telnyx-ai-assistants-java

AI voice assistants with custom instructions, knowledge bases, and tool integrations.

166 stars

Best use case

telnyx-ai-assistants-java is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

AI voice assistants with custom instructions, knowledge bases, and tool integrations.

Teams using telnyx-ai-assistants-java should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/telnyx-ai-assistants-java/SKILL.md --create-dirs "https://raw.githubusercontent.com/team-telnyx/ai/main/providers/claude/plugin/skills/telnyx-ai-assistants-java/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/telnyx-ai-assistants-java/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How telnyx-ai-assistants-java Compares

Feature / Agenttelnyx-ai-assistants-javaStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

AI voice assistants with custom instructions, knowledge bases, and tool integrations.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

<!-- Auto-generated from Telnyx OpenAPI specs. Do not edit. -->

# Telnyx AI Assistants - Java

## Installation

```text
<!-- Maven -->
<dependency>
    <groupId>com.telnyx.sdk</groupId>
    <artifactId>telnyx</artifactId>
    <version>6.36.0</version>
</dependency>

// Gradle
implementation("com.telnyx.sdk:telnyx:6.36.0")
```

## Setup

```java
import com.telnyx.sdk.client.TelnyxClient;
import com.telnyx.sdk.client.okhttp.TelnyxOkHttpClient;

TelnyxClient client = TelnyxOkHttpClient.fromEnv();
```

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:

```java
import com.telnyx.sdk.models.ai.assistants.AssistantCreateParams;
import com.telnyx.sdk.models.ai.assistants.InferenceEmbedding;
AssistantCreateParams params = AssistantCreateParams.builder()
    .instructions("You are a helpful assistant.")
    .model("openai/gpt-4o")
    .name("my-resource")
    .build();
InferenceEmbedding assistant = client.ai().assistants().create(params);
```

Common error codes: `401` invalid API key, `403` insufficient permissions,
`404` resource not found, `422` validation error (check field formats),
`429` rate limited (retry with exponential backoff).

## Important Notes

- **Phone numbers** must be in E.164 format (e.g., `+13125550001`). Include the `+` prefix and country code. No spaces, dashes, or parentheses.
- **Pagination:** List methods return a page. Use `.autoPager()` for automatic iteration: `for (var item : page.autoPager()) { ... }`. For manual control, use `.hasNextPage()` and `.nextPage()`.

## Reference Use Rules

Do not invent Telnyx parameters, enums, response fields, or webhook fields.

- If the parameter, enum, or response field you need is not shown inline in this skill, read [references/api-details.md](references/api-details.md) before writing code.
- Before using any operation in `## Additional Operations`, read [the optional-parameters section](references/api-details.md#optional-parameters) and [the response-schemas section](references/api-details.md#response-schemas).

## Core Tasks

### Create an assistant

Assistant creation is the entrypoint for any AI assistant integration. Agents need the exact creation method and the top-level fields returned by the SDK.

`client.ai().assistants().create()` — `POST /ai/assistants`

| Parameter | Type | Required | Description |
|-----------|------|----------|-------------|
| `name` | string | Yes |  |
| `model` | string | Yes | ID of the model to use. |
| `instructions` | string | Yes | System instructions for the assistant. |
| `tools` | array[object] | No | The tools that the assistant can use. |
| `toolIds` | array[string] | No |  |
| `description` | string | No |  |
| ... | | | +12 optional params in [references/api-details.md](references/api-details.md) |

```java
import com.telnyx.sdk.models.ai.assistants.AssistantCreateParams;
import com.telnyx.sdk.models.ai.assistants.InferenceEmbedding;

AssistantCreateParams params = AssistantCreateParams.builder()
    .instructions("You are a helpful assistant.")
    .model("openai/gpt-4o")
    .name("my-resource")
    .build();
InferenceEmbedding assistant = client.ai().assistants().create(params);
```

Primary response fields:
- `assistant.id`
- `assistant.name`
- `assistant.model`
- `assistant.instructions`
- `assistant.createdAt`
- `assistant.description`

### Chat with an assistant

Chat is the primary runtime path. Agents need the exact assistant method and the response content field.

