chore(models): drop 15 models no longer on the router; refresh providers

Remove model entries from prod.yaml/dev.yaml whose ids are no longer
returned by router.huggingface.co/v1/models. These were dead overrides
(models.ts only applies MODELS entries to ids present in the router
response), so they never rendered. Removed: pearl-ai/Gemma-4-31B-it-pearl,
zai-org/GLM-4.7-FP8, EssentialAI/rnj-1-instruct, moonshotai/Kimi-K2-Thinking,
Qwen/QwQ-32B, deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B,
katanemo/Arch-Router-1.5B, meta-llama/Llama-3.2-1B-Instruct,
deepseek-ai/DeepSeek-R1-Distill-Qwen-32B,
Qwen/Qwen3-Coder-480B-A35B-Instruct-FP8, meta-llama/Meta-Llama-3-70B-Instruct,
NousResearch/Hermes-2-Pro-Llama-3-8B, baidu/ERNIE-4.5-300B-A47B-Base-PT,
Sao10K/L3-70B-Euryale-v2.1, deepseek-ai/DeepSeek-Prover-V2-671B.

Bump @huggingface/inference 4.11.3 -> 4.13.21 so PROVIDERS_HUB_ORGS
includes deepinfra and nvidia; deepinfra now serves many router models
and its avatar/label was missing. This covers all 13 providers the
router currently uses.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01DnzEAqrEE7qdFtWhSpWG3G

Author: claude

chart/env/dev.yaml

@@ -90,7 +90,6 @@ envVars:
       { "id": "Qwen/Qwen3.6-27B", "description": "Dense 27B hybrid with DeltaNet attention and 1M context.", "supportsArtifacts": true },
       { "id": "meta-llama/Llama-4-Scout-17B-16E-Instruct", "description": "Native multimodal 17B MoE with 16 experts and very long context."},
       { "id": "CohereLabs/c4ai-command-r7b-12-2024", "description": "Compact 7B Command R for multilingual RAG, tool use, and agents." },
-      { "id": "pearl-ai/Gemma-4-31B-it-pearl", "description": "Community Gemma-4-31B variant integrated with Pearl mining for chain-validated inference."},
       { "id": "inclusionAI/Ling-2.6-1T", "description": "1T MoE with 50B active params, hybrid MLA-Linear attention, and fast thinking.", "supportsArtifacts": true },
       { "id": "deepseek-ai/DeepSeek-V4-Pro", "description": "Frontier 1.6T MoE with 49B active params, hybrid attention, and 1M context.", "parameters": { "max_tokens": 98304 }, "supportsReasoning": true, "supportsArtifacts": true },
       { "id": "deepseek-ai/DeepSeek-V4-Flash", "description": "Compact 284B MoE with 13B active params, hybrid attention, and 1M context.", "parameters": { "max_tokens": 49152 }, "supportsArtifacts": true },
@@ -119,11 +118,9 @@ envVars:
       { "id": "Qwen/Qwen3-Coder-Next", "description": "Ultra-sparse coding MoE for repository-scale agents with 256K context." },
       { "id": "moonshotai/Kimi-K2.5", "description": "Native multimodal agent with agent swarms for parallel tool orchestration." },
       { "id": "zai-org/GLM-4.7", "description": "Flagship GLM MoE for coding, reasoning, and agentic tool use." , "supportsReasoning": true },
-      { "id": "zai-org/GLM-4.7-FP8", "description": "FP8 GLM-4.7 for efficient inference with strong coding." , "supportsReasoning": true },
       { "id": "MiniMaxAI/MiniMax-M2.1", "description": "MoE agent model with multilingual coding and fast outputs."},
       { "id": "zai-org/AutoGLM-Phone-9B-Multilingual", "description": "Mobile agent for multilingual Android device automation." },
       { "id": "utter-project/EuroLLM-22B-Instruct-2512", "description": "European multilingual model for all EU languages and translation." },
-      { "id": "EssentialAI/rnj-1-instruct", "description": "8B code and STEM model rivaling larger models on agentic coding, math, and tool use." },
       { "id": "MiniMaxAI/MiniMax-M2", "description": "Compact MoE model tuned for fast coding, agentic workflows, and long-context chat." , "supportsReasoning": true },
       { "id": "Qwen/Qwen3-VL-30B-A3B-Instruct", "description": "Flagship Qwen3 vision-language model for high-accuracy image, text, and video reasoning." },
       { "id": "Qwen/Qwen3-VL-30B-A3B-Thinking", "description": "Thinking-mode Qwen3-VL that emits detailed multimodal reasoning traces for difficult problems."},
@@ -132,7 +129,6 @@ envVars:
       { "id": "allenai/Olmo-3-7B-Instruct", "description": "Lightweight Olmo assistant for instruction following, Q&A, and everyday open-source workflows." },
