Sends a follow-up message – typically an answer to the
clarifying_question from a previous turn – and returns an updated
result. The follow-up stays scoped to the same candidate tables that
statcan_chat() already found: it never re-runs statcan_find() and the
model still never proposes a table number of its own. To search the
catalogue again, start a new conversation with statcan_chat().
Arguments
- result
A
statcan_chat_resultreturned bystatcan_chat()(or by a previousstatcan_chat_continue()call).- message
One non-empty character string: your follow-up to the model.
- api_key
API key, re-resolved exactly as in
statcan_chat(). Defaults toSys.getenv("STATCANR_LLM_API_KEY"), then the provider's native variable. Not read fromoptions().
Value
An updated statcan_chat_result with the same candidates, a new
explanation and clarifying_question, and an extended conversation.
Details
The returned object is itself continuable, so you can chain several
follow-ups. The API key is re-resolved on each call (from the api_key
argument, the STATCANR_LLM_API_KEY environment variable, or the
provider's native variable) because, for safety, it is never stored in the
result object.
Examples
if (FALSE) { # \dontrun{
Sys.setenv(ANTHROPIC_API_KEY = "sk-ant-...")
r1 <- statcan_chat(
"R&D spending in Quebec",
provider = "anthropic", model = "claude-opus-4-8"
)
r1$clarifying_question
# Answer it and keep the same shortlist of candidates:
r2 <- statcan_chat_continue(r1, "annual data, since 2015")
r2$explanation
# Chain another follow-up:
r3 <- statcan_chat_continue(r2, "just the total, not by industry")
} # }