docs: sync model catalog with dashboard API - #24
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- zlm-v1-moderation-edge: max tokens 4,000 -> 800 (catalog, moderation) - zlm-v2-iab-classify-edge-enriched: max tokens 400 -> 800 (catalog, text-classification, ad-tech) - glm-5.2: context 1,048,576 -> 262,144 (catalog, open-weight, text-generation, model page) - integrations/hermes.mdx: deepseek-v4-flash pricing and glm-5.2 context fixed in the model table (parser-skipped) - remove zlm-v1-multi-iab-classify: deleted page and playground, dropped from enums, catalog, text-classification, mcp.mdx multilingual routing; redirected to /docs/text-classification - remove all-minilm-l6-v2 and bge-small-en-v1.5: no embedding models remain in the API, so deleted docs/embeddings.mdx, api-reference/embeddings.mdx, both model pages and playgrounds, the /embeddings path and its schemas from the OpenAPI spec, and the zerogpu_embed MCP tool from mcp.mdx and hermes.mdx (13 tools); redirected old URLs to /docs/model-catalog - skills/investor-outreach/SKILL.md and its cookbook: replaced the zerogpu_embed ranking step with zerogpu_classify_zero_shot (deberta-v3-small), since embeddings are no longer offered Source: https://api-dashboard.zerogpu.ai/api/models Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01VByDUXLbdehN4HnzaGgFDC
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Automated model-catalog sync. The dashboard API (
https://api-dashboard.zerogpu.ai/api/models) is the source of truth; every value below was taken from it. The API returned 14 models.Corrected
zlm-v1-moderation-edgezlm-v2-iab-classify-edge-enrichedglm-5.2Also fixed in
integrations/hermes.mdx's model table (not scanned by the audit tool):deepseek-v4-flashinput/output pricing was stale ($0.07/$0.14 → $0.16/$0.38), andglm-5.2's context column matched the old 1,048,576 value.Added
(none — no models in the API are missing from the docs)
Removed
zlm-v1-multi-iab-classify— page and playground deleted, dropped from the OpenAPI enums,docs/model-catalog.mdx, anddocs/text-classification.mdx; themultilingualrouting option removed from thezerogpu_classify_iabMCP tool inintegrations/mcp.mdx; redirected/api-reference/models/zlm-v1-multi-iab-classifyto/docs/text-classification.all-minilm-l6-v2andbge-small-en-v1.5— the API no longer returns any embedding models, sodocs/embeddings.mdxandapi-reference/embeddings.mdxare deleted (cascade: the task page and endpoint reference page they described are now empty), along with both model pages, both playgrounds, the/embeddingspath, and the now-orphanedCreateEmbeddingRequest/Embedding/EmbeddingUsage/EmbeddingResponseschemas inapi-reference/openapi/zerogpu.openapi.json. Thezerogpu_embedMCP tool is removed fromintegrations/mcp.mdxandintegrations/hermes.mdx(tool count 14 → 13). Redirected the old URLs to/docs/model-catalog.skills/investor-outreach/SKILL.mdand its cookbook (cookbook/hermes-investor-outreach.mdx) usedzerogpu_embedto rank investor candidates by cosine similarity. Since no embedding model remains, the ranking step now useszerogpu_classify_zero_shot(deberta-v3-small) to score each candidate's thesis against the company one-liner instead — noting this substitution here since it's a judgment call, not a value taken directly from the API.Verification
audit-models.py --strict— 0 findings across all 14 modelsdocs.jsonand every edited OpenAPI file parse as valid JSON/api-reference/models/<slug>link indocs.jsonanddocs/*.mdxresolves to an existing fileN models:counts on everyModel library by taskcard match their listed ids🤖 Generated with Claude Code
https://claude.ai/code/session_01VByDUXLbdehN4HnzaGgFDC
Generated by Claude Code