Test VoIP push notifications for Telnyx WebRTC iOS (APNs) and Android (FCM) apps. Use when debugging push notification delivery, validating certificate/credential setup, or testing that a device receives VoIP pushes correctly.
中文简介正在准备中。当前显示原文说明。
Create and manage Telnyx Missions — automated workflows, tasks, and sub-resources for AI-driven telecom operations. This skill provides JavaScript SDK examples.
中文简介正在准备中。当前显示原文说明。
实测评分 未实测
查看安装方法安装前可以查看交给 AI 代理的指令内容。
npm install telnyx@6.74.2
import Telnyx from 'telnyx';
const client = new Telnyx({
apiKey: process.env['TELNYX_API_KEY'], // This is the default and can be omitted
publicKey: process.env['TELNYX_PUBLIC_KEY'], // Required for client.webhooks.unwrap() (webhook verification)
});
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:
try {
const result = await client.messages.send({ to: '+13125550001', from: '+13125550002', text: 'Hello' });
} catch (err) {
if (err instanceof Telnyx.APIConnectionError) {
console.error('Network error — check connectivity and retry');
} else if (err instanceof Telnyx.RateLimitError) {
// 429: rate limited — wait, then retry the request (bounded exponential backoff)
const retryAfter = err.headers?.['retry-after'] || 1;
await new Promise(r => setTimeout(r, retryAfter * 1000));
// ...retry the call here (give up after a few attempts)
} else if (err instanceof Telnyx.APIError) {
console.error(`API error ${err.status}: ${err.message}`);
if (err.status === 422) {
console.error('Validation error — check required fields and formats');
}
}
throw err; // Re-throw: a failed request must never look like success to the caller
}
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).
for await (const item of result) { ... } to iterate through all pages automatically.Returns a paginated list of all mission definitions in your organization. Missions describe a goal and the tools, knowledge bases, and MCP servers agents may use to accomplish it.
GET /ai/missions
// Automatically fetches more pages as needed.
for await (const missionData of client.ai.missions.list()) {
console.log(missionData.mission_id);
}
Returns: created_at (date-time), description (string), execution_mode (enum: external, managed), instructions (string), metadata (object), mission_id (uuid), model (string), name (string), updated_at (date-time)
Creates a new mission definition from the provided configuration and returns the created mission. Execute the mission by starting runs against it.
POST /ai/missions — Required: name
Optional: description (string), execution_mode (enum: external, managed), instructions (string), metadata (object), model (string)
const mission = await client.ai.missions.create({ name: 'my-resource' });
console.log(mission.data);
Returns: created_at (date-time), description (string), execution_mode (enum: external, managed), instructions (string), metadata (object), mission_id (uuid), model (string), name (string), updated_at (date-time)
Returns a paginated list of recent events across every mission in your organization, optionally filtered by event type. Useful for building activity feeds or monitoring dashboards.
GET /ai/missions/events
// Automatically fetches more pages as needed.
for await (const eventData of client.ai.missions.listEvents()) {
console.log(eventData.event_id);
}
Returns: agent_id (string), event_id (string), idempotency_key (string), payload (object), run_id (string), step_id (string), summary (string), timestamp (date-time), type (enum: status_change, step_started, step_completed, step_failed, tool_call, tool_result, message, error, custom)
Returns a paginated list of recent runs across every mission in your organization, optionally filtered by run status. Useful for monitoring overall mission activity without querying each mission individually.
GET /ai/missions/runs
// Automatically fetches more pages as needed.
for await (const missionRunData of client.ai.missions.runs.listRuns()) {
console.log(missionRunData.mission_id);
}
Returns: error (string), finished_at (date-time), input (object), metadata (object), mission_id (uuid), result_payload (object), result_summary (string), run_id (uuid), started_at (date-time), status (enum: pending, running, paused, succeeded, failed, cancelled), updated_at (date-time)
Get a mission by ID (includes tools, knowledge_bases, mcp_servers)
GET /ai/missions/{mission_id}
const mission = await client.ai.missions.retrieve('182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e');
console.log(mission.data);
Returns: created_at (date-time), description (string), execution_mode (enum: external, managed), instructions (string), metadata (object), mission_id (uuid), model (string), name (string), updated_at (date-time)
Replaces the specified mission's definition with the provided configuration and returns the updated mission.
