batch/detail/records/speech/to/text/550e8400-e29b-41d4-a716-446655440000"
```
Returns: `created_at` (date-time), `download_link` (string), `end_date` (date-time), `id` (string), `record_type` (string), `start_date` (date-time), `status` (enum: PENDING, COMPLETE, FAILED, EXPIRED)
## Get all Speech to Text batch report requests
Retrieves all Speech to Text batch report requests for the authenticated user
`GET /legacy/reporting/batch_detail_records/speech_to_text`
```bash
curl -H "Authorization: Bearer $TELNYX_API_KEY" "https://api.telnyx.com/v2/legacy/reporting/batch_detail_records/speech_to_text"
```
Returns: `created_at` (date-time), `download_link` (string), `end_date` (date-time), `id` (string), `record_type` (string), `start_date` (date-time), `status` (enum: PENDING, COMPLETE, FAILED, EXPIRED)
## Create a new Speech to Text batch report request
Creates a new Speech to Text batch report request with the specified filters
`POST /legacy/reporting/batch_detail_records/speech_to_text` — Required: `start_date`, `end_date`
```bash
curl \
-X POST \
-H "Authorization: Bearer $TELNYX_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"start_date": "2020-07-01T00:00:00-06:00",
"end_date": "2020-07-01T00:00:00-06:00"
}' \
"https://api.telnyx.com/v2/legacy/reporting/batch_detail_records/speech_to_text"
```
Returns: `created_at` (date-time), `download_link` (string), `end_date` (date-time), `id` (string), `record_type` (string), `start_date` (date-time), `status` (enum: PENDING, COMPLETE, FAILED, EXPIRED)
## Get a specific Speech to Text batch report request
Retrieves a specific Speech to Text batch report request by ID
`GET /legacy/reporting/batch_detail_records/speech_to_text/{id}`
```bash
curl -H "Authorization: Bearer $TELNYX_API_KEY" "https://api.telnyx.com/v2/legacy/reporting/batch_detail_records/speech_to_text/550e8400-e29b-41d4-a716-446655440000"
```
Returns: `created_at` (date-time), `download_link` (string), `end_date` (date-time), `id` (string), `record_type` (string), `start_date` (date-time), `status` (enum: PENDING, COMPLETE, FAILED, EXPIRED)
## Delete a Speech to Text batch report request
Deletes a specific Speech to Text batch report request by ID
`DELETE /legacy/reporting/batch_detail_records/speech_to_text/{id}`
```bash
curl \
-X DELETE \
-H "Authorization: Bearer $TELNYX_API_KEY" \
"https://api.telnyx.com/v2/legacy/reporting/batch_detail_records/speech_to_text/550e8400-e29b-41d4-a716-446655440000"
```
Returns: `created_at` (date-time), `download_link` (string), `end_date` (date-time), `id` (string), `record_type` (string), `start_date` (date-time), `status` (enum: PENDING, COMPLETE, FAILED, EXPIRED)
## Get speech to text usage report
Generate and fetch speech to text usage report synchronously. This endpoint will both generate and fetch the speech to text report over a specified time period.
`GET /legacy/reporting/usage_reports/speech_to_text`
```bash
curl -H "Authorization: Bearer $TELNYX_API_KEY" "https://api.telnyx.com/v2/legacy/reporting/usage_reports/speech_to_text?start_date=2020-07-02T00:00:00-06:00&end_date=2020-07-01T00:00:00-06:00"
```
Returns: `data` (object)
## Get speech to text usage report
Generate and fetch speech to text usage report synchronously. This endpoint will both generate and fetch the speech to text report over a specified time period.
`GET /legacy_reporting/usage_reports/speech_to_text`
```bash
curl -H "Authorization: Bearer $TELNYX_API_KEY" "https://api.telnyx.com/v2/legacy_reporting/usage_reports/speech_to_text?start_date=2020-07-02T00:00:00-06:00&end_date=2020-07-01T00:00:00-06:00"
```
Returns: `data` (object)
## Speech to text over WebSocket
Open a WebSocket connection to stream audio and receive transcriptions in real-time. Authentication is provided via the standard `Authorization: Bearer ` header. Supported engines: `Azure`, `Deepgram`, `Google`, `Telnyx`, `xAI`, `Speechmatics`, `Soniox`, `Parakeet`, `Humain`, `Reson8`, `Cohere`.
`GET /speech-to-text/transcription`
```bash
curl -H "Authorization: Bearer $TELNYX_API_KEY" "https://api.telnyx.com/v2/speech-to-text/transcription?transcription_engine=Telnyx&input_format=mp3&sample_rate=16000&language=en-US&interim_results=True&endpointing=500&redact=pci&keyterm=Telnyx&keywords=Telnyx,SIP,WebRTC"
```
## Stream text to speech over WebSocket
Open a WebSocket connection to stream text and receive synthesized audio in real time. Authentication is provided via the standard `Authorization: Bearer ` header. Send JSON frames with text to synthesize; receive JSON frames containing base64-encoded audio chunks.
