import {
  Behavior,
  type Candidate,
  type GenerateContentConfig,
  type GenerateContentParameters,
  type GenerateContentResponse,
  type GoogleGenAI,
  type HarmCategory,
  type HarmProbability,
  type Part,
} from "@google/genai";
import { ArchestraInternalErrorCode } from "@shared";
import { encode as toonEncode } from "@toon-format/toon";
import { get } from "lodash-es";
import { createGoogleGenAIClient } from "@/clients/gemini-client";
import config from "@/config";
import logger from "@/logging";
import { ModelModel } from "@/models";
import { metrics } from "@/observability";
import { getTokenizer } from "@/tokenizers";
import type {
  ChunkProcessingResult,
  CommonMcpToolDefinition,
  CommonMessage,
  CommonToolCall,
  CommonToolResult,
  CreateClientOptions,
  Gemini,
  LLMProvider,
  LLMRequestAdapter,
  LLMResponseAdapter,
  LLMStreamAdapter,
  StreamAccumulatorState,
  ToolCompressionStats,
  UsageView,
} from "@/types";
import { extractCommonMessageText } from "@/types";
import {
  hasImageContent,
  isImageTooLarge,
  isMcpImageBlock,
} from "../utils/mcp-image";
import { unwrapToolContent } from "../utils/unwrap-tool-content";

// =============================================================================
// TYPE ALIASES
// =============================================================================

type GeminiRequest = Gemini.Types.GenerateContentRequest;
type GeminiResponse = Gemini.Types.GenerateContentResponse;
type GeminiContents = Gemini.Types.GenerateContentRequest["contents"];
type GeminiHeaders = Gemini.Types.GenerateContentHeaders;
type GeminiStreamChunk = GenerateContentResponse;
type GeminiFunctionResponse = Record<string, unknown> & {
  name: string;
  response: Record<string, unknown>;
};

// Extended request type that includes model (set from URL path parameter)
export interface GeminiRequestWithModel extends GeminiRequest {
  _model?: string;
  _isStreaming?: boolean;
}

// =============================================================================
// REQUEST ADAPTER
// =============================================================================

class GeminiRequestAdapter
  implements LLMRequestAdapter<GeminiRequestWithModel, GeminiContents>
{
  readonly provider = "gemini" as const;
  private request: GeminiRequestWithModel;
  private modifiedModel: string | null = null;
  private toolResultUpdates: Record<string, string> = {};

  constructor(request: GeminiRequestWithModel) {
    this.request = request;
  }

  // ---------------------------------------------------------------------------
  // Read Access
  // ---------------------------------------------------------------------------

  getModel(): string {
    return this.modifiedModel ?? this.request._model ?? "gemini-2.5-pro";
  }

  isStreaming(): boolean {
    // Gemini determines streaming by route, not body
    return this.request._isStreaming === true;
  }

  getMessages(): CommonMessage[] {
    const contents = this.request.contents || [];
    logger.debug(
      { contentsCount: contents?.length || 0 },
      "[adapters/gemini] getMessages: starting conversion",
    );
    const commonMessages: CommonMessage[] = [];

    for (const content of contents) {
      const commonMessage: CommonMessage = {
        role: content.role as CommonMessage["role"],
        content: extractCommonMessageText(content),
      };

      // Process parts looking for function responses
      if (content.parts) {
        const toolCalls: CommonToolResult[] = [];

        for (const part of content.parts) {
          // Check if this part has the functionResponse property
          if (
            "functionResponse" in part &&
            part.functionResponse &&
            typeof part.functionResponse === "object" &&
            "name" in part.functionResponse &&
            "response" in part.functionResponse
          ) {
            const { functionResponse } = part;
            const id =
              "id" in functionResponse &&
              typeof functionResponse.id === "string"
                ? functionResponse.id
                : generateToolCallId(functionResponse.name as string);

            toolCalls.push({
              id,
              name: functionResponse.name as string,
              content: functionResponse.response,
              isError: false,
            });
          }
        }

        if (toolCalls.length > 0) {
          commonMessage.toolCalls = toolCalls;
        }
      }

