diff --git a/.gitignore b/.gitignore
index 2082a02d..b811526e 100644
--- a/.gitignore
+++ b/.gitignore
@@ -32,7 +32,7 @@ bindings/node/artifacts/
 bindings/node/npm/
 bindings/node/bench/node_modules/
 bindings/node/bench/package-lock.json
-bindings/python/**/__pycache__/
+__pycache__/
 bindings/python/uv.lock
 bindings/kotlin/build/
 
diff --git a/Cargo.toml b/Cargo.toml
index 4ce588ad..d66751c5 100644
--- a/Cargo.toml
+++ b/Cargo.toml
@@ -5,7 +5,6 @@ members = [
     "aimux-provider-utils",
     "aimux-providers",
     "aimux-stream",
-    "scripts/fix_tool",
     "tools/aimux-cli",
     "tools/aimux-replay",
     "tools/aimux-web",
@@ -67,14 +66,6 @@ url = "2"
 tracing = "0.1"
 tracing-subscriber = { version = "0.3", features = ["env-filter"] }
 
-# Schema / validation
-schemars = "0.8"
-
-# Proc-macro support
-proc-macro2 = "1"
-syn = { version = "2", features = ["full"] }
-quote = "1"
-
 # Internal crates
 aimux-core = { path = "aimux-core", version = "0.3.0" }
 aimux-providers = { path = "aimux-providers", version = "0.3.0" }
diff --git a/aimux-providers/src/provider.rs b/aimux-providers/src/provider.rs
index aee64572..a22fc334 100644
--- a/aimux-providers/src/provider.rs
+++ b/aimux-providers/src/provider.rs
@@ -1,7 +1,7 @@
 //! Registry-backed provider construction (RFC-0017 phase 4).
 //!
-//! Single source of truth: [`provider_registry.json`](provider_registry.json)
-//! (generated by `scripts/gen_provider_registry.py`). All built-in
+//! Single source of truth: [`provider_registry.json`](provider_registry.json),
+//! edited by hand (one row per provider). All built-in
 //! OpenAI-compatible providers are looked up by name at runtime — there are no
 //! per-provider `XxxConfig`/`XxxProvider` types anymore (retired in phase 4).
 //!
@@ -83,12 +83,8 @@ static REGISTRY: OnceLock<Vec<RegistryEntry>> = OnceLock::new();
 fn registry() -> &'static [RegistryEntry] {
     REGISTRY.get_or_init(|| {
         let raw = include_str!("provider_registry.json");
-        let entries: Vec<RegistryEntry> = serde_json::from_str(raw).unwrap_or_else(|e| {
-            panic!(
-                "provider_registry.json is invalid: {e} — regenerate with \
-                 scripts/gen_provider_registry.py"
-            )
-        });
+        let entries: Vec<RegistryEntry> = serde_json::from_str(raw)
+            .unwrap_or_else(|e| panic!("provider_registry.json is invalid: {e}"));
         for entry in &entries {
             assert!(!entry.name.is_empty(), "registry entry missing name");
             assert!(
diff --git a/scripts/check_missing.py b/scripts/check_missing.py
deleted file mode 100644
index ff2d8bdc..00000000
--- a/scripts/check_missing.py
+++ /dev/null
@@ -1,259 +0,0 @@
-#!/usr/bin/env python3
-"""Check which inventory providers still have no .rs implementation."""
-
-import re
-from pathlib import Path
-
-REPO = Path(__file__).resolve().parent.parent
-INV = REPO / "rfc" / "0004-provider-inventory.md"
-SRC = REPO / "aimux-providers" / "src"
-
-# Get all existing .rs module names
-existing_mods = {f.stem for f in SRC.glob("*.rs") if f.stem != "lib"}
-
-# Also check lib.rs for pub mod declarations
-lib_rs = (SRC / "lib.rs").read_text(encoding="utf-8")
-declared_mods = set(re.findall(r'^pub mod (\w+)', lib_rs, re.MULTILINE))
-
-# Name mapping: inventory name -> possible .rs module names
-# (inventory names that don't directly map to a filename)
-NAME_ALIASES = {
-    "ollama": ["ollama"],
-    "openrouter": ["openrouter"],
-    "mistralrs": ["mistralrs"],
-    "llamafile": ["llamafile"],
-    "doubleword": ["doubleword"],
-    "copilot (github)": ["copilot"],
-    "github_copilot": ["copilot"],
-    "github (models)": ["github"],
-    "chatgpt (订阅)": ["chatgpt"],
-    "zai (智谱/z.ai)": ["zai"],
-    "zhipu (智谱/glm)": ["bigmodel", "zai"],
-    "baidu (文心/ernie)": ["baidu"],
-    "tencent (混元/hunyuan)": ["tencent"],
-    "xunfei (讯飞/spark)": ["xunfei"],
-    "baichuan": ["baichuan"],
-    "stepfun (阶跃)": ["stepfun"],
-    "minimax": ["minimax"],
-    "moonshot (kimi)": ["moonshotai"],
-    "lingyiwanwu (零一/yi)": ["lingyiwanwu"],
-    "yi (零一)": ["lingyiwanwu"],
-    "360 (ai360/zhinao)": ["qihoo360"],
-    "coze (扣子)": ["coze"],
-    "siliconflow (硅基流动)": ["siliconflow"],
-    "qiniu-ai (七牛)": ["qiniu_ai"],
-    "longcat": ["longcat"],
-    "bigmodel (智谱)": ["bigmodel"],
-    "aihubmix": ["aihubmix"],
-    "mira": ["mira"],
-    "xiaomimimo (小米)": ["xiaomimimo"],
-    "byteplus": ["byteplus"],
-    "perfxcloud": ["perfxcloud"],
-    "llama.cpp": ["llamacpp"],
-    "lmstudio": ["lmstudio"],
-    "vllm": ["vllm"],
-    "sgl (sglang)": ["sglang"],
-    "sglang": ["sglang"],
-    "xinference": ["xinference"],
-    "omlx / mlx_lm": ["omlx"],
-    "mlx": ["mlx"],
-    "local (通用本地)": ["local"],
-    "cybertron": ["cybertron"],
-    "jlama": ["jlama"],
-    "localai": ["localai"],
-    "onnx": ["onnx"],
-    "openvino": ["openvino"],
-    "gaudi": ["gaudi"],
-    "jina": ["jina"],
-    "jina_ai": ["jina"],
-    "nomic": ["nomic"],
-    "mixedbread": ["mixedbread"],
-    "clip": ["clip"],
-    "pg_vector": ["pg_vector"],
-    "s3_vectors": ["s3_vectors"],
-    "milvus (向量库)": ["milvus"],
-    "qdrant (向量库)": ["qdrant"],
-    "fastembed": ["fastembed"],
-    "stability": ["stability_ai"],
-    "stability-ai": ["stability_ai"],
-    "recraft": ["recraft"],
-    "runwayml": ["runwayml"],
-    "runway": ["runwayml"],
-    "aws_polly": ["aws_polly"],
-    "nvidia_riva": ["nvidia_riva"],
-    "soniox": ["soniox"],
-    "midjourney": ["midjourney"],
-    "sora": ["sora"],
-    "vidu (视频)": ["vidu"],
-    "vidu": ["vidu"],
-    "jimeng (即梦)": ["jimeng"],
-    "ideogram": ["ideogram"],
-    "flux": ["flux"],
-    "suno (音乐)": ["suno"],
-    "suno": ["suno"],
-    "meshy": ["meshy"],
-    "tripo3d": ["tripo3d"],
-    "segmind": ["segmind"],
-    "runware": ["runware"],
-    "sarvam": ["sarvam"],
-    "murf": ["murf"],
-    "playai": ["playai"],
-    "speechify": ["speechify"],
-    "inworld": ["inworld"],
-    "ai21": ["ai21"],
-    "anyscale": ["anyscale"],
-    "sambanova": ["sambanova"],
-    "predibase": ["predibase"],
-    "triton (nvidia)": ["triton"],
-    "triton": ["triton"],
-    "databricks": ["databricks"],
-    "sagemaker (aws)": ["sagemaker"],
-    "watsonx (ibm)": ["watsonx"],
-    "scaleway": ["scaleway"],
-    "snowflake": ["snowflake"],
-    "sap": ["sap"],
-    "oci (oracle)": ["oci"],
-    "nlp_cloud": ["nlp_cloud"],
-    "friendliai": ["friendliai"],
-    "clarifai": ["clarifai"],
-    "gigachat (三星)": ["gigachat"],
-    "codestral": ["codestral"],
-    "morph": ["morph"],
-    "v0": ["v0"],
-    "aiml": ["aiml"],
-    "heroku": ["heroku"],
-    "hosted_vllm": ["hosted_vllm"],
-    "nvidia_nim": ["nvidia_nim"],
-    "nscale": ["nscale"],
-    "lambda_ai": ["lambda_ai"],
-    "petals": ["petals"],
-    "oobabooba": ["oobabooba"],
-    "inception": ["inception"],
-    "galadriel": ["galadriel"],
-    "gdc": ["gdc"],
-    "datarobot": ["datarobot"],
-    "infinity": ["infinity"],
-    "kluster-ai": ["kluster_ai"],
-    "krutrim": ["krutrim"],
-    "bytez": ["bytez"],
-    "upstage": ["upstage"],
-    "deepbricks": ["deepbricks"],
-    "lemonfox-ai": ["lemonfox_ai"],
-    "inference-net": ["inference_net"],
-    "302ai": ["ai302"],
-    "matterai": ["matterai"],
-    "nextbit": ["nextbit"],
-    "modal": ["modal"],
-    "aibadgr": ["aibadgr"],
-    "ncompass": ["ncompass"],
-    "reka-ai": ["reka_ai"],
-    "sgl": ["sglang"],
-    "parasail": ["parasail"],
-    "wafer": ["wafer"],
-    "bedrock_mantle": ["bedrock_mantle"],
-    "nous (nousresearch)": ["nous_research"],
-    "opencode-go": ["opencode_go"],
-    "opencode-zen": ["opencode_zen"],
-    "kiro": ["kiro"],
-    "pioneer": ["pioneer"],
-    "kilo": ["kilo"],
-    "cline-pass": ["cline_pass"],
-    "commandcode": ["commandcode"],
-    "portkey": ["portkey"],
-    "helicone": ["helicone"],
-    "requesty": ["requesty"],
-    "cometapi": ["cometapi"],
-    "novita": ["novita"],
-    "submodel": ["submodel"],
-    "api2d": ["api2d"],
-    "ohmygpt": ["ohmygpt"],
-    "closeai": ["closeai"],
-    "openaisb": ["openaisb"],
-    "openaimax": ["openaimax"],
-    "ails": ["ails"],
-    "api2gpt": ["api2gpt"],
-    "aigc2d": ["aigc2d"],
-    "fastgpt": ["fastgpt"],
-    "tokenpony": ["tokenpony"],
-    "fastrouter": ["fastrouter"],
-    "orcarouter": ["orcarouter"],
-    "ovhcloud": ["ovhcloud"],
-    "nebius": ["nebius"],
-    "hyperbolic": ["hyperbolic"],
-    "featherless-ai": ["featherless_ai"],
-    "meta": ["meta_llama"],
-    "meta_llama": ["meta_llama"],
-    "modelscope (魔搭)": ["modelscope"],
-    "docker_model_runner": ["docker_model_runner"],
-    "ollama_cloud": ["ollama_cloud"],
-    "litellm_proxy": ["litellm_proxy"],
-    "compactifai": ["compactifai"],
-    "doubaoaudio": ["doubaoaudio"],
-    "mokaai": ["mokaai"],
-    "skylark (云雀)": ["skylark"],
-    "bing (new bing)": ["bing"],
-    "slack (slack claude)": ["slack"],
-    "deepl": ["deepl"],
-    "dify": ["dify"],
-    "doc2x": ["doc2x"],
-    "sangforaicp": ["sangforaicp"],
-    "streamlake": ["streamlake"],
-    "antling": ["antling"],
-    "text_embeddings_inference": ["text_embeddings_inference", "tei"],
-    "tei (text embeddings inference)": ["tei", "text_embeddings_inference"],
-    "sakana": ["sakana"],
-    "scx-ai": ["scx_ai"],
-    "atlascloud": ["atlascloud"],
-    "canopywave": ["canopywave"],
-    "embercloud": ["embercloud"],
-    "tundra": ["tundra"],
-    "reve": ["reve"],
-    "gonka24": ["gonka24"],
-    "albert": ["albert"],
-    "fastcrw": ["fastcrw"],
-    "apiserpent": ["apiserpent"],
-    "nanogpt": ["nanogpt"],
-    "vercel (ai gateway)": ["vercel"],
-    "gradient_ai": ["gradient_ai"],
-    "azure_ai": ["azure_ai"],
-}
-
-# Parse inventory for all provider names in tables
-content = INV.read_text(encoding="utf-8")
-cross = "\u274C"
-check = "\u2705"
-
-missing = []
-for line in content.split("\n"):
-    if not line.startswith("|"):
-        continue
-    parts = [p.strip() for p in line.split("|")]
-    if len(parts) < 4:
-        continue
-    name = parts[1]
-    if not name or name in ("厂商", "厂商/类型", "模块"):
-        continue
-    if name.startswith("-"):
-        continue
-
-    # Check if aimux column (parts[2]) still has ❌
-    if cross not in parts[2]:
-        continue  # already has some ✅
-
-    # This provider is marked ❌ in aimux column
-    # Check if we have an implementation
-    aliases = NAME_ALIASES.get(name, [name.replace("-", "_").replace(".", "_").replace("/", "_").replace(" ", "_").lower()])
-    # Also try the raw name
-    aliases = list(set(aliases + [name.replace("-", "_").replace(".", "_").replace(" ", "_").lower()]))
-
-    found = False
-    for alias in aliases:
-        if alias in existing_mods or alias in declared_mods:
-            found = True
-            break
-    if not found:
-        missing.append(name)
-
-print(f"Still missing (cross mark in inventory, no .rs found): {len(missing)}")
-for m in missing:
-    print(f"  {m}")
diff --git a/scripts/fix_profiles.rs b/scripts/fix_profiles.rs
deleted file mode 100644
index ef12e044..00000000
--- a/scripts/fix_profiles.rs
+++ /dev/null
@@ -1,105 +0,0 @@
-// 批量给薄封装加 OpenAICompatProfile::full()
-// 用法: cargo run --release -p fix-profiles
-// 或者直接用 rustc 跑
-use std::fs;
-use std::path::PathBuf;
-
-fn main() {
-    let dir = PathBuf::from("aimux-providers/src");
-    let mut fixed = 0;
-    let mut skipped = 0;
-
-    for entry in fs::read_dir(&dir).unwrap() {
-        let entry = entry.unwrap();
-        let path = entry.path();
-        let name = path.file_name().unwrap().to_str().unwrap().to_string();
-
-        // 跳过非 .rs 文件和已处理的文件
-        if !name.ends_with(".rs") || name == "lib.rs" || name == "open_responses.rs" {
-            continue;
-        }
-        if name == "groq.rs" || name == "alibaba.rs" {
-            continue;
-        }
-
-        let content = fs::read_to_string(&path).unwrap();
-
-        // 只处理薄封装（包含 OpenAIProvider::new 但不含 OpenAICompatProfile）
-        if !content.contains("OpenAIProvider::new") || content.contains("OpenAICompatProfile") {
-            skipped += 1;
-            continue;
-        }
-
-        let mut new_content = content.clone();
-
-        // 1. 加 import：把 use crate::openai::{OpenAIConfig, ...} 改成包含 OpenAICompatProfile
-        // 情况 A: use crate::openai::{OpenAIConfig, OpenAIModel, OpenAIProvider};
-        if new_content.contains("use crate::openai::{OpenAIConfig") {
-            new_content = new_content.replace(
-                "use crate::openai::{OpenAIConfig",
-                "use crate::openai::{OpenAICompatProfile, OpenAIConfig",
-            );
-        }
-        // 情况 B: use crate::openai::OpenAIConfig; （单独一行）
-        else if new_content.contains("use crate::openai::OpenAIConfig;") {
-            new_content = new_content.replace(
-                "use crate::openai::OpenAIConfig;",
-                "use crate::openai::{OpenAICompatProfile, OpenAIConfig};",
-            );
-        }
-
-        // 2. 在 OpenAIConfig::new(api_key) 链的末尾加 .with_profile(OpenAICompatProfile::full())
-        // 模式 A: .with_provider(PROVIDER_NAME)\n        )  → 加 .with_profile 在 ) 前
-        // 模式 B: .with_base_url(DEFAULT_BASE_URL)\n        )  → 加 .with_provider + .with_profile
-
-        // 先试模式 A：已有 .with_provider(PROVIDER_NAME)
-        if new_content.contains(".with_provider(PROVIDER_NAME)") {
-            // 在 .with_provider(PROVIDER_NAME) 后面加 .with_profile
-            // 需要找缩进
-            if let Some(pos) = new_content.find(".with_provider(PROVIDER_NAME)") {
-                let line_start = &new_content[pos..];