       { "id": "deepcogito/cogito-671b-v2.1", "description": "Frontier-scale 671B MoE focused on deep reasoning, math proofs, and complex coding."},
       { "id": "deepcogito/cogito-671b-v2.1-FP8", "description": "FP8 Cogito v2.1 making 671B-scale reasoning more affordable to serve and experiment with."},
-      { "id": "moonshotai/Kimi-K2-Thinking", "description": "Reasoning-focused Kimi K2 variant for deep chain-of-thought and large agentic tool flows." , "supportsReasoning": true },
       { "id": "openai/gpt-oss-safeguard-20b", "description": "Safety-focused gpt-oss variant for content classification, policy enforcement, and LLM output filtering." , "supportsReasoning": true },
       { "id": "zai-org/GLM-4.5", "description": "Flagship GLM agent model unifying advanced reasoning, coding, and tool-using capabilities."},
       { "id": "zai-org/GLM-4.5V-FP8", "description": "FP8 vision-language GLM-4.5V for efficient multilingual visual QA, understanding, and hybrid reasoning."},    
@@ -168,21 +164,15 @@ envVars:
       { "id": "zai-org/GLM-4.5-Air", "description": "Efficient GLM strong reasoning and tool use at lower cost."},
       { "id": "Qwen/Qwen2.5-7B-Instruct", "description": "Compact instruction model solid for basic conversation and tasks." },
       { "id": "Qwen/Qwen3-32B", "description": "General purpose Qwen strong for complex queries and dialogues." },
-      { "id": "Qwen/QwQ-32B", "description": "Preview Qwen showcasing next generation features and alignment."},
       { "id": "Qwen/Qwen3-235B-A22B-Instruct-2507", "description": "Flagship instruction Qwen near state of the art across domains." },
       { "id": "meta-llama/Llama-3.3-70B-Instruct", "description": "Improved Llama alignment and structure powerful complex conversations." },
-      { "id": "deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B", "description": "Tiny distilled Qwen stepwise math and logic reasoning."},
       { "id": "Qwen/Qwen3-235B-A22B", "description": "Qwen base at flagship scale ideal for custom fine tuning." },
       { "id": "Qwen/Qwen2.5-Coder-32B-Instruct", "description": "Code model strong generation and tool use bridges sizes." },
-      { "id": "katanemo/Arch-Router-1.5B", "description": "Lightweight router model directs queries to specialized backends." },
-      { "id": "meta-llama/Llama-3.2-1B-Instruct", "description": "Ultra small Llama handles basic Q and A and instructions." },
       { "id": "deepseek-ai/DeepSeek-R1-Distill-Qwen-7B", "description": "Distilled Qwen excels at stepwise logic in compact footprint."},
       { "id": "deepseek-ai/DeepSeek-V3", "description": "General language model direct answers strong creative and knowledge tasks." },
       { "id": "deepseek-ai/DeepSeek-V3-0324", "description": "Updated V3 better reasoning and coding strong tool use." },
       { "id": "CohereLabs/command-a-translate-08-2025", "description": "Translation focused Command model high quality multilingual translation." },
-      { "id": "deepseek-ai/DeepSeek-R1-Distill-Qwen-32B", "description": "Distilled from R1 strong reasoning standout dense model."},
       { "id": "baidu/ERNIE-4.5-VL-424B-A47B-Base-PT", "description": "Multimodal base text image pretraining for cross modal understanding." },
-      { "id": "Qwen/Qwen3-Coder-480B-A35B-Instruct-FP8", "description": "Quantized giant coder faster lighter retains advanced code generation." },
       { "id": "deepseek-ai/DeepSeek-R1-0528", "description": "R1 update improved reasoning, fewer hallucinations, adds function calling.", "parameters": { "max_tokens": 32000 }},
       { "id": "Qwen/Qwen3-14B", "description": "Balanced Qwen good performance and efficiency for assistants." },
       { "id": "MiniMaxAI/MiniMax-M1-80k", "description": "Long context MoE very fast excels at long range reasoning and code."},
@@ -193,23 +183,18 @@ envVars:
       { "id": "Qwen/Qwen2.5-72B-Instruct", "description": "Accurate detailed instruction model supports tools and long contexts." },
       { "id": "meta-llama/Llama-Guard-4-12B", "description": "Safety guardrail model filters and enforces content policies." },