`client.ai().assistants().chat()` — `POST /ai/assistants/{assistant_id}/chat`

| Parameter | Type | Required | Description |
|-----------|------|----------|-------------|
| `content` | string | Yes | The message content sent by the client to the assistant |
| `conversationId` | string (UUID) | Yes | A unique identifier for the conversation thread, used to mai... |
| `assistantId` | string (UUID) | Yes |  |
| `name` | string | No | The optional display name of the user sending the message |

```java
import com.telnyx.sdk.models.ai.assistants.AssistantChatParams;
import com.telnyx.sdk.models.ai.assistants.AssistantChatResponse;

AssistantChatParams params = AssistantChatParams.builder()
    .assistantId("550e8400-e29b-41d4-a716-446655440000")
    .content("Tell me a joke about cats")
    .conversationId("42b20469-1215-4a9a-8964-c36f66b406f4")
    .build();
AssistantChatResponse response = client.ai().assistants().chat(params);
```

Primary response fields:
- `response.content`

### Create an assistant test

Test creation is the main validation path for production assistant behavior before deployment.

`client.ai().assistants().tests().create()` — `POST /ai/assistants/tests`

| Parameter | Type | Required | Description |
|-----------|------|----------|-------------|
| `name` | string | Yes | A descriptive name for the assistant test. |
| `destination` | string | Yes | The target destination for the test conversation. |
| `instructions` | string | Yes | Detailed instructions that define the test scenario and what... |
| `rubric` | array[object] | Yes | Evaluation criteria used to assess the assistant's performan... |
| `description` | string | No | Optional detailed description of what this test evaluates an... |
| `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) |

```java
import com.telnyx.sdk.models.ai.assistants.tests.AssistantTest;
import com.telnyx.sdk.models.ai.assistants.tests.TestCreateParams;

TestCreateParams params = TestCreateParams.builder()
    .destination("+15551234567")
    .instructions("Act as a frustrated customer who received a damaged product. Ask for a refund and escalate if not satisfied with the initial response.")
    .name("Customer Support Bot Test")
    .addRubric(TestCreateParams.Rubric.builder()
        .criteria("Assistant responds within 30 seconds")
        .name("Response Time")
        .build())
    .addRubric(TestCreateParams.Rubric.builder()
        .criteria("Provides correct product information")
        .name("Accuracy")
        .build())
    .build();
AssistantTest assistantTest = client.ai().assistants().tests().create(params);
```

Primary response fields:
- `assistantTest.testId`
- `assistantTest.name`
- `assistantTest.destination`
- `assistantTest.createdAt`
- `assistantTest.instructions`
- `assistantTest.description`

---

## Important Supporting Operations

Use these when the core tasks above are close to your flow, but you need a common variation or follow-up step.

### Get an assistant

Fetch the current state before updating, deleting, or making control-flow decisions.

`client.ai().assistants().retrieve()` — `GET /ai/assistants/{assistant_id}`

| Parameter | Type | Required | Description |
|-----------|------|----------|-------------|
| `assistantId` | string (UUID) | Yes |  |
| `callControlId` | string (UUID) | No |  |
| `fetchDynamicVariablesFromWebhook` | boolean | No |  |
| `from` | string (E.164) | No |  |
| ... | | | +1 optional params in [references/api-details.md](references/api-details.md) |

```java
import com.telnyx.sdk.models.ai.assistants.AssistantRetrieveParams;
import com.telnyx.sdk.models.ai.assistants.InferenceEmbedding;

InferenceEmbedding assistant = client.ai().assistants().retrieve("550e8400-e29b-41d4-a716-446655440000");
```

Primary response fields:
- `assistant.id`
- `assistant.name`
- `assistant.createdAt`
- `assistant.description`
- `assistant.dynamicVariables`
- `assistant.dynamicVariablesWebhookUrl`

### Update an assistant

Create or provision an additional resource when the core tasks do not cover this flow.

