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I'm loving parallel_chat_structured()
, though I'm running into a minor issue when I try to input images and I get an error unless I wrap each image in a list.
library(ellmer)
chat <- chat_openai()
#> Using model = "gpt-4.1".
r_image <- content_image_url("https://www.r-project.org/Rlogo.png")
py_image <- content_image_url("https://upload.wikimedia.org/wikipedia/commons/thumb/c/c3/Python-logo-notext.svg/640px-Python-logo-notext.svg.png")
parallel_chat_structured(
chat,
list(r_image, py_image),
type = type_object(
primary_shape = type_string(),
primary_colour = type_string()
)
)
#> Error in as.vector(x, "list"): cannot coerce type 'object' to vector of type 'list'
Workaround:
parallel_chat_structured(
chat,
list(list(r_image), list(py_image)),
type = type_object(
primary_shape = type_string(),
primary_colour = type_string()
)
)
#> [working] (0 + 0) -> 1 -> 1 | ■■■■■■■■■■■■■■■■ 50%
#> [working] (0 + 0) -> 0 -> 2 | ■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■ 100%
#> primary_shape primary_colour
#> 1 circle and letter grey and blue
#> 2 two interlocking abstract snake shapes blue and yellow
Created on 2025-06-28 with reprex v2.1.1
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