except one more error type

llama_cloud_services/parse/base.py

@@ -1020,6 +1020,7 @@ class LlamaParse(BasePydanticReader):
                 httpx.ReadTimeout,
                 httpx.WriteTimeout,
                 httpx.HTTPStatusError,
+                httpx.RemoteProtocolError,
             ) as err:
                 error_count += 1
                 end = time.time()

llama_parse/pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "poetry.core.masonry.api"
 
 [tool.poetry]
 name = "llama-parse"
-version = "0.6.36"
+version = "0.6.38"
 description = "Parse files into RAG-Optimized formats."
 authors = ["Logan Markewich <logan@llamaindex.ai>"]
 license = "MIT"
@@ -13,7 +13,7 @@ packages = [{include = "llama_parse"}]
 
 [tool.poetry.dependencies]
 python = ">=3.9,<4.0"
-llama-cloud-services = ">=0.6.36"
+llama-cloud-services = ">=0.6.37"
 
 [tool.poetry.group.dev.dependencies]
 pytest = "^8.0.0"

poetry.lock

@@ -1925,14 +1925,14 @@ rapidfuzz = ">=3.9.0,<4.0.0"
 
 [[package]]
 name = "llama-cloud"
-version = "0.1.28"
+version = "0.1.29"
 description = ""
 optional = false
 python-versions = "<4,>=3.8"
 groups = ["main"]
 files = [
-    {file = "llama_cloud-0.1.28-py3-none-any.whl", hash = "sha256:7186721d8a5e9f8f36664f764f87a174367c0b8e99d366e0adaad308fc063c6f"},
-    {file = "llama_cloud-0.1.28.tar.gz", hash = "sha256:0aa381b0fce7edb5a302ccd9414a21606cf56dcd80446b9a364f62008092c19b"},
+    {file = "llama_cloud-0.1.29-py3-none-any.whl", hash = "sha256:893e347fe79fdc152653974340dbd9cc56bbd311501cf46e650215e3e3b1b4f3"},
+    {file = "llama_cloud-0.1.29.tar.gz", hash = "sha256:6995943ed4f1d1fe654f7ea5d01970611c5dc70602deaf93786b7f9545e70f1e"},
 ]
 
 [package.dependencies]
@@ -4623,4 +4623,4 @@ type = ["pytest-mypy"]
 [metadata]
 lock-version = "2.1"
 python-versions = ">=3.9,<4.0"
-content-hash = "c8a6d42d60b368292b999243caaa70c77cb2a4ae33882638b147ee0b3d17fb40"
+content-hash = "9325cc842a43f120837e0250c17c80097971f439070366d124306b4d0b05badf"

pyproject.toml

@@ -8,7 +8,7 @@ python_version = "3.10"
 
 [tool.poetry]
 name = "llama-cloud-services"
-version = "0.6.36"
+version = "0.6.38"
 description = "Tailored SDK clients for LlamaCloud services."
 authors = ["Logan Markewich <logan@runllama.ai>"]
 license = "MIT"
@@ -18,13 +18,13 @@ packages = [{include = "llama_cloud_services"}]
 [tool.poetry.dependencies]
 python = ">=3.9,<4.0"
 llama-index-core = ">=0.12.0"
-llama-cloud = "==0.1.28"
+llama-cloud = "==0.1.29"
 pydantic = ">=2.8,!=2.10"
 click = "^8.1.7"
 python-dotenv = "^1.0.1"
 eval-type-backport = {python = "<3.10", version = "^0.2.0"}
 platformdirs = "^4.3.7"
-tenacity = "^9.0.0"
+tenacity = ">=8.5.0, <10.0"
 
 [tool.poetry.group.dev.dependencies]
 pytest = "^8.0.0"

tests/extract/conftest.py

@@ -0,0 +1,41 @@
+import os
+from typing import List
+from llama_cloud_services.extract import LlamaExtract
+
+# Global storage for agents to cleanup
+_TEST_AGENTS_TO_CLEANUP: List[str] = []
+
+
+def pytest_sessionfinish(session, exitstatus):
+    """Hook that runs after all tests complete - cleanup agents here"""
+    print(
+        f"pytest_sessionfinish hook called! Agents to cleanup: {_TEST_AGENTS_TO_CLEANUP}"
+    )
+
+    if _TEST_AGENTS_TO_CLEANUP:
+        print("Creating cleanup client...")
+        # Create a fresh client just for cleanup
+        cleanup_client = LlamaExtract(
+            api_key=os.getenv("LLAMA_CLOUD_API_KEY"),
+            base_url=os.getenv("LLAMA_CLOUD_BASE_URL"),
+            project_id=os.getenv("LLAMA_CLOUD_PROJECT_ID"),
+            verbose=True,
+        )
+
+        for agent_id in _TEST_AGENTS_TO_CLEANUP:
+            try:
+                print(f"Deleting agent {agent_id}...")
+                cleanup_client.delete_agent(agent_id)
+                print(f"Cleaned up agent {agent_id}")
+            except Exception as e:
+                print(f"Warning: Failed to delete agent {agent_id}: {e}")
+
+        _TEST_AGENTS_TO_CLEANUP.clear()
+        print("Agent cleanup completed")
+    else:
+        print("No agents to cleanup")
+
+
+def register_agent_for_cleanup(agent_id: str):
+    """Register an agent ID for cleanup at the end of the test session"""
+    _TEST_AGENTS_TO_CLEANUP.append(agent_id)

tests/extract/test_extract_api.py

@@ -5,6 +5,7 @@ from pydantic import BaseModel
 
 from llama_cloud_services.extract import LlamaExtract, ExtractionAgent, SourceText
 from tests.extract.util import load_test_dotenv
+from .conftest import register_agent_for_cleanup
 
 load_test_dotenv()
 
@@ -58,7 +59,7 @@ def test_schema_dict():
 
 @pytest.fixture
 def test_agent(llama_extract, test_agent_name, test_schema_dict, request):
-    """Creates a test agent and cleans it up after the test"""
+    """Creates a test agent and collects it for cleanup at the end of all tests"""
     test_id = request.node.nodeid
     test_hash = hex(hash(test_id))[-8:]
     base_name = test_agent_name
@@ -86,13 +87,11 @@ def test_agent(llama_extract, test_agent_name, test_schema_dict, request):
         print(f"Warning: Failed to cleanup existing agent: {e}")
 
     agent = llama_extract.create_agent(name=name, data_schema=schema)
-    yield agent
 
-    # Cleanup after test
-    try:
-        llama_extract.delete_agent(agent.id)
-    except Exception as e:
-        print(f"Warning: Failed to delete agent {agent.id}: {e}")
+    # Add agent to cleanup list via conftest helper
+    register_agent_for_cleanup(agent.id)
+
+    yield agent
 
 
 class TestLlamaExtract: