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[BOT ISSUE] fix: add missing Fireworks models glm-5 and minimax-m2p5 #541

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Description

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Missing models

Two Fireworks AI serverless models are listed on both the Fireworks models page and the Fireworks pricing page but are absent from the model catalog (packages/proxy/schema/model_list.json). The catalog already has closely related models from the same families (accounts/fireworks/models/glm-5p1, accounts/fireworks/models/minimax-m2p7).

Model details

accounts/fireworks/models/glm-5

Field Value
Model ID accounts/fireworks/models/glm-5
Format openai
Flavor chat
Input cost (per 1M tokens) $1.00
Output cost (per 1M tokens) $3.20
Cached input cost (per 1M tokens) $0.20
Max input tokens 202752
Display name GLM 5
Available providers ["fireworks"]

accounts/fireworks/models/minimax-m2p5

Field Value
Model ID accounts/fireworks/models/minimax-m2p5
Format openai
Flavor chat
Input cost (per 1M tokens) $0.30
Output cost (per 1M tokens) $1.20
Cached input cost (per 1M tokens) $0.03
Max input tokens 196608
Display name MiniMax M2.5
Available providers ["fireworks"]

Verification checklist

  • Cross-source confirmation: Both models confirmed on (1) Fireworks models gallery page with pricing and context windows, and (2) Fireworks serverless pricing documentation page with input/output/cached pricing.
  • Recent commits check: Neither model appears in any of the last 30 commits touching model_list.json.
  • ID format validation: Follows existing accounts/fireworks/models/{name} convention used by sibling models accounts/fireworks/models/glm-5p1 (line 9746) and accounts/fireworks/models/minimax-m2p7 (line 10296).

Verification notes

Field Source
Model IDs, context windows Fireworks models page
Pricing (input/output/cached) Fireworks serverless pricing docs
Format, flavor, provider convention Inferred from sibling catalog entries glm-5p1 and minimax-m2p7

Fields NOT verified from official sources:

  • max_output_tokens — not published on the models page or pricing page. The sibling glm-5p1 entry uses 128,000; minimax-m2p7 has no max_output_tokens set. The downstream fix job should verify via the API.
  • multimodal — not confirmed; omitted.
  • reasoning — the sibling glm-5p1 has reasoning: true, but this is not verified for glm-5. Omitted from spec.
{
  "kind": "missing_model",
  "provider": "fireworks",
  "models": ["accounts/fireworks/models/glm-5", "accounts/fireworks/models/minimax-m2p5"],
  "status": "active",
  "model_specs": {
    "accounts/fireworks/models/glm-5": {
      "format": "openai",
      "flavor": "chat",
      "input_cost_per_mil_tokens": 1.0,
      "output_cost_per_mil_tokens": 3.2,
      "input_cache_read_cost_per_mil_tokens": 0.2,
      "displayName": "GLM 5",
      "max_input_tokens": 202752,
      "available_providers": ["fireworks"]
    },
    "accounts/fireworks/models/minimax-m2p5": {
      "format": "openai",
      "flavor": "chat",
      "input_cost_per_mil_tokens": 0.3,
      "output_cost_per_mil_tokens": 1.2,
      "input_cache_read_cost_per_mil_tokens": 0.03,
      "displayName": "MiniMax M2.5",
      "max_input_tokens": 196608,
      "available_providers": ["fireworks"]
    }
  },
  "source_urls": [
    "https://fireworks.ai/models",
    "https://docs.fireworks.ai/serverless/pricing"
  ]
}

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