8 Commits

Author SHA1 Message Date
Wood
f7ca045fb1 feat(daemon): discover Codex model and reasoning catalog dynamically (#5198)
Discover the Codex model list and per-model reasoning efforts from the installed CLI (codex debug models --bundled), with a verified static fallback for old/offline installs. Server gates token syntax; the daemon validates the exact (model, effort) pair.

Closes #5197
MUL-4354
2026-07-10 14:32:05 +08:00
Bohan Jiang
8e0fbecab5 fix(models): codex empty-model effort validation + exact 5.6 aliases (MUL-4347) (#5196)
Follow-up to #5188 addressing the second-round review.

- ValidateThinkingLevel now fails an empty codex model closed instead of
  borrowing the flagged Default (gpt-5.6-sol). An empty model follows
  config.toml, which can resolve to any installed model; Sol alone advertises
  `ultra`, so the old borrow green-lit levels Luna / gpt-5.5 don't support and
  Codex doesn't reject. Checked before ListModels so a discovery error can't
  fail it open. Frontend pickModelEntry mirrors this (no per-model effort
  preview for an empty codex model); the persisted-orphan clear path stays.
- parseCodexDebugModels drops efforts without a known label so the picker
  never advertises a level the Create/Update enum gate would 400 on save; the
  contract test now drives the real parser with an unknown effort instead of
  comparing two hand-written maps.
- gpt-5.6 price aliases anchor to a literal dot (not the [.-] class), so
  dashed variants like gpt-5-6-luna surface as unmapped on both backend and
  frontend rather than silently borrowing a tier.

Co-authored-by: J <j@multica.ai>
Co-authored-by: multica-agent <github@multica.ai>
2026-07-10 14:00:38 +08:00
Bohan Jiang
6b980a8e71 feat(models): add Codex gpt-5.6 series (sol/terra/luna) to model list & pricing (MUL-4347) (#5188)
* feat(models): add Codex gpt-5.6 series (sol/terra/luna) to model list & pricing (MUL-4347)

Co-authored-by: multica-agent <github@multica.ai>

* fix(models): official gpt-5.6 pricing, exact aliases, max/ultra effort levels (MUL-4347)

- Replace provisional gpt-5.6 rates with OpenAI's official announcement
  values (sol 5/30, terra 2.5/15, luna 1/6); cache read 0.1x input, cache
  write 1.25x input (frontend + backend, kept in sync).
- Anchor gpt-5.6 price aliases to exact match so unknown suffixed variants
  surface as unmapped instead of borrowing a tier.
- Add Codex 0.144.1 max/ultra effort levels to the label map and server
  enum so the daemon-advertised catalog matches what the API can persist;
  add a catalog->API contract test.
- Clarify that the codex Default flag is the effort-validation anchor, not a
  user-facing badge.
- Note the cache-write measurement limitation (codex usage stream doesn't
  report cache-write tokens yet).

Co-authored-by: multica-agent <github@multica.ai>

---------

Co-authored-by: J <j@multica.ai>
Co-authored-by: multica-agent <github@multica.ai>
2026-07-10 13:00:34 +08:00
Andrew Noble
c7e10ffa85 fix(agent): offer no Claude effort levels when the CLI predates --effort
claudeEffortSuperset treated a --help with no --effort line as 'help
format drifted' and fell back to the full level superset. On a host
whose claude binary predates the flag (e.g. 2.1.2), that let
ValidateThinkingLevel approve the agent's persisted thinking_level, so
the daemon injected --effort and the CLI exited 1 with
"error: unknown option '--effort'" — hard-failing every task instead
of degrading to a plain run. Field case: a stale root-owned
/usr/local/bin/claude shadowing a current install for daemons whose
PATH orders /usr/local/bin first (Multica desktop app), while a shell-
launched daemon on the same machine resolved a current claude — the
same agent then failed or succeeded depending on which daemon won the
task claim race.

Distinguish the two cases: --effort present but value list unparsed →
keep the full-superset drift fallback; --effort absent entirely →
return no levels, so the daemon's existing per-model guard drops the
level with a warning and the task runs without the flag.

Co-authored-by: Fable Chief Strategist <noreply@anthropic.com>
2026-07-03 11:58:43 +08:00
Liu Guanzhong
4594c776e1 feat(agent): add CodeBuddy as first-class CLI backend (#3186)
* feat(agent): add codebuddyBackend struct and buildCodebuddyArgs

Introduces the codebuddy agent backend skeleton with args builder
that mirrors claudeBackend's protocol flags (stream-json, bypass
permissions, blocked args filtering) for the codebuddy CLI fork.

