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Commits
| Author | SHA1 | Message | Date | |
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 DevvynandClaude Sonnet 5
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8520925e76 |
docs(custom-model): bring CLAUDE.md and api-reference.md up to date
Full documentation review pass across the branch's 30 commits.
CLAUDE.md's Custom Model Endpoint Profiles entry hadn't been touched
since the initial backend+picker cut (3 early commits) despite 27
follow-up commits adding real behavior — it described restart-in-place
as universal (now claude-only; 7 other CLIs launch one-shot) and
claimed codex's Responses-API gap as a flat protocol break (now
re-verified as a more precise tool-calling gap). Corrected both and
added a new paragraph covering everything landed since: the llama-swap
conflict check, the after-the-fact swap-displacement sweep, the
/running-cmd-based context-length fix, the context-window floor
warning, skipFirstRunPrompts, the real-time /api/events-based log
status, and the countdown-to-Cancel-button change.
docs/api-reference.md's custom-model-endpoints section was missing the
running-status route, the requiresConfirmation/requiresContextWarning
response shapes, and POST /api/quick-start's customModel field
entirely (the primary launch path for 7 of 8 supported CLIs) — added
all three. Also fixed a real markdown bug in custom-model-endpoints.md:
an inline code span (`POST <baseUrl>/v1/chat/completions`) split across
a line break, which CommonMark renders with the line ending collapsed
to a space, so it displayed as ".../v1/chat/ completions" with a
spurious space inside the path.
Verified: origin/master and upstream/master are both already an
ancestor of this branch (identical at
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DevvynandClaude Sonnet 5
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db9729e1fc |
feat(custom-model): remove loading-banner countdown, add manual Cancel
Replaces the size-scaled expected-time estimate + matching auto-timeout with a generic hardware/model-size disclaimer and a user-driven Cancel button, per explicit request. Real load time depends on hardware this feature has no way to know (VRAM, storage speed, GPU contention), so the old estimate/timeout was a guess dressed up as a fact — worse, one that could kill a genuinely slow load partway through on slower hardware. - _watchLlamaSwapLoading (session-ui.js): dropped maxWaitMs/deadline entirely — polls indefinitely until ready or cancelled, no automatic give-up. Message is now "Loading <model> (<size>) on <endpoint> — this can take a while depending on your hardware and the model size.", with the real llama.cpp log line still on its own second line. Removed _MODEL_LOAD_TIME_MATRIX/_estimateModelLoad/ _formatRemaining (dead code once the countdown is gone) — _lookupModelSizeGB is kept, the GB figure still shows. - _showCenterStatus (panels-ui.js) gains opts.onCancel: renders a real "Cancel" button (distinct from the error-type "×" close button, since Cancel has a real consequence) that calls it on click. Caller owns what cancelling actually means, same split as the swap-confirm modal's promise-resolving buttons. - Cancelling dismisses the banner, shows an info toast (not an error — this was deliberate), and closes the session, mirroring what the old timeout used to do automatically but now on the user's own call. - New .center-status-cancel CSS (bordered pill button, distinct from the plain "×" close glyph). Test changes: removed the now-invalid timeout-auto-close/estimate tests, added cancel-flow tests (dismiss/toast-type/session-close, never-closes-with-no-sessionId, unbounded-polling), and real-DOM tests for the new Cancel button (bootAppWithRealCenterStatus, evaluating panels-ui.js instead of stubbing _showCenterStatus, since this button is worth verifying for real rather than just through the stub every other test in the file uses). Typecheck/lint/frontend-syntax clean; full suite shows no new regressions. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01RqZeHrRS6DYcGcGX2p9EwG |
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DevvynandClaude Sonnet 5
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2d3fc65758 |
feat(custom-model): show real-time llama.cpp backend status in the loading banner
Answers the underlying request behind investigating llama.cpp log
access: surface what the backend is actually doing, live, on top of
the existing countdown timer during a model load.
- getLatestLlamaSwapLogLine()/pruneIdleLlamaSwapLogTails()
(custom-model-routes.ts): one persistent GET /api/events (SSE)
connection held open per endpoint, parsing logData frames and
keeping the latest source:"upstream" (backend llama-server) line —
filtering out llama-swap's own source:"proxy" request-access lines.
Idle-closed after 30s of no polling, same 20s sweep as the existing
swap-displacement check.
- running-status route now returns logLine alongside the existing
isLlamaSwap/running fields.
- Frontend: _watchLlamaSwapLoading's banner gains a second line
("llama.cpp: <line>", bootlog timestamp/level/component prefix
stripped for display) that stays on the last real thing llama.cpp
said rather than clearing to blank between polls.
