[siliconflow/Pro] Apply reasoning audit fixes

fix: remove GLM-5.2 from standard Z.AI APIs

models/google/gemini-2.5-flash.toml

@@ -1,7 +1,7 @@
 name = "Gemini 2.5 Flash"
 family = "gemini-flash"
-release_date = "2025-03-20"
-last_updated = "2025-06-05"
+release_date = "2025-06-17"
+last_updated = "2025-06-17"
 attachment = true
 reasoning = true
 temperature = true

models/google/gemini-2.5-pro.toml

@@ -1,7 +1,7 @@
 name = "Gemini 2.5 Pro"
 family = "gemini-pro"
-release_date = "2025-03-20"
-last_updated = "2025-06-05"
+release_date = "2025-06-17"
+last_updated = "2025-06-17"
 attachment = true
 reasoning = true
 temperature = true

models/mistral/mistral-large-2411.toml

@@ -1,7 +1,7 @@
 name = "Mistral Large 2.1"
 family = "mistral-large"
-release_date = "2024-11-01"
-last_updated = "2024-11-04"
+release_date = "2024-11-18"
+last_updated = "2024-11-18"
 attachment = false
 reasoning = false
 temperature = true

models/moonshotai/kimi-k2.5.toml

@@ -1,5 +1,5 @@
 name = "Kimi K2.5"
-family = "kimi-k2.5"
+family = "kimi-k2"
 release_date = "2026-01"
 last_updated = "2026-01"
 attachment = false

models/moonshotai/kimi-k2.6.toml

@@ -1,5 +1,5 @@
 name = "Kimi K2.6"
-family = "kimi-k2.6"
+family = "kimi-k2"
 release_date = "2026-04-21"
 last_updated = "2026-04-21"
 attachment = true

models/moonshotai/kimi-k2.7-code.toml

@@ -0,0 +1,23 @@
+name = "Kimi K2.7 Code"
+family = "kimi-k2"
+release_date = "2026-06-12"
+last_updated = "2026-06-12"
+attachment = true
+reasoning = true
+temperature = false
+tool_call = true
+structured_output = true
+knowledge = "2025-01"
+open_weights = true
+
+[limit]
+context = 262_144
+output = 262_144
+
+[modalities]
+input = ["text", "image", "video"]
+output = ["text"]
+
+[[weights]]
+label = "Hugging Face"
+url = "https://huggingface.co/moonshotai/Kimi-K2.7-Code"

models/venice/aion-labs-aion-2-0.toml

@@ -1,17 +0,0 @@
-name = "Aion 2.0"
-family = "o"
-release_date = "2026-03-24"
-last_updated = "2026-06-10"
-attachment = false
-reasoning = true
-tool_call = false
-temperature = true
-open_weights = false
-
-[limit]
-context = 128000
-output = 32768
-
-[modalities]
-input = ["text"]
-output = ["text"]

models/venice/arcee-trinity-large-thinking.toml

@@ -1,21 +0,0 @@
-name = "Trinity Large Thinking"
-family = "trinity"
-release_date = "2026-04-02"
-last_updated = "2026-06-10"
-attachment = false
-reasoning = true
-tool_call = true
-structured_output = true
-temperature = true
-open_weights = true
-
-[limit]
-context = 256000
-output = 65536
-
-[modalities]
-input = ["text"]
-output = ["text"]
-
-[[weights]]
-url = "https://huggingface.co/arcee-ai/Trinity-Large-Thinking-FP8-Block"

models/venice/e2ee-gemma-3-27b-p.toml

@@ -1,20 +0,0 @@
-name = "Gemma 3 27B"
-family = "gemma"
-release_date = "2026-03-18"
-last_updated = "2026-06-10"
-attachment = false
-reasoning = false
-tool_call = false
-temperature = true
-open_weights = true
-
-[limit]
-context = 40000
-output = 4096
-
-[modalities]
-input = ["text"]
-output = ["text"]
-
-[[weights]]
-url = "https://huggingface.co/google/gemma-3-27b-it"

models/venice/e2ee-gemma-4-31b.toml

@@ -1,20 +0,0 @@
-name = "Gemma 4 31B Instruct"
-family = "gemma"
-release_date = "2026-05-20"
-last_updated = "2026-06-10"
-attachment = false
-reasoning = true
-tool_call = false
-temperature = true
-open_weights = true
-
-[limit]
-context = 32000
-output = 4096
-
-[modalities]
-input = ["text"]
-output = ["text"]
-
-[[weights]]
-url = "https://huggingface.co/google/gemma-4-31B-it"

models/venice/e2ee-gpt-oss-120b-p.toml

@@ -1,20 +0,0 @@
-name = "GPT OSS 120B"
-family = "gpt-oss"
-release_date = "2026-03-18"
-last_updated = "2026-06-10"
-attachment = false
-reasoning = true
-tool_call = false
-temperature = true
-open_weights = true
-
-[limit]
-context = 128000
-output = 32768
-
-[modalities]
-input = ["text"]
-output = ["text"]
-
-[[weights]]
-url = "https://huggingface.co/openai/gpt-oss-120b"

models/venice/e2ee-gpt-oss-20b-p.toml

@@ -1,20 +0,0 @@
-name = "GPT OSS 20B"
-family = "gpt-oss"
-release_date = "2026-03-18"
-last_updated = "2026-06-10"
-attachment = false
-reasoning = true
-tool_call = false
-temperature = true
-open_weights = true
-
-[limit]
-context = 128000
-output = 32768
-
-[modalities]
-input = ["text"]
-output = ["text"]
-
-[[weights]]
-url = "https://huggingface.co/openai/gpt-oss-20b"

models/venice/e2ee-qwen-2-5-7b-p.toml

@@ -1,20 +0,0 @@
-name = "Qwen 2.5 7B"
-family = "qwen"
-release_date = "2026-03-18"
-last_updated = "2026-06-10"
-attachment = false
-reasoning = false
-tool_call = false
-temperature = true
-open_weights = true
-
-[limit]
-context = 32000
-output = 4096
-
-[modalities]
-input = ["text"]
-output = ["text"]
-
-[[weights]]
-url = "https://huggingface.co/Qwen/Qwen2.5-7B-Instruct"

models/venice/e2ee-qwen3-30b-a3b-p.toml

@@ -1,20 +0,0 @@
-name = "Qwen3 30B A3B"
-family = "qwen"
-release_date = "2026-03-18"
-last_updated = "2026-06-10"
-attachment = false
-reasoning = false
-tool_call = true
-temperature = true
-open_weights = true
-
-[limit]
-context = 256000
-output = 32768
-
-[modalities]
-input = ["text"]
-output = ["text"]
-
-[[weights]]
-url = "https://huggingface.co/Qwen/Qwen3-30B-A3B-Instruct-2507"

models/venice/e2ee-qwen3-6-35b-a3b-uncensored-p.toml

@@ -1,17 +0,0 @@
-name = "Qwen3.6 35B A3B Uncensored"
-family = "qwen3.6"
-release_date = "2026-05-24"
-last_updated = "2026-06-10"
-attachment = false
-reasoning = false
-temperature = true
-tool_call = false
-open_weights = false
-
-[limit]
-context = 128_000
-output = 4_096
-
-[modalities]
-input = ["text"]
-output = ["text"]

