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docs: sync model catalog with dashboard API - #24

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docs: sync model catalog with dashboard API#24
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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

Model Field Was Now
zlm-v1-moderation-edge max tokens 4,000 800
zlm-v2-iab-classify-edge-enriched max tokens 400 800
glm-5.2 context window 1,048,576 262,144

Also fixed in integrations/hermes.mdx's model table (not scanned by the audit tool): deepseek-v4-flash input/output pricing was stale ($0.07/$0.14 → $0.16/$0.38), and glm-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, and docs/text-classification.mdx; the multilingual routing option removed from the zerogpu_classify_iab MCP tool in integrations/mcp.mdx; redirected /api-reference/models/zlm-v1-multi-iab-classify to /docs/text-classification.
  • all-minilm-l6-v2 and bge-small-en-v1.5 — the API no longer returns any embedding models, so docs/embeddings.mdx and api-reference/embeddings.mdx are deleted (cascade: the task page and endpoint reference page they described are now empty), along with both model pages, both playgrounds, the /embeddings path, and the now-orphaned CreateEmbeddingRequest/Embedding/EmbeddingUsage/EmbeddingResponse schemas in api-reference/openapi/zerogpu.openapi.json. The zerogpu_embed MCP tool is removed from integrations/mcp.mdx and integrations/hermes.mdx (tool count 14 → 13). Redirected the old URLs to /docs/model-catalog.
  • skills/investor-outreach/SKILL.md and its cookbook (cookbook/hermes-investor-outreach.mdx) used zerogpu_embed to rank investor candidates by cosine similarity. Since no embedding model remains, the ranking step now uses zerogpu_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 models
  • docs.json and every edited OpenAPI file parse as valid JSON
  • Every /api-reference/models/<slug> link in docs.json and docs/*.mdx resolves to an existing file
  • N models: counts on every Model library by task card match their listed ids

🤖 Generated with Claude Code

https://claude.ai/code/session_01VByDUXLbdehN4HnzaGgFDC


Generated by Claude Code

- 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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