⚠️ Caught and fixed before merge, not after: the first cut targeted
GET /logs (the endpoint the name suggests), shipped a working-looking
implementation with passing tests, and only failed a live check against
the real Nemesis llama-swap deployment — /logs turns out to carry ONLY
llama-swap's own proxy request-access log and never once showed a
single backend line, even seconds after a real, confirmed model swap
triggered via a direct API call. GET /api/events's logData frames
(with an explicit source field distinguishing upstream from proxy) are
the only source that actually has backend output; corrected and
re-verified live end-to-end through an actual forced swap before
writing this commit, confirmed live to hold its connection open
indefinitely (unlike /logs, which closes after a fixed ~100KB).
12 tests for the corrected /api/events parsing (SSE frame buffering
across chunk boundaries, source filtering, malformed/wrong-type frames,
connection reuse, idle pruning) plus 2 for the frontend banner
rendering. Typecheck/lint/frontend-syntax clean; full suite shows no
new regressions (14 more passing than baseline, matching the new
tests; same pre-existing Windows-environment failures).
Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01RqZeHrRS6DYcGcGX2p9EwG
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DevvynandClaude Sonnet 5
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5ddc028a2f |
feat(custom-model): detect and notify when a session's model gets swapped out later
The llama-swap conflict check on the apply/create routes only ever runs at THAT session's own launch/apply moment, and cannot see a swap caused by a DIFFERENT session's later, ordinary use. Confirmed live: a second Codex session picking a different model launched with no warning at all — nothing conflicted at that exact instant — yet it silently evicted the first session's model regardless (llama.cpp runs one model at a time). Reproduced and root-caused via direct API calls against a live test-picker instance rather than guessing. - detectCustomModelSwapDisplacements() (custom-model-routes.ts): groups live sessions with a customModel by endpointId, checks each group's endpoint via GET /running once, and flags a session whose own modelId is no longer in the running list. Read-only, best-effort per endpoint like refreshAllCustomModelHosts's sibling sweep. - Notifies once per displacement via a caller-owned de-dupe Set: a session id is added when displaced, removed once its own model is loaded/ready again, so a later genuinely-new displacement can notify again. - New periodic sweep in server.ts (CUSTOM_MODEL_SWAP_CHECK_INTERVAL_MS, 20s — much shorter than the 5-minute model-list refresh, since this is time-sensitive) broadcasts a new custom-model:swapped-out SSE event per displacement. De-dupe Set cleared per-session on session cleanup to avoid an unbounded leak. - Frontend: global toast (not tied to the displaced session's tab, since the point is warning before the user types into it) naming the session, its previous model, and what's currently loaded. Chose the "detect after the fact" scope (vs. checking before every message send, which would add a round-trip to every turn on every custom-model session) per explicit user decision after being presented the trade-off. 9 new tests for the detection logic (flag/clear/re-flag cycle, unreachable/deleted endpoints, non-llama-swap servers, multiple sessions on one endpoint). SSE registry bumped 158->159, parity test passing. Typecheck/lint/frontend-syntax clean; full suite shows no new regressions (9 more passing than baseline, matching the new tests; same pre-existing Windows-environment failures). Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01RqZeHrRS6DYcGcGX2p9EwG |
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DevvynandClaude Sonnet 5
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470f75b08c |
docs(custom-model): record live findings on codex's model-metadata warning
Investigated the user's report of "Model metadata for <id> not found. Defaulting to fallback metadata..." on every custom-endpoint codex launch, live against the test-picker's llama-swap deployment (codex 0.152.1): - The warning is cosmetic. `codex exec 'reply with just OK'` against the isolated CODEX_HOME still printed the warning and still returned a real reply. - The isolated CODEX_HOME never gets a models_cache.json written into it at all, even after extended real use (inspected a live, actively- used directory) — codex can't reach OpenAI's own hosted model catalog for this session and silently falls back every time, with no local file to create or clean up. There is also no config.toml override for a model's metadata. - Fabricating a fake catalog entry to suppress it would mean copying the SHAPE of OpenAI's own proprietary models_cache.json schema, including real per-model system-prompt content visible in a genuine entry — not something to build for a warning confirmed to have no effect. - More importantly: a real tool-call attempt against the same setup came back as agent_message TEXT (the tool-call JSON printed as the answer) rather than an executable function_call item, confirmed via `codex exec --json`'s raw event stream. Tool execution is what makes codex a coding agent, so it remains not usable for real work regardless of the metadata warning — a more precise, re-verified update to the existing "Responses API protocol gap" finding (which reported a harder Reconnecting/high-demand failure on a different llama-swap deployment; this one answers /v1/responses for plain chat but still can't execute tools). No code changes — recipe/comment/confidence-table documentation only. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01RqZeHrRS6DYcGcGX2p9EwG |
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DevvynandClaude Sonnet 5
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211b872335 |