models/venice/e2ee-qwen3-6-35b-a3b.toml

@@ -1,20 +0,0 @@
-name = "Qwen 3.6 35B A3B FP8"
-family = "qwen"
-release_date = "2026-05-20"
-last_updated = "2026-06-10"
-attachment = false
-reasoning = true
-temperature = true
-tool_call = true
-open_weights = true
-
-[limit]
-context = 32_000
-output = 4_096
-
-[modalities]
-input = ["text"]
-output = ["text"]
-
-[[weights]]
-url = "https://huggingface.co/Qwen/Qwen3.6-35B-A3B-FP8"

models/venice/e2ee-qwen3-vl-30b-a3b-p.toml

@@ -1,20 +0,0 @@
-name = "Qwen3 VL 30B A3B"
-family = "qwen"
-release_date = "2026-03-18"
-last_updated = "2026-06-10"
-attachment = true
-reasoning = false
-tool_call = true
-temperature = true
-open_weights = true
-
-[limit]
-context = 128000
-output = 4096
-
-[modalities]
-input = ["text", "image"]
-output = ["text"]
-
-[[weights]]
-url = "https://huggingface.co/Qwen/Qwen3-VL-30B-A3B-Instruct"

models/venice/e2ee-venice-uncensored-24b-p.toml

@@ -1,20 +0,0 @@
-name = "Venice Uncensored 1.1"
-family = "venice"
-release_date = "2026-03-18"
-last_updated = "2026-06-10"
-attachment = false
-reasoning = false
-tool_call = false
-temperature = true
-open_weights = true
-
-[limit]
-context = 32000
-output = 4096
-
-[modalities]
-input = ["text"]
-output = ["text"]
-
-[[weights]]
-url = "https://huggingface.co/cognitivecomputations/Dolphin-Mistral-24B-Venice-Edition"

models/venice/gemma-4-uncensored.toml

@@ -1,21 +0,0 @@
-name = "Gemma 4 Uncensored"
-family = "gemma"
-release_date = "2026-04-13"
-last_updated = "2026-06-10"
-attachment = true
-reasoning = false
-temperature = true
-tool_call = true
-structured_output = true
-open_weights = true
-
-[limit]
-context = 256_000
-output = 8_192
-
-[modalities]
-input = ["text", "image"]
-output = ["text"]
-
-[[weights]]
-url = "https://huggingface.co/Jiunsong/supergemma4-26b-uncensored-gguf-v2"

models/venice/google-gemma-3-27b-it.toml

@@ -1,22 +0,0 @@
-name = "Google Gemma 3 27B Instruct"
-family = "gemma"
-release_date = "2025-11-04"
-last_updated = "2026-06-10"
-attachment = true
-reasoning = false
-temperature = true
-tool_call = true
-structured_output = true
-knowledge = "2025-07"
-open_weights = true
-
-[limit]
-context = 198_000
-output = 16_384
-
-[modalities]
-input = ["text", "image"]
-output = ["text"]
-
-[[weights]]
-url = "https://huggingface.co/google/gemma-3-27b-it"

models/venice/grok-4-20-multi-agent.toml

@@ -1,18 +0,0 @@
-name = "Grok 4.20 Multi-Agent"
-family = "grok"
-release_date = "2026-03-12"
-last_updated = "2026-06-10"
-attachment = true
-reasoning = true
-temperature = true
-tool_call = false
-structured_output = true
-open_weights = false
-
-[limit]
-context = 2_000_000
-output = 128_000
-
-[modalities]
-input = ["text", "image"]
-output = ["text"]

models/venice/grok-4-20.toml

@@ -1,18 +0,0 @@
-name = "Grok 4.20"
-family = "grok"
-release_date = "2026-03-12"
-last_updated = "2026-06-10"
-attachment = true
-reasoning = true
-tool_call = true
-structured_output = true
-temperature = true
-open_weights = false
-
-[limit]
-context = 2000000
-output = 128000
-
-[modalities]
-input = ["text", "image"]
-output = ["text"]

models/venice/hermes-3-llama-3.1-405b.toml

@@ -1,21 +0,0 @@
-name = "Hermes 3 Llama 3.1 405b"
-family = "hermes"
-release_date = "2025-09-25"
-last_updated = "2026-06-10"
-attachment = false
-reasoning = false
-temperature = true
-tool_call = false
-knowledge = "2024-04"
-open_weights = true
-
-[limit]
-context = 128_000
-output = 16_384
-
-[modalities]
-input = ["text"]
-output = ["text"]
-
-[[weights]]
-url = "https://huggingface.co/NousResearch/Hermes-3-Llama-3.1-405B"

models/venice/llama-3.2-3b.toml

@@ -1,21 +0,0 @@
-name = "Llama 3.2 3B"
-family = "llama"
-release_date = "2024-10-03"
-last_updated = "2026-06-10"
-attachment = false
-reasoning = false
-temperature = true
-tool_call = true
-knowledge = "2023-12"
-open_weights = true
-
-[limit]
-context = 128_000
-output = 4_096
-
-[modalities]
-input = ["text"]
-output = ["text"]
-
-[[weights]]
-url = "https://huggingface.co/meta-llama/Llama-3.2-3B"

models/venice/llama-3.3-70b.toml

@@ -1,21 +0,0 @@
-name = "Llama 3.3 70B"
-family = "llama"
-release_date = "2025-04-06"
-last_updated = "2026-06-10"
-attachment = false
-reasoning = false
-temperature = true
-tool_call = true
-knowledge = "2023-12"
-open_weights = true
-
-[limit]
-context = 128_000
-output = 4_096
-
-[modalities]
-input = ["text"]
-output = ["text"]
-
-[[weights]]
-url = "https://huggingface.co/meta-llama/Llama-3.3-70B-Instruct"

models/venice/mistral-small-3-2-24b-instruct.toml

@@ -1,21 +0,0 @@
-name = "Mistral Small 3.2 24B Instruct"
-family = "mistral-small"
-release_date = "2026-01-15"
-last_updated = "2026-06-10"
-attachment = false
-reasoning = false
-temperature = true
-tool_call = true
-structured_output = true
-open_weights = true
-
-[limit]
-context = 256_000
-output = 16_384
-
-[modalities]
-input = ["text"]
-output = ["text"]
-
-[[weights]]
-url = "https://huggingface.co/mistralai/Mistral-Small-3.2-24B-Instruct-2506"

models/venice/olafangensan-glm-4.7-flash-heretic.toml

@@ -1,21 +0,0 @@
-name = "GLM 4.7 Flash Heretic"
-family = "glm"
-release_date = "2026-02-04"
-last_updated = "2026-06-10"
-attachment = false
-reasoning = true
-temperature = true
-tool_call = true
-structured_output = true
-open_weights = true
-
-[limit]
-context = 200_000
-output = 24_000
-
-[modalities]
-input = ["text"]
-output = ["text"]
-
-[[weights]]
-url = "https://huggingface.co/Olafangensan/GLM-4.7-Flash-heretic"

