qBud Python Client
qbud helps to make interaction with qBud assistants easier. Its aim is to provide a low-code solution for interactions with assistants that you have configured via the UI.
How to Install
Installing is easy:
pip install qbud
We recommend python>=3.9, but the client may run with older versions as well. The only external dependency is the widely used requests library, which is installed when running the above command.
Configuration
Authentication is done with a per-assistant access key, generated from your account.
| Variable | Required | Default | Purpose |
|---|---|---|---|
QBUD_ASSISTANT_ACCESS_KEY |
yes* | — | Access key for the assistant. *Optional if you pass access_key=... to Assistant() directly. |
QBUD_BASE_URL |
no | https://api.qbud.ai |
Override the API host (e.g. for staging). |
Quickstart
1. Connect to an assistant
Make sure you have built an assistant via our UI. When you're editing the assistant there, copy the ID from the address bar (after /assistants/) and pair it with your assistant access key:
from qbud import Assistant
assistant = Assistant("<your-assistant-id>", access_key="<your-access-key>")
# or, with QBUD_ASSISTANT_ACCESS_KEY set in the environment:
assistant = Assistant("<your-assistant-id>")
2. Send messages
Create a chat with assistant.create_chat() and call send_message(...) on it:
chat = assistant.create_chat()
response = chat.send_message("Hi!")
print(response)
> {"content": "Hi there!", "role": "assistant"}
Saving and loading chats
By design, chat message history cannot be retrieved from our API. If you need history across sessions, save chats locally:
from qbud import Chat
# save a Chat object as JSON (message history only — the access key is
# never written to disk, since it is a bearer credential for the chat)
chat.save("chat.json")
# ...session terminates
# load a Chat instance from the saved JSON. The result is read-only:
# get_messages() works, but send_message() requires a live chat created
# via Assistant.create_chat().
chat = Chat.load("chat.json")
You can also inspect the in-memory history with get_messages(...):
print(chat.get_messages())
> [{"content": "Hi!", "role": "user"}, {"content": "Hi there!", "role": "assistant"}]
Release files for qbud 0.2.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| qbud-0.2.0.tar.gz | 7.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| qbud-0.2.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size:14.5 kB
Release files / qbud-0.2.0.tar.gz
| Download URL | qbud-0.2.0.tar.gz |
|---|---|
| Size | 7.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
a33815638a17a9f462d19eeab95fa19704816b108373748ff469f0fb34a0bebe
|
|
BLAKE2b-256 checksum How to use checksums |
16213a5afb5f32602ce107fbe3f467dacbe3832f62c5ad8fe0d5536b87d8395a
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.12.13
|
Release files / qbud-0.2.0-py3-none-any.whl
| Download URL | qbud-0.2.0-py3-none-any.whl |
|---|---|
| Size | 6.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
94fe3110b20dcf187d5c7fa58603c2abc19216b3ce1aff150ade714aef10afd0
|
|
BLAKE2b-256 checksum How to use checksums |
ecf2e55fcf82006f1adc8d9857c0115fcd183b215011931fc2b44d7f2654c0ab
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.12.13
|