Add model names for Anthropic and add ChatAnthropic (preferred over the deprecated Anthropic LLM).

src/backend/langflow/config.yaml

@@ -56,6 +56,7 @@ llms:
   - CTransformers
   - Cohere
   - Anthropic
+  - ChatAnthropic
 memories:
   - ConversationBufferMemory
   - ConversationSummaryMemory

src/backend/langflow/interface/custom_lists.py

@@ -11,12 +11,14 @@ from langchain import (
     text_splitter,
 )
 from langchain.agents import agent_toolkits
+from langchain.chat_models import ChatAnthropic
 from langchain.chat_models import ChatOpenAI
 
 from langflow.interface.importing.utils import import_class
 
 ## LLMs
 llm_type_to_cls_dict = llms.type_to_cls_dict
+llm_type_to_cls_dict["anthropic-chat"] = ChatAnthropic  # type: ignore
 llm_type_to_cls_dict["openai-chat"] = ChatOpenAI  # type: ignore
 
 ## Chains

src/backend/langflow/template/frontend_node/base.py

@@ -125,6 +125,9 @@ class FrontendNode(BaseModel):
         elif name == "ChatOpenAI" and key == "model_name":
             field.options = constants.CHAT_OPENAI_MODELS
             field.is_list = True
+        elif (name == "Anthropic" or name == "ChatAnthropic") and key == "model_name":
+            field.options = constants.ANTHROPIC_MODELS
+            field.is_list = True
         if "api_key" in key and "OpenAI" in str(name):
             field.display_name = "OpenAI API Key"
             field.required = False

src/backend/langflow/utils/constants.py

@@ -7,6 +7,20 @@ OPENAI_MODELS = [
 ]
 CHAT_OPENAI_MODELS = ["gpt-3.5-turbo", "gpt-4", "gpt-4-32k"]
 
+ANTHROPIC_MODELS = [
+    "claude-v1",  # largest model, ideal for a wide range of more complex tasks.
+    "claude-v1-100k",  # An enhanced version of claude-v1 with a 100,000 token (roughly 75,000 word) context window.
+    "claude-instant-v1",  # A smaller model with far lower latency, sampling at roughly 40 words/sec!
+    "claude-instant-v1-100k",  # An enhanced version of claude-instant-v1 with a 100,000 token context window that retains its performance.
+    # Specific sub-versions of the above models:
+    "claude-v1.3",  # Compared to claude-v1.2, it's more robust against red-team inputs, better at precise instruction-following, better at code, and better and non-English dialogue and writing.
+    "claude-v1.3-100k",  # An enhanced version of claude-v1.3 with a 100,000 token (roughly 75,000 word) context window.
+    "claude-v1.2",  # An improved version of claude-v1. It is slightly improved at general helpfulness, instruction following, coding, and other tasks. It is also considerably better with non-English languages. This model also has the ability to role play (in harmless ways) more consistently, and it defaults to writing somewhat longer and more thorough responses.
+    "claude-v1.0",  # An earlier version of claude-v1.
+    "claude-instant-v1.1",  # latest version of claude-instant-v1. It is better than claude-instant-v1.0 at a wide variety of tasks including writing, coding, and instruction following.
+    "claude-instant-v1.1-100k",  # An enhanced version of claude-instant-v1.1 with a 100,000 token context window that retains its lightning fast 40 word/sec performance.
+    "claude-instant-v1.0",  # An earlier version of claude-instant-v1.
+]
 
 DEFAULT_PYTHON_FUNCTION = """
 def python_function(text: str) -> str:

src/backend/langflow/utils/util.py

@@ -302,7 +302,9 @@ def format_dict(d, name: Optional[str] = None):
         elif name == "ChatOpenAI" and key == "model_name":
             value["options"] = constants.CHAT_OPENAI_MODELS
             value["list"] = True
-
+        elif (name == "Anthropic" or name == "ChatAnthropic") and key == "model_name":
+            value["options"] = constants.ANTHROPIC_MODELS
+            value["list"] = True
     return d
 
 

src/frontend/src/utils.ts

@@ -155,6 +155,7 @@ export const nodeIcons: {
   // SerpAPIWrapper: SerperIcon,
   // AZLyricsLoader: AzIcon,
   Anthropic: AnthropicIcon,
+  ChatAnthropic: AnthropicIcon,
   BingSearchAPIWrapper: BingIcon,
   BingSearchRun: BingIcon,
   Cohere: CohereIcon,