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a9197d11ee
- 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
19 lines
436 B
Python
Executable file
19 lines
436 B
Python
Executable file
#!/usr/bin/env python3
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import pulsar
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from trustgraph.clients.llm_client import LlmClient
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llm = LlmClient(
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pulsar_host="pulsar://pulsar:6650",
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input_queue="non-persistent://tg/request/text-completion:default",
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output_queue="non-persistent://tg/response/text-completion:default",
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subscriber="test1",
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)
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system = "You are a lovely assistant."
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prompt="what is 2 + 2 == 5"
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resp = llm.request(system, prompt)
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print(resp)
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