Databricks provides out-of-the-box access to a number of foundation models and can also serve as a gateway for external models hosted by a third party.
Databricks models do not support images, but they do support structured
outputs. Tool calling support is also very limited at present; too limited
for elmer
's tool calling features to work properly at all.
chat_databricks()
picks up on ambient Databricks credentials for a subset
of the Databricks client unified authentication
model. Specifically, it supports:
Personal access tokens
Service principals via OAuth (OAuth M2M)
User account via OAuth (OAuth U2M)
Authentication via the Databricks CLI
Posit Workbench-managed credentials
Arguments
- workspace
The URL of a Databricks workspace, e.g.
"https://example.cloud.databricks.com"
. Will use the value of the environment variableDATABRICKS_HOST
, if set.- 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.
- 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. Available foundational models include:databricks-dbrx-instruct
(the default)databricks-mixtral-8x7b-instruct
databricks-meta-llama-3-1-70b-instruct
databricks-meta-llama-3-1-405b-instruct
- token
An authentication token for the Databricks workspace, or
NULL
to use ambient credentials.- 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.
Value
A Chat object.
See also
Other chatbots:
chat_bedrock()
,
chat_claude()
,
chat_cortex()
,
chat_gemini()
,
chat_github()
,
chat_groq()
,
chat_ollama()
,
chat_openai()
,
chat_perplexity()