forked from phoenix/litellm-mirror
548 lines
21 KiB
Python
548 lines
21 KiB
Python
# @pytest.mark.skip(reason="AWS Suspended Account")
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import sys, os
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import traceback
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from dotenv import load_dotenv
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load_dotenv()
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import os, io
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sys.path.insert(
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0, os.path.abspath("../..")
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) # Adds the parent directory to the system path
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import pytest
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import litellm
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from litellm import embedding, completion, completion_cost, Timeout, ModelResponse
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from litellm import RateLimitError
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from litellm.llms.custom_httpx.http_handler import HTTPHandler, AsyncHTTPHandler
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from unittest.mock import patch, AsyncMock, Mock
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# litellm.num_retries = 3
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litellm.cache = None
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litellm.success_callback = []
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user_message = "Write a short poem about the sky"
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messages = [{"content": user_message, "role": "user"}]
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@pytest.fixture(autouse=True)
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def reset_callbacks():
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print("\npytest fixture - resetting callbacks")
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litellm.success_callback = []
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litellm._async_success_callback = []
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litellm.failure_callback = []
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litellm.callbacks = []
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def test_completion_bedrock_claude_completion_auth():
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print("calling bedrock claude completion params auth")
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import os
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aws_access_key_id = os.environ["AWS_ACCESS_KEY_ID"]
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aws_secret_access_key = os.environ["AWS_SECRET_ACCESS_KEY"]
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aws_region_name = os.environ["AWS_REGION_NAME"]
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os.environ.pop("AWS_ACCESS_KEY_ID", None)
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os.environ.pop("AWS_SECRET_ACCESS_KEY", None)
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os.environ.pop("AWS_REGION_NAME", None)
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try:
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response = completion(
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model="bedrock/anthropic.claude-instant-v1",
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messages=messages,
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max_tokens=10,
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temperature=0.1,
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aws_access_key_id=aws_access_key_id,
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aws_secret_access_key=aws_secret_access_key,
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aws_region_name=aws_region_name,
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)
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# Add any assertions here to check the response
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print(response)
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os.environ["AWS_ACCESS_KEY_ID"] = aws_access_key_id
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os.environ["AWS_SECRET_ACCESS_KEY"] = aws_secret_access_key
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os.environ["AWS_REGION_NAME"] = aws_region_name
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except RateLimitError:
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pass
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except Exception as e:
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pytest.fail(f"Error occurred: {e}")
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# test_completion_bedrock_claude_completion_auth()
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def test_completion_bedrock_claude_2_1_completion_auth():
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print("calling bedrock claude 2.1 completion params auth")
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import os
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aws_access_key_id = os.environ["AWS_ACCESS_KEY_ID"]
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aws_secret_access_key = os.environ["AWS_SECRET_ACCESS_KEY"]
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aws_region_name = os.environ["AWS_REGION_NAME"]
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os.environ.pop("AWS_ACCESS_KEY_ID", None)
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os.environ.pop("AWS_SECRET_ACCESS_KEY", None)
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os.environ.pop("AWS_REGION_NAME", None)
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try:
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response = completion(
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model="bedrock/anthropic.claude-v2:1",
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messages=messages,
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max_tokens=10,
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temperature=0.1,
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aws_access_key_id=aws_access_key_id,
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aws_secret_access_key=aws_secret_access_key,
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aws_region_name=aws_region_name,
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)
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# Add any assertions here to check the response
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print(response)
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os.environ["AWS_ACCESS_KEY_ID"] = aws_access_key_id
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os.environ["AWS_SECRET_ACCESS_KEY"] = aws_secret_access_key
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os.environ["AWS_REGION_NAME"] = aws_region_name
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except RateLimitError:
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pass
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except Exception as e:
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pytest.fail(f"Error occurred: {e}")
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# test_completion_bedrock_claude_2_1_completion_auth()
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def test_completion_bedrock_claude_external_client_auth():
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print("\ncalling bedrock claude external client auth")