`GET /text-to-speech/speech`
```bash
curl -H "Authorization: Bearer $TELNYX_API_KEY" "https://api.telnyx.com/v2/text-to-speech/speech"
```
## Generate speech from text
Generate synthesized speech audio from text input. Returns audio in the requested format (binary audio stream, base64-encoded JSON, or an audio URL for later retrieval). Authentication is provided via the standard `Authorization: Bearer ` header.
`POST /text-to-speech/speech`
Optional: `aws` (object), `azure` (object), `disable_cache` (boolean), `elevenlabs` (object), `humain` (object), `language` (string), `minimax` (object), `output_type` (enum: binary_output, base64_output), `provider` (enum: aws, telnyx, azure, elevenlabs, minimax, resemble, xai, humain, soniox), `resemble` (object), `soniox` (object), `telnyx` (object), `text` (string), `text_type` (enum: text, ssml), `voice` (string), `voice_settings` (object), `xai` (object)
```bash
curl \
-X POST \
-H "Authorization: Bearer $TELNYX_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"voice": "string",
"text": "string",
"provider": "aws",
"language": "string",
"text_type": "text",
"output_type": "binary_output",
"disable_cache": false,
"aws": {
"language_code": "string",
"text_type": "text",
"lexicon_names": [
"string"
],
"output_format": "string",
"sample_rate": "string"
},
"telnyx": {
"voice_speed": 1.0,
"response_format": "mp3",
"sampling_rate": 24000,
"volume": 1.0,
"emotion": "neutral"
},
"azure": {
"language_code": "en-US",
"output_format": "audio-24khz-160kbitrate-mono-mp3",
"text_type": "text",
"api_key": "string",
"region": "string",
"deployment_id": "string",
"effect": "string",
"gender": "string"
},
"elevenlabs": {
"language_code": "string",
"api_key": "string"
},
"minimax": {
"speed": 0,
"vol": 0,
"pitch": 0,
"response_format": "string",
"language_boost": "string"
},
"resemble": {
"api_key": "string",
"precision": "string",
"sample_rate": "string",
"format": "string"
},
"xai": {
"voice_id": "eve",
"language": "auto",
"output_format": "mp3",
"sample_rate": 24000
},
"humain": {
"voice_id": "sara-en",
"ttfb_eagerness": 0
},
"soniox": {
"voice_id": "Emma",
"model_id": "tts-rt-v2",
"language": "en",
"speed": 1.0,
"audio_format": "mp3"
}
}' \
"https://api.telnyx.com/v2/text-to-speech/speech"
```
Returns: `base64_audio` (string)
## List available voices
Retrieve a list of available voices from one or all TTS providers. When `provider` is specified, returns voices for that provider only. Otherwise, returns voices from all providers.
`GET /text-to-speech/voices`
```bash
curl -H "Authorization: Bearer $TELNYX_API_KEY" "https://api.telnyx.com/v2/text-to-speech/voices"
```
Returns: `voices` (array[object])
---
name: telnyx-ai-inference-curl-4c1f35aa1186
description: >-
Access Telnyx LLM inference APIs, embeddings, and AI analytics for call
insights and summaries. This skill provides REST API (curl) examples.
metadata:
author: telnyx
product: ai-inference
language: curl
generated_by: telnyx-openapi-pipeline
---
<!-- Auto-generated from Telnyx OpenAPI specs. Do not edit. -->
# Telnyx Ai Inference - curl
## Installation
```text
# curl is pre-installed on macOS, Linux, and Windows 10+
```
## Setup
```bash
export TELNYX_API_KEY="YOUR_API_KEY_HERE"
```
All examples below use `$TELNYX_API_KEY` for authentication.
## 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:
```bash
# Check HTTP status code in response
response=$(curl -s -w "\n%{http_code}" \
-X POST "https://api.telnyx.com/v2/messages" \
-H "Authorization: Bearer $TELNYX_API_KEY" \
-H "Content-Type: application/json" \
-d '{"to": "+13125550001", "from": "+13125550002", "text": "Hello"}')
http_code=$(echo "$response" | tail -1)
body=$(echo "$response" | sed '$d')
case $http_code in
2*) echo "Success: $body" ;;
422) echo "Validation error — check required fields and formats" ;;
429) echo "Rate limited — retry after delay"; sleep 1 ;;
401) echo "Authentication failed — check TELNYX_API_KEY" ;;
*) echo "Error $http_code: $body" ;;
esac
```
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:** List endpoints return paginated results. Use `page[number]` and `page[size]` query parameters to navigate pages. Check `meta.total_pages` in the response.
## 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`
```bash
curl \
-X POST \
-H "Authorization: Bearer $TELNYX_API_KEY" \
-F "file=@/path/to/file" \
-F "file_url=https://example.com/file.mp3" \
-F "model=distil-whisper/distil-large-v2" \
-F "response_format=json" \
-F "timestamp_granularities[]=segment" \
-F "language=en-US" \
-F "model_config={'smart_format': True, 'punctuate': True}" \
"https://api.telnyx.com/v2/ai/audio/transcriptions"
```
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), `length_penalty` (number), `logprobs` (boolean), `max_tokens` (integer | null), `min_p` (number), `mode` (enum: preferred, strict), `model` (string), `n` (number), `presence_penalty` (number), `reasoning_effort` (enum: none, minimal, low, medium, high, xhigh, max), `region` (enum: USA, EU, AUS, UAE), `response_format` (object), `seed` (integer), `service_tier` (string), `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)
```bash
curl \
-X POST \
-H "Authorization: Bearer $TELNYX_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"messages": [
{
"role": "system",
"content": "You are a friendly chatbot."
