BerriAI/litellm · error · ValueError
{self.__class__.__name__} does not support ingesting an exis
Error message
{self.__class__.__name__} does not support ingesting an existing file_id. Upload file data or provide file_url instead. What it means
Capability guard in the RAG ingestion pipeline: a file_id was given (re-use an existing uploaded file) but this ingestion backend sets supports_existing_file_id=False, so it cannot attach previously uploaded files. Use file_data or file_url with this provider, or switch to a backend that supports file ids (e.g. OpenAI).
Source
Thrown at litellm/rag/ingestion/base_ingestion.py:325
file_url: URL to fetch file from
file_id: Existing file ID to use
Returns:
RAGIngestResponse with status and IDs
Raises:
ValueError: If no input source is provided
"""
# Step 1: Upload (raises ValueError if no input provided)
filename, file_content, content_type, existing_file_id = await self.upload(
file_data=file_data,
file_url=file_url,
file_id=file_id,
)
try:
if existing_file_id and not self.supports_existing_file_id:
raise ValueError(
f"{self.__class__.__name__} does not support ingesting an existing file_id. "
"Upload file data or provide file_url instead."
)
# Step 2: OCR (optional)
extracted_text: Final = await self.ocr(
file_content=file_content,
content_type=content_type,
)
# Step 3: Chunking
chunks: Final = self.chunk(
text=extracted_text,
file_content=file_content,
ocr_was_used=self.ocr_config is not None,
)
# Step 4: Embedding (optional - some providers handle this internally)View on GitHub (pinned to 77b7c6c40c)
Solutions
- Upload file data or provide a file_url instead of an existing file_id for this provider.
Defensive patterns
Strategy: validation
When it happens
Trigger: Thrown at litellm/rag/ingestion/base_ingestion.py:325 when the library encounters an invalid state.
Common situations: See trigger scenarios.
AI-assisted analysis of BerriAI/litellm@77b7c6c40c (2026-08-18).
Data as JSON: /api/errors/d48118b61e20d233.
Report an issue: GitHub.