      commonMessages.push(commonMessage);
    }

    logger.debug(
      { commonMessageCount: commonMessages.length },
      "[adapters/gemini] getMessages: conversion complete",
    );
    return commonMessages;
  }

  getToolResults(): CommonToolResult[] {
    const results: CommonToolResult[] = [];

    for (const content of this.request.contents || []) {
      if (content.parts) {
        for (const part of content.parts) {
          if (
            "functionResponse" in part &&
            part.functionResponse &&
            typeof part.functionResponse === "object" &&
            "name" in part.functionResponse &&
            "response" in part.functionResponse
          ) {
            const { functionResponse } = part;
            const id =
              "id" in functionResponse &&
              typeof functionResponse.id === "string"
                ? functionResponse.id
                : generateToolCallId(functionResponse.name as string);

            results.push({
              id,
              name: functionResponse.name as string,
              content: functionResponse.response,
              isError: false,
            });
          }
        }
      }
    }

    return results;
  }

  getTools(): CommonMcpToolDefinition[] {
    const tools = this.request.tools;
    if (!tools) return [];

    const toolArray = Array.isArray(tools) ? tools : [tools];
    const result: CommonMcpToolDefinition[] = [];

    for (const tool of toolArray) {
      if (tool.functionDeclarations) {
        for (const fd of tool.functionDeclarations) {
          result.push({
            name: fd.name,
            description: fd.description,
            inputSchema: fd.parameters as Record<string, unknown>,
          });
        }
      }
    }

    return result;
  }

  hasTools(): boolean {
    const tools = this.request.tools;
    if (!tools) return false;
    const toolArray = Array.isArray(tools) ? tools : [tools];
    return toolArray.some(
      (t) => t.functionDeclarations && t.functionDeclarations.length > 0,
    );
  }

  getProviderMessages(): GeminiContents {
    return this.request.contents || [];
  }

  getOriginalRequest(): GeminiRequestWithModel {
    return this.request;
  }

  // ---------------------------------------------------------------------------
  // Modify Access
  // ---------------------------------------------------------------------------

  setModel(model: string): void {
    this.modifiedModel = model;
  }

  updateToolResult(toolCallId: string, newContent: string): void {
    this.toolResultUpdates[toolCallId] = newContent;
  }

  applyToolResultUpdates(updates: Record<string, string>): void {
    Object.assign(this.toolResultUpdates, updates);
  }

  async applyToonCompression(model: string): Promise<ToolCompressionStats> {
    const { contents: compressedContents, stats } =
      await convertToolResultsToToon(this.request.contents || [], model);
    this.request = {
      ...this.request,
      contents: compressedContents,
    };
    return stats;
  }

  convertToolResultContent(contents: GeminiContents): GeminiContents {
    return contents.map((content) => {
      if (content.role !== "user" || !content.parts) {
        return content;
      }

      const updatedParts = content.parts.map((part) => {
        if (isGeminiFunctionResponsePart(part)) {
          const convertedResponse = convertMcpImageBlocksToGeminiResponse(
            part.functionResponse.response,
          );

          if (!convertedResponse) {
            return part;
          }

          return {
            ...part,
            functionResponse: {
              ...part.functionResponse,
              response: convertedResponse,
            },
          };
        }

        return part;
      });

      return {
        ...content,
        parts: updatedParts,
      };
    });
  }

  // ---------------------------------------------------------------------------
  // Build Modified Request
  // ---------------------------------------------------------------------------

  toProviderRequest(): GeminiRequestWithModel {
    let contents = this.request.contents || [];

