Chat without a Collection (directly to an LLM)
Overview​
Users can chat directly with a language model (LLM) without creating a Collection. To do so, a user can start a new chat session without specifying a collection ID.
Example​
from h2ogpte import H2OGPTE
client = H2OGPTE(
address="https://h2ogpte.genai.h2o.ai",
api_key='sk-XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX',
)
# Specifying a Collection ID is not required when using the `create_chat_session` method to interact directly with the large language model (LLM). However, if you wish to converse with a Collection, you must include a Collection ID as a parameter in the `create_chat_session` method.
chat_session_id = client.create_chat_session()
with client.connect(chat_session_id) as session:
reply = session.query("What is H2O.ai?")
print(
f"Content: {reply.content}\n" # Response to the sent query
f"Created at: {reply.created_at}\n"
f"Error: {reply.error}\n"
f"ID: {reply.id}\n"
f"Model computed fields: {reply.model_computed_fields}\n"
f"Model config: {reply.model_config}\n"
f"Model fields: {reply.model_fields}\n"
f"Reply to: {reply.reply_to}\n"
f"Type list: {reply.type_list}\n"
f"Votes: {reply.votes}"
)
Content: H2O.ai is a research organization that focuses on developing and advancing artificial intelligence technologies. They are known for their work in natural language processing, machine learning, and other areas of AI research.
Created at: 2024-10-30 17:53:43.893784
Error: None
ID: faa62d72-2213-4a39-8cc6-382a710d653d
Model computed fields: {}
Model config: {}
Model fields: {'id': FieldInfo(annotation=str, required=True), 'content': FieldInfo(annotation=str, required=True), 'reply_to': FieldInfo(annotation=Union[str, NoneType], required=False, default=None), 'votes': FieldInfo(annotation=int, required=True), 'created_at': FieldInfo(annotation=datetime, required=True), 'type_list': FieldInfo(annotation=Union[List[str], NoneType], required=False, default=None), 'error': FieldInfo(annotation=Union[str, NoneType], required=False, default=None)}
Reply to: 4a499ecb-c655-43fc-bc04-1a7e1c70d0e2
Type list: []
Votes: 0
Feedback
- Submit and view feedback for this page
- Send feedback about Enterprise h2oGPTe to cloud-feedback@h2o.ai