harn_vm/

llm_config.rs

use serde::{Deserialize, Serialize};
use std::cell::RefCell;
use std::collections::BTreeMap;
use std::sync::OnceLock;

static CONFIG: OnceLock<ProvidersConfig> = OnceLock::new();
static CONFIG_PATH: OnceLock<String> = OnceLock::new();

thread_local! {
    /// Thread-local provider config overlays installed by the CLI after it
    /// reads the nearest `harn.toml` plus any installed package manifests.
    /// Kept thread-local so tests and multi-VM hosts can scope extensions to
    /// the current run without mutating the process-wide default config.
    static USER_OVERRIDES: RefCell<Option<ProvidersConfig>> = const { RefCell::new(None) };
}

#[derive(Debug, Clone, Deserialize, Default)]
pub struct ProvidersConfig {
    #[serde(default)]
    pub default_provider: Option<String>,
    #[serde(default)]
    pub providers: BTreeMap<String, ProviderDef>,
    #[serde(default)]
    pub aliases: BTreeMap<String, AliasDef>,
    #[serde(default)]
    pub models: BTreeMap<String, ModelDef>,
    #[serde(default)]
    pub qc_defaults: BTreeMap<String, String>,
    #[serde(default)]
    pub inference_rules: Vec<InferenceRule>,
    #[serde(default)]
    pub tier_rules: Vec<TierRule>,
    #[serde(default)]
    pub tier_defaults: TierDefaults,
    #[serde(default)]
    pub model_defaults: BTreeMap<String, BTreeMap<String, toml::Value>>,
}

impl ProvidersConfig {
    pub fn is_empty(&self) -> bool {
        self.default_provider.is_none()
            && self.providers.is_empty()
            && self.aliases.is_empty()
            && self.models.is_empty()
            && self.qc_defaults.is_empty()
            && self.inference_rules.is_empty()
            && self.tier_rules.is_empty()
            && self.model_defaults.is_empty()
            && self.tier_defaults.default == default_mid()
    }

    pub fn merge_from(&mut self, overlay: &ProvidersConfig) {
        self.providers.extend(overlay.providers.clone());
        self.aliases.extend(overlay.aliases.clone());
        self.models.extend(overlay.models.clone());
        self.qc_defaults.extend(overlay.qc_defaults.clone());

        if overlay.default_provider.is_some() {
            self.default_provider = overlay.default_provider.clone();
        }

        if !overlay.inference_rules.is_empty() {
            let mut merged = overlay.inference_rules.clone();
            merged.extend(self.inference_rules.clone());
            self.inference_rules = merged;
        }

        if !overlay.tier_rules.is_empty() {
            let mut merged = overlay.tier_rules.clone();
            merged.extend(self.tier_rules.clone());
            self.tier_rules = merged;
        }

        if overlay.tier_defaults.default != default_mid() {
            self.tier_defaults = overlay.tier_defaults.clone();
        }

        for (pattern, defaults) in &overlay.model_defaults {
            self.model_defaults
                .entry(pattern.clone())
                .or_default()
                .extend(defaults.clone());
        }
    }
}

#[derive(Debug, Clone, Deserialize)]
pub struct ProviderDef {
    #[serde(default)]
    pub display_name: Option<String>,
    #[serde(default)]
    pub icon: Option<String>,
    pub base_url: String,
    #[serde(default)]
    pub base_url_env: Option<String>,
    #[serde(default = "default_bearer")]
    pub auth_style: String,
    #[serde(default)]
    pub auth_header: Option<String>,
    #[serde(default)]
    pub auth_env: AuthEnv,
    #[serde(default)]
    pub extra_headers: BTreeMap<String, String>,
    #[serde(default)]
    pub chat_endpoint: String,
    #[serde(default)]
    pub completion_endpoint: Option<String>,
    #[serde(default)]
    pub healthcheck: Option<HealthcheckDef>,
    #[serde(default)]
    pub features: Vec<String>,
    /// Fallback provider name to try if this provider fails.
    #[serde(default)]
    pub fallback: Option<String>,
    /// Number of retries before falling back (default 0).
    #[serde(default)]
    pub retry_count: Option<u32>,
    /// Delay between retries in milliseconds (default 1000).
    #[serde(default)]
    pub retry_delay_ms: Option<u64>,
    /// Maximum requests per minute. None = unlimited.
    #[serde(default)]
    pub rpm: Option<u32>,
    /// Provider/catalog pricing in USD per 1k input tokens.
    #[serde(default)]
    pub cost_per_1k_in: Option<f64>,
    /// Provider/catalog pricing in USD per 1k output tokens.
    #[serde(default)]
    pub cost_per_1k_out: Option<f64>,
    /// Observed or configured p50 latency in milliseconds.
    #[serde(default)]
    pub latency_p50_ms: Option<u64>,
}

impl Default for ProviderDef {
    fn default() -> Self {
        Self {
            display_name: None,
            icon: None,
            base_url: String::new(),
            base_url_env: None,
            auth_style: default_bearer(),
            auth_header: None,
            auth_env: AuthEnv::None,
            extra_headers: BTreeMap::new(),
            chat_endpoint: String::new(),
            completion_endpoint: None,
            healthcheck: None,
            features: Vec::new(),
            fallback: None,
            retry_count: None,
            retry_delay_ms: None,
            rpm: None,
            cost_per_1k_in: None,
            cost_per_1k_out: None,
            latency_p50_ms: None,
        }
    }
}

fn default_bearer() -> String {
    "bearer".to_string()
}

/// Auth env var name(s) for the provider. Can be a single string or an array
/// (tried in order until one is set).
#[derive(Debug, Clone, Deserialize, Default)]
#[serde(untagged)]
pub enum AuthEnv {
    #[default]
    None,
    Single(String),
    Multiple(Vec<String>),
}

#[derive(Debug, Clone, Deserialize)]
pub struct HealthcheckDef {
    pub method: String,
    #[serde(default)]
    pub path: Option<String>,
    #[serde(default)]
    pub url: Option<String>,
    #[serde(default)]
    pub body: Option<String>,
}

#[derive(Debug, Clone, Deserialize, Serialize, PartialEq, Eq)]
pub struct AliasDef {
    pub id: String,
    pub provider: String,
    /// Per-model tool format override: "native" or "text". When set, this
    /// takes precedence over the provider-level default. Models with strong
    /// tool-calling fine-tuning (Kimi-K2.5, GPT-4o) should use "native";
    /// models better served by text-based tool calling use "text".
    #[serde(default)]
    pub tool_format: Option<String>,
}

#[derive(Debug, Clone, Deserialize, Serialize, PartialEq)]
pub struct ModelPricing {
    pub input_per_mtok: f64,
    pub output_per_mtok: f64,
    #[serde(default)]
    pub cache_read_per_mtok: Option<f64>,
    #[serde(default)]
    pub cache_write_per_mtok: Option<f64>,
}

#[derive(Debug, Clone, Deserialize, Serialize, PartialEq)]
pub struct ModelDef {
    pub name: String,
    pub provider: String,
    pub context_window: u64,
    #[serde(default)]
    pub runtime_context_window: Option<u64>,
    #[serde(default)]
    pub stream_timeout: Option<f64>,
    #[serde(default)]
    pub capabilities: Vec<String>,
    #[serde(default)]
    pub pricing: Option<ModelPricing>,
}

#[derive(Debug, Clone, Serialize, PartialEq, Eq)]
pub struct ResolvedModel {
    pub id: String,
    pub provider: String,
    pub alias: Option<String>,
    pub tool_format: String,
    pub tier: String,
}

#[derive(Debug, Clone, Deserialize)]
pub struct InferenceRule {
    #[serde(default)]
    pub pattern: Option<String>,
    #[serde(default)]
    pub contains: Option<String>,
    #[serde(default)]
    pub exact: Option<String>,
    pub provider: String,
}

#[derive(Debug, Clone, Deserialize)]
pub struct TierRule {
    #[serde(default)]
    pub pattern: Option<String>,
    #[serde(default)]
    pub contains: Option<String>,
    #[serde(default)]
    pub exact: Option<String>,
    pub tier: String,
}

#[derive(Debug, Clone, Deserialize)]
pub struct TierDefaults {
    #[serde(default = "default_mid")]
    pub default: String,
}

impl Default for TierDefaults {
    fn default() -> Self {
        Self {
            default: default_mid(),
        }
    }
}

fn default_mid() -> String {
    "mid".to_string()
}

/// Load and cache the providers config. Called once at VM startup.
pub fn load_config() -> &'static ProvidersConfig {
    CONFIG.get_or_init(|| {
        let mut config = default_config();
        let verbose_config_logging = matches!(
            std::env::var("HARN_VERBOSE_CONFIG").ok().as_deref(),
            Some("1" | "true" | "TRUE" | "yes" | "YES")
        ) || matches!(
            std::env::var("HARN_ACP_VERBOSE").ok().as_deref(),
            Some("1" | "true" | "TRUE" | "yes" | "YES")
        );
        if let Ok(path) = std::env::var("HARN_PROVIDERS_CONFIG") {
            if let Some(overlay) = read_external_config(&path, verbose_config_logging) {
                config.merge_from(&overlay);
                let _ = CONFIG_PATH.set(path);
                return config;
            }
        }
        if let Some(home) = dirs_or_home() {
            let path = format!("{home}/.config/harn/providers.toml");
            if let Some(overlay) = read_external_config(&path, false) {
                config.merge_from(&overlay);
                let _ = CONFIG_PATH.set(path);
                return config;
            }
        }
        config
    })
}

fn read_external_config(path: &str, verbose: bool) -> Option<ProvidersConfig> {
    match std::fs::read_to_string(path) {
        Ok(content) => match toml::from_str::<ProvidersConfig>(&content) {
            Ok(config) => {
                if verbose {
                    eprintln!(
                        "[llm_config] Loaded {} providers, {} aliases from {}",
                        config.providers.len(),
                        config.aliases.len(),
                        path
                    );
                }
                Some(config)
            }
            Err(error) => {
                eprintln!("[llm_config] TOML parse error in {}: {}", path, error);
                None
            }
        },
        Err(error) => {
            if verbose {
                eprintln!("[llm_config] Cannot read {}: {}", path, error);
            }
            None
        }
    }
}

