diff --git a/python/sglang/srt/speculative/eagle_utils.py b/python/sglang/srt/speculative/eagle_utils.py
index b804e7c6a..1a324000c 100644
--- a/python/sglang/srt/speculative/eagle_utils.py
+++ b/python/sglang/srt/speculative/eagle_utils.py
@@ -245,9 +245,10 @@ class EAGLEDraftInput(SpecInfo):
             )  # (b, topk)
             topk_cs_index, topk_cs_p = topk_cs.indices, topk_cs.values
 
-            selected_input_index = (
-                topk_cs_index.flatten() // self.topk
-            )  # shape: (b * topk)
+            selected_input_index = topk_cs_index.flatten() // self.topk + torch.arange(
+                0, batch.batch_size() * self.topk, step=self.topk, device="cuda"
+            ).repeat_interleave(self.topk)
+
             batch.spec_info.hidden_states = batch.spec_info.hidden_states[
                 selected_input_index, :
             ]
@@ -336,6 +337,7 @@ class EAGLEDraftInput(SpecInfo):
             triton.next_power_of_2(self.spec_steps + 1),
         )
 
+        batch.seq_lens_sum = sum(batch.seq_lens)
         batch.input_ids = self.verified_id
         self.verified_id = new_verified_id
 
@@ -439,7 +441,14 @@ class EAGLEDraftInput(SpecInfo):
         return kv_indices, cum_kv_seq_len, qo_indptr, None
 
     def merge_batch(self, spec_info: EAGLEDraftInput):
-
+        if self.hidden_states is None:
+            self.hidden_states = spec_info.hidden_states
+            self.verified_id = spec_info.verified_id
+            self.sample_output = spec_info.sample_output
+            self.prev_mode = spec_info.prev_mode
+            return
+        if spec_info.hidden_states is None:
+            return
         self.hidden_states = torch.cat(
             [self.hidden_states, spec_info.hidden_states], axis=0
         )
diff --git a/python/sglang/srt/speculative/eagle_worker.py b/python/sglang/srt/speculative/eagle_worker.py
index 16d54c43b..0e53506a8 100644
--- a/python/sglang/srt/speculative/eagle_worker.py
+++ b/python/sglang/srt/speculative/eagle_worker.py
@@ -169,6 +169,8 @@ class EAGLEWorker(TpModelWorker):
         if not isinstance(reqs, List):
             reqs = [reqs]
         for req in reqs:
+            if req.rid not in self.finish_extend_len:
+                continue
             req_len = (
                 len(req.origin_input_ids)
                 + len(req.output_ids)
diff --git a/test/srt/test_eagle_infer.py b/test/srt/test_eagle_infer.py
index 94ebc79ca..92127b8ef 100644
--- a/test/srt/test_eagle_infer.py
+++ b/test/srt/test_eagle_infer.py
@@ -1,8 +1,18 @@
+import multiprocessing
+import random
+import time
 import unittest
 
+import requests
 from transformers import AutoConfig, AutoTokenizer
 
 import sglang as sgl
+from sglang.srt.utils import kill_process_tree
+from sglang.test.test_utils import (
+    DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
+    DEFAULT_URL_FOR_TEST,
+    popen_launch_server,
+)
 
 
 class TestEAGLEEngine(unittest.TestCase):
@@ -64,5 +74,114 @@ class TestEAGLEEngine(unittest.TestCase):
         assert tokenizer.eos_token_id not in tokens
 
 
+prompts = [
+    "[INST] <<SYS>>\\nYou are a helpful assistant.\\n<</SYS>>\\nToday is a sunny day and I like[/INST]"
+    '[INST] <<SYS>>\\nYou are a helpful assistant.\\n<</SYS>>\\nWhat are the mental triggers in Jeff Walker\'s Product Launch Formula and "Launch" book?[/INST]',
+    "[INST] <<SYS>>\\nYou are a helpful assistant.\\n<</SYS>>\\nSummarize Russell Brunson's Perfect Webinar Script...[/INST]",
+    "[INST] <<SYS>>\\nYou are a helpful assistant.\\n<</SYS>>\\nwho are you?[/INST]",
+    "[INST] <<SYS>>\\nYou are a helpful assistant.\\n<</SYS>>\\nwhere are you from?[/INST]",
+]
+
+
+def process(server_url: str):
+    time.sleep(random.uniform(0, 2))
+    for prompt in prompts:
+        url = server_url
+        data = {
+            "model": "base",
+            "text": prompt,
+            "sampling_params": {
+                "temperature": 0,
+                "max_new_tokens": 1024,
+            },
+        }
+        response = requests.post(url, json=data)
+        assert response.status_code == 200
+
+
+def abort_process(server_url: str):
+    for prompt in prompts:
+        try:
+            time.sleep(1)
+            url = server_url
+            data = {
+                "model": "base",
+                "text": prompt,
+                "sampling_params": {
+                    "temperature": 0,
+                    "max_new_tokens": 1024,
+                },
+            }
+            # set timeout = 1s,mock disconnected
+            requests.post(url, json=data, timeout=1)
+        except:
+            pass
+
+
+class TestEAGLELaunchServer(unittest.TestCase):
+    @classmethod
+    def setUpClass(cls):
+        speculative_draft_model_path = "lmzheng/sglang-EAGLE-llama2-chat-7B"
+        cls.model = "meta-llama/Llama-2-7b-chat-hf"
+        cls.base_url = DEFAULT_URL_FOR_TEST
+        cls.process = popen_launch_server(
+            cls.model,
+            cls.base_url,
+            timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
+            other_args=[
+                "--speculative-algorithm",
+                "EAGLE",
+                "--speculative-draft-model-path",
+                speculative_draft_model_path,
+                "--speculative-num-steps",
+                "3",
+                "--speculative-eagle-topk",
+                "4",
+                "--speculative-num-draft-tokens",
+                "16",
+                "--served-model-name",
+                "base",
+            ],
+        )
+
+    @classmethod
+    def tearDownClass(cls):
+        kill_process_tree(cls.process.pid)
+
+    def test_eagle_server_concurrency(self):
+        concurrency = 4
+        processes = [
+            multiprocessing.Process(
+                target=process,
+                kwargs={"server_url": self.base_url + "/generate"},
+            )
+            for _ in range(concurrency)
+        ]
+        for worker in processes:
+            worker.start()
+        for p in processes:
+            p.join()
+
+    def test_eagle_server_request_abort(self):
+        concurrency = 4
+        processes = [
+            multiprocessing.Process(
+                target=process,
+                kwargs={"server_url": self.base_url + "/generate"},
+            )
+            for _ in range(concurrency)
+        ] + [
+            multiprocessing.Process(
+                target=abort_process,
+                kwargs={"server_url": self.base_url + "/generate"},
+            )
+            for _ in range(concurrency)
+        ]
+        for worker in processes:
+            worker.start()
+        for p in processes:
+            p.join()
+
+
 if __name__ == "__main__":
     unittest.main()