models/venice/openai-gpt-oss-120b.toml

@@ -1,21 +0,0 @@
-name = "OpenAI GPT OSS 120B"
-family = "gpt-oss"
-release_date = "2025-11-06"
-last_updated = "2026-06-10"
-attachment = false
-reasoning = true
-tool_call = true
-temperature = true
-knowledge = "2025-07"
-open_weights = true
-
-[limit]
-context = 128000
-output = 16384
-
-[modalities]
-input = ["text"]
-output = ["text"]
-
-[[weights]]
-url = "https://huggingface.co/openai/gpt-oss-120b"

models/venice/qwen3-235b-a22b-instruct-2507.toml

@@ -1,22 +0,0 @@
-name = "Qwen 3 235B A22B Instruct 2507"
-family = "qwen"
-release_date = "2025-04-29"
-last_updated = "2026-06-10"
-attachment = false
-reasoning = false
-temperature = true
-tool_call = true
-structured_output = true
-knowledge = "2025-07"
-open_weights = true
-
-[limit]
-context = 128_000
-output = 16_384
-
-[modalities]
-input = ["text"]
-output = ["text"]
-
-[[weights]]
-url = "https://huggingface.co/Qwen/Qwen3-235B-A22B-Instruct-2507-FP8"

models/venice/qwen3-235b-a22b-thinking-2507.toml

@@ -1,22 +0,0 @@
-name = "Qwen 3 235B A22B Thinking 2507"
-family = "qwen"
-release_date = "2025-04-29"
-last_updated = "2026-06-10"
-attachment = false
-reasoning = true
-temperature = true
-tool_call = true
-structured_output = true
-knowledge = "2025-07"
-open_weights = true
-
-[limit]
-context = 128_000
-output = 16_384
-
-[modalities]
-input = ["text"]
-output = ["text"]
-
-[[weights]]
-url = "https://huggingface.co/Qwen/Qwen3-235B-A22B-Thinking-2507-FP8"

models/venice/qwen3-coder-480b-a35b-instruct-turbo.toml

@@ -1,21 +0,0 @@
-name = "Qwen 3 Coder 480B Turbo"
-family = "qwen"
-release_date = "2026-01-27"
-last_updated = "2026-06-10"
-attachment = false
-reasoning = false
-temperature = true
-tool_call = true
-structured_output = true
-open_weights = true
-
-[limit]
-context = 256_000
-output = 65_536
-
-[modalities]
-input = ["text"]
-output = ["text"]
-
-[[weights]]
-url = "https://huggingface.co/Qwen/Qwen3-Coder-480B-A35B-Instruct-Turbo"

models/venice/qwen3-next-80b.toml

@@ -1,22 +0,0 @@
-name = "Qwen 3 Next 80b"
-family = "qwen"
-release_date = "2025-04-29"
-last_updated = "2026-06-10"
-attachment = false
-reasoning = false
-temperature = true
-tool_call = true
-structured_output = true
-knowledge = "2025-07"
-open_weights = true
-
-[limit]
-context = 256_000
-output = 16_384
-
-[modalities]
-input = ["text"]
-output = ["text"]
-
-[[weights]]
-url = "https://huggingface.co/Qwen/Qwen3-Next-80B-A3B-Instruct"

models/venice/qwen3-vl-235b-a22b.toml

@@ -1,21 +0,0 @@
-name = "Qwen3 VL 235B"
-family = "qwen3.5"
-release_date = "2026-01-16"
-last_updated = "2026-06-10"
-attachment = true
-reasoning = false
-temperature = true
-tool_call = true
-structured_output = true
-open_weights = true
-
-[limit]
-context = 256_000
-output = 16_384
-
-[modalities]
-input = ["text", "image"]
-output = ["text"]
-
-[[weights]]
-url = "https://huggingface.co/Qwen/Qwen3-VL-235B-A22B-Instruct"

models/venice/venice-uncensored-1-2.toml

@@ -1,21 +0,0 @@
-name = "Venice Uncensored 1.2"
-family = "venice"
-release_date = "2026-04-01"
-last_updated = "2026-06-10"
-attachment = true
-reasoning = false
-temperature = true
-tool_call = true
-structured_output = true
-open_weights = true
-
-[limit]
-context = 128_000
-output = 8_192
-
-[modalities]
-input = ["text", "image"]
-output = ["text"]
-
-[[weights]]
-url = "https://huggingface.co/cognitivecomputations/Dolphin-Mistral-24B-Venice-Edition"

models/venice/venice-uncensored-role-play.toml

@@ -1,21 +0,0 @@
-name = "Venice Role Play Uncensored"
-family = "venice"
-release_date = "2026-02-20"
-last_updated = "2026-06-10"
-attachment = true
-reasoning = false
-temperature = true
-tool_call = true
-structured_output = true
-open_weights = true
-
-[limit]
-context = 128_000
-output = 4_096
-
-[modalities]
-input = ["text", "image"]
-output = ["text"]
-
-[[weights]]
-url = "https://huggingface.co/dphnAI/24B-3.2-RP-K2-final"

models/zhipuai/glm-5.2.toml

@@ -1,17 +1,17 @@
-name = "Mercury 2"
-family = "mercury"
-release_date = "2026-02-20"
-last_updated = "2026-06-10"
+name = "GLM-5.2"
+family = "glm"
+release_date = "2026-06-13"
+last_updated = "2026-06-13"
 attachment = false
 reasoning = true
+temperature = true
 tool_call = true
 structured_output = true
-temperature = true
 open_weights = false
 
 [limit]
-context = 128000
-output = 50000
+context = 1_000_000
+output = 131_072
 
 [modalities]
 input = ["text"]

packages/core/script/generate-chutes.ts

@@ -13,7 +13,7 @@ import { z } from "zod";
 import path from "node:path";
 import { existsSync, readFileSync } from "node:fs";
 import { mkdir } from "node:fs/promises";
-import { ModelFamilyValues } from "../src/family.js";
+import { inferKimiFamily, ModelFamilyValues } from "../src/family.js";
 
 const API_ENDPOINT = "https://llm.chutes.ai/v1/models";
 const MODEL_METADATA_DIR = path.join(import.meta.dirname, "..", "..", "..", "models");
@@ -261,6 +261,9 @@ function matchesFamily(target: string, family: string): boolean {
 }
 
 function inferFamily(modelId: string, modelName: string): string | undefined {
+  const kimiFamily = inferKimiFamily(modelId, modelName);
+  if (kimiFamily !== undefined) return kimiFamily;
+
   const sortedFamilies = [...ModelFamilyValues].sort((a, b) => b.length - a.length);
 
