/**
 * Model resolution, scoping, and initial selection
 */
import { modelsAreEqual, } from "@earendil-works/pi-ai";
import chalk from "chalk";
import { minimatch } from "minimatch";
import { isValidThinkingLevel } from "../cli/args.js";
import { DEFAULT_THINKING_LEVEL } from "./defaults.js";
/** Default model IDs for each known provider */
export const defaultModelPerProvider = {
    "amazon-bedrock": "us.anthropic.claude-opus-4-6-v1",
    "ant-ling": "Ring-2.6-1T",
    anthropic: "claude-opus-4-8",
    openai: "gpt-5.5",
    "azure-openai-responses": "gpt-5.4",
    "openai-codex": "gpt-5.5",
    radius: "auto",
    nvidia: "nvidia/nemotron-3-super-120b-a12b",
    deepseek: "deepseek-v4-pro",
    google: "gemini-3.1-pro-preview",
    "google-vertex": "gemini-3.1-pro-preview",
    "github-copilot": "gpt-5.4",
    openrouter: "moonshotai/kimi-k2.6",
    "vercel-ai-gateway": "zai/glm-5.1",
    xai: "grok-4.6",
    groq: "openai/gpt-oss-120b",
    cerebras: "gpt-oss-120b",
    zai: "glm-5.3",
    "zai-coding-cn": "glm-5.3",
    mistral: "devstral-medium-latest",
    minimax: "MiniMax-M2.7",
    "minimax-cn": "MiniMax-M2.7",
    moonshotai: "kimi-k2.6",
    "moonshotai-cn": "kimi-k2.6",
    huggingface: "moonshotai/Kimi-K2.6",
    fireworks: "accounts/fireworks/models/kimi-k2p6",
    together: "moonshotai/Kimi-K2.6",
    baseten: "zai-org/GLM-5.2",
    opencode: "kimi-k2.6",
    "opencode-go": "kimi-k2.6",
    "kimi-coding": "kimi-for-coding",
    "cloudflare-workers-ai": "@cf/moonshotai/kimi-k2.6",
    "cloudflare-ai-gateway": "workers-ai/@cf/moonshotai/kimi-k2.6",
    "qwen-token-plan": "qwen3.7-max",
    "qwen-token-plan-cn": "qwen3.7-max",
    "qwen-token-plan-individual": "qwen3.8-max",
    xiaomi: "mimo-v2.5-pro",
    "xiaomi-token-plan-cn": "mimo-v2.5-pro",
    "xiaomi-token-plan-ams": "mimo-v2.5-pro",
    "xiaomi-token-plan-sgp": "mimo-v2.5-pro",
};
/**
 * Helper to check if a model ID looks like an alias (no date suffix)
 * Dates are typically in format: -20241022 or -20250929
 */
function isAlias(id) {
    // Check if ID ends with -latest
    if (id.endsWith("-latest"))
        return true;
    // Check if ID ends with a date pattern (-YYYYMMDD)
    const datePattern = /-\d{8}$/;
    return !datePattern.test(id);
}
/**
 * Find an exact model reference match.
 * Supports either a bare model id or a canonical provider/modelId reference.
 * When matching by bare id, ambiguous matches across providers are rejected.
 */
export function findExactModelReferenceMatch(modelReference, availableModels) {
    const trimmedReference = modelReference.trim();
    if (!trimmedReference) {
        return undefined;
    }
    const normalizedReference = trimmedReference.toLowerCase();
    const canonicalMatches = availableModels.filter((model) => `${model.provider}/${model.id}`.toLowerCase() === normalizedReference);
    if (canonicalMatches.length === 1) {
        return canonicalMatches[0];
    }
    if (canonicalMatches.length > 1) {
        return undefined;
    }
    const slashIndex = trimmedReference.indexOf("/");
    if (slashIndex !== -1) {
        const provider = trimmedReference.substring(0, slashIndex).trim();
        const modelId = trimmedReference.substring(slashIndex + 1).trim();
        if (provider && modelId) {
            const providerMatches = availableModels.filter((model) => model.provider.toLowerCase() === provider.toLowerCase() &&
                model.id.toLowerCase() === modelId.toLowerCase());
            if (providerMatches.length === 1) {
                return providerMatches[0];
            }
            if (providerMatches.length > 1) {
                return undefined;
            }
        }
    }
    const idMatches = availableModels.filter((model) => model.id.toLowerCase() === normalizedReference);
    return idMatches.length === 1 ? idMatches[0] : undefined;
}
/**
 * Try to match a pattern to a model from the available models list.