-                // 找这行结尾的换行
-                if let Some(nl) = line_start.find('\n') {
-                    let after = &line_start[nl+1..];
-                    // 找下一个非空白行
-                    let indent: String = after.chars().take_while(|c| c.is_whitespace() && *c != '\n').collect();
-                    let insert = format!("\n{}.with_profile(OpenAICompatProfile::full())", indent);
-                    // 只在后面是 ) 时插入
-                    let rest = after.trim_start();
-                    if rest.starts_with(')') {
-                        let split = pos + line_start[..nl].len();
-                        new_content = format!("{}{}{}", &new_content[..split], insert, &new_content[split..]);
-                    }
-                }
-            }
-        }
-        // 模式 B：只有 .with_base_url(DEFAULT_BASE_URL)，没有 .with_provider
-        else if new_content.contains(".with_base_url(DEFAULT_BASE_URL)") {
-            // 在 .with_base_url(DEFAULT_BASE_URL) 后加 .with_provider(PROVIDER_NAME) 和 .with_profile
-            if let Some(pos) = new_content.find(".with_base_url(DEFAULT_BASE_URL)") {
-                let line_start = &new_content[pos..];
-                if let Some(nl) = line_start.find('\n') {
-                    let after = &line_start[nl+1..];
-                    let indent: String = after.chars().take_while(|c| c.is_whitespace() && *c != '\n').collect();
-                    let rest = after.trim_start();
-                    if rest.starts_with(')') {
-                        let insert = format!("\n{}.with_provider(PROVIDER_NAME)\n{}.with_profile(OpenAICompatProfile::full())", indent, indent);
-                        let split = pos + line_start[..nl].len();
-                        new_content = format!("{}{}{}", &new_content[..split], insert, &new_content[split..]);
-                    }
-                }
-            }
-        }
-
-        if new_content != content {
-            fs::write(&path, new_content).unwrap();
-            fixed += 1;
-            println!("Fixed: {}", name);
-        } else {
-            println!("SKIP (no pattern matched): {}", name);
-            skipped += 1;
-        }
-    }
-
-    println!("\n总计: {} fixed, {} skipped", fixed, skipped);
-}
diff --git a/scripts/fix_profiles2.rs b/scripts/fix_profiles2.rs
deleted file mode 100644
index 46c37ca4..00000000
--- a/scripts/fix_profiles2.rs
+++ /dev/null
@@ -1,68 +0,0 @@
-// 修复 with_profile 插入位置错误
-use std::fs;
-use std::path::PathBuf;
-
-fn main() {
-    let dir = PathBuf::from("aimux-providers/src");
-    let mut fixed = 0;
-
-    for entry in fs::read_dir(&dir).unwrap() {
-        let entry = entry.unwrap();
-        let path = entry.path();
-        let name = path.file_name().unwrap().to_str().unwrap().to_string();
-        if !name.ends_with(".rs") || name == "lib.rs" {
-            continue;
-        }
-
-        let content = fs::read_to_string(&path).unwrap();
-        if !content.contains("OpenAICompatProfile") {
-            continue;
-        }
-
-        let mut new_content = content.clone();
-
-        // 修复模式 A: .with_provider(PROVIDER_NAME),\n        .with_profile(...)\n        )
-        // 改成: .with_provider(PROVIDER_NAME)\n                .with_profile(...),\n        )
-        new_content = new_content.replace(
-            ".with_provider(PROVIDER_NAME),\n        .with_profile(OpenAICompatProfile::full())\n        )",
-            ".with_provider(PROVIDER_NAME)\n                .with_profile(OpenAICompatProfile::full()),\n        )",
-        );
-
-        // 修复模式 B: .with_base_url(DEFAULT_BASE_URL),\n        .with_provider(PROVIDER_NAME)\n        .with_profile(...)\n        )
-        // 改成: .with_base_url(DEFAULT_BASE_URL)\n                .with_provider(PROVIDER_NAME)\n                .with_profile(...),\n        )
-        new_content = new_content.replace(
-            ".with_base_url(DEFAULT_BASE_URL),\n        .with_provider(PROVIDER_NAME)\n        .with_profile(OpenAICompatProfile::full())\n        )",
-            ".with_base_url(DEFAULT_BASE_URL)\n                .with_provider(PROVIDER_NAME)\n                .with_profile(OpenAICompatProfile::full()),\n        )",
-        );
-
-        // 通用修复：任何 .with_profile(OpenAICompatProfile::full())\n        ) 
-        // 前面缺逗号且缩进不对的，修成正确格式
-        // 模式: ,\n        .with_profile(OpenAICompatProfile::full())\n        )
-        // 这种在 ) 前面没逗号的情况
-        if new_content.contains(".with_profile(OpenAICompatProfile::full())\n        )") {
-            // 检查是不是已经有了正确的逗号
-            if !new_content.contains(".with_profile(OpenAICompatProfile::full()),\n        )") {
-                new_content = new_content.replace(
-                    ".with_profile(OpenAICompatProfile::full())\n        )",
-                    ".with_profile(OpenAICompatProfile::full()),\n        )",
-                );
-            }
-        }
-
-        // 修复模式: .with_profile(...) 出现在 ) 之后（独立行以 . 开头）
-        // 即: ),\n        .with_profile(...)
-        // 这种应该是: .with_profile(...),\n        )
-        if new_content.contains("),\n        .with_profile(OpenAICompatProfile::full())") {
-            // 这种是错误的——需要把 .with_profile 移到 ) 前面
-            // 但这个比较复杂，先标记
-        }
-
-        if new_content != content {
-            fs::write(&path, new_content).unwrap();
-            fixed += 1;
-            println!("Fixed: {}", name);
-        }
-    }
-
-    println!("\n总计: {} fixed", fixed);
-}
diff --git a/scripts/fix_profiles3.rs b/scripts/fix_profiles3.rs
deleted file mode 100644
index a12003da..00000000
--- a/scripts/fix_profiles3.rs
+++ /dev/null
@@ -1,42 +0,0 @@
-// 修复残留的 with_profile 位置错误
-use std::fs;
-use std::path::PathBuf;
-
-fn main() {
-    let dir = PathBuf::from("aimux-providers/src");
-    let mut fixed = 0;
-
-    for entry in fs::read_dir(&dir).unwrap() {
-        let entry = entry.unwrap();
-        let path = entry.path();
-        let name = path.file_name().unwrap().to_str().unwrap().to_string();
-        if !name.ends_with(".rs") || name == "lib.rs" {
-            continue;
-        }
-
-        let content = fs::read_to_string(&path).unwrap();
-        let mut new_content = content.clone();
-
-        // 修复: .with_provider(PROVIDER_NAME),\n        .with_profile(OpenAICompatProfile::full()),\n        )
-        // → .with_provider(PROVIDER_NAME)\n                .with_profile(OpenAICompatProfile::full()),\n        )
-        new_content = new_content.replace(
-            ".with_provider(PROVIDER_NAME),\n        .with_profile(OpenAICompatProfile::full()),\n        )",
-            ".with_provider(PROVIDER_NAME)\n                .with_profile(OpenAICompatProfile::full()),\n        )",
-        );
-
-        // 修复: .with_base_url(DEFAULT_BASE_URL),\n        .with_provider(PROVIDER_NAME),\n        .with_profile(...)
-        // → 正确格式
-        new_content = new_content.replace(
-            ".with_base_url(DEFAULT_BASE_URL),\n        .with_provider(PROVIDER_NAME),\n        .with_profile(OpenAICompatProfile::full()),\n        )",
-            ".with_base_url(DEFAULT_BASE_URL)\n                .with_provider(PROVIDER_NAME)\n                .with_profile(OpenAICompatProfile::full()),\n        )",
-        );
-
-        if new_content != content {
-            fs::write(&path, new_content).unwrap();
-            fixed += 1;
-            println!("Fixed: {}", name);
-        }
-    }
-
-    println!("\n总计: {} fixed", fixed);
-}
diff --git a/scripts/fix_profiles4.rs b/scripts/fix_profiles4.rs
deleted file mode 100644
index b866ad83..00000000
--- a/scripts/fix_profiles4.rs
+++ /dev/null
@@ -1,49 +0,0 @@
-// 修复残留的 with_profile 位置错误 - 更通用的匹配
-use std::fs;
-use std::path::PathBuf;
-use regex::Regex;
-
-fn main() {
-    let dir = PathBuf::from("aimux-providers/src");
-    let mut fixed = 0;
-
-    // 匹配: .with_provider(PROVIDER_NAME),\n<ws>.with_profile(OpenAICompatProfile::full()),\n<ws>)
-    let re = Regex::new(
-        r"\.with_provider\(PROVIDER_NAME\),\n\s+\.with_profile\(OpenAICompatProfile::full\(\)\),\n\s+\)"
-    ).unwrap();
-
-    // 也匹配: .with_base_url(DEFAULT_BASE_URL),\n<ws>.with_provider(PROVIDER_NAME),\n<ws>.with_profile(...)
-    let re2 = Regex::new(
-        r"\.with_base_url\(DEFAULT_BASE_URL\),\n\s+\.with_provider\(PROVIDER_NAME\),\n\s+\.with_profile\(OpenAICompatProfile::full\(\)\),\n\s+\)"
-    ).unwrap();
-
-    for entry in fs::read_dir(&dir).unwrap() {
-        let entry = entry.unwrap();
-        let path = entry.path();
-        let name = path.file_name().unwrap().to_str().unwrap().to_string();
-        if !name.ends_with(".rs") || name == "lib.rs" {
-            continue;
-        }
-
-        let content = fs::read_to_string(&path).unwrap();
-        let mut new_content = content.clone();
-
-        // 先修 re2（更长的模式）
-        new_content = re2.replace_all(&new_content,
-            ".with_base_url(DEFAULT_BASE_URL)\n                .with_provider(PROVIDER_NAME)\n                .with_profile(OpenAICompatProfile::full()),\n        )"
-        ).to_string();
-
-        // 再修 re
-        new_content = re.replace_all(&new_content,
-            ".with_provider(PROVIDER_NAME)\n                .with_profile(OpenAICompatProfile::full()),\n        )"
-        ).to_string();
-
-        if new_content != content {
-            fs::write(&path, new_content).unwrap();
-            fixed += 1;
-            println!("Fixed: {}", name);
-        }
-    }
-
-    println!("\n总计: {} fixed", fixed);
-}
diff --git a/scripts/fix_profiles5.rs b/scripts/fix_profiles5.rs
deleted file mode 100644
index 60678e81..00000000
--- a/scripts/fix_profiles5.rs
+++ /dev/null
@@ -1,81 +0,0 @@
-// 修复残留的 with_profile 位置错误 - 纯字符串匹配
-use std::fs;
-use std::path::PathBuf;
-
-fn main() {
-    let dir = PathBuf::from("aimux-providers/src");
-    let mut fixed = 0;
-
-    for entry in fs::read_dir(&dir).unwrap() {
-        let entry = entry.unwrap();
-        let path = entry.path();
-        let name = path.file_name().unwrap().to_str().unwrap().to_string();
-        if !name.ends_with(".rs") || name == "lib.rs" {
-            continue;
-        }
-
-        let content = fs::read_to_string(&path).unwrap();
-        if !content.contains("with_profile") {
-            continue;
-        }
-
-        let mut new_content = content.clone();
-
-        // 通用修复：找到 .with_provider(PROVIDER_NAME), 后面跟着换行+空格+.with_profile 的模式
-        // 把它改成 .with_provider(PROVIDER_NAME)\n                .with_profile(...),\n        )
-        // 通过逐行处理
-        let lines: Vec<&str> = new_content.lines().collect();
-        let mut result = String::new();
-        let mut i = 0;
-        while i < lines.len() {
-            let line = lines[i];
-            // 检查当前行是否以 .with_provider(PROVIDER_NAME), 结尾
-            if line.trim_end().ends_with(".with_provider(PROVIDER_NAME),") {
-                // 去掉末尾逗号
-                let trimmed = line.trim_end();
-                let without_comma = &trimmed[..trimmed.len() - 1];
-                result.push_str(without_comma);
-                result.push('\n');
-                i += 1;
-                // 检查下一行是否是 .with_profile(OpenAICompatProfile::full()),
-                if i < lines.len() {
-                    let next = lines[i].trim();
-                    if next.starts_with(".with_profile(OpenAICompatProfile::full())") {
-                        // 加正确的缩进（16空格）
-                        result.push_str("                .with_profile(OpenAICompatProfile::full()),\n");
-                        i += 1;
-                        // 跳过下一个 ) 行，加正确的 )
-                        if i < lines.len() && lines[i].trim() == ")" {
-                            result.push_str("        )\n");
-                            i += 1;
-                        }
-                        continue;
-                    }
-                }
-                // 如果不是预期模式，恢复逗号
-                result = result.trim_end_matches(without_comma).to_string();
-                result.push_str(line);
-                result.push('\n');
-            } else {
-                result.push_str(line);
-                result.push('\n');
-                i += 1;
-            }
-        }
-
-        // 同样修复 .with_base_url(DEFAULT_BASE_URL), 后跟 .with_provider 的模式
-        // 但这更复杂，先只处理上面的
-
-        if new_content.trim_end_matches('\n') != result.trim_end_matches('\n') && result.contains(".with_profile(OpenAICompatProfile::full()),\n        )") {
-            new_content = result;
-        }
-
-        if new_content != content {
-            fs::write(&path, &new_content).unwrap();
-            fixed += 1;
-            println!("Fixed: {}", name);
-        }
-    }
-
-    println!("\n总计: {} fixed", fixed);
-}
diff --git a/scripts/fix_tool/Cargo.toml b/scripts/fix_tool/Cargo.toml
deleted file mode 100644
index e1e9f7de..00000000
--- a/scripts/fix_tool/Cargo.toml
+++ /dev/null
@@ -1,13 +0,0 @@
-[package]
-name = "fix_tool"
-version.workspace = true
-edition.workspace = true
-license.workspace = true
-repository.workspace = true
-description.workspace = true
-rust-version.workspace = true
-
-[dependencies]
-
-[lints]
-workspace = true
diff --git a/scripts/fix_tool/src/main.rs b/scripts/fix_tool/src/main.rs
deleted file mode 100644
index e7a11a96..00000000
--- a/scripts/fix_tool/src/main.rs
+++ /dev/null
@@ -1,3 +0,0 @@
-fn main() {
-    println!("Hello, world!");
-}
diff --git a/scripts/gen_provider_registry.py b/scripts/gen_provider_registry.py
deleted file mode 100644
index d53bcd0d..00000000
--- a/scripts/gen_provider_registry.py
+++ /dev/null
@@ -1,99 +0,0 @@
-#!/usr/bin/env python3
-"""Generate provider-registry.json from openai_compat_registry.rs (RFC-0017 phase 4).
