telnyx-ai-assistants-c…
AI voice assistants with custom instructions, knowledge bases, and tool integrations.
AI voice assistants with custom instructions, knowledge bases, and tool integrations.
$ npx -y skills add team-telnyx/ai --skill telnyx-ai-assistants-go --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/telnyx-ai-assistants-goContext preview
The summary Claude sees to decide when to auto-load this skill.
AI voice assistants with custom instructions, knowledge bases, and tool integrations.
name: telnyx-ai-assistants-go description: >- AI voice assistants with custom instructions, knowledge bases, and tool integrations. metadata: author: telnyx product: ai-assistants language: go generated_by: telnyx-openapi-pipeline contract: v2
<!-- Auto-generated from Telnyx OpenAPI specs. Do not edit. -->
go get github.com/team-telnyx/telnyx-go
import (
"context"
"fmt"
"os"
"github.com/team-telnyx/telnyx-go"
"github.com/team-telnyx/telnyx-go/option"
)
client := telnyx.NewClient(
option.WithAPIKey(os.Getenv("TELNYX_API_KEY")),
)All examples below assume `client` is already initialized as shown above.
All API calls can fail with network errors, rate limits (429), validation errors (422), or authentication errors (401). Always handle errors in production code:
import "errors"
assistant, err := client.AI.Assistants.New(context.Background(), telnyx.AIAssistantNewParams{
Instructions: "You are a helpful assistant.",
Name: "my-resource",
Model: "openai/gpt-4o",
})
if err != nil {
var apiErr *telnyx.Error
if errors.As(err, &apiErr) {
switch apiErr.StatusCode {
case 422:
fmt.Println("Validation error — check required fields and formats")
case 429:
fmt.Println("Rate limited, retrying...")
default:
fmt.Printf("API error %d: %s\n", apiErr.StatusCode, apiErr.Error())
}
} else {
fmt.Println("Network error — check connectivity and retry")
}
}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).
Do not invent Telnyx parameters, enums, response fields, or webhook fields.
Assistant creation is the entrypoint for any AI assistant integration. Agents need the exact creation method and the top-level fields returned by the SDK.
`client.AI.Assistants.New()` — `POST /ai/assistants`
| Parameter | Type | Required | Description | |-----------|------|----------|-------------| | `Name` | string | Yes | | | `Instructions` | string | Yes | System instructions for the assistant. | | `Tags` | array[string] | No | Tags associated with the assistant. | | `Model` | string | No | ID of the model to use when `external_llm` is not set. | | `Tools` | array[object] | No | Deprecated for new integrations. | | ... | | | +23 optional params in [references/api-details.md](references/api-details.md) |
assistant, err := client.AI.Assistants.New(context.Background(), telnyx.AIAssistantNewParams{
Instructions: "You are a helpful assistant.",
Name: "my-resource",
Model: "openai/gpt-4o",
})
if err != nil {
log.Fatal(err)
}
fmt.Printf("%+v\n", assistant.ID)Primary response fields:
Chat is the primary runtime path. Agents need the exact assistant method and the response content field.
`client.AI.Assistants.Chat()` — `POST /ai/assistants/{assistant_id}/chat`
| Parameter | Type | Required | Description | |-----------|------|----------|-------------| | `Content` | string | Yes | The message content sent by the client to the assistant | | `ConversationId` | string (UUID) | Yes | A unique identifier for the conversation thread, used to mai... | | `AssistantId` | string (UUID) | Yes | Unique identifier of the assistant. | | `Name` | string | No | The optional display name of the user sending the message |
response, err := client.AI.Assistants.Chat(
context.Background(),
"assistant_id",
telnyx.AIAssistantChatParams{
Content: "Tell me a joke about cats",
ConversationID: "42b20469-1215-4a9a-8964-c36f66b406f4",
},
)
if err != nil {
log.Fatal(err)
}
fmt.Printf("%+v\n", response.Content)Primary response fields:
Test creation is the main validation path for production assistant behavior before deployment.
`client.AI.Assistants.Tests.New()` — `POST /ai/assistants/tests`
| Parameter | Type | Required | Description | |-----------|------|----------|-------------| | `Name` | string | Yes | A descriptive name for the assistant test. | | `Destination` | string | Yes | The target destination for the test conversation. | | `Instructions` | string | Yes | Detailed instructions that define the test scenario and what... | | `Rubric` | array[object] | Yes | Evaluation criteria used to assess the assistant's performan... | | `Description` | string | No | Optional detailed description of what this test evaluates an... | | `TelnyxConversationChannel` | object | No | The communication channel through which the test will be con... | | `MaxDurationSeconds` | integer | No | Maximum duration in seconds that the test conversation shoul... | | ... | | | +1 optional params in [references/api-details.md](references/api-details.md) |
assistantTest, err := client.AI.Assistants.Tests.New(context.Background(), telnyx.AIAssistantTestNewParams{
Destination:This repo is the one-stop shop for AI Agents and AI-first developers building with Telnyx — everything an agent needs to build production-grade applications and manage its account, from signup to funding.
Repo: team-telnyx/ai
AI voice assistants with custom instructions, knowledge bases, and tool integrations.
AI voice assistants with custom instructions, knowledge bases, and tool integrations.
AI voice assistants with custom instructions, knowledge bases, and tool integrations.
AI voice assistants with custom instructions, knowledge bases, and tool integrations.
AI voice assistants with custom instructions, knowledge bases, and tool integrations.
Access Telnyx LLM inference APIs, embeddings, and AI analytics for call insights and summaries. This skill provides REST API (curl) examples.