Governance APIs for ChatGPT Enterprise

API
1

Hello,

I’ve been successfully able to pull down project reports using a Python script that I built referencing the introduction api reference guide.

I’m trying to retrieve conversation reports using what I believe to be the correct endpoint (/compliance/workspaces/{workspace_id}/conversations), but I’m consistently getting a 400 Bad Request error. I’ve followed the same approach that worked for projects, including handling pagination and rate limiting, but I can’t seem to get this working. Just constant 400 Bad Request Errors. I think I have been following the guide correctly.

My code is here:

import time
import json
import datetime
import requests

------------------------------------------------------------------------------

CONFIGURATION

------------------------------------------------------------------------------

API_KEY = “sk-XXXXXXXXXXXXXXXXXXXXXXXXXX”
WORKSPACE_ID = “XXXXXXXXXXXXXXXXXXXXXXXXXX”
BASE_URL = “api.chatgpt dot com/v1” # Full link removed to allow posting on forum

Optional: Maximum times to retry a request when encountering 429 responses

MAX_RETRIES = 5

Optional: Base delay (in seconds) before retrying on 429; can increase exponentially

BASE_DELAY = 2

def list_conversations(workspace_id, limit=20):
“”"
Generator function to list all conversations in a workspace using pagination.
“”"
url = f"{BASE_URL}/compliance/workspaces/{workspace_id}/conversations"
headers = {“Authorization”: f"Bearer {API_KEY}"}

after = None
while True:
    params = {"limit": limit}
    if after:
        params["after"] = after

    retry_count = 0
    while True:
        try:
            response = requests.get(url, headers=headers, params=params)
            if response.status_code == 429:
                if retry_count < MAX_RETRIES:
                    retry_count += 1
                    sleep_time = BASE_DELAY * (2 ** (retry_count - 1))
                    print(f"[WARN] Rate-limited. Retrying in {sleep_time} seconds...")
                    time.sleep(sleep_time)
                    continue
                else:
                    response.raise_for_status()
            else:
                response.raise_for_status()
            break
        except requests.exceptions.RequestException as e:
            print(f"[ERROR] Request failed: {e}")
            raise

    data = response.json()

    # Yield each conversation from the API response
    for convo in data.get("data", []):
        yield convo

    # Check if there are more conversations to fetch
    if not data.get("has_more"):
        break
    after = data.get("last_id")

def main():
all_conversations =
print(“Fetching all conversations from the workspace…”)

for convo in list_conversations(WORKSPACE_ID, limit=10):
    # Convert numeric timestamp to human-readable string in UK format
    raw_ts = convo.get('created_at')
    if raw_ts:
        dt_obj = datetime.datetime.utcfromtimestamp(raw_ts)
        # dd-mm-yyyy HH:MM:SS
        uk_format_with_time = dt_obj.strftime('%d-%m-%Y %H:%M:%S')
    else:
        uk_format_with_time = "N/A"

    print(f"Conversation ID: {convo['id']}, Created At (UK): {uk_format_with_time}")

    # Store the UK-formatted time back into the conversation data if you want to export it
    convo["created_at_uk"] = uk_format_with_time
    all_conversations.append(convo)

# EXAMPLE 1: Save to JSON file
with open("conversations_output.json", "w", encoding="utf-8") as f:
    json.dump(all_conversations, f, indent=2)
print("All conversation data saved to 'conversations_output.json'")

# EXAMPLE 2: Save to CSV
with open("conversations_output.csv", "w", encoding="utf-8") as f:
    # Adjust the columns below to match what your conversation data contains
    f.write("id,created_at_uk\n")
    for convo in all_conversations:
        row = f"{convo['id']},{convo.get('created_at_uk','')}\n"
        f.write(row)
print("All conversation data saved to 'conversations_output.csv'")

print(f"Total Conversations Fetched: {len(all_conversations)}")

if name == “main”:
main()

Any help with this would be greatly appreciated. Also, apologies in advance, I’m very new to this.

Let me know if you need any further details.