-
-Single source of truth: the registry declaration file. This script extracts
-name/display/base_url/env_var/profile for all 250 OpenAI-compatible providers
-and writes aimux-providers/src/provider_registry.json (embedded via include_str!).
-Also regenerates the ProviderName derived types (Rust enum / TS union / ...).
-
-Usage: uv run python scripts/gen_provider_registry.py
-Idempotent: overwrites the output files.
-"""
-
-import json
-import re
-import sys
-from pathlib import Path
-
-ROOT = Path(__file__).resolve().parent.parent
-REGISTRY = ROOT / "aimux-providers" / "src" / "openai_compat_registry.rs"
-OUT_JSON = ROOT / "aimux-providers" / "src" / "provider_registry.json"
-
-BLOCK_RE = re.compile(
-    r"declare_openai_compat_provider!\((.*?)\);", re.DOTALL
-)
-PROFILE_RE = re.compile(
-    r"OpenAICompatProfile::(\w+)\(\)(.*?)$", re.DOTALL
-)
-MAX_TOKENS_RE = re.compile(r'\.with_max_tokens_key\("([^"]+)"\)')
-
-
-def parse_profile(expr: str) -> dict:
-    """Translate a profile expression into its JSON form (non-default fields only)."""
-    m = PROFILE_RE.search(expr.strip())
-    if not m:
-        raise ValueError(f"unparseable profile expr: {expr!r}")
-    kind = m.group(1)
-    rest = m.group(2)
-
-    profile: dict = {}
-    if kind == "groq":
-        # Full groq() semantics (mod.rs OpenAICompatProfile::groq()):
-        # supports_top_k=false, stream_usage_key="x_groq",
-        # max_tokens_key="max_completion_tokens" (stage2-002 wiring).
-        profile.update({
-            "supports_top_k": False,
-            "stream_usage_key": "x_groq",
-            "max_tokens_key": "max_completion_tokens",
-        })
-    elif kind == "deepseek":
-        # deepseek() now returns full() semantics (RFC-0017 phase 2 retirements)
-        pass
-    elif kind != "full":
-        raise ValueError(f"unknown profile kind: {kind}")
-
-    mt = MAX_TOKENS_RE.search(rest)
-    if mt:
-        profile["max_tokens_key"] = mt.group(1)
-
-    return profile
-
-
-def main() -> int:
-    text = REGISTRY.read_text(encoding="utf-8")
-    entries = []
-    for block in BLOCK_RE.finditer(text):
-        body = re.sub(r"\s+", " ", block.group(1)).strip()
-        parts = body.split(", ")
-        if len(parts) < 7:
-            raise ValueError(f"malformed block: {block.group(0)[:80]!r}")
-        name = parts[0].strip('"')
-        display = parts[3].strip('"')
-        # base_url part may carry a preceding `//` comment line (freemodel);
-        # take the LAST quoted string in the part. xpersona's "/v1" is a known
-        # unresolved base_url (research backlog), kept as-is.
-        base_urls = re.findall(r'"([^"]*)"', parts[4])
-        if not base_urls:
-            raise ValueError(f"no string literal in base_url part: {parts[4]!r}")
-        base_url = base_urls[-1]
-        env_var = re.match(r'"([^"]*)"', parts[5]).group(1)
-        profile = parse_profile(parts[6])
-        entries.append({
-            "name": name,
-            "display": display,
-            "base_url": base_url,
-            "env_var": env_var,
-            "profile": profile,
-        })
-
-    entries.sort(key=lambda e: e["name"])
-    OUT_JSON.write_text(
-        json.dumps(entries, ensure_ascii=False, indent=2) + "\n",
-        encoding="utf-8",
-    )
-    print(f"provider_registry.json: {len(entries)} providers -> {OUT_JSON.relative_to(ROOT)}")
-    return 0
-
-
-if __name__ == "__main__":
-    sys.exit(main())
diff --git a/scripts/gen_responses_convert.py b/scripts/gen_responses_convert.py
deleted file mode 100644
index 794a4391..00000000
--- a/scripts/gen_responses_convert.py
+++ /dev/null
@@ -1,270 +0,0 @@
-#!/usr/bin/env python3
-"""Generate `openai/responses/responses_convert.rs` (RFC-0012 §3.5 shared framework).
-
-This was a ONE-TIME extraction script: it copied the byte-identical
-non-streaming parser and streaming SSE reducer out of a pre-extraction
-`openai/responses/mod.rs` (which Azure duplicated verbatim) into the shared
-module. That extraction has been applied and the bodies no longer exist in
-`mod.rs` — `responses_convert.rs` is now the hand-maintained source of truth
-(it has since gained `status`/`raw_body` parameters for §2.2 in-band 2xx error
-classification, which no pre-extraction source ever contained).
-
-Re-running therefore fails with a clear error unless you point it at a
-pre-extraction source tree via AIMUX_SRC_ROOT or argv[1]. Identifier rewrites
-applied to the verbatim bodies:
-  - `convert::parse_usage`     -> `parse_usage`     (imported here)
-  - `provider_key_stream`      -> `provider_key`    (the param)
-  - `request_result.warnings`  -> `request_warnings` (the param)
-"""
-
-import os
-import sys
-from pathlib import Path
-
-# Repo root: overridable for a historical/pre-extraction checkout; defaults to
-# the repo containing this script.
-REPO = Path(os.environ.get("AIMUX_SRC_ROOT", sys.argv[1] if len(sys.argv) > 1 else Path(__file__).resolve().parents[1]))
-SRC = REPO / "aimux-providers/src/openai/responses/mod.rs"
-OUT = REPO / "aimux-providers/src/openai/responses/responses_convert.rs"
-
-if not SRC.is_file():
-    sys.exit(f"error: source file not found: {SRC}")
-
-lines = SRC.read_text(encoding="utf-8").splitlines(keepends=True)
-
-
-def find(marker: str, after: int = 0) -> int:
-    """Return the 1-indexed line number of the first line whose stripped
-    content equals `marker`, searching from line `after` (1-indexed) onward.
-    """
-    for i in range(after, len(lines)):
-        if lines[i].strip() == marker:
-            return i + 1
-    sys.exit(
-        f"error: extraction marker not found in {SRC}: {marker!r}\n"
-        "The RFC-0012 §3.5 extraction has already been applied — mod.rs no\n"
-        "longer contains the parser/reducer bodies, and the checked-in\n"
-        "responses_convert.rs is hand-maintained (it now threads the observed\n"
-        "HTTP status and raw body, which the pre-extraction source lacked).\n"
-        "Edit responses_convert.rs directly; only re-run this script against a\n"
-        "pre-extraction checkout (AIMUX_SRC_ROOT=<path> or argv[1])."
-    )
-
-
-# do_generate core: from the "Top-level error field" comment through the `})`
-# that closes `Ok(GenerateResult { ... })`.
-gen_start = find("// Top-level error field.")
-ok_line = find("Ok(GenerateResult {", after=gen_start)
-gen_close = find("})", after=ok_line)
-generate_body = "".join(lines[gen_start - 1 : gen_close])
-
-# do_stream reducer: the interior of `async_stream::stream! { ... }`, i.e. from
-# the line after the `stream! {` opener up to (excluding) the `};` closer. The
-# closer is the `};` that immediately precedes `Ok(StreamResult {` — scanning
-# backward from that return avoids matching inner `match { };` closers.
-stream_open = find("let stream = async_stream::stream! {")
-ok_stream = find("Ok(StreamResult {", after=stream_open)
-sc = ok_stream - 1
-while sc > stream_open and lines[sc - 1].strip() != "};":
-    sc -= 1
-stream_close = sc
-stream_body = "".join(lines[stream_open : stream_close - 1])
-
-# Rewrite identifiers so the verbatim bodies resolve inside the shared module.
-generate_body = generate_body.replace("convert::parse_usage", "parse_usage")
-generate_body = generate_body.replace("request_result.warnings", "request_warnings")
-stream_body = stream_body.replace("convert::parse_usage", "parse_usage")
-stream_body = stream_body.replace("provider_key_stream", "provider_key")
-
-
-def reindent(block: str, from_n: int, to_n: int) -> str:
-    """Strip `from_n` leading spaces and prepend `to_n` (net shift to_n-from_n)."""
-    out = []
-    for line in block.splitlines(keepends=True):
-        if line.strip() == "":
-            out.append("\n")
-            continue
-        if line.startswith(" " * from_n):
-            out.append(" " * to_n + line[from_n:])
-        else:
-            out.append(line)
-    return "".join(out)
-
-
-HEADER = """//! Shared Responses API framework (RFC-0012 §3.5).
-//!
-//! Vendors whose Responses implementations speak the OpenAI wire format
-//! (currently OpenAI and Azure OpenAI) share this module for the parts that are
-//! byte-identical across them:
-//! - non-streaming output parsing — [`build_responses_generate_result`],
-//! - the streaming SSE event reducer — [`build_responses_event_stream`],
-//! - common HTTP header list construction — [`build_header_list`].
-//!
-//! Vendors with genuinely different protocols (xAI, HuggingFace, the generic
-//! `open_responses` provider) keep their own request/streaming logic and reuse
-//! only the small shared helpers where they are byte-identical. Per the RFC,
-//! genuinely different streaming loops are **not** force-merged into one
-//! function — only the shared framework is extracted.
-
-use std::collections::HashMap;
-use std::pin::Pin;
-
-use futures::{Stream, StreamExt};
-use serde_json::{Value, json};
-
-use aimux_core::error::AiMuxError;
-use aimux_core::error::ApiCallError;
-use aimux_core::result::{GenerateContent, GenerateResult};
-use aimux_core::stream_part::StreamPart;
-use aimux_core::types::{FinishReason, FinishReasonUnified, ResponseMetadata, Usage, Warning};
-use aimux_stream::{SseError, SseEvent};
-
-use super::convert::{convert_responses_usage, map_responses_finish_reason, parse_usage};
-use super::types::ResponsesUsage;
-
-/// Pinned, boxed stream of model stream parts.
-///
-/// Matches the `stream` field of [`aimux_core::result::StreamResult`]. Used as
-/// the return type of the shared streaming reducer so the boxed trait object
-/// does not leak a complex type into call sites.
-pub type ResponsesEventStream = Pin<Box<dyn Stream<Item = Result<StreamPart, AiMuxError>> + Send>>;
-
-/// Build the `Vec<(String, String)>` header list for an `HttpRequest`, appending
-/// `Content-Type: application/json`.
-///
-/// Byte-identical copies previously lived in the OpenAI, HuggingFace and xAI
-/// responses modules; they now route through this single implementation.
-pub fn build_header_list(headers: &HashMap<String, String>) -> Vec<(String, String)> {
-    let mut list: Vec<(String, String)> =
-        headers.iter().map(|(k, v)| (k.clone(), v.clone())).collect();
-    list.push(("Content-Type".to_string(), "application/json".to_string()));
-    list
-}
-
-// -- Non-streaming output parsing --------------------------------------------
-
-/// Parse a non-streaming Responses API JSON body into a [`GenerateResult`].
-///
-/// Shared verbatim by the OpenAI and Azure providers: both speak the same
-/// Responses wire format for non-streaming output (top-level error, `output`
-/// array of `message`/`function_call`/`custom_tool_call`/`reasoning` items,
-/// `incomplete_details`, `usage`, provider metadata with `responseId` /
-/// `reasoningContext` / `serviceTier`). Vendor callers supply the parsed `data`,
-/// the observed HTTP `status` and full `raw_body` (evidence for in-band 2xx
-/// errors), the request `body`/`response_headers` to attach, and the
-/// provider-metadata namespace `provider_key` ("openai" / "azure").
-pub fn build_responses_generate_result(
-    data: &Value,
-    status: u16,
-    raw_body: &str,
-    request_warnings: Vec<Warning>,
-    provider_key: String,
-    body: Value,
-    response_headers: HashMap<String, String>,
-) -> Result<GenerateResult, AiMuxError> {
-"""
-
-generate_body_i = reindent(generate_body, 8, 4)
-FOOTER_GENERATE = "}\n\n"
-
-STREAM_HEADER = """// -- Streaming SSE event reducer ---------------------------------------------
-
-/// A tool call being streamed (tracked by `output_index`).
-#[allow(dead_code)]
-struct OngoingToolCall {
-    tool_name: String,
-    tool_call_id: String,
-}
-
-/// A reasoning item being streamed (tracked by `item_id`).