* feat(agent): implement codebuddyBackend.Execute with stream-json parsing

* feat(agent): wire codebuddy into New() factory and launchHeaders

* feat(agent): add codebuddy dynamic model discovery from --help

* feat(agent): add codebuddy thinking/effort discovery and providerThinkingEnums

* feat(daemon): add codebuddy CLI probe, env vars, and args support

* fix(agent): use len(models)==0 for default model instead of loop index

* fix(agent): increase codebuddy --help timeout to 35s for slow CLI startup

* fix(agent): address codebuddy PR review feedback

- Wire codebuddy into execenv: reuse claude's CLAUDE.md, .claude/skills,
  and ~/.claude/skills paths since CodeBuddy is a Claude Code fork
- Replace hardcoded 20-min timeout with runContext for zero-timeout =
  no-deadline semantics matching all other backends
- Restore runContext regression tests lost in rebase merge
- Mirror claude.go execution model: concurrent stdin write to prevent
  pipe deadlock, sync.Once for stdin closure, keep stdin open for
  control_request auto-approval mid-run
- Add control_request handling with auto-approve behavior
- Add RequestID/Request fields to codebuddySDKMessage
- Add codebuddy to metrics knownRuntimeProviders
- Add codebuddy to provider-logo.tsx (reuses ClaudeLogo)
- Consolidate --help discovery: shared codebuddyHelpOutput cache
  eliminates duplicate cold-start invocations

---------

Co-authored-by: krislliu <krislliu@tencent.com>
2026-06-12 15:22:16 +08:00
Multica Eve
e2720f7d33 feat: add opencode thinking variants
Adds OpenCode model variant discovery for thinking controls, passes saved thinking_level through opencode run --variant, and hardens verbose model parsing with fallback coverage.
2026-06-02 13:15:14 +08:00
Bohan Jiang
e1745d09ea MUL-2797 feat(agent): add Claude Opus 4.8 to model catalog & pricing (#3492)
Claude Code now ships Opus 4.8 (claude-opus-4-8). Add it to the three
places that enumerate Claude models so the picker, thinking-level
catalog, and usage cost estimates all recognize it:

- claudeStaticModels(): list Claude Opus 4.8 (Sonnet 4.6 stays default)
- claudeModelEffortAllow: Opus supports the full low..max set incl. xhigh
- MODEL_PRICING: $5/$25 in, $0.50 cache read, $6.25 5m cache write —
  same current-gen Opus tier as 4.5/4.6/4.7, confirmed against
  platform.claude.com/docs/en/about-claude/pricing

Co-authored-by: J <j@multica.ai>
Co-authored-by: multica-agent <github@multica.ai>
2026-05-29 10:28:30 +08:00
Bohan Jiang
2bec2221d2 feat(agent): per-agent thinking_level for claude + codex (MUL-2339) (#2865)
* feat(agent): persist thinking_level per agent (MUL-2339)

Adds a nullable `thinking_level` column to the `agent` table so the
backend can route a runtime-native reasoning/effort token (e.g. Claude's
`xhigh`, Codex's `minimal`) through to the agent CLI on every dispatch.

The column is intentionally TEXT rather than an enum — Claude and Codex
publish overlapping but distinct vocabularies and we want the persisted
value to round-trip exactly through whichever CLI receives it. NULL is
the "use runtime default" sentinel that every downstream consumer reads
as "do not inject --effort / reasoning_effort".

This commit is just the storage layer (migration + sqlc); subsequent
commits wire it through the API, daemon, and agent backends.

Co-authored-by: multica-agent <github@multica.ai>

* feat(agent-backend): inject reasoning effort for claude + codex (MUL-2339)

Extends ExecOptions with a runtime-native ThinkingLevel string and wires
it into the Claude and Codex backends. Discovery is driven by the local
CLI so the daemon advertises whatever the host install supports rather
than a hand-maintained list that goes stale.

Per Elon's PR1 review:
- Claude: parses `claude --help` to learn the `--effort` superset and
  projects through a per-model allow-list (xhigh is Opus-only; max is
  session-only on the smaller models). Falls back to a conservative
  static list when the binary is missing or help drift hides the line.
- Codex: drives `codex debug models --output json` so per-model
  reasoning subsets and the documented default come directly from the
  CLI. The older config-error probe trick is gone — the JSON path is
  stable and doesn't pollute stderr with an intentional misconfig.
- Cache key includes (provider, executablePath, cliVersion) so a CLI
  upgrade invalidates entries that referenced the older help / catalog.

Per Trump's PR1 constraint, all three Codex injection points
(thread/start.config, thread/resume.config, turn/start.effort) flow
through one helper (`applyCodexReasoningEffort`) so they cannot drift
independently. The shared `codexReasoningCases` fixture in
`thinking_test.go` asserts the same value→{shape, key} contract at
each site for every level the runtimes know about.