 * Returns the matched model or undefined if no match found.
 */
function tryMatchModel(modelPattern, availableModels) {
    const exactMatch = findExactModelReferenceMatch(modelPattern, availableModels);
    if (exactMatch) {
        return exactMatch;
    }
    // No exact match - fall back to partial matching
    const matches = availableModels.filter((m) => m.id.toLowerCase().includes(modelPattern.toLowerCase()) ||
        m.name?.toLowerCase().includes(modelPattern.toLowerCase()));
    if (matches.length === 0) {
        return undefined;
    }
    // Separate into aliases and dated versions
    const aliases = matches.filter((m) => isAlias(m.id));
    const datedVersions = matches.filter((m) => !isAlias(m.id));
    if (aliases.length > 0) {
        // Prefer alias - if multiple aliases, pick the one that sorts highest
        aliases.sort((a, b) => b.id.localeCompare(a.id));
        return aliases[0];
    }
    else {
        // No alias found, pick latest dated version
        datedVersions.sort((a, b) => b.id.localeCompare(a.id));
        return datedVersions[0];
    }
}
function buildFallbackModel(provider, modelId, availableModels) {
    const providerModels = availableModels.filter((m) => m.provider === provider);
    if (providerModels.length === 0)
        return undefined;
    const defaultId = defaultModelPerProvider[provider];
    const baseModel = defaultId
        ? (providerModels.find((m) => m.id === defaultId) ?? providerModels[0])
        : providerModels[0];
    return {
        ...baseModel,
        id: modelId,
        name: modelId,
    };
}
/**
 * Parse a pattern to extract model and thinking level.
 * Handles models with colons in their IDs (e.g., OpenRouter's :exacto suffix).
 *
 * Algorithm:
 * 1. Try to match full pattern as a model
 * 2. If found, return it with "off" thinking level
 * 3. If not found and has colons, split on last colon:
 *    - If suffix is valid thinking level, use it and recurse on prefix
 *    - If suffix is invalid, warn and recurse on prefix with "off"
 *
 * @internal Exported for testing
 */
export function parseModelPattern(pattern, availableModels, options) {
    // Try exact match first
    const exactMatch = tryMatchModel(pattern, availableModels);
    if (exactMatch) {
        return { model: exactMatch, thinkingLevel: undefined, warning: undefined };
    }
    // No match - try splitting on last colon if present
    const lastColonIndex = pattern.lastIndexOf(":");
    if (lastColonIndex === -1) {
        // No colons, pattern simply doesn't match any model
        return { model: undefined, thinkingLevel: undefined, warning: undefined };
    }
    const prefix = pattern.substring(0, lastColonIndex);
    const suffix = pattern.substring(lastColonIndex + 1);
    if (isValidThinkingLevel(suffix)) {
        // Valid thinking level - recurse on prefix and use this level
        const result = parseModelPattern(prefix, availableModels, options);
        if (result.model) {
            // Only use this thinking level if no warning from inner recursion
            return {
                model: result.model,
                thinkingLevel: result.warning ? undefined : suffix,
                warning: result.warning,
            };
        }
        return result;
    }
    else {
        // Invalid suffix
        const allowFallback = options?.allowInvalidThinkingLevelFallback ?? true;
        if (!allowFallback) {
            // In strict mode (CLI --model parsing), treat it as part of the model id and fail.