-struct ReasoningState {
-    encrypted_content: Option<String>,
-    /// summary_index → status.
-    summary_parts: HashMap<usize, SummaryStatus>,
-}
-
-#[derive(Debug, Clone, Copy, PartialEq)]
-enum SummaryStatus {
-    Active,
-    CanConclude,
-    Concluded,
-}
-
-/// Build the streaming event reducer shared by the OpenAI and Azure providers.
-///
-/// Both speak the same Responses streaming wire format (the
-/// `response.created -> output_item.added -> output_text.delta ->
-/// output_item.done -> response.completed` main path, plus
-/// `function_call_arguments.delta`, `custom_tool_call_input.delta`,
-/// `reasoning_summary_part.added/done` and `reasoning_summary_text.delta`).
-///
-/// The caller performs the HTTP send (`send_stream`) and hands the observed
-/// HTTP `status` plus the peeked `first_event` and remainder `sse_stream` to
-/// this reducer; an early `error` / `response.failed` surfaces as a clean
-/// `Err` here.
-pub fn build_responses_event_stream<S>(
-    first_event: Option<Result<SseEvent, SseError>>,
-    sse_stream: S,
-    status: u16,
-    provider_key: String,
-    warnings: Vec<Warning>,
-    store_flag: bool,
-) -> Result<ResponsesEventStream, AiMuxError>
-where
-    S: Stream<Item = Result<SseEvent, SseError>> + Unpin + Send + 'static,
-{
-    // Peek at the first SSE event to detect early errors (before any output).
-    if let Some(Ok(ref event)) = first_event
-        && let Ok(val) = serde_json::from_str::<Value>(&event.data)
-    {
-        let etype = val.get("type").and_then(|v| v.as_str()).unwrap_or("");
-        if etype == "error" || etype == "response.failed" {
-            let message = val
-                .get("response")
-                .and_then(|r| r.get("error"))
-                .and_then(|e| e.get("message"))
-                .and_then(|v| v.as_str())
-                .or_else(|| {
-                    val.get("error")
-                        .and_then(|e| e.get("message"))
-                        .and_then(|v| v.as_str())
-                })
-                .unwrap_or("Responses API stream error");
-            return Err(AiMuxError::ApiCall(ApiCallError {
-                // Mid-stream provider failure arrives on a successful HTTP
-                // response: keep the observed 2xx status (§2.2).
-                status_code: Some(status),
-                provider_code: val
-                    .get("response")
-                    .and_then(|r| r.get("error"))
-                    .or_else(|| val.get("error"))
-                    .and_then(|e| e.get("type").or_else(|| e.get("code")))
-                    .and_then(|v| v.as_str())
-                    .map(|s| s.to_string()),
-                message: message.to_string(),
-                response_body: Some(event.data.clone()),
-                ..Default::default()
-            }));
-        }
-    }
-
-    let stream = async_stream::stream! {
-"""
-
-stream_body_i = reindent(stream_body, 12, 8)
-STREAM_FOOTER = """    };
-    Ok(Box::pin(stream))
-}
-"""
-
-content = (
-    HEADER
-    + generate_body_i
-    + FOOTER_GENERATE
-    + STREAM_HEADER
-    + stream_body_i
-    + STREAM_FOOTER
-)
-
-OUT.write_text(content, encoding="utf-8")
-print(f"wrote {OUT} ({len(content.splitlines())} lines)")
diff --git a/scripts/gen_vertex_maas_providers.py b/scripts/gen_vertex_maas_providers.py
deleted file mode 100644
index 7bc982a5..00000000
--- a/scripts/gen_vertex_maas_providers.py
+++ /dev/null
@@ -1,339 +0,0 @@
-#!/usr/bin/env python3
-"""Generate the 10 vertex_ai_*_models providers.
-
-Each provider is a thin OpenAI-compatible wrapper over `OpenAIProvider` that
-points at the Vertex AI MaaS OpenAPI endpoint and authenticates with a Google
-Cloud Bearer token. This script writes the 10 `.rs` files and patches
-`lib.rs` (module + re-export registration) and the shared
-`openai_compatible_test.rs` (imports + macro invocations).
-
-Re-runnable: the `.rs` files are overwritten and the lib/test patches are
-applied idempotently (anchored string replacement that asserts a single match).
-"""
-
-from pathlib import Path
-
-ROOT = Path(__file__).resolve().parent.parent
-SRC = ROOT / "aimux-providers" / "src"
-LIB = SRC / "lib.rs"
-TEST = ROOT / "aimux-providers" / "tests" / "openai_compatible_test.rs"
-
-BOM = "\ufeff"
-
-# Ordered alphabetically by Pascal name (ai21 < anthropic < ... < zai), which
-# also matches module-name order so rustfmt's reorder_modules/imports is a no-op.
-PROVIDERS = [
-    {
-        "canonical": "vertex_ai_ai21_models",
-        "pascal": "VertexAiAi21Models",
-        "vendor": "AI21",
-        "models": ["ai21/jamba-1.5-large", "ai21/jamba-1.5-mini"],
-        "test_model": "ai21/jamba-1.5-large",
-    },
-    {
-        "canonical": "vertex_ai_anthropic_models",
-        "pascal": "VertexAiAnthropicModels",
-        "vendor": "Anthropic Claude",
-        "models": ["anthropic/claude-sonnet-4", "anthropic/claude-opus-4"],
-        "test_model": "anthropic/claude-sonnet-4",
-    },
-    {
-        "canonical": "vertex_ai_deepseek_models",
-        "pascal": "VertexAiDeepseekModels",
-        "vendor": "DeepSeek",
-        "models": [
-            "deepseek-ai/deepseek-v3.1-maas",
-            "deepseek-ai/deepseek-r1-0528-maas",
-        ],
-        "test_model": "deepseek-ai/deepseek-v3.1-maas",
-    },
-    {
-        "canonical": "vertex_ai_llama_models",
-        "pascal": "VertexAiLlamaModels",
-        "vendor": "Meta Llama",
-        "models": [
-            "meta/llama-4-scout-17b-16e-instruct-maas",
-            "meta/llama-4-maverick-17b-128e-instruct-maas",
-        ],
-        "test_model": "meta/llama-4-scout-17b-16e-instruct-maas",
-    },
-    {
-        "canonical": "vertex_ai_minimax_models",
-        "pascal": "VertexAiMinimaxModels",
-        "vendor": "MiniMax",
-        "models": ["minimax/minimax-m2-maas"],
-        "test_model": "minimax/minimax-m2-maas",
-    },
-    {
-        "canonical": "vertex_ai_mistral_models",
-        "pascal": "VertexAiMistralModels",
-        "vendor": "Mistral",
-        "models": ["mistralai/mistral-large-2411", "mistralai/codestral-2501"],
-        "test_model": "mistralai/mistral-large-2411",
-    },
-    {
-        "canonical": "vertex_ai_moonshot_models",
-        "pascal": "VertexAiMoonshotModels",
-        "vendor": "Moonshot AI",
-        "models": ["moonshotai/kimi-k2-thinking-maas"],
-        "test_model": "moonshotai/kimi-k2-thinking-maas",
-    },
-    {
-        "canonical": "vertex_ai_openai_models",
-        "pascal": "VertexAiOpenaiModels",
-        "vendor": "OpenAI",
-        "models": ["openai/gpt-oss-120b-maas", "openai/gpt-oss-20b-maas"],
-        "test_model": "openai/gpt-oss-120b-maas",
-    },
-    {
-        "canonical": "vertex_ai_qwen_models",
-        "pascal": "VertexAiQwenModels",
-        "vendor": "Qwen",
-        "models": [
-            "qwen/qwen3-coder-480b-a35b-instruct-maas",
-            "qwen/qwen3-next-80b-a3b-instruct-maas",
-        ],
-        "test_model": "qwen/qwen3-coder-480b-a35b-instruct-maas",
-    },
-    {
-        "canonical": "vertex_ai_zai_models",
-        "pascal": "VertexAiZaiModels",
-        "vendor": "Z.AI",
-        "models": ["zai-org/glm-4.7-maas", "zai-org/glm-5-maas"],
-        "test_model": "zai-org/glm-4.7-maas",
-    },
-]
-
-FILE_TEMPLATE = BOM + r'''//! {Vendor} models on Vertex AI MaaS — a thin OpenAI-compatible wrapper.
-//!
-//! Vertex AI serves partner and open models (Anthropic, AI21, DeepSeek, Llama,
-//! MiniMax, Mistral, Moonshot, OpenAI, Qwen, Z.AI) through an OpenAI-compatible
-//! Chat Completions endpoint — the "Model as a Service" (MaaS) OpenAPI surface
-//! — rather than the native `rawPredict` path:
-//!
-//! `https://{host}/v1/projects/{project}/locations/{location}/endpoints/openapi`
-//!
-//! The host is derived from the location: `global` uses
-//! `aiplatform.googleapis.com`, `eu`/`us` use `aiplatform.{loc}.rep.googleapis.com`,
-//! and any other location uses `{loc}-aiplatform.googleapis.com`. Authentication
-//! uses a Google Cloud OAuth2 Bearer token (the same `GOOGLE_VERTEX_ACCESS_TOKEN`
-//! used by the native Vertex provider), sent as `Authorization: Bearer <token>`.
-//!
-//! Because the endpoint is OpenAI-compatible, this provider is a thin wrapper
-//! over [`OpenAIProvider`](crate::openai::OpenAIProvider): only the base URL,
-//! the Bearer-token env var, and the provider name differ. The shared
-//! `OpenAIProvider` appends `/chat/completions` to the configured base URL.
-//! Sample model ids: {models_doc}.
-
-use aimux_core::error::AiMuxError;
-use aimux_core::language_model::LanguageModel;
-use aimux_core::provider::Provider;
-
-use crate::openai::{OpenAICompatProfile, OpenAIConfig, OpenAIModel, OpenAIProvider};
-
-const PROVIDER_NAME: &str = "{canonical}";
-const TOKEN_ENV_VAR: &str = "GOOGLE_VERTEX_ACCESS_TOKEN";
-const PROJECT_ENV_VAR: &str = "GOOGLE_VERTEX_PROJECT";
-const LOCATION_ENV_VAR: &str = "GOOGLE_VERTEX_LOCATION";
-const DEFAULT_LOCATION: &str = "global";
-/// Fallback project when `GOOGLE_VERTEX_PROJECT` is unset and no base URL is
-/// supplied via [`{Pascal}Config::with_base_url`]; prefer
-/// [`{Pascal}Config::from_env`] or set the project explicitly for real usage.
-const DEFAULT_PROJECT: &str = "your-project";
-
-/// Build the Vertex AI MaaS OpenAI-compatible base URL for a project/location.
-///
-/// - `global` → `https://aiplatform.googleapis.com/v1/projects/{p}/locations/global/endpoints/openapi`
-/// - `eu`/`us` → `https://aiplatform.{loc}.rep.googleapis.com/v1/projects/{p}/locations/{loc}/endpoints/openapi`
-/// - other → `https://{loc}-aiplatform.googleapis.com/v1/projects/{p}/locations/{loc}/endpoints/openapi`
-fn build_maas_base_url(project: &str, location: &str) -> String {
-    let host = match location {
-        "global" => "aiplatform.googleapis.com".to_string(),
-        "eu" | "us" => format!("aiplatform.{}.rep.googleapis.com", location),
-        _ => format!("{}-aiplatform.googleapis.com", location),
-    };
-    format!(
-        "https://{}/v1/projects/{}/locations/{}/endpoints/openapi",
-        host, project, location
-    )
-}
-
-/// Assemble the shared [`OpenAIConfig`] for the given token + project/location.
-fn build_config(api_key: String, project: &str, location: &str) -> OpenAIConfig {
-    OpenAIConfig::new(api_key)
-        .with_base_url(build_maas_base_url(project, location))
-        .with_provider(PROVIDER_NAME)
-        .with_profile(OpenAICompatProfile::full())
-}
-
-/// Configuration for the {Vendor} Vertex AI MaaS provider (wraps [`OpenAIConfig`]).
-pub struct {Pascal}Config(OpenAIConfig);
-
-impl {Pascal}Config {
-    /// Create from a Google Cloud Bearer access token, constructing the base
-    /// URL from `GOOGLE_VERTEX_PROJECT` / `GOOGLE_VERTEX_LOCATION` (with
-    /// `global` / `your-project` fallbacks). Override the URL with
-    /// [`Self::with_base_url`] for tests or proxies.
-    pub fn new(api_key: impl Into<String>) -> Self {
-        let project =
-            std::env::var(PROJECT_ENV_VAR).unwrap_or_else(|_| DEFAULT_PROJECT.to_string());
-        let location =
-            std::env::var(LOCATION_ENV_VAR).unwrap_or_else(|_| DEFAULT_LOCATION.to_string());
-        Self(build_config(api_key.into(), &project, &location))
-    }
-
-    /// Create from `GOOGLE_VERTEX_ACCESS_TOKEN` + `GOOGLE_VERTEX_PROJECT` +
-    /// `GOOGLE_VERTEX_LOCATION` (location defaults to `global`).
-    pub fn from_env() -> Result<Self, AiMuxError> {
-        let token = std::env::var(TOKEN_ENV_VAR).map_err(|_| {
-            AiMuxError::InvalidArgument(
-                "GOOGLE_VERTEX_ACCESS_TOKEN environment variable is required for Vertex AI MaaS"
-                    .to_string(),
-            )
-        })?;
-        let project = std::env::var(PROJECT_ENV_VAR).map_err(|_| {
-            AiMuxError::InvalidArgument(
-                "GOOGLE_VERTEX_PROJECT environment variable is required for Vertex AI MaaS"
-                    .to_string(),
-            )
-        })?;
-        let location =
-            std::env::var(LOCATION_ENV_VAR).unwrap_or_else(|_| DEFAULT_LOCATION.to_string());
-        Ok(Self(build_config(token, &project, &location)))
-    }
-
-    /// Override the base URL (useful for tests / proxies).
-    pub fn with_base_url(mut self, url: impl Into<String>) -> Self {
-        self.0 = self.0.with_base_url(url);
-        self
-    }
-}
-
-/// {Vendor} Vertex AI MaaS provider — creates [`OpenAIModel`] instances pointed
-/// at the Vertex AI MaaS OpenAPI endpoint.
-pub struct {Pascal}Provider(OpenAIProvider);
-
-impl {Pascal}Provider {
-    pub fn new(config: {Pascal}Config) -> Self {
-        Self(OpenAIProvider::new(config.0))
-    }
-
-    /// Create a model instance for the given Vertex AI MaaS model id
-    /// (e.g. `"{sample_model}"`).
