An unbounded read_file returned the entire file, which on a small-context
backend overflows the model's window. The backend then rejects the whole
request (llama-server: "request (N tokens) exceeds the available context
size"), which kills the turn — so reading everything at once is precisely
what makes the session stop. Observed live: one 100 KB source file is
~25k tokens against a 32k window with a ~6k-token prefix, and a session
read the same file three times and died on six 400s.
read_file now returns a page and says so:
- absent `limit` yields DEFAULT_READ_LINES (2000) rather than EOF
- MAX_READ_CHARS (64 KB) bounds the payload even when `limit` is
explicit, so minified or generated files can't defeat the line cap
- `truncated` and `nextOffset` tell the caller it has a partial view
and exactly where to resume; the tool description explains both
MAX_READ_SIZE (10 MB) is untouched: it is a process guard against slurping
huge or binary blobs, not a context guard, and at ~2.5M tokens it never
fires on the files that actually overflow a window.
Also clears pre-existing clippy failures in trident.rs that blocked
-D warnings on every edit to this crate.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01Q9McEEH32ZtyM62GSXVSyJ
(cherry picked from commit c796d7e5eedc66b0cb37bb6823ec772f8ceef9cf)
- Remove retry_after: None from ApiError::Api structs in openai_compat.rs (field was removed)
- Remove SlashCommand::Team parse arm (variant was removed from enum)
- Add config_load_error_kind: None to doctor path StatusContext initializer
- Add Thinking arm to all ContentBlock match blocks in trident.rs
- Remove cargo fmt drift across commands, config, compact, tools, trident
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