       { "id": "CohereLabs/command-a-vision-07-2025", "description": "Command model with image input captioning and visual QA." },
-      { "id": "meta-llama/Meta-Llama-3-70B-Instruct", "description": "Instruction tuned Llama improved reasoning and reliability over predecessors." },
-      { "id": "NousResearch/Hermes-2-Pro-Llama-3-8B", "description": "Small Hermes highly steerable maximized helpfulness for basics." },
       { "id": "Sao10K/L3-8B-Stheno-v3.2", "description": "Community Llama variant themed tuning and unique conversational style." },
       { "id": "CohereLabs/c4ai-command-r-08-2024", "description": "Cohere Command variant instruction following with specialized tuning." },
-      { "id": "baidu/ERNIE-4.5-300B-A47B-Base-PT", "description": "Large base model foundation for specialized language systems." },
       { "id": "CohereLabs/aya-expanse-32b", "description": "Aya Expanse large comprehensive knowledge and reasoning capabilities." },
       { "id": "CohereLabs/c4ai-command-a-03-2025", "description": "Updated Command assistant improved accuracy and general usefulness." },
       { "id": "CohereLabs/command-a-reasoning-08-2025", "description": "Command variant optimized for complex multi step logical reasoning." },
       { "id": "alpindale/WizardLM-2-8x22B", "description": "Multi expert WizardLM MoE approach for efficient high quality generation." },
       { "id": "deepseek-ai/DeepSeek-R1-Distill-Llama-70B", "description": "Llama distilled from R1 improved reasoning enterprise friendly."},
-      { "id": "Sao10K/L3-70B-Euryale-v2.1", "description": "Creative community instruct model with distinctive persona." },
       { "id": "CohereLabs/aya-vision-32b", "description": "Larger Aya Vision advanced vision language with detailed reasoning." },
       { "id": "CohereLabs/c4ai-command-r7b-arabic-02-2025", "description": "Command tuned for Arabic fluent and culturally appropriate outputs." },
       { "id": "Sao10K/L3-8B-Lunaris-v1", "description": "Community Llama creative role play oriented themed persona." },
       { "id": "meta-llama/Llama-3.1-70B-Instruct", "description": "Instruction tuned Llama improved reasoning and factual reliability." },
       { "id": "zai-org/GLM-4-32B-0414", "description": "Open licensed GLM matches larger proprietary models on benchmarks." },
-      { "id": "deepseek-ai/DeepSeek-Prover-V2-671B", "description": "Specialist for mathematical proofs and formal reasoning workflows."},
       { "id": "Qwen/Qwen2.5-Coder-3B-Instruct", "description": "Tiny coding assistant basic code completions and explanations." }
     ]
 

chart/env/prod.yaml

@@ -100,7 +100,6 @@ envVars:
       { "id": "Qwen/Qwen3.6-27B", "description": "Dense 27B hybrid with DeltaNet attention and 1M context.", "supportsArtifacts": true, "parameters": { "max_tokens": 49152 } },
       { "id": "meta-llama/Llama-4-Scout-17B-16E-Instruct", "description": "Native multimodal 17B MoE with 16 experts and very long context."},
       { "id": "CohereLabs/c4ai-command-r7b-12-2024", "description": "Compact 7B Command R for multilingual RAG, tool use, and agents." },
-      { "id": "pearl-ai/Gemma-4-31B-it-pearl", "description": "Community Gemma-4-31B variant integrated with Pearl mining for chain-validated inference."},
       { "id": "inclusionAI/Ling-2.6-1T", "description": "1T MoE with 50B active params, hybrid MLA-Linear attention, and fast thinking.", "supportsArtifacts": true, "parameters": { "max_tokens": 32768 } },
       { "id": "deepseek-ai/DeepSeek-V4-Pro", "description": "Frontier 1.6T MoE with 49B active params, hybrid attention, and 1M context.", "parameters": { "max_tokens": 98304 }, "supportsReasoning": true, "supportsArtifacts": true },
       { "id": "deepseek-ai/DeepSeek-V4-Flash", "description": "Compact 284B MoE with 13B active params, hybrid attention, and 1M context.", "parameters": { "max_tokens": 49152 }, "supportsArtifacts": true },
@@ -129,11 +128,9 @@ envVars:
       { "id": "Qwen/Qwen3-Coder-Next", "description": "Ultra-sparse coding MoE for repository-scale agents with 256K context." },
