context.md and loop.json `context`, spec 3.0.0-draft: - A stub names only a result in the request being built. A chat on the server sends no earlier reply's tool results, so a read in the next reply is answered in full there; the CLI, which resends every result, keeps stubbing across steps. Said for reads and for repeated listings alike. - The compaction table is drawn from the reads the summary covers: the full reads since the previous compaction in turns still in the history, whether or not the request still carries them. A turn taken back takes its reads with it. The CLI's dedupe table is exactly that set; a chat finds it in what it stored. - Ids are the result's number in the session, in hex, at least 4 digits (#0001); the examples and the prompt block now use such ids. - A bracket names the path as the call gave it; what identifies a file is its absolute path. Conformance `context`: a `reply` step (a request carrying none of the results so far) and a case for both rules. The CLI's runner keeps the history apart from the request; compactionTable takes the reads. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
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Context hygiene
Spec 3.0.0. What a session does to keep tool results from filling the model's context — the same in
a chat and in an agent session, in both projects. The texts and numbers are loop.json context;
the cases are conformance/context.json; what the model is told is prompts/blocks/context.md.
The one rule
Every measure acts when a result is inserted. Nothing already sent to the model is ever rewritten. Changing earlier context invalidates the prompt cache from that point on: a local server processes everything after it again, and a cloud API charges full input price for it again — on a long context that costs more than the measure saves. So no earlier result is ever shortened, replaced by a stub or removed afterwards. The one deliberate break is compaction, which already replaces the history with a summary.
1. Every result has an id
Every tool result is given an id when it is inserted: # and the result's number in the session —
counting from 1, in lowercase hex, at least ids.digits (4) digits — so #0001, #0002, …,
#000a, …, #10000. Unique in the session and never reused — not after a compaction either. It is
the first thing in the result, in brackets: [#0001], then a newline and the result.
A read's bracket says more: the path as the call gave it, the lines shown, the file's length in
lines and the first sha_digits (8) hex digits of the SHA-256 of the file's content —
[#0012 src/app.ts lines 1-200 of 340 sha 1c9e04ab]
1: import …
— and an empty file [#0013 notes.txt empty sha e3b0c442]. The full hash is kept by the session;
only it decides whether a file is unchanged.
Paths in a bracket are the call's. A read's bracket, an edit's (§5) and the compaction table
(§7) name the path as the call gave it — what the model wrote, so it recognises it. What identifies
the file — for a stub, for the table's "newest read of each path", for whether a file was read before
it is changed — is its absolute, resolved path (filesystem.md, Paths). Every other answer (an
error, a refusal, a search's results) names the absolute path.
Every result is stored with the session, in full — before any cap, and for a stub the text it
stands for — so recall can show any of them for as long as the session exists.
2. An unchanged re-read is a stub
A stub names only a result that is in the request being built — one whose text is among the tool results this request sends to the model. That set, not anything the session stored, is the dedupe table. Where a request does not carry earlier results — a chat on the server sends no earlier reply's tool results with the next reply; after an undo, a rewind or a compaction they are gone — a read is answered in full, because what a stub would point at is not in front of the model. It holds for §2 and §6 alike.
A read is answered with a stub when the file's content hash equals that of an earlier full read of the same file still in the dedupe table, and the lines asked for lie wholly inside that read's lines:
[#0019 src/app.ts lines 50-80 of 340 sha 1c9e04ab] Unchanged since #0012, which already shows lines 1-200.
The bracket is the new read's; the sentence names the earlier result and its lines. A stub points at a full result, never at another stub. A file that changed — by this session's own edit or from outside — has another hash and is read in full; a range reaching past the earlier read is read in full.
3. Large output is capped on the way in
A result over cap.max_lines (400) lines or cap.max_chars (40,000) characters keeps its head —
as many whole lines as fit head_lines (200) and head_chars (20,000) — and its tail — likewise,
tail_lines (100) and tail_chars (10,000) — with one line between:
[1234 lines elided, full output #0020]
A first line longer than head_chars is cut to it and ends […cut]; the elided line follows it
whatever it counts. Reads and recall are not capped this way: each has its own window (2000 lines
from an offset).
4. recall
recall(id, offset?, limit?) shows a stored result again, in full, up to 2000 lines from offset:
[#0021 recall #0020 lines 1-2000 of 3400]
…
An id the session never gave: [#0021] No stored result #ffff in this session. The # may be left
out of the argument. A recall is not capped, is not deduplicated, and is itself stored.
5. Edits answer with the diff
edit, multiedit, apply_patch and write over an existing file answer with the unified diff
of the change (three lines of context, hunks only — the path is in the bracket) under a bracket
naming the path and the new content's hash:
[#0022 src/app.ts sha 7d0a91c3]
@@ -12,3 +12,3 @@
write of a new file answers [#0023 docs/new.md sha 52b6e3a0] Created, 14 lines. — the model
wrote the content and has it. A deleted file is [#0024 old.md deleted]. An apply_patch over
several files answers the id alone, then each file in its own bracket with its change, in the
patch's order:
[#0025]
[src/a.ts sha 7d0a91c3]
@@ -1,2 +1,2 @@
[docs/new.md sha 52b6e3a0] Created, 14 lines.
[old.md deleted]
A note the tool adds (a skill file written outside skill_manage) follows the diff. The diff is capped like any output, the first line kept.
6. The same search or listing twice is a stub
For dedupe.by_result — list, glob, grep, search — a call with the same arguments (compared
as JSON with sorted keys) as an earlier one in the dedupe table, whose result is the same text,
is answered [#0027] Same result as #0026. The call is run again and compared, so a change from
anywhere shows up as a full result. Other tools are never deduplicated: a command's output twice is
two results.
7. Compaction
Compaction is the one deliberate break of the cache, and it already exists. In 3.0.0 two things come with it:
-
After the summary the harness adds — itself, not the model — a table of the reads the summary covers: the full reads made since the previous compaction (or since the session began) in turns that are still part of the history being summarised — whether or not their results are still in the request. A turn taken back (an undo, a rewind, a reply regenerated or deleted) takes its reads with it. Of those, the newest full read of each file (by its absolute path), newest last, at most
compaction.rows(50); a stub is not a read here. A session that resends every result (the CLI) finds exactly these in its dedupe table; a chat, which does not, finds them in what it stored for the turns being summarised:## Files read before this summary Read a file again for its content; recall shows a result by its id. | Path | Lines | sha | Result | |---|---|---|---| | src/app.ts | 1-200 of 340 | 1c9e04ab | #0012 |With no reads there is no table.
-
The dedupe table is emptied, so no stub ever points at content that is no longer in the context. A read after compaction is a full read; a
recallof any earlier id still works.
8. Earlier reasoning
Left to the model's own chat template: the harness sends the history as it does, and neither strips reasoning a template keeps nor adds what it drops.
9. What the model is told
prompts/blocks/context.md, in every session that has recall.
Not in 3.0.0
Eliding old content in batches behind a threshold, and measuring quality and tokens with and without these measures, are left for a later spec. Every measure above ships with its unit and conformance cases.
Over the link
A device keeps its sessions' stored results itself; recall in an agent session reads the device's
store. The ids are in the result text, so a client showing the transcript shows them as they are.