   // First pass: try exact substring matches

packages/core/script/generate-digitalocean.ts

@@ -26,7 +26,7 @@
 import { z } from "zod";
 import path from "node:path";
 import { mkdir } from "node:fs/promises";
-import { ModelFamilyValues } from "../src/family.js";
+import { inferKimiFamily, ModelFamilyValues } from "../src/family.js";
 
 const MODELS_API = "https://api.digitalocean.com/v2/gen-ai/models";
 const PRICING_API = "https://www.digitalocean.com/api/static-content/v1/products";
@@ -142,7 +142,7 @@ const PRICING_NAME_MAP: Record<string, string> = {
   // DO-hosted
   "qwen3-32b": "alibaba-qwen3-32b",
   "minimax m2.5 (public preview)": "minimax-m2.5",
-  "kimi k2.5": "kimi-k2.5",
+  "kimi k2.5": "kimi-k2",
   "nvidia nemotron 3 super 120b (public preview)": "nvidia-nemotron-3-super-120b",
   "glm 5": "glm-5",
 };
@@ -311,6 +311,9 @@ function formatNumber(n: number): string {
 }
 
 function inferFamily(modelId: string, modelName: string): string | undefined {
+  const kimiFamily = inferKimiFamily(modelId, modelName);
+  if (kimiFamily !== undefined) return kimiFamily;
+
   const sorted = [...ModelFamilyValues].sort((a, b) => b.length - a.length);
   const targets = [modelId.toLowerCase(), modelName.toLowerCase()];
   for (const family of sorted) {

packages/core/script/generate-friendli.ts

@@ -4,6 +4,8 @@ import { mkdir } from "node:fs/promises";
 import path from "node:path";
 import { z } from "zod";
 
+import { inferKimiFamily } from "../src/family.js";
+
 // Friendli API endpoint
 const API_ENDPOINT = "https://api.friendli.ai/serverless/v1/models";
 
@@ -53,6 +55,9 @@ const familyPatterns: [RegExp, string][] = [
 ];
 
 function inferFamily(modelId: string, modelName: string): string | undefined {
+  const kimiFamily = inferKimiFamily(modelId, modelName);
+  if (kimiFamily !== undefined) return kimiFamily;
+
   for (const [pattern, family] of familyPatterns) {
     if (pattern.test(modelId) || pattern.test(modelName)) {
       return family;

packages/core/script/generate-wandb.ts

@@ -3,7 +3,7 @@
 import path from "node:path";
 import { mkdir } from "node:fs/promises";
 import { z } from "zod";
-import { ModelFamilyValues } from "../src/family.js";
+import { inferKimiFamily, ModelFamilyValues } from "../src/family.js";
 
 const API_ENDPOINT = "https://trace.wandb.ai/inference/analysis/artificialanalysis/models";
 
@@ -176,6 +176,9 @@ function matchesFamily(target: string, family: string): boolean {
 }
 
 function inferFamily(modelId: string, modelName: string): string | undefined {
+  const kimiFamily = inferKimiFamily(modelId, modelName);
+  if (kimiFamily !== undefined) return kimiFamily;
+
   const sortedFamilies = [...ModelFamilyValues].sort((a, b) => b.length - a.length);
 
   for (const family of sortedFamilies) {

packages/core/src/family.ts

@@ -66,8 +66,7 @@ export const ModelFamilyValues = [
 
   // Moonshot Kimi
   "kimi",
-  "kimi-k2.5",
-  "kimi-k2.6",
+  "kimi-k2",
   "kimi-free",
   "kimi-thinking",
 
@@ -423,3 +422,10 @@ export const ModelFamilyValues = [
 
 export const ModelFamily = z.enum(ModelFamilyValues);
 export type ModelFamily = z.infer<typeof ModelFamily>;
+
+export function inferKimiFamily(...values: string[]): ModelFamily | undefined {
+  const target = values.join(" ").toLowerCase();
+  if (/kimi[^a-z0-9]*k2(?:[^a-z0-9]*\d+)?[^a-z0-9]*thinking/.test(target)) return "kimi-thinking";
+  if (/kimi[\s_-]*k2/.test(target)) return "kimi-k2";
+  return undefined;
+}

packages/core/src/sync/index.ts

@@ -51,6 +51,7 @@ export interface SyncProvider<SourceModel> {
   skipCreates?: boolean;
   deleteMissing?: boolean;
   preserveSymlinks?: boolean;
+  preserveBaseModels?: boolean;
   sameModel?(current: ExistingModel, desired: SyncedModel): boolean;
   missingNotice?(paths: string[]): string[];
   sourceID?(model: SourceModel): string;
@@ -118,7 +119,9 @@ export async function syncProvider<SourceModel>(
 ): Promise<SyncResult> {
   console.log(`\nSyncing ${provider.name}...`);
 
-  const { models: existing, brokenSymlinks } = await readExisting(provider.modelsDir);
+  const existingState = await readExisting(provider.modelsDir);
+  const { models: existing, brokenSymlinks } = existingState;
+  let { modelMetadata } = existingState;
   const sourceModels = provider.parseModels(await provider.fetchModels());
   const desired = new Map<string, { model: z.infer<typeof SyncedAuthoredModel>; content: string }>();
   const desiredMetadata = new Map<string, { model: z.infer<typeof ModelMetadata>; content: string }>();
@@ -162,11 +165,28 @@ export async function syncProvider<SourceModel>(
       });
     }
 
+    const translatedModel = provider.preserveBaseModels === false
+      ? translated.model
+      : preserveBaseModel(translated.model, existing.get(relativePath)?.authored);
+    const translatedBase = "base_model" in translatedModel ? translatedModel.base_model : undefined;
+    let resolvedReasoning: boolean | undefined;
+    if (translatedBase !== undefined) {
+      if (translated.metadata?.id === translatedBase) {
+        resolvedReasoning = translated.metadata.model.reasoning;
+      } else {
+        modelMetadata ??= await readModelMetadata(provider.modelsDir);
+        const canonicalReasoning = modelMetadata[translatedBase]?.reasoning;
+        resolvedReasoning = typeof canonicalReasoning === "boolean" ? canonicalReasoning : undefined;
+      }
+    } else {
+      resolvedReasoning = existing.get(relativePath)?.toml.reasoning;
+    }
     const parsed = SyncedAuthoredModel.safeParse(stripUndefined({
       id: translated.id,
       ...preserveReasoningOptions(
-        preserveBaseModel(translated.model, existing.get(relativePath)?.authored),
+        translatedModel,
         existing.get(relativePath)?.authored,
+        resolvedReasoning,
       ),
     }));
     if (!parsed.success) {
@@ -316,7 +336,12 @@ export function preserveBaseModel(model: SyncedModel, existing: ExistingModel |
 export function preserveReasoningOptions(
   model: SyncedModel,
   existing: ExistingModel | undefined,
+  resolvedReasoning: boolean | undefined = existing?.reasoning,
 ): SyncedModel {
+  if ((model.reasoning ?? resolvedReasoning) === false) {
+    const { reasoning_options: _reasoningOptions, ...withoutReasoningOptions } = model;
+    return withoutReasoningOptions as SyncedModel;
+  }
   if (model.reasoning_options !== undefined || existing?.reasoning_options === undefined) return model;
   return {
     ...model,
@@ -389,7 +414,7 @@ async function readExisting(modelsDir: string) {
     existing.set(file, { authored, toml, symlink });
   }
 
-  return { models: existing, brokenSymlinks };
+  return { models: existing, brokenSymlinks, modelMetadata };
 }
 
 async function isSymlink(filePath: string) {

packages/core/src/sync/providers/openrouter.ts

@@ -2,7 +2,7 @@ import { z } from "zod";
 import { readFileSync, readdirSync } from "node:fs";
 import path from "node:path";
 