`client.ai().assistants().update()` — `POST /ai/assistants/{assistant_id}`

| Parameter | Type | Required | Description |
|-----------|------|----------|-------------|
| `assistantId` | string (UUID) | Yes |  |
| `name` | string | No |  |
| `model` | string | No | ID of the model to use. |
| `instructions` | string | No | System instructions for the assistant. |
| ... | | | +16 optional params in [references/api-details.md](references/api-details.md) |

```java
import com.telnyx.sdk.models.ai.assistants.AssistantUpdateParams;
import com.telnyx.sdk.models.ai.assistants.InferenceEmbedding;

InferenceEmbedding assistant = client.ai().assistants().update("550e8400-e29b-41d4-a716-446655440000");
```

Primary response fields:
- `assistant.id`
- `assistant.name`
- `assistant.createdAt`
- `assistant.description`
- `assistant.dynamicVariables`
- `assistant.dynamicVariablesWebhookUrl`

### List assistants

Inspect available resources or choose an existing resource before mutating it.

`client.ai().assistants().list()` — `GET /ai/assistants`

```java
import com.telnyx.sdk.models.ai.assistants.AssistantListParams;
import com.telnyx.sdk.models.ai.assistants.AssistantsList;

AssistantsList assistantsList = client.ai().assistants().list();
```

Response wrapper:
- items: `assistantsList.data`

Primary item fields:
- `id`
- `name`
- `createdAt`
- `description`
- `dynamicVariables`
- `dynamicVariablesWebhookUrl`

### Import assistants from external provider

Import existing assistants from an external provider instead of creating from scratch.

`client.ai().assistants().imports()` — `POST /ai/assistants/import`

| Parameter | Type | Required | Description |
|-----------|------|----------|-------------|
| `provider` | enum (elevenlabs, vapi, retell) | Yes | The external provider to import assistants from. |
| `apiKeyRef` | string | Yes | Integration secret pointer that refers to the API key for th... |
| `importIds` | array[string] | No | Optional list of assistant IDs to import from the external p... |

```java
import com.telnyx.sdk.models.ai.assistants.AssistantImportsParams;
import com.telnyx.sdk.models.ai.assistants.AssistantsList;

AssistantImportsParams params = AssistantImportsParams.builder()
    .apiKeyRef("my-openai-key")
    .provider(AssistantImportsParams.Provider.ELEVENLABS)
    .build();
AssistantsList assistantsList = client.ai().assistants().imports(params);
```

Response wrapper:
- items: `assistantsList.data`

Primary item fields:
- `id`
- `name`
- `createdAt`
- `description`
- `dynamicVariables`
- `dynamicVariablesWebhookUrl`

### Get All Tags

Inspect available resources or choose an existing resource before mutating it.

`client.ai().assistants().tags().list()` — `GET /ai/assistants/tags`

```java
import com.telnyx.sdk.models.ai.assistants.tags.TagListParams;
import com.telnyx.sdk.models.ai.assistants.tags.TagListResponse;

TagListResponse tags = client.ai().assistants().tags().list();
```

Primary response fields:
- `tags.tags`

### List assistant tests with pagination

Inspect available resources or choose an existing resource before mutating it.

`client.ai().assistants().tests().list()` — `GET /ai/assistants/tests`

| Parameter | Type | Required | Description |
|-----------|------|----------|-------------|
| `testSuite` | string | No | Filter tests by test suite name |
| `telnyxConversationChannel` | string | No | Filter tests by communication channel (e.g., 'web_chat', 'sm... |
| `destination` | string | No | Filter tests by destination (phone number, webhook URL, etc.... |
| ... | | | +1 optional params in [references/api-details.md](references/api-details.md) |

```java
import com.telnyx.sdk.models.ai.assistants.tests.TestListPage;
import com.telnyx.sdk.models.ai.assistants.tests.TestListParams;

TestListPage page = client.ai().assistants().tests().list();
```

Response wrapper:
- items: `page.data`
- pagination: `page.meta`

Primary item fields:
- `name`
- `createdAt`
- `description`
- `destination`
- `instructions`
- `maxDurationSeconds`

### Get all test suite names

Inspect available resources or choose an existing resource before mutating it.

`client.ai().assistants().tests().testSuites().list()` — `GET /ai/assistants/tests/test-suites`

```java
import com.telnyx.sdk.models.ai.assistants.tests.testsuites.TestSuiteListParams;
import com.telnyx.sdk.models.ai.assistants.tests.testsuites.TestSuiteListResponse;

TestSuiteListResponse testSuites = client.ai().assistants().tests().testSuites().list();
```

Response wrapper:
- items: `testSuites.data`

Primary item fields:
- `data`

### Get test suite run history

Fetch the current state before updating, deleting, or making control-flow decisions.

