packages/ai/src/api/google-shared.ts

/**
 * Shared utilities for Google Generative AI and Google Vertex providers.
 */

import { type Content, FinishReason, FunctionCallingConfigMode, type Part } from "@google/genai";
import type {
	Context,
	ImageContent,
	Model,
	ModelThinkingLevel,
	StopReason,
	StreamOptions,
	TextContent,
	ThinkingLevel,
	Tool,
} from "../types.ts";
import { retryProviderRequest } from "../utils/provider-retry.ts";
import { sanitizeSurrogates } from "../utils/sanitize-unicode.ts";
import { getJsonSchemaToolParameters, resolveJsonSchemaStrictSampling } from "./constrained-sampling.ts";
import { transformMessages } from "./transform-messages.ts";

type GoogleApiType = "google-generative-ai" | "google-vertex";

/**
 * Thinking level for Gemini 3 models.
 * Mirrors Google's ThinkingLevel enum values.
 */
export type GoogleApiThinkingLevel = "THINKING_LEVEL_UNSPECIFIED" | "MINIMAL" | "LOW" | "MEDIUM" | "HIGH";
export type ResolvedGoogleThinkingLevel = Exclude<ThinkingLevel, "xhigh" | "max">;

/** Resolve a supported pi level or model-specific Google mapping to a standard Google level. */
export function resolveGoogleThinkingLevel<T extends GoogleApiType>(
	model: Model<T>,
	level: ModelThinkingLevel,
): ResolvedGoogleThinkingLevel {
	if (level === "off") return "high";

	const mapped = model.thinkingLevelMap?.[level];
	const resolvedLevel = typeof mapped === "string" ? mapped.toLowerCase() : level;
	switch (resolvedLevel) {
		case "minimal":
		case "low":
		case "medium":
		case "high":
			return resolvedLevel;
		default:
			throw new Error(
				`Unsupported Google thinking level mapping for ${model.provider}/${model.id}: ${level} -> ${String(mapped)}`,
			);
	}
}

/**
 * Determines whether a streamed Gemini `Part` should be treated as "thinking".
 *
 * Protocol note (Gemini / Vertex AI thought signatures):
 * - `thought: true` is the definitive marker for thinking content (thought summaries).
 * - `thoughtSignature` is an encrypted representation of the model's internal thought process
 *   used to preserve reasoning context across multi-turn interactions.
 * - `thoughtSignature` can appear on ANY part type (text, functionCall, etc.) - it does NOT
 *   indicate the part itself is thinking content.
 * - For non-functionCall responses, the signature appears on the last part for context replay.
 * - When persisting/replaying model outputs, signature-bearing parts must be preserved as-is;
 *   do not merge/move signatures across parts.
 *
 * See: https://ai.google.dev/gemini-api/docs/thought-signatures
 */
export function isThinkingPart(part: Pick<Part, "thought" | "thoughtSignature">): boolean {
	return part.thought === true;
}

/**
 * Retain thought signatures during streaming.
 *
 * Some backends only send `thoughtSignature` on the first delta for a given part/block; later deltas may omit it.
 * This helper preserves the last non-empty signature for the current block.
 *
 * Note: this does NOT merge or move signatures across distinct response parts. It only prevents
 * a signature from being overwritten with `undefined` within the same streamed block.
 */
export function retainThoughtSignature(existing: string | undefined, incoming: string | undefined): string | undefined {
	if (typeof incoming === "string" && incoming.length > 0) return incoming;
	return existing;
}

// Thought signatures must be base64 for Google APIs (TYPE_BYTES).
const base64SignaturePattern = /^[A-Za-z0-9+/]+={0,2}$/;

function isValidThoughtSignature(signature: string | undefined): boolean {
	if (!signature) return false;
	if (signature.length % 4 !== 0) return false;
	return base64SignaturePattern.test(signature);
}

/**
 * Only keep signatures from the same provider/model and with valid base64.
 */
function resolveThoughtSignature(isSameProviderAndModel: boolean, signature: string | undefined): string | undefined {
	return isSameProviderAndModel && isValidThoughtSignature(signature) ? signature : undefined;
}