},
{
"role": "user",
"content": "Hello, world!"
}
]
}' \
"https://api.telnyx.com/v2/ai/chat/completions"
```
## 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`
```bash
curl -H "Authorization: Bearer $TELNYX_API_KEY" "https://api.telnyx.com/v2/ai/conversations"
```
Returns: `created_at` (date-time), `id` (uuid), `last_message_at` (date-time), `metadata` (object), `name` (string)
## Create a conversation
Creates a new AI conversation, the container for messages exchanged with an assistant, and returns the created conversation.
`POST /ai/conversations`
Optional: `metadata` (object), `name` (string)
```bash
curl \
-X POST \
-H "Authorization: Bearer $TELNYX_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"name": "my-resource"
}' \
"https://api.telnyx.com/v2/ai/conversations"
```
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`
```bash
curl -H "Authorization: Bearer $TELNYX_API_KEY" "https://api.telnyx.com/v2/ai/conversations/conversation-insights/aggregates"
```
Returns: `record_count` (integer)
## Get Insight Template Groups
Returns a paginated list of your insight template groups. Groups organize related insight templates that are applied together when analyzing conversations.
`GET /ai/conversations/insight-groups`
```bash
curl -H "Authorization: Bearer $TELNYX_API_KEY" "https://api.telnyx.com/v2/ai/conversations/insight-groups"
```
Returns: `created_at` (date-time), `description` (string), `id` (uuid), `insights` (array[object]), `name` (string), `webhook` (string)
## Create Insight Template Group
Creates a new insight template group for organizing related insight templates, and returns the created group.
`POST /ai/conversations/insight-groups` — Required: `name`
Optional: `description` (string), `webhook` (string)
```bash
curl \
-X POST \
-H "Authorization: Bearer $TELNYX_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"name": "Name",
"description": "Description",
"webhook": ""
}' \
"https://api.telnyx.com/v2/ai/conversations/insight-groups"
```
Returns: `created_at` (date-time), `description` (string), `id` (uuid), `insights` (array[object]), `name` (string), `webhook` (string)
## Get Insight Template Group
Returns the details of a single insight template group, including the insight templates assigned to it.
`GET /ai/conversations/insight-groups/{group_id}`
```bash
curl -H "Authorization: Bearer $TELNYX_API_KEY" "https://api.telnyx.com/v2/ai/conversations/insight-groups/{group_id}"
```
Returns: `created_at` (date-time), `description` (string), `id` (uuid), `insights` (array[object]), `name` (string), `webhook` (string)
## Update Insight Template Group
Updates the specified insight template group and returns the updated group.
`PUT /ai/conversations/insight-groups/{group_id}`
Optional: `description` (string), `name` (string), `webhook` (string)
```bash
curl \
-X PUT \
-H "Authorization: Bearer $TELNYX_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"name": "Name",
"description": "Description",
"webhook": "Webhook"
}' \
"https://api.telnyx.com/v2/ai/conversations/insight-groups/{group_id}"
```
Returns: `created_at` (date-time), `description` (string), `id` (uuid), `insights` (array[object]), `name` (string), `webhook` (string)
## Delete Insight Template Group
Permanently deletes the specified insight template group by its ID.
`DELETE /ai/conversations/insight-groups/{group_id}`
```bash
curl \
-X DELETE \
-H "Authorization: Bearer $TELNYX_API_KEY" \
"https://api.telnyx.com/v2/ai/conversations/insight-groups/{group_id}"
```
## Assign Insight Template To Group
Assigns the specified insight template to the specified insight template group.
`POST /ai/conversations/insight-groups/{group_id}/insights/{insight_id}/assign`
```bash
curl \
-X POST \
-H "Authorization: Bearer $TELNYX_API_KEY" \
-H "Content-Type: application/json" \
"https://api.telnyx.com/v2/ai/conversations/insight-groups/{group_id}/insights/{insight_id}/assign"
```
## Unassign Insight Template From Group
Removes the specified insight template from the specified group. The insight template itself is not deleted.
`DELETE /ai/conversations/insight-groups/{group_id}/insights/{insight_id}/unassign`
```bash
curl \
-X DELETE \
-H "Authorization: Bearer $TELNYX_API_KEY" \
"https://api.telnyx.com/v2/ai/conversations/insight-groups/{group_id}/insights/{insight_id}/unassign"
```
## Get Insight Templates
Returns a paginated list of your insight templates. Insight templates define analyses that run over AI conversations to extract structured findings.
`GET /ai/conversations/insights`
```bash
curl -H "Authorization: Bearer $TELNYX_API_KEY" "https://api.telnyx.com/v2/ai/conversations/insights"
```
Returns: `created_at` (date-time), `id` (uuid), `insight_type` (enum: custom, default), `instructions` (string), `json_schema` (object), `name` (string), `webhook` (string)
## Create Insight Template
Creates a new insight template defining an analysis to run over conversations, and returns the created template.