`client.ai().assistants().tests().testSuites().runs().list()` — `GET /ai/assistants/tests/test-suites/{suite_name}/runs`

| Parameter | Type | Required | Description |
|-----------|------|----------|-------------|
| `suiteName` | string | Yes |  |
| `testSuiteRunId` | string (UUID) | No | Filter runs by specific suite execution batch ID |
| `status` | string | No | Filter runs by execution status (pending, running, completed... |
| `page` | object | No | Consolidated page parameter (deepObject style). |

```java
import com.telnyx.sdk.models.ai.assistants.tests.testsuites.runs.RunListPage;
import com.telnyx.sdk.models.ai.assistants.tests.testsuites.runs.RunListParams;

RunListPage page = client.ai().assistants().tests().testSuites().runs().list("suite_name");
```

Response wrapper:
- items: `page.data`
- pagination: `page.meta`

Primary item fields:
- `status`
- `createdAt`
- `updatedAt`
- `completedAt`
- `conversationId`
- `conversationInsightsId`

---

## Additional Operations

Use the core tasks above first. The operations below are indexed here with exact SDK methods and required params; use [references/api-details.md](references/api-details.md) for full optional params, response schemas, and lower-frequency webhook payloads.
Before using any operation below, read [the optional-parameters section](references/api-details.md#optional-parameters) and [the response-schemas section](references/api-details.md#response-schemas) so you do not guess missing fields.