       { "id": "moonshotai/Kimi-K2.5", "description": "Native multimodal agent with agent swarms for parallel tool orchestration." },
       { "id": "zai-org/GLM-4.7", "description": "Flagship GLM MoE for coding, reasoning, and agentic tool use." , "supportsReasoning": true },
-      { "id": "zai-org/GLM-4.7-FP8", "description": "FP8 GLM-4.7 for efficient inference with strong coding." , "supportsReasoning": true },
       { "id": "MiniMaxAI/MiniMax-M2.1", "description": "MoE agent model with multilingual coding and fast outputs."},
       { "id": "zai-org/AutoGLM-Phone-9B-Multilingual", "description": "Mobile agent for multilingual Android device automation." },
       { "id": "utter-project/EuroLLM-22B-Instruct-2512", "description": "European multilingual model for all EU languages and translation." },
-      { "id": "EssentialAI/rnj-1-instruct", "description": "8B code and STEM model rivaling larger models on agentic coding, math, and tool use." },
       { "id": "MiniMaxAI/MiniMax-M2", "description": "Compact MoE model tuned for fast coding, agentic workflows, and long-context chat." , "supportsReasoning": true },
       { "id": "Qwen/Qwen3-VL-30B-A3B-Instruct", "description": "Flagship Qwen3 vision-language model for high-accuracy image, text, and video reasoning." },
       { "id": "Qwen/Qwen3-VL-30B-A3B-Thinking", "description": "Thinking-mode Qwen3-VL that emits detailed multimodal reasoning traces for difficult problems."},
@@ -142,7 +139,6 @@ envVars:
       { "id": "allenai/Olmo-3-7B-Instruct", "description": "Lightweight Olmo assistant for instruction following, Q&A, and everyday open-source workflows." },
       { "id": "deepcogito/cogito-671b-v2.1", "description": "Frontier-scale 671B MoE focused on deep reasoning, math proofs, and complex coding."},
       { "id": "deepcogito/cogito-671b-v2.1-FP8", "description": "FP8 Cogito v2.1 making 671B-scale reasoning more affordable to serve and experiment with."},
-      { "id": "moonshotai/Kimi-K2-Thinking", "description": "Reasoning-focused Kimi K2 variant for deep chain-of-thought and large agentic tool flows." , "supportsReasoning": true },
       { "id": "openai/gpt-oss-safeguard-20b", "description": "Safety-focused gpt-oss variant for content classification, policy enforcement, and LLM output filtering." , "supportsReasoning": true },
       { "id": "zai-org/GLM-4.5", "description": "Flagship GLM agent model unifying advanced reasoning, coding, and tool-using capabilities."},
       { "id": "zai-org/GLM-4.5V-FP8", "description": "FP8 vision-language GLM-4.5V for efficient multilingual visual QA, understanding, and hybrid reasoning."},    
@@ -178,21 +174,15 @@ envVars:
       { "id": "zai-org/GLM-4.5-Air", "description": "Efficient GLM strong reasoning and tool use at lower cost."},
       { "id": "Qwen/Qwen2.5-7B-Instruct", "description": "Compact instruction model solid for basic conversation and tasks." },
       { "id": "Qwen/Qwen3-32B", "description": "General purpose Qwen strong for complex queries and dialogues." },
-      { "id": "Qwen/QwQ-32B", "description": "Preview Qwen showcasing next generation features and alignment."},
       { "id": "Qwen/Qwen3-235B-A22B-Instruct-2507", "description": "Flagship instruction Qwen near state of the art across domains." },
       { "id": "meta-llama/Llama-3.3-70B-Instruct", "description": "Improved Llama alignment and structure powerful complex conversations." },
-      { "id": "deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B", "description": "Tiny distilled Qwen stepwise math and logic reasoning."},
       { "id": "Qwen/Qwen3-235B-A22B", "description": "Qwen base at flagship scale ideal for custom fine tuning." },
       { "id": "Qwen/Qwen2.5-Coder-32B-Instruct", "description": "Code model strong generation and tool use bridges sizes." },
-      { "id": "katanemo/Arch-Router-1.5B", "description": "Lightweight router model directs queries to specialized backends." },
-      { "id": "meta-llama/Llama-3.2-1B-Instruct", "description": "Ultra small Llama handles basic Q and A and instructions." },
       { "id": "deepseek-ai/DeepSeek-R1-Distill-Qwen-7B", "description": "Distilled Qwen excels at stepwise logic in compact footprint."},