PUT /ai/missions/{mission_id}
Optional: description (string), execution_mode (enum: external, managed), instructions (string), metadata (object), model (string), name (string)
const response = await client.ai.missions.updateMission('182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e');
console.log(response.data);
Returns: created_at (date-time), description (string), execution_mode (enum: external, managed), instructions (string), metadata (object), mission_id (uuid), model (string), name (string), updated_at (date-time)
Permanently deletes the specified mission definition and returns no content on success.
DELETE /ai/missions/{mission_id}
await client.ai.missions.deleteMission('182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e');
Creates a copy of the specified mission as a new mission definition, so you can iterate on its configuration without modifying the original.
POST /ai/missions/{mission_id}/clone
const response = await client.ai.missions.cloneMission('mission_id');
console.log(response);
Returns the knowledge bases attached to the specified mission. Knowledge bases provide reference content agents can draw on during runs.
GET /ai/missions/{mission_id}/knowledge-bases
const response = await client.ai.missions.knowledgeBases.listKnowledgeBases('mission_id');
console.log(response);
Create a new knowledge base for a mission
POST /ai/missions/{mission_id}/knowledge-bases
const response = await client.ai.missions.knowledgeBases.createKnowledgeBase('mission_id');
console.log(response);
Returns the details of a single knowledge base attached to the specified mission.
GET /ai/missions/{mission_id}/knowledge-bases/{knowledge_base_id}
const response = await client.ai.missions.knowledgeBases.getKnowledgeBase('knowledge_base_id', {
mission_id: '550e8400-e29b-41d4-a716-446655440000',
});
console.log(response);
Replaces the definition of the specified knowledge base on this mission.
PUT /ai/missions/{mission_id}/knowledge-bases/{knowledge_base_id}
const response = await client.ai.missions.knowledgeBases.updateKnowledgeBase('knowledge_base_id', {
mission_id: '550e8400-e29b-41d4-a716-446655440000',
});
console.log(response);
Detaches the specified knowledge base from the mission so its content is no longer available to agents in subsequent runs.
DELETE /ai/missions/{mission_id}/knowledge-bases/{knowledge_base_id}
await client.ai.missions.knowledgeBases.deleteKnowledgeBase('knowledge_base_id', {
mission_id: '550e8400-e29b-41d4-a716-446655440000',
});
Returns the MCP servers configured on the specified mission. MCP servers expose external tools and data sources agents can use during runs.
GET /ai/missions/{mission_id}/mcp-servers
const response = await client.ai.missions.mcpServers.listMcpServers('mission_id');
console.log(response);
Adds an MCP server to the specified mission, making the server's tools available to agents during runs of this mission.
POST /ai/missions/{mission_id}/mcp-servers
const response = await client.ai.missions.mcpServers.createMcpServer('mission_id');
console.log(response);
Returns the configuration of a single MCP server attached to the specified mission.
GET /ai/missions/{mission_id}/mcp-servers/{mcp_server_id}
const response = await client.ai.missions.mcpServers.getMcpServer('mcp_server_id', {
mission_id: '550e8400-e29b-41d4-a716-446655440000',
});
console.log(response);
Replaces the configuration of the specified MCP server on this mission.
PUT /ai/missions/{mission_id}/mcp-servers/{mcp_server_id}
const response = await client.ai.missions.mcpServers.updateMcpServer('mcp_server_id', {
mission_id: '550e8400-e29b-41d4-a716-446655440000',
});
console.log(response);
Removes the specified MCP server from the mission, revoking agent access to its tools in subsequent runs.
DELETE /ai/missions/{mission_id}/mcp-servers/{mcp_server_id}
await client.ai.missions.mcpServers.deleteMcpServer('mcp_server_id', { mission_id: '550e8400-e29b-41d4-a716-446655440000' });
Returns a paginated list of runs for the specified mission, optionally filtered by run status, so you can track the mission's execution history over time.