    // Apply tool result updates inline
    const updateCount = Object.keys(this.toolResultUpdates).length;
    if (updateCount > 0) {
      logger.debug(
        { contentsCount: contents?.length || 0, updateCount },
        "[adapters/gemini] toProviderRequest: applying updates",
      );

      contents = contents.map((content) => {
        // Only process user messages with parts
        if (content.role === "user" && content.parts) {
          const updatedParts = content.parts.map((part) => {
            // Check if this part is a function response
            if (
              "functionResponse" in part &&
              part.functionResponse &&
              typeof part.functionResponse === "object" &&
              "name" in part.functionResponse
            ) {
              const { functionResponse } = part;
              const id =
                "id" in functionResponse &&
                typeof functionResponse.id === "string"
                  ? functionResponse.id
                  : generateToolCallId(functionResponse.name as string);

              if (this.toolResultUpdates[id]) {
                // Update the function response with sanitized content
                // Spread the original part to preserve top-level fields like
                // thought and thoughtSignature which Gemini 3 requires
                return {
                  ...part,
                  functionResponse: {
                    ...functionResponse,
                    response: {
                      sanitizedContent: this.toolResultUpdates[id],
                    } as Record<string, unknown>,
                  },
                };
              }
            }
            return part;
          });

          return {
            ...content,
            parts: updatedParts,
          };
        }

        return content;
      });
    }

    contents = this.convertToolResultContent(contents);

    // Filter out content entries with empty parts - Gemini API rejects these
    // with INVALID_ARGUMENT. This can happen when the AI SDK produces content
    // entries where all parts were filtered (e.g., empty text in assistant messages).
    contents = contents.filter(
      (content) => content.parts && content.parts.length > 0,
    );

    return {
      ...this.request,
      contents,
      _model: this.getModel(),
    };
  }
}

function isGeminiFunctionResponsePart(
  part: Gemini.Types.MessagePart,
): part is Gemini.Types.MessagePart & {
  functionResponse: GeminiFunctionResponse;
} {
  if (!("functionResponse" in part) || !part.functionResponse) {
    return false;
  }

  if (typeof part.functionResponse !== "object") {
    return false;
  }

  const candidate = part.functionResponse as Record<string, unknown>;
  return typeof candidate.name === "string" && "response" in candidate;
}

function convertMcpImageBlocksToGeminiResponse(
  content: unknown,
): Record<string, unknown> | null {
  if (!Array.isArray(content)) {
    return null;
  }

  if (!hasImageContent(content)) {
    return null;
  }

  const textParts: string[] = [];
  const imageParts: Array<{ mimeType: string; data: string }> = [];
  const imageTooLargePlaceholder = "[Image omitted due to size]";

  for (const item of content) {
    if (typeof item !== "object" || item === null) continue;
    const candidate = item as Record<string, unknown>;

    if (isMcpImageBlock(item)) {
      if (isImageTooLarge(item)) {
        textParts.push(imageTooLargePlaceholder);
        continue;
      }
      const mimeType = item.mimeType ?? "image/png";
      imageParts.push({
        mimeType,
        data: item.data,
      });
    } else if (candidate.type === "text" && "text" in candidate) {
      textParts.push(
        typeof candidate.text === "string"
          ? candidate.text
          : JSON.stringify(candidate),
      );
    }
  }

  if (imageParts.length === 0 && textParts.length === 0) {
    return null;
  }

  const response: Record<string, unknown> = {
    text: textParts.join("\n"),
  };

  if (imageParts.length > 0) {
    response.images = imageParts.map((img) => ({
      inlineData: {
        mimeType: img.mimeType,
        data: img.data,
      },
    }));
  }

  return response;
}

// =============================================================================
// RESPONSE ADAPTER
// =============================================================================

class GeminiResponseAdapter implements LLMResponseAdapter<GeminiResponse> {
  readonly provider = "gemini" as const;
  private response: GeminiResponse;

  constructor(response: GeminiResponse) {
    this.response = response;
  }

  getId(): string {
    return this.response.responseId ?? `gemini-${Date.now()}`;
  }

  getModel(): string {
    return this.response.modelVersion ?? "gemini-2.5-pro";
  }

  getText(): string {
    const candidate = this.response.candidates?.[0];
    if (!candidate?.content?.parts) return "";

    const textParts = candidate.content.parts
      .filter((part) => "text" in part && part.text)
      .map((part) => ("text" in part ? part.text : ""));

    return textParts.join("");
  }

  getToolCalls(): CommonToolCall[] {
    const candidate = this.response.candidates?.[0];
    if (!candidate?.content?.parts) return [];