/**
 * Models via Google APIs that require explicit tool call IDs in function calls/responses.
 */
export function requiresToolCallId(modelId: string): boolean {
	const geminiMajorVersion = getGeminiMajorVersion(modelId);
	return (
		modelId.startsWith("claude-") ||
		modelId.startsWith("gpt-oss-") ||
		(geminiMajorVersion !== undefined && geminiMajorVersion >= 3)
	);
}

function getGeminiMajorVersion(modelId: string): number | undefined {
	const match = modelId.toLowerCase().match(/^gemini(?:-live)?-(\d+)/);
	if (!match) return undefined;
	return Number.parseInt(match[1], 10);
}

function supportsMultimodalFunctionResponse(modelId: string): boolean {
	const geminiMajorVersion = getGeminiMajorVersion(modelId);
	if (geminiMajorVersion !== undefined) {
		return geminiMajorVersion >= 3;
	}
	return true;
}

/**
 * Convert internal messages to Gemini Content[] format.
 */
export function convertMessages<T extends GoogleApiType>(model: Model<T>, context: Context): Content[] {
	const contents: Content[] = [];
	const normalizeToolCallId = (id: string): string => {
		if (!requiresToolCallId(model.id)) return id;
		return id.replace(/[^a-zA-Z0-9_-]/g, "_").slice(0, 64);
	};

	const transformedMessages = transformMessages(context.messages, model, normalizeToolCallId);

	for (const msg of transformedMessages) {
		if (msg.role === "user") {
			if (typeof msg.content === "string") {
				contents.push({
					role: "user",
					parts: [{ text: sanitizeSurrogates(msg.content) }],
				});
			} else {
				const parts: Part[] = msg.content.map((item) => {
					if (item.type === "text") {
						return { text: sanitizeSurrogates(item.text) };
					} else {
						return {
							inlineData: {
								mimeType: item.mimeType,
								data: item.data,
							},
						};
					}
				});
				if (parts.length === 0) continue;
				contents.push({
					role: "user",
					parts,
				});
			}
		} else if (msg.role === "assistant") {
			const parts: Part[] = [];
			// Check if message is from same provider and model - only then keep thinking blocks
			const isSameProviderAndModel = msg.provider === model.provider && msg.model === model.id;

			for (const block of msg.content) {
				if (block.type === "text") {
					const thoughtSignature = resolveThoughtSignature(isSameProviderAndModel, block.textSignature);
					// Skip empty text blocks — unless they carry a thought signature. Gemini can attach
					// the signature to a part whose visible text is empty and requires it echoed back;
					// dropping it breaks the reasoning chain and the model intermittently ends mid-task
					// turns with a thought-only STOP (empty completion, no tool call).
					if ((!block.text || block.text.trim() === "") && !thoughtSignature) continue;
					parts.push({
						text: sanitizeSurrogates(block.text),
						...(thoughtSignature && { thoughtSignature }),
					});
				} else if (block.type === "thinking") {
					// Only keep as thinking block if same provider AND same model
					// Otherwise convert to plain text (no tags to avoid model mimicking them)
					if (isSameProviderAndModel) {
						const thoughtSignature = resolveThoughtSignature(isSameProviderAndModel, block.thinkingSignature);
						// Same rule as text blocks: an empty thinking block is dropped only when it
						// carries no signature (mirrors the anthropic converter's handling).
						if ((!block.thinking || block.thinking.trim() === "") && !thoughtSignature) continue;
						parts.push({
							thought: true,
							text: sanitizeSurrogates(block.thinking),
							...(thoughtSignature && { thoughtSignature }),
						});
					} else {
						// Cross-provider/model: the signature is unusable, empty blocks stay dropped.
						if (!block.thinking || block.thinking.trim() === "") continue;
						parts.push({
							text: sanitizeSurrogates(block.thinking),
						});
					}
				} else if (block.type === "toolCall") {
					const thoughtSignature = resolveThoughtSignature(isSameProviderAndModel, block.thoughtSignature);
					const part: Part = {
						functionCall: {
							name: block.name,
							args: block.arguments ?? {},
							...(requiresToolCallId(model.id) ? { id: block.id } : {}),
						},
						...(thoughtSignature && { thoughtSignature }),
					};
					parts.push(part);
				}
			}

