M2M Chat (Async)

Overview

The asynchronous chat endpoint accepts a message and returns immediately with a request_id. Your application then polls the status endpoint until the answer is ready. Use this when your integration uses background job patterns, message queues, or webhooks to handle results asynchronously.

When to use async chat

Your application already uses job or queue processing
You want non-blocking request handling
You expect high concurrency or spike traffic
You prefer polling over waiting for a 60-second response
You want to decouple request submission from result handling

For immediate synchronous answers, use sync chat.

Authentication

This endpoint requires an API key in the X-API-Key header:

X-API-Key: <YOUR_API_KEY>

The API key must belong to a tenant that owns the specified site.

Request body

string

required

The user’s question or statement. Required.

string

A stable identifier for the conversation. If omitted, a new session is created.

string

The user’s email address. Required when creating a new session. Optional for follow-up messages.

string

The AI model to use. Defaults to the site’s configured model or gpt-4o-mini.

string

Language for the response (e.g., en, tr, es).

string

Locale code for UI context (e.g., en-US, tr-TR).

Request example

curl --request POST \
  --url "https://api.uppzy.com/api/v1/m2m/sites/<SITE_ID>/chat/async" \
  --header "X-API-Key: <YOUR_API_KEY>" \
  --header "Content-Type: application/json" \
  --data '{
    "session_id": "user-123-web",
    "message": "What shipping methods do you support?",
    "email": "customer@example.com"
  }'

const response = await fetch(
  "https://api.uppzy.com/api/v1/m2m/sites/<SITE_ID>/chat/async",
  {
    method: "POST",
    headers: {
      "X-API-Key": process.env.UPPZY_API_KEY,
      "Content-Type": "application/json",
    },
    body: JSON.stringify({
      session_id: "user-123-web",
      message: "What shipping methods do you support?",
      email: "customer@example.com",
    }),
  }
);

const data = await response.json();
console.log(`Request ID: ${data.request_id}`);
// Now poll for status using data.request_id

import requests
import os

response = requests.post(
    "https://api.uppzy.com/api/v1/m2m/sites/<SITE_ID>/chat/async",
    headers={"X-API-Key": os.environ["UPPZY_API_KEY"]},
    json={
        "session_id": "user-123-web",
        "message": "What shipping methods do you support?",
        "email": "customer@example.com",
    },
)

response.raise_for_status()
data = response.json()
print(f"Request ID: {data['request_id']}")
# Store the request_id and poll later

Response schema (immediate)

string

A unique identifier for this chat request. Use it to poll the status endpoint.

string

The session identifier for this conversation.

string

Always pending on the initial response.

string

An optional placeholder message to show the user while processing.

Response example

{
  "request_id": "req_550e8400e29b41d4a716446655440000",
  "session_id": "user-123-web",
  "status": "pending",
  "placeholder": "Let me look that up for you..."
}

Polling the status

After receiving the initial response, poll the status endpoint to check completion:

GET /m2m/sites/{site_id}/chat/requests/{request_id}

Example:

curl --request GET \
  --url "https://api.uppzy.com/api/v1/m2m/sites/<SITE_ID>/chat/requests/<REQUEST_ID>" \
  --header "X-API-Key: <YOUR_API_KEY>"

Complete workflow example

async function chatAsync(siteId, message, sessionId, email) {
  // Step 1: Submit the request
  const submitRes = await fetch(
    `https://api.uppzy.com/api/v1/m2m/sites/${siteId}/chat/async`,
    {
      method: "POST",
      headers: {
        "X-API-Key": process.env.UPPZY_API_KEY,
        "Content-Type": "application/json",
      },
      body: JSON.stringify({
        session_id: sessionId,
        message,
        email,
      }),
    }
  );

  const submitted = await submitRes.json();
  const requestId = submitted.request_id;

  // Step 2: Poll for completion
  let answer = null;
  let status = "pending";
  let attempts = 0;
  const maxAttempts = 120; // 2 minutes with 1s polling

  while (status === "pending" && attempts < maxAttempts) {
    await new Promise((r) => setTimeout(r, 1000)); // Wait 1 second

    const statusRes = await fetch(
      `https://api.uppzy.com/api/v1/m2m/sites/${siteId}/chat/requests/${requestId}`,
      {
        headers: {
          "X-API-Key": process.env.UPPZY_API_KEY,
        },
      }
    );

    const statusData = await statusRes.json();
    status = statusData.status;

    if (status === "completed") {
      answer = statusData.answer;
    } else if (status === "failed") {
      throw new Error(`Request failed: ${statusData.error}`);
    }

    attempts++;
  }

  if (status !== "completed") {
    throw new Error("Request timed out after 2 minutes");
  }

  return { requestId, answer };
}

import requests
import time
import os

def chat_async(site_id, message, session_id, email):
    api_key = os.environ["UPPZY_API_KEY"]
    