-    pub fn model(&self, model_id: &str) -> OpenAIModel {
-        self.0.model(model_id)
-    }
-}
-
-impl Provider for {Pascal}Provider {
-    fn name(&self) -> &str {
-        PROVIDER_NAME
-    }
-
-    fn language_model(&self, model_id: &str) -> Result<Box<dyn LanguageModel>, AiMuxError> {
-        Ok(Box::new(self.model(model_id)))
-    }
-}
-'''
-
-
-def models_doc(models):
-    quoted = ", ".join("`\"{}\"`".format(m) for m in models)
-    return quoted
-
-
-def render_file(p):
-    return (
-        FILE_TEMPLATE
-        .replace("{Vendor}", p["vendor"])
-        .replace("{canonical}", p["canonical"])
-        .replace("{Pascal}", p["pascal"])
-        .replace("{models_doc}", models_doc(p["models"]))
-        .replace("{sample_model}", p["test_model"])
-    )
-
-
-def write_providers():
-    for p in PROVIDERS:
-        path = SRC / (p["canonical"] + ".rs")
-        path.write_text(render_file(p), encoding="utf-8")
-        print("wrote", path.relative_to(ROOT))
-
-
-def patch_lib():
-    mods = "\n".join("pub mod {};".format(p["canonical"]) for p in PROVIDERS)
-    uses = "\n".join(
-        "pub use {}::{{{name}Config, {name}Provider}};".format(
-            p["canonical"], name=p["pascal"]
-        )
-        for p in PROVIDERS
-    )
-    block = (
-        "// Vertex AI MaaS partner-model providers (OpenAI-compatible thin wrappers).\n"
-        "// Each wraps the shared OpenAIProvider against the Vertex AI MaaS OpenAPI\n"
-        "// endpoint, authenticating with a Google Cloud Bearer token.\n"
-        + mods
-        + "\n\n"
-        + uses
-        + "\n\n"
-    )
-    anchor = "// Search-only providers (web search modality)."
-    text = LIB.read_text(encoding="utf-8")
-    count = text.count(anchor)
-    if count == 0:
-        raise SystemExit("lib.rs anchor not found: " + anchor)
-    if "// Vertex AI MaaS partner-model providers" in text:
-        raise SystemExit("lib.rs already patched with Vertex AI MaaS block")
-    text = text.replace(anchor, block + anchor, 1)
-    LIB.write_text(text, encoding="utf-8")
-    print("patched", LIB.relative_to(ROOT))
-
-
-def patch_test():
-    text = TEST.read_text(encoding="utf-8")
-    # 1. imports: insert the 20 names between VercelProvider and XAIConfig.
-    names = []
-    for p in PROVIDERS:
-        names.append("{p}Config".format(p=p["pascal"]))
-        names.append("{p}Provider".format(p=p["pascal"]))
-    names_str = ", ".join(names)
-    imp_anchor = "VercelConfig, VercelProvider, XAIConfig,"
-    if text.count(imp_anchor) != 1:
-        raise SystemExit(
-            "test import anchor count != 1: {!r}".format(imp_anchor)
-        )
-    if "VertexAiAi21ModelsConfig" in text:
-        raise SystemExit("test file already patched with Vertex AI MaaS imports")
-    text = text.replace(
-        imp_anchor,
-        "VercelConfig, VercelProvider, " + names_str + ", XAIConfig,",
-        1,
-    )
-    # 2. macro invocations: append at end of file.
-    macros = []
-    for p in PROVIDERS:
-        macros.append(
-            "openai_compatible_tests!(\n"
-            "    {mod},\n"
-            "    {pascal}Config,\n"
-            "    {pascal}Provider,\n"
-            "    \"{model}\"\n"
-            ");".format(mod=p["canonical"], pascal=p["pascal"], model=p["test_model"])
-        )
-    suffix = "\n\n// Vertex AI MaaS partner-model providers (OpenAI-compatible thin wrappers).\n"
-    suffix += "\n".join(macros) + "\n"
-    if not text.endswith("\n"):
-        text += "\n"
-    text += suffix
-    TEST.write_text(text, encoding="utf-8")
-    print("patched", TEST.relative_to(ROOT))
-
-
-def main():
-    write_providers()
-    patch_lib()
-    patch_test()
-
-
-if __name__ == "__main__":
-    main()
diff --git a/scripts/generate_all_providers.py b/scripts/generate_all_providers.py
deleted file mode 100644
index 086ca0d5..00000000
--- a/scripts/generate_all_providers.py
+++ /dev/null
@@ -1,391 +0,0 @@
-#!/usr/bin/env python3
-"""Generate thin-wrapper provider .rs files for ALL missing OpenAI-compatible providers.
-
-This is a one-shot bulk generation script. It creates a .rs file per provider,
-updates lib.rs, and prints a summary.
-
-Usage:
-    uv run python scripts/generate_all_providers.py
-"""
-
-import os
-from pathlib import Path
-
-REPO = Path(__file__).resolve().parent.parent
-SRC = REPO / "aimux-providers" / "src"
-
-# ── Already implemented (don't regenerate) ──
-ALREADY_DONE = {
-    "anthropic", "anthropic_aws", "azure", "bedrock", "google", "vertex",
-    "mistral", "cohere", "xai", "deepseek", "openai", "open_responses",
-    # OpenAI-compatible thin wrappers (batch 1)
-    "groq", "fireworks", "togetherai", "perplexity", "moonshotai", "cerebras",
-    "alibaba", "baseten", "bytedance", "deepinfra", "huggingface", "vercel",
-    "openrouter", "copilot", "llamafile", "mistralrs", "doubleword",
-    # Non-text
-    "voyage", "cartesia", "elevenlabs", "hume", "lmnt",
-    "assemblyai", "deepgram", "fal", "gladia", "revai",
-    "black_forest_labs", "luma", "prodia", "replicate", "klingai",
-    # Batch 2 (just added)
-    "ollama", "zai", "github", "siliconflow", "lmstudio", "sambanova",
-}
-
-# ── Provider definitions ──
-# (module_name, struct_prefix, base_url, env_var, is_local, display_name, doc_url)
-# is_local=True: no API key needed, uses ENV_VAR for base URL
-# is_local=False: uses ENV_VAR for API key
-PROVIDERS = [
-    # ── Cloud LLM providers (OpenAI-compatible) ──
-    ("novita", "Novita", "https://api.novita.ai/v1", "NOVITA_API_KEY", False, "Novita AI", "novita.ai"),
-    ("nebius", "Nebius", "https://api.studio.nebius.ai/v1", "NEBIUS_API_KEY", False, "Nebius AI", "nebius.ai"),
-    ("hyperbolic", "Hyperbolic", "https://api.hyperbolic.xyz/v1", "HYPERBOLIC_API_KEY", False, "Hyperbolic", "hyperbolic.xyz"),
-    ("ovhcloud", "Ovhcloud", "https://oai.endpoints.kepler.ai.cloud.ovh.net/v1", "OVHCLOUD_API_KEY", False, "OVHcloud AI", "ovhcloud.com"),
-    ("ai21", "Ai21", "https://api.ai21.ai/v1", "AI21_API_KEY", False, "AI21 Labs", "ai21.com"),
-    ("anyscale", "Anyscale", "https://api.endpoints.anyscale.com/v1", "ANYSCALE_API_KEY", False, "Anyscale", "anyscale.com"),
-    ("predibase", "Predibase", "https://serving.app.predibase.com/v1", "PREDIBASE_API_KEY", False, "Predibase", "predibase.com"),
-    ("databricks", "Databricks", "https://databricks.com/serving-endpoints", "DATABRICKS_API_KEY", False, "Databricks", "databricks.com"),
-    ("scaleway", "Scaleway", "https://api.scaleway.ai/v1", "SCALEWAY_API_KEY", False, "Scaleway AI", "scaleway.com"),
-    ("nlp_cloud", "NlpCloud", "https://api.nlpcloud.io/v1", "NLPCLOUD_API_KEY", False, "NLP Cloud", "nlpcloud.com"),
-    ("friendliai", "FriendliAI", "https://inference.friendli.ai/v1", "FRIENDLIAI_API_KEY", False, "FriendliAI", "friendli.ai"),
-    ("clarifai", "Clarifai", "https://api.clarifai.com/v2/ext/openai/v1", "CLARIFAI_API_KEY", False, "Clarifai", "clarifai.com"),
-    ("gigachat", "GigaChat", "https://gigachat.devices.sberbank.ru/api/v1", "GIGACHAT_API_KEY", False, "GigaChat (Sberbank)", "sberbank.ru"),
-    ("codestral", "Codestral", "https://api.mistral.ai/v1", "CODESTRAL_API_KEY", False, "Codestral (Mistral)", "mistral.ai"),
-    ("morph", "Morph", "https://api.morphllm.com/v1", "MORPH_API_KEY", False, "Morph LLM", "morphllm.com"),
-    ("aiml", "Aiml", "https://api.aimlapi.com/v1", "AIML_API_KEY", False, "AI/ML API", "aimlapi.com"),
-    ("heroku", "Heroku", "https://api.heroku.com/inference/v1", "HEROKU_API_KEY", False, "Heroku AI", "heroku.com"),
-    ("nvidia_nim", "NvidiaNim", "https://integrate.api.nvidia.com/v1", "NVIDIA_API_KEY", False, "NVIDIA NIM", "nvidia.com"),
-    ("nscale", "Nscale", "https://inference.api.nscale.com/v1", "NSCALE_API_KEY", False, "Nscale", "nscale.com"),
-    ("lambda_ai", "LambdaAi", "https://api.lambda.ai/v1", "LAMBDA_API_KEY", False, "Lambda AI", "lambda.ai"),
-    ("inception", "Inception", "https://api.inceptionlabs.ai/v1", "INCEPTION_API_KEY", False, "Inception Labs", "inceptionlabs.ai"),
-    ("galadriel", "Galadriel", "https://api.galadriel.com/v1", "GALADRIEL_API_KEY", False, "Galadriel", "galadriel.com"),
-    ("datarobot", "Datarobot", "https://app.datarobot.com/api/v2", "DATAROBOT_API_TOKEN", False, "DataRobot", "datarobot.com"),
-    ("featherless_ai", "FeatherlessAi", "https://api.featherless.ai/v1", "FEATHERLESS_API_KEY", False, "Featherless AI", "featherless.ai"),
-    ("cometapi", "Cometapi", "https://api.cometapi.com/v1", "COMETAPI_API_KEY", False, "CometAPI", "cometapi.com"),
-    ("reka_ai", "RekaAi", "https://api.reka.ai/v1", "REKA_API_KEY", False, "Reka AI", "reka.ai"),
-    ("sarvam", "Sarvam", "https://api.sarvam.ai/v1", "SARVAM_API_KEY", False, "Sarvam AI", "sarvam.ai"),
-    ("meta_llama", "MetaLlama", "https://api.llama.com/compat/v1", "LLAMA_API_KEY", False, "Meta Llama API", "llama.com"),
-    ("apiserpent", "Apiserpent", "https://api.apiserpent.com/v1", "APISERPENT_API_KEY", False, "API Serpent", "apiserpent.com"),
-    ("modelscope", "Modelscope", "https://api-inference.modelscope.cn/v1", "MODELSCOPE_API_KEY", False, "ModelScope", "modelscope.cn"),
-    ("litellm_proxy", "LitellmProxy", "http://127.0.0.1:4000/v1", "LITELLM_PROXY_API_KEY", True, "LiteLLM Proxy", "litellm.ai"),
-    ("compactifai", "Compactifai", "https://api.compactif.ai/v1", "COMPACTIFAI_API_KEY", False, "CompactifAI", "compactif.ai"),
-    ("gradient_ai", "GradientAi", "https://inference.do-ai.run/v1", "GRADIENT_API_KEY", False, "Gradient AI", "do-ai.run"),
-    ("azure_ai", "AzureAi", "https://models.inference.ai.azure.com", "AZURE_AI_API_KEY", False, "Azure AI", "azure.com"),
-    ("doubaoaudio", "DoubaoAudio", "https://ark.cn-beijing.volces.com/api/v3", "ARK_API_KEY", False, "Doubao Audio", "volces.com"),
-
-    # ── 国产厂商 (OpenAI-compatible) ──
-    ("baidu", "Baidu", "https://qianfan.baidubce.com/v2", "BAIDU_API_KEY", False, "Baidu (文心/ERNIE)", "baidubce.com"),
-    ("tencent", "Tencent", "https://api.hunyuan.cloud.tencent.com/v1", "TENCENT_API_KEY", False, "Tencent (混元/Hunyuan)", "tencent.com"),
-    ("baichuan", "Baichuan", "https://api.baichuan-ai.com/v1", "BAICHUAN_API_KEY", False, "Baichuan AI", "baichuan-ai.com"),
-    ("stepfun", "Stepfun", "https://api.stepfun.com/v1", "STEPFUN_API_KEY", False, "StepFun (阶跃星辰)", "stepfun.com"),
-    ("minimax", "Minimax", "https://api.minimax.io/v1", "MINIMAX_API_KEY", False, "MiniMax", "minimax.io"),
-    ("lingyiwanwu", "Lingyiwanwu", "https://api.lingyiwanwu.com/v1", "LINGYIWANWU_API_KEY", False, "Lingyiwanwu (零一万物)", "lingyiwanwu.com"),
-    ("qihoo360", "Qihoo360", "https://api.360.cn/v1", "AI360_API_KEY", False, "360 AI", "360.cn"),
-    ("coze", "Coze", "https://api.coze.cn/v1", "COZE_API_KEY", False, "Coze (扣子)", "coze.cn"),
-    ("qiniu_ai", "QiniuAi", "https://api.qiniu.com/v1", "QINIU_API_KEY", False, "Qiniu AI", "qiniu.com"),
-    ("longcat", "Longcat", "https://api.longcat.chat/v1", "LONGCAT_API_KEY", False, "LongCat", "longcat.chat"),
-    ("bigmodel", "Bigmodel", "https://open.bigmodel.cn/api/paas/v4", "BIGMODEL_API_KEY", False, "BigModel (智谱)", "bigmodel.cn"),
-    ("aihubmix", "Aihubmix", "https://aihubmix.com/v1", "AIHUBMIX_API_KEY", False, "AIHubMix", "aihubmix.com"),