feat(custom-model): skip Claude Code's first-run wizard on custom-model launches
A fresh, isolated CLAUDE_CONFIG_DIR (used to keep an injected API key away from a stored claude.ai OAuth login) looks like a brand-new Claude Code profile to the CLI, so it replays its ENTIRE first-run sequence on every single launch: the theme picker, the security-notes screen, the per-project "trust this folder?" dialog, and (running with --dangerously-skip-permissions) a one-time bypass-permissions warning — confirmed live, none of which a real, already-onboarded profile shows again. - New registry-declared env-kind field `skipFirstRunPrompts` (alongside apiKeyTrustFile, which it reuses) — claude's entry only, carried through buildCustomModelInjection (pure) into applyCustomModelInjection (IO). - seedFirstRunOnboardingState(): merges hasCompletedOnboarding: true and this session's own projects[workingDir].hasTrustDialogAccepted: true into the same <configDir>/.claude.json the API-key trust file already writes to — other projects and other fields on this session's own entry are left untouched. - seedSkipBypassPermissionsPrompt(): merges skipDangerousModePermissionPrompt: true into <configDir>/settings.json, a separate file, same corrupt-tolerant merge behavior. - applyCustomModelInjection() gains an optional workingDir parameter, threaded from session.workingDir (dedicated apply route) / resolvedCasePath (quick-start route) — boot recovery omits it (a dialog already answered once needs no re-seed on the same, persisted isolated directory). Tests added at the pure-builder, IO-wrapper (including merge-preserves- other-fields and corrupt-file-tolerance cases), and existing directory- listing assertions updated for the new settings.json file. Typecheck/ lint/format clean; full suite shows no new regressions (baseline pre-existing Windows-environment failures unchanged, 8 more passing tests than before — the ones added here). Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01RqZeHrRS6DYcGcGX2p9EwG |
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DevvynandClaude Sonnet 5
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b45a96358e |
feat(custom-model): warn before launching Claude on a model too small for its own overhead
Claude Code's own fixed per-turn overhead (system prompt + tool schemas,
~36.4K tokens measured live) can exceed a small local model's entire real
context before any conversation history exists to compact — confirmed
live twice as an in:0 out:0 failure on the very first message sent.
CLAUDE_CODE_MAX_CONTEXT_TOKENS cannot fix this: it only governs when
history gets compacted, and there is none on message one.
- exceedsSafeContextFloor() (custom-model-routes.ts): true when a CLI's
registry entry declares contextLengthVar (currently only claude) and
the model's discovered context is below CLAUDE_MIN_SAFE_CONTEXT_TOKENS
(40000). A no-op for every other CLI by construction.
- Both apply routes (POST /api/sessions/:id/custom-model and the
quick-start customModel path) check this before the swap-conflict
check and before launching/restarting anything, returning
{requiresContextWarning, modelId, contextLength, minSafeContextTokens}
— skipped when confirmed:true.
- Frontend: #customModelContextWarningModal + _confirmContextWarning/
_resolveContextWarningConfirm (session-ui.js), wired into both
_quickStartWithCustomModelConfirm and _runCustomModelEntryViaRestart
(the path Claude actually uses) ahead of the swap-confirmation check.
Explains the fix in-modal: give the model an explicit larger -c/
--ctx-size in llama-swap instead of relying on --fit-ctx, which
optimizes for the biggest model that fits rather than the biggest
context.
Tests added for the route-level warning/confirm/skip cases and the
frontend modal + launch-flow wiring. Docs updated (custom-model-
endpoints.md, wiki/Custom-Model-Endpoints.md) and the PR's running
changeset extended.
Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01RqZeHrRS6DYcGcGX2p9EwG
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DevvynandClaude Sonnet 5
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993710263d |
fix(custom-model): stop trusting /props's n_ctx, parse the real context size from /running's cmd
Root cause of the context-overflow regression reported live: "API Error: 400 request (36437 tokens) exceeds the available context size (16384 tokens)". Discovery had stored modelContextLengths.qwen3.8-27b-ud-q4_k_xl = 154112, so CLAUDE_CODE_MAX_CONTEXT_TOKENS told Claude Code it had a huge window and it never compacted - but the real llama-swap server was launched with --fit-ctx 16384 (confirmed against /running's own cmd field) and refused the request right at that real limit. /props?model=<id>'s n_ctx (the field discovery read) is confirmed live to be unreliable for a --fit-ctx-launched backend: it reported 154112 for the same model /running says was launched with --fit-ctx 16384 - appears to report the model's theoretical/trained maximum context, not the runtime- configured one. discoverModels() now parses the REAL configured size straight out of llama-swap's own launch command instead (parseCtxFromCmd(), reading /running's cmd field - --fit-ctx first, then the plain llama.cpp -c/ --ctx-size a hand-written command might use), and only falls back to the old /props probe when cmd states no recognizable flag at all. One /running call now covers every loaded model's context length in a single request, same as it already did for the swap-conflict check and the load trigger. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01RqZeHrRS6DYcGcGX2p9EwG |
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DevvynandClaude Sonnet 5
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7bbe408e44 |
feat(custom-model): live countdown on the loading banner; timeout is now an error