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import os
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aws_access_key_id = os.environ["AWS_ACCESS_KEY_ID"]
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aws_secret_access_key = os.environ["AWS_SECRET_ACCESS_KEY"]
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aws_region_name = os.environ["AWS_REGION_NAME"]
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os.environ.pop("AWS_ACCESS_KEY_ID", None)
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os.environ.pop("AWS_SECRET_ACCESS_KEY", None)
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os.environ.pop("AWS_REGION_NAME", None)
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try:
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import boto3
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litellm.set_verbose = True
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bedrock = boto3.client(
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service_name="bedrock-runtime",
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region_name=aws_region_name,
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aws_access_key_id=aws_access_key_id,
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aws_secret_access_key=aws_secret_access_key,
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endpoint_url=f"https://bedrock-runtime.{aws_region_name}.amazonaws.com",
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)
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response = completion(
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model="bedrock/anthropic.claude-instant-v1",
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messages=messages,
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max_tokens=10,
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temperature=0.1,
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aws_bedrock_client=bedrock,
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)
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# Add any assertions here to check the response
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print(response)
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os.environ["AWS_ACCESS_KEY_ID"] = aws_access_key_id
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os.environ["AWS_SECRET_ACCESS_KEY"] = aws_secret_access_key
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os.environ["AWS_REGION_NAME"] = aws_region_name
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except RateLimitError:
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pass
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except Exception as e:
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pytest.fail(f"Error occurred: {e}")
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# test_completion_bedrock_claude_external_client_auth()
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@pytest.mark.skip(reason="Expired token, need to renew")
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def test_completion_bedrock_claude_sts_client_auth():
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print("\ncalling bedrock claude external client auth")
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import os
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aws_access_key_id = os.environ["AWS_TEMP_ACCESS_KEY_ID"]
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aws_secret_access_key = os.environ["AWS_TEMP_SECRET_ACCESS_KEY"]
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aws_region_name = os.environ["AWS_REGION_NAME"]
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aws_role_name = os.environ["AWS_TEMP_ROLE_NAME"]
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try:
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import boto3
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litellm.set_verbose = True
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response = completion(
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model="bedrock/anthropic.claude-instant-v1",
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messages=messages,
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max_tokens=10,
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temperature=0.1,
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aws_region_name=aws_region_name,
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aws_access_key_id=aws_access_key_id,
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aws_secret_access_key=aws_secret_access_key,
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aws_role_name=aws_role_name,
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aws_session_name="my-test-session",
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)
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response = embedding(
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model="cohere.embed-multilingual-v3",
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input=["hello world"],
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aws_region_name="us-east-1",
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aws_access_key_id=aws_access_key_id,
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aws_secret_access_key=aws_secret_access_key,
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aws_role_name=aws_role_name,
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aws_session_name="my-test-session",
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)
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response = completion(
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model="gpt-3.5-turbo",
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messages=messages,
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aws_region_name="us-east-1",
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aws_access_key_id=aws_access_key_id,
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aws_secret_access_key=aws_secret_access_key,
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aws_role_name=aws_role_name,
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aws_session_name="my-test-session",
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)
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# Add any assertions here to check the response
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print(response)
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except RateLimitError:
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pass
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except Exception as e:
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pytest.fail(f"Error occurred: {e}")
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# test_completion_bedrock_claude_sts_client_auth()
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@pytest.mark.skip(reason="We don't have Circle CI OIDC credentials as yet")
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def test_completion_bedrock_claude_sts_oidc_auth():
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print("\ncalling bedrock claude with oidc auth")
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import os
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aws_web_identity_token = "oidc/circleci_v2/"
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aws_region_name = os.environ["AWS_REGION_NAME"]
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aws_role_name = os.environ["AWS_TEMP_ROLE_NAME"]
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try:
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litellm.set_verbose = True
