To use chat_ollama()
first download and install
ollama. Then install some models from the command line,
e.g. with ollama pull llama3.1
or ollama pull gemma2
.
This function is a lightweight wrapper around chat_openai()
with
the defaults tweaked for ollama.
Usage
chat_ollama(
system_prompt = NULL,
turns = NULL,
base_url = "http://localhost:11434/v1",
model,
seed = NULL,
api_args = list(),
echo = NULL
)
Arguments
- system_prompt
A system prompt to set the behavior of the assistant.
- turns
A list of turns to start the chat with (i.e., continuing a previous conversation). If not provided, the conversation begins from scratch. Do not provide non-
NULL
values for bothturns
andsystem_prompt
.Each message in the list should be a named list with at least
role
(usuallysystem
,user
, orassistant
, buttool
is also possible). Normally there is also acontent
field, which is a string.- base_url
The base URL to the endpoint; the default uses OpenAI.
- model
The model to use for the chat. The default,
NULL
, will pick a reasonable default, and tell you about. We strongly recommend explicitly choosing a model for all but the most casual use.- seed
Optional integer seed that ChatGPT uses to try and make output more reproducible.
- api_args
Named list of arbitrary extra arguments appended to the body of every chat API call.
- 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.
See also
Other chatbots:
chat_bedrock()
,
chat_claude()
,
chat_cortex()
,
chat_gemini()
,
chat_github()
,
chat_groq()
,
chat_openai()
,
chat_perplexity()