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* fix: canonical Anthropic model IDs + reverse alias + Opus 4.7 pricing
Replace claude-sonnet-4-6-20250929 with claude-sonnet-4-6 everywhere it
appears as a model ID. Starting with Claude 4.6, Anthropic API IDs are
dateless and pinned — the date suffix was carried forward from Sonnet 4.5
by mistake, producing a phantom ID that 404'd on every call.
Production impact in v0.31.6: isAvailable("chat") returned false in every
code path that loaded the recipe's model list, and extractFactsFromTurn
silently returned []. The headline real-time facts extraction feature
was a no-op on the happy path.
- gateway.ts:46 DEFAULT_CHAT_MODEL -> anthropic:claude-sonnet-4-6
- recipes/anthropic.ts: chat + expansion model lists drop date suffix;
remove wrong-direction alias (claude-sonnet-4-6 -> -20250929);
add reverse alias (-20250929 -> claude-sonnet-4-6) so stale user
configs in models.dream.synthesize etc. keep working
- facts/extract.ts: routes through resolveModel; both fallbacks corrected
- anthropic-pricing.ts: Opus 4.7 corrected $15/$75 -> $5/$25 per
Anthropic docs (the $15/$75 was Opus 4.0 pricing)
- cross-modal-eval/runner.ts: PRICING now reads from ANTHROPIC_PRICING
for Anthropic models instead of duplicating the map (single source of
truth — fixes the drift trap that motivated this whole patch)
Tests: cherry-pick PR #830's test/anthropic-model-ids.test.ts verbatim
(6 recipe-shape guardrails). Update gateway-chat tests to assert reverse
alias resolves correctly. Update budget-meter test for new Opus pricing.
Co-Authored-By: garrytan-agents <garrytan-agents@users.noreply.github.com>
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
* feat: model tier system + recipe-models merge + async reconfigure hook
Add 4-tier model routing (utility/reasoning/deep/subagent) so users can
swap defaults with one config key. Each tier maps to a class of work;
override globally via models.default or per-tier via models.tier.<tier>.
Codex flagged three real architecture issues in the v0.31.12 plan review;
this commit addresses each.
F3 — sync/async timing of configureGateway:
- buildGatewayConfig stays synchronous (pre-engine-connect callers
keep working)
- New reconfigureGatewayWithEngine(engine) async function re-resolves
expansion + chat defaults through resolveModel after engine.connect()
- cli.ts wires the re-stamp into the post-connect path
F4/F5 — softening assertTouchpoint was too broad:
- Earlier plan was to flip native-recipe validation from throw to warn,
affecting gateway.chat AND gateway.expand AND gateway.embed
- Instead: per-gateway-instance recipe-models merge. assertTouchpoint
gets an optional extendedModels Set; when the user opted into a model
via config, it bypasses the throw. Source-code typos still fail fast.
- Existing contract test (test/ai/gateway-chat.test.ts:106) preserved
Tier defaults are TIER_DEFAULTS in model-config.ts. Resolution chain
inserts at step 5 (between models.default and env var). Each existing
resolveModel call site gains a tier: arg — think (deep), cycle/synthesize
(reasoning + utility for verdict), patterns/drift (reasoning), auto-think
(deep), facts/extract (reasoning).
Plus 10 new tests pinning tier precedence, subagent-tier fallback when
models.default is non-Anthropic, and the F6 alias-chain conflict case.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
* feat: subagent runtime enforcement for non-Anthropic models (3 layers)
The subagent loop uses Anthropic's Messages API with prompt caching on
system + tools. OpenAI/Google have different shapes. Setting
models.default = openai:gpt-5.5 and routing the subagent there silently
breaks the loop.
Codex F1+F2+F13 in the v0.31.12 plan review pointed out that "warn at
doctor" wasn't enough — handlers/subagent.ts:148 still did
`const model = data.model ?? DEFAULT_MODEL` and called Anthropic directly,
so a job submitted with data.model = openai:gpt-5.5 bypassed any tier
logic and failed at runtime with a confusing provider error.
Three layers of enforcement, defense in depth:
Layer 1 (queue.ts:add) — submit-time guard. When name === 'subagent'
and data.model is set, validate the provider. Non-Anthropic rejects
before the job enters the queue.
Layer 2 (handlers/subagent.ts) — tier-resolution fallback. The handler
routes through resolveModel({ tier: 'subagent' }). If the chain resolves
to a non-Anthropic provider (via models.default or models.tier.subagent),
the resolver warns + falls back to TIER_DEFAULTS.subagent
(claude-sonnet-4-6).
Layer 3 (doctor.ts:checkSubagentProvider) — surfacing layer. Warns when
models.tier.subagent or models.default is explicitly set to a
non-Anthropic provider, with a paste-ready fix command. Lets users see
config drift before submitting a job.
Tests: 3 new cases in test/agent-cli.test.ts asserting the queue-level
guard rejects non-Anthropic data.model. Existing test/subagent-handler
suite still passes.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
* feat: gbrain models CLI + doctor probe + silent-no-op regression test
New gbrain models CLI gives the agent and user visibility into routing.
Read mode prints the tier table, current overrides, per-task config,
and aliases with source-of-truth attribution per row. Doctor subcommand
fires a 1-token probe to each configured chat/expansion model and
classifies failures (model_not_found / auth / rate_limit / network /
unknown) so config-time invalid IDs surface without waiting for a
production call that silently degrades.
Per Codex F11 — no specific dollar cost claim in either the help text
or the CHANGELOG (providers have minimum-output billing and prompt-cache
rounding that vary). Probe is opt-in (gbrain doctor --probe-models),
never auto-runs. --skip=<provider> narrows the matrix for cost-sensitive
operators.