/// Returns the filesystem path of the currently-loaded providers config, if
/// any. Returns `None` when built-in defaults are active.
pub fn loaded_config_path() -> Option<std::path::PathBuf> {
    // Force lazy init so CONFIG_PATH is populated if a file was loaded.
    let _ = load_config();
    CONFIG_PATH.get().map(std::path::PathBuf::from)
}

/// Install per-run provider config overlays. The overlay uses the same shape as
/// `providers.toml`, but lives under `[llm]` in `harn.toml` and package
/// manifests. Passing `None` clears the overlay.
pub fn set_user_overrides(config: Option<ProvidersConfig>) {
    USER_OVERRIDES.with(|cell| *cell.borrow_mut() = config);
}

/// Clear per-run provider config overlays.
pub fn clear_user_overrides() {
    set_user_overrides(None);
}

fn effective_config() -> ProvidersConfig {
    let mut merged = load_config().clone();
    USER_OVERRIDES.with(|cell| {
        if let Some(overlay) = cell.borrow().as_ref() {
            merged.merge_from(overlay);
        }
    });
    merged
}

/// Resolve a model alias to (model_id, provider_name).
pub fn resolve_model(alias: &str) -> (String, Option<String>) {
    let config = effective_config();
    if let Some(a) = config.aliases.get(alias) {
        return (a.id.clone(), Some(a.provider.clone()));
    }
    (normalize_model_id(alias), None)
}

/// Strip host/provider selector prefixes that identify transport, not the
/// provider-native model id. This mirrors Burin's existing normalization so
/// `ollama:qwen3:30b` reaches Ollama as `qwen3:30b` instead of an invalid
/// model named `ollama`.
pub fn normalize_model_id(raw: &str) -> String {
    for prefix in ["ollama:", "local:", "huggingface:", "hf:"] {
        if let Some(stripped) = raw.strip_prefix(prefix) {
            return stripped.to_string();
        }
    }
    raw.to_string()
}

/// Resolve an alias or selector into the complete catalog identity hosts need:
/// provider inference, prefix-normalized model id, default tool format, and tier.
pub fn resolve_model_info(selector: &str) -> ResolvedModel {
    let config = effective_config();
    if let Some(alias) = config.aliases.get(selector) {
        let id = alias.id.clone();
        let provider = alias.provider.clone();
        let tool_format = alias
            .tool_format
            .clone()
            .unwrap_or_else(|| default_tool_format_with_config(&config, &id, &provider));
        return ResolvedModel {
            tier: model_tier_with_config(&config, &id),
            id,
            provider,
            alias: Some(selector.to_string()),
            tool_format,
        };
    }

    let provider = infer_provider_with_config(&config, selector).provider;
    let id = normalize_model_id(selector);
    let tool_format = default_tool_format_with_config(&config, &id, &provider);
    let tier = model_tier_with_config(&config, &id);
    ResolvedModel {
        id,
        provider,
        alias: None,
        tool_format,
        tier,
    }
}

/// Infer provider from a model ID using inference rules.
pub fn infer_provider(model_id: &str) -> String {
    infer_provider_detail(model_id).provider
}

/// Infer provider from a model ID and retain whether the configured default was used.
pub(crate) fn infer_provider_detail(model_id: &str) -> crate::llm::provider::ProviderInference {
    let config = effective_config();
    infer_provider_with_config(&config, model_id)
}

fn infer_provider_with_config(
    config: &ProvidersConfig,
    model_id: &str,
) -> crate::llm::provider::ProviderInference {
    if model_id.starts_with("local:") || model_id.starts_with("ollama:") {
        return crate::llm::provider::ProviderInference::builtin("ollama");
    }
    if model_id.starts_with("huggingface:") || model_id.starts_with("hf:") {
        return crate::llm::provider::ProviderInference::builtin("huggingface");
    }
    for rule in &config.inference_rules {
        if let Some(exact) = &rule.exact {
            if model_id == exact {
                return crate::llm::provider::ProviderInference::builtin(rule.provider.clone());
            }
        }
        if let Some(pattern) = &rule.pattern {
            if glob_match(pattern, model_id) {
                return crate::llm::provider::ProviderInference::builtin(rule.provider.clone());
            }
        }
        if let Some(substr) = &rule.contains {
            if model_id.contains(substr.as_str()) {
                return crate::llm::provider::ProviderInference::builtin(rule.provider.clone());
            }
        }
    }
    crate::llm::provider::infer_provider_from_model_id(
        model_id,
        &default_provider_with_config(config),
    )
}

pub fn default_provider() -> String {
    let config = effective_config();
    default_provider_with_config(&config)
}

fn default_provider_with_config(config: &ProvidersConfig) -> String {
    std::env::var("HARN_DEFAULT_PROVIDER")
        .ok()
        .map(|value| value.trim().to_string())
        .filter(|value| !value.is_empty() && !value.eq_ignore_ascii_case("auto"))
        .or_else(|| {
            config
                .default_provider
                .as_deref()
                .map(str::trim)
                .filter(|value| !value.is_empty() && !value.eq_ignore_ascii_case("auto"))
                .map(str::to_string)
        })
        .unwrap_or_else(|| "anthropic".to_string())
}

/// Get model tier ("small", "mid", "frontier").
pub fn model_tier(model_id: &str) -> String {
    let config = effective_config();
    model_tier_with_config(&config, model_id)
}

fn model_tier_with_config(config: &ProvidersConfig, model_id: &str) -> String {
    for rule in &config.tier_rules {
        if let Some(exact) = &rule.exact {
            if model_id == exact {
                return rule.tier.clone();
            }
        }
        if let Some(pattern) = &rule.pattern {
            if glob_match(pattern, model_id) {
                return rule.tier.clone();
            }
        }
        if let Some(substr) = &rule.contains {
            if model_id.contains(substr.as_str()) {
                return rule.tier.clone();
            }
        }
    }
    let lower = model_id.to_lowercase();
    if lower.contains("9b") || lower.contains("a3b") {
        return "small".to_string();
    }
    if lower.starts_with("claude-") || lower == "gpt-4o" {
        return "frontier".to_string();
    }
    config.tier_defaults.default.clone()
}

/// Get provider config for resolving base_url, auth, etc.
pub fn provider_config(name: &str) -> Option<ProviderDef> {
    effective_config().providers.get(name).cloned()
}

/// Get model-specific default parameters (temperature, etc.).
/// Matches glob patterns in model_defaults keys.
pub fn model_params(model_id: &str) -> BTreeMap<String, toml::Value> {
    let config = effective_config();
    let mut params = BTreeMap::new();
    for (pattern, defaults) in &config.model_defaults {
        if glob_match(pattern, model_id) {
            for (k, v) in defaults {
                params.insert(k.clone(), v.clone());
            }
        }
    }
    params
}

/// Get list of configured provider names.
pub fn provider_names() -> Vec<String> {
    effective_config().providers.keys().cloned().collect()
}

/// Return every configured alias name, sorted deterministically.
pub fn known_model_names() -> Vec<String> {
    effective_config().aliases.keys().cloned().collect()
}

pub fn alias_entries() -> Vec<(String, AliasDef)> {
    effective_config().aliases.into_iter().collect()
}