| Operation | SDK method | Endpoint | Use when | Required params |
|-----------|------------|----------|----------|-----------------|
| Trigger test suite execution | `client.ai().assistants().tests().testSuites().runs().trigger()` | `POST /ai/assistants/tests/test-suites/{suite_name}/runs` | Trigger a follow-up action in an existing workflow rather than creating a new top-level resource. | `suiteName` |
| Get assistant test by ID | `client.ai().assistants().tests().retrieve()` | `GET /ai/assistants/tests/{test_id}` | Fetch the current state before updating, deleting, or making control-flow decisions. | `testId` |
| Update an assistant test | `client.ai().assistants().tests().update()` | `PUT /ai/assistants/tests/{test_id}` | Modify an existing resource without recreating it. | `testId` |
| Delete an assistant test | `client.ai().assistants().tests().delete()` | `DELETE /ai/assistants/tests/{test_id}` | Remove, detach, or clean up an existing resource. | `testId` |
| Get test run history for a specific test | `client.ai().assistants().tests().runs().list()` | `GET /ai/assistants/tests/{test_id}/runs` | Fetch the current state before updating, deleting, or making control-flow decisions. | `testId` |
| Trigger a manual test run | `client.ai().assistants().tests().runs().trigger()` | `POST /ai/assistants/tests/{test_id}/runs` | Trigger a follow-up action in an existing workflow rather than creating a new top-level resource. | `testId` |
| Get specific test run details | `client.ai().assistants().tests().runs().retrieve()` | `GET /ai/assistants/tests/{test_id}/runs/{run_id}` | Fetch the current state before updating, deleting, or making control-flow decisions. | `testId`, `runId` |
| Delete an assistant | `client.ai().assistants().delete()` | `DELETE /ai/assistants/{assistant_id}` | Remove, detach, or clean up an existing resource. | `assistantId` |
| Get Canary Deploy | `client.ai().assistants().canaryDeploys().retrieve()` | `GET /ai/assistants/{assistant_id}/canary-deploys` | Fetch the current state before updating, deleting, or making control-flow decisions. | `assistantId` |
| Create Canary Deploy | `client.ai().assistants().canaryDeploys().create()` | `POST /ai/assistants/{assistant_id}/canary-deploys` | Create or provision an additional resource when the core tasks do not cover this flow. | `versions`, `assistantId` |
| Update Canary Deploy | `client.ai().assistants().canaryDeploys().update()` | `PUT /ai/assistants/{assistant_id}/canary-deploys` | Modify an existing resource without recreating it. | `versions`, `assistantId` |
| Delete Canary Deploy | `client.ai().assistants().canaryDeploys().delete()` | `DELETE /ai/assistants/{assistant_id}/canary-deploys` | Remove, detach, or clean up an existing resource. | `assistantId` |
| Assistant Sms Chat | `client.ai().assistants().sendSms()` | `POST /ai/assistants/{assistant_id}/chat/sms` | Run assistant chat over SMS instead of direct API chat. | `from`, `to`, `assistantId` |
| Clone Assistant | `client.ai().assistants().clone()` | `POST /ai/assistants/{assistant_id}/clone` | Trigger a follow-up action in an existing workflow rather than creating a new top-level resource. | `assistantId` |
| List scheduled events | `client.ai().assistants().scheduledEvents().list()` | `GET /ai/assistants/{assistant_id}/scheduled_events` | Fetch the current state before updating, deleting, or making control-flow decisions. | `assistantId` |
| Create a scheduled event | `client.ai().assistants().scheduledEvents().create()` | `POST /ai/assistants/{assistant_id}/scheduled_events` | Create or provision an additional resource when the core tasks do not cover this flow. | `telnyxConversationChannel`, `telnyxEndUserTarget`, `telnyxAgentTarget`, `scheduledAtFixedDatetime`, +1 more |
| Get a scheduled event | `client.ai().assistants().scheduledEvents().retrieve()` | `GET /ai/assistants/{assistant_id}/scheduled_events/{event_id}` | Fetch the current state before updating, deleting, or making control-flow decisions. | `assistantId`, `eventId` |
| Delete a scheduled event | `client.ai().assistants().scheduledEvents().delete()` | `DELETE /ai/assistants/{assistant_id}/scheduled_events/{event_id}` | Remove, detach, or clean up an existing resource. | `assistantId`, `eventId` |
| Add Assistant Tag | `client.ai().assistants().tags().add()` | `POST /ai/assistants/{assistant_id}/tags` | Create or provision an additional resource when the core tasks do not cover this flow. | `tag`, `assistantId` |
| Remove Assistant Tag | `client.ai().assistants().tags().remove()` | `DELETE /ai/assistants/{assistant_id}/tags/{tag}` | Remove, detach, or clean up an existing resource. | `assistantId`, `tag` |
| Get assistant texml | `client.ai().assistants().getTexml()` | `GET /ai/assistants/{assistant_id}/texml` | Fetch the current state before updating, deleting, or making control-flow decisions. | `assistantId` |
| Add Assistant Tool | `client.ai().assistants().tools().add()` | `PUT /ai/assistants/{assistant_id}/tools/{tool_id}` | Modify an existing resource without recreating it. | `assistantId`, `toolId` |
| Remove Assistant Tool | `client.ai().assistants().tools().remove()` | `DELETE /ai/assistants/{assistant_id}/tools/{tool_id}` | Remove, detach, or clean up an existing resource. | `assistantId`, `toolId` |
| Test Assistant Tool | `client.ai().assistants().tools().test()` | `POST /ai/assistants/{assistant_id}/tools/{tool_id}/test` | Trigger a follow-up action in an existing workflow rather than creating a new top-level resource. | `assistantId`, `toolId` |
| Get all versions of an assistant | `client.ai().assistants().versions().list()` | `GET /ai/assistants/{assistant_id}/versions` | Fetch the current state before updating, deleting, or making control-flow decisions. | `assistantId` |
| Get a specific assistant version | `client.ai().assistants().versions().retrieve()` | `GET /ai/assistants/{assistant_id}/versions/{version_id}` | Fetch the current state before updating, deleting, or making control-flow decisions. | `assistantId`, `versionId` |
| Update a specific assistant version | `client.ai().assistants().versions().update()` | `POST /ai/assistants/{assistant_id}/versions/{version_id}` | Create or provision an additional resource when the core tasks do not cover this flow. | `assistantId`, `versionId` |
| Delete a specific assistant version | `client.ai().assistants().versions().delete()` | `DELETE /ai/assistants/{assistant_id}/versions/{version_id}` | Remove, detach, or clean up an existing resource. | `assistantId`, `versionId` |
| Promote an assistant version to main | `client.ai().assistants().versions().promote()` | `POST /ai/assistants/{assistant_id}/versions/{version_id}/promote` | Trigger a follow-up action in an existing workflow rather than creating a new top-level resource. | `assistantId`, `versionId` |
| List MCP Servers | `client.ai().mcpServers().list()` | `GET /ai/mcp_servers` | Inspect available resources or choose an existing resource before mutating it. | None |
| Create MCP Server | `client.ai().mcpServers().create()` | `POST /ai/mcp_servers` | Create or provision an additional resource when the core tasks do not cover this flow. | `name`, `type`, `url` |
| Get MCP Server | `client.ai().mcpServers().retrieve()` | `GET /ai/mcp_servers/{mcp_server_id}` | Fetch the current state before updating, deleting, or making control-flow decisions. | `mcpServerId` |
| Update MCP Server | `client.ai().mcpServers().update()` | `PUT /ai/mcp_servers/{mcp_server_id}` | Modify an existing resource without recreating it. | `mcpServerId` |
| Delete MCP Server | `client.ai().mcpServers().delete()` | `DELETE /ai/mcp_servers/{mcp_server_id}` | Remove, detach, or clean up an existing resource. | `mcpServerId` |
| List Tools | `client.ai().tools().list()` | `GET /ai/tools` | Inspect available resources or choose an existing resource before mutating it. | None |
| Create Tool | `client.ai().tools().create()` | `POST /ai/tools` | Create or provision an additional resource when the core tasks do not cover this flow. | `type`, `displayName` |
| Get Tool | `client.ai().tools().retrieve()` | `GET /ai/tools/{tool_id}` | Fetch the current state before updating, deleting, or making control-flow decisions. | `toolId` |
| Update Tool | `client.ai().tools().update()` | `PATCH /ai/tools/{tool_id}` | Modify an existing resource without recreating it. | `toolId` |
| Delete Tool | `client.ai().tools().delete()` | `DELETE /ai/tools/{tool_id}` | Remove, detach, or clean up an existing resource. | `toolId` |