       { "id": "deepseek-ai/DeepSeek-V3", "description": "General language model direct answers strong creative and knowledge tasks." },
       { "id": "deepseek-ai/DeepSeek-V3-0324", "description": "Updated V3 better reasoning and coding strong tool use." },
       { "id": "CohereLabs/command-a-translate-08-2025", "description": "Translation focused Command model high quality multilingual translation." },
-      { "id": "deepseek-ai/DeepSeek-R1-Distill-Qwen-32B", "description": "Distilled from R1 strong reasoning standout dense model."},
       { "id": "baidu/ERNIE-4.5-VL-424B-A47B-Base-PT", "description": "Multimodal base text image pretraining for cross modal understanding." },
-      { "id": "Qwen/Qwen3-Coder-480B-A35B-Instruct-FP8", "description": "Quantized giant coder faster lighter retains advanced code generation." },
       { "id": "deepseek-ai/DeepSeek-R1-0528", "description": "R1 update improved reasoning, fewer hallucinations, adds function calling.", "parameters": { "max_tokens": 32000 }},
       { "id": "Qwen/Qwen3-14B", "description": "Balanced Qwen good performance and efficiency for assistants." },
       { "id": "MiniMaxAI/MiniMax-M1-80k", "description": "Long context MoE very fast excels at long range reasoning and code."},
@@ -203,23 +193,18 @@ envVars:
       { "id": "Qwen/Qwen2.5-72B-Instruct", "description": "Accurate detailed instruction model supports tools and long contexts." },
       { "id": "meta-llama/Llama-Guard-4-12B", "description": "Safety guardrail model filters and enforces content policies." },
       { "id": "CohereLabs/command-a-vision-07-2025", "description": "Command model with image input captioning and visual QA." },
-      { "id": "meta-llama/Meta-Llama-3-70B-Instruct", "description": "Instruction tuned Llama improved reasoning and reliability over predecessors." },
-      { "id": "NousResearch/Hermes-2-Pro-Llama-3-8B", "description": "Small Hermes highly steerable maximized helpfulness for basics." },
       { "id": "Sao10K/L3-8B-Stheno-v3.2", "description": "Community Llama variant themed tuning and unique conversational style." },
       { "id": "CohereLabs/c4ai-command-r-08-2024", "description": "Cohere Command variant instruction following with specialized tuning." },
-      { "id": "baidu/ERNIE-4.5-300B-A47B-Base-PT", "description": "Large base model foundation for specialized language systems." },
       { "id": "CohereLabs/aya-expanse-32b", "description": "Aya Expanse large comprehensive knowledge and reasoning capabilities." },
       { "id": "CohereLabs/c4ai-command-a-03-2025", "description": "Updated Command assistant improved accuracy and general usefulness." },
       { "id": "CohereLabs/command-a-reasoning-08-2025", "description": "Command variant optimized for complex multi step logical reasoning." },
       { "id": "alpindale/WizardLM-2-8x22B", "description": "Multi expert WizardLM MoE approach for efficient high quality generation." },
       { "id": "deepseek-ai/DeepSeek-R1-Distill-Llama-70B", "description": "Llama distilled from R1 improved reasoning enterprise friendly."},
-      { "id": "Sao10K/L3-70B-Euryale-v2.1", "description": "Creative community instruct model with distinctive persona." },
       { "id": "CohereLabs/aya-vision-32b", "description": "Larger Aya Vision advanced vision language with detailed reasoning." },
       { "id": "CohereLabs/c4ai-command-r7b-arabic-02-2025", "description": "Command tuned for Arabic fluent and culturally appropriate outputs." },
       { "id": "Sao10K/L3-8B-Lunaris-v1", "description": "Community Llama creative role play oriented themed persona." },
       { "id": "meta-llama/Llama-3.1-70B-Instruct", "description": "Instruction tuned Llama improved reasoning and factual reliability." },
       { "id": "zai-org/GLM-4-32B-0414", "description": "Open licensed GLM matches larger proprietary models on benchmarks." },
-      { "id": "deepseek-ai/DeepSeek-Prover-V2-671B", "description": "Specialist for mathematical proofs and formal reasoning workflows."},
       { "id": "Qwen/Qwen2.5-Coder-3B-Instruct", "description": "Tiny coding assistant basic code completions and explanations." }
     ]