    return candidate.content.parts
      .filter((part) => "functionCall" in part && part.functionCall)
      .map((part) => {
        const functionCall = (
          part as {
            functionCall: {
              name: string;
              id?: string;
              args?: Record<string, unknown>;
            };
          }
        ).functionCall;
        return {
          id:
            functionCall.id ?? `gemini-call-${functionCall.name}-${Date.now()}`,
          name: functionCall.name,
          arguments: functionCall.args ?? {},
        };
      });
  }

  hasToolCalls(): boolean {
    const candidate = this.response.candidates?.[0];
    if (!candidate?.content?.parts) return false;

    return candidate.content.parts.some(
      (part) => "functionCall" in part && part.functionCall,
    );
  }

  getUsage(): UsageView {
    if (!this.response.usageMetadata) {
      return { inputTokens: 0, outputTokens: 0 };
    }
    const { input, output } = getUsageTokens(this.response.usageMetadata);
    return { inputTokens: input ?? 0, outputTokens: output ?? 0 };
  }

  getOriginalResponse(): GeminiResponse {
    return this.response;
  }

  getFinishReasons(): string[] {
    const reason = this.response.candidates?.[0]?.finishReason;
    return reason ? [reason] : [];
  }

  toRefusalResponse(
    _refusalMessage: string,
    contentMessage: string,
  ): GeminiResponse {
    return {
      ...this.response,
      candidates: [
        {
          content: {
            parts: [{ text: contentMessage }],
            role: "model",
          },
          finishReason: "STOP",
          index: 0,
        },
      ],
    };
  }
}

// =============================================================================
// STREAM ADAPTER
// =============================================================================

class GeminiStreamAdapter
  implements LLMStreamAdapter<GeminiStreamChunk, GeminiResponse>
{
  readonly provider = "gemini" as const;
  readonly state: StreamAccumulatorState;
  private model: string = "";
  private inlineDataParts: Gemini.Types.MessagePart[] = [];

  // Gemini 3 requires thoughtSignature on all model parts when they are
  // sent back as conversation history. Track signatures during streaming
  // so toProviderResponse() can reconstruct parts with proper signatures.
  private thoughtText: string = "";
  private thoughtTextSignature: string | undefined;
  private outputTextSignature: string | undefined;
  private toolCallSignatures: Map<number, string> = new Map();

  constructor() {
    this.state = {
      responseId: "",
      model: "",
      text: "",
      toolCalls: [],
      rawToolCallEvents: [],
      usage: null,
      stopReason: null,
      timing: {
        startTime: Date.now(),
        firstChunkTime: null,
      },
    };
  }

  processChunk(chunk: GeminiStreamChunk): ChunkProcessingResult {
    if (this.state.timing.firstChunkTime === null) {
      this.state.timing.firstChunkTime = Date.now();
    }

    let sseData: string | null = null;
    let isToolCallChunk = false;
    let isFinal = false;

    // Update state from chunk
    if (chunk.modelVersion) {
      this.state.model = chunk.modelVersion;
      this.model = chunk.modelVersion;
    }

    if (chunk.responseId) {
      this.state.responseId = chunk.responseId;
    }

    // Handle usage metadata
    if (chunk.usageMetadata) {
      this.state.usage = {
        inputTokens: chunk.usageMetadata.promptTokenCount ?? 0,
        outputTokens: chunk.usageMetadata.candidatesTokenCount ?? 0,
      };
    }

    const candidate = chunk.candidates?.[0];
    if (!candidate?.content?.parts) {
      return { sseData: null, isToolCallChunk: false, isFinal: false };
    }

    // Process parts
    for (const part of candidate.content.parts) {
      // Handle text content
      if (part.text) {
        // Track thought vs output text separately for proper signature preservation.
        // Gemini 3 requires thoughtSignature on all model parts in conversation history.
        if (part.thought) {
          this.thoughtText += part.text;
          if (part.thoughtSignature) {
            this.thoughtTextSignature = part.thoughtSignature;
          }
        } else {
          if (part.thoughtSignature) {
            this.outputTextSignature = part.thoughtSignature;
          }
        }
        // state.text accumulates all text (thought + output) for backward compatibility
        this.state.text += part.text;
        // Convert SDK chunk to REST format for streaming
        const restChunk = sdkResponseToRestResponse(chunk, this.model);
        sseData = `data: ${JSON.stringify(restChunk)}\n\n`;
      }

