Cloudflare works AI hosts a variety of open-source AI models. To use the Cloudflare API, you must have an Account ID and an Access Token, which you can obtain by following these instructions.
Usage
chat_cloudflare(
account = cloudflare_account(),
system_prompt = NULL,
params = NULL,
api_key = cloudflare_key(),
model = NULL,
api_args = list(),
echo = NULL
)
Arguments
- account
The Cloudflare account ID. Taken from the
CLOUDFLARE_ACCOUNT_ID
env var, if defined.- system_prompt
A system prompt to set the behavior of the assistant.
- params
Common model parameters, usually created by
params()
.- api_key
The API key to use for authentication. You generally should not supply this directly, but instead set the
HUGGINGFACE_API_KEY
environment variable.- model
The model to use for the chat (defaults to "meta-llama/Llama-3.3-70b-instruct-fp8-fast"). We regularly update the default, so we strongly recommend explicitly specifying a model for anything other than casual use.
- api_args
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()
.- echo
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.
Value
A Chat object.
See also
Other chatbots:
chat_anthropic()
,
chat_aws_bedrock()
,
chat_azure_openai()
,
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()