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provider-zai

v0.4.1

Z.AI Chat Completions provider worker; implements provider::zai::stream and provider::zai::refresh_models behind llm-router.

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install
$iii worker add provider-zai
  • macOS: arm64 · x64
  • Linux: arm64 · armv7 · x64
  • Windows: arm64 · x64 · x86

exact versions are immutable; binary and bundle artifacts are digest-pinned.

README.md

provider-zai

Z.AI (GLM) Chat Completions provider worker behind llm-router. Implements the provider protocol from tech-specs/2026-06-agentic/llm-router.md: provider::zai::stream (SSE chunks → AssistantMessageEvent frames into a router-owned channel) and provider::zai::refresh_models (curated catalog → router::models::reconcile — Z.AI exposes no models-listing endpoint).

Default upstream: https://api.z.ai/api/coding/paas/v4/chat/completions — the GLM Coding Plan endpoint (subscription keys, the common case). The catalog follows the resolved endpoint: the coding endpoint reconciles only the plan's models (glm-5.2, glm-5.1, glm-5, glm-5-turbo, glm-4.7, glm-4.5-air); override api_url to https://api.z.ai/api/paas/v4/chat/completions (pay-as-you-go) for the full GLM lineup.

Behavior

  • Registration: self-declares via router::provider::register with backoff until acked, and re-declares on the router::ready trigger type. The declaration carries no models and credential_env_var: ZAI_API_KEY; the post-register refresh reconciles the curated catalog, gated on a configured credential (no key → empty slice, so the picker never shows unusable rows).
  • Identity binding: the router returns a registration_token on first registration; it is persisted in iii-state (scope provider-zai, key registration_token) and presented on every later register/resolve/reconcile. If that state is lost the router rejects re-registration — the operator must clear the binding on the router side.
  • Credentials: resolved per request via router::provider::resolve (config slice → ZAI_API_KEY env on the router → none). Both api_key and oauth credential shapes are sent as Authorization: Bearer; v1 performs no OAuth refresh. Keys are endpoint-bound on Z.AI's side: GLM Coding Plan keys work on the default coding endpoint but fail on the general endpoint with business code 1113, and pay-as-you-go Open Platform keys need the api_url override to the general endpoint.
  • Catalog: src/curated.rs is the source of truth — ids, windows, output ceilings, capability flags, and pricing (USD per MTok) from docs.z.ai. Update it when Z.AI ships new models; there is no live listing to discover them from. refresh_models reconciles the slice matching the resolved endpoint (Coding Plan subset vs full table).
  • Liveness: ping at least every 30s of upstream silence; a failed channel write (caller gone / router::abort) drops the SSE receiver and aborts the in-flight HTTP request.
  • Errors: 401/403 → auth_expired, 429 → rate_limited (except insufficient_quota/code 1113, billing walls → permanent), context_length_exceededcontext_overflow, 5xx/network → transient, other 4xx → permanent. No transport retries here — the router owns retry policy.
  • Structured output: json_object mode only — Z.AI documents no strict json_schema mode. A response_format schema is dropped with a report-and-continue warning; every curated record declares supports_structured_output: false. The caller must mention "JSON" in the prompt per Z.AI's rules.
  • Reasoning: every current GLM chat model takes the thinking: {type: enabled|disabled} toggle — sent explicitly, since the API default (enabled, auto-decide) would buy unrequested thinking tokens. thinking_level additionally maps 1:1 to reasoning_effort on GLM-5.2+ (src/reasoning.rs); earlier families are not documented to take the param, so it is omitted for them. Reasoning models stream their chain of thought as reasoning_content deltas, which the worker surfaces as thinking blocks on the channel (src/sse.rs); completion_tokens_details.reasoning_tokens lands on usage.reasoning.
  • Tool streaming: tool_stream: true rides along whenever tools are present on GLM-4.6-or-newer models, so tool-call arguments stream incrementally; older families deliver whole-chunk arguments, which the SSE decoder handles either way.
  • Prompt caching: implicit on Z.AI's side — no request markers. prompt_tokens_details.cached_tokens lands on usage.cache_read, billed at the cached-input rate in the pricing table.

Tests

cargo test                                            # unit (pure modules + TCP stubs)
III_ENGINE_BIN=$(which iii) cargo test --test integration -- --test-threads=1

The integration suite spawns a real engine, the real router (path dep), this provider, and a local stub upstream — no external API calls anywhere.

Running

The binary takes the standard worker CLI flags: --url (engine WebSocket, default ws://127.0.0.1:49134, falls back to the III_WS_URL environment variable), --manifest (print the registry manifest and exit), and --config (accepted but ignored with a warning — provider config comes from the llm-router configuration entry).