feat: optimize anthropic connection pool (#1066)

api/core/model_providers/models/llm/anthropic_model.py

-import decimal
 import logging
-from functools import wraps
 from typing import List, Optional, Any
 
 import anthropic
 from langchain.callbacks.manager import Callbacks
-from langchain.chat_models import ChatAnthropic
 from langchain.schema import LLMResult
 
 from core.model_providers.error import LLMBadRequestError, LLMAPIConnectionError, LLMAPIUnavailableError, \
@@ -13,6 +10,7 @@ from core.model_providers.error import LLMBadRequestError, LLMAPIConnectionError
 from core.model_providers.models.llm.base import BaseLLM
 from core.model_providers.models.entity.message import PromptMessage, MessageType
 from core.model_providers.models.entity.model_params import ModelMode, ModelKwargs
+from core.third_party.langchain.llms.anthropic_llm import AnthropicLLM
 
 
 class AnthropicModel(BaseLLM):
@@ -20,7 +18,7 @@ class AnthropicModel(BaseLLM):
 
     def _init_client(self) -> Any:
         provider_model_kwargs = self._to_model_kwargs_input(self.model_rules, self.model_kwargs)
-        return ChatAnthropic(
+        return AnthropicLLM(
             model=self.name,
             streaming=self.streaming,
             callbacks=self.callbacks,

api/core/model_providers/providers/anthropic_provider.py

@@ -5,7 +5,6 @@ from typing import Type, Optional
 
 import anthropic
 from flask import current_app
-from langchain.chat_models import ChatAnthropic
 from langchain.schema import HumanMessage
 
 from core.helper import encrypter
@@ -16,6 +15,7 @@ from core.model_providers.models.llm.anthropic_model import AnthropicModel
 from core.model_providers.models.llm.base import ModelType
 from core.model_providers.providers.base import BaseModelProvider, CredentialsValidateFailedError
 from core.model_providers.providers.hosted import hosted_model_providers
+from core.third_party.langchain.llms.anthropic_llm import AnthropicLLM
 from models.provider import ProviderType
 
 
@@ -92,7 +92,7 @@ class AnthropicProvider(BaseModelProvider):
             if 'anthropic_api_url' in credentials:
                 credential_kwargs['anthropic_api_url'] = credentials['anthropic_api_url']
 
-            chat_llm = ChatAnthropic(
+            chat_llm = AnthropicLLM(
                 model='claude-instant-1',
                 max_tokens_to_sample=10,
                 temperature=0,

api/core/third_party/langchain/llms/anthropic_llm.py

+from typing import Dict
+
+from httpx import Limits
+from langchain.chat_models import ChatAnthropic
+from langchain.utils import get_from_dict_or_env, check_package_version
+from pydantic import root_validator
+
+
+class AnthropicLLM(ChatAnthropic):
+    @root_validator()
+    def validate_environment(cls, values: Dict) -> Dict:
+        """Validate that api key and python package exists in environment."""
+        values["anthropic_api_key"] = get_from_dict_or_env(
+            values, "anthropic_api_key", "ANTHROPIC_API_KEY"
+        )
+        # Get custom api url from environment.
+        values["anthropic_api_url"] = get_from_dict_or_env(
+            values,
+            "anthropic_api_url",
+            "ANTHROPIC_API_URL",
+            default="https://api.anthropic.com",
+        )
+
+        try:
+            import anthropic
+
+            check_package_version("anthropic", gte_version="0.3")
+            values["client"] = anthropic.Anthropic(
+                base_url=values["anthropic_api_url"],
+                api_key=values["anthropic_api_key"],
+                timeout=values["default_request_timeout"],
+                connection_pool_limits=Limits(max_connections=200, max_keepalive_connections=100),
+            )
+            values["async_client"] = anthropic.AsyncAnthropic(
+                base_url=values["anthropic_api_url"],
+                api_key=values["anthropic_api_key"],
+                timeout=values["default_request_timeout"],
+            )
+            values["HUMAN_PROMPT"] = anthropic.HUMAN_PROMPT
+            values["AI_PROMPT"] = anthropic.AI_PROMPT
+            values["count_tokens"] = values["client"].count_tokens
+        except ImportError:
+            raise ImportError(
+                "Could not import anthropic python package. "
+                "Please it install it with `pip install anthropic`."
+            )
+        return values