GET /ai/missions/{mission_id}/runs
// Automatically fetches more pages as needed.
for await (const missionRunData of client.ai.missions.runs.list(
'182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e',
)) {
console.log(missionRunData.mission_id);
}
Returns: error (string), finished_at (date-time), input (object), metadata (object), mission_id (uuid), result_payload (object), result_summary (string), run_id (uuid), started_at (date-time), status (enum: pending, running, paused, succeeded, failed, cancelled), updated_at (date-time)
Starts a new run of the specified mission and returns the created run object. Track its progress through the run detail, plan, and events endpoints.
POST /ai/missions/{mission_id}/runs
Optional: input (object), metadata (object)
const run = await client.ai.missions.runs.create('182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e');
console.log(run.data);
Returns: error (string), finished_at (date-time), input (object), metadata (object), mission_id (uuid), result_payload (object), result_summary (string), run_id (uuid), started_at (date-time), status (enum: pending, running, paused, succeeded, failed, cancelled), updated_at (date-time)
Returns the full details of a single run, including its current status. Use this to poll an in-flight run or inspect the outcome of a completed one.
GET /ai/missions/{mission_id}/runs/{run_id}
const run = await client.ai.missions.runs.retrieve('182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e', {
mission_id: '182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e',
});
console.log(run.data);
Returns: error (string), finished_at (date-time), input (object), metadata (object), mission_id (uuid), result_payload (object), result_summary (string), run_id (uuid), started_at (date-time), status (enum: pending, running, paused, succeeded, failed, cancelled), updated_at (date-time)
Updates a run's status and/or result and returns the updated run object. Typically used by executing agents to report progress or record the final outcome.
PATCH /ai/missions/{mission_id}/runs/{run_id}
Optional: error (string), metadata (object), result_payload (object), result_summary (string), status (enum: pending, running, paused, succeeded, failed, cancelled)
const run = await client.ai.missions.runs.update('182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e', {
mission_id: '182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e',
});
console.log(run.data);
Returns: error (string), finished_at (date-time), input (object), metadata (object), mission_id (uuid), result_payload (object), result_summary (string), run_id (uuid), started_at (date-time), status (enum: pending, running, paused, succeeded, failed, cancelled), updated_at (date-time)
Cancels a running or paused run and returns the updated run object. A cancelled run stops executing; start a new run to execute the mission again.
POST /ai/missions/{mission_id}/runs/{run_id}/cancel
const response = await client.ai.missions.runs.cancelRun('182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e', {
mission_id: '182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e',
});
console.log(response.data);
Returns: error (string), finished_at (date-time), input (object), metadata (object), mission_id (uuid), result_payload (object), result_summary (string), run_id (uuid), started_at (date-time), status (enum: pending, running, paused, succeeded, failed, cancelled), updated_at (date-time)
Returns a paginated list of events logged for the specified run, filterable by event type, plan step, and agent, so you can reconstruct exactly what happened during execution.
GET /ai/missions/{mission_id}/runs/{run_id}/events
// Automatically fetches more pages as needed.
for await (const eventData of client.ai.missions.runs.events.list(
'182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e',
{ mission_id: '182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e' },
)) {
console.log(eventData.event_id);
}
Returns: agent_id (string), event_id (string), idempotency_key (string), payload (object), run_id (string), step_id (string), summary (string), timestamp (date-time), type (enum: status_change, step_started, step_completed, step_failed, tool_call, tool_result, message, error, custom)
Logs a new event against the specified run and returns the created event. Events form the run's audit trail and can reference a plan step or agent.
POST /ai/missions/{mission_id}/runs/{run_id}/events — Required: type, summary
Optional: agent_id (string), idempotency_key (string), payload (object), step_id (string)
const response = await client.ai.missions.runs.events.log('182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e', {
mission_id: '182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e',
summary: 'Brief task summary',
type: 'status_change',
});
console.log(response.data);
Returns: agent_id (string), event_id (string), idempotency_key (string), payload (object), run_id (string), step_id (string), summary (string), timestamp (date-time), type (enum: status_change, step_started, step_completed, step_failed, tool_call, tool_result, message, error, custom)
Returns the details of a single event logged for the specified run, including its type and payload.