The loading banner now shows a live countdown against its own timeout (updated every poll, so every second by default) instead of a static "this can take a while" — e.g. "Loading qwen3.8-27b (16.4 GB, typically ~1-3 min) on llama-swap - 47s remaining". If the countdown reaches zero and the model still isn't ready, this is now treated as a real failure rather than a "keep waiting" shrug: - The banner turns into a sticky error (_showCenterStatus gains a `type` option - 'error' drops the spinner and adds a close button, since nothing is "in progress" anymore and a sticky message needs a way to dismiss it), naming the llama-swap server's own logs as where to look for detail. - The session that load was for is closed automatically (closeSession) - requested explicitly: a console left open and pointed at a model that never finished loading is worse than no console at all. Both apply paths now thread the new session's id through to _watchLlamaSwapLoading for this (new required 3rd parameter, after endpointId/modelId). _watchLlamaSwapGeneration's existing stale-call guard extends naturally to this: a superseded call's own eventual timeout recognises it no longer owns the banner and neither shows the error nor closes a session that may by then belong to a different, newer launch. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01RqZeHrRS6DYcGcGX2p9EwG |
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DevvynandClaude Sonnet 5
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55dae31530 |
feat(custom-model): estimate model load time from its discovered size
Discovery now also parses a GB figure out of an auto-discovered model's own description (llama-swap writes "Auto-discovered 16.35 GB - parameters auto-fitted by llama.cpp"), stored per model as modelSizesGB - unlike context length this needs no /props probe (the figure is right there in /v1/models) so it is populated for every model regardless of loaded state. A hand-configured profile's own description has no such figure and correctly gets no entry. The loading banner (_watchLlamaSwapLoading) now looks this up and, when known, shows it plus a rough estimate from a small size->time matrix (_estimateModelLoad/_MODEL_LOAD_TIME_MATRIX, session-ui.js) - "Loading qwen3.8-27b-ud-q4_k_xl (16.4 GB, typically ~1-3 min) on llama-swap... this can take a while" - and uses that same estimate's own bracket to scale the banner's default give-up timeout for a very large model, instead of a flat 5 minutes for everything. Explicitly labelled as an UNMEASURED, typical-hardware estimate in every relevant comment - this is not benchmarked against any real endpoint's actual storage/GPU, just a reasonable expectation-setter. A model with no discoverable size (a hand-configured profile) gets no size/estimate shown at all, matching the "never a guess" convention modelContextLengths already established. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01RqZeHrRS6DYcGcGX2p9EwG |
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DevvynandClaude Sonnet 5
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0929694012 |
fix(custom-model): actually trigger the llama-swap load, not just watch for it
Root cause of "it doesn't look like llama-swap is actually switching the model" (confirmed live: no load_model line in llama-swap's own logs after applying a selection). llama-swap has no "switch model" admin endpoint - the ONLY thing that starts a swap is a real inference request naming the model. Every previous fix (the conflict check, the loading banner) assumed a swap would start on its own; nothing ever actually asked llama-swap to load anything until the launched CLI's first real prompt did, which could be much later than "applying the selection" implied. Adds triggerLlamaSwapLoad() (custom-model-routes.ts): sends the smallest real request that will start a load - POST <baseUrl>/v1/chat/completions, max_tokens: 1, one throwaway message - fire-and-forget (never awaited by the caller; the frontend's own running-status polling is what actually confirms readiness). Wired into both apply paths (the dedicated restart route and the one-shot quick-start route), fired whenever the target model isn't already the one loaded and ready - a broader condition than the existing swapNeeded (which only gates the "this will evict another session's model" confirmation ask and deliberately stays narrow to that). modelSwapInProgress in both routes' responses now reflects this same broader condition too, so the frontend's loading banner actually correlates with a real in-flight load rather than only firing when something else happened to be loaded already. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01RqZeHrRS6DYcGcGX2p9EwG |
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DevvynandClaude Sonnet 5
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f865f74a0f |
feat(custom-model): launch directly on the endpoint, no restart, for 7 of 8 CLIs
Fixes the visible double-launch reported on Codex: picking a custom-model
Run-menu entry launched natively first, waited for it to settle, then
restarted it in place with the endpoint applied. Necessary for the design at
the time, but visibly a native boot immediately followed by a second one -
worst on a CLI whose TUI fully reinitializes on a restart, confirmed live on
Codex.
POST /api/quick-start gains an optional customModel field
({endpointId, modelId, confirmed?}). When present, the route mints the
session's id itself (crypto.randomUUID()) before constructing it, computes
the same injection the existing POST /api/sessions/:id/custom-model route
computes (including the llama-swap conflict check from the last commit -
same {requiresConfirmation, currentlyLoadedModel, affectedSessions} shape,
no session created until confirmed), and launches the session already
pointed at the endpoint: env vars via the constructor, and the launchModel
override merged onto piConfig/grokConfig/ompConfig using the registry's own
launch.legacyConfigField the same way session.ts's restart path already
does. No restart at all - setCustomModel() afterward is bookkeeping only.