/// Return every configured model-catalog entry, sorted by provider then id.
pub fn model_catalog_entries() -> Vec<(String, ModelDef)> {
    let mut entries: Vec<_> = effective_config()
        .models
        .into_iter()
        .map(|(id, model)| {
            let provider = model.provider.clone();
            (
                id.clone(),
                with_effective_capability_tags(id, provider, model),
            )
        })
        .collect();
    entries.sort_by(|(id_a, model_a), (id_b, model_b)| {
        model_a
            .provider
            .cmp(&model_b.provider)
            .then_with(|| id_a.cmp(id_b))
    });
    entries
}

pub fn model_catalog_entry(model_id: &str) -> Option<ModelDef> {
    effective_config()
        .models
        .get(model_id)
        .cloned()
        .map(|model| {
            let provider = model.provider.clone();
            with_effective_capability_tags(model_id.to_string(), provider, model)
        })
}

pub fn qc_default_model(provider: &str) -> Option<String> {
    std::env::var("BURIN_QC_MODEL")
        .ok()
        .filter(|value| !value.trim().is_empty())
        .or_else(|| {
            effective_config()
                .qc_defaults
                .get(&provider.to_lowercase())
                .cloned()
        })
}

pub fn default_model_for_provider(provider: &str) -> String {
    match provider {
        "local" => std::env::var("LOCAL_LLM_MODEL")
            .or_else(|_| std::env::var("HARN_LLM_MODEL"))
            .unwrap_or_else(|_| "gpt-4o".to_string()),
        "mlx" => std::env::var("MLX_MODEL_ID")
            .unwrap_or_else(|_| "unsloth/Qwen3.6-27B-UD-MLX-4bit".to_string()),
        "openai" => "gpt-4o".to_string(),
        "ollama" => "llama3.2".to_string(),
        "openrouter" => "anthropic/claude-sonnet-4.6".to_string(),
        _ => "claude-sonnet-4-20250514".to_string(),
    }
}

pub fn qc_defaults() -> BTreeMap<String, String> {
    effective_config().qc_defaults
}

pub fn model_pricing_per_mtok(model_id: &str) -> Option<ModelPricing> {
    effective_config()
        .models
        .get(model_id)
        .and_then(|model| model.pricing.clone())
}

pub fn pricing_per_1k_for(provider: &str, model_id: &str) -> Option<(f64, f64)> {
    model_pricing_per_mtok(model_id)
        .map(|pricing| {
            (
                pricing.input_per_mtok / 1000.0,
                pricing.output_per_mtok / 1000.0,
            )
        })
        .or_else(|| {
            let (input, output, _) = provider_economics(provider);
            match (input, output) {
                (Some(input), Some(output)) => Some((input, output)),
                _ => None,
            }
        })
}

pub fn auth_env_names(auth_env: &AuthEnv) -> Vec<String> {
    match auth_env {
        AuthEnv::None => Vec::new(),
        AuthEnv::Single(name) => vec![name.clone()],
        AuthEnv::Multiple(names) => names.clone(),
    }
}

pub fn provider_key_available(provider: &str) -> bool {
    let Some(pdef) = provider_config(provider) else {
        return provider == "ollama";
    };
    if pdef.auth_style == "none" || matches!(pdef.auth_env, AuthEnv::None) {
        return true;
    }
    auth_env_names(&pdef.auth_env).into_iter().any(|env_name| {
        std::env::var(env_name)
            .ok()
            .is_some_and(|value| !value.trim().is_empty())
    })
}

pub fn available_provider_names() -> Vec<String> {
    provider_names()
        .into_iter()
        .filter(|provider| provider_key_available(provider))
        .collect()
}

/// Check if a provider advertises a legacy provider-level feature.
pub fn provider_has_feature(provider: &str, feature: &str) -> bool {
    provider_config(provider)
        .map(|p| p.features.iter().any(|f| f == feature))
        .unwrap_or(false)
}

/// Provider-level catalog pricing/latency. Model-specific catalog pricing
/// wins when available; this is the adapter-level fallback used by routing
/// and portal summaries when a model has no explicit catalog entry.
pub fn provider_economics(provider: &str) -> (Option<f64>, Option<f64>, Option<u64>) {
    provider_config(provider)
        .map(|p| (p.cost_per_1k_in, p.cost_per_1k_out, p.latency_p50_ms))
        .unwrap_or((None, None, None))
}

/// Resolve the default tool format for a model+provider combination.
/// Priority: alias `tool_format` (matched by model ID) > provider/model
/// capability matrix > legacy provider feature > "text".
pub fn default_tool_format(model: &str, provider: &str) -> String {
    let config = effective_config();
    default_tool_format_with_config(&config, model, provider)
}

fn default_tool_format_with_config(
    config: &ProvidersConfig,
    model: &str,
    provider: &str,
) -> String {
    // Aliases match by model ID + provider, or by alias name.
    for (name, alias) in &config.aliases {
        let matches = (alias.id == model && alias.provider == provider) || name == model;
        if matches {
            if let Some(ref fmt) = alias.tool_format {
                return fmt.clone();
            }
        }
    }
    let capability_matrix_native = crate::llm::capabilities::lookup(provider, model).native_tools;
    let legacy_provider_native = config
        .providers
        .get(provider)
        .map(|p| p.features.iter().any(|f| f == "native_tools"))
        .unwrap_or(false);
    if capability_matrix_native || legacy_provider_native {
        "native".to_string()
    } else {
        "text".to_string()
    }
}

fn with_effective_capability_tags(
    model_id: String,
    provider: String,
    mut model: ModelDef,
) -> ModelDef {
    model.capabilities = effective_model_capability_tags(&provider, &model_id);
    model
}

/// Legacy display tags derived from the canonical provider/model capability
/// matrix. The matrix is the source of truth; `models.*.capabilities` in
/// providers.toml is accepted only for backwards-compatible parsing.
pub fn effective_model_capability_tags(provider: &str, model_id: &str) -> Vec<String> {
    let caps = crate::llm::capabilities::lookup(provider, model_id);
    let mut tags = Vec::new();
    // Today all Harn chat providers expose streaming. Keep this as a
    // transport baseline rather than a duplicated per-model declaration.
    tags.push("streaming".to_string());
    if caps.native_tools {
        tags.push("tools".to_string());
    }
    if !caps.tool_search.is_empty() {
        tags.push("tool_search".to_string());
    }
    if caps.vision || caps.vision_supported {
        tags.push("vision".to_string());
    }
    if caps.audio {
        tags.push("audio".to_string());
    }
    if caps.pdf {
        tags.push("pdf".to_string());
    }
    if caps.files_api_supported {
        tags.push("files".to_string());
    }
    if caps.prompt_caching {
        tags.push("prompt_caching".to_string());
    }
    if !caps.thinking_modes.is_empty() {
        tags.push("thinking".to_string());
    }
    if caps.interleaved_thinking_supported
        || caps
            .thinking_modes
            .iter()
            .any(|mode| mode == "adaptive" || mode == "effort")
    {
        tags.push("extended_thinking".to_string());
    }
    if caps.json_schema.is_some() {
        tags.push("structured_output".to_string());
    }
    tags
}

/// Resolve a tier or alias into a concrete model/provider pair.
pub fn resolve_tier_model(
    target: &str,
    preferred_provider: Option<&str>,
) -> Option<(String, String)> {
    let config = effective_config();

    if let Some(alias) = config.aliases.get(target) {
        return Some((alias.id.clone(), alias.provider.clone()));
    }

    let candidate_aliases = if let Some(provider) = preferred_provider {
        vec![
            format!("{provider}/{target}"),
            format!("{provider}:{target}"),
            format!("tier/{target}"),
            target.to_string(),
        ]
    } else {
        vec![format!("tier/{target}"), target.to_string()]
    };

    for alias_name in candidate_aliases {
        if let Some(alias) = config.aliases.get(&alias_name) {
            return Some((alias.id.clone(), alias.provider.clone()));
        }
    }

    None
}

/// Return all configured alias-backed model/provider pairs whose resolved
/// model falls into the requested capability tier. The result is de-duplicated
/// and sorted deterministically by provider then model id.
pub fn tier_candidates(target: &str) -> Vec<(String, String)> {
    let config = effective_config();
    let mut seen = std::collections::BTreeSet::new();
    let mut candidates = Vec::new();

    for alias in config.aliases.values() {
        let pair = (alias.id.clone(), alias.provider.clone());
        if seen.contains(&pair) {
            continue;
        }
        if model_tier(&alias.id) == target {
            seen.insert(pair.clone());
            candidates.push(pair);
        }
    }

    candidates.sort_by(|(model_a, provider_a), (model_b, provider_b)| {
        provider_a
            .cmp(provider_b)
            .then_with(|| model_a.cmp(model_b))
    });
    candidates
}

/// Return all configured alias-backed model/provider pairs. Used by routing
/// policies that need to compare alternatives across tiers.
pub fn all_model_candidates() -> Vec<(String, String)> {
    let config = effective_config();
    let mut seen = std::collections::BTreeSet::new();
    let mut candidates = Vec::new();

    for alias in config.aliases.values() {
        let pair = (alias.id.clone(), alias.provider.clone());
        if seen.insert(pair.clone()) {
            candidates.push(pair);
        }
    }

    candidates.sort_by(|(model_a, provider_a), (model_b, provider_b)| {
        provider_a
            .cmp(provider_b)
            .then_with(|| model_a.cmp(model_b))
    });
    candidates
}