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response = completion(
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model="bedrock/anthropic.claude-instant-v1",
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messages=messages,
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max_tokens=10,
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temperature=0.1,
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aws_region_name=aws_region_name,
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aws_web_identity_token=aws_web_identity_token,
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aws_role_name=aws_role_name,
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aws_session_name="my-test-session",
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)
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# Add any assertions here to check the response
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print(response)
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except RateLimitError:
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pass
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except Exception as e:
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pytest.fail(f"Error occurred: {e}")
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def test_bedrock_claude_3():
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try:
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litellm.set_verbose = True
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data = {
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"max_tokens": 100,
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"stream": False,
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"temperature": 0.3,
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"messages": [
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{"role": "user", "content": "Hi"},
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{"role": "assistant", "content": "Hi"},
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{
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"role": "user",
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"content": [
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{"text": "describe this image", "type": "text"},
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{
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"image_url": {
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"detail": "high",
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"url": "data:image/png;base64,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",
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},
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"type": "image_url",
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},
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],
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},
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],
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}
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response: ModelResponse = completion(
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model="bedrock/anthropic.claude-3-sonnet-20240229-v1:0",
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num_retries=3,
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# messages=messages,
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# max_tokens=10,
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# temperature=0.78,
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**data,
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)
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# Add any assertions here to check the response
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assert len(response.choices) > 0
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assert len(response.choices[0].message.content) > 0
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except RateLimitError:
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pass
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except Exception as e:
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pytest.fail(f"Error occurred: {e}")
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def test_bedrock_claude_3_tool_calling():
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try:
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litellm.set_verbose = True
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tools = [
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{
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"type": "function",
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"function": {
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"name": "get_current_weather",
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"description": "Get the current weather in a given location",
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"parameters": {
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"type": "object",
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"properties": {
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"location": {
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"type": "string",
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"description": "The city and state, e.g. San Francisco, CA",
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},
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"unit": {
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"type": "string",
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"enum": ["celsius", "fahrenheit"],
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},
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},
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"required": ["location"],
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},
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},
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}
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]
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messages = [
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{
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"role": "user",
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"content": "What's the weather like in Boston today in fahrenheit?",
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}
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]
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response: ModelResponse = completion(
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model="bedrock/anthropic.claude-3-sonnet-20240229-v1:0",
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messages=messages,
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tools=tools,
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tool_choice="auto",
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)
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print(f"response: {response}")
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# Add any assertions here to check the response
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assert isinstance(response.choices[0].message.tool_calls[0].function.name, str)
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assert isinstance(
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response.choices[0].message.tool_calls[0].function.arguments, str
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)
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messages.append(
