However, if you want more fine-grained control over the prompt, you can use the Anthropic wrapper - we will show and example of this as well.
The Anthropic wrapper however is deprecated, as all functionality can be achieved in a more generic way using ChatAnthropic.Prompting Best Practices‚ÄãAnthropic models have several prompting best practices compared to OpenAI models.No System MessagesAnthropic models are not trained on the concept of a "system message".
We have worked with the Anthropic team to handle them somewhat appropriately (a Human message with an admin tag)
but this is largely a hack and it is recommended that you do not use system messages.AI Messages Can ContinueA completion from Claude is a continuation of the last text in the string which allows you further control over Claude's output.
For example, putting words in Claude's mouth in a prompt like this:\n\nHuman: Tell me a joke about bears\n\nAssistant: What do you call a bear with no teeth?This will return a completion like this A gummy bear! instead of a whole new assistant message with a different random bear joke.ChatAnthropic‚ÄãChatAnthropic is a subclass of LangChain's ChatModel, meaning it works best with ChatPromptTemplate.
You can import this wrapper with the following code:from langchain.chat_models import ChatAnthropicmodel = ChatAnthropic()When working with ChatModels, it is preferred that you design your prompts as ChatPromptTemplates.
All functionality related to Anthropic models.
All functionality related to Anthropic models. ->: However, if you want more fine-grained control over the prompt, you can use the Anthropic wrapper - we will show and example of this as well.
The Anthropic wrapper however is deprecated, as all functionality can be achieved in a more generic way using ChatAnthropic.Prompting Best Practices‚ÄãAnthropic models have several prompting best practices compared to OpenAI models.No System MessagesAnthropic models are not trained on the concept of a "system message".
We have worked with the Anthropic team to handle them somewhat appropriately (a Human message with an admin tag)
but this is largely a hack and it is recommended that you do not use system messages.AI Messages Can ContinueA completion from Claude is a continuation of the last text in the string which allows you further control over Claude's output.
For example, putting words in Claude's mouth in a prompt like this:\n\nHuman: Tell me a joke about bears\n\nAssistant: What do you call a bear with no teeth?This will return a completion like this A gummy bear! instead of a whole new assistant message with a different random bear joke.ChatAnthropic‚ÄãChatAnthropic is a subclass of LangChain's ChatModel, meaning it works best with ChatPromptTemplate.
You can import this wrapper with the following code:from langchain.chat_models import ChatAnthropicmodel = ChatAnthropic()When working with ChatModels, it is preferred that you design your prompts as ChatPromptTemplates.