/api/project/{projectId}/integration/api

Authorization: Bearer {your-api-key}

from openai import OpenAI

# Initialize client with Pathors API URL
client = OpenAI(
    api_key="your-api-key",
    base_url="https://app.pathors.com/api/project/your-project-id/integration/api"
)

# Get an assistant (using project ID as assistant ID)
assistant = client.beta.assistants.retrieve(assistant_id="your-project-id")

# Create a thread and run in one step (recommended approach)
run = client.beta.threads.create_and_run(
    assistant_id="your-project-id",
    thread={
        "messages": [
            {
                "role": "user",
                "content": "Hello, can you help me with a question?"
            }
        ]
    }
)

# Poll for completion
while run.status in ["queued", "in_progress"]:
    time.sleep(1)
    run = client.beta.threads.runs.retrieve(
        thread_id=run.thread_id,
        run_id=run.id
    )
    print(f"Run status: {run.status}")

# List messages after completion
messages = client.beta.threads.messages.list(thread_id=run.thread_id)
for msg in messages.data:
    print(f"[{msg.role}]: {msg.content[0].text.value}")

# Continue the conversation
client.beta.threads.messages.create(
    thread_id=run.thread_id,
    role="user",
    content="Tell me more about this topic."
)

# Run the assistant again on the same thread
new_run = client.beta.threads.runs.create(
    thread_id=run.thread_id,
    assistant_id="your-project-id"
)

# Poll for completion
while new_run.status in ["queued", "in_progress"]:
    time.sleep(1)
    new_run = client.beta.threads.runs.retrieve(
        thread_id=run.thread_id,
        run_id=new_run.id
    )

# Get the latest messages
updated_messages = client.beta.threads.messages.list(
    thread_id=run.thread_id,
    order="desc",
    limit=1
)
print(f"[{updated_messages.data[0].role}]: {updated_messages.data[0].content[0].text.value}")