/// Simple glob matching for patterns like "claude-*", "qwen/*", "ollama:*".
fn glob_match(pattern: &str, input: &str) -> bool {
    if let Some(prefix) = pattern.strip_suffix('*') {
        input.starts_with(prefix)
    } else if let Some(suffix) = pattern.strip_prefix('*') {
        input.ends_with(suffix)
    } else if pattern.contains('*') {
        let parts: Vec<&str> = pattern.split('*').collect();
        if parts.len() == 2 {
            input.starts_with(parts[0]) && input.ends_with(parts[1])
        } else {
            input == pattern
        }
    } else {
        input == pattern
    }
}

fn dirs_or_home() -> Option<String> {
    std::env::var("HOME").ok()
}

/// Resolve the effective base URL for a provider, checking the `base_url_env`
/// override first, then falling back to the configured `base_url`.
pub fn resolve_base_url(pdef: &ProviderDef) -> String {
    if let Some(env_name) = &pdef.base_url_env {
        if let Ok(val) = std::env::var(env_name) {
            // Strip surrounding quotes that some .env parsers leave intact.
            let trimmed = val.trim().trim_matches('"').trim_matches('\'');
            if !trimmed.is_empty() {
                return trimmed.to_string();
            }
        }
    }
    pdef.base_url.clone()
}

fn default_config() -> ProvidersConfig {
    let mut config = ProvidersConfig {
        default_provider: Some("anthropic".to_string()),
        ..Default::default()
    };

    config.providers.insert(
        "anthropic".to_string(),
        ProviderDef {
            base_url: "https://api.anthropic.com/v1".to_string(),
            auth_style: "header".to_string(),
            auth_header: Some("x-api-key".to_string()),
            auth_env: AuthEnv::Single("ANTHROPIC_API_KEY".to_string()),
            extra_headers: BTreeMap::from([(
                "anthropic-version".to_string(),
                "2023-06-01".to_string(),
            )]),
            chat_endpoint: "/messages".to_string(),
            completion_endpoint: None,
            healthcheck: Some(HealthcheckDef {
                method: "POST".to_string(),
                path: Some("/messages/count_tokens".to_string()),
                url: None,
                body: Some(
                    r#"{"model":"claude-sonnet-4-20250514","messages":[{"role":"user","content":"x"}]}"#
                        .to_string(),
                ),
            }),
            features: vec!["prompt_caching".to_string(), "thinking".to_string()],
            cost_per_1k_in: Some(0.003),
            cost_per_1k_out: Some(0.015),
            latency_p50_ms: Some(2500),
            ..Default::default()
        },
    );

    // OpenAI
    config.providers.insert(
        "openai".to_string(),
        ProviderDef {
            base_url: "https://api.openai.com/v1".to_string(),
            auth_style: "bearer".to_string(),
            auth_env: AuthEnv::Single("OPENAI_API_KEY".to_string()),
            chat_endpoint: "/chat/completions".to_string(),
            completion_endpoint: Some("/completions".to_string()),
            healthcheck: Some(HealthcheckDef {
                method: "GET".to_string(),
                path: Some("/models".to_string()),
                url: None,
                body: None,
            }),
            cost_per_1k_in: Some(0.0025),
            cost_per_1k_out: Some(0.010),
            latency_p50_ms: Some(1800),
            ..Default::default()
        },
    );

    // OpenRouter
    config.providers.insert(
        "openrouter".to_string(),
        ProviderDef {
            base_url: "https://openrouter.ai/api/v1".to_string(),
            auth_style: "bearer".to_string(),
            auth_env: AuthEnv::Single("OPENROUTER_API_KEY".to_string()),
            chat_endpoint: "/chat/completions".to_string(),
            completion_endpoint: Some("/completions".to_string()),
            healthcheck: Some(HealthcheckDef {
                method: "GET".to_string(),
                path: Some("/auth/key".to_string()),
                url: None,
                body: None,
            }),
            cost_per_1k_in: Some(0.003),
            cost_per_1k_out: Some(0.015),
            latency_p50_ms: Some(2200),
            ..Default::default()
        },
    );

    // HuggingFace
    config.providers.insert(
        "huggingface".to_string(),
        ProviderDef {
            base_url: "https://router.huggingface.co/v1".to_string(),
            auth_style: "bearer".to_string(),
            auth_env: AuthEnv::Multiple(vec![
                "HF_TOKEN".to_string(),
                "HUGGINGFACE_API_KEY".to_string(),
            ]),
            chat_endpoint: "/chat/completions".to_string(),
            completion_endpoint: Some("/completions".to_string()),
            healthcheck: Some(HealthcheckDef {
                method: "GET".to_string(),
                url: Some("https://huggingface.co/api/whoami-v2".to_string()),
                path: None,
                body: None,
            }),
            cost_per_1k_in: Some(0.0002),
            cost_per_1k_out: Some(0.0006),
            latency_p50_ms: Some(2400),
            ..Default::default()
        },
    );

    // Ollama default. Hosts can override this to `/v1/chat/completions`
    // via a bundled `providers.toml` (loaded by setting
    // `HARN_PROVIDERS_CONFIG` in the host process). The OpenAI-compat
    // path bypasses Ollama's per-model tool-call post-processors
    // (qwen3coder.go, qwen35.go) which raise HTTP 500s on text-mode
    // responses for the Qwen3.5 family. The default here stays on
    // `/api/chat` so the harn-vm test stub keeps working with Ollama's
    // native NDJSON wire format.
    config.providers.insert(
        "ollama".to_string(),
        ProviderDef {
            base_url: "http://localhost:11434".to_string(),
            base_url_env: Some("OLLAMA_HOST".to_string()),
            auth_style: "none".to_string(),
            chat_endpoint: "/api/chat".to_string(),
            completion_endpoint: Some("/api/generate".to_string()),
            healthcheck: Some(HealthcheckDef {
                method: "GET".to_string(),
                path: Some("/api/tags".to_string()),
                url: None,
                body: None,
            }),
            cost_per_1k_in: Some(0.0),
            cost_per_1k_out: Some(0.0),
            latency_p50_ms: Some(1200),
            ..Default::default()
        },
    );

    // Google Gemini native API.
    config.providers.insert(
        "gemini".to_string(),
        ProviderDef {
            base_url: "https://generativelanguage.googleapis.com".to_string(),
            base_url_env: Some("GEMINI_BASE_URL".to_string()),
            auth_style: "header".to_string(),
            auth_header: Some("x-goog-api-key".to_string()),
            auth_env: AuthEnv::Multiple(vec![
                "GEMINI_API_KEY".to_string(),
                "GOOGLE_API_KEY".to_string(),
            ]),
            chat_endpoint: "/v1beta/models".to_string(),
            healthcheck: Some(HealthcheckDef {
                method: "GET".to_string(),
                path: Some("/v1beta/models".to_string()),
                url: None,
                body: None,
            }),
            cost_per_1k_in: Some(0.00125),
            cost_per_1k_out: Some(0.005),
            latency_p50_ms: Some(1800),
            ..Default::default()
        },
    );

    // Together AI (OpenAI-compatible)
    config.providers.insert(
        "together".to_string(),
        ProviderDef {
            base_url: "https://api.together.xyz/v1".to_string(),
            base_url_env: Some("TOGETHER_AI_BASE_URL".to_string()),
            auth_style: "bearer".to_string(),
            auth_env: AuthEnv::Single("TOGETHER_AI_API_KEY".to_string()),
            chat_endpoint: "/chat/completions".to_string(),
            completion_endpoint: Some("/completions".to_string()),
            healthcheck: Some(HealthcheckDef {
                method: "GET".to_string(),
                path: Some("/models".to_string()),
                url: None,
                body: None,
            }),
            cost_per_1k_in: Some(0.0002),
            cost_per_1k_out: Some(0.0006),
            latency_p50_ms: Some(1600),
            ..Default::default()
        },
    );

    // Groq (OpenAI-compatible)
    config.providers.insert(
        "groq".to_string(),
        ProviderDef {
            base_url: "https://api.groq.com/openai/v1".to_string(),
            base_url_env: Some("GROQ_BASE_URL".to_string()),
            auth_style: "bearer".to_string(),
            auth_env: AuthEnv::Single("GROQ_API_KEY".to_string()),
            chat_endpoint: "/chat/completions".to_string(),
            completion_endpoint: Some("/completions".to_string()),
            healthcheck: Some(HealthcheckDef {
                method: "GET".to_string(),
                path: Some("/models".to_string()),
                url: None,
                body: None,
            }),
            cost_per_1k_in: Some(0.0001),
            cost_per_1k_out: Some(0.0003),
            latency_p50_ms: Some(450),
            ..Default::default()
        },
    );

    // DeepSeek (OpenAI-compatible)
    config.providers.insert(
        "deepseek".to_string(),
        ProviderDef {
            base_url: "https://api.deepseek.com/v1".to_string(),
            base_url_env: Some("DEEPSEEK_BASE_URL".to_string()),
            auth_style: "bearer".to_string(),
            auth_env: AuthEnv::Single("DEEPSEEK_API_KEY".to_string()),
            chat_endpoint: "/chat/completions".to_string(),
            completion_endpoint: Some("/completions".to_string()),
            healthcheck: Some(HealthcheckDef {
                method: "GET".to_string(),
                path: Some("/models".to_string()),
                url: None,
                body: None,
            }),
            cost_per_1k_in: Some(0.00014),
            cost_per_1k_out: Some(0.00028),
            latency_p50_ms: Some(1800),
            ..Default::default()
        },
    );

    // Fireworks (OpenAI-compatible open-weight hosting)
    config.providers.insert(
        "fireworks".to_string(),
        ProviderDef {
            base_url: "https://api.fireworks.ai/inference/v1".to_string(),
            base_url_env: Some("FIREWORKS_BASE_URL".to_string()),
            auth_style: "bearer".to_string(),
            auth_env: AuthEnv::Single("FIREWORKS_API_KEY".to_string()),
            chat_endpoint: "/chat/completions".to_string(),
            completion_endpoint: Some("/completions".to_string()),
            healthcheck: Some(HealthcheckDef {
                method: "GET".to_string(),
                path: Some("/models".to_string()),
                url: None,
                body: None,
            }),
            cost_per_1k_in: Some(0.0002),
            cost_per_1k_out: Some(0.0006),
            latency_p50_ms: Some(1400),
            ..Default::default()
        },
    );