            // This avoids accidentally resolving to a different model.
            return { model: undefined, thinkingLevel: undefined, warning: undefined };
        }
        // Scope mode: recurse on prefix and warn
        const result = parseModelPattern(prefix, availableModels, options);
        if (result.model) {
            return {
                model: result.model,
                thinkingLevel: undefined,
                warning: `Invalid thinking level "${suffix}" in pattern "${pattern}". Using default instead.`,
            };
        }
        return result;
    }
}
export function resolveModelScopeFromModels(patterns, models) {
    const availableModels = [...models];
    const scopedModels = [];
    const diagnostics = [];
    for (const pattern of patterns) {
        // Check if pattern contains glob characters
        if (pattern.includes("*") || pattern.includes("?") || pattern.includes("[")) {
            // Extract optional thinking level suffix (e.g., "provider/*:high")
            const colonIdx = pattern.lastIndexOf(":");
            let globPattern = pattern;
            let thinkingLevel;
            if (colonIdx !== -1) {
                const suffix = pattern.substring(colonIdx + 1);
                if (isValidThinkingLevel(suffix)) {
                    thinkingLevel = suffix;
                    globPattern = pattern.substring(0, colonIdx);
                }
            }
            const exactMatch = findExactModelReferenceMatch(globPattern, availableModels);
            if (exactMatch) {
                if (!scopedModels.find((sm) => modelsAreEqual(sm.model, exactMatch))) {
                    scopedModels.push({ model: exactMatch, thinkingLevel });
                }
                continue;
            }
            // Match against "provider/modelId" format OR just model ID
            // This allows "*sonnet*" to match without requiring "anthropic/*sonnet*"
            const matchingModels = availableModels.filter((m) => {
                const fullId = `${m.provider}/${m.id}`;
                return minimatch(fullId, globPattern, { nocase: true }) || minimatch(m.id, globPattern, { nocase: true });
            });
            if (matchingModels.length === 0) {
                diagnostics.push({
                    type: "warning",
                    code: "no-match",
                    message: `No models match pattern "${pattern}"`,
                    pattern,
                });
                continue;
            }
            for (const model of matchingModels) {
                if (!scopedModels.find((sm) => modelsAreEqual(sm.model, model))) {
                    scopedModels.push({ model, thinkingLevel });
                }
            }
            continue;
        }
        const { model, thinkingLevel, warning } = parseModelPattern(pattern, availableModels);
        if (warning) {
            diagnostics.push({ type: "warning", code: "invalid-thinking-level", message: warning, pattern });
        }
        if (!model) {
            diagnostics.push({
                type: "warning",
                code: "no-match",
                message: `No models match pattern "${pattern}"`,
                pattern,
            });
            continue;
        }
        // Avoid duplicates
        if (!scopedModels.find((sm) => modelsAreEqual(sm.model, model))) {
            scopedModels.push({ model, thinkingLevel });
        }
    }
    return { scopedModels, diagnostics };
}
export async function resolveModelScopeWithDiagnostics(patterns, modelRuntime, options) {
    return resolveModelScopeFromModels(patterns, await modelRuntime.getAvailable(undefined, options));
}
export async function resolveModelScope(patterns, modelRuntime, options) {
    const { scopedModels, diagnostics } = await resolveModelScopeWithDiagnostics(patterns, modelRuntime, options);
    for (const diagnostic of diagnostics) {
        console.warn(chalk.yellow(`Warning: ${diagnostic.message}`));
    }
    return scopedModels;
}
/**
 * Resolve a single model from CLI flags.
 *
 * Supports:
 * - --provider <provider> --model <pattern>
 * - --model <provider>/<pattern>
 * - Fuzzy matching (same rules as model scoping: exact id, then partial id/name)
 *
 * Note: This does not apply the thinking level by itself, but it may *parse* and
 * return a thinking level from "<pattern>:<thinking>" so the caller can apply it.
 */
export function resolveCliModel(options) {
    const { cliProvider, cliModel, cliThinking, modelRuntime } = options;
    if (!cliModel) {
        return { model: undefined, warning: undefined, error: undefined };
    }
    // Important: use *all* models here, not just models with pre-configured auth.
