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zai:: joins the direct providers exactly the way deepseek:: did: prefix and credential registry, ZAI_API_KEY plus a ZAI_PLAN endpoint selector (provider_models.resolve_zai_base_url: empty/payg = api.z.ai/api/paas/v4, coding = the Coding Plan endpoint), the routing target, live catalog fetch, provider Test, settings card, onboarding contract, review-fallback roles, single-provider startup and review detection, secret masking, benchmark env hygiene, and docs. Reasoning effort now reaches Z.ai. The provider serves an ABSENT reasoning_effort at its maximum tier, so every call on the old generic compatible route was billed at max regardless of the configured effort. The canonical scale is projected onto Z.ai's own low/high/max enum (ZAI_REASONING_EFFORT_ALIASES: none/minimal -> low, medium -> high, xhigh/ultra -> max), disclosed as reasoning_effort_clamped when the tier changes; GLM-5.3 rejects every other value and cannot disable thinking (HTTP 400 code 1210), and forced tool_choice works with thinking on, so there is no DeepSeek-style suppression arm. The projection is keyed on the provider id the owner configured, never on a model name: a GLM served from an owner's own OpenAI-compatible endpoint keeps today's behavior. The provider port is the contributor's own work from the closed PR #1194, narrowed to Z.ai (the DashScope and Moonshot lanes were not measured and stay out). 07-configuration gains two settings rows and one route paragraph (budget 37300 -> 38400), 02-naming records the dated Z.ai probe in the external-fact inventory, and the onboarding bootstrap fixture and data-layout inventory are regenerated. Co-authored-by: josephsteuerjr <josephsteuerjr@gmail.com> |
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| .. | ||
| __init__.py | ||
| launcher_audit.py | ||
| manifests.py | ||
| model_slots.py | ||
| official_commands.py | ||
| result_index.py | ||
| run_roots.py | ||
| secrets.py | ||
| server_runner.py | ||
| subprocesses.py | ||