Consolidate streaming session tests (4 files → 3, fewer server starts) (#20961)
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@@ -3,13 +3,11 @@ Usage:
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python3 -m unittest test_session_control.TestSessionControl.test_session_control
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python3 -m unittest test_session_control.TestSessionControl.test_session_control_with_branching
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python3 -m unittest test_session_control.TestSessionControl.test_session_control_backtrack_with_abort
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python3 -m unittest test_session_control.TestSessionControl.test_streaming_session
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python3 -m unittest test_session_control.TestSessionControlVision.test_session_control
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"""
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import asyncio
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import json
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import time
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import unittest
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import aiohttp
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@@ -45,7 +43,6 @@ class TestSessionControl(unittest.TestCase):
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other_args=[
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"--attention-backend",
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"triton",
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"--enable-streaming-session",
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],
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)
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@@ -435,162 +432,6 @@ class TestSessionControl(unittest.TestCase):
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asyncio.run(self.run_session_control_backtrack_with_abort(replace=True))
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asyncio.run(self.run_session_control_backtrack_with_abort(replace=False))
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def test_streaming_session(self, gen_len=12):
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chunks = [
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"Let me tell you something about France.",
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"The capital of France is",
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"The population of the city is",
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]
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tokenizer = get_tokenizer(self.model)
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chunks_ids = [tokenizer.encode(x) for x in chunks]
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for i in range(1, len(chunks_ids)):
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if chunks_ids[i][0] == tokenizer.bos_token_id:
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chunks_ids[i] = chunks_ids[i][1:]
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# === Part 1: streaming session ===
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requests.post(self.base_url + "/flush_cache")
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session_id = requests.post(
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self.base_url + "/open_session",
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json={"capacity_of_str_len": 1000, "streaming": True},
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).json()
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rid = None
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outputs_from_session = []
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prev_kv_len = 0
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for turn_idx, chunk_ids in enumerate(chunks_ids):
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response = requests.post(
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self.base_url + "/generate",
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json={
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"input_ids": chunk_ids,
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"session_params": {"id": session_id, "rid": rid},
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"sampling_params": {
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"temperature": 0,
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"max_new_tokens": gen_len,
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"no_stop_trim": True,
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"skip_special_tokens": False,
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},
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},
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).json()
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rid = response["meta_info"]["id"]
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outputs_from_session.append(response["text"])
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cached = response["meta_info"]["cached_tokens"]
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prompt_tokens = response["meta_info"]["prompt_tokens"]
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completion_tokens = response["meta_info"]["completion_tokens"]
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if turn_idx == 0:
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# Turn 1 should have no cache hit (cache was flushed).
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self.assertEqual(
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cached, 0, "Turn 1 should have 0 cached tokens (clean start)"
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)
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else:
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# Turns 2+ inherit KV from the previous turn (via inherit_kv_states,
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# not radix tree matching). cached_tokens reflects the inherited prefix.
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self.assertEqual(
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cached,
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prev_kv_len,
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f"Turn {turn_idx + 1}: should inherit {prev_kv_len} KV tokens from previous turn",
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)
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prev_kv_len = prompt_tokens + completion_tokens
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# Close the session before checking cache/memory state.
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ret = requests.post(
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self.base_url + "/close_session",
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json={"session_id": session_id},
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)
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self.assertEqual(ret.status_code, 200)
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# === Cache verification (after close, before flush) ===
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# Assertion 2: turn 1's prompt was inserted to the cache.
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verify_resp = requests.post(
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self.base_url + "/generate",
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json={
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"input_ids": chunks_ids[0],
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"sampling_params": {"temperature": 0, "max_new_tokens": 1},
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},
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).json()
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self.assertGreater(
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verify_resp["meta_info"]["cached_tokens"],
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0,
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"Turn 1's prompt should be cached in the radix tree",
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)
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# Assertion 3 (insertion): turn 2's prompt tokens should NOT be in cache.
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# The tree should only contain turn 1's extent (prompt + output from
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# cache_unfinished_req during decode). Turn 2's prompt starts fresh tokens
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# that were never inserted.
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verify_resp2 = requests.post(
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self.base_url + "/generate",
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json={
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"input_ids": chunks_ids[1],
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"sampling_params": {"temperature": 0, "max_new_tokens": 1},
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},
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).json()
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self.assertEqual(
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verify_resp2["meta_info"]["cached_tokens"],
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0,
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"Turn 2's prompt should not be in cache (no insertion for turns 2+)",
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)
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# === Memory verification ===
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# Assertion 4 & 5: KV is released properly and no memory leak.
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# SGLANG_ENABLE_STRICT_MEM_CHECK_DURING_IDLE is True by default;
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# the scheduler will crash if it detects a leak during idle.
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time.sleep(2)
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health_resp = requests.get(self.base_url + "/health")
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self.assertEqual(
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health_resp.status_code,
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200,
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"Server should be healthy after session close (no memory leak)",
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)
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# After flush, all cache should be reclaimed.
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requests.post(self.base_url + "/flush_cache")
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verify_resp3 = requests.post(
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self.base_url + "/generate",
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json={
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"input_ids": chunks_ids[0],
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"sampling_params": {"temperature": 0, "max_new_tokens": 1},
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},
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).json()
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self.assertEqual(
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verify_resp3["meta_info"]["cached_tokens"],
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0,
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"After session close + flush, cache should be fully reclaimed",
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)
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# === Part 2: non-session baseline for output comparison ===
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requests.post(self.base_url + "/flush_cache")
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outputs_normal = []
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input_ids = chunks_ids[0][:]
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for i in range(len(chunks_ids)):
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response = requests.post(
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self.base_url + "/generate",
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json={
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"input_ids": input_ids,
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"sampling_params": {
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"temperature": 0,
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"max_new_tokens": gen_len,
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"no_stop_trim": True,
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"skip_special_tokens": False,
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},
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},
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).json()
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outputs_normal.append(response["text"])
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if i + 1 < len(chunks_ids):
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out_ids = tokenizer.encode(response["text"])
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if out_ids and out_ids[0] == tokenizer.bos_token_id:
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out_ids = out_ids[1:]
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input_ids = input_ids + out_ids + chunks_ids[i + 1]
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print("outputs from streaming session:")
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print(outputs_from_session)
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print("outputs from normal queries:")
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print(outputs_normal)
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self.assertEqual(outputs_from_session, outputs_normal)
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def run_session_control_with_branching(
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self, root_prompt, chunks_per_step, gen_len=16
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):
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