      // Handle inline data (images generated by Gemini)
      if ("inlineData" in part && part.inlineData) {
        // Store for later reconstruction in toProviderResponse
        // sdkPartToRestPart preserves thoughtSignature on inline data parts
        this.inlineDataParts.push(
          sdkPartToRestPart(part as Parameters<typeof sdkPartToRestPart>[0]),
        );
        // Convert SDK chunk to REST format and pass through
        const restChunk = sdkResponseToRestResponse(chunk, this.model);
        sseData = `data: ${JSON.stringify(restChunk)}\n\n`;
      }

      // Handle function calls
      if (part.functionCall) {
        const functionCall = part.functionCall;
        const toolCallIndex = this.state.toolCalls.length;
        this.state.toolCalls.push({
          id:
            functionCall.id ?? `gemini-call-${functionCall.name}-${Date.now()}`,
          name: functionCall.name ?? "",
          arguments: JSON.stringify(functionCall.args ?? {}),
        });
        // Track thoughtSignature for function call parts (required by Gemini 3)
        if (part.thoughtSignature) {
          this.toolCallSignatures.set(toolCallIndex, part.thoughtSignature);
        }
        this.state.rawToolCallEvents.push(chunk);
        isToolCallChunk = true;
      }
    }

    // Check finish reason
    if (
      candidate.finishReason &&
      candidate.finishReason !== "FINISH_REASON_UNSPECIFIED"
    ) {
      this.state.stopReason = candidate.finishReason;
      isFinal = true;
    }

    return { sseData, isToolCallChunk, isFinal };
  }

  getSSEHeaders(): Record<string, string> {
    return {
      "Content-Type": "text/event-stream; charset=utf-8",
      "Cache-Control": "no-cache",
      Connection: "keep-alive",
    };
  }

  formatTextDeltaSSE(text: string): string {
    const chunk: GeminiResponse = {
      candidates: [
        {
          content: {
            parts: [{ text }],
            role: "model",
          },
          finishReason: undefined,
          index: 0,
        },
      ],
      modelVersion: this.state.model,
    };
    return `data: ${JSON.stringify(chunk)}\n\n`;
  }

  getRawToolCallEvents(): string[] {
    return this.state.rawToolCallEvents.map((event) => {
      const restChunk = sdkResponseToRestResponse(
        event as GenerateContentResponse,
        this.model,
      );
      return `data: ${JSON.stringify(restChunk)}\n\n`;
    });
  }

  formatCompleteTextSSE(text: string): string[] {
    const chunk: GeminiResponse = {
      candidates: [
        {
          content: {
            parts: [{ text }],
            role: "model",
          },
          finishReason: "STOP",
          index: 0,
        },
      ],
      modelVersion: this.state.model || "gemini-2.5-pro",
      responseId: this.state.responseId || `gemini-${Date.now()}`,
    };
    return [`data: ${JSON.stringify(chunk)}\n\n`];
  }

  formatEndSSE(): string {
    return "data: [DONE]\n\n";
  }

  toProviderResponse(): GeminiResponse {
    const parts: Gemini.Types.MessagePart[] = [];

    // Add thought text part if present (separate from output text).
    // Gemini 3 requires thoughtSignature on all model parts when they are
    // sent back as conversation history in subsequent turns.
    if (this.thoughtText) {
      parts.push({
        text: this.thoughtText,
        thought: true,
        ...(this.thoughtTextSignature
          ? { thoughtSignature: this.thoughtTextSignature }
          : {}),
      });
    }

    // Add output text if present (non-thought text only)
    const outputText = this.state.text.slice(this.thoughtText.length);
    if (outputText) {
      parts.push({
        text: outputText,
        ...(this.outputTextSignature
          ? { thoughtSignature: this.outputTextSignature }
          : {}),
      });
    }