    // This allows "--api-key" to be used for first-time setup.
    const availableModels = [...modelRuntime.getModels()];
    if (availableModels.length === 0) {
        return {
            model: undefined,
            warning: undefined,
            error: "No models available. Check your installation or add models to models.json.",
        };
    }
    // Build canonical provider lookup (case-insensitive)
    const providerMap = new Map();
    for (const m of availableModels) {
        providerMap.set(m.provider.toLowerCase(), m.provider);
    }
    let provider = cliProvider ? providerMap.get(cliProvider.toLowerCase()) : undefined;
    if (cliProvider && !provider) {
        return {
            model: undefined,
            warning: undefined,
            error: `Unknown provider "${cliProvider}". Use --list-models to see available providers/models.`,
        };
    }
    // If no explicit --provider, try to interpret "provider/model" format first.
    // When the prefix before the first slash matches a known provider, prefer that
    // interpretation over matching models whose IDs literally contain slashes
    // (e.g. "zai/glm-5" should resolve to provider=zai, model=glm-5, not to a
    // vercel-ai-gateway model with id "zai/glm-5").
    let pattern = cliModel;
    let inferredProvider = false;
    if (!provider) {
        const slashIndex = cliModel.indexOf("/");
        if (slashIndex !== -1) {
            const maybeProvider = cliModel.substring(0, slashIndex);
            const canonical = providerMap.get(maybeProvider.toLowerCase());
            if (canonical) {
                provider = canonical;
                pattern = cliModel.substring(slashIndex + 1);
                inferredProvider = true;
            }
        }
    }
    // If no provider was inferred from the slash, try exact matches without provider inference.
    // This handles models whose IDs naturally contain slashes (e.g. OpenRouter-style IDs).
    // Bare exact IDs can exist in multiple providers, so do not choose by catalog order.
    // Prefer the sole authenticated provider when there is one; otherwise require an
    // explicit provider to avoid silently selecting an unusable provider.
    if (!provider) {
        const lower = cliModel.toLowerCase();
        const exactMatches = availableModels.filter((m) => m.id.toLowerCase() === lower || `${m.provider}/${m.id}`.toLowerCase() === lower);
        if (exactMatches.length === 1) {
            return { model: exactMatches[0], warning: undefined, thinkingLevel: undefined, error: undefined };
        }
        if (exactMatches.length > 1) {
            const authenticatedExactMatches = exactMatches.filter((m) => modelRuntime.hasConfiguredAuth(m.provider));
            if (authenticatedExactMatches.length === 1) {
                return {
                    model: authenticatedExactMatches[0],
                    warning: undefined,
                    thinkingLevel: undefined,
                    error: undefined,
                };
            }
            const matches = exactMatches
                .map((m) => `${m.provider}/${m.id}`)
                .sort((a, b) => a.localeCompare(b))
                .join(", ");
            const authHint = authenticatedExactMatches.length === 0
                ? "No matching provider is authenticated."
                : "More than one matching provider is authenticated.";
            return {
                model: undefined,
                warning: undefined,
                thinkingLevel: undefined,
                error: `Model "${cliModel}" is ambiguous across providers: ${matches}. ${authHint} Use --provider or provider/model.`,
            };
        }
    }
    if (cliProvider && provider) {
        // If both were provided, tolerate --model <provider>/<pattern> by stripping the provider prefix
        const prefix = `${provider}/`;
        if (cliModel.toLowerCase().startsWith(prefix.toLowerCase())) {
            pattern = cliModel.substring(prefix.length);
        }
    }
    const candidates = provider ? availableModels.filter((m) => m.provider === provider) : availableModels;
    const { model, thinkingLevel, warning } = parseModelPattern(pattern, candidates, {
        allowInvalidThinkingLevelFallback: false,
    });
    if (model) {
        // If provider inference matched an unauthenticated provider/model pair, prefer
        // one exact raw model-id match that is authenticated. This keeps
        // "provider/model" syntax preferred when usable, but handles models whose
        // literal id starts with a known provider name (for example
        // commandcode model id "xiaomi/mimo-v2.5-pro").
        if (inferredProvider) {
            const rawExactMatches = availableModels.filter((m) => m.id.toLowerCase() === cliModel.toLowerCase() && !modelsAreEqual(m, model));
            if (rawExactMatches.length > 0 && !modelRuntime.hasConfiguredAuth(model.provider)) {
                const authenticatedRawMatches = rawExactMatches.filter((m) => modelRuntime.hasConfiguredAuth(m.provider));
                if (authenticatedRawMatches.length === 1) {
                    return {
                        model: authenticatedRawMatches[0],
                        thinkingLevel: undefined,
                        warning: undefined,
                        error: undefined,
                    };
                }
            }
        }
        return { model, thinkingLevel, warning, error: undefined };
    }
    // If we inferred a provider from the slash but found no match within that provider,
    // fall back to matching the full input as a raw model id across all models.
