narrow _exclude to technical incapacity only

narrow _exclude to technical incapacity only
This commit is contained in:
MacRimi
2026-09-02 11:34:39 +02:00
committed by GitHub
+15 -60
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@@ -1,7 +1,7 @@
{
"_description": "Verified AI models for ProxMenux notifications. Only models listed here will be shown to users. Models are tested to work with the chat/completions API format.",
"_updated": "2026-07-14",
"_verifier": "Refreshed by .github/workflows/verify-ai-models.yml (daily). The workflow runs .github/scripts/ai-models-verifier/verify.py against every provider whose API key is configured in repository Secrets, then applies the report via apply.py — which honours per-provider `_exclude` lists so editorial curation survives automated refreshes. Manually re-run from the Actions tab (any branch) when a new model needs to be picked up out of cycle.",
"_updated": "2026-09-02",
"_verifier": "Refreshed by .github/workflows/verify-ai-models.yml (daily). The workflow runs .github/scripts/ai-models-verifier/verify.py against every provider whose API key is configured in repository Secrets, then applies the report via apply.py — which honours per-provider `_exclude` lists. `_exclude` is intentionally minimal: it only drops models that are technically incapable of generating a chat completion for a normal prompt (safety classifiers, agentic-only endpoints, meta-routers, wrong modalities). Everything else the verifier passes is surfaced — including language-specialised models (Arabic, Chinese, ...), reasoning models, legacy families and dated snapshots — so a user with a specific need can still pick the model that fits. Manually re-run from the Actions tab (any branch) when a new model needs to be picked up out of cycle.",
"groq": {
"models": [
@@ -13,14 +13,11 @@
],
"recommended": "llama-3.3-70b-versatile",
"_exclude": [
"allam-2-7b",
"qwen/qwen3-32b",
"qwen/qwen3*",
"openai/gpt-oss-safeguard-*",
"groq/compound",
"groq/compound-*"
],
"_note": "Verified functionally 2026-07-14 with the Groq API. `_exclude` covers models that pass the technical test but are the wrong fit for notification translation: allam-2-7b (Arabic-focused), qwen/* (Chinese-first, unreliable Spanish), openai/gpt-oss-safeguard-* (safety-classifier variant), groq/compound* (agentic system, not a chat model)."
"_note": "`_exclude` covers models the verifier may technically pass but that do not produce a usable chat completion: openai/gpt-oss-safeguard-* is a safety classifier (returns a category, not free text); groq/compound* is an agentic system that expects multi-step tool use, not a plain prompt."
},
"gemini": {
@@ -34,16 +31,12 @@
],
"recommended": "gemini-2.5-flash-lite",
"_exclude": [
"gemini-*-pro*",
"gemini-*-thinking*",
"gemini-embedding-*",
"gemini-2.0-*",
"gemini-1.5-*",
"gemini-1.0-*",
"gemini-pro"
"gemini-*-pro*",
"gemini-*-thinking*"
],
"_deprecated": ["gemini-2.0-flash", "gemini-2.0-flash-lite", "gemini-1.5-flash", "gemini-1.0-pro", "gemini-pro"],
"_note": "Verified 2026-07-13. gemini-flash-lite-latest now passes consistently (1.6s) and is fastest, but gemini-2.5-flash-lite remains recommended because 'latest' aliases can drift over time. gemini-3.1-flash-lite is the stable successor to 3-flash-preview. Pro variants continue to reject thinkingBudget=0 and are overkill for notification translation."
"_note": "`_exclude` drops embeddings (wrong modality) and Pro / thinking variants that reject `thinkingConfig.thinkingBudget: 0` and therefore never return a visible completion within a reasonable token budget — technical failure with our current provider config."