`POST /ai/conversations/insights` — Required: `instructions`, `name`
Optional: `json_schema` (object), `webhook` (string)
```bash
curl \
-X POST \
-H "Authorization: Bearer $TELNYX_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"instructions": "Instructions",
"name": "Name",
"webhook": "",
"json_schema": "string"
}' \
"https://api.telnyx.com/v2/ai/conversations/insights"
```
Returns: `created_at` (date-time), `id` (uuid), `insight_type` (enum: custom, default), `instructions` (string), `json_schema` (object), `name` (string), `webhook` (string)
## Get Insight Template
Returns the details of a single insight template by its ID, including its configuration.
`GET /ai/conversations/insights/{insight_id}`
```bash
curl -H "Authorization: Bearer $TELNYX_API_KEY" "https://api.telnyx.com/v2/ai/conversations/insights/{insight_id}"
```
Returns: `created_at` (date-time), `id` (uuid), `insight_type` (enum: custom, default), `instructions` (string), `json_schema` (object), `name` (string), `webhook` (string)
## Update Insight Template
Updates the specified insight template and returns the updated template.
`PUT /ai/conversations/insights/{insight_id}`
Optional: `instructions` (string), `json_schema` (object), `name` (string), `webhook` (string)
```bash
curl \
-X PUT \
-H "Authorization: Bearer $TELNYX_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"instructions": "Instructions",
"name": "Name",
"webhook": "Webhook",
"json_schema": "string"
}' \
"https://api.telnyx.com/v2/ai/conversations/insights/{insight_id}"
```
Returns: `created_at` (date-time), `id` (uuid), `insight_type` (enum: custom, default), `instructions` (string), `json_schema` (object), `name` (string), `webhook` (string)
## Delete Insight Template
Permanently deletes the specified insight template by its ID.
`DELETE /ai/conversations/insights/{insight_id}`
```bash
curl \
-X DELETE \
-H "Authorization: Bearer $TELNYX_API_KEY" \
"https://api.telnyx.com/v2/ai/conversations/insights/{insight_id}"
```
## Get a conversation
Retrieve a specific AI conversation by its ID.
`GET /ai/conversations/{conversation_id}`
```bash
curl -H "Authorization: Bearer $TELNYX_API_KEY" "https://api.telnyx.com/v2/ai/conversations/550e8400-e29b-41d4-a716-446655440000"
```
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)
```bash
curl \
-X PUT \
-H "Authorization: Bearer $TELNYX_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"metadata": {
"ai_disabled": "true"
}
}' \
"https://api.telnyx.com/v2/ai/conversations/550e8400-e29b-41d4-a716-446655440000"
```
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}`
```bash
curl \
-X DELETE \
-H "Authorization: Bearer $TELNYX_API_KEY" \
"https://api.telnyx.com/v2/ai/conversations/550e8400-e29b-41d4-a716-446655440000"
```
## Get insights for a conversation
Retrieve insights for a specific conversation
`GET /ai/conversations/{conversation_id}/conversations-insights`
```bash
curl -H "Authorization: Bearer $TELNYX_API_KEY" "https://api.telnyx.com/v2/ai/conversations/550e8400-e29b-41d4-a716-446655440000/conversations-insights"
```
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)
```bash
curl \
-X POST \
-H "Authorization: Bearer $TELNYX_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"role": "Role",
"content": "",
"name": "Name",
"tool_choice": "string",
"tool_calls": [],
"tool_call_id": "Tool Call Id",
"sent_at": "2024-01-23T18:10:02.574Z"
}' \
"https://api.telnyx.com/v2/ai/conversations/550e8400-e29b-41d4-a716-446655440000/message"
```
## Get conversation messages
Retrieve messages for a specific conversation, including tool calls made by the assistant.
`GET /ai/conversations/{conversation_id}/messages`
```bash
curl -H "Authorization: Bearer $TELNYX_API_KEY" "https://api.telnyx.com/v2/ai/conversations/550e8400-e29b-41d4-a716-446655440000/messages"
```
Returns: `created_at` (date-time), `metadata` (object), `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`
```bash
curl -H "Authorization: Bearer $TELNYX_API_KEY" "https://api.telnyx.com/v2/ai/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), `user_id` (string)
## Embed documents
Perform embedding on a Telnyx Storage Bucket using an embedding model. The current supported file types are:
- PDF
- HTML
- txt/unstructured text files
- json
- csv
- audio / video (mp3, mp4, mpeg, mpga, m4a, wav, or webm ) - Max of 100mb file size. Any files not matching the above types will be attempted to be embedded as unstructured text.
`POST /ai/embeddings` — Required: `bucket_name`
Optional: `document_chunk_overlap_size` (integer), `document_chunk_size` (integer), `embedding_model` (object), `loader` (object)
```bash
curl \
-X POST \
-H "Authorization: Bearer $TELNYX_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"bucket_name": "Bucket Name",
"document_chunk_size": 1024,
"document_chunk_overlap_size": 512,
"embedding_model": "intfloat/multilingual-e5-large",
"loader": "default"
}' \
"https://api.telnyx.com/v2/ai/embeddings"
```
Returns: `created_at` (string), `finished_at` (string | null), `status` (string), `task_id` (uuid), `task_name` (string), `user_id` (uuid)
## List embedded buckets
Returns the list of storage buckets that have been embedded for your account, for use with similarity search.
