mirror of
https://github.com/Ark0N/Codeman.git
synced 2026-10-02 21:49:42 +02:00
codeman@1.33.2
7
Commits
| Author | SHA1 | Message | Date | |
|---|---|---|---|---|
 DevvynandClaude Sonnet 5
|
e2034177c5 |
fix(custom-model): root-cause and fix DeepSeek's HTTP_404 (missing /v1)
DeepSeek Harness's own bundled provider module
(@deepseek-ai/dsh-llm-deepseek) builds its request URL as
`${DEEPSEEK_BASE_URL}/chat/completions` with no `/v1` insertion of its
own (its real public API, https://api.deepseek.com, expects the
caller's base URL to already carry any needed prefix), while
llama-swap/llama.cpp only ever serves the OpenAI-conventional
`/v1/chat/completions`.
Confirmed two ways:
- Installed the real @deepseek-ai/dsh package (all its actual
published dependencies) into a scratch dir purely to read
dsh-llm-deepseek's source: `fetch(`${connection.baseURL}/chat/
completions`, ...)`, baseURL read straight from DEEPSEEK_BASE_URL —
the same grep-the-real-source bar pi/grok's fixes were held to.
- Live against the test-picker's llama-swap: `POST <baseUrl>/chat/
completions` -> 404, `POST <baseUrl>/v1/chat/completions` -> 200,
same endpoint. dsh's own error template ("DeepSeek API error (HTTP
${status})") reproduces the originally-reported
"dsh: HTTP_404: DeepSeek API error (HTTP 404)" exactly.
- New registry field `appendV1Suffix` (env kind only, deepseek's entry
alone — claude/gemini must NOT get it, since claude was already
confirmed working against the unmodified baseUrl). When set,
buildCustomModelInjection runs endpoint.baseUrl through the same
withV1Suffix() helper configDir-kind CLIs (pi/grok/codex) already
use, instead of writing it verbatim.
Not yet re-run end-to-end through a real dsh binary — no install
available in this environment (not in PATH, and the test-picker
container doesn't bundle it) — so this is source-confirmed and
live-verified at the HTTP level, not yet promoted to "verified"
alongside claude/opencode/pi/grok/omp. Docs (custom-model-endpoints.md,
the plan doc's confidence table, the wiki page, CLAUDE.md) all updated
to reflect this precisely rather than leaving the old "root cause not
identified" claim in place.
2 new/updated tests for the /v1 suffix (including idempotency against
a baseUrl that already ends in /v1) plus a corrected mock-server
contract test. Typecheck/lint clean; full suite shows no new
regressions.
Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01RqZeHrRS6DYcGcGX2p9EwG
|
||
|
DevvynandClaude Sonnet 5
|
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 |
||
|
DevvynandClaude Sonnet 5
|
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
|
||
|
DevvynandClaude Sonnet 5
|
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 |
||
|
Codeman maintainer
|
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> |
||
|
DevvynandClaude Sonnet 5
|
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
|
||
|
DevvynandClaude Sonnet 5
|
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 |