},
"openai": {
@@ -58,11 +51,6 @@
],
"recommended": "gpt-4.1-nano",
"_exclude": [
"gpt-3.5-*",
"gpt-3-*",
"gpt-4",
"gpt-4-0613",
"gpt-4-turbo*",
"gpt-4o-audio*",
"gpt-4o-realtime*",
"gpt-4o-search*",
@@ -72,22 +60,9 @@
"gpt-4o-mini-search*",
"gpt-4o-mini-transcribe*",
"gpt-4o-mini-tts",
"gpt-4.1-nano-2*",
"gpt-4.1-mini-2*",
"gpt-4.1-2*",
"gpt-4o-2*",
"gpt-4o-mini-2*",
"gpt-5-nano-2*",
"gpt-5-mini-2*",
"gpt-5-chat-2*",
"gpt-5-2*",
"o1-*-2*",
"o3-*-2*",
"o4-*-2*",
"codex-*",
"computer-use-*"
],
"_note": "Verified 2026-07-13. `_exclude` drops (a) dated snapshots (`gpt-4o-2024-11-20`, `gpt-4.1-nano-2025-04-14`, ...) — the stable aliases are preferred so the recommended model doesn't silently pin to a specific point-in-time build; (b) legacy families (gpt-3.5, gpt-4, gpt-4-turbo) that gpt-4.1 supersedes; (c) audio/realtime/search/transcribe/tts variants (wrong modality for notifications); (d) reasoning models (o-series, gpt-5.1/5.2 non-chat), which openai_provider.py supports via max_completion_tokens + reasoning_effort=minimal but do not improve translation quality and are slower. Add specific reasoning IDs to `models` manually if a user explicitly wants them."
"_note": "`_exclude` covers wrong-modality variants (audio, realtime, search, transcribe, tts) that cannot handle a plain notification-translation prompt, plus computer-use which requires an agent loop. All other OpenAI chat/completion models are surfaced — including legacy families (gpt-3.5, gpt-4), reasoning models (o-series, gpt-5.x non-chat) and dated snapshots — so users can pick by their own criteria (cost, quality, reproducibility). openai_provider.py already handles reasoning models via max_completion_tokens + reasoning_effort=minimal."
},
"anthropic": {
@@ -100,13 +75,8 @@
"claude-fable-5"
],
"recommended": "claude-haiku-4-5",
"_exclude": [
"claude-*-2*",
"claude-3-*",
"claude-3-5-*",
"claude-3-opus-*"
],
"_note": "Verified 2026-07-13 with all 10 discovered models passing after aligning the verifier with anthropic_provider.py (temperature omitted — newest generations reject it with 'temperature is deprecated for this model'). `_exclude` drops dated snapshots (`claude-haiku-4-5-20251001`) and legacy generations (claude-3-*) that are deprecated upstream. haiku-4-5 is the sweet spot for notification translation (3.6s, $1/$5 per MTok); sonnet-5 for slightly richer output (3.1s, $3/$15); opus-4-8 / fable-5 for demanding cases."
"_exclude": [],
"_note": "No technical exclusions — every Claude generation returns free-text completions for a plain prompt. The verifier tests each model listed under `models`; if a specific ID stops working upstream it simply drops out of the passing set. Anthropic does not expose a public models-list API, so new models must be added to `models` manually before the verifier can test them."
},
"openrouter": {
@@ -131,32 +101,17 @@
],
"recommended": "meta-llama/llama-3.3-70b-instruct",
"_exclude": [
"*/wizardlm-*",
"*/qwen*",
"*/yi-*",
"*/ernie-*",
"*/glm-*",
"*/deepseek*",
"*/hermes-*-405b*",
"*/dolphin*",
"*/euryale*",
"*/mythomax*",
"*/toppy*",
"*/rocinante*",
"*/nsfw*",
"*/*-uncensored*",
"*/*-vision*",
"*/*-image*",
"openrouter/*",
"*/*-audio*",
"*/*-audio-*",
"*/*-tts*",
"*/*-whisper*",
"*/*-embed*",
"openai/o1-*",
"openai/o3-*",
"openai/o4-*",
"anthropic/claude-3-*"
"*/*-embedding*",
"*/*-image*",
"*/*-vision-only*"
],
"_note": "OpenRouter aggregates hundreds of models — `_exclude` is aggressive by design so the surfaced list stays curated. Blocked families: Chinese-first (Qwen, Yi, ERNIE, GLM, DeepSeek), role-play / uncensored, wrong-modality (vision/image/audio/tts/whisper/embed), reasoning models (o-series) and legacy Claude 3. Kept: the mainline chat/instruct models that were manually validated. Paid tier verified functionally 2026-07-14; free tier verified 2026-08-17. Free-tier rate limits (~20 req/min shared across all OpenRouter free users on that model) may cause 429 in high-traffic windows — usable for occasional notification translation, not for high-volume automation."
"_note": "OpenRouter aggregates hundreds of models; the free-tier variants (:free suffix) are intentionally supported per user request and never blocked. `_exclude` covers only meta-routers (`openrouter/free`, `openrouter/auto` — they route dynamically to something else, so their behaviour is not the model the user picked) and wrong-modality models (audio, tts, whisper, embeddings, image, vision-only). Everything else — chat models across every family, language and price tier — is surfaced so the user can pick the fit."
},
"ollama": {