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⭐️ Features
-
Access to latest AI Engine features
-
Simple and intuitive API
📦 Getting Started
poetry add ai-engine-sdk
# or
pip install ai-engine-sdk
Using the Chat API
Before you start to integrate the AI Engine into your app, you might want to get familiar with agent functions.
Creating the AIEngine client object
To find out how to generate an apiKey
check out the documentation regarding Agentverse API keys.
from ai_engine_sdk import AiEngine
ai_engine: AiEngine = AiEngine(api_key)
Querying the id of the function group where our to-be-used function(s) belong
function_groups: list[FunctionGroup] = await ai_engine.get_function_groups()
public_group = next(
(g for g in function_groups if g.name == "Fetch Verified"), None
)
If you would like to use the functions in your own My Functions function group, you can use this filter instead:
my_group = next(
(g for g in function_groups if g.name == "My Functions"), None
)
Sharing function groups
Purpose:
Allow to other users to use functions
, under a concrete function-group
, without replicating that function
or allowing them alter those functions
or funtion-group
data.
How to:
If you wish to give access to a certain function-group
(use, not alter the data/state of it), you can use the following method in the following way:
# assuming `ai_engine` is a valid instance of AiEngine
what_function_group_identifier_i_want_share="normally-this-is-an-uuid4"
user_email_i_want_to_share_the_function_group_with = "random@domain.com"
await ai_engine.share_function_group(
function_group_id=what_function_group_identifier_i_want_share,
target_user_email=user_email_i_want_to_share_the_function_group_with
)
Now, if you were requesting the available function-groups
for the user with email assigned to the target_user_email
argument, the function-group
with the id assigned to function_group_id
.
You can check that by using the AiEngine.get_function_groups
method.
Creating a session with the AI Engine using the functionGroupId
fetched before
session = await ai_engine.create_session(function_group=public_group.uuid)
Starting the conversation with an arbitrary objective
await session.start(objective)
Querying new messages
You might want to query new messages regularly ...
while True:
messages: list[ApiBaseMessage] = await session.get_messages()
# throttling
sleep(3)
Checking the type of the new message
There are 5 different types of messages which are generated by the AI Engine and the SDK implements methods for checking the type of the respective new Message
:
-
task selection message:
is_task_selection_message
- this message is generated for example in the case when the AI engine recommends functions based on the initial objective or in the case when the AI Engine finds multiple options to provide as an input for a function. -
AI Engine message:
is_ai_engine_message
- this message type doesn't expect the user to reply to, this is for notifying the user about something -
confirmation message:
is_confirmation_message
- when the AI Engine has managed to acquire all the inputs for the agent belonging to the to-be-executed function (= it has managed to build the context), it sends this type of message to the user -
agent message:
is_agent_message
- this is a regular question that the user has to reply to with a string -
stop message:
is_stop_message
- this is the message which is sent when the session has stopped and the AI Engine doesn't wait for any replies from the user
Replying to the different type of messages
All message types (except for the AI engine message and stop message) expect a response from the user and the SDK implements methods for sending reply in response to those different type of messages respectively.
The first argument of all these reply methods is the Message
object to which we want to send back the response.
The SDK methods you can use to reply to:
-
task selection message:
session.submit_task_selection
-
agent message:
session.submit_response
-
confirmation message:
session.submit_confirmation
orsession.reject_confirmation
- depending on if the user wants to confirm or reject the context generated by the AI engine respectively
Deleting session with AI engine
After finishing the conversation with AI Engine you can delete the session like this:
await session.delete()
If you would like to check out a complete example on how to integrate AI Engine into your app, feel free to checkout examples/run_example.py.
🔨 Useful scripts
Create function groups and share them with other user
Use cases:
- Test in different environments the function-group creation and sharing.
List function groups by user
List the function belonging to the user owning the AV_API_TOKEN.
Use cases:
Share function group
Share an existing function group by providing the id (you can fetch via 'list function groups'
✨ Contributing
All contributions are welcome! Remember, contribution includes not only code, but any help with docs or issues raised by other developers. See our contribution guidelines for more details.
❓ Issues, Questions, and Discussions
We use GitHub Issues for tracking requests and bugs.
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