Wired into 7 of 8 launch functions (session-ui.js): openCode, codex, gemini,
pi, grok, deepseek, omp. Claude stays on the original launch-then-restart
path for now: its own --resume-based restart is far less jarring than the
other seven's, and runClaude()'s multi-tab launch plus docker-config-drift
confirm/retry loop make folding it into the one-shot path separate,
higher-risk work than the other seven's each-a-single-simple-launch shape.
Also fixes a pre-existing 'mode === omp' branch flagged by the CLI-id
static guard (test/cli-registry-no-id-branching.test.ts) - the ompConfig
launchModel merge is the same 'legacy <Mode>Config plumbing' category as
the six sibling branches already allowlisted there, just newly literal
where it was previously only inside resolveOmpConfigForCreate's own check.
Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01RqZeHrRS6DYcGcGX2p9EwG
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DevvynandClaude Sonnet 5
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97464bfa27 |
fix(custom-model): pre-approve the injected API key in the isolated Claude config dir
The CLAUDE_CONFIG_DIR isolation from the previous commit fixed the cosmetic
auth warning but introduced a real regression: an otherwise-empty config
directory has none of a real profile's prior custom-API-key approvals, so
Claude Code stops at an interactive 'Detected a custom API key - use it?'
prompt on every single launch. Confirmed live. With nobody at a TTY to
answer, the prompt's own default ('No') silently refuses the very key this
feature just injected, which looks like the endpoint being ignored.
Adds apiKeyTrustFile to the env-kind customModelInjection capability shape
({relPath, shape: 'claude-api-key-responses'}), set on claude's entry to
{relPath: '.claude.json', shape: 'claude-api-key-responses'}. The apply step
merges customApiKeyResponses.approved: [apiKey] into
<isolatedConfigDir>/.claude.json - the exact field a real answered prompt
itself writes to (confirmed against a real ~/.claude.json after answering by
hand once), so this answers the prompt in advance rather than bypassing it.
Merges onto whatever the CLI already wrote into that file on an earlier
launch in the same isolated directory rather than overwriting it; a missing
or corrupt file is treated as empty rather than failing the apply.
Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01RqZeHrRS6DYcGcGX2p9EwG
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DevvynandClaude Sonnet 5
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0e8b1981af |
fix(custom-model): isolate Claude config dir and inject real context length
Addresses two live-validation findings on the Run-menu custom-model picker: 1. Both claude.ai and ANTHROPIC_API_KEY set warning. Claude Code still coexists an OAuth login with an injected ANTHROPIC_API_KEY in the same config directory and warns about it (confirmed cosmetic - the API key wins for actual requests, verified via a real session's own API Usage Billing line). A custom-model claude session now gets an isolated CLAUDE_CONFIG_DIR (registry-declared via a new configDirVar field, empty, no files written into it) so there is nothing to conflict with. projects is symlinked (junction on Windows) back into the real config dir so the response viewer, subagent windows and Read My Mind keep working for that session, best-effort. 2. Context-window overflow. Claude Code assumes a large default context window for a model id it doesn't recognise and never compacts, so a custom endpoint's real, much smaller context (verified live: a 400 exceeding a 16384-token llama-swap model with a stock ~33.7K-token system prompt) silently overflows. Discovery now also learns each model's real context length from llama.cpp/llama-swap's GET /props?model=<id> (n_ctx), but ONLY for a model llama-swap's own /v1/models response already marks status.value === 'loaded' - never an unloaded one, since llama-swap treats ?model= as a routing hint and probing an unloaded model risks triggering an actual, slow, GPU-swapping load as a side effect of read-only discovery. A server with no status field at all gets no enrichment rather than a guess; a model not probed this round keeps its previously-learned value until it disappears from the list entirely. Stored per model (CustomModelHost.modelContextLengths) and applied via a new contextLengthVar registry field, set to CLAUDE_CODE_MAX_CONTEXT_TOKENS for claude. Both new fields live on the existing env-kind customModelInjection capability shape, declared only on claude's registry entry - every other CLI's injection is unaffected (pinned by test). Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01RqZeHrRS6DYcGcGX2p9EwG |
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DevvynandClaude Sonnet 5
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5c25a52f95 |
fix(custom-model): wait for a freshly launched session to go idle before applying
Root cause of every 'Session is busy' apply failure reported from live
testing: a just-launched CLI reports itself 'busy' for its own startup
(boot spinner, workspace-trust check) well before runCustomModelEntry's
apply call could reach it, and the apply route's isBusy() guard correctly
cannot tell that apart from a real turn in progress — it exists precisely
to refuse restarting a session mid-turn, and a fresh boot looks exactly
like one from the outside. Confirmed live: replaying the identical apply
call by hand against the same session, once it had settled, succeeded
immediately.
Fixed by waiting on the session's own readiness signal before applying:
GET /api/sessions/:id/wait?until=idle&timeout=20000, one GET already built
for exactly this ('Agent wait primitives', CLAUDE.md) rather than inventing
a client-side poll loop. A timeout there is a normal 200 per that
endpoint's own contract, never an error, so a session still busy after 20s
just reaches the apply call anyway and gets the route's own honest error —
now visible, since the previous commit made error toasts sticky and
stopped discarding the real error text.