---

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

Related Skills

telnyx-whatsapp-ruby

166
from team-telnyx/ai

Send WhatsApp messages, manage templates, WABAs, and phone numbers via the Telnyx WhatsApp Business API.

telnyx-whatsapp-python

166
from team-telnyx/ai

Send WhatsApp messages, manage templates, WABAs, and phone numbers via the Telnyx WhatsApp Business API.

telnyx-whatsapp-javascript

166
from team-telnyx/ai

Send WhatsApp messages, manage templates, WABAs, and phone numbers via the Telnyx WhatsApp Business API.

telnyx-whatsapp-java

166
from team-telnyx/ai

Send WhatsApp messages, manage templates, WABAs, and phone numbers via the Telnyx WhatsApp Business API.

telnyx-whatsapp-go

166
from team-telnyx/ai

Send WhatsApp messages, manage templates, WABAs, and phone numbers via the Telnyx WhatsApp Business API.

telnyx-whatsapp-curl

166
from team-telnyx/ai

Send WhatsApp messages, manage templates, WABAs, and phone numbers via the Telnyx WhatsApp Business API.

telnyx-webrtc-ruby

166
from team-telnyx/ai

Manage WebRTC credentials and mobile push notification settings. Use when building browser-based or mobile softphone applications. This skill provides Ruby SDK examples.

telnyx-webrtc-python

166
from team-telnyx/ai

Manage WebRTC credentials and mobile push notification settings. Use when building browser-based or mobile softphone applications. This skill provides Python SDK examples.

telnyx-webrtc-javascript

166
from team-telnyx/ai

Manage WebRTC credentials and mobile push notification settings. Use when building browser-based or mobile softphone applications. This skill provides JavaScript SDK examples.

telnyx-webrtc-java

166
from team-telnyx/ai

Manage WebRTC credentials and mobile push notification settings. Use when building browser-based or mobile softphone applications. This skill provides Java SDK examples.

telnyx-webrtc-go

166
from team-telnyx/ai

Manage WebRTC credentials and mobile push notification settings. Use when building browser-based or mobile softphone applications. This skill provides Go SDK examples.

telnyx-webrtc-curl

166
from team-telnyx/ai

Manage WebRTC credentials and mobile push notification settings. Use when building browser-based or mobile softphone applications. This skill provides REST API (curl) examples.