`GET /ai/embeddings/buckets`
```bash
curl -H "Authorization: Bearer $TELNYX_API_KEY" "https://api.telnyx.com/v2/ai/embeddings/buckets"
```
Returns: `buckets` (array[string])
## Get file-level embedding statuses for a bucket
Get all embedded files for a given user bucket, including their processing status.
`GET /ai/embeddings/buckets/{bucket_name}`
```bash
curl -H "Authorization: Bearer $TELNYX_API_KEY" "https://api.telnyx.com/v2/ai/embeddings/buckets/{bucket_name}"
```
Returns: `created_at` (date-time), `error_reason` (string), `filename` (string), `last_embedded_at` (date-time), `status` (string), `updated_at` (date-time)
## Disable AI for an Embedded Bucket
Deletes an entire bucket's embeddings and disables the bucket for AI-use, returning it to normal storage pricing.
`DELETE /ai/embeddings/buckets/{bucket_name}`
```bash
curl \
-X DELETE \
-H "Authorization: Bearer $TELNYX_API_KEY" \
"https://api.telnyx.com/v2/ai/embeddings/buckets/{bucket_name}"
```
## Search for documents
Perform a similarity search on a Telnyx Storage Bucket, returning the most similar `num_docs` document chunks to the query. Currently the only available distance metric is cosine similarity which will return a `distance` between 0 and 1. The lower the distance, the more similar the returned document chunks are to the query.
`POST /ai/embeddings/similarity-search` — Required: `bucket_name`, `query`
Optional: `num_of_docs` (integer)
```bash
curl \
-X POST \
-H "Authorization: Bearer $TELNYX_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"bucket_name": "Bucket Name",
"query": "Query",
"num_of_docs": 3
}' \
"https://api.telnyx.com/v2/ai/embeddings/similarity-search"
```
Returns: `distance` (number), `document_chunk` (string), `metadata` (object)
## Embed URL content
Embed website content from a specified URL, including child pages up to 5 levels deep within the same domain. The process crawls and loads content from the main URL and its linked pages into a Telnyx Cloud Storage bucket.
`POST /ai/embeddings/url` — Required: `url`, `bucket_name`
```bash
curl \
-X POST \
-H "Authorization: Bearer $TELNYX_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"url": "URL",
"bucket_name": "Bucket Name"
}' \
"https://api.telnyx.com/v2/ai/embeddings/url"
```
Returns: `created_at` (string), `finished_at` (string | null), `status` (string), `task_id` (uuid), `task_name` (string), `user_id` (uuid)
## Get an embedding task's status
Check the status of a current embedding task. Will be one of the following:
- `queued` - Task is waiting to be picked up by a worker
- `processing` - The embedding task is running
- `success` - Task completed successfully and the bucket is embedded
- `failure` - Task failed and no files were embedded successfully
- `partial_success` - Some files were embedded successfully, but at least one failed
`GET /ai/embeddings/{task_id}`
```bash
curl -H "Authorization: Bearer $TELNYX_API_KEY" "https://api.telnyx.com/v2/ai/embeddings/{task_id}"
```
Returns: `created_at` (string), `finished_at` (string), `status` (enum: queued, processing, success, failure, partial_success), `task_id` (uuid), `task_name` (string)
## List fine tuning jobs
Retrieve a list of all fine tuning jobs created by the user.
`GET /ai/fine_tuning/jobs`
```bash
curl -H "Authorization: Bearer $TELNYX_API_KEY" "https://api.telnyx.com/v2/ai/fine_tuning/jobs"
```
Returns: `created_at` (integer), `finished_at` (integer | null), `hyperparameters` (object), `id` (string), `model` (string), `organization_id` (string), `status` (enum: queued, running, succeeded, failed, cancelled), `trained_tokens` (integer | null), `training_file` (string)
## Create a fine tuning job
Creates a new fine-tuning job that trains a model on the provided dataset, and returns the created job.
`POST /ai/fine_tuning/jobs` — Required: `model`, `training_file`
Optional: `hyperparameters` (object), `suffix` (string)
```bash
curl \
-X POST \
-H "Authorization: Bearer $TELNYX_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "openai/gpt-4o",
"training_file": "training-data.jsonl",
"suffix": "string",
"hyperparameters": {
"n_epochs": 3
}
}' \
"https://api.telnyx.com/v2/ai/fine_tuning/jobs"
```
Returns: `created_at` (integer), `finished_at` (integer | null), `hyperparameters` (object), `id` (string), `model` (string), `organization_id` (string), `status` (enum: queued, running, succeeded, failed, cancelled), `trained_tokens` (integer | null), `training_file` (string)
## Get a fine tuning job
Returns the details of a single fine-tuning job by its job_id, including its current status.
