You can access the AI Chat Export Normalizer programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in API & Integrations in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = { "conversations": [{
9            "id": "apify-qa-synthetic-001",
10            "title": "Synthetic Export Normalization Example",
11            "create_time": 1760100000,
12            "update_time": 1760100060,
13            "current_node": "apify-qa-assistant-001",
14            "mapping": {
15                "apify-qa-root-001": {
16                    "id": "apify-qa-root-001",
17                    "parent": None,
18                    "children": ["apify-qa-user-001"],
19                    "message": None,
20                },
21                "apify-qa-user-001": {
22                    "id": "apify-qa-user-001",
23                    "parent": "apify-qa-root-001",
24                    "children": ["apify-qa-assistant-001"],
25                    "message": {
26                        "id": "apify-qa-message-user-001",
27                        "author": {
28                            "role": "user",
29                            "name": None,
30                            "metadata": {},
31                        },
32                        "create_time": 1760100001,
33                        "content": {
34                            "content_type": "text",
35                            "parts": ["Normalize this synthetic conversation export."],
36                        },
37                        "metadata": {},
38                    },
39                },
40                "apify-qa-assistant-001": {
41                    "id": "apify-qa-assistant-001",
42                    "parent": "apify-qa-user-001",
43                    "children": [],
44                    "message": {
45                        "id": "apify-qa-message-assistant-001",
46                        "author": {
47                            "role": "assistant",
48                            "name": None,
49                            "metadata": {},
50                        },
51                        "create_time": 1760100002,
52                        "content": {
53                            "content_type": "text",
54                            "parts": ["Synthetic export accepted for automated quality assurance."],
55                        },
56                        "metadata": { "model_slug": "synthetic-qa-example" },
57                    },
58                },
59            },
60        }] }
61
62# Run the Actor and wait for it to finish
63run = client.actor("z3n_m4nt1s/ai-chat-export-normalizer").call(run_input=run_input)
64
65# Fetch and print Actor results from the run's dataset (if there are any)
66print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
67for item in client.dataset(run.default_dataset_id).iterate_items():
68    print(item)
69
70# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

AI Chat Export Normalizer for JSONL Workflows API in Python

The Apify API client for Python is the official library that allows you to use AI Chat Export Normalizer API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

Other API clients include:

AI Chat Export Normalizer API in JavaScript

AI Chat Export Normalizer API through CLI

AI Chat Export Normalizer OpenAPI definition

AI Chat Export Normalizer API

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