-    ("mira", "Mira", "https://api.mira.so/v1", "MIRA_API_KEY", False, "Mira", "mira.so"),
-    ("xiaomimimo", "Xiaomimimo", "https://mimo.xiaomi.com/v1", "XIAOMI_API_KEY", False, "Xiaomi MiMo", "xiaomi.com"),
-    ("byteplus", "Byteplus", "https://ark.bytepluses.com/api/v3", "BYTEPLUS_API_KEY", False, "BytePlus (Volcano)", "bytepluses.com"),
-    ("perfxcloud", "Perfxcloud", "https://api.perfxcloud.com/v1", "PERFXCLOUD_API_KEY", False, "PerfXCloud", "perfxcloud.com"),
-
-    # ── 本地推理 (OpenAI-compatible endpoints) ──
-    ("llamacpp", "Llamacpp", "http://127.0.0.1:8080/v1", "LLAMACPP_BASE_URL", True, "llama.cpp", "github.com/ggerganov/llama.cpp"),
-    ("vllm", "Vllm", "http://127.0.0.1:8000/v1", "VLLM_BASE_URL", True, "vLLM", "vllm.ai"),
-    ("sglang", "Sglang", "http://127.0.0.1:30000/v1", "SGLANG_BASE_URL", True, "SGLang", "github.com/sgl-project/sglang"),
-    ("xinference", "Xinference", "http://127.0.0.1:9997/v1", "XINFERENCE_BASE_URL", True, "Xinference", "inference.ai"),
-    ("localai", "Localai", "http://127.0.0.1:8080/v1", "LOCALAI_BASE_URL", True, "LocalAI", "localai.io"),
-    ("jlama", "Jlama", "http://127.0.0.1:8080/v1", "JLAMA_BASE_URL", True, "Jlama", "github.com/tjake/Jlama"),
-    ("ollama_cloud", "OllamaCloud", "https://api.ollama.com/v1", "OLLAMA_CLOUD_API_KEY", False, "Ollama Cloud", "ollama.com"),
-    ("docker_model_runner", "DockerModelRunner", "http://model-runner.docker.internal/engines/llama.cpp/v1", "DOCKER_MODEL_RUNNER_BASE_URL", True, "Docker Model Runner", "docker.com"),
-
-    # ── 网关/聚合 ──
-    ("portkey", "Portkey", "https://api.portkey.ai/v1", "PORTKEY_API_KEY", False, "Portkey Gateway", "portkey.ai"),
-    ("helicone", "Helicone", "https://api.helicone.ai/v1", "HELICONE_API_KEY", False, "Helicone", "helicone.ai"),
-    ("requesty", "Requesty", "https://api.requesty.ai/v1", "REQUESTY_API_KEY", False, "Requesty", "requesty.ai"),
-    ("ai302", "Ai302", "https://api.302.ai/v1", "AI302_API_KEY", False, "302.AI", "302.ai"),
-    ("api2d", "Api2d", "https://oa.api2d.net/v1", "API2D_API_KEY", False, "API2D", "api2d.net"),
-    ("ohmygpt", "Ohmygpt", "https://api.ohmygpt.com/v1", "OHMYGPT_API_KEY", False, "OhMyGPT", "ohmygpt.com"),
-    ("closeai", "Closeai", "https://api.closeai-proxy.xyz/v1", "CLOSEAI_API_KEY", False, "CloseAI", "closeai-proxy.xyz"),
-    ("openaisb", "Openaisb", "https://api.openaisb.com/v1", "OPENAISB_API_KEY", False, "OpenAI-SB", "openaisb.com"),
-    ("openaimax", "Openaimax", "https://api.openaimax.com/v1", "OPENAIMAX_API_KEY", False, "OpenAIMax", "openaimax.com"),
-    ("ails", "Ails", "https://api.caipacity.com/v1", "AILS_API_KEY", False, "AILS", "caipacity.com"),
-    ("api2gpt", "Api2gpt", "https://api.api2gpt.com/v1", "API2GPT_API_KEY", False, "API2GPT", "api2gpt.com"),
-    ("aigc2d", "Aigc2d", "https://api.aigc2d.com/v1", "AIGC2D_API_KEY", False, "AIGC2D", "aigc2d.com"),
-    ("fastgpt", "Fastgpt", "https://api.fastgpt.in/v1", "FASTGPT_API_KEY", False, "FastGPT", "fastgpt.in"),
-    ("tokenpony", "Tokenpony", "https://api.tokenpony.com/v1", "TOKENPONY_API_KEY", False, "TokenPony", "tokenpony.com"),
-    ("fastrouter", "Fastrouter", "https://api.fastrouter.ai/v1", "FASTROUTER_API_KEY", False, "FastRouter", "fastrouter.ai"),
-    ("orcarouter", "Orcarouter", "https://api.orcarouter.com/v1", "ORCAROUTER_API_KEY", False, "OrcaRouter", "orcarouter.com"),
-    ("submodel", "Submodel", "https://api.submodel.com/v1", "SUBMODEL_API_KEY", False, "SubModel", "submodel.com"),
-
-    # ── 其他云厂商 ──
-    ("kluster_ai", "KlusterAi", "https://api.kluster.ai/v1", "KLUSTER_API_KEY", False, "Kluster AI", "kluster.ai"),
-    ("krutrim", "Krutrim", "https://api.krutrim.ai/v1", "KRUTRIM_API_KEY", False, "Krutrim", "krutrim.ai"),
-    ("bytez", "Bytez", "https://api.bytez.com/v2", "BYTEZ_API_KEY", False, "Bytez", "bytez.com"),
-    ("upstage", "Upstage", "https://api.upstage.ai/v1", "UPSTAGE_API_KEY", False, "Upstage", "upstage.ai"),
-    ("deepbricks", "Deepbricks", "https://api.deepbricks.ai/v1", "DEEPBRICKS_API_KEY", False, "DeepBricks", "deepbricks.ai"),
-    ("lemonfox_ai", "LemonfoxAi", "https://api.lemonfox.ai/v1", "LEMONFOX_API_KEY", False, "Lemonfox AI", "lemonfox.ai"),
-    ("modal", "Modal", "https://modal.com/v1", "MODAL_API_KEY", False, "Modal", "modal.com"),
-    ("sakana", "Sakana", "https://api.sakana.ai/v1", "SAKANA_API_KEY", False, "Sakana AI", "sakana.ai"),
-    ("nous_research", "NousResearch", "https://api.nousresearch.com/v1", "NOUS_API_KEY", False, "Nous Research", "nousresearch.com"),
-    ("bedrock_mantle", "BedrockMantle", "https://bedrock-runtime.us-east-1.amazonaws.com", "AWS_BEDROCK_API_KEY", False, "Bedrock Mantle", "aws.amazon.com"),
-    ("watsonx", "Watsonx", "https://us-south.ml.cloud.ibm.com/v1", "WATSONX_API_KEY", False, "IBM watsonx", "ibm.com"),
-    ("sagemaker", "Sagemaker", "https://runtime.sagemaker.us-east-1.amazonaws.com", "SAGEMAKER_API_KEY", False, "AWS SageMaker", "aws.amazon.com"),
-    ("sap", "Sap", "https://api.ai.sap.eu10.hana.ondemand.com/v2", "SAP_AI_API_KEY", False, "SAP AI Core", "sap.com"),
-    ("oci", "Oci", "https://inference.generativeai.us-chicago-1.oci.oraclecloud.com", "OCI_API_KEY", False, "Oracle OCI AI", "oracle.com"),
-    ("snowflake", "Snowflake", "https://xxx.snowflakecomputing.com/api/v2/cortex", "SNOWFLAKE_API_KEY", False, "Snowflake Cortex", "snowflake.com"),
-    ("infinity", "Infinity", "https://infinity.ai/api/v1", "INFINITY_API_KEY", False, "Infinity AI", "infinity.ai"),
-    ("hosted_vllm", "HostedVllm", "https://hosted-vllm-api.com/v1", "HOSTED_VLLM_API_KEY", False, "Hosted vLLM", "vllm.ai"),
-    ("petals", "Petals", "https://api.petals.dev/v1", "PETALS_API_KEY", False, "Petals", "petals.dev"),
-    ("oobabooba", "Oobabooba", "http://127.0.0.1:5000/v1", "OOBABOOBA_BASE_URL", True, "Oobabooga Text Generation WebUI", "github.com/oobabooga"),
-    ("gdc", "Gdc", "https://api.gdc.ai/v1", "GDC_API_KEY", False, "GDC", "gdc.ai"),
-    ("fastcrw", "Fastcrw", "https://fastcrw.com/api/v1", "FASTCRW_API_KEY", False, "FastCRW", "fastcrw.com"),
-    ("dify", "Dify", "https://api.dify.ai/v1", "DIFY_API_KEY", False, "Dify", "dify.ai"),
-    ("clip", "Clip", "http://127.0.0.1:8080/v1", "CLIP_BASE_URL", True, "CLIP (local)", "openai.com/clip"),
-    ("fastembed", "Fastembed", "http://127.0.0.1:8080/v1", "FASTEMBED_BASE_URL", True, "FastEmbed (local)", "github.com/Anush008/fastembed-rs"),
-    ("tei", "Tei", "http://127.0.0.1:8080/v1", "TEI_BASE_URL", True, "Text Embeddings Inference (local)", "github.com/huggingface/text-embeddings-inference"),
-    ("nomic", "Nomic", "https://api.nomic.ai/v1", "NOMIC_API_KEY", False, "Nomic", "nomic.ai"),
-    ("jina", "Jina", "https://api.jina.ai/v1", "JINA_API_KEY", False, "Jina AI", "jina.ai"),
-    ("mixedbread", "Mixedbread", "https://api.mixedbread.ai/v1", "MIXEDBREAD_API_KEY", False, "Mixedbread", "mixedbread.ai"),
-    ("recraft", "Recraft", "https://external.api.recraft.ai/v1", "RECRAFT_API_KEY", False, "Recraft", "recraft.ai"),
-    ("ideogram", "Ideogram", "https://api.ideogram.ai/v1", "IDEOGRAM_API_KEY", False, "Ideogram", "ideogram.ai"),
-    ("stability_ai", "StabilityAi", "https://api.stability.ai/v1", "STABILITY_API_KEY", False, "Stability AI", "stability.ai"),
-    ("segmind", "Segmind", "https://api.segmind.com/v1", "SEGMIND_API_KEY", False, "Segmind", "segmind.com"),
-    ("runware", "Runware", "https://api.runware.ai/v1", "RUNWARE_API_KEY", False, "Runware", "runware.ai"),
-    ("meshy", "Meshy", "https://api.meshy.ai/v1", "MESHY_API_KEY", False, "Meshy (3D)", "meshy.ai"),
-    ("tripo3d", "Tripo3d", "https://api.tripo3d.ai/v1", "TRIPO3D_API_KEY", False, "Tripo3D", "tripo3d.ai"),
-    ("runwayml", "Runwayml", "https://api.dev.runwayml.com/v1", "RUNWAYML_API_KEY", False, "Runway ML", "runwayml.com"),
-    ("sora", "Sora", "https://api.openai.com/v1", "OPENAI_API_KEY", False, "OpenAI Sora", "openai.com"),
-    ("vidu", "Vidu", "https://api.vidu.com/v1", "VIDU_API_KEY", False, "Vidu", "vidu.com"),
-    ("jimeng", "Jimeng", "https://api.jimeng.jianying.com/v1", "JIMENG_API_KEY", False, "Jimeng (即梦)", "jianying.com"),
-    ("midjourney", "Midjourney", "https://api.midjourney.com/v1", "MIDJOURNEY_API_KEY", False, "Midjourney", "midjourney.com"),
-    ("flux", "Flux", "https://api.fal.ai/v1", "FLUX_API_KEY", False, "FLUX (via fal)", "fal.ai"),
-    ("suno", "Suno", "https://api.suno.com/v1", "SUNO_API_KEY", False, "Suno (音乐)", "suno.com"),
-    ("doubaoaudio", "DoubaoAudio", "https://ark.cn-beijing.volces.com/api/v3", "ARK_API_KEY", False, "Doubao Audio", "volces.com"),
-    ("murf", "Murf", "https://api.murf.ai/v1", "MURF_API_KEY", False, "Murf (TTS)", "murf.ai"),
-    ("playai", "Playai", "https://api.play.ai/v1", "PLAYAI_API_KEY", False, "PlayAI (TTS)", "play.ai"),
-    ("speechify", "Speechify", "https://api.sws.speechify.com/v1", "SPEECHIFY_API_KEY", False, "Speechify (TTS)", "speechify.com"),
-    ("inworld", "Inworld", "https://api.inworld.ai/v1", "INWORLD_API_KEY", False, "Inworld (TTS)", "inworld.ai"),
-    ("aws_polly", "AwsPolly", "https://polly.us-east-1.amazonaws.com", "AWS_POLLY_API_KEY", False, "AWS Polly (TTS)", "aws.amazon.com"),
-    ("nvidia_riva", "NvidiaRiva", "https://api.nvidia.com/v1", "NVIDIA_RIVA_API_KEY", False, "NVIDIA Riva (TTS)", "nvidia.com"),
-    ("soniox", "Soniox", "https://api.soniox.com/v1", "SONIOX_API_KEY", False, "Soniox (STT)", "soniox.com"),
-    ("mokaai", "Mokaai", "https://api.mokaai.com/v1", "MOKAAI_API_KEY", False, "MokaAI", "mokaai.com"),
-    ("skylark", "Skylark", "https://api.skylark.com/v1", "SKYLARK_API_KEY", False, "Skylark (云雀)", "skylark.com"),
-    ("deepl", "Deepl", "https://api.deepl.com/v2", "DEEPL_API_KEY", False, "DeepL", "deepl.com"),
-    ("bing", "Bing", "https://api.bing.microsoft.com/v1", "BING_API_KEY", False, "Bing", "microsoft.com"),
-    ("slack", "Slack", "https://slack.com/api/chat.postMessage", "SLACK_API_KEY", False, "Slack (Claude proxy)", "slack.com"),
-    ("doubaoaudio", "DoubaoAudio", "https://ark.cn-beijing.volces.com/api/v3", "ARK_API_KEY", False, "Doubao Audio", "volces.com"),
-    ("ncompass", "Ncompass", "https://api.ncompass.tech/v1", "NCOMPASS_API_KEY", False, "Ncompass", "ncompass.tech"),
-    ("parasail", "Parasail", "https://api.parasail.io/v1", "PARASAIL_API_KEY", False, "Parasail", "parasail.io"),
-    ("wafer", "Wafer", "https://api.wafer.ai/v1", "WAFER_API_KEY", False, "Wafer", "wafer.ai"),
-    ("matterai", "Matterai", "https://api.matterai.com/v1", "MATTERAI_API_KEY", False, "Matter AI", "matterai.com"),
-    ("nextbit", "Nextbit", "https://api.nextbit.ai/v1", "NEXTBIT_API_KEY", False, "NextBit", "nextbit.ai"),
-    ("aibadgr", "Aibadgr", "https://api.aibadgr.com/v1", "AIBADGR_API_KEY", False, "AI Badgr", "aibadgr.com"),
-    ("inference_net", "InferenceNet", "https://api.inference.net/v1", "INFERENCE_NET_API_KEY", False, "Inference.net", "inference.net"),
-    ("lemonfox_ai", "LemonfoxAi", "https://api.lemonfox.ai/v1", "LEMONFOX_API_KEY", False, "Lemonfox AI", "lemonfox.ai"),
-    ("opencode_go", "OpencodeGo", "https://api.opencode.dev/v1", "OPENCODE_GO_API_KEY", False, "OpenCode Go", "opencode.dev"),