Claude's `--effort` is also added to `claudeBlockedArgs` so a user
custom_args entry can't silently outvote the daemon-injected value.

Co-authored-by: multica-agent <github@multica.ai>

* feat(api): wire thinking_level through API + daemon contract (MUL-2339)

End-to-end plumbing for the per-agent reasoning/effort setting:

- AgentResponse / TaskAgentData now carry `thinking_level`; the daemon's
  claim response includes it and the daemon's executor passes it through
  to agent.ExecOptions, where the Claude and Codex backends already know
  what to do with it.
- ModelEntry on the runtime-models wire format gains a `thinking` block
  carrying `supported_levels` + `default_level` per model so the UI can
  render a runtime-aware picker without the server having to know about
  the local CLI install. `handleModelList` projects the agent-package
  catalog (including the new Thinking field) into the wire shape.
- CreateAgent / UpdateAgent gate the field with a synchronous provider
  enum check (claude / codex only today). UpdateAgent is tri-state:
  field omitted = no change, "" = explicit clear (new
  `ClearAgentThinkingLevel` query, mirrors the existing mcp_config null
  pattern), non-empty = validate then set.

Per Trump's PR1 review, the API NEVER auto-clears on a runtime/model
swap and ALWAYS returns 400 on an unknown literal value — same shape
across CreateAgent, UpdateAgent, and combined patches that move
runtime + level in one request. Per-model combination failures (e.g.
`xhigh` against a model that only supports up to `high`) surface as a
daemon-side task error, not a silent server-side rewrite.

TS types follow the same shape: `Agent.thinking_level`,
`CreateAgentRequest`/`UpdateAgentRequest` add the field, `RuntimeModel`
grows a `thinking` block. Older backends omit the field, which the
front-end treats as "no picker for this model" — installed desktop
builds keep working.

Co-authored-by: multica-agent <github@multica.ai>

* fix(agent): correct codex debug models argv + pin via runner test (MUL-2339)

`codex debug models --output json` is rejected by codex-cli 0.131.0 —
the subcommand emits JSON on stdout by default and has no `--output`
flag. Drop the flag and add `--bundled` to skip the network refresh
discovery doesn't need. Move the argv to a package-level var and add
a test that runs a fake `codex` to assert the binary actually
receives exactly `debug models --bundled`, so the contract can't
silently drift on the next refactor.

Also teach ValidateThinkingLevel to resolve an empty model to the
provider's default model entry. Without this, every default-model
task with a persisted thinking_level would be misjudged "unknown
model" by the daemon guard.

Co-authored-by: multica-agent <github@multica.ai>

* fix(api): reject runtime switch that would leave invalid thinking_level (MUL-2339)

A PATCH that changed `runtime_id` without touching `thinking_level`
used to silently keep the existing value, so a Claude agent storing
`max` could land on a Codex runtime where `max` is not a recognised
token at all, and the daemon would receive a literal-invalid level.

Hold the same "always 400 on literal-invalid, never silent coerce"
rule on this implicit path. When runtime_id changes and the existing
value is not in the new provider's enum, return 400 with the
recovery options (clear via `thinking_level=""` or re-set in the
same PATCH).

Add coverage for both the kept-when-still-valid and the rejected
cases, plus the two recovery paths (clear and replace).

Co-authored-by: multica-agent <github@multica.ai>

* fix(daemon): guard runTask with per-model thinking_level validator (MUL-2339)

ValidateThinkingLevel existed but had no call site — `task.Agent.
ThinkingLevel` flowed straight into ExecOptions, so `xhigh` configured
on a non-Opus Claude model, or API-side stale values that escaped the
provider enum gate, would be injected anyway.

Run the validator before building ExecOptions. Invalid combinations
log a warning and drop the level instead of failing the task: the
agent still runs, just at the runtime's default reasoning effort.
Discovery errors fail open (keep the level, let the CLI surface any
objection) so a transient `claude --help` failure can't strand work.

Empty model is forwarded as-is; the validator resolves it to the
provider's default model internally per the cross-package contract.

Co-authored-by: multica-agent <github@multica.ai>

* chore(agent): drop stale `--output json` comments + unused scanner (MUL-2339)

Codex CLI's `debug models` subcommand emits JSON without an `--output`
flag, and `parseCodexDebugModels` never read from the bufio.Scanner.
Sync the comments with the actual invocation and remove the dead init.

Co-authored-by: multica-agent <github@multica.ai>

---------

Co-authored-by: multica-agent <github@multica.ai>
2026-05-20 12:30:10 +08:00