    // Add inline data parts (images) - already include thoughtSignature from sdkPartToRestPart
    for (const inlineDataPart of this.inlineDataParts) {
      parts.push(inlineDataPart);
    }

    // Add function calls with thoughtSignature preserved
    for (let i = 0; i < this.state.toolCalls.length; i++) {
      const toolCall = this.state.toolCalls[i];
      let parsedArgs: Record<string, unknown> = {};
      try {
        parsedArgs = JSON.parse(toolCall.arguments);
      } catch {
        // Keep empty object if parse fails
      }

      const signature = this.toolCallSignatures.get(i);
      parts.push({
        functionCall: {
          id: toolCall.id,
          name: toolCall.name,
          args: parsedArgs,
        },
        ...(signature ? { thoughtSignature: signature } : {}),
      });
    }

    return {
      candidates: [
        {
          content: {
            parts,
            role: "model",
          },
          finishReason:
            (this.state.stopReason as Gemini.Types.FinishReason) ?? "STOP",
          index: 0,
        },
      ],
      usageMetadata: this.state.usage
        ? {
            promptTokenCount: this.state.usage.inputTokens,
            candidatesTokenCount: this.state.usage.outputTokens,
            totalTokenCount:
              this.state.usage.inputTokens + this.state.usage.outputTokens,
          }
        : undefined,
      modelVersion: this.state.model,
      responseId: this.state.responseId || `gemini-${Date.now()}`,
    };
  }
}

// =============================================================================
// TOON COMPRESSION
// =============================================================================

async function convertToolResultsToToon(
  contents: GeminiContents,
  model: string,
): Promise<{
  contents: GeminiContents;
  stats: ToolCompressionStats;
}> {
  const tokenizer = getTokenizer("gemini");
  let toolResultCount = 0;
  let totalTokensBefore = 0;
  let totalTokensAfter = 0;

  const result = contents.map((content) => {
    // Only process user messages with parts containing functionResponse
    if (content.role === "user" && content.parts) {
      const updatedParts = content.parts.map((part) => {
        // Check if this part has a functionResponse
        if (
          "functionResponse" in part &&
          part.functionResponse &&
          typeof part.functionResponse === "object" &&
          "response" in part.functionResponse
        ) {
          const { functionResponse } = part;
          toolResultCount++;

          logger.info(
            {
              functionName:
                "name" in functionResponse ? functionResponse.name : "unknown",
              responseType: typeof functionResponse.response,
            },
            "Processing functionResponse for TOON conversion",
          );

          // Handle response object - try to compress it
          const response = functionResponse.response;
          if (response && typeof response === "object") {
            try {
              const noncompressed = JSON.stringify(response);
              const unwrapped = unwrapToolContent(noncompressed);
              const parsed = JSON.parse(unwrapped);
              const compressed = toonEncode(parsed);

              // Count tokens for before and after
              const tokensBefore = tokenizer.countTokens([
                { role: "user", content: noncompressed },
              ]);
              const tokensAfter = tokenizer.countTokens([
                { role: "user", content: compressed },
              ]);

              // Always count tokens
              totalTokensBefore += tokensBefore;

              // Only apply compression if it actually saves tokens
              if (tokensAfter < tokensBefore) {
                totalTokensAfter += tokensAfter;

                logger.info(
                  {
                    functionName:
                      "name" in functionResponse
                        ? functionResponse.name
                        : "unknown",
                    beforeLength: noncompressed.length,
                    afterLength: compressed.length,
                    tokensBefore,
                    tokensAfter,
                    toonPreview: compressed.substring(0, 150),
                    provider: "gemini",
                  },
                  "convertToolResultsToToon: compressed",
                );
                logger.trace(
                  {
                    functionName:
                      "name" in functionResponse
                        ? functionResponse.name
                        : "unknown",
                    before: noncompressed,
                    after: compressed,
                    provider: "gemini",
                  },
                  "convertToolResultsToToon: before/after",
                );