    # Step 1: Submit the request
    submit_resp = requests.post(
        f"https://api.uppzy.com/api/v1/m2m/sites/{site_id}/chat/async",
        headers={"X-API-Key": api_key},
        json={
            "session_id": session_id,
            "message": message,
            "email": email,
        },
        timeout=30,
    )
    submit_resp.raise_for_status()
    submitted = submit_resp.json()
    request_id = submitted["request_id"]

    # Step 2: Poll for completion
    max_attempts = 120
    attempt = 0
    
    while attempt < max_attempts:
        time.sleep(1)  # Wait 1 second between polls
        
        status_resp = requests.get(
            f"https://api.uppzy.com/api/v1/m2m/sites/{site_id}/chat/requests/{request_id}",
            headers={"X-API-Key": api_key},
            timeout=30,
        )
        status_resp.raise_for_status()
        status_data = status_resp.json()
        
        if status_data["status"] == "completed":
            return {
                "request_id": request_id,
                "answer": status_data["answer"],
            }
        elif status_data["status"] == "failed":
            raise Exception(f"Request failed: {status_data.get('error')}")
        
        attempt += 1
    
    raise Exception("Request timed out after 2 minutes")

Error responses

Same error codes as sync chat:

400: Invalid request
401: Authentication failed
403: Plan does not include M2M API
404: Site not found
429: Rate limited
500: Server error

Polling strategy

Recommended polling approach:

Initial poll: Wait 1-2 seconds before first status check
Polling interval: Check every 1-2 seconds
Timeout: Stop after 2-5 minutes (typical completion is 5-30 seconds)
Backoff on failure: If status endpoint returns 5xx, implement exponential backoff

Example adaptive polling:

async function pollUntilComplete(siteId, requestId, maxWaitSeconds = 300) {
  const startTime = Date.now();
  const maxWait = maxWaitSeconds * 1000;
  
  let pollIntervalMs = 1000; // Start with 1 second
  
  while (Date.now() - startTime < maxWait) {
    const resp = await fetch(
      `https://api.uppzy.com/api/v1/m2m/sites/${siteId}/chat/requests/${requestId}`,
      {
        headers: { "X-API-Key": process.env.UPPZY_API_KEY },
      }
    );

    if (resp.ok) {
      const data = await resp.json();
      if (data.status === "completed" || data.status === "failed") {
        return data;
      }
      // Reset interval on success
      pollIntervalMs = 1000;
    } else if (resp.status >= 500) {
      // Back off on server errors
      pollIntervalMs = Math.min(pollIntervalMs * 1.5, 10000);
    }

    await new Promise((r) => setTimeout(r, pollIntervalMs));
  }

  throw new Error("Polling timeout");
}

Comparison: async vs sync

Aspect	Async	Sync
Implementation	Submit + poll	Wait for answer
Latency to response	0.1s (submit)	5-60s
Scalability	Better for high concurrency	Limited by request connections
Complexity	More code (polling loop)	Simpler
Best for	Background jobs, queues	Real-time chat UI

M2M Chat (Sync) — Blocking alternative
M2M Chat Status — Poll request status
M2M Chat Feedback — Submit quality feedback
M2M Sessions — List conversations

Start Here

Code Samples

Integration Playbooks

Reliability

API Reference

Overview

When to use async chat

Authentication

Request body

Request example

Response schema (immediate)

Response example

Polling the status

Complete workflow example

Error responses

Polling strategy

Comparison: async vs sync

​Overview

​When to use async chat

​Authentication

​Request body

​Request example

​Response schema (immediate)

​Response example

​Polling the status

​Complete workflow example

​Error responses

​Polling strategy

​Comparison: async vs sync

​Related endpoints

Overview

When to use async chat

Authentication

Request body

Request example

Response schema (immediate)

Response example

Polling the status

Complete workflow example

Error responses

Polling strategy

Comparison: async vs sync

Related endpoints