Tests: new case in custom-model-run-menu-ui.test.ts pins the ordering (the
wait call happens, and strictly before the apply call) and its exact query
string.
Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01RqZeHrRS6DYcGcGX2p9EwG
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DevvynandClaude Sonnet 5
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5a9ff07f57 |
feat(custom-model): ask which model on launch when an endpoint has more than one, and re-discover models every 5 minutes
Two enhancements requested after live-validating PR #430 against a real llama.cpp server: 1. Model picker dialog. Picking a Run-menu Custom Endpoints entry used to apply the endpoint's defaultModelId (or the first discovered model) silently. Now, via the new selectCustomModelEntry() (session-ui.js): - exactly one discovered model launches straight away, same as before - two or more open a new #customModelPickModal listing every discovered model; defaultModelId (if set) is marked but never auto-chosen, since the point of asking is letting ONE launch deliberately differ from the saved default, not just confirming it The endpoint is re-fetched at click time rather than trusting anything cached from the dropdown's own render, since the model list can have changed (the sweep below, or a settings-panel edit) since it opened. runCustomModelEntry() itself — the actual launch, routed through run() for the in-flight lock, snapshot-guarded against applying to the wrong session — is unchanged; it now just always receives an explicit model id from one of these two paths instead of computing one itself. 2. Periodic re-discovery. Every saved endpoint's models now refresh automatically every 5 minutes in the background (CUSTOM_MODEL_REDISCOVER_INTERVAL_MS, server.ts, registered the same way as the Codex plan-usage poll it sits beside — this.cleanup.setInterval, off under testMode), so a model the server starts or stops serving shows up without another manual "Discover" click. The manual POST .../discover-models route and the new refreshAllCustomModelHosts() sweep (custom-model-routes.ts) now share one pure merge step (applyDiscoveredModels: stamps lastDiscoveredAt, drops a defaultModelId that no longer appears) rather than two copies that could drift. The sweep is best-effort per host — one endpoint being unreachable on a cycle never blocks the others — and re-reads the store before each host's write, keyed by id, so a concurrent edit or delete from the settings panel always wins over a sweep that started before it. Tests: test/custom-model-endpoint-rediscovery.test.ts is a new, dedicated file for the sweep (kept separate from custom-model-routes.test.ts because that file's data dir is shared across every test in it — one temp HOME per FILE, not per test — which would make a sweep-touches-every-host assertion meaningless there). test/custom-model-run-menu-ui.test.ts gained a new describe block driving the real picker modal through JSDOM: single-model bypass, multi-model dialog with the default marked-not-chosen, picking a row closes the modal and launches with that exact model, the endpoint re-fetch, and the two "vanished by click time" toast paths. Docs: docs/custom-model-endpoints.md, docs/wiki/Custom-Model-Endpoints.md, docs/api-reference.md and CLAUDE.md's dense feature paragraph all updated — the last of these also caught up two sentences that had gone stale after the draft-review fixes landed (the picker routes through run() now, not a raw run*() call). Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01RqZeHrRS6DYcGcGX2p9EwG |
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DevvynandClaude Sonnet 5
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25fae9ad10 |
feat(custom-model): generate Run-menu entries from saved endpoint profiles
Follow-up to #393, picking up the work Ark0N invited in his merge comment: "generate those entries from the saved profiles rather than a fixed duplicate per harness, and put it in a follow-up PR so this one stays the backend... The Run-menu picker is yours if you want it." Adds the frontend surface the backend has been waiting on: - Run menu: a "Custom Endpoints" section lists one entry per (harness that supports customModelInjection, saved endpoint) pair, e.g. "Claude Code (llama.cpp)". The harness list comes from window.__codemanCustomModelClis, injected at page render straight off the CLI registry's own capabilities (never a hardcoded id list in the frontend), so a CLI whose injection recipe lands later appears with no frontend change. Picking an entry runs that harness's own existing run*() function unmodified (case creation, env overrides, everything, forced to a single instance) and then applies the endpoint's default model to the session it creates via the existing POST /api/sessions/:id/custom-model route. Entries are hidden for a remote/docker active case, since that route already refuses both. - Settings: App Settings -> Models gets a "Custom model endpoints" group wiring up the customModelEndpointsEnabled toggle (declared since #393, read by nothing until now) plus CRUD against the existing /api/model-endpoints routes: list, add/edit (inline form), delete, discover models. - Backend: CustomModelHost gains an optional defaultModelId, the model the picker applies with no further choice per endpoint (one generated menu entry per CLI+endpoint pair, not per CLI+endpoint+model). The route refuses a value that isn't one of the endpoint's own discovered models, and a fresh discovery drops a default that no longer appears rather than carrying an invalid one forward. Docs: docs/custom-model-endpoints.md describes the new picker and settings panel; CLAUDE.md's Custom Model Endpoint Profiles entry drops the "backend-only" status note and documents the picker's generation mechanism. Tests: four new route tests cover defaultModelId validation, acceptance, and the drop/keep behaviour across a re-discovery; a new render-index-html test pins the __codemanCustomModelClis injection (present, agent CLIs supporting the capability, antigravity and shell excluded) and its solo-window skip. No browser test was added for the Run-menu picker itself or the settings CRUD panel (this box has no tmux, so the live server used by test:browser/test:mobile could not be exercised here) -- worth a Playwright pass before merge, same as any other frontend PR. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01RqZeHrRS6DYcGcGX2p9EwG |