    // This handles OpenRouter-style IDs like "openai/gpt-4o:extended" where "openai"
    // looks like a provider but the full string is actually a model id on openrouter.
    if (inferredProvider) {
        const lower = cliModel.toLowerCase();
        const exact = availableModels.find((m) => m.id.toLowerCase() === lower || `${m.provider}/${m.id}`.toLowerCase() === lower);
        if (exact) {
            return { model: exact, warning: undefined, thinkingLevel: undefined, error: undefined };
        }
        // Also try parseModelPattern on the full input against all models
        const fallback = parseModelPattern(cliModel, availableModels, {
            allowInvalidThinkingLevelFallback: false,
        });
        if (fallback.model) {
            return {
                model: fallback.model,
                thinkingLevel: fallback.thinkingLevel,
                warning: fallback.warning,
                error: undefined,
            };
        }
    }
    if (provider) {
        // Parse thinking level suffix from the pattern before building the fallback model,
        // but only when --thinking is not explicitly provided.
        // e.g. "zai-org/GLM-5.1-FP8:high" → modelId="zai-org/GLM-5.1-FP8", fallbackThinking="high"
        let fallbackPattern = pattern;
        let fallbackThinking;
        if (!cliThinking) {
            const lastColon = pattern.lastIndexOf(":");
            if (lastColon !== -1) {
                const suffix = pattern.substring(lastColon + 1);
                if (isValidThinkingLevel(suffix)) {
                    fallbackPattern = pattern.substring(0, lastColon);
                    fallbackThinking = suffix;
                }
            }
        }
        const fallbackModel = buildFallbackModel(provider, fallbackPattern, availableModels);
        if (fallbackModel) {
            const requestedThinking = cliThinking ?? fallbackThinking;
            const model = requestedThinking && requestedThinking !== "off" ? { ...fallbackModel, reasoning: true } : fallbackModel;
            const fallbackWarning = warning
                ? `${warning} Model "${fallbackPattern}" not found for provider "${provider}". Using custom model id.`
                : `Model "${fallbackPattern}" not found for provider "${provider}". Using custom model id.`;
            return { model, thinkingLevel: fallbackThinking, warning: fallbackWarning, error: undefined };
        }
    }
    const display = provider ? `${provider}/${pattern}` : cliModel;
    return {
        model: undefined,
        thinkingLevel: undefined,
        warning,
        error: `Model "${display}" not found. Use --list-models to see available models.`,
    };
}
/**
 * Find the initial model to use based on priority:
 * 1. CLI args (provider + model)
 * 2. First model from scoped models (if not continuing/resuming)
 * 3. Restored from session (if continuing/resuming)
 * 4. Saved default from settings
 * 5. First available model with valid API key
 */
export async function findInitialModel(options) {
    const { cliProvider, cliModel, scopedModels, isContinuing, defaultProvider, defaultModelId, defaultThinkingLevel, modelThinkingLevels, modelRuntime, } = options;
    let model;
    let thinkingLevel = DEFAULT_THINKING_LEVEL;
    // 1. CLI args take priority
    if (cliProvider && cliModel) {
        const resolved = resolveCliModel({
            cliProvider,
            cliModel,
            modelRuntime,
        });
        if (resolved.error) {
            console.error(chalk.red(resolved.error));
            process.exit(1);
        }
        if (resolved.model) {
            return { model: resolved.model, thinkingLevel: DEFAULT_THINKING_LEVEL, fallbackMessage: undefined };
        }
    }
    // 2. Use first model from scoped models (skip if continuing/resuming)
    if (scopedModels.length > 0 && !isContinuing) {
        const scopedModel = scopedModels[0];
        const perModel = modelThinkingLevels?.[`${scopedModel.model.provider}/${scopedModel.model.id}`];
        return {
            model: scopedModel.model,
            thinkingLevel: scopedModel.thinkingLevel ?? perModel ?? defaultThinkingLevel ?? DEFAULT_THINKING_LEVEL,
            fallbackMessage: undefined,
        };
    }
    // 3. Try saved default from settings if auth is configured.