GET /ai/missions/{mission_id}/runs/{run_id}/events/{event_id}
const response = await client.ai.missions.runs.events.getEventDetails('event_id', {
mission_id: '182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e',
run_id: '182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e',
});
console.log(response.data);
Returns: agent_id (string), event_id (string), idempotency_key (string), payload (object), run_id (string), step_id (string), summary (string), timestamp (date-time), type (enum: status_change, step_started, step_completed, step_failed, tool_call, tool_result, message, error, custom)
Pauses a currently running run and returns the updated run object. Execution halts until the run is resumed.
POST /ai/missions/{mission_id}/runs/{run_id}/pause
const response = await client.ai.missions.runs.pauseRun('182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e', {
mission_id: '182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e',
});
console.log(response.data);
Returns: error (string), finished_at (date-time), input (object), metadata (object), mission_id (uuid), result_payload (object), result_summary (string), run_id (uuid), started_at (date-time), status (enum: pending, running, paused, succeeded, failed, cancelled), updated_at (date-time)
Returns the plan for the specified run, including all plan steps and their statuses, so you can see how the mission was decomposed and how far execution has progressed.
GET /ai/missions/{mission_id}/runs/{run_id}/plan
const plan = await client.ai.missions.runs.plan.retrieve('182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e', {
mission_id: '182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e',
});
console.log(plan.data);
Returns: completed_at (date-time), description (string), metadata (object), parent_step_id (string), run_id (uuid), sequence (integer), started_at (date-time), status (enum: pending, in_progress, completed, skipped, failed), step_id (string)
Creates the initial plan for the specified run from the provided steps and returns the created plan steps. Progress is subsequently reported by updating individual steps.
POST /ai/missions/{mission_id}/runs/{run_id}/plan — Required: steps
const plan = await client.ai.missions.runs.plan.create('182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e', {
mission_id: '182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e',
steps: [
{
description: 'description',
sequence: 0,
step_id: '550e8400-e29b-41d4-a716-446655440000',
},
],
});
console.log(plan.data);
Returns: completed_at (date-time), description (string), metadata (object), parent_step_id (string), run_id (uuid), sequence (integer), started_at (date-time), status (enum: pending, in_progress, completed, skipped, failed), step_id (string)
Add one or more steps to an existing plan
POST /ai/missions/{mission_id}/runs/{run_id}/plan/steps — Required: steps
const response = await client.ai.missions.runs.plan.addStepsToPlan(
'182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e',
{
mission_id: '182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e',
steps: [
{
description: 'description',
sequence: 0,
step_id: '550e8400-e29b-41d4-a716-446655440000',
},
],
},
);
console.log(response.data);
Returns: completed_at (date-time), description (string), metadata (object), parent_step_id (string), run_id (uuid), sequence (integer), started_at (date-time), status (enum: pending, in_progress, completed, skipped, failed), step_id (string)
Returns the details of a single plan step within a run's plan, including its status.
GET /ai/missions/{mission_id}/runs/{run_id}/plan/steps/{step_id}
const response = await client.ai.missions.runs.plan.getStepDetails('step_id', {
mission_id: '182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e',
run_id: '182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e',
});
console.log(response.data);
Returns: completed_at (date-time), description (string), metadata (object), parent_step_id (string), run_id (uuid), sequence (integer), started_at (date-time), status (enum: pending, in_progress, completed, skipped, failed), step_id (string)
Updates the status of a single plan step and returns the updated step. Typically called by the executing agent as it works through the plan.
PATCH /ai/missions/{mission_id}/runs/{run_id}/plan/steps/{step_id}
Optional: metadata (object), status (enum: pending, in_progress, completed, skipped, failed)
const response = await client.ai.missions.runs.plan.updateStep('step_id', {
mission_id: '182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e',
run_id: '182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e',
});
console.log(response.data);
Returns: completed_at (date-time), description (string), metadata (object), parent_step_id (string), run_id (uuid), sequence (integer), started_at (date-time), status (enum: pending, in_progress, completed, skipped, failed), step_id (string)
Resumes a previously paused run and returns the updated run object, letting execution continue from where it was paused.
