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https://github.com/trustgraph-ai/trustgraph.git
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310a2deb06
* Tidy up duplicate tech specs in doc directory * Streaming LLM text-completion service tech spec. * text-completion and prompt interfaces * streaming change applied to all LLMs, so far tested with VertexAI * Skip Pinecone unit tests, upstream module issue is affecting things, tests are passing again * Added agent streaming, not working and has broken tests
105 lines
3.3 KiB
Python
105 lines
3.3 KiB
Python
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import _pulsar
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from .. schema import TextCompletionRequest, TextCompletionResponse
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from .. schema import text_completion_request_queue
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from .. schema import text_completion_response_queue
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from . base import BaseClient
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from .. exceptions import LlmError
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# Ugly
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ERROR=_pulsar.LoggerLevel.Error
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WARN=_pulsar.LoggerLevel.Warn
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INFO=_pulsar.LoggerLevel.Info
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DEBUG=_pulsar.LoggerLevel.Debug
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class LlmClient(BaseClient):
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def __init__(
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self, log_level=ERROR,
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subscriber=None,
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input_queue=None,
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output_queue=None,
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pulsar_host="pulsar://pulsar:6650",
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pulsar_api_key=None,
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):
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if input_queue is None: input_queue = text_completion_request_queue
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if output_queue is None: output_queue = text_completion_response_queue
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super(LlmClient, self).__init__(
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log_level=log_level,
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subscriber=subscriber,
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input_queue=input_queue,
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output_queue=output_queue,
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pulsar_host=pulsar_host,
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pulsar_api_key=pulsar_api_key,
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input_schema=TextCompletionRequest,
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output_schema=TextCompletionResponse,
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)
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def request(self, system, prompt, timeout=300, streaming=False):
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"""
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Non-streaming request (backward compatible).
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Returns complete response string.
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"""
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if streaming:
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raise ValueError("Use request_stream() for streaming requests")
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return self.call(
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system=system, prompt=prompt, streaming=False, timeout=timeout
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).response
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def request_stream(self, system, prompt, timeout=300):
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"""
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Streaming request generator.
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Yields response chunks as they arrive.
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Usage:
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for chunk in client.request_stream(system, prompt):
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print(chunk.response, end='', flush=True)
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"""
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import time
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import uuid
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id = str(uuid.uuid4())
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request = TextCompletionRequest(
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system=system, prompt=prompt, streaming=True
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)
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end_time = time.time() + timeout
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self.producer.send(request, properties={"id": id})
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# Collect responses until end_of_stream
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while time.time() < end_time:
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try:
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msg = self.consumer.receive(timeout_millis=2500)
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except Exception:
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continue
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mid = msg.properties()["id"]
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if mid == id:
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value = msg.value()
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# Handle errors
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if value.error:
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self.consumer.acknowledge(msg)
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if value.error.type == "llm-error":
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raise LlmError(value.error.message)
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else:
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raise RuntimeError(
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f"{value.error.type}: {value.error.message}"
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)
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self.consumer.acknowledge(msg)
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yield value
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# Check if this is the final chunk
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if getattr(value, 'end_of_stream', True):
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break
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else:
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# Ignore messages with wrong ID
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self.consumer.acknowledge(msg)
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if time.time() >= end_time:
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raise TimeoutError("Timed out waiting for response")
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