    if (defaultProvider && defaultModelId) {
        const found = modelRuntime.getModel(defaultProvider, defaultModelId);
        if (found && modelRuntime.hasConfiguredAuth(found.provider)) {
            model = found;
            const perModel = modelThinkingLevels?.[`${defaultProvider}/${defaultModelId}`];
            if (perModel) {
                thinkingLevel = perModel;
            }
            else if (defaultThinkingLevel) {
                thinkingLevel = defaultThinkingLevel;
            }
            return { model, thinkingLevel, fallbackMessage: undefined };
        }
    }
    // 4. Try first available model with valid API key
    const availableModels = [...modelRuntime.getAvailableSnapshot()];
    if (availableModels.length > 0) {
        // Try to find a default model from known providers
        for (const provider of Object.keys(defaultModelPerProvider)) {
            const defaultId = defaultModelPerProvider[provider];
            const match = availableModels.find((m) => m.provider === provider && m.id === defaultId);
            if (match) {
                return { model: match, thinkingLevel: DEFAULT_THINKING_LEVEL, fallbackMessage: undefined };
            }
        }
        // If no default found, use first available
        return { model: availableModels[0], thinkingLevel: DEFAULT_THINKING_LEVEL, fallbackMessage: undefined };
    }
    // 5. No model found
    return { model: undefined, thinkingLevel: DEFAULT_THINKING_LEVEL, fallbackMessage: undefined };
}
/**
 * Restore model from session, with fallback to available models
 */
export async function restoreModelFromSession(savedProvider, savedModelId, currentModel, shouldPrintMessages, modelRuntime) {
    const restoredModel = modelRuntime.getModel(savedProvider, savedModelId);
    // Check if restored model exists and still has auth configured
    const hasConfiguredAuth = restoredModel ? modelRuntime.hasConfiguredAuth(restoredModel.provider) : false;
    if (restoredModel && hasConfiguredAuth) {
        if (shouldPrintMessages) {
            console.log(chalk.dim(`Restored model: ${savedProvider}/${savedModelId}`));
        }
        return { model: restoredModel, fallbackMessage: undefined };
    }
    // Model not found or no API key - fall back
    const reason = !restoredModel ? "model no longer exists" : "no auth configured";
    if (shouldPrintMessages) {
        console.error(chalk.yellow(`Warning: Could not restore model ${savedProvider}/${savedModelId} (${reason}).`));
    }
    // If we already have a model, use it as fallback
    if (currentModel) {
        if (shouldPrintMessages) {
            console.log(chalk.dim(`Falling back to: ${currentModel.provider}/${currentModel.id}`));
        }
        return {
            model: currentModel,
            fallbackMessage: `Could not restore model ${savedProvider}/${savedModelId} (${reason}). Using ${currentModel.provider}/${currentModel.id}.`,
        };
    }
    // Try to find any available model
    const availableModels = [...modelRuntime.getAvailableSnapshot()];
    if (availableModels.length > 0) {
        // Try to find a default model from known providers
        let fallbackModel;
        for (const provider of Object.keys(defaultModelPerProvider)) {
            const defaultId = defaultModelPerProvider[provider];
            const match = availableModels.find((m) => m.provider === provider && m.id === defaultId);
            if (match) {
                fallbackModel = match;
                break;
            }
        }
        // If no default found, use first available
        if (!fallbackModel) {
            fallbackModel = availableModels[0];
        }
        if (shouldPrintMessages) {
            console.log(chalk.dim(`Falling back to: ${fallbackModel.provider}/${fallbackModel.id}`));
        }
        return {
            model: fallbackModel,
            fallbackMessage: `Could not restore model ${savedProvider}/${savedModelId} (${reason}). Using ${fallbackModel.provider}/${fallbackModel.id}.`,
        };
    }
    // No models available
    return { model: undefined, fallbackMessage: undefined };
}
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