			if (parts.length === 0) continue;
			contents.push({
				role: "model",
				parts,
			});
		} else if (msg.role === "toolResult") {
			// Extract text and image content
			const textContent = msg.content.filter((c): c is TextContent => c.type === "text");
			const textResult = textContent.map((c) => c.text).join("\n");
			const imageContent = model.input.includes("image")
				? msg.content.filter((c): c is ImageContent => c.type === "image")
				: [];

			const hasText = textResult.length > 0;
			const hasImages = imageContent.length > 0;

			// Gemini 3+ models support multimodal function responses with images nested inside
			// functionResponse.parts. Claude and other non-Gemini models behind Cloud Code Assist /
			// Gemini < 3 still needs a separate user image turn.
			const modelSupportsMultimodalFunctionResponse = supportsMultimodalFunctionResponse(model.id);

			// Use "output" key for success, "error" key for errors as per SDK documentation
			const responseValue = hasText ? sanitizeSurrogates(textResult) : hasImages ? "(see attached image)" : "";

			const imageParts: Part[] = imageContent.map((imageBlock) => ({
				inlineData: {
					mimeType: imageBlock.mimeType,
					data: imageBlock.data,
				},
			}));

			const includeId = requiresToolCallId(model.id);
			const functionResponsePart: Part = {
				functionResponse: {
					name: msg.toolName,
					response: msg.isError ? { error: responseValue } : { output: responseValue },
					...(hasImages && modelSupportsMultimodalFunctionResponse && { parts: imageParts }),
					...(includeId ? { id: msg.toolCallId } : {}),
				},
			};

			// Cloud Code Assist API requires all function responses to be in a single user turn.
			// Check if the last content is already a user turn with function responses and merge.
			const lastContent = contents[contents.length - 1];
			if (lastContent?.role === "user" && lastContent.parts?.some((p) => p.functionResponse)) {
				lastContent.parts.push(functionResponsePart);
			} else {
				contents.push({
					role: "user",
					parts: [functionResponsePart],
				});
			}

			// For Gemini < 3, add images in a separate user message
			if (hasImages && !modelSupportsMultimodalFunctionResponse) {
				contents.push({
					role: "user",
					parts: [{ text: "Tool result image:" }, ...imageParts],
				});
			}
		}
	}

	return contents;
}

const JSON_SCHEMA_META_DECLARATIONS = new Set([
	"$schema",
	"$id",
	"$anchor",
	"$dynamicAnchor",
	"$vocabulary",
	"$comment",
	"$defs",
	"definitions", // pre-draft-2019-09 equivalent of $defs
]);

/**
 * Strip meta-declarations from a schema obj
 */
function sanitizeForOpenApi(schema: unknown): unknown {
	if (typeof schema !== "object" || schema === null || Array.isArray(schema)) {
		return schema;
	}

	const result: Record<string, unknown> = {};
	for (const [key, value] of Object.entries(schema)) {
		if (JSON_SCHEMA_META_DECLARATIONS.has(key)) continue;
		result[key] = sanitizeForOpenApi(value);
	}
	return result;
}

/**
 * Convert tools to Gemini function declarations format.
 *
 * By default uses `parametersJsonSchema` which supports full JSON Schema (including
 * anyOf, oneOf, const, etc.). Set `useParameters` to true to use the legacy `parameters`
 * field instead (OpenAPI 3.03 Schema). This is needed for Cloud Code Assist with Claude
 * models, where the API translates `parameters` into Anthropic's `input_schema`.
 */
export function convertTools(
	tools: Tool[],
	useParameters = false,
	supportsStrictMode = true,
): { functionDeclarations: Record<string, unknown>[] }[] | undefined {
	if (tools.length === 0) return undefined;
	return [
		{
			functionDeclarations: tools.map((tool) => {
				const strict = resolveJsonSchemaStrictSampling(tool, supportsStrictMode);
				const parameters = getJsonSchemaToolParameters(tool, strict);
				return {
					name: tool.name,
					description: tool.description,
					...(useParameters
						? { parameters: sanitizeForOpenApi(parameters as unknown) }
						: { parametersJsonSchema: parameters }),
				};
			}),
		},
	];
}