-import { ModelFamilyValues } from "../../family.js";
+import { inferKimiFamily, ModelFamilyValues } from "../../family.js";
 import type { ExistingModel, SyncProvider, SyncedFullModel, SyncedModel } from "../index.js";
 
 const API_ENDPOINT = "https://openrouter.ai/api/v1/models";
@@ -113,6 +113,9 @@ function modalities(values: string[], fallback: Modality[]): Modality[] {
 }
 
 function inferFamily(model: OpenRouterModel, name: string) {
+  const kimiFamily = inferKimiFamily(model.id, name);
+  if (kimiFamily !== undefined) return kimiFamily;
+
   const target = `${model.id} ${name}`.toLowerCase();
   return [...ModelFamilyValues]
     .sort((a, b) => b.length - a.length)

packages/core/src/sync/providers/ovhcloud.ts

@@ -121,6 +121,7 @@ export function buildOvhcloudModel(
     last_updated: lastUpdated,
     attachment,
     reasoning,
+    reasoning_options: reasoning ? existing?.reasoning_options : undefined,
     temperature: temperature || undefined,
     tool_call: toolCall,
     structured_output: structuredOutput || undefined,

packages/core/src/sync/providers/venice.ts

@@ -2,8 +2,8 @@ import { readdirSync } from "node:fs";
 import path from "node:path";
 import { z } from "zod";
 
-import { ModelFamilyValues } from "../../family.js";
-import type { ExistingModel, SyncProvider, SyncedFullModel, SyncedMetadata, SyncedModel } from "../index.js";
+import { inferKimiFamily, ModelFamilyValues } from "../../family.js";
+import type { ExistingModel, SyncProvider, SyncedFullModel, SyncedModel } from "../index.js";
 import { factorBaseModel } from "./openrouter.js";
 
 const API_ENDPOINT = "https://api.venice.ai/api/v1/models?type=text";
@@ -11,6 +11,7 @@ const MODELS_DIR = path.join(import.meta.dirname, "..", "..", "..", "..", "..",
 
 const Capabilities = z.object({
   supportsAudioInput: z.boolean().optional(),
+  supportsE2EE: z.boolean().optional(),
   supportsFunctionCalling: z.boolean().optional(),
   supportsReasoning: z.boolean().optional(),
   supportsReasoningEffort: z.boolean().optional(),
@@ -82,7 +83,7 @@ export const venice = {
   id: "venice",
   name: "Venice",
   modelsDir: "providers/venice/models",
-  metadataNamespace: "venice",
+  preserveBaseModels: false,
   async fetchModels() {
     const headers = process.env.VENICE_API_KEY
       ? { Authorization: `Bearer ${process.env.VENICE_API_KEY}` }
@@ -97,20 +98,14 @@ export const venice = {
     return VeniceResponse.parse(raw).data;
   },
   translateModel(model, context) {
+    if (model.model_spec.capabilities.supportsE2EE === true) return undefined;
     const id = model.id.replaceAll("/", "-");
     const existing = context.existing(id);
-    const resolvedBase = existing?.base_model ?? resolveVeniceBaseModel(model.id, model.model_spec.name);
-    const baseModel = resolvedBase ?? `venice/${id}`;
-    const full = buildVeniceModel(model, existing, null);
-    const metadata = baseModel.startsWith("venice/")
-      ? { id: baseModel, model: buildVeniceMetadata(full, model.model_spec.modelSource) }
-      : undefined;
+    const existingBase = existing?.base_model?.startsWith("venice/") === false ? existing.base_model : undefined;
+    const resolvedBase = existingBase ?? resolveVeniceBaseModel(model.id, model.model_spec.name);
     return {
       id,
-      model: resolvedBase === undefined
-        ? factorNewMetadata(baseModel, full)
-        : buildVeniceModel(model, existing, baseModel),
-      metadata,
+      model: buildVeniceModel(model, existing, resolvedBase ?? null),
     };
   },
 } satisfies SyncProvider<VeniceModel>;
@@ -166,20 +161,17 @@ export function buildVeniceModel(
     reasoning_options: reasoningOptions,
     tool_call: capabilities.supportsFunctionCalling === true,
     structured_output: capabilities.supportsResponseSchema === true ? true : undefined,
-    temperature: true,
+    temperature: undefined,
     cost,
     limit,
     modalities: { input: [...new Set(input)], output: ["text" as const] },
   };
-  const changed = existing !== undefined && Object.entries(authoritative).some(([key, value]) => {
-    return stable(value) !== stable(existing[key as keyof ExistingModel]);
-  });
   const releaseDate = new Date(model.created * 1000).toISOString().slice(0, 10);
   const values: SyncedFullModel = {
     ...authoritative,
     family: baseModel == null ? inferFamily(model.id, spec.name) ?? existing?.family : existing?.family,
     release_date: releaseDate,
-    last_updated: existing === undefined || changed ? today : (existing.last_updated ?? today),
+    last_updated: existing?.last_updated ?? today,
     knowledge: existing?.knowledge,
     open_weights: spec.modelSource?.toLowerCase().includes("huggingface")
       ?? existing?.open_weights
@@ -235,6 +227,9 @@ function isReasoningEffort(value: string): value is ReasoningEffort {
 }
 
 function inferFamily(id: string, name: string) {
+  const kimiFamily = inferKimiFamily(id, name);
+  if (kimiFamily !== undefined) return kimiFamily;
+
   const target = `${id} ${name}`.toLowerCase();
   return [...ModelFamilyValues]
     .sort((a, b) => b.length - a.length)
@@ -244,37 +239,3 @@ function inferFamily(id: string, name: string) {
       return new RegExp(`(^|[^a-z0-9])${value}(?=$|[^a-z0-9])`).test(target);
     });
 }
-
-function buildVeniceMetadata(model: SyncedModel, source: string | undefined): SyncedMetadata {
-  if ("base_model" in model) throw new Error("Cannot build Venice metadata from a factored model");
-  const { cost: _cost, reasoning_options: _reasoningOptions, interleaved: _interleaved, status: _status, ...metadata } = model;
-  return {
-    ...metadata,
-    weights: model.open_weights && source?.startsWith("https://huggingface.co/")
-      ? [{ url: source }]
-      : undefined,
-  };
-}
-
-function factorNewMetadata(baseModel: string, model: SyncedModel): SyncedModel {
-  if ("base_model" in model) return model;
-  return {
-    base_model: baseModel,
-    reasoning_options: model.reasoning_options,
-    cost: model.cost,
-    status: model.status,
-    interleaved: model.interleaved,
-  };
-}
-
-function stable(value: unknown): string {
-  if (Array.isArray(value)) return `[${value.map(stable).sort().join(",")}]`;
-  if (value !== null && typeof value === "object") {
-    return `{${Object.entries(value)
-      .filter(([, item]) => item !== undefined)
-      .sort(([a], [b]) => a.localeCompare(b))
-      .map(([key, item]) => `${key}:${stable(item)}`)
-      .join(",")}}`;
-  }
-  return JSON.stringify(value);
-}

packages/core/src/sync/providers/vercel.ts

@@ -1,6 +1,6 @@
 import { z } from "zod";
 