`GET /ai/fine_tuning/jobs/{job_id}`
```bash
curl -H "Authorization: Bearer $TELNYX_API_KEY" "https://api.telnyx.com/v2/ai/fine_tuning/jobs/{job_id}"
```
Returns: `created_at` (integer), `finished_at` (integer | null), `hyperparameters` (object), `id` (string), `model` (string), `organization_id` (string), `status` (enum: queued, running, succeeded, failed, cancelled), `trained_tokens` (integer | null), `training_file` (string)
## Cancel a fine tuning job
Cancels the specified in-progress fine-tuning job and returns the updated job.
`POST /ai/fine_tuning/jobs/{job_id}/cancel`
```bash
curl \
-X POST \
-H "Authorization: Bearer $TELNYX_API_KEY" \
-H "Content-Type: application/json" \
"https://api.telnyx.com/v2/ai/fine_tuning/jobs/{job_id}/cancel"
```
Returns: `created_at` (integer), `finished_at` (integer | null), `hyperparameters` (object), `id` (string), `model` (string), `organization_id` (string), `status` (enum: queued, running, succeeded, failed, cancelled), `trained_tokens` (integer | null), `training_file` (string)
## Get available models
**Deprecated**: Use `GET /v2/ai/openai/models` instead. Returns the same `ModelsResponse` payload as the OpenAI-compatible endpoint — open-source LLMs hosted on Telnyx (e.g. `moonshotai/Kimi-K2.6`, `zai-org/GLM-5.1-FP8`, `MiniMaxAI/MiniMax-M2.7`), embedding models, and fine-tuned models — kept around for backwards compatibility.
`GET /ai/models`
```bash
curl -H "Authorization: Bearer $TELNYX_API_KEY" "https://api.telnyx.com/v2/ai/models"
```
Returns: `base_model` (string | null), `context_length` (integer), `created` (date-time), `description` (string | null), `id` (string), `is_fine_tunable` (boolean), `is_vision_supported` (boolean), `languages` (array[string]), `license` (string), `max_completion_tokens` (integer | null), `object` (string), `organization` (string), `owned_by` (string), `parameters` (integer), `parameters_str` (string | null), `pricing` (object), `recommended_for_assistants` (boolean), `regions` (array[string]), `service_tiers` (array[string]), `task` (string), `tier` (enum: small, medium, large, unlisted)
## Create embeddings
Creates an embedding vector representing the input text. This endpoint is compatible with the [OpenAI Embeddings API](https://platform.openai.com/docs/api-reference/embeddings) and may be used with the OpenAI JS or Python SDK by setting the base URL to `https://api.telnyx.com/v2/ai/openai`.
`POST /ai/openai/embeddings` — Required: `input`, `model`
Optional: `dimensions` (integer), `encoding_format` (enum: float, base64), `user` (string)
```bash
curl \
-X POST \
-H "Authorization: Bearer $TELNYX_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"input": "The quick brown fox jumps over the lazy dog",
"model": "thenlper/gte-large"
}' \
"https://api.telnyx.com/v2/ai/openai/embeddings"
```
Returns: `data` (array[object]), `model` (string), `object` (string), `usage` (object)
## List embedding models
Returns a list of available embedding models. This endpoint is compatible with the OpenAI Models API format.
`GET /ai/openai/embeddings/models`
```bash
curl -H "Authorization: Bearer $TELNYX_API_KEY" "https://api.telnyx.com/v2/ai/openai/embeddings/models"
```
Returns: `created` (integer), `id` (string), `object` (string), `owned_by` (string)
## Create a response
**Deprecated**: Use `POST /v2/ai/openai/responses` instead. This endpoint is compatible with the [OpenAI Responses API](https://developers.openai.com/api/reference/responses/overview) and may be used with the OpenAI JS or Python SDK. Response id parameter is not supported at the moment. Use the `conversation` parameter with a Telnyx Conversation ID to leverage persistent conversations.
`POST /ai/responses`
```bash
curl \
-X POST \
-H "Authorization: Bearer $TELNYX_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "zai-org/GLM-5.1-FP8",
"input": [
{
"role": "system",
"content": [
{
"type": "input_text",
"text": "You are a friendly chatbot."
}
]
},
{
"role": "user",
"content": [
{
"type": "input_text",
"text": "Hello, world!"