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Codeman maintainer
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942bf37e48 |
fix(custom-model): unset injected env on clear, resume on restart, select the model for pi/omp/grok
Custom Model Endpoint Profiles (#393) let a session point its CLI at a custom OpenAI-compatible endpoint by injecting env vars or a config file and restarting the CLI in place. Review of the apply path found four things, two of them destructive. This lands all four plus the smaller items from the same review. 1. Clearing a selection did not clear it. The injected vars reach the CLI via `tmux setenv`, which persists at the tmux-session level and is inherited by `respawn-pane` (measured: `setenv FOO bar` survived two successive `respawn-pane -k`), so deleting the keys from the session's envOverrides relaunched the CLI still pointed at the old endpoint, and for the configDir kinds at a HOME/CODEX_HOME/GROK_HOME that had just been deleted. `Session.setCustomModel()` now reports the removed keys, queues them (`_pendingEnvUnsets`), and `RespawnPaneOptions.unsetEnvKeys` carries them into `applyEnvOverrides()`, which `setenv -u`s them before re-applying the live overrides, on the same path that already unsets the legacy CLAUDE_CODE_EFFORT_LEVEL. Verified on a private tmux socket that `setenv -u HOME` hands the next respawn the global HOME back. 2. Applying a model to a local claude session killed the pane. The relaunch was `claude --session-id <id>` and Claude refuses an id that already has a transcript, and unlike the dead-pane respawn this one kills a working pane first. `restartCli()` now pins the live conversation id as the resume id for that respawn when the CLI's launch declares a `fallback` chain, which renders the same `--resume <id> || --session-id <id>` shape the docker and remote pane commands use. Gated on the registry shape, not the CLI id: an entry whose resume id is minted by the CLI itself never declares that chain. 3. pi, omp and grok wrote their config file and then launched without the `--model` that selects it, so the file was ignored. The registry entry now declares `customModelInjection.launchModel` (`custom/{modelId}` for pi and omp, grok's `[model.codeman-custom]` block name), the builder renders it, and `_withCustomModelLaunchModel()` applies it onto the respawn options through `legacyConfigField`, leaving the stored <Mode>Config untouched so a clear falls back to the user's own model. A model id the CLI's `model` token pattern cannot carry is refused with a 400 rather than silently dropped by the argv engine. 4. Remote (SSH) and Docker sessions reported `restarted: true` and changed nothing: their `restartCli()` reattaches the durable tmux rather than relaunching the agent, and the env lands on the local pane. Both are refused with a 400 until those paths are plumbed. Smaller items from the same review: - The selection survives a Codeman restart as the disk-only `__customModel` bookkeeping (endpoint, model, injected key NAMES, config dir, launch model; never the values, which carry the API key). Recovery re-derives the values from the endpoint store through the same apply path the route uses and keeps the bookkeeping even when the endpoint is gone, so a later clear still has keys to unset. - Discovery goes through `webviewFetch()`, so the RESOLVED address is judged by the same egress guard the web-tab proxy uses, and `baseUrl` reuses `webviewUrlSchema` (http(s) only, no embedded credentials, link-local and cloud-metadata addresses refused). undici's `fetch failed` wrapper is unwrapped so the user sees the ECONNREFUSED underneath. - `custom-model-hosts.json` is written 0600 via tmp+rename, the per-session config dir 0700/0600 (pi and omp embed the key literally), and that dir is removed with the session. - `PR.md` is gone from the repo root and the design doc moved to `docs/custom-model-endpoints-plan.md` with the LAN address and the personal name scrubbed; every reference follows. The guide's `authStyle` text matches the shipped schema (`bearer | api-key`, default `bearer`) and says that `customModelEndpointsEnabled` is read by nothing until the picker lands. - `config/tsconfig.scripts.json` typechecks `scripts/test-local-llm-harnesses.ts` (four real type errors fixed). It is not yet wired into `npm run typecheck` because that line differs on master; adding `&& tsc -p config/tsconfig.scripts.json` there is the one-line follow-up. Tests: `test/session-custom-model-restart.test.ts` drives a real Session and fails on the unfixed code for items 1 to 3; the route suite covers item 4 and the pattern refusal; `test/tmux-manager.test.ts` pins that the unsets run before the overrides and that a shell-metachar key never reaches tmux. Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com> |
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DevvynandClaude Sonnet 5
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61779745aa |
test(custom-model): make the harness smoke test dynamic, verify all 9 CLIs end-to-end
Rewrites scripts/test-local-llm-harnesses.mjs -> .ts to read the live CLI
registry (enabledClis()) and call the real production
buildCustomModelInjection()/applyConfigDirInjection() instead of keeping a
second hand-maintained copy of every CLI's env/config shape. A future
registry change (new CLI, edited env var, fixed config template) is now
picked up automatically with zero edits to this script; only the one-shot
invocation flags (info the registry genuinely doesn't model) stay in a
small hand-maintained ONE_SHOT table, and a registry CLI with no entry
there reports UNKNOWN rather than being silently skipped.