    // Alibaba DashScope (OpenAI-compatible Qwen host)
    config.providers.insert(
        "dashscope".to_string(),
        ProviderDef {
            base_url: "https://dashscope-intl.aliyuncs.com/compatible-mode/v1".to_string(),
            base_url_env: Some("DASHSCOPE_BASE_URL".to_string()),
            auth_style: "bearer".to_string(),
            auth_env: AuthEnv::Single("DASHSCOPE_API_KEY".to_string()),
            chat_endpoint: "/chat/completions".to_string(),
            completion_endpoint: Some("/completions".to_string()),
            healthcheck: Some(HealthcheckDef {
                method: "GET".to_string(),
                path: Some("/models".to_string()),
                url: None,
                body: None,
            }),
            cost_per_1k_in: Some(0.0003),
            cost_per_1k_out: Some(0.0012),
            latency_p50_ms: Some(1600),
            ..Default::default()
        },
    );

    // AWS Bedrock Runtime. The provider shim resolves AWS credentials through
    // env vars, the selected/default profile, container credentials, or EC2
    // instance profile credentials, then signs Converse API calls with SigV4.
    config.providers.insert(
        "bedrock".to_string(),
        ProviderDef {
            base_url: String::new(),
            base_url_env: Some("BEDROCK_BASE_URL".to_string()),
            auth_style: "aws_sigv4".to_string(),
            auth_env: AuthEnv::None,
            chat_endpoint: "/model/{model}/converse".to_string(),
            features: vec!["native_tools".to_string()],
            latency_p50_ms: Some(2600),
            ..Default::default()
        },
    );

    // Azure OpenAI. The deployment name is routed in the URL; callers can
    // use the Harn model field as the deployment name or set
    // AZURE_OPENAI_DEPLOYMENT.
    config.providers.insert(
        "azure_openai".to_string(),
        ProviderDef {
            base_url: "https://{resource}.openai.azure.com".to_string(),
            base_url_env: Some("AZURE_OPENAI_ENDPOINT".to_string()),
            auth_style: "azure_openai".to_string(),
            auth_env: AuthEnv::Multiple(vec![
                "AZURE_OPENAI_API_KEY".to_string(),
                "AZURE_OPENAI_AD_TOKEN".to_string(),
                "AZURE_OPENAI_BEARER_TOKEN".to_string(),
            ]),
            chat_endpoint:
                "/openai/deployments/{deployment}/chat/completions?api-version={api_version}"
                    .to_string(),
            features: vec!["native_tools".to_string()],
            cost_per_1k_in: Some(0.0025),
            cost_per_1k_out: Some(0.010),
            latency_p50_ms: Some(1900),
            ..Default::default()
        },
    );

    // Google Vertex AI Gemini.
    config.providers.insert(
        "vertex".to_string(),
        ProviderDef {
            base_url: "https://aiplatform.googleapis.com/v1".to_string(),
            base_url_env: Some("VERTEX_AI_BASE_URL".to_string()),
            auth_style: "bearer".to_string(),
            auth_env: AuthEnv::Multiple(vec![
                "VERTEX_AI_ACCESS_TOKEN".to_string(),
                "GOOGLE_OAUTH_ACCESS_TOKEN".to_string(),
                "GOOGLE_APPLICATION_CREDENTIALS".to_string(),
            ]),
            chat_endpoint:
                "/projects/{project}/locations/{location}/publishers/google/models/{model}:generateContent"
                    .to_string(),
            features: vec!["native_tools".to_string()],
            cost_per_1k_in: Some(0.00125),
            cost_per_1k_out: Some(0.005),
            latency_p50_ms: Some(2100),
            ..Default::default()
        },
    );

    // Local OpenAI-compatible server
    config.providers.insert(
        "local".to_string(),
        ProviderDef {
            base_url: "http://localhost:8000".to_string(),
            base_url_env: Some("LOCAL_LLM_BASE_URL".to_string()),
            auth_style: "none".to_string(),
            chat_endpoint: "/v1/chat/completions".to_string(),
            completion_endpoint: Some("/v1/completions".to_string()),
            healthcheck: Some(HealthcheckDef {
                method: "GET".to_string(),
                path: Some("/v1/models".to_string()),
                url: None,
                body: None,
            }),
            cost_per_1k_in: Some(0.0),
            cost_per_1k_out: Some(0.0),
            latency_p50_ms: Some(900),
            ..Default::default()
        },
    );

    // llama.cpp / llama-server OpenAI-compatible server. This is separate
    // from `local` so capability rules can distinguish Qwen chat-template
    // thinking quirks from other local OpenAI-compatible hosts.
    config.providers.insert(
        "llamacpp".to_string(),
        ProviderDef {
            base_url: "http://127.0.0.1:8001".to_string(),
            base_url_env: Some("LLAMACPP_BASE_URL".to_string()),
            auth_style: "none".to_string(),
            chat_endpoint: "/v1/chat/completions".to_string(),
            completion_endpoint: Some("/v1/completions".to_string()),
            healthcheck: Some(HealthcheckDef {
                method: "GET".to_string(),
                path: Some("/v1/models".to_string()),
                url: None,
                body: None,
            }),
            cost_per_1k_in: Some(0.0),
            cost_per_1k_out: Some(0.0),
            latency_p50_ms: Some(900),
            ..Default::default()
        },
    );

    // Apple Silicon MLX OpenAI-compatible server. Harn owns readiness
    // probing; hosts that want script-based auto-start should launch the
    // process first, then call Harn again to verify readiness.
    config.providers.insert(
        "mlx".to_string(),
        ProviderDef {
            base_url: "http://127.0.0.1:8002".to_string(),
            base_url_env: Some("MLX_BASE_URL".to_string()),
            auth_style: "none".to_string(),
            chat_endpoint: "/v1/chat/completions".to_string(),
            completion_endpoint: Some("/v1/completions".to_string()),
            healthcheck: Some(HealthcheckDef {
                method: "GET".to_string(),
                path: Some("/v1/models".to_string()),
                url: None,
                body: None,
            }),
            cost_per_1k_in: Some(0.0),
            cost_per_1k_out: Some(0.0),
            latency_p50_ms: Some(900),
            ..Default::default()
        },
    );

    // vLLM OpenAI-compatible server.
    config.providers.insert(
        "vllm".to_string(),
        ProviderDef {
            base_url: "http://localhost:8000".to_string(),
            base_url_env: Some("VLLM_BASE_URL".to_string()),
            auth_style: "none".to_string(),
            chat_endpoint: "/v1/chat/completions".to_string(),
            completion_endpoint: Some("/v1/completions".to_string()),
            healthcheck: Some(HealthcheckDef {
                method: "GET".to_string(),
                path: Some("/v1/models".to_string()),
                url: None,
                body: None,
            }),
            cost_per_1k_in: Some(0.0),
            cost_per_1k_out: Some(0.0),
            latency_p50_ms: Some(800),
            ..Default::default()
        },
    );

    // HuggingFace Text Generation Inference OpenAI-compatible endpoint.
    config.providers.insert(
        "tgi".to_string(),
        ProviderDef {
            base_url: "http://localhost:8080".to_string(),
            base_url_env: Some("TGI_BASE_URL".to_string()),
            auth_style: "none".to_string(),
            chat_endpoint: "/v1/chat/completions".to_string(),
            completion_endpoint: Some("/v1/completions".to_string()),
            healthcheck: Some(HealthcheckDef {
                method: "GET".to_string(),
                path: Some("/health".to_string()),
                url: None,
                body: None,
            }),
            cost_per_1k_in: Some(0.0),
            cost_per_1k_out: Some(0.0),
            latency_p50_ms: Some(950),
            ..Default::default()
        },
    );

    // Default inference rules
    config.inference_rules = vec![
        InferenceRule {
            pattern: Some("claude-*".to_string()),
            contains: None,
            exact: None,
            provider: "anthropic".to_string(),
        },
        InferenceRule {
            pattern: Some("gpt-*".to_string()),
            contains: None,
            exact: None,
            provider: "openai".to_string(),
        },
        InferenceRule {
            pattern: Some("o1*".to_string()),
            contains: None,
            exact: None,
            provider: "openai".to_string(),
        },
        InferenceRule {
            pattern: Some("o3*".to_string()),
            contains: None,
            exact: None,
            provider: "openai".to_string(),
        },
        InferenceRule {
            pattern: Some("o4*".to_string()),
            contains: None,
            exact: None,
            provider: "openai".to_string(),
        },
        InferenceRule {
            pattern: Some("anthropic.claude-*".to_string()),
            contains: None,
            exact: None,
            provider: "bedrock".to_string(),
        },
        InferenceRule {
            pattern: Some("meta.llama*".to_string()),
            contains: None,
            exact: None,
            provider: "bedrock".to_string(),
        },
        InferenceRule {
            pattern: Some("amazon.*".to_string()),
            contains: None,
            exact: None,
            provider: "bedrock".to_string(),
        },
        InferenceRule {
            pattern: Some("mistral.*".to_string()),
            contains: None,
            exact: None,
            provider: "bedrock".to_string(),
        },
        InferenceRule {
            pattern: Some("cohere.*".to_string()),
            contains: None,
            exact: None,
            provider: "bedrock".to_string(),
        },
        InferenceRule {
            pattern: Some("gemini-*".to_string()),
            contains: None,
            exact: None,
            provider: "gemini".to_string(),
        },
    ];