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response.choices[0].message.model_dump()
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) # Add assistant tool invokes
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tool_result = (
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'{"location": "Boston", "temperature": "72", "unit": "fahrenheit"}'
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)
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# Add user submitted tool results in the OpenAI format
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messages.append(
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{
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"tool_call_id": response.choices[0].message.tool_calls[0].id,
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"role": "tool",
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"name": response.choices[0].message.tool_calls[0].function.name,
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"content": tool_result,
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}
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)
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# In the second response, Claude should deduce answer from tool results
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second_response = completion(
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model="bedrock/anthropic.claude-3-sonnet-20240229-v1:0",
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messages=messages,
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tools=tools,
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tool_choice="auto",
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)
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print(f"second response: {second_response}")
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assert isinstance(second_response.choices[0].message.content, str)
|
|
except RateLimitError:
|
|
pass
|
|
except Exception as e:
|
|
pytest.fail(f"Error occurred: {e}")
|
|
|
|
|
|
def encode_image(image_path):
|
|
import base64
|
|
|
|
with open(image_path, "rb") as image_file:
|
|
return base64.b64encode(image_file.read()).decode("utf-8")
|
|
|
|
|
|
@pytest.mark.skip(
|
|
reason="we already test claude-3, this is just another way to pass images"
|
|
)
|
|
def test_completion_claude_3_base64():
|
|
try:
|
|
litellm.set_verbose = True
|
|
litellm.num_retries = 3
|
|
image_path = "../proxy/cached_logo.jpg"
|
|
# Getting the base64 string
|
|
base64_image = encode_image(image_path)
|
|
resp = litellm.completion(
|
|
model="bedrock/anthropic.claude-3-sonnet-20240229-v1:0",
|
|
messages=[
|
|
{
|
|
"role": "user",
|
|
"content": [
|
|
{"type": "text", "text": "Whats in this image?"},
|
|
{
|
|
"type": "image_url",
|
|
"image_url": {
|
|
"url": "data:image/jpeg;base64," + base64_image
|
|
},
|
|
},
|
|
],
|
|
}
|
|
],
|
|
)
|
|
|
|
prompt_tokens = resp.usage.prompt_tokens
|
|
raise Exception("it worked!")
|
|
except Exception as e:
|
|
if "500 Internal error encountered.'" in str(e):
|
|
pass
|
|
else:
|
|
pytest.fail(f"An exception occurred - {str(e)}")
|
|
|
|
|
|
def test_provisioned_throughput():
|
|
try:
|
|
litellm.set_verbose = True
|
|
import botocore, json, io
|
|
import botocore.session
|
|
from botocore.stub import Stubber
|
|
|
|
bedrock_client = botocore.session.get_session().create_client(
|
|
"bedrock-runtime", region_name="us-east-1"
|
|
)
|
|
|
|
expected_params = {
|
|
"accept": "application/json",
|
|
"body": '{"prompt": "\\n\\nHuman: Hello, how are you?\\n\\nAssistant: ", '
|
|
'"max_tokens_to_sample": 256}',
|
|
"contentType": "application/json",
|
|
"modelId": "provisioned-model-arn",
|
|
}
|
|
response_from_bedrock = {
|
|
"body": io.StringIO(
|
|
json.dumps(
|
|
{
|
|
"completion": " Here is a short poem about the sky:",
|
|
"stop_reason": "max_tokens",
|
|
"stop": None,
|
|
}
|
|
)
|
|
),
|
|
"contentType": "contentType",
|
|
"ResponseMetadata": {"HTTPStatusCode": 200},
|
|
}
|
|
|
|
with Stubber(bedrock_client) as stubber:
|
|
stubber.add_response(
|
|
"invoke_model",
|
|
service_response=response_from_bedrock,
|
|
expected_params=expected_params,
|
|
)
|
|
response = litellm.completion(
|
|
model="bedrock/anthropic.claude-instant-v1",
|
|
model_id="provisioned-model-arn",
|
|
messages=[{"content": "Hello, how are you?", "role": "user"}],
|
|
aws_bedrock_client=bedrock_client,
|
|
)
|
|
print("response stubbed", response)
|
|
except Exception as e:
|
|
pytest.fail(f"Error occurred: {e}")
|
|
|
|
|
|
# test_provisioned_throughput()
|
|
|
|
|
|
def test_completion_bedrock_mistral_completion_auth():
|
|
print("calling bedrock mistral completion params auth")
|
|
import os
|
|
|
|
# aws_access_key_id = os.environ["AWS_ACCESS_KEY_ID"]
|
|
# aws_secret_access_key = os.environ["AWS_SECRET_ACCESS_KEY"]
|
|
# aws_region_name = os.environ["AWS_REGION_NAME"]
|
|
|
|
# os.environ.pop("AWS_ACCESS_KEY_ID", None)
|
|
# os.environ.pop("AWS_SECRET_ACCESS_KEY", None)
|
|
# os.environ.pop("AWS_REGION_NAME", None)
|
|
try:
|
|
response: ModelResponse = completion(
|
|
model="bedrock/mistral.mistral-7b-instruct-v0:2",
|
|
messages=messages,
|
|
max_tokens=10,
|
|
temperature=0.1,
|
|
) # type: ignore
|
|
# Add any assertions here to check the response
|
|
assert len(response.choices) > 0
|
|
assert len(response.choices[0].message.content) > 0
|
|
|
|
# os.environ["AWS_ACCESS_KEY_ID"] = aws_access_key_id
|
|
# os.environ["AWS_SECRET_ACCESS_KEY"] = aws_secret_access_key
|
|
# os.environ["AWS_REGION_NAME"] = aws_region_name
|
|
except RateLimitError:
|
|
pass
|
|
except Exception as e:
|
|
pytest.fail(f"Error occurred: {e}")
|
|
|
|
|
|
# test_completion_bedrock_mistral_completion_auth()
|
|
|
|
|
|
def test_bedrock_ptu():
|
|
"""
|
|
Check if a url with 'modelId' passed in, is created correctly
|
|
|
|
Reference: https://github.com/BerriAI/litellm/issues/3805
|
|
"""
|
|
client = HTTPHandler()
|
|
|
|
with patch.object(client, "post", new=Mock()) as mock_client_post:
|
|
litellm.set_verbose = True
|
|
from openai.types.chat import ChatCompletion
|
|
|
|
model_id = (
|
|
"arn:aws:bedrock:us-west-2:888602223428:provisioned-model/8fxff74qyhs3"
|
|
)
|
|
try:
|
|
response = litellm.completion(
|
|
model="bedrock/anthropic.claude-instant-v1",
|
|
messages=[{"role": "user", "content": "What's AWS?"}],
|
|
model_id=model_id,
|
|
client=client,
|
|
)
|
|
except Exception as e:
|
|
pass
|
|
|
|
assert "url" in mock_client_post.call_args.kwargs
|
|
assert (
|
|
mock_client_post.call_args.kwargs["url"]
|
|
== "https://bedrock-runtime.us-west-2.amazonaws.com/model/arn%3Aaws%3Abedrock%3Aus-west-2%3A888602223428%3Aprovisioned-model%2F8fxff74qyhs3/invoke"
|
|
)
|
|
mock_client_post.assert_called_once()
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_bedrock_extra_headers():
|
|
"""
|
|
Check if a url with 'modelId' passed in, is created correctly
|
|
|
|
Reference: https://github.com/BerriAI/litellm/issues/3805
|
|
"""
|
|
client = AsyncHTTPHandler()
|
|
|
|
with patch.object(client, "post", new=AsyncMock()) as mock_client_post:
|
|
litellm.set_verbose = True
|
|
from openai.types.chat import ChatCompletion
|
|
|
|
try:
|
|
response = await litellm.acompletion(
|
|
model="anthropic.claude-3-sonnet-20240229-v1:0",
|
|
messages=[{"role": "user", "content": "What's AWS?"}],
|
|
client=client,
|
|
extra_headers={"test": "hello world"},
|
|
)
|
|
except Exception as e:
|
|
pass
|
|
|
|
print(f"mock_client_post.call_args: {mock_client_post.call_args}")
|
|
assert "test" in mock_client_post.call_args.kwargs["headers"]
|
|
assert mock_client_post.call_args.kwargs["headers"]["test"] == "hello world"
|
|
mock_client_post.assert_called_once()
|