POST /ai/missions/{mission_id}/runs/{run_id}/resume
const response = await client.ai.missions.runs.resumeRun('182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e', {
mission_id: '182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e',
});
console.log(response.data);
Returns: error (string), finished_at (date-time), input (object), metadata (object), mission_id (uuid), result_payload (object), result_summary (string), run_id (uuid), started_at (date-time), status (enum: pending, running, paused, succeeded, failed, cancelled), updated_at (date-time)
Returns the Telnyx agents currently linked to the specified run. Linked agents participate in executing the run's plan.
GET /ai/missions/{mission_id}/runs/{run_id}/telnyx-agents
const telnyxAgents = await client.ai.missions.runs.telnyxAgents.list(
'182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e',
{ mission_id: '182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e' },
);
console.log(telnyxAgents.data);
Returns: created_at (date-time), run_id (string), telnyx_agent_id (string)
Link a Telnyx AI agent (voice/messaging) to a run
POST /ai/missions/{mission_id}/runs/{run_id}/telnyx-agents — Required: telnyx_agent_id
const response = await client.ai.missions.runs.telnyxAgents.link(
'182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e',
{ mission_id: '182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e', telnyx_agent_id: '550e8400-e29b-41d4-a716-446655440000' },
);
console.log(response.data);
Returns: created_at (date-time), run_id (string), telnyx_agent_id (string)
Unlinks the specified Telnyx agent from the run so it no longer participates in execution. The run itself and its history are unaffected.
DELETE /ai/missions/{mission_id}/runs/{run_id}/telnyx-agents/{telnyx_agent_id}
await client.ai.missions.runs.telnyxAgents.unlink('telnyx_agent_id', {
mission_id: '182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e',
run_id: '182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e',
});
Returns the tools configured on the specified mission. Tools define the actions agents may invoke while executing the mission's runs.
GET /ai/missions/{mission_id}/tools
const response = await client.ai.missions.tools.listTools('mission_id');
console.log(response);
Adds a new tool to the specified mission, defining an action agents can invoke during runs of this mission.
POST /ai/missions/{mission_id}/tools
const response = await client.ai.missions.tools.createTool('mission_id');
console.log(response);
Returns the definition of a single tool configured on the specified mission.
GET /ai/missions/{mission_id}/tools/{tool_id}
const response = await client.ai.missions.tools.getTool('tool_id', { mission_id: '550e8400-e29b-41d4-a716-446655440000' });
console.log(response);
Replaces the definition of the specified tool on this mission.
PUT /ai/missions/{mission_id}/tools/{tool_id}
const response = await client.ai.missions.tools.updateTool('tool_id', { mission_id: '550e8400-e29b-41d4-a716-446655440000' });
console.log(response);
Removes the specified tool from the mission so agents can no longer invoke it in subsequent runs.
DELETE /ai/missions/{mission_id}/tools/{tool_id}
await client.ai.missions.tools.deleteTool('tool_id', { mission_id: '550e8400-e29b-41d4-a716-446655440000' });
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Test VoIP push notifications for Telnyx WebRTC iOS (APNs) and Android (FCM) apps. Use when debugging push notification delivery, validating certificate/credential setup, or testing that a device receives VoIP pushes correctly.
中文简介正在准备中。当前显示原文说明。
10DLC brand and campaign registration for US A2P messaging compliance. Assign phone numbers to campaigns.
中文简介正在准备中。当前显示原文说明。
10DLC brand and campaign registration for US A2P messaging compliance. Assign phone numbers to campaigns.
中文简介正在准备中。当前显示原文说明。
10DLC brand and campaign registration for US A2P messaging compliance. Assign phone numbers to campaigns.
中文简介正在准备中。当前显示原文说明。
10DLC brand and campaign registration for US A2P messaging compliance. Assign phone numbers to campaigns.
中文简介正在准备中。当前显示原文说明。
10DLC brand and campaign registration for US A2P messaging compliance. Assign phone numbers to campaigns.
中文简介正在准备中。当前显示原文说明。