trustgraph/tests/test-embeddings
cybermaggedon a9197d11ee
Feature/configure flows (#345)
- Keeps processing in different flows separate so that data can go to different stores / collections etc.
- Potentially supports different processing flows
- Tidies the processing API with common base-classes for e.g. LLMs, and automatic configuration of 'clients' to use the right queue names in a flow
2025-04-22 20:21:38 +01:00

18 lines
422 B
Python
Executable file

#!/usr/bin/env python3
import pulsar
from trustgraph.clients.embeddings_client import EmbeddingsClient
embed = EmbeddingsClient(
pulsar_host="pulsar://pulsar:6650",
input_queue="non-persistent://tg/request/embeddings:default",
output_queue="non-persistent://tg/response/embeddings:default",
subscriber="test1",
)
prompt="Write a funny limerick about a llama"
resp = embed.request(prompt)
print(resp)