-import { ModelFamilyValues } from "../../family.js";
+import { inferKimiFamily, ModelFamilyValues } from "../../family.js";
 import type { ExistingModel, SyncProvider, SyncedFullModel, SyncedModel } from "../index.js";
 import { factorBaseModel, resolveCanonicalBaseModel } from "./openrouter.js";
 
@@ -153,6 +153,9 @@ function buildCost(pricing: VercelModel["pricing"], existing?: ExistingModel["co
 }
 
 function inferFamily(modelID: string, name: string) {
+  const kimiFamily = inferKimiFamily(modelID, name);
+  if (kimiFamily !== undefined) return kimiFamily;
+
   const targets = [modelID, name].map((value) => value.toLowerCase());
   const families = [...ModelFamilyValues].sort((a, b) => b.length - a.length);
   return families.find((family) => targets.some((target) => target.includes(family.toLowerCase())))

packages/core/test/family.test.ts

@@ -0,0 +1,15 @@
+import { expect, test } from "bun:test";
+
+import { inferKimiFamily } from "../src/family.js";
+
+test("Kimi family inference ignores K2 versions", () => {
+  expect(inferKimiFamily("moonshotai/kimi-k2.5")).toBe("kimi-k2");
+  expect(inferKimiFamily("moonshotai/kimi-k2.7-code")).toBe("kimi-k2");
+  expect(inferKimiFamily("Kimi K2.6")).toBe("kimi-k2");
+});
+
+test("Kimi family inference preserves thinking variants", () => {
+  expect(inferKimiFamily("moonshotai/kimi-k2-thinking")).toBe("kimi-thinking");
+  expect(inferKimiFamily("Kimi K2.5 Thinking")).toBe("kimi-thinking");
+  expect(inferKimiFamily("moonshotai/kimi-k2.6:thinking")).toBe("kimi-thinking");
+});

packages/core/test/venice-sync.test.ts

@@ -5,6 +5,7 @@ import path from "node:path";
 import {
   buildVeniceModel,
   resolveVeniceBaseModel,
+  venice,
   VeniceResponse,
   type VeniceModel,
 } from "../src/sync/providers/venice.js";
@@ -61,6 +62,25 @@ test("Venice emits empty reasoning options when efforts are unavailable", () =>
   expect(synced).toMatchObject({ reasoning: true, reasoning_options: [] });
 });
 
+test("Venice does not infer temperature support", () => {
+  const synced = buildVeniceModel(catalogModel, undefined, null, "2026-06-10");
+
+  expect(synced.temperature).toBeUndefined();
+});
+
+test("Venice skips E2EE models", () => {
+  const translated = venice.translateModel({
+    ...catalogModel,
+    id: "e2ee-test-model",
+    model_spec: {
+      ...catalogModel.model_spec,
+      capabilities: { ...catalogModel.model_spec.capabilities, supportsE2EE: true },
+    },
+  }, { existing: () => undefined });
+
+  expect(translated).toBeUndefined();
+});
+
 test("Venice uses boundary-aware family matching", () => {
   const synced = buildVeniceModel({
     ...catalogModel,
@@ -71,7 +91,7 @@ test("Venice uses boundary-aware family matching", () => {
   expect(synced).toMatchObject({ family: "gemma" });
 });
 
-test("Venice maps API fields and keeps inherited models compact", () => {
+test("Venice maps API fields without bumping inherited model timestamps", () => {
   const synced = buildVeniceModel(catalogModel, {
     base_model: "openai/gpt-5.4",
     name: "GPT-5.4",
@@ -93,7 +113,7 @@ test("Venice maps API fields and keeps inherited models compact", () => {
   expect(synced).toMatchObject({
     base_model: "openai/gpt-5.4",
     base_model_omit: ["limit.input"],
-    last_updated: "2026-06-10",
+    last_updated: "2026-03-09",
     reasoning_options: [{ type: "effort", values: ["none", "low", "medium", "high"] }],
     interleaved: { field: "reasoning_content" },
     cost: {
@@ -108,6 +128,7 @@ test("Venice maps API fields and keeps inherited models compact", () => {
   expect(synced).not.toHaveProperty("release_date");
   expect(synced).not.toHaveProperty("open_weights");
   expect(synced).not.toHaveProperty("modalities");
+  expect(synced).not.toHaveProperty("temperature");
 });
 
 test("Venice preserves last_updated when authoritative data is unchanged", () => {
@@ -127,7 +148,7 @@ test("Venice rejects malformed responses", () => {
   expect(() => VeniceResponse.parse({ data: [{ id: "broken" }] })).toThrow();
 });
 
-test("all Venice models use metadata inheritance and declare reasoning options", async () => {
+test("Venice models use only canonical metadata and declare reasoning options", async () => {
   const root = path.join(import.meta.dirname, "..", "..", "..");
   const modelsDir = path.join(root, "providers", "venice", "models");
 
@@ -136,8 +157,11 @@ test("all Venice models use metadata inheritance and declare reasoning options",
       base_model?: string;
       reasoning_options?: unknown[];
     };
-    expect(model.base_model, file).toBeDefined();
     expect(model.reasoning_options, file).toBeDefined();
-    expect(await Bun.file(path.join(root, "models", `${model.base_model}.toml`)).exists(), file).toBe(true);
+    if (model.base_model !== undefined) {
+      expect(model.base_model.startsWith("venice/"), file).toBe(false);
+      expect(await Bun.file(path.join(root, "models", `${model.base_model}.toml`)).exists(), file).toBe(true);
+    }
+    expect(file.startsWith("e2ee-"), file).toBe(false);
   }
 });

providers/abacus/models/Qwen/QwQ-32B.toml

@@ -4,6 +4,7 @@ release_date = "2024-11-28"
 last_updated = "2024-11-28"
 attachment = false
 reasoning = true
+reasoning_options = []
 temperature = true
 tool_call = true
 open_weights = true

providers/abacus/models/Qwen/Qwen3-235B-A22B-Instruct-2507.toml

@@ -4,6 +4,7 @@ release_date = "2025-07-01"
 last_updated = "2025-07-01"
 attachment = false
 reasoning = true
+reasoning_options = []
 temperature = true
 tool_call = true
 open_weights = true

providers/abacus/models/Qwen/Qwen3-32B.toml

@@ -4,6 +4,7 @@ release_date = "2025-04-29"
 last_updated = "2025-04-29"
 attachment = false
 reasoning = true
+reasoning_options = []
 temperature = true
 tool_call = true
 open_weights = true

providers/abacus/models/Qwen/qwen3-coder-480b-a35b-instruct.toml

@@ -4,6 +4,7 @@ release_date = "2025-07-22"
 last_updated = "2025-07-22"
 attachment = false
 reasoning = true
+reasoning_options = []
 temperature = true
 tool_call = true
 open_weights = true

providers/abacus/models/claude-3-7-sonnet-20250219.toml

@@ -4,6 +4,7 @@ release_date = "2025-02-19"
 last_updated = "2025-02-19"
 attachment = true
 reasoning = true
+reasoning_options = []
 temperature = true
 tool_call = true
 knowledge = "2024-10-31"