    // Default tier rules
    config.tier_rules = vec![
        TierRule {
            contains: Some("9b".to_string()),
            pattern: None,
            exact: None,
            tier: "small".to_string(),
        },
        TierRule {
            contains: Some("a3b".to_string()),
            pattern: None,
            exact: None,
            tier: "small".to_string(),
        },
        TierRule {
            contains: Some("gemma-4-e2b".to_string()),
            pattern: None,
            exact: None,
            tier: "small".to_string(),
        },
        TierRule {
            contains: Some("gemma-4-e4b".to_string()),
            pattern: None,
            exact: None,
            tier: "small".to_string(),
        },
        TierRule {
            contains: Some("gemma-4-26b".to_string()),
            pattern: None,
            exact: None,
            tier: "mid".to_string(),
        },
        TierRule {
            contains: Some("gemma-4-31b".to_string()),
            pattern: None,
            exact: None,
            tier: "frontier".to_string(),
        },
        TierRule {
            contains: Some("gemma4:26b".to_string()),
            pattern: None,
            exact: None,
            tier: "mid".to_string(),
        },
        TierRule {
            contains: Some("gemma4:31b".to_string()),
            pattern: None,
            exact: None,
            tier: "frontier".to_string(),
        },
        TierRule {
            pattern: Some("claude-*".to_string()),
            contains: None,
            exact: None,
            tier: "frontier".to_string(),
        },
        TierRule {
            exact: Some("gpt-4o".to_string()),
            contains: None,
            pattern: None,
            tier: "frontier".to_string(),
        },
    ];

    config.tier_defaults = TierDefaults {
        default: "mid".to_string(),
    };

    config.aliases.insert(
        "frontier".to_string(),
        AliasDef {
            id: "claude-sonnet-4-20250514".to_string(),
            provider: "anthropic".to_string(),
            tool_format: None,
        },
    );
    config.aliases.insert(
        "tier/frontier".to_string(),
        AliasDef {
            id: "claude-sonnet-4-20250514".to_string(),
            provider: "anthropic".to_string(),
            tool_format: None,
        },
    );
    config.aliases.insert(
        "mid".to_string(),
        AliasDef {
            id: "gpt-4o-mini".to_string(),
            provider: "openai".to_string(),
            tool_format: None,
        },
    );
    config.aliases.insert(
        "tier/mid".to_string(),
        AliasDef {
            id: "gpt-4o-mini".to_string(),
            provider: "openai".to_string(),
            tool_format: None,
        },
    );
    config.aliases.insert(
        "small".to_string(),
        AliasDef {
            id: "Qwen/Qwen3.5-9B".to_string(),
            provider: "openrouter".to_string(),
            tool_format: None,
        },
    );
    config.aliases.insert(
        "tier/small".to_string(),
        AliasDef {
            id: "Qwen/Qwen3.5-9B".to_string(),
            provider: "openrouter".to_string(),
            tool_format: None,
        },
    );
    config.aliases.insert(
        "local-gemma4".to_string(),
        AliasDef {
            id: "gemma-4-26b-a4b-it".to_string(),
            provider: "local".to_string(),
            tool_format: None,
        },
    );
    config.aliases.insert(
        "local-gemma4-26b".to_string(),
        AliasDef {
            id: "gemma-4-26b-a4b-it".to_string(),
            provider: "local".to_string(),
            tool_format: None,
        },
    );
    config.aliases.insert(
        "local-gemma4-31b".to_string(),
        AliasDef {
            id: "gemma-4-31b-it".to_string(),
            provider: "local".to_string(),
            tool_format: None,
        },
    );
    config.aliases.insert(
        "local-gemma4-e4b".to_string(),
        AliasDef {
            id: "gemma-4-e4b-it".to_string(),
            provider: "local".to_string(),
            tool_format: None,
        },
    );
    config.aliases.insert(
        "local-gemma4-e2b".to_string(),
        AliasDef {
            id: "gemma-4-e2b-it".to_string(),
            provider: "local".to_string(),
            tool_format: None,
        },
    );
    config.aliases.insert(
        "mlx-qwen36-27b".to_string(),
        AliasDef {
            id: "unsloth/Qwen3.6-27B-UD-MLX-4bit".to_string(),
            provider: "mlx".to_string(),
            tool_format: None,
        },
    );

    config.qc_defaults.extend(BTreeMap::from([
        (
            "anthropic".to_string(),
            "claude-3-5-haiku-20241022".to_string(),
        ),
        ("openai".to_string(), "gpt-4o-mini".to_string()),
        (
            "openrouter".to_string(),
            "google/gemini-2.5-flash".to_string(),
        ),
        ("ollama".to_string(), "llama3.2".to_string()),
        ("local".to_string(), "gpt-4o".to_string()),
    ]));

    config.models.extend(BTreeMap::from([
        (
            "claude-sonnet-4-20250514".to_string(),
            ModelDef {
                name: "Claude Sonnet 4".to_string(),
                provider: "anthropic".to_string(),
                context_window: 200_000,
                runtime_context_window: None,
                stream_timeout: None,
                capabilities: vec![
                    "tools".to_string(),
                    "streaming".to_string(),
                    "prompt_caching".to_string(),
                    "thinking".to_string(),
                ],
                pricing: Some(ModelPricing {
                    input_per_mtok: 3.0,
                    output_per_mtok: 15.0,
                    cache_read_per_mtok: Some(0.3),
                    cache_write_per_mtok: Some(3.75),
                }),
            },
        ),
        (
            "gpt-4o-mini".to_string(),
            ModelDef {
                name: "GPT-4o Mini".to_string(),
                provider: "openai".to_string(),
                context_window: 128_000,
                runtime_context_window: None,
                stream_timeout: None,
                capabilities: vec!["tools".to_string(), "streaming".to_string()],
                pricing: Some(ModelPricing {
                    input_per_mtok: 0.15,
                    output_per_mtok: 0.60,
                    cache_read_per_mtok: None,
                    cache_write_per_mtok: None,
                }),
            },
        ),
        (
            "Qwen/Qwen3.5-9B".to_string(),
            ModelDef {
                name: "Qwen3.5 9B".to_string(),
                provider: "openrouter".to_string(),
                context_window: 131_072,
                runtime_context_window: None,
                stream_timeout: None,
                capabilities: vec!["tools".to_string(), "streaming".to_string()],
                pricing: None,
            },
        ),
        (
            "llama3.2".to_string(),
            ModelDef {
                name: "Llama 3.2".to_string(),
                provider: "ollama".to_string(),
                context_window: 32_000,
                runtime_context_window: None,
                stream_timeout: Some(300.0),
                capabilities: vec!["tools".to_string(), "streaming".to_string()],
                pricing: None,
            },
        ),
    ]));

    config.models.extend(canonical_priced_models());

    config
}

/// Canonical hosted-model pricing entries (USD per 1M tokens). Provenance: the
/// public Anthropic, OpenAI, Google Gemini, and Mistral pricing pages snapshot
/// at 2026-01. These replace the previous `model_pricing_per_million` Rust
/// fallback table that lived in `llm/cost.rs` and could silently drift; if a
/// listed rate changes, edit the literal here so the change shows up in `git
/// blame`. Users can override or extend the table per environment via
/// `HARN_PROVIDERS_CONFIG` or `harn.toml`.
fn canonical_priced_models() -> BTreeMap<String, ModelDef> {
    let mut out = BTreeMap::new();
    let anthropic_caps = vec![
        "tools".to_string(),
        "streaming".to_string(),
        "prompt_caching".to_string(),
        "thinking".to_string(),
    ];
    let openai_caps = vec!["tools".to_string(), "streaming".to_string()];
    let gemini_caps = vec!["tools".to_string(), "streaming".to_string()];

    let mut anthropic = |id: &str,
                         name: &str,
                         context_window: u64,
                         input: f64,
                         output: f64,
                         cache_read: Option<f64>,
                         cache_write: Option<f64>| {
        out.insert(
            id.to_string(),
            ModelDef {
                name: name.to_string(),
                provider: "anthropic".to_string(),
                context_window,
                runtime_context_window: None,
                stream_timeout: None,
                capabilities: anthropic_caps.clone(),
                pricing: Some(ModelPricing {
                    input_per_mtok: input,
                    output_per_mtok: output,
                    cache_read_per_mtok: cache_read,
                    cache_write_per_mtok: cache_write,
                }),
            },
        );
    };
    anthropic(
        "claude-3-5-haiku-20241022",
        "Claude Haiku 3.5",
        200_000,
        0.80,
        4.00,
        Some(0.08),
        Some(1.00),
    );
    anthropic(
        "claude-haiku-4-5-20251001",
        "Claude Haiku 4.5",
        200_000,
        1.00,
        5.00,
        Some(0.10),
        Some(1.25),
    );
    anthropic(
        "claude-3-5-sonnet-20240620",
        "Claude Sonnet 3.5 (2024-06-20)",
        200_000,
        3.00,
        15.00,
        Some(0.30),
        Some(3.75),
    );
    anthropic(
        "claude-3-5-sonnet-20241022",
        "Claude Sonnet 3.5 (2024-10-22)",
        200_000,
        3.00,
        15.00,
        Some(0.30),
        Some(3.75),
    );
    anthropic(
        "claude-3-opus-20240229",
        "Claude Opus 3",
        200_000,
        15.00,
        75.00,
        Some(1.50),
        Some(18.75),
    );
    anthropic(
        "claude-opus-4-20250514",
        "Claude Opus 4",
        200_000,
        15.00,
        75.00,
        Some(1.50),
        Some(18.75),
    );
    anthropic(
        "claude-opus-4-1-20250805",
        "Claude Opus 4.1",
        200_000,
        15.00,
        75.00,
        Some(1.50),
        Some(18.75),
    );

