Merge branch 'main' into grit-prod

litellm/llms/prompt_templates/factory.py

@@ -700,13 +700,6 @@ def anthropic_messages_pt(messages: list):
         if assistant_content:
             new_messages.append({"role": "assistant", "content": assistant_content})
 
-        if (
-            msg_i < len(messages)
-            and messages[msg_i]["role"] != user_message_types
-            and messages[msg_i]["role"] != "assistant"
-        ):
-            raise Exception(f"Invalid role passed in - {messages[msg_i]}")
-
     if new_messages[0]["role"] != "user":
         if litellm.modify_params:
             new_messages.insert(

litellm/tests/test_completion.py

@@ -182,6 +182,7 @@ def test_completion_claude_3_function_call():
 
 def test_completion_claude_3_multi_turn_conversations():
     litellm.set_verbose = True
+    litellm.modify_params = True
     messages = [
         {"role": "assistant", "content": "?"},  # test first user message auto injection
         {"role": "user", "content": "Hi!"},

litellm/tests/test_python_38.py

@@ -1,6 +1,7 @@
 import sys, os, time
 import traceback, asyncio
 import pytest
+import subprocess
 
 sys.path.insert(
     0, os.path.abspath("../..")
@@ -16,3 +17,17 @@ def test_using_litellm():
         pytest.fail(
             f"Error occurred: {e}. Installing litellm on python3.8 failed please retry"
         )
+
+
+def test_litellm_proxy_server():
+    # Install the litellm[proxy] package
+    subprocess.run(["pip", "install", "litellm[proxy]"])
+
+    # Import the proxy_server module
+    try:
+        import litellm.proxy.proxy_server
+    except ImportError:
+        pytest.fail("Failed to import litellm.proxy_server")
+
+    # Assertion to satisfy the test, you can add other checks as needed
+    assert True

litellm/utils.py

@@ -2358,8 +2358,6 @@ def function_setup(
                 )
             if "logger_fn" in kwargs:
                 user_logger_fn = kwargs["logger_fn"]
-            # CRASH REPORTING TELEMETRY
-            crash_reporting(*args, **kwargs)
             # INIT LOGGER - for user-specified integrations
             model = args[0] if len(args) > 0 else kwargs.get("model", None)
             call_type = original_function.__name__
@@ -2464,25 +2462,6 @@ def post_call_processing(original_response, model):
         except Exception as e:
             raise e
 
-    def crash_reporting(*args, **kwargs):
-        if litellm.telemetry:
-            try:
-                model = args[0] if len(args) > 0 else kwargs["model"]
-                exception = kwargs["exception"] if "exception" in kwargs else None
-                custom_llm_provider = (
-                    kwargs["custom_llm_provider"]
-                    if "custom_llm_provider" in kwargs
-                    else None
-                )
-                safe_crash_reporting(
-                    model=model,
-                    exception=exception,
-                    custom_llm_provider=custom_llm_provider,
-                )  # log usage-crash details. Do not log any user details. If you want to turn this off, set `litellm.telemetry=False`.
-            except:
-                # [Non-Blocking Error]
-                pass
-
     @wraps(original_function)
     def wrapper(*args, **kwargs):
         # Prints Exactly what was passed to litellm function - don't execute any logic here - it should just print
@@ -2777,7 +2756,6 @@ def wrapper(*args, **kwargs):
                         kwargs["model"] = context_window_fallback_dict[model]
                     return original_function(*args, **kwargs)
             traceback_exception = traceback.format_exc()
-            crash_reporting(*args, **kwargs, exception=traceback_exception)
             end_time = datetime.datetime.now()
             # LOG FAILURE - handle streaming failure logging in the _next_ object, remove `handle_failure` once it's deprecated
             if logging_obj:
@@ -3199,7 +3177,6 @@ async def wrapper_async(*args, **kwargs):
             return result
         except Exception as e:
             traceback_exception = traceback.format_exc()
-            crash_reporting(*args, **kwargs, exception=traceback_exception)
             end_time = datetime.datetime.now()
             if logging_obj:
                 try:
@@ -8287,17 +8264,6 @@ def exception_type(
             raise original_exception
 
 
-####### CRASH REPORTING ################
-def safe_crash_reporting(model=None, exception=None, custom_llm_provider=None):
-    data = {
-        "model": model,
-        "exception": str(exception),
-        "custom_llm_provider": custom_llm_provider,
-    }
-    executor.submit(litellm_telemetry, data)
-    # threading.Thread(target=litellm_telemetry, args=(data,), daemon=True).start()
-
-
 def get_or_generate_uuid():
     temp_dir = os.path.join(os.path.abspath(os.sep), "tmp")
     uuid_file = os.path.join(temp_dir, "litellm_uuid.txt")

pyproject.toml

@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "litellm"
-version = "1.33.5"
+version = "1.33.8"
 description = "Library to easily interface with LLM API providers"
 authors = ["BerriAI"]
 license = "MIT"
@@ -31,11 +31,10 @@ pyyaml = {version = "^6.0.1", optional = true}
 rq = {version = "*", optional = true}
 orjson = {version = "^3.9.7", optional = true}
 apscheduler = {version = "^3.10.4", optional = true}
-streamlit = {version = "^1.29.0", optional = true}
 fastapi-sso = { version = "^0.10.0", optional = true }
 PyJWT = { version = "^2.8.0", optional = true }
 python-multipart = { version = "^0.0.6", optional = true }
-argon2-cffi = { version = "^23.1.0", optional = true }
+cryptography = { version = "41.0.3", optional = true }
 
 [tool.poetry.extras]
 proxy = [
@@ -50,15 +49,14 @@ proxy = [
     "fastapi-sso",
     "PyJWT",
     "python-multipart",
-    "argon2-cffi",
+    "cryptography"
 ]
 
 extra_proxy = [
     "prisma",
     "azure-identity",
     "azure-keyvault-secrets",
     "google-cloud-kms",
-    "streamlit",
     "resend"
 ]
 
@@ -77,7 +75,7 @@ requires = ["poetry-core", "wheel"]
 build-backend = "poetry.core.masonry.api"
 
 [tool.commitizen]
-version = "1.33.5"
+version = "1.33.8"
 version_files = [
     "pyproject.toml:^version"
 ]