                // Return updated part with compressed response
                return {
                  functionResponse: {
                    ...functionResponse,
                    // Gemini expects response as Record<string, unknown>, but we now have a TOON string
                    // We wrap it in a {"tool_result": "<TOON string>"} object to match the expected format
                    response: { tool_result: compressed } as Record<
                      string,
                      unknown
                    >,
                  },
                };
              }

              // Compression not applied - count non-compressed tokens to track total tokens anyway
              totalTokensAfter += tokensBefore;
              logger.info(
                {
                  functionName:
                    "name" in functionResponse
                      ? functionResponse.name
                      : "unknown",
                  tokensBefore,
                  tokensAfter,
                  provider: "gemini",
                },
                "Skipping TOON compression - compressed output has more tokens",
              );
              return part;
            } catch {
              logger.info(
                {
                  functionName:
                    "name" in functionResponse
                      ? functionResponse.name
                      : "unknown",
                },
                "convertToolResultsToToon: skipping - response cannot be compressed",
              );
              return part;
            }
          }
        }
        return part;
      });

      return {
        ...content,
        parts: updatedParts,
      };
    }

    return content;
  });

  logger.info(
    { contentsCount: contents.length, toolResultCount },
    "convertToolResultsToToon completed",
  );

  // Calculate cost savings (always a number, 0 if no savings)
  let toonCostSavings = 0;
  const tokensSaved = totalTokensBefore - totalTokensAfter;
  if (tokensSaved > 0) {
    toonCostSavings = await ModelModel.calculateCostSavings(
      model,
      tokensSaved,
      "gemini",
    );
  }

  return {
    contents: result,
    stats: {
      tokensBefore: totalTokensBefore,
      tokensAfter: totalTokensAfter,
      costSavings: toonCostSavings,
      wasEffective: totalTokensAfter < totalTokensBefore,
      hadToolResults: toolResultCount > 0,
    },
  };
}

// =============================================================================
// ADAPTER FACTORY
// =============================================================================

// =============================================================================
// USAGE TOKEN HELPERS
// =============================================================================

export function getUsageTokens(usage: {
  promptTokenCount?: number;
  candidatesTokenCount?: number;
}) {
  return {
    input: usage.promptTokenCount,
    output: usage.candidatesTokenCount,
  };
}

// =============================================================================
// GEMINI FORMAT CONVERSION UTILITIES
// =============================================================================

/**
 * Generate a consistent tool call ID for function responses that don't have one
 * This is needed because Gemini's function responses may not always have an ID
 */
function generateToolCallId(functionName: string): string {
  return `gemini-tool-${functionName}-${Date.now()}`;
}

/**
 * Convert SDK Part format to REST API MessagePart format
 */
function sdkPartToRestPart(sdkPart: Part): Gemini.Types.MessagePart {
  // Text part
  if (sdkPart.text !== undefined) {
    return {
      text: sdkPart.text,
      thought: sdkPart.thought,
      thoughtSignature: sdkPart.thoughtSignature,
      metadata: sdkPart.videoMetadata,
    };
  }

  // Function call part
  if (sdkPart.functionCall !== undefined) {
    return {
      functionCall: {
        name: sdkPart.functionCall.name ?? "unknown_function",
        id: sdkPart.functionCall.id,
        args: sdkPart.functionCall.args,
      },
      thought: sdkPart.thought,
      thoughtSignature: sdkPart.thoughtSignature,
      metadata: sdkPart.videoMetadata,
    };
  }

  // Function response part
  if (sdkPart.functionResponse !== undefined) {
    return {
      functionResponse: {
        name: sdkPart.functionResponse.name ?? "unknown_function",
        id: sdkPart.functionResponse.id,
        response: sdkPart.functionResponse.response || {},
        willContinue: sdkPart.functionResponse.willContinue,
        scheduling: sdkPart.functionResponse.scheduling,
      },
      thought: sdkPart.thought,
      thoughtSignature: sdkPart.thoughtSignature,
      metadata: sdkPart.videoMetadata,
    };
  }

  // Inline data part
  if (sdkPart.inlineData !== undefined) {
    return {
      inlineData: {
        mimeType: sdkPart.inlineData.mimeType,
        data: sdkPart.inlineData.data ?? "unknown_data",
      },
      thought: sdkPart.thought,
      thoughtSignature: sdkPart.thoughtSignature,
      metadata: sdkPart.videoMetadata,
    };
  }

