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"Anthropic" (Service Connection)

New in 14[Experimental]
This service connection requires LLM access »

Use the Anthropic API with the Wolfram Language.

Connecting & Authenticating

ServiceConnect["Anthropic"] creates a connection to the Anthropic API. If a previously saved connection can be found, it will be used; otherwise, a new authentication request will be launched.
Use of this connection requires internet access and an Anthropic account.

Requests

ServiceExecute["Anthropic","request",params] sends a request to the Anthropic API using parameters params. The following gives possible requests.

Text

Request:

"Completion" — create text completion for a given prompt

Parameters:
  • "Prompt"(required)the prompt for which to generate completions
    "MaxTokens"Automaticmaximum number of tokens to generate
    "Metadata"Automaticmetadata about the request
    "Model"Automaticname of the model to use
    "StopTokens"Noneup to four strings where the API will stop generating further tokens
    "Stream"Falsereturn the result as server-sent events
    "Temperature"Automaticsampling temperature (between 0 and 1)
    "TopProbabilities"Automaticsample only among the k highest-probability classes
    "TotalProbabilityCutoff"Nonesample among the most probable classes with an accumulated probability of at least p (nucleus sampling)
    • Request:

    "Chat" — create a response for the given chat conversation

    Parameters:
  • "Messages"(required)a list of messages in the conversation, each given as an association with "Role" and "Content" keys
    "MaxTokens"Automaticmaximum number of tokens to generate
    "Metadata"Automaticmetadata about the request
    "Model"Automaticname of the model to use
    "StopTokens"Noneup to four strings where the API will stop generating further tokens
    "Stream"Falsereturn the result as server-sent events
    "Temperature"Automaticsampling temperature (between 0 and 1)
    "TopProbabilities"Automaticsample only among the k highest-probability classes
    "TotalProbabilityCutoff"Nonesample among the most probable classes with an accumulated probability of at least p (nucleus sampling)

    • Examples

    open allclose all

    Basic Examples  (1)Summary of the most common use cases

    Create a new connection:

    In[1]:=1
    ✖
    https://wolfram.com/xid/0coo48mbltqwge57m5v8-si1ll0
    Out[1]=1

    Complete a piece of text:

    In[5]:=5
    ✖
    https://wolfram.com/xid/0coo48mbltqwge57m5v8-nu4q7j
    Out[5]=5

    Generate a response from a chat:

    In[1]:=1
    ✖
    https://wolfram.com/xid/0coo48mbltqwge57m5v8-spdf01
    Out[1]=1

    Scope  (2)Survey of the scope of standard use cases

    Completion  (1)

    Change the sampling temperature:

    In[1]:=1
    ✖
    https://wolfram.com/xid/0coo48mbltqwge57m5v8-cop6gz
    Out[1]=1

    Decrease the number of characters returned:

    In[2]:=2
    ✖
    https://wolfram.com/xid/0coo48mbltqwge57m5v8-e8h6in
    Out[2]=2

    Chat  (1)

    Respond to a chat containing multiple messages:

    In[1]:=1
    ✖
    https://wolfram.com/xid/0coo48mbltqwge57m5v8-2ypp
    Out[1]=1

    Change the sampling temperature:

    In[2]:=2
    ✖
    https://wolfram.com/xid/0coo48mbltqwge57m5v8-dl4vgq
    Out[2]=2

    Increase the number of characters returned:

    In[3]:=3
    ✖
    https://wolfram.com/xid/0coo48mbltqwge57m5v8-dhgasa
    Out[3]=3

    Return multiple completions:

    In[4]:=4
    ✖
    https://wolfram.com/xid/0coo48mbltqwge57m5v8-dmb0l9
    Out[4]=4

    Allow the model to use an LLMTool:

    In[5]:=5
    ✖
    https://wolfram.com/xid/0coo48mbltqwge57m5v8-gvlfzg
    Out[5]=5
    In[6]:=6
    ✖
    https://wolfram.com/xid/0coo48mbltqwge57m5v8-oqmgzn
    Out[6]=6