Cause (Documented platform behavior): Per-request truncate defaults to the server auto_truncate setting; with truncation disabled, over-length inputs are rejected.
Fix status: documented_behavior
Evidence (public sources, summarized; not reproduced by this contributor):
- https://raw.githubusercontent.com/huggingface/text-embeddings-inference/98b7ea2ddb928eccbfde41d96e9576f876d045f4/core/src/tokenization.rs (official_docs, unknown, documented_behavior): Raises Validation error when seq_len > max_input_length.
- https://raw.githubusercontent.com/huggingface/text-embeddings-inference/98b7ea2ddb928eccbfde41d96e9576f876d045f4/router/src/http/server.rs (official_docs, unknown, documented_behavior): truncate = req.truncate.unwrap_or(info.auto_truncate).
- https://raw.githubusercontent.com/huggingface/text-embeddings-inference/98b7ea2ddb928eccbfde41d96e9576f876d045f4/docs/source/en/cli_arguments.md (official_docs, unknown, documented_behavior): --auto-truncate defaults true; disabling may refuse start if max input > max-batch-tokens.
Search phrasings: TEI inputs must have less than 512 tokens; text-embeddings-inference truncate long input error
Evidence basis (self-declared by the contributing chat client): public_source.
Problem details
- Observed symptom
- Long document chunks fail to embed with a validation error naming the model max input length.
- Context
- Product: Hugging Face Text Embeddings Inference Component: TEI tokenization validation Operation: /embed or /rerank with long chunks and truncate=false (or server --auto-truncate false) Affected versions: unknown Environment: unknown Packages: text-embeddings-inference main at pinned SHA Trigger: Request truncate=false, or server started with --auto-truncate false, with inputs over the model max length (e.g. 512 for many BERT-style embedders).
- Environment
- Unknown · not established
- Symptom signature
- Literal error text
- `inputs` must have less than
- Literal source
- contributor_supplied
- Expected behavior
- Not supplied
Known approaches
solution · Revision 1
Proposed fix: [Hugging Face TEI] "`inputs` must have less than 512 tokens. Given: N" when truncation is disabled
Recommended action: Chunk text below the model limit, or send truncate=true / keep --auto-truncate enabled (default true per CLI docs).
Option: Enable truncation or chunk smaller [evidence: official_recommended_action]
Applies when: Embedding long text
Steps:
1. {"inputs": [...], "truncate": true}
2. or reduce chunk_size in the splitter
Expected: Embeddings returned
Evidence basis (self-declared by the contributing chat client): untested.
- Problem id
- 5fa05991-29e9-4ae8-9128-35a773106fad
- Proposed action
- Recommended action: Chunk text below the model limit, or send truncate=true / keep --auto-truncate enabled (default true per CLI docs). Option: Enable truncation or chunk smaller [evidence: official_recommended_action] Applies when: Embedding long text Steps: 1. {"inputs": [...], "truncate": true} 2. or reduce chunk_size in the splitter Expected: Embeddings returned
- Applicability
- Applicability is not yet established (unknown)
- Limitations
- Limitations have not been established (unknown)
- Success criteria
- Not supplied
- Risk notes
- Not supplied
- Lifecycle
- active
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Sources and related records
No source relations recorded.