    let mut openai = |id: &str,
                      name: &str,
                      context_window: u64,
                      input: f64,
                      output: f64,
                      cache_read: Option<f64>| {
        out.insert(
            id.to_string(),
            ModelDef {
                name: name.to_string(),
                provider: "openai".to_string(),
                context_window,
                runtime_context_window: None,
                stream_timeout: None,
                capabilities: openai_caps.clone(),
                pricing: Some(ModelPricing {
                    input_per_mtok: input,
                    output_per_mtok: output,
                    cache_read_per_mtok: cache_read,
                    cache_write_per_mtok: None,
                }),
            },
        );
    };
    openai("gpt-4o", "GPT-4o", 128_000, 2.50, 10.00, Some(1.25));
    openai("gpt-4-turbo", "GPT-4 Turbo", 128_000, 10.00, 30.00, None);
    openai("o1", "OpenAI o1", 200_000, 15.00, 60.00, Some(7.50));
    openai(
        "o1-mini",
        "OpenAI o1-mini",
        128_000,
        3.00,
        12.00,
        Some(1.50),
    );
    openai("o3", "OpenAI o3", 200_000, 15.00, 60.00, Some(7.50));
    openai("o3-mini", "OpenAI o3-mini", 200_000, 1.10, 4.40, Some(0.55));

    let mut gemini = |id: &str,
                      name: &str,
                      context_window: u64,
                      input: f64,
                      output: f64,
                      cache_read: Option<f64>| {
        out.insert(
            id.to_string(),
            ModelDef {
                name: name.to_string(),
                provider: "gemini".to_string(),
                context_window,
                runtime_context_window: None,
                stream_timeout: None,
                capabilities: gemini_caps.clone(),
                pricing: Some(ModelPricing {
                    input_per_mtok: input,
                    output_per_mtok: output,
                    cache_read_per_mtok: cache_read,
                    cache_write_per_mtok: None,
                }),
            },
        );
    };
    gemini(
        "gemini-2.5-flash",
        "Gemini 2.5 Flash",
        1_048_576,
        0.10,
        0.40,
        Some(0.025),
    );
    gemini(
        "gemini-2.5-pro",
        "Gemini 2.5 Pro",
        2_097_152,
        1.25,
        5.00,
        Some(0.3125),
    );

    out.insert(
        "mistral-large-latest".to_string(),
        ModelDef {
            name: "Mistral Large".to_string(),
            provider: "openrouter".to_string(),
            context_window: 128_000,
            runtime_context_window: None,
            stream_timeout: None,
            capabilities: openai_caps.clone(),
            pricing: Some(ModelPricing {
                input_per_mtok: 2.00,
                output_per_mtok: 6.00,
                cache_read_per_mtok: None,
                cache_write_per_mtok: None,
            }),
        },
    );
    out.insert(
        "mistral-small-latest".to_string(),
        ModelDef {
            name: "Mistral Small".to_string(),
            provider: "openrouter".to_string(),
            context_window: 128_000,
            runtime_context_window: None,
            stream_timeout: None,
            capabilities: openai_caps,
            pricing: Some(ModelPricing {
                input_per_mtok: 0.20,
                output_per_mtok: 0.60,
                cache_read_per_mtok: None,
                cache_write_per_mtok: None,
            }),
        },
    );
    out
}

#[cfg(test)]
fn merge_global_config(overlay: ProvidersConfig) -> ProvidersConfig {
    let mut config = default_config();
    config.merge_from(&overlay);
    config
}

#[cfg(test)]
mod tests {
    use super::*;

    fn reset_overrides() {
        clear_user_overrides();
    }

    #[test]
    fn test_glob_match_prefix() {
        assert!(glob_match("claude-*", "claude-sonnet-4-20250514"));
        assert!(glob_match("gpt-*", "gpt-4o"));
        assert!(!glob_match("claude-*", "gpt-4o"));
    }

    #[test]
    fn test_glob_match_suffix() {
        assert!(glob_match("*-latest", "llama3.2-latest"));
        assert!(!glob_match("*-latest", "llama3.2"));
    }

    #[test]
    fn test_glob_match_middle() {
        assert!(glob_match("claude-*-latest", "claude-sonnet-latest"));
        assert!(!glob_match("claude-*-latest", "claude-sonnet-beta"));
    }

    #[test]
    fn test_glob_match_exact() {
        assert!(glob_match("gpt-4o", "gpt-4o"));
        assert!(!glob_match("gpt-4o", "gpt-4o-mini"));
    }

    #[test]
    fn test_infer_provider_from_defaults() {
        let _guard = crate::llm::env_lock().lock().expect("env lock");
        let prev_default_provider = std::env::var("HARN_DEFAULT_PROVIDER").ok();
        unsafe {
            std::env::remove_var("HARN_DEFAULT_PROVIDER");
        }

        assert_eq!(infer_provider("claude-sonnet-4-20250514"), "anthropic");
        assert_eq!(infer_provider("gpt-4o"), "openai");
        assert_eq!(infer_provider("o1-preview"), "openai");
        assert_eq!(infer_provider("o3-mini"), "openai");
        assert_eq!(infer_provider("o4-mini"), "openai");
        assert_eq!(infer_provider("gemini-2.5-pro"), "gemini");
        assert_eq!(infer_provider("qwen/qwen3-coder"), "openrouter");
        assert_eq!(infer_provider("llama3.2:latest"), "ollama");
        assert_eq!(infer_provider("unknown-model"), "anthropic");

        unsafe {
            match prev_default_provider {
                Some(value) => std::env::set_var("HARN_DEFAULT_PROVIDER", value),
                None => std::env::remove_var("HARN_DEFAULT_PROVIDER"),
            }
        }
    }

    #[test]
    fn test_infer_provider_prefix_rules() {
        assert_eq!(infer_provider("local:gemma-4-e4b-it"), "ollama");
        assert_eq!(infer_provider("ollama:qwen3:30b-a3b"), "ollama");
        // Even when the id also contains `/`, the local transport prefix wins.
        assert_eq!(infer_provider("local:owner/model"), "ollama");
        assert_eq!(infer_provider("hf:Qwen/Qwen3.6-35B-A3B"), "huggingface");
    }

    #[test]
    fn test_openrouter_inference_requires_one_slash() {
        let _guard = crate::llm::env_lock().lock().expect("env lock");
        let prev_default_provider = std::env::var("HARN_DEFAULT_PROVIDER").ok();
        unsafe {
            std::env::remove_var("HARN_DEFAULT_PROVIDER");
        }

        assert_eq!(infer_provider("org/model"), "openrouter");
        assert_eq!(infer_provider("org/team/model"), "anthropic");

        unsafe {
            match prev_default_provider {
                Some(value) => std::env::set_var("HARN_DEFAULT_PROVIDER", value),
                None => std::env::remove_var("HARN_DEFAULT_PROVIDER"),
            }
        }
    }

    #[test]
    fn test_resolve_model_info_normalizes_provider_prefixes() {
        let local = resolve_model_info("local:gemma-4-e4b-it");
        assert_eq!(local.id, "gemma-4-e4b-it");
        assert_eq!(local.provider, "ollama");

        let ollama = resolve_model_info("ollama:qwen3:30b-a3b");
        assert_eq!(ollama.id, "qwen3:30b-a3b");
        assert_eq!(ollama.provider, "ollama");

        let hf = resolve_model_info("hf:Qwen/Qwen3.6-35B-A3B");
        assert_eq!(hf.id, "Qwen/Qwen3.6-35B-A3B");
        assert_eq!(hf.provider, "huggingface");
    }

    #[test]
    fn test_model_tier_from_defaults() {
        assert_eq!(model_tier("claude-sonnet-4-20250514"), "frontier");
        assert_eq!(model_tier("gpt-4o"), "frontier");
        assert_eq!(model_tier("Qwen3.5-9B"), "small");
        assert_eq!(model_tier("deepseek-v3"), "mid");
    }

    #[test]
    fn test_resolve_model_unknown_alias() {
        let (id, provider) = resolve_model("gpt-4o");
        assert_eq!(id, "gpt-4o");
        assert!(provider.is_none());
    }

    #[test]
    fn test_provider_names() {
        let names = provider_names();
        assert!(names.len() >= 7);
        assert!(names.contains(&"anthropic".to_string()));
        assert!(names.contains(&"together".to_string()));
        assert!(names.contains(&"local".to_string()));
        assert!(names.contains(&"mlx".to_string()));
        assert!(names.contains(&"openai".to_string()));
        assert!(names.contains(&"ollama".to_string()));
        assert!(names.contains(&"bedrock".to_string()));
        assert!(names.contains(&"azure_openai".to_string()));
        assert!(names.contains(&"vertex".to_string()));
    }