Extracted src/custom-model-injection-apply.ts (applyConfigDirInjection/
removeConfigDir) so the production route and this script share one
implementation instead of two.
Full end-to-end run against a real llama-swap server, inside a
codeman/agent:llm-test Docker image with all 9 CLI binaries:
- claude, opencode, pi, grok, omp: PASS, real "hello world" replies
- codex: confirmed FAIL for a real protocol reason, not a bug — it only
speaks the Responses API since Feb 2026, which llama.cpp/llama-swap
don't implement
- gemini: confirmed FAIL, unresolved after real investigation — an
undocumented GATEWAY AuthType gemini-cli selects once
GOOGLE_GEMINI_BASE_URL is set rejects every auth-key format/override
tried
- deepseek: reaches the server (env vars are read) but gets a consistent
HTTP_404; root cause not identified, documented as best-effort/unknown
- antigravity: SKIP, no known mechanism (unchanged)
Two real bugs found and fixed along the way (grok, pi/omp registry
entries in stock.ts): grok's original recipe (env vars) was flat-out
wrong, not just unverified — the real mechanism is a config.toml
[model.<name>] block redirected via GROK_HOME. pi/omp's PI_CONFIG_DIR
does nothing for either (grepped pi's entire bundled source — the string
appears nowhere); the real redirect is the child process's own HOME, and
both need `models` as an array of {id} objects, not an object keyed by
id (silently loaded zero models otherwise).
deployment_plan.md, PR.md, docs/custom-model-endpoints.md, and CLAUDE.md
updated with the final confidence table reflecting all of the above.
Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_017HqNWfmtBU2KN29SvSVWB3
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DevvynandClaude Sonnet 5
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41416566aa |
feat(custom-model): Custom Model Endpoint Profiles (local or cloud, all harnesses)
Point any Codeman-supported harness (Claude, opencode, Codex, Gemini, Pi, Grok, DeepSeek, OMP) at a custom OpenAI-compatible endpoint instead of its native cloud backend, for a given session. Covers local hardware (llama.cpp, Ollama, vLLM, DGX Spark, Strix Halo) and cloud (Azure AI Foundry, OpenRouter). Off by default (customModelEndpointsEnabled, synced, default OFF). - Registry: capabilities.customModelInjection per CLI entry (env / configContentEnv / configDir / unsupported kinds) - Pure injection builder (custom-model-injection.ts) turning an endpoint + model id into the real env vars / config content per CLI - Endpoint store + CRUD routes (custom-model-hosts.ts, custom-model-routes.ts), discovery via GET /v1/models, SSRF-guarded - Session integration: Session.setCustomModel()/restartCli() (POST /api/sessions/:id/custom-model), reusing the existing respawn-pane -k primitive to restart the CLI process with new env - Multi-user hardening: every new redirect-capable env var added to its CLI's privilegedEnvKeys, closing a pre-existing gap where several were already reachable via the generic envOverrides field's prefix allowlist - Standalone scripts/test-local-llm-harnesses.mjs: spawns real CLI binaries against a real endpoint outside the web UI, independent of tmux/sessions - Mock-server contract tests (test/fixtures/mock-openai-server.ts) replaying every CLI's injected values through a real HTTP shape Real end-to-end validation against a live llama-swap server (inside a codeman/agent:llm-test Docker image with all 9 CLI binaries) found and fixed three real bugs before they shipped: - Codex's config.toml schema was wrong ([model].default table instead of a top-level model string + [model_providers.custom]); fixing it then surfaced a genuine, documented protocol incompatibility (Codex only speaks the Responses API since Feb 2026, which llama.cpp/llama-swap don't implement) - Claude Code's async session-title-generation call validates ANTHROPIC_DEFAULT_HAIKU_MODEL against its own internal model list and hangs the whole -p invocation on an unrecognized name; documented for chunk 6, worked around in the standalone script only (--bare is NOT safe for a real interactive session, which needs hooks) - The discovery route's authStyle: 'both' option (send both Authorization and api-key headers) reliably hung a real server; removed the option entirely rather than just changing the default Status: draft. Chunk 6 (frontend toolbar/settings UI) not yet built — see PR.md and deployment_plan.md for the full chunk breakdown and confidence table. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_017HqNWfmtBU2KN29SvSVWB3 |