-    ("opencode_zen", "OpencodeZen", "https://api.opencode.zen/v1", "OPENCODE_ZEN_API_KEY", False, "OpenCode Zen", "opencode.zen"),
-    ("kiro", "Kiro", "https://api.kiro.dev/v1", "KIRO_API_KEY", False, "Kiro", "kiro.dev"),
-    ("pioneer", "Pioneer", "https://api.pioneer.ai/v1", "PIONEER_API_KEY", False, "Pioneer", "pioneer.ai"),
-    ("kilo", "Kilo", "https://api.kilo.ai/v1", "KILO_API_KEY", False, "Kilo", "kilo.ai"),
-    ("commandcode", "Commandcode", "https://api.commandcode.com/v1", "COMMANDCODE_API_KEY", False, "CommandCode", "commandcode.com"),
-    ("cline_pass", "ClinePass", "https://api.cline.bot/v1", "CLINE_API_KEY", False, "Cline", "cline.bot"),
-    ("albert", "Albert", "https://api.albert.ai/v1", "ALBERT_API_KEY", False, "Albert", "albert.ai"),
-    ("scx_ai", "ScxAi", "https://api.scx.ai/v1", "SCX_AI_API_KEY", False, "SCX AI", "scx.ai"),
-    ("atlascloud", "Atlascloud", "https://api.atlascloud.com/v1", "ATLASCLOUD_API_KEY", False, "AtlasCloud", "atlascloud.com"),
-    ("canopywave", "Canopywave", "https://api.canopywave.com/v1", "CANOPYWAVE_API_KEY", False, "Canopywave", "canopywave.com"),
-    ("embercloud", "Embercloud", "https://api.embercloud.com/v1", "EMBERCLOUD_API_KEY", False, "Embercloud", "embercloud.com"),
-    ("tundra", "Tundra", "https://api.tundra.ai/v1", "TUNDRA_API_KEY", False, "Tundra", "tundra.ai"),
-    ("reve", "Reve", "https://api.reve.ai/v1", "REVE_API_KEY", False, "Reve", "reve.ai"),
-    ("gonka24", "Gonka24", "https://api.gonka24.com/v1", "GONKA24_API_KEY", False, "Gonka24", "gonka24.com"),
-    ("streamlake", "Streamlake", "https://api.streamlake.com/v1", "STREAMLAKE_API_KEY", False, "StreamLake", "streamlake.com"),
-    ("antling", "Antling", "https://api.antling.com/v1", "ANTLING_API_KEY", False, "Antling", "antling.com"),
-    ("sangforaicp", "Sangforaicp", "https://aicp.sangfor.com/v1", "SANGFOR_AICP_API_KEY", False, "Sangfor AICP", "sangfor.com"),
-    ("doc2x", "Doc2x", "https://api.doc2x.com/v1", "DOC2X_API_KEY", False, "Doc2X", "doc2x.com"),
-    ("v0", "V0", "https://api.v0.dev/v1", "V0_API_KEY", False, "v0 (Vercel)", "v0.dev"),
-    ("text_embeddings_inference", "TextEmbeddingsInference", "http://127.0.0.1:8080", "TEI_BASE_URL", True, "Text Embeddings Inference", "github.com/huggingface/text-embeddings-inference"),
-    ("pg_vector", "PgVector", "http://127.0.0.1:5432", "PG_VECTOR_URL", True, "PostgreSQL pgvector", "github.com/pgvector/pgvector"),
-    ("s3_vectors", "S3Vectors", "https://s3.amazonaws.com", "S3_VECTORS_API_KEY", False, "S3 Vectors", "aws.amazon.com"),
-    ("milvus", "Milvus", "http://127.0.0.1:19530", "MILVUS_URL", True, "Milvus (向量库)", "milvus.io"),
-    ("qdrant", "Qdrant", "http://127.0.0.1:6333", "QDRANT_URL", True, "Qdrant (向量库)", "qdrant.tech"),
-    ("chatgpt", "Chatgpt", "https://chatgpt.com/backend-api/codex", "CHATGPT_API_KEY", False, "ChatGPT (订阅)", "openai.com"),
-    ("nanogpt", "Nanogpt", "https://api.nanogpt.com/v1", "NANOGPT_API_KEY", False, "NanoGPT", "nanogpt.com"),
-    ("local", "Local", "http://127.0.0.1:8080/v1", "LOCAL_LLM_BASE_URL", True, "Local LLM", "localhost"),
-    ("cybertron", "Cybertron", "http://127.0.0.1:8080/v1", "CYBERTRON_BASE_URL", True, "Cybertron (Rust)", "github.com/dottorblaster/cybertron"),
-    ("mlx", "Mlx", "http://127.0.0.1:8080/v1", "MLX_BASE_URL", True, "MLX (Apple Silicon)", "github.com/ml-explore/mlx"),
-    ("openvino", "Openvino", "http://127.0.0.1:8080/v1", "OPENVINO_BASE_URL", True, "OpenVINO", "intel.com/openvino"),
-    ("gaudi", "Gaudi", "http://127.0.0.1:8080/v1", "GAUDI_BASE_URL", True, "Intel Gaudi", "intel.com"),
-    ("onnx", "Onnx", "http://127.0.0.1:8080/v1", "ONNX_BASE_URL", True, "ONNX Runtime", "onnxruntime.ai"),
-    ("omlx", "Omlx", "http://127.0.0.1:8080/v1", "OMLX_BASE_URL", True, "OMLX / MLX LM", "github.com/ml-explore/mlx-lm"),
-    ("doubaoaudio", "DoubaoAudio", "https://ark.cn-beijing.volces.com/api/v3", "ARK_API_KEY", False, "Doubao Audio", "volces.com"),
-]
-
-def gen_local_template(mod, prefix, base_url, env_var, display, doc_url):
-    return f'''//! {display} provider — a thin OpenAI-compatible wrapper.
-//!
-//! See <{doc_url}> for API documentation. Exposes an OpenAI-compatible
-//! Chat Completions API at `{base_url}`. The `{env_var}` environment
-//! variable holds a *base URL* (not an API key); when unset, the default
-//! endpoint is used. A placeholder API key is sent in the `Authorization`
-//! header — the shared `OpenAIProvider` requires a non-empty key string.
-
-use aimux_core::error::AiMuxError;
-use aimux_core::language_model::LanguageModel;
-use aimux_core::provider::Provider;
-
-use crate::openai::{{OpenAIConfig, OpenAIModel, OpenAIProvider}};
-
-const DEFAULT_BASE_URL: &str = "{base_url}";
-const ENV_VAR: &str = "{env_var}";
-const PROVIDER_NAME: &str = "{mod}";
-const PLACEHOLDER_API_KEY: &str = "{mod}";
-
-pub struct {prefix}Config(OpenAIConfig);
-
-impl {prefix}Config {{
-    pub fn new(api_key: impl Into<String>) -> Self {{
-        Self(
-            OpenAIConfig::new(api_key)
-                .with_base_url(DEFAULT_BASE_URL)
-                .with_provider(PROVIDER_NAME),
-        )
-    }}
-
-    pub fn from_env() -> Result<Self, AiMuxError> {{
-        let config = Self::new(PLACEHOLDER_API_KEY);
-        match std::env::var(ENV_VAR) {{
-            Ok(url) if !url.trim().is_empty() => Ok(config.with_base_url(url)),
-            _ => Ok(config),
-        }}
-    }}
-
-    pub fn with_base_url(mut self, url: impl Into<String>) -> Self {{
-        self.0 = self.0.with_base_url(url);
-        self
-    }}
-}}
-
-pub struct {prefix}Provider(OpenAIProvider);
-
-impl {prefix}Provider {{
-    pub fn new(config: {prefix}Config) -> Self {{
-        Self(OpenAIProvider::new(config.0))
-    }}
-
-    pub fn model(&self, model_id: &str) -> OpenAIModel {{
-        self.0.model(model_id)
-    }}
-}}
-
-impl Provider for {prefix}Provider {{
-    fn name(&self) -> &str {{
-        PROVIDER_NAME
-    }}
-
-    fn language_model(&self, model_id: &str) -> Result<Box<dyn LanguageModel>, AiMuxError> {{
-        Ok(Box::new(self.model(model_id)))
-    }}
-}}
-'''
-
-def gen_cloud_template(mod, prefix, base_url, env_var, display, doc_url):
-    return f'''//! {display} provider — a thin OpenAI-compatible wrapper.
-//!
-//! See <{doc_url}> for API documentation. Exposes an OpenAI-compatible
-//! Chat Completions API at `{base_url}`. Provider-specific details are the
-//! base URL and the `{env_var}` environment variable; everything else is
-//! delegated to the shared `OpenAIProvider`.
-
-use aimux_core::error::AiMuxError;
-use aimux_core::language_model::LanguageModel;
-use aimux_core::provider::Provider;
-use aimux_provider_utils::load_api_key;
-
-use crate::openai::{{OpenAIConfig, OpenAIModel, OpenAIProvider}};
-
-const DEFAULT_BASE_URL: &str = "{base_url}";
-const ENV_VAR: &str = "{env_var}";
-const PROVIDER_NAME: &str = "{mod}";
-
-pub struct {prefix}Config(OpenAIConfig);
-
-impl {prefix}Config {{
-    pub fn new(api_key: impl Into<String>) -> Self {{
-        Self(OpenAIConfig::new(api_key).with_base_url(DEFAULT_BASE_URL))
-    }}
-
-    pub fn from_env() -> Result<Self, AiMuxError> {{
-        let key = load_api_key(None, ENV_VAR, "{display}")?;
-        Ok(Self::new(key))
-    }}
-
-    pub fn with_base_url(mut self, url: impl Into<String>) -> Self {{
-        self.0 = self.0.with_base_url(url);
-        self
-    }}
-}}
-
-pub struct {prefix}Provider(OpenAIProvider);
-
-impl {prefix}Provider {{
-    pub fn new(config: {prefix}Config) -> Self {{
-        Self(OpenAIProvider::new(config.0))
-    }}
-
-    pub fn model(&self, model_id: &str) -> OpenAIModel {{
-        self.0.model(model_id)
-    }}
-}}
-
-impl Provider for {prefix}Provider {{
-    fn name(&self) -> &str {{
-        PROVIDER_NAME
-    }}
-
-    fn language_model(&self, model_id: &str) -> Result<Box<dyn LanguageModel>, AiMuxError> {{
-        Ok(Box::new(self.model(model_id)))
-    }}
-}}
-'''
-
-def main():
-    seen = set()
-    generated = []
-    skipped = []
-
-    for mod_name, prefix, base_url, env_var, is_local, display, doc_url in PROVIDERS:
-        if mod_name in ALREADY_DONE or mod_name in seen:
-            skipped.append(mod_name)
-            continue
-        seen.add(mod_name)
-
-        out_path = SRC / f"{mod_name}.rs"
-        if out_path.exists():
-            skipped.append(mod_name)
-            continue
-
-        if is_local:
-            content = gen_local_template(mod_name, prefix, base_url, env_var, display, doc_url)
-        else:
-            content = gen_cloud_template(mod_name, prefix, base_url, env_var, display, doc_url)
-
-        out_path.write_text(content, encoding="utf-8")
-        generated.append((mod_name, prefix))
-
-    print(f"Generated {len(generated)} provider files:")
-    for mod, prefix in sorted(generated):
-        print(f"  {mod}.rs ({prefix}Config / {prefix}Provider)")
-    if skipped:
-        print(f"\nSkipped {len(skipped)} (already exist): {', '.join(sorted(skipped))}")
-
-    # Print lib.rs snippet
-    print("\n# Add to lib.rs:")
-    for mod_name, _ in sorted(generated):
-        print(f'pub mod {mod_name};')
-    print()
-    for mod_name, prefix in sorted(generated):
-        print(f'pub use {mod_name}::{{{prefix}Config, {prefix}Provider}};')
-
-if __name__ == "__main__":
-    main()
diff --git a/scripts/list_wrong_providers.py b/scripts/list_wrong_providers.py
deleted file mode 100644
index 3af56751..00000000
--- a/scripts/list_wrong_providers.py
+++ /dev/null
@@ -1,35 +0,0 @@
-#!/usr/bin/env python3
-"""List providers to remove: NOT OpenAI Chat Completions compatible."""
-
-# These were generated as thin wrappers but are NOT OpenAI-compatible LLM chat providers.
-# They need different traits (ImageModel/VideoModel/SpeechModel/EmbeddingModel/etc.)
-# or different auth (SigV4/IAM/OAuth) or are not LLM APIs at all.
-
-REMOVE = {
-    # Vector databases — not LLM APIs
-    "milvus", "qdrant", "pg_vector", "s3_vectors",
-
-    # Embedding/reranking only — not chat
-    "clip", "fastembed", "tei", "text_embeddings_inference",
-    "nomic", "jina", "mixedbread",
-
-    # Image/Video/Music/3D generation — different API, not Chat Completions
-    "recraft", "ideogram", "stability_ai", "segmind", "runware",
-    "meshy", "tripo3d", "runwayml", "sora", "vidu",
-    "jimeng", "midjourney", "flux", "suno",
-
-    # Speech/TTS/STT — different API
-    "murf", "playai", "speechify", "inworld",
-    "aws_polly", "nvidia_riva", "soniox", "doubaoaudio", "mokaai",
-
-    # Non-LLM services — not chat APIs
-    "bing", "deepl", "dify", "slack", "doc2x",
-    "streamlake", "antling", "sangforaicp", "skylark",
-
-    # Special auth — not API key + Bearer
-    "watsonx", "sagemaker", "sap", "oci", "snowflake", "bedrock_mantle",
-}
-
-print(f"Total to remove: {len(REMOVE)}")
-for name in sorted(REMOVE):
-    print(f"  {name}")
diff --git a/scripts/migrate_openai_compatible_standalone.py b/scripts/migrate_openai_compatible_standalone.py
deleted file mode 100644
index 46b0517d..00000000
--- a/scripts/migrate_openai_compatible_standalone.py
+++ /dev/null
@@ -1,65 +0,0 @@
-#!/usr/bin/env python3
-"""Migrate remaining shell-type constructions in openai_compatible_test.rs.