    #[test]
    fn global_provider_file_is_an_overlay_on_builtin_defaults() {
        let mut overlay = ProvidersConfig {
            default_provider: Some("ollama".to_string()),
            ..Default::default()
        };
        overlay.aliases.insert(
            "quickstart".to_string(),
            AliasDef {
                id: "llama3.2".to_string(),
                provider: "ollama".to_string(),
                tool_format: None,
            },
        );

        let merged = merge_global_config(overlay);

        assert_eq!(merged.default_provider.as_deref(), Some("ollama"));
        assert!(merged.providers.contains_key("anthropic"));
        assert!(merged.providers.contains_key("ollama"));
        assert_eq!(merged.aliases["quickstart"].id, "llama3.2");
    }

    #[test]
    fn test_resolve_tier_model_default_aliases() {
        let (model, provider) = resolve_tier_model("frontier", None).unwrap();
        assert_eq!(model, "claude-sonnet-4-20250514");
        assert_eq!(provider, "anthropic");

        let (model, provider) = resolve_tier_model("small", None).unwrap();
        assert_eq!(model, "Qwen/Qwen3.5-9B");
        assert_eq!(provider, "openrouter");
    }

    #[test]
    fn test_resolve_tier_model_prefers_provider_scoped_aliases() {
        let (model, provider) = resolve_tier_model("mid", Some("openai")).unwrap();
        assert_eq!(model, "gpt-4o-mini");
        assert_eq!(provider, "openai");
    }

    #[test]
    fn test_provider_config_anthropic() {
        let pdef = provider_config("anthropic").unwrap();
        assert_eq!(pdef.auth_style, "header");
        assert_eq!(pdef.auth_header.as_deref(), Some("x-api-key"));
    }

    #[test]
    fn test_provider_config_mlx() {
        let pdef = provider_config("mlx").unwrap();
        assert_eq!(pdef.base_url, "http://127.0.0.1:8002");
        assert_eq!(pdef.base_url_env.as_deref(), Some("MLX_BASE_URL"));
        assert_eq!(
            pdef.healthcheck.unwrap().path.as_deref(),
            Some("/v1/models")
        );

        let (model, provider) = resolve_model("mlx-qwen36-27b");
        assert_eq!(model, "unsloth/Qwen3.6-27B-UD-MLX-4bit");
        assert_eq!(provider.as_deref(), Some("mlx"));
    }

    #[test]
    fn test_enterprise_provider_defaults_and_inference() {
        let bedrock = provider_config("bedrock").unwrap();
        assert_eq!(bedrock.auth_style, "aws_sigv4");
        assert_eq!(bedrock.base_url_env.as_deref(), Some("BEDROCK_BASE_URL"));
        assert_eq!(
            infer_provider("anthropic.claude-3-5-sonnet-20240620-v1:0"),
            "bedrock"
        );
        assert_eq!(infer_provider("meta.llama3-70b-instruct-v1:0"), "bedrock");

        let azure = provider_config("azure_openai").unwrap();
        assert_eq!(azure.base_url_env.as_deref(), Some("AZURE_OPENAI_ENDPOINT"));
        assert_eq!(
            auth_env_names(&azure.auth_env),
            vec![
                "AZURE_OPENAI_API_KEY".to_string(),
                "AZURE_OPENAI_AD_TOKEN".to_string(),
                "AZURE_OPENAI_BEARER_TOKEN".to_string(),
            ]
        );

        let vertex = provider_config("vertex").unwrap();
        assert_eq!(vertex.base_url, "https://aiplatform.googleapis.com/v1");
        assert_eq!(infer_provider("gemini-1.5-pro-002"), "gemini");
    }

    #[test]
    fn test_default_provider_env_override_for_unknown_model() {
        let _guard = crate::llm::env_lock().lock().expect("env lock");
        let prev_default_provider = std::env::var("HARN_DEFAULT_PROVIDER").ok();
        unsafe {
            std::env::set_var("HARN_DEFAULT_PROVIDER", "openai");
        }

        let inference = infer_provider_detail("unknown-model");

        unsafe {
            match prev_default_provider {
                Some(value) => std::env::set_var("HARN_DEFAULT_PROVIDER", value),
                None => std::env::remove_var("HARN_DEFAULT_PROVIDER"),
            }
        }

        assert_eq!(inference.provider, "openai");
        assert_eq!(
            inference.source,
            crate::llm::provider::ProviderInferenceSource::DefaultFallback
        );
    }

    #[test]
    fn test_resolve_base_url_no_env() {
        let pdef = ProviderDef {
            base_url: "https://example.com".to_string(),
            ..Default::default()
        };
        assert_eq!(resolve_base_url(&pdef), "https://example.com");
    }

    #[test]
    fn test_default_config_roundtrip() {
        let config = default_config();
        assert!(!config.providers.is_empty());
        assert!(!config.inference_rules.is_empty());
        assert!(!config.tier_rules.is_empty());
        assert_eq!(config.tier_defaults.default, "mid");
    }

    #[test]
    fn test_external_config_overlays_default_catalog() {
        let mut config = default_config();
        let mut overlay = ProvidersConfig {
            default_provider: Some("ollama".to_string()),
            ..Default::default()
        };
        overlay.providers.insert(
            "custom".to_string(),
            ProviderDef {
                base_url: "https://llm.example.test/v1".to_string(),
                chat_endpoint: "/chat/completions".to_string(),
                ..Default::default()
            },
        );

        config.merge_from(&overlay);

        assert_eq!(config.default_provider.as_deref(), Some("ollama"));
        assert!(config.providers.contains_key("custom"));
        assert!(config.providers.contains_key("anthropic"));
        assert!(config.providers.contains_key("ollama"));
    }

    #[test]
    fn test_model_params_empty() {
        let params = model_params("claude-sonnet-4-20250514");
        assert!(params.is_empty());
    }

    #[test]
    fn test_user_overrides_add_provider_and_alias() {
        reset_overrides();
        let mut overlay = ProvidersConfig::default();
        overlay.providers.insert(
            "acme".to_string(),
            ProviderDef {
                base_url: "https://llm.acme.test/v1".to_string(),
                chat_endpoint: "/chat/completions".to_string(),
                ..Default::default()
            },
        );
        overlay.aliases.insert(
            "acme-fast".to_string(),
            AliasDef {
                id: "acme/model-fast".to_string(),
                provider: "acme".to_string(),
                tool_format: Some("native".to_string()),
            },
        );
        set_user_overrides(Some(overlay));

        let (model, provider) = resolve_model("acme-fast");
        assert_eq!(model, "acme/model-fast");
        assert_eq!(provider.as_deref(), Some("acme"));
        assert!(provider_names().contains(&"acme".to_string()));
        assert_eq!(
            provider_config("acme").map(|provider| provider.base_url),
            Some("https://llm.acme.test/v1".to_string())
        );

        reset_overrides();
    }

    #[test]
    fn test_default_tool_format_uses_capability_matrix() {
        reset_overrides();

        assert_eq!(
            default_tool_format("qwen3.6-35b-a3b-ud-q4-k-xl", "llamacpp"),
            "native"
        );
        assert_eq!(default_tool_format("gemma-4-26b-a4b-it", "local"), "text");
    }

    #[test]
    fn test_user_overrides_add_model_catalog_pricing_and_qc_defaults() {
        reset_overrides();
        let mut overlay = ProvidersConfig::default();
        overlay.models.insert(
            "acme/model-fast".to_string(),
            ModelDef {
                name: "Acme Fast".to_string(),
                provider: "acme".to_string(),
                context_window: 65_536,
                runtime_context_window: None,
                stream_timeout: Some(42.0),
                capabilities: vec!["tools".to_string(), "streaming".to_string()],
                pricing: Some(ModelPricing {
                    input_per_mtok: 1.25,
                    output_per_mtok: 2.5,
                    cache_read_per_mtok: Some(0.25),
                    cache_write_per_mtok: None,
                }),
            },
        );
        overlay
            .qc_defaults
            .insert("acme".to_string(), "acme/model-cheap".to_string());
        set_user_overrides(Some(overlay));

        let entry = model_catalog_entry("acme/model-fast").expect("catalog entry");
        assert_eq!(entry.context_window, 65_536);
        assert_eq!(entry.capabilities, vec!["streaming".to_string()]);
        assert_eq!(
            entry.pricing.as_ref().map(|pricing| pricing.input_per_mtok),
            Some(1.25)
        );
        assert_eq!(
            pricing_per_1k_for("acme", "acme/model-fast"),
            Some((0.00125, 0.0025))
        );
        assert_eq!(
            qc_default_model("acme").as_deref(),
            Some("acme/model-cheap")
        );

        reset_overrides();
    }

    #[test]
    fn test_user_overrides_prepend_inference_rules() {
        reset_overrides();
        let mut overlay = ProvidersConfig::default();
        overlay.inference_rules.push(InferenceRule {
            pattern: Some("internal-*".to_string()),
            contains: None,
            exact: None,
            provider: "openai".to_string(),
        });
        set_user_overrides(Some(overlay));

        assert_eq!(infer_provider("internal-foo"), "openai");

        reset_overrides();
    }
}