Per Codex F7+F8+F15 (the structural regression gap): new
test/facts-extract-silent-no-op.test.ts is THE regression test for the
bug class that motivated v0.31.12. Five cases including the smoking-gun:
when chat IS available, extractFactsFromTurn MUST actually call the chat
transport, not silently return []. Uses the gateway's
__setChatTransportForTests seam so it runs in every shard with no API key.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
* chore: bump version and changelog (v0.31.12)
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
* docs: document v0.31.12 model tier system + gbrain models CLI
Add CLAUDE.md Key Files annotations for the v0.31.12 work:
src/core/model-config.ts (tier system + isAnthropicProvider + TIER_DEFAULTS),
src/core/ai/model-resolver.ts (assertTouchpoint extendedModels arg),
src/core/ai/gateway.ts (reconfigureGatewayWithEngine + extended-models registry),
src/core/minions/queue.ts (subagent submit-time guard, layer 1 of 3),
src/commands/models.ts (new gbrain models CLI + doctor probe),
src/commands/doctor.ts (subagent_provider check, layer 3 of 3),
src/core/ai/recipes/anthropic.ts (canonical model IDs + reverse alias),
src/core/anthropic-pricing.ts (Opus 4.7 corrected to \$5/\$25).
Add CLAUDE.md commands section for gbrain models + gbrain models doctor
+ power-user config recipes. Add README.md command-table rows for the
same. Regenerate llms-full.txt so the bundled docs stay in sync.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
* docs: scrub --probe-models reference (flag not actually wired)
The v0.31.12 CHANGELOG and skills/conventions/model-routing.md both
referenced `gbrain doctor --probe-models` as an integrated probe entry
point. The flag was never implemented — only `gbrain models doctor`
landed as the probe surface. Caught by /document-release subagent.
Drop the references rather than wire an untested flag at the last minute.
The probe is reachable via `gbrain models doctor`; users who want it
in doctor's output run that command separately.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
---------
Co-authored-by: garrytan-agents <garrytan-agents@users.noreply.github.com>
Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
3.7 KiB
3.7 KiB
Model Routing Convention
Two distinct concerns share this name. Read both — they apply at different moments.
1. gbrain's internal tier system (v0.31.12+)
This is how gbrain itself picks which Claude/OpenAI/Google model runs each internal task (chat, expansion, synthesis, classification, etc.).
Four tiers:
| Tier | Purpose | Default | Examples |
|---|---|---|---|
utility |
fast classification, expansion, verdict, dedup | claude-haiku-4-5-20251001 |
query expansion, facts contradiction classifier, dream synthesize verdict |
reasoning |
default chat, synthesis, generation | claude-sonnet-4-6 |
gateway chat, dream synthesize, patterns, facts extraction |
deep |
slow, expensive reasoning | claude-opus-4-7 |
gbrain think, auto-think, cross-modal eval slot B |
subagent |
Anthropic-only multi-turn tool loop | claude-sonnet-4-6 |
gbrain agent run |
Override priority (highest first):
- CLI flag (
--model opus) - Per-task config (
gbrain config set models.dream.synthesize opus) - Deprecated per-task config (stderr-warns once, then honored)
- Global default (
gbrain config set models.default opus) — single hammer - Tier override (
gbrain config set models.tier.reasoning opus) - Env var (
GBRAIN_MODEL=opus) - Tier default (the table above)
- Hardcoded caller fallback
Power-user recipes:
# Use opus for everything
gbrain config set models.default opus
# Use opus only for reasoning + deep, keep haiku for utility
gbrain config set models.tier.reasoning opus
gbrain config set models.tier.deep opus
# Custom alias, then use it everywhere
gbrain config set models.aliases.frontier anthropic:claude-opus-4-7
gbrain config set models.default frontier
Visibility:
gbrain models # print current routing table
gbrain models doctor # 1-token probe to each configured model
Subagent tier exists because the loop is Anthropic-only. The handler
uses Messages API + prompt caching on system + tools. Setting
models.default = openai:gpt-5.5 silently breaks the loop, so we isolate
tier.subagent. Three enforcement layers: submit-time guard in
MinionQueue.add, tier-resolution fallback in resolveModel, doctor
subagent_provider check.
When adding a new LLM call, route through resolveModel() with a tier —
never hardcode a model string. The v0.31.6 chat default
(claude-sonnet-4-6-20250929) was a phantom ID that 404'd the Anthropic
API and made extractFactsFromTurn silently return []. The tier system
- doctor probe is the structural fix for that bug class.
2. Subagent spawn routing
When the user-facing agent (Claude in the main session) chooses which model to spawn a sub-agent on, this table applies. It's about WHERE to send the work, not what gbrain calls internally.
| Task | Model | Why |
|---|---|---|
| Main session / complex instructions | Opus (default) | Best overall quality |
| Signal detection / entity extraction | Sonnet | Fast, cheap, fires every message |
| Research / synthesis | DeepSeek or Qwen | 25-40x cheaper for large context |
| Fast lightweight sub-agents | Groq | 500 tok/s, good for simple tasks |
| Judge tests / quality grading | Haiku | Cheap, good enough for pass/fail |
Refusal routing
When a model refuses a request:
- Re-spawn on a different model (don't announce the switch)
- Fallback chain: primary → DeepSeek → Qwen → Groq
- Never show the refusal to the user
- If all models refuse, escalate to the user
Spawn rules
- 3+ items to process → spawn a sub-agent
-
2 tool calls that don't need real-time judgment → spawn
- Main thread must stay responsive to the user
- Signal detection always spawns (parallel, don't block)