-
-Pattern: `let cfg = XxxConfig::new("test-api-key").with_base_url(server.uri());
-          let provider = XxxProvider::new(cfg);
-          let model = provider.model("...");`
--> provider("xxx", Some(key), "model", Some(ProviderOptions { base_url }))
-
-Usage: uv run python scripts/migrate_openai_compatible_standalone.py
-"""
-
-import json
-import re
-import sys
-from pathlib import Path
-
-ROOT = Path(__file__).resolve().parent.parent
-F = ROOT / "aimux-providers" / "tests" / "openai_compatible_test.rs"
-JSON = ROOT / "aimux-providers" / "src" / "provider_registry.json"
-
-
-def to_type(n: str) -> str:
-    parts = n.split("_")
-    return "".join(p[0].upper() + p[1:] if p and not p[0].isdigit() else p for p in parts)
-
-
-def main() -> int:
-    entries = json.loads(JSON.read_text(encoding="utf-8"))
-    type_to_name = {to_type(e["name"]) + "Config": e["name"] for e in entries}
-
-    text = F.read_text(encoding="utf-8")
-
-    pattern = re.compile(
-        r'let (?:config|cfg) = (\w+Config)::new\("test-api-key"\)\.with_base_url\(server\.uri\(\)\);\n'
-        r"\s*let provider = \w+Provider::new\(\1\);\n"
-        r'\s*let model = provider\.model\("([^"]+)"\);'
-    )
-
-    def repl(m: re.Match) -> str:
-        config_ty = m.group(1)
-        model_id = m.group(2)
-        name = type_to_name.get(config_ty)
-        if name is None:
-            raise ValueError(f"no registry name for {config_ty}")
-        return (
-            "let model = provider(\n"
-            f'                    "{name}",\n'
-            '                    Some("test-api-key".to_string()),\n'
-            f'                    "{model_id}",\n'
-            "                    Some(ProviderOptions {\n"
-            "                        base_url: Some(server.uri()),\n"
-            "                        ..Default::default()\n"
-            "                    }),\n"
-            "                )\n"
-            '                .expect("provider construction");'
-        )
-
-    text, n = pattern.subn(repl, text)
-    F.write_text(text, encoding="utf-8")
-    print(f"standalone constructions replaced: {n}")
-    return 0
-
-
-if __name__ == "__main__":
-    sys.exit(main())
diff --git a/scripts/migrate_openai_compatible_test.py b/scripts/migrate_openai_compatible_test.py
deleted file mode 100644
index 83b2e653..00000000
--- a/scripts/migrate_openai_compatible_test.py
+++ /dev/null
@@ -1,147 +0,0 @@
-#!/usr/bin/env python3
-"""Migrate openai_compatible_test.rs off the retired shell types (phase 4).
-
-- Drop the 250-type import block -> provider/ProviderOptions.
-- Retarget the test-generating macro to provider(name, ...).
-- Rewrite call sites to (mod_name, "name", "model").
-
-Usage: uv run python scripts/migrate_openai_compatible_test.py
-Idempotent: pattern-based edits.
-"""
-
-import re
-import sys
-from pathlib import Path
-
-F = Path("aimux-providers/tests/openai_compatible_test.rs")
-
-
-def main() -> int:
-    text = F.read_text(encoding="utf-8")
-
-    # 1. Drop the big shell-type import block.
-    new_import = "use aimux_providers::{provider, ProviderOptions};"
-    text, n_imp = re.subn(
-        r"use aimux_providers::\{.*?\};", new_import, text, count=1, flags=re.DOTALL
-    )
-
-    # 2. Macro signature: (mod_name, provider_name_literal, model_id_literal).
-    text, n_sig = re.subn(
-        r"macro_rules! openai_compatible_tests \{\n"
-        r"    \(\n"
-        r"        \$mod_name:ident,\n"
-        r"        \$config:ty,\n"
-        r"        \$provider:ty,\n"
-        r"        \$model_id:literal\n"
-        r"    \) => \{",
-        "macro_rules! openai_compatible_tests {\n"
-        "    (\n"
-        "        $mod_name:ident,\n"
-        "        $provider_name:literal,\n"
-        "        $model_id:literal\n"
-        "    ) => {",
-        text,
-        count=1,
-    )
-
-    # 3. make_provider body: shell types -> provider() with base_url override.
-    text, n_fac = re.subn(
-        r"fn make_provider\(server: &MockServer\) -> \$provider \{\n"
-        r"                let config = <\$config>::new\(\"test-api-key\"\)\.with_base_url\(server\.uri\(\)\);\n"
-        r"                <\$provider>::new\(config\)\n"
-        r"            \}",
-        "fn make_provider(server: &MockServer) -> Box<dyn LanguageModel> {\n"
-        "                provider(\n"
-        "                    $provider_name,\n"
-        "                    Some(\"test-api-key\".to_string()),\n"
-        "                    $model_id,\n"
-        "                    Some(ProviderOptions {\n"
-        "                        base_url: Some(server.uri()),\n"
-        "                        ..Default::default()\n"
-        "                    }),\n"
-        "                )\n"
-        "                .expect(\"provider construction\")\n"
-        "            }",
-        text,
-        count=1,
-    )
-
-    # 4. All `let provider = make_provider(&server); let model = provider.model($model_id);`
-    text, n_use = re.subn(
-        r"let provider = make_provider\(&server\);\n\s*let model = provider\.model\(\$model_id\);",
-        "let model = make_provider(&server);",
-        text,
-    )
-
-    # 5. Call sites (single- and multi-line):
-    #    openai_compatible_tests!(name, NameConfig, NameProvider, "model");
-    text, n_calls = re.subn(
-        r"openai_compatible_tests!\(\s*(\w+),\s*\w+Config,\s*\w+Provider,\s*(\"[^\"]*\")\s*\)",
-        r'openai_compatible_tests!(\1, "\1", \2)',
-        text,
-    )
-
-    # 5b. Tool-test call sites: mod name is "<name>_tools", provider is "<name>".
-    text, n_tool_calls = re.subn(
-        r"openai_compatible_tool_tests!\(\s*(\w+)_tools,\s*\w+Config,\s*\w+Provider,\s*(\"[^\"]*\")\s*\)",
-        r'openai_compatible_tool_tests!(\1_tools, "\1", \2)',
-        text,
-    )
-
-    # 5c. Tool-test macro signature + factory (same shape as the main macro).
-    text, n_tool_sig = re.subn(
-        r"macro_rules! openai_compatible_tool_tests \{\n"
-        r"    \(\n"
-        r"        \$mod_name:ident,\n"
-        r"        \$config:ty,\n"
-        r"        \$provider:ty,\n"
-        r"        \$model_id:literal\n"
-        r"    \) => \{",
-        "macro_rules! openai_compatible_tool_tests {\n"
-        "    (\n"
-        "        $mod_name:ident,\n"
-        "        $provider_name:literal,\n"
-        "        $model_id:literal\n"
-        "    ) => {",
-        text,
-        count=1,
-    )
-    text, n_tool_fac = re.subn(
-        r"fn make_provider\(server: &MockServer\) -> \$provider \{\n"
-        r"                let config = <\$config>::new\(\"test-api-key\"\)\.with_base_url\(server\.uri\(\)\);\n"
-        r"                <\$provider>::new\(config\)\n"
-        r"            \}",
-        "fn make_provider(server: &MockServer) -> Box<dyn LanguageModel> {\n"
-        "                provider(\n"
-        "                    $provider_name,\n"
-        "                    Some(\"test-api-key\".to_string()),\n"
-        "                    $model_id,\n"
-        "                    Some(ProviderOptions {\n"
-        "                        base_url: Some(server.uri()),\n"
-        "                        ..Default::default()\n"
-        "                    }),\n"
-        "                )\n"
-        "                .expect(\"provider construction\")\n"
-        "            }",
-        text,
-        count=1,
-    )
-
-    # 6. Doc comment example near the macro.
-    text, _ = re.subn(
-        r"//   openai_compatible_tests!\(groq, Groq, GroqConfig, GroqProvider, \"llama-3\.3-70b-versatile\"\);",
-        '//   openai_compatible_tests!(groq, "groq", "llama-3.3-70b-versatile");',
-        text,
-        count=1,
-    )
-
-    F.write_text(text, encoding="utf-8")
-    print(
-        f"imports={n_imp} signature={n_sig} factory={n_fac} uses={n_use} "
-        f"calls={n_calls} tool_calls={n_tool_calls} tool_sig={n_tool_sig} tool_fac={n_tool_fac}"
-    )
-    return 0
-
-
-if __name__ == "__main__":
-    sys.exit(main())
diff --git a/scripts/revert_wrong_inventory.py b/scripts/revert_wrong_inventory.py
deleted file mode 100644
index bdec5e00..00000000
--- a/scripts/revert_wrong_inventory.py
+++ /dev/null
@@ -1,55 +0,0 @@
-#!/usr/bin/env python3
-"""Revert wrong providers in inventory: ✅薄 → ❌ for providers that were removed."""
-
-from pathlib import Path
-import re
-
-INV = Path(__file__).resolve().parent.parent / "rfc" / "0004-provider-inventory.md"
-content = INV.read_text(encoding="utf-8")
-
-check_thin = "\u2705\u8584"  # ✅薄
-cross = "\u274C"  # ❌
-
-# Provider names in inventory that should be reverted to ❌
-# Format: (inventory_name_variants)
-TO_REVERT = [
-    # Vector databases
-    "milvus (向量库)", "qdrant (向量库)", "pg_vector", "s3_vectors",
-    # Embedding-only
-    "clip", "fastembed", "tei (text embeddings inference)",
-    "text_embeddings_inference", "nomic", "jina", "mixedbread",
-    # Image/Video/Music/3D
-    "recraft", "ideogram", "flux", "suno (音乐)", "suno",
-    "midjourney", "sora", "vidu (视频)", "vidu", "jimeng (即梦)",
-    "meshy", "tripo3d", "segmind", "runware", "runwayml", "runway",
-    "stability", "stability-ai",
-    # Speech/TTS/STT
-    "murf", "playai", "speechify", "inworld",
-    "aws_polly", "nvidia_riva", "soniox", "doubaoaudio", "mokaai",
-    # Non-LLM
-    "bing (new bing)", "deepl", "dify", "slack (slack claude)",
-    "doc2x", "streamlake", "antling", "sangforaicp", "skylark (云雀)",
-    # Special auth
-    "watsonx (ibm)", "sagemaker (aws)", "sap",
-    "oci (oracle)", "snowflake", "bedrock_mantle",
-]
-
-lines = content.split("\n")
-changed = 0
-new_lines = []
-for line in lines:
-    if line.startswith("|") and check_thin in line:
-        # Check if this line matches any of the names to revert
-        parts = [p.strip() for p in line.split("|")]
-        if len(parts) >= 3:
-            name = parts[1]
-            for revert_name in TO_REVERT:
-                if name == revert_name:
-                    # Replace first ✅薄 with ❌
-                    line = line.replace(check_thin, cross, 1)
-                    changed += 1
-                    break
-    new_lines.append(line)
-
-INV.write_text("\n".join(new_lines), encoding="utf-8")
-print(f"Reverted {changed} lines")
diff --git a/scripts/update_inventory_status.py b/scripts/update_inventory_status.py
deleted file mode 100644
index d1efc4b7..00000000
--- a/scripts/update_inventory_status.py
+++ /dev/null
@@ -1,30 +0,0 @@
-#!/usr/bin/env python3
-"""Update inventory: mark all aimux ❌ as ✅薄 since we generated all providers."""
-
-import re
-from pathlib import Path
-
-INV = Path(__file__).resolve().parent.parent / "rfc" / "0004-provider-inventory.md"
-content = INV.read_text(encoding="utf-8")
-
-cross = "\u274C"  # ❌
-check_thin = "\u2705\u8584"  # ✅薄
-
-# In table rows, the aimux column is the second column (after the provider name).
-# Pattern: | provider_name | ❌ | ...
-# Replace the first ❌ in each table row with ✅薄
-lines = content.split("\n")
-changed = 0
-new_lines = []
-for line in lines:
-    if line.startswith("|") and cross in line:
-        # Only replace the FIRST ❌ (which is the aimux column)
-        new_line = line.replace(cross, check_thin, 1)
-        if new_line != line:
-            changed += 1
-        new_lines.append(new_line)
-    else:
-        new_lines.append(line)
-
-INV.write_text("\n".join(new_lines), encoding="utf-8")
-print(f"Updated {changed} lines")
diff --git a/scripts/update_lib_rs.py b/scripts/update_lib_rs.py
deleted file mode 100644
index cf42ba8d..00000000
--- a/scripts/update_lib_rs.py
+++ /dev/null
@@ -1,48 +0,0 @@
-#!/usr/bin/env python3
-"""Update lib.rs with all generated provider modules and re-exports."""
-
-import re
-from pathlib import Path
-
-LIB_RS = Path(__file__).resolve().parent.parent / "aimux-providers" / "src" / "lib.rs"
-SRC_DIR = LIB_RS.parent
-
-# Find all .rs files that are not already declared in lib.rs
-content = LIB_RS.read_text(encoding="utf-8")
-
-# Get already declared modules
-declared = set(re.findall(r'^pub mod (\w+);', content, re.MULTILINE))
-
-# Find all .rs files to add
-to_add = []
-for f in sorted(SRC_DIR.glob("*.rs")):
-    name = f.stem
-    if name == "lib" or name in declared:
-        continue
-    # Extract struct names
-    file_content = f.read_text(encoding="utf-8")
-    config_match = re.search(r'pub struct (\w+Config)', file_content)
-    provider_match = re.search(r'pub struct (\w+Provider)', file_content)
-    if config_match and provider_match:
-        to_add.append((name, config_match.group(1), provider_match.group(1)))
-
-# Add module declarations after the last pub mod line
-mod_lines = "\n".join(f"pub mod {name};" for name, _, _ in to_add)
-# Find the last "pub mod" line and insert after it
-lines = content.split("\n")
-last_mod_idx = 0
-for i, line in enumerate(lines):
-    if line.startswith("pub mod "):
-        last_mod_idx = i
-lines.insert(last_mod_idx + 1, f"\n// Bulk-generated thin-wrapper providers.\n{mod_lines}")
-
-# Add re-exports after the last pub use line
-use_lines = "\n".join(f"pub use {name}::{{{cfg}, {prov}}};" for name, cfg, prov in to_add)
-last_use_idx = 0
-for i, line in enumerate(lines):
-    if line.startswith("pub use "):
-        last_use_idx = i
-lines.insert(last_use_idx + 1, f"\n// Bulk-generated provider re-exports.\n{use_lines}")
-
-LIB_RS.write_text("\n".join(lines), encoding="utf-8")
-print(f"Added {len(to_add)} modules and re-exports to lib.rs")