}
]
}
]
}' \
"https://api.telnyx.com/v2/ai/responses"
```
## Summarize file content
Generate a summary of a file's contents. Supports the following text formats:
- PDF, HTML, txt, json, csv
Supports the following media formats (billed for both the transcription and summary):
- flac, mp3, mp4, mpeg, mpga, m4a, ogg, wav, or webm
- Up to 100 MB
`POST /ai/summarize` — Required: `bucket`, `filename`
Optional: `system_prompt` (string)
```bash
curl \
-X POST \
-H "Authorization: Bearer $TELNYX_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"bucket": "my-bucket",
"filename": "data.csv",
"system_prompt": "string"
}' \
"https://api.telnyx.com/v2/ai/summarize"
```
Returns: `summary` (string)
## Get all Speech to Text batch report requests
Retrieves all Speech to Text batch report requests for the authenticated user
`GET /legacy/reporting/batch/detail/records/speech/to/text`
```bash
curl -H "Authorization: Bearer $TELNYX_API_KEY" "https://api.telnyx.com/v2/legacy/reporting/batch/detail/records/speech/to/text"
```
Returns: `created_at` (date-time), `download_link` (string), `end_date` (date-time), `id` (string), `record_type` (string), `start_date` (date-time), `status` (enum: PENDING, COMPLETE, FAILED, EXPIRED)
## Create a new Speech to Text batch report request
Creates a new Speech to Text batch report request with the specified filters
`POST /legacy/reporting/batch/detail/records/speech/to/text` — Required: `start_date`, `end_date`
```bash
curl \
-X POST \
-H "Authorization: Bearer $TELNYX_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"start_date": "2020-07-01T00:00:00-06:00",
"end_date": "2020-07-01T00:00:00-06:00"
}' \
"https://api.telnyx.com/v2/legacy/reporting/batch/detail/records/speech/to/text"
```
Returns: `created_at` (date-time), `download_link` (string), `end_date` (date-time), `id` (string), `record_type` (string), `start_date` (date-time), `status` (enum: PENDING, COMPLETE, FAILED, EXPIRED)
## Get a specific Speech to Text batch report request
Retrieves a specific Speech to Text batch report request by ID
`GET /legacy/reporting/batch/detail/records/speech/to/text/{id}`
```bash
curl -H "Authorization: Bearer $TELNYX_API_KEY" "https://api.telnyx.com/v2/legacy/reporting/batch/detail/records/speech/to/text/550e8400-e29b-41d4-a716-446655440000"
```
Returns: `created_at` (date-time), `download_link` (string), `end_date` (date-time), `id` (string), `record_type` (string), `start_date` (date-time), `status` (enum: PENDING, COMPLETE, FAILED, EXPIRED)
## Delete a Speech to Text batch report request
Deletes a specific Speech to Text batch report request by ID
`DELETE /legacy/reporting/batch/detail/records/speech/to/text/{id}`
```bash
curl \
-X DELETE \
-H "Authorization: Bearer $TELNYX_API_KEY" \
"https://api.telnyx.com/v2/legacy/reporting/batch/detail/records/speech/to/text/550e8400-e29b-41d4-a716-446655440000"
```
Returns: `created_at` (date-time), `download_link` (string), `end_date` (date-time), `id` (string), `record_type` (string), `start_date` (date-time), `status` (enum: PENDING, COMPLETE, FAILED, EXPIRED)
## Get all Speech to Text batch report requests
Retrieves all Speech to Text batch report requests for the authenticated user
`GET /legacy/reporting/batch_detail_records/speech_to_text`
```bash
curl -H "Authorization: Bearer $TELNYX_API_KEY" "https://api.telnyx.com/v2/legacy/reporting/batch_detail_records/speech_to_text"
```
Returns: `created_at` (date-time), `download_link` (string), `end_date` (date-time), `id` (string), `record_type` (string), `start_date` (date-time), `status` (enum: PENDING, COMPLETE, FAILED, EXPIRED)
## Create a new Speech to Text batch report request
Creates a new Speech to Text batch report request with the specified filters
`POST /legacy/reporting/batch_detail_records/speech_to_text` — Required: `start_date`, `end_date`
```bash
curl \
-X POST \
-H "Authorization: Bearer $TELNYX_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"start_date": "2020-07-01T00:00:00-06:00",
"end_date": "2020-07-01T00:00:00-06:00"
}' \
"https://api.telnyx.com/v2/legacy/reporting/batch_detail_records/speech_to_text"
```
Returns: `created_at` (date-time), `download_link` (string), `end_date` (date-time), `id` (string), `record_type` (string), `start_date` (date-time), `status` (enum: PENDING, COMPLETE, FAILED, EXPIRED)
## Get a specific Speech to Text batch report request
Retrieves a specific Speech to Text batch report request by ID
`GET /legacy/reporting/batch_detail_records/speech_to_text/{id}`
```bash
curl -H "Authorization: Bearer $TELNYX_API_KEY" "https://api.telnyx.com/v2/legacy/reporting/batch_detail_records/speech_to_text/550e8400-e29b-41d4-a716-446655440000"
```
Returns: `created_at` (date-time), `download_link` (string), `end_date` (date-time), `id` (string), `record_type` (string), `start_date` (date-time), `status` (enum: PENDING, COMPLETE, FAILED, EXPIRED)
## Delete a Speech to Text batch report request
Deletes a specific Speech to Text batch report request by ID
`DELETE /legacy/reporting/batch_detail_records/speech_to_text/{id}`
```bash
curl \
-X DELETE \
-H "Authorization: Bearer $TELNYX_API_KEY" \
"https://api.telnyx.com/v2/legacy/reporting/batch_detail_records/speech_to_text/550e8400-e29b-41d4-a716-446655440000"
```
Returns: `created_at` (date-time), `download_link` (string), `end_date` (date-time), `id` (string), `record_type` (string), `start_date` (date-time), `status` (enum: PENDING, COMPLETE, FAILED, EXPIRED)
## Get speech to text usage report
Generate and fetch speech to text usage report synchronously. This endpoint will both generate and fetch the speech to text report over a specified time period.