providers/abacus/models/claude-haiku-4-5-20251001.toml

@@ -4,6 +4,7 @@ release_date = "2025-10-15"
 last_updated = "2025-10-15"
 attachment = true
 reasoning = true
+reasoning_options = []
 temperature = true
 tool_call = true
 knowledge = "2025-02-28"

providers/abacus/models/claude-opus-4-1-20250805.toml

@@ -4,6 +4,7 @@ release_date = "2025-08-05"
 last_updated = "2025-08-05"
 attachment = true
 reasoning = true
+reasoning_options = []
 temperature = true
 tool_call = true
 open_weights = false

providers/abacus/models/claude-opus-4-20250514.toml

@@ -4,6 +4,7 @@ release_date = "2025-05-14"
 last_updated = "2025-05-14"
 attachment = true
 reasoning = true
+reasoning_options = []
 temperature = true
 tool_call = true
 open_weights = false

providers/abacus/models/claude-opus-4-5-20251101.toml

@@ -4,6 +4,7 @@ release_date = "2025-11-01"
 last_updated = "2025-11-01"
 attachment = true
 reasoning = true
+reasoning_options = []
 temperature = true
 tool_call = true
 knowledge = "2025-03-31"

providers/abacus/models/claude-opus-4-6.toml

@@ -4,6 +4,7 @@ release_date = "2026-02-05"
 last_updated = "2026-02-05"
 attachment = true
 reasoning = true
+reasoning_options = []
 temperature = true
 tool_call = true
 knowledge = "2025-05-31"

providers/abacus/models/claude-sonnet-4-20250514.toml

@@ -4,6 +4,7 @@ release_date = "2025-05-14"
 last_updated = "2025-05-14"
 attachment = true
 reasoning = true
+reasoning_options = []
 temperature = true
 tool_call = true
 open_weights = false

providers/abacus/models/claude-sonnet-4-5-20250929.toml

@@ -4,6 +4,7 @@ release_date = "2025-09-29"
 last_updated = "2025-09-29"
 attachment = true
 reasoning = true
+reasoning_options = []
 temperature = true
 tool_call = true
 knowledge = "2025-07-31"

providers/abacus/models/claude-sonnet-4-6.toml

@@ -4,6 +4,7 @@ release_date = "2026-02-17"
 last_updated = "2026-02-17"
 attachment = true
 reasoning = true
+reasoning_options = []
 temperature = true
 tool_call = true
 knowledge = "2025-08-31"

providers/abacus/models/deepseek-ai/DeepSeek-R1.toml

@@ -4,6 +4,7 @@ release_date = "2025-01-20"
 last_updated = "2025-01-20"
 attachment = false
 reasoning = true
+reasoning_options = []
 temperature = true
 tool_call = true
 open_weights = true

providers/abacus/models/deepseek-ai/DeepSeek-V3.1-Terminus.toml

@@ -4,6 +4,7 @@ release_date = "2025-06-01"
 last_updated = "2025-06-01"
 attachment = false
 reasoning = true
+reasoning_options = []
 temperature = true
 tool_call = true
 open_weights = true

providers/abacus/models/deepseek-ai/DeepSeek-V3.2.toml

@@ -4,6 +4,7 @@ release_date = "2025-06-15"
 last_updated = "2025-06-15"
 attachment = false
 reasoning = true
+reasoning_options = []
 temperature = true
 tool_call = true
 open_weights = true

providers/abacus/models/deepseek/deepseek-v3.1.toml

@@ -4,6 +4,7 @@ release_date = "2025-01-20"
 last_updated = "2025-01-20"
 attachment = false
 reasoning = true
+reasoning_options = []
 temperature = true
 tool_call = true
 open_weights = true

providers/abacus/models/gemini-2.5-flash.toml

@@ -4,6 +4,7 @@ release_date = "2025-03-20"
 last_updated = "2025-06-05"
 attachment = true
 reasoning = true
+reasoning_options = []
 temperature = true
 tool_call = true
 knowledge = "2025-01"

providers/abacus/models/gemini-2.5-pro.toml

@@ -4,6 +4,7 @@ release_date = "2025-03-25"
 last_updated = "2025-03-25"
 attachment = true
 reasoning = true
+reasoning_options = []
 temperature = true
 tool_call = true
 knowledge = "2025-01"

providers/abacus/models/gemini-3-flash-preview.toml

@@ -4,6 +4,7 @@ release_date = "2025-12-17"
 last_updated = "2025-12-17"
 attachment = true
 reasoning = true
+reasoning_options = []
 temperature = true
 tool_call = true
 knowledge = "2025-01"

providers/abacus/models/gemini-3.1-flash-lite-preview.toml

@@ -4,6 +4,7 @@ release_date = "2026-03-01"
 last_updated = "2026-03-01"
 attachment = true
 reasoning = true
+reasoning_options = []
 temperature = true
 tool_call = true
 structured_output = true

providers/abacus/models/gemini-3.1-pro-preview.toml

@@ -4,6 +4,7 @@ release_date = "2026-02-19"
 last_updated = "2026-02-19"
 attachment = true
 reasoning = true
+reasoning_options = []
 temperature = true
 tool_call = true
 structured_output = true

providers/abacus/models/gpt-5-codex.toml

@@ -4,6 +4,7 @@ release_date = "2025-09-15"
 last_updated = "2025-09-15"
 attachment = false
 reasoning = true
+reasoning_options = []
 temperature = false
 knowledge = "2024-09-30"
 tool_call = true

providers/abacus/models/gpt-5-mini.toml

@@ -4,6 +4,7 @@ release_date = "2025-08-07"
 last_updated = "2025-08-07"
 attachment = true
 reasoning = true
+reasoning_options = []
 temperature = false
 knowledge = "2024-05-30"
 tool_call = true

providers/abacus/models/gpt-5-nano.toml

@@ -4,6 +4,7 @@ release_date = "2025-08-07"
 last_updated = "2025-08-07"
 attachment = true
 reasoning = true
+reasoning_options = []
 temperature = false
 knowledge = "2024-05-30"
 tool_call = true

providers/abacus/models/gpt-5.1-chat-latest.toml

@@ -4,6 +4,7 @@ release_date = "2025-11-13"
 last_updated = "2025-11-13"
 attachment = true
 reasoning = true
+reasoning_options = []
 temperature = false
 knowledge = "2024-09-30"
 tool_call = true

providers/abacus/models/gpt-5.1-codex-max.toml

@@ -4,6 +4,7 @@ release_date = "2025-11-13"
 last_updated = "2025-11-13"
 attachment = true
 reasoning = true
+reasoning_options = []
 temperature = false
 knowledge = "2024-09-30"
 tool_call = true

providers/abacus/models/gpt-5.1-codex.toml

@@ -4,6 +4,7 @@ release_date = "2025-11-13"
 last_updated = "2025-11-13"
 attachment = true
 reasoning = true
+reasoning_options = []
 temperature = false
 knowledge = "2024-09-30"
 tool_call = true