/** Gemini 3+ enforces required function parameters in validated tool-calling modes. */
export function supportsGoogleStrictToolSampling(modelId: string): boolean {
	const majorVersion = getGeminiMajorVersion(modelId);
	return majorVersion !== undefined && majorVersion >= 3;
}

/** Map tool choice string to Gemini FunctionCallingConfigMode. */
export function mapToolChoice(choice: string): FunctionCallingConfigMode {
	switch (choice) {
		case "auto":
			return FunctionCallingConfigMode.AUTO;
		case "none":
			return FunctionCallingConfigMode.NONE;
		case "any":
			return FunctionCallingConfigMode.ANY;
		default:
			return FunctionCallingConfigMode.AUTO;
	}
}

export function resolveGoogleFunctionCallingMode(
	tools: Tool[],
	toolChoice: string | undefined,
	supportsStrictMode: boolean,
): FunctionCallingConfigMode | undefined {
	const useStrictMode = tools.some((tool) => resolveJsonSchemaStrictSampling(tool, supportsStrictMode) === true);
	if (toolChoice === "none" || toolChoice === "any") {
		return mapToolChoice(toolChoice);
	}
	if (useStrictMode) {
		return FunctionCallingConfigMode.VALIDATED;
	}
	return toolChoice ? mapToolChoice(toolChoice) : undefined;
}

/**
 * Map Gemini FinishReason to our StopReason.
 */
export function mapStopReason(reason: FinishReason): StopReason {
	switch (reason) {
		case FinishReason.STOP:
			return "stop";
		case FinishReason.MAX_TOKENS:
			return "length";
		case FinishReason.BLOCKLIST:
		case FinishReason.PROHIBITED_CONTENT:
		case FinishReason.SPII:
		case FinishReason.SAFETY:
		case FinishReason.IMAGE_SAFETY:
		case FinishReason.IMAGE_PROHIBITED_CONTENT:
		case FinishReason.IMAGE_RECITATION:
		case FinishReason.IMAGE_OTHER:
		case FinishReason.RECITATION:
		case FinishReason.FINISH_REASON_UNSPECIFIED:
		case FinishReason.OTHER:
		case FinishReason.LANGUAGE:
		case FinishReason.MALFORMED_FUNCTION_CALL:
		case FinishReason.UNEXPECTED_TOOL_CALL:
		case FinishReason.TOO_MANY_TOOL_CALLS:
		case FinishReason.NO_IMAGE:
			return "error";
		default: {
			const _exhaustive: never = reason;
			throw new Error(`Unhandled stop reason: ${_exhaustive}`);
		}
	}
}

/**
 * Map string finish reason to our StopReason (for raw API responses).
 */
export function mapStopReasonString(reason: string): StopReason {
	switch (reason) {
		case "STOP":
			return "stop";
		case "MAX_TOKENS":
			return "length";
		default:
			return "error";
	}
}

/**
 * Run a Google GenAI SDK request with the shared provider retry policy
 * (408/409/429/5xx with backoff, honoring retry-after), mirroring how the
 * Anthropic and OpenAI adapters wrap their initial request in
 * retryProviderRequest. The SDK's ApiError has a `status` property but no
 * `headers` property, and retryProviderRequest only retries errors that carry
 * both, so normalize the error by adding the missing `headers` before
 * rethrowing.
 */
export function retryGoogleRequest<T>(
	request: () => Promise<T>,
	options?: Pick<StreamOptions, "maxRetries" | "maxRetryDelayMs" | "signal">,
): Promise<T> {
	return retryProviderRequest(
		async () => {
			try {
				return await request();
			} catch (error) {
				if (error instanceof Error && "status" in error && !("headers" in error)) {
					(error as { headers?: Headers }).headers = undefined;
				}
				throw error;
			}
		},
		{
			maxRetries: options?.maxRetries,
			maxRetryDelayMs: options?.maxRetryDelayMs,
			signal: options?.signal,
		},
	);
}