`GET /legacy/reporting/usage_reports/speech_to_text`
```bash
curl -H "Authorization: Bearer $TELNYX_API_KEY" "https://api.telnyx.com/v2/legacy/reporting/usage_reports/speech_to_text?start_date=2020-07-02T00:00:00-06:00&end_date=2020-07-01T00:00:00-06:00"
```
Returns: `data` (object)
## Get speech to text usage report
Generate and fetch speech to text usage report synchronously. This endpoint will both generate and fetch the speech to text report over a specified time period.
`GET /legacy_reporting/usage_reports/speech_to_text`
```bash
curl -H "Authorization: Bearer $TELNYX_API_KEY" "https://api.telnyx.com/v2/legacy_reporting/usage_reports/speech_to_text?start_date=2020-07-02T00:00:00-06:00&end_date=2020-07-01T00:00:00-06:00"
```
Returns: `data` (object)
## Speech to text over WebSocket
Open a WebSocket connection to stream audio and receive transcriptions in real-time. Authentication is provided via the standard `Authorization: Bearer ` header. Supported engines: `Azure`, `Deepgram`, `Google`, `Telnyx`, `xAI`, `Speechmatics`, `Soniox`, `Parakeet`, `Humain`, `Reson8`, `Cohere`.
`GET /speech-to-text/transcription`
```bash
curl -H "Authorization: Bearer $TELNYX_API_KEY" "https://api.telnyx.com/v2/speech-to-text/transcription?transcription_engine=Telnyx&input_format=mp3&sample_rate=16000&language=en-US&interim_results=True&endpointing=500&redact=pci&keyterm=Telnyx&keywords=Telnyx,SIP,WebRTC"
```
## Stream text to speech over WebSocket
Open a WebSocket connection to stream text and receive synthesized audio in real time. Authentication is provided via the standard `Authorization: Bearer ` header. Send JSON frames with text to synthesize; receive JSON frames containing base64-encoded audio chunks.
`GET /text-to-speech/speech`
```bash
curl -H "Authorization: Bearer $TELNYX_API_KEY" "https://api.telnyx.com/v2/text-to-speech/speech"
```
## Generate speech from text
Generate synthesized speech audio from text input. Returns audio in the requested format (binary audio stream, base64-encoded JSON, or an audio URL for later retrieval). Authentication is provided via the standard `Authorization: Bearer ` header.
`POST /text-to-speech/speech`
Optional: `aws` (object), `azure` (object), `disable_cache` (boolean), `elevenlabs` (object), `humain` (object), `language` (string), `minimax` (object), `output_type` (enum: binary_output, base64_output), `provider` (enum: aws, telnyx, azure, elevenlabs, minimax, resemble, xai, humain, soniox), `resemble` (object), `soniox` (object), `telnyx` (object), `text` (string), `text_type` (enum: text, ssml), `voice` (string), `voice_settings` (object), `xai` (object)
```bash
curl \
-X POST \
-H "Authorization: Bearer $TELNYX_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"voice": "string",
"text": "string",
"provider": "aws",
"language": "string",
"text_type": "text",
"output_type": "binary_output",
"disable_cache": false,
"aws": {
"language_code": "string",
"text_type": "text",
"lexicon_names": [
"string"
],
"output_format": "string",
"sample_rate": "string"
},
"telnyx": {
"voice_speed": 1.0,
"response_format": "mp3",
"sampling_rate": 24000,
"volume": 1.0,
"emotion": "neutral"
},
"azure": {
"language_code": "en-US",
"output_format": "audio-24khz-160kbitrate-mono-mp3",
"text_type": "text",
"api_key": "string",
"region": "string",
"deployment_id": "string",
"effect": "string",
"gender": "string"
},
"elevenlabs": {
"language_code": "string",
"api_key": "string"
},
"minimax": {
"speed": 0,
"vol": 0,
"pitch": 0,
"response_format": "string",
"language_boost": "string"
},
"resemble": {
"api_key": "string",
"precision": "string",
"sample_rate": "string",
"format": "string"
},
"xai": {
"voice_id": "eve",
"language": "auto",
"output_format": "mp3",
"sample_rate": 24000
},
"humain": {
"voice_id": "sara-en",
"ttfb_eagerness": 0
},
"soniox": {
"voice_id": "Emma",
"model_id": "tts-rt-v2",
"language": "en",
"speed": 1.0,
"audio_format": "mp3"
}
}' \
"https://api.telnyx.com/v2/text-to-speech/speech"
```
Returns: `base64_audio` (string)
## List available voices
Retrieve a list of available voices from one or all TTS providers. When `provider` is specified, returns voices for that provider only. Otherwise, returns voices from all providers.
`GET /text-to-speech/voices`
```bash
curl -H "Authorization: Bearer $TELNYX_API_KEY" "https://api.telnyx.com/v2/text-to-speech/voices"
```
Returns: `voices` (array[object])
Imported from the listed AgentSkill.sh category. Complete supplied package files and notices are retained. Required external tools and credentials are not installed. No bundled code was executed during import. Individual agent task behavior has not been tested.