Prompts
LlamaParse use LLMs / LVMs under the hood, and allow you to customized / set your own prompt This is an incredibly powerful feature!
We support 3 different types of prompt, that can be used in combination of each other (it is possible to set all 3 of them)
user_prompt
If you want to change / transform the content with LlamaParse, you should use user_prompt
.
- Python
- API
parser = LlamaParse(
user_prompt="If output is not in english, translate it in english."
)
curl -X 'POST' \
'https://api.cloud.llamaindex.ai/api/parsing/upload' \
-H 'accept: application/json' \
-H 'Content-Type: multipart/form-data' \
-H "Authorization: Bearer $LLAMA_CLOUD_API_KEY" \
--form '>user_prompt="If output is not in english, translate it in english."' \
-F 'file=@/path/to/your/file.pdf;type=application/pdf'
system_prompt_append
If you need to change the way LlamaParse format the output document in some way, and want to keep the markdown output formatting, you should use system_prompt_append
. Doing so will not override our system_prompt
, and will append to it instead, allowing you to improve on our formatting.
- Python
- API
parser = LlamaParse(
system_prompt_append="For headings, do not output level 1 heading, start at level 2 (##)"
)
curl -X 'POST' \
'https://api.cloud.llamaindex.ai/api/parsing/upload' \
-H 'accept: application/json' \
-H 'Content-Type: multipart/form-data' \
-H "Authorization: Bearer $LLAMA_CLOUD_API_KEY" \
--form 'system_prompt_append="For headings, do not output level 1 heading, start at level 2 (##)"' \
-F 'file=@/path/to/your/file.pdf;type=application/pdf'
system_prompt
This allow you to override our system prompts. If you do not want the model to output Markdown and want to output something else, use it. However be mindful that it is easy to degrade LlamaParse performances with system_prompt
as this override our system_prompt and may impact our formatting correction (like table extractions).
- Python
- API
parser = LlamaParse(
system_prompt="Output the document as a Latex page. For table use HTML"
)
curl -X 'POST' \
'https://api.cloud.llamaindex.ai/api/parsing/upload' \
-H 'accept: application/json' \
-H 'Content-Type: multipart/form-data' \
-H "Authorization: Bearer $LLAMA_CLOUD_API_KEY" \
--form 'system_prompt="Output the document as a Latex page. For table use HTML"' \
-F 'file=@/path/to/your/file.pdf;type=application/pdf'