providers/abacus/models/gpt-5.1.toml

@@ -4,6 +4,7 @@ release_date = "2025-11-13"
 last_updated = "2025-11-13"
 attachment = true
 reasoning = true
+reasoning_options = []
 temperature = false
 knowledge = "2024-09-30"
 tool_call = true

providers/abacus/models/gpt-5.2-chat-latest.toml

@@ -4,6 +4,7 @@ release_date = "2026-01-01"
 last_updated = "2026-01-01"
 attachment = true
 reasoning = true
+reasoning_options = []
 temperature = true
 knowledge = "2024-09-30"
 tool_call = true

providers/abacus/models/gpt-5.2-codex.toml

@@ -4,6 +4,7 @@ release_date = "2025-12-11"
 last_updated = "2025-12-11"
 attachment = true
 reasoning = true
+reasoning_options = []
 temperature = false
 knowledge = "2025-08-31"
 tool_call = true

providers/abacus/models/gpt-5.2.toml

@@ -4,6 +4,7 @@ release_date = "2025-12-11"
 last_updated = "2025-12-11"
 attachment = true
 reasoning = true
+reasoning_options = []
 temperature = false
 knowledge = "2025-08-31"
 tool_call = true

providers/abacus/models/gpt-5.3-chat-latest.toml

@@ -4,6 +4,7 @@ release_date = "2026-03-01"
 last_updated = "2026-03-01"
 attachment = true
 reasoning = true
+reasoning_options = []
 temperature = true
 tool_call = true
 open_weights = false

providers/abacus/models/gpt-5.3-codex-xhigh.toml

@@ -4,6 +4,7 @@ release_date = "2026-02-05"
 last_updated = "2026-02-05"
 attachment = true
 reasoning = true
+reasoning_options = []
 temperature = false
 knowledge = "2025-08-31"
 tool_call = true

providers/abacus/models/gpt-5.3-codex.toml

@@ -4,6 +4,7 @@ release_date = "2026-02-05"
 last_updated = "2026-02-05"
 attachment = true
 reasoning = true
+reasoning_options = []
 temperature = false
 knowledge = "2025-08-31"
 tool_call = true

providers/abacus/models/gpt-5.4.toml

@@ -4,6 +4,7 @@ release_date = "2026-03-05"
 last_updated = "2026-03-05"
 attachment = true
 reasoning = true
+reasoning_options = []
 temperature = false
 knowledge = "2025-08-31"
 tool_call = true

providers/abacus/models/gpt-5.toml

@@ -4,6 +4,7 @@ release_date = "2025-08-07"
 last_updated = "2025-08-07"
 attachment = true
 reasoning = true
+reasoning_options = []
 temperature = false
 knowledge = "2024-09-30"
 tool_call = true

providers/abacus/models/grok-4-0709.toml

@@ -4,6 +4,7 @@ release_date = "2025-07-09"
 last_updated = "2025-07-09"
 attachment = true
 reasoning = true
+reasoning_options = []
 temperature = true
 tool_call = true
 open_weights = false

providers/abacus/models/kimi-k2-turbo-preview.toml

@@ -1,5 +1,5 @@
 name = "Kimi K2 Turbo Preview"
-family = "kimi"
+family = "kimi-k2"
 release_date = "2025-07-08"
 last_updated = "2025-07-08"
 attachment = false

providers/abacus/models/kimi-k2.5.toml

@@ -1,9 +1,10 @@
 name = "Kimi K2.5"
-family = "kimi"
+family = "kimi-k2"
 release_date = "2026-01"
 last_updated = "2026-01"
 attachment = false
 reasoning = true
+reasoning_options = []
 structured_output = true
 temperature = true
 tool_call = true

providers/abacus/models/o3-mini.toml

@@ -4,6 +4,7 @@ release_date = "2024-12-20"
 last_updated = "2025-01-29"
 attachment = false
 reasoning = true
+reasoning_options = []
 temperature = false
 knowledge = "2024-05"
 tool_call = true

providers/abacus/models/o3-pro.toml

@@ -4,6 +4,7 @@ release_date = "2025-06-10"
 last_updated = "2025-06-10"
 attachment = true
 reasoning = true
+reasoning_options = []
 temperature = false
 knowledge = "2024-05"
 tool_call = true

providers/abacus/models/o3.toml

@@ -4,6 +4,7 @@ release_date = "2025-04-16"
 last_updated = "2025-04-16"
 attachment = true
 reasoning = true
+reasoning_options = []
 temperature = false
 knowledge = "2024-05"
 tool_call = true

providers/abacus/models/o4-mini.toml

@@ -4,6 +4,7 @@ release_date = "2025-04-16"
 last_updated = "2025-04-16"
 attachment = true
 reasoning = true
+reasoning_options = []
 temperature = false
 knowledge = "2024-05"
 tool_call = true

providers/abacus/models/openai/gpt-oss-120b.toml

@@ -4,6 +4,7 @@ release_date = "2025-08-05"
 last_updated = "2025-08-05"
 attachment = true
 reasoning = true
+reasoning_options = [{ type = "effort", values = ["low", "medium", "high"] }]
 temperature = true
 tool_call = true
 open_weights = true

providers/abacus/models/qwen3-max.toml

@@ -4,6 +4,7 @@ release_date = "2025-05-28"
 last_updated = "2025-05-28"
 attachment = false
 reasoning = true
+reasoning_options = []
 temperature = true
 tool_call = true
 open_weights = false

providers/abacus/models/zai-org/glm-4.5.toml

@@ -4,6 +4,7 @@ release_date = "2025-07-28"
 last_updated = "2025-07-28"
 attachment = false
 reasoning = true
+reasoning_options = []
 temperature = true
 tool_call = true
 open_weights = true

providers/abacus/models/zai-org/glm-5.toml

@@ -4,6 +4,7 @@ release_date = "2026-02-11"
 last_updated = "2026-02-11"
 attachment = false
 reasoning = true
+reasoning_options = []
 temperature = true
 tool_call = true
 open_weights = true

providers/aihubmix/models/coding-xiaomi-mimo-v2.5-pro.toml

@@ -1,4 +1,5 @@
 base_model = "xiaomi/mimo-v2.5-pro"
+reasoning_options = [{ type = "toggle" }]
 name = "Coding Xiaomi MiMo-V2.5-Pro"
 family = "mimo-v2.5-pro"
 last_updated = "2026-05-13"

providers/aihubmix/models/coding-xiaomi-mimo-v2.5.toml

@@ -1,4 +1,5 @@
 base_model = "xiaomi/mimo-v2.5"
+reasoning_options = [{ type = "toggle" }]
 name = "Coding Xiaomi MiMo-V2.5"
 family = "mimo-v2.5"
 last_updated = "2026-05-13"

providers/aihubmix/models/kimi-k2.5.toml

@@ -1,5 +1,5 @@
 name = "Kimi K2.5"
-family = "kimi-k2.5"
+family = "kimi-k2"
 release_date = "2026-01"
 last_updated = "2026-01"
 attachment = true

providers/aihubmix/models/kimi-k2.6.toml

@@ -1,5 +1,5 @@
 name = "Kimi K2.6"
-family = "kimi-k2.6"
+family = "kimi-k2"
 release_date = "2026-04-21"
 last_updated = "2026-04-21"
 attachment = true