> For the complete documentation index, see [llms.txt](https://docs.connectly.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.connectly.ai/parsing-ndjson-stream.md).

# Parsing NDJSON stream

For example, the endpoint [Agent Graph Invoke ](/agent-graph/agent-graph-api/invoke-stream.md)returns a stream of sequential JSON objects. If you try to parse the raw response as a JSON, it will fail:

```python
import requests
response = requests.post("https://api.connectly.ai/external/v1/ai/agent_graph/invoke", ...)
data = response.json()  # <- fails with JSON parse error
```

This happens because internally we stream the events to allow a smoother user experience.

To properly parse the response, you can use this logic:

```python
import requests
import json

url = "https://api.connectly.ai/external/v1/ai/agent_graph/invoke"
payload = json.dumps(
    {
        "clientKey": "***",
        "businessId": "***",
        "sessionId": "b6bed81c-5fda-486d-b96c-1ff3af36219a",
        "inputEvents": [
            {
                "messageEvent": {
                    "role": "USER",
                    "content": {"textContent": {"text": "Hi"}},
                }
            }
        ],
    }
)
headers = {"Content-Type": "application/json"}
response = requests.request("POST", url, headers=headers, data=payload, stream=True)

for raw_line in response.iter_lines():  # <- parse each line as a JSON
    if raw_line:
        line = raw_line.decode("utf-8")
        data = json.loads(line)
        print(data)
```


---

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