* fix(batches): count non-chat tokens and validate every model in batch file
Two security control bypasses on POST /v1/batches:
1. `_get_batch_job_input_file_usage` only summed tokens for
`body.messages` (chat completions). Embedding (`input`) and text
completion (`prompt`) batches reported zero, letting massive
non-chat workloads slip past TPM rate limits. Extend the counter
to handle string and list shapes for both fields.
2. The batch input file was forwarded to the upstream provider
without inspecting the models named inside the JSONL — only the
outer `model` query parameter was checked against the caller's
allowlist. A caller restricted to gpt-3.5 could submit a batch
targeting gpt-4o and the upstream would execute it under the
proxy's shared API key.
Add `_get_models_from_batch_input_file_content` (returns the
distinct `body.model` values) and call it from
`_enforce_batch_file_model_access` in the pre-call hook, which runs
each model through `can_key_call_model` so the same allowlist
semantics (wildcards, access groups, all-proxy-models, team aliases)
the proxy enforces on `/chat/completions` apply here too. Any
unauthorized model raises a 403 before the file is forwarded.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
* fix(batches): count pre-tokenized prompt/input shapes, classify 403 logs
Two follow-ups from the Greptile review on the batch validation PR:
1. P1 TPM bypass via integer token arrays. The OpenAI batch schema
accepts ``prompt`` and ``input`` as ``list[int]`` (a single
pre-tokenized prompt) or ``list[list[int]]`` (multiple) in addition
to the string and ``list[str]`` shapes. Pre-fix only the string
shapes were counted, so a caller could submit a batch with hundreds
of millions of pre-tokenized tokens and the rate limiter would
record zero. Extract the per-field logic into
``_count_prompt_or_input_tokens`` and count each int as one token.
2. P2 access-denial logs were indistinguishable from I/O failures.
``count_input_file_usage`` caught every exception under a generic
"Error counting input file usage" message, so an intentional 403
from ``_enforce_batch_file_model_access`` looked the same in the
logs as a missing file or a Prisma timeout. Catch ``HTTPException``
separately and log 403s at WARNING level with a security-relevant
message before re-raising.
Tests cover the new shapes: single ``list[int]``, ``list[list[int]]``
(the worst-case bypass vector), and embeddings ``input`` with
pre-tokenized arrays.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
