mirror of
https://github.com/theroyallab/tabbyAPI.git
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- remove disconnect_task - move disconnect logic to a per-request handler that wraps cleanup operation and directly polls the request state with throttling - exclusively signal disconnect with CancelledError - rework completions endpoint to follow same approach as chat completions, share some code - refactor OAI endpoints a bit - correct behavior for batched completion requests - make sure logprobs work for completion and streaming completion requests - more tests
52 lines
1.4 KiB
Python
52 lines
1.4 KiB
Python
import yaml
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from _common import *
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BASE_URL = "http://localhost:5000/v1"
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MODEL = "/mnt/str/models/qwen3.5-35b-a3b/exl3/4.09bpw/"
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oai_request = {
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"model": MODEL,
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"template_vars": {
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"enable_thinking": False,
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},
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"messages": [
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{
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"role": "user",
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"content": "Write a Haiku about fish, and start each line with a fish-related emoji.",
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}
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],
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"logprobs": True,
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"top_logprobs": 7,
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"stream_options": {"include_usage": True},
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# "max_tokens": 200,
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}
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oai_request_2 = {
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"model": MODEL,
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"template_vars": {
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"enable_thinking": True,
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},
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"messages": [{"role": "user", "content": "What is the mass of a water molecule, in kg?"}],
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"logprobs": True,
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"top_logprobs": 5,
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"stream_options": {"include_usage": True},
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# "max_tokens": 200,
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}
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def main():
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with open("api_tokens.yml") as f:
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tokens = yaml.safe_load(f)
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api_key = tokens["admin_key"]
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test_chat_request(api_key, BASE_URL, oai_request.copy(), n=1)
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test_chat_request(api_key, BASE_URL, oai_request.copy(), n=2)
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test_chat_streaming(api_key, BASE_URL, oai_request.copy(), n=1)
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test_chat_streaming(api_key, BASE_URL, oai_request.copy(), n=2)
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test_chat_streaming(api_key, BASE_URL, oai_request.copy(), n=1, rawdump=True)
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test_chat_request(api_key, BASE_URL, oai_request_2.copy(), n=1)
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if __name__ == "__main__":
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main()
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