Anthropic provides a number of chat based models under the Claude moniker. Note that a Claude Pro membership does not give you the ability to call models via the API; instead, you will need to sign up (and pay for) a developer account.
chat_anthropic(
system_prompt = NULL,
params = NULL,
max_tokens = deprecated(),
model = NULL,
api_args = list(),
base_url = "https://api.anthropic.com/v1",
beta_headers = character(),
api_key = anthropic_key(),
echo = NULL
)
models_anthropic(
base_url = "https://api.anthropic.com/v1",
api_key = anthropic_key()
)
A system prompt to set the behavior of the assistant.
Common model parameters, usually created by params()
.
Maximum number of tokens to generate before stopping.
The model to use for the chat (defaults to "claude-3-7-sonnet-latest").
We regularly update the default, so we strongly recommend explicitly specifying a model for anything other than casual use.
Use models_anthropic()
to see all options.
Named list of arbitrary extra arguments appended to the body
of every chat API call. Combined with the body object generated by ellmer
with modifyList()
.
The base URL to the endpoint; the default uses OpenAI.
Optionally, a character vector of beta headers to opt-in claude features that are still in beta.
API key to use for authentication.
You generally should not supply this directly, but instead set the ANTHROPIC_API_KEY
environment variable.
The best place to set this is in .Renviron
,
which you can easily edit by calling usethis::edit_r_environ()
.
One of the following options:
none
: don't emit any output (default when running in a function).
text
: echo text output as it streams in (default when running at
the console).
all
: echo all input and output.
Note this only affects the chat()
method.
A Chat object.
Other chatbots:
chat_aws_bedrock()
,
chat_azure_openai()
,
chat_cloudflare()
,
chat_cortex_analyst()
,
chat_databricks()
,
chat_deepseek()
,
chat_github()
,
chat_google_gemini()
,
chat_groq()
,
chat_huggingface()
,
chat_mistral()
,
chat_ollama()
,
chat_openai()
,
chat_openrouter()
,
chat_perplexity()
,
chat_portkey()
if (FALSE) { # has_credentials("claude")
chat <- chat_anthropic()
chat$chat("Tell me three jokes about statisticians")
}