  // File data part
  if (sdkPart.fileData !== undefined) {
    return {
      fileData: {
        mimeType: sdkPart.fileData.mimeType ?? "",
        fileUri: sdkPart.fileData.fileUri ?? "",
      },
      thought: sdkPart.thought,
      thoughtSignature: sdkPart.thoughtSignature,
      metadata: sdkPart.videoMetadata,
    };
  }

  // Executable code part
  if (sdkPart.executableCode !== undefined) {
    return {
      language:
        sdkPart.executableCode.language || ("LANGUAGE_UNSPECIFIED" as const),
      executableCode: {
        code: sdkPart.executableCode.code ?? "",
      },
      thought: sdkPart.thought,
      thoughtSignature: sdkPart.thoughtSignature,
      metadata: sdkPart.videoMetadata,
    };
  }

  // Code execution result part
  if (sdkPart.codeExecutionResult !== undefined) {
    return {
      codeExecutionResult: {
        outcome:
          sdkPart.codeExecutionResult.outcome ||
          ("OUTCOME_UNSPECIFIED" as const),
        output: sdkPart.codeExecutionResult.output,
      },
      thought: sdkPart.thought,
      thoughtSignature: sdkPart.thoughtSignature,
      metadata: sdkPart.videoMetadata,
    };
  }

  // Fallback - return text part with empty text
  return {
    text: "",
  };
}

/**
 * Convert SDK Candidate format to REST API Candidate format
 */
function sdkCandidateToRestCandidate(
  sdkCandidate: Candidate,
): Gemini.Types.Candidate {
  return {
    content: {
      role: sdkCandidate.content?.role || "model",
      parts: sdkCandidate.content?.parts?.map(sdkPartToRestPart) || [],
    },
    finishReason: sdkCandidate.finishReason,
    safetyRatings: sdkCandidate.safetyRatings
      ?.filter(
        (
          rating,
        ): rating is {
          category: HarmCategory;
          probability: HarmProbability;
          blocked?: boolean;
        } => rating.category !== undefined && rating.probability !== undefined,
      )
      .map((rating) => ({
        category: rating.category,
        probability: rating.probability,
        blocked: rating.blocked,
      })) as Gemini.Types.Candidate["safetyRatings"],
    citationMetadata: sdkCandidate.citationMetadata?.citations
      ? ({
          citationSources: sdkCandidate.citationMetadata.citations.map(
            (source) => ({
              startIndex: source.startIndex,
              endIndex: source.endIndex,
              uri: source.uri,
              license: source.license,
            }),
          ),
        } as Gemini.Types.Candidate["citationMetadata"])
      : undefined,
    tokenCount: sdkCandidate.tokenCount,
    groundingMetadata: sdkCandidate.groundingMetadata,
    avgLogprobs: sdkCandidate.avgLogprobs,
    logprobsResult: sdkCandidate.logprobsResult,
    index: sdkCandidate.index ?? 0,
    finishMessage: sdkCandidate.finishMessage,
  } as Gemini.Types.Candidate;
}

/**
 * Convert SDK GenerateContentResponse to REST API GenerateContentResponse
 */
function sdkResponseToRestResponse(
  sdkResponse: GenerateContentResponse,
  modelName: string,
): Gemini.Types.GenerateContentResponse {
  return {
    candidates: sdkResponse.candidates?.map(sdkCandidateToRestCandidate) || [],
    promptFeedback: sdkResponse.promptFeedback
      ? {
          blockReason: sdkResponse.promptFeedback.blockReason,
          safetyRatings:
            sdkResponse.promptFeedback.safetyRatings
              ?.filter(
                (
                  rating,
                ): rating is {
                  category: HarmCategory;
                  probability: HarmProbability;
                  blocked?: boolean;
                } =>
                  rating.category !== undefined &&
                  rating.probability !== undefined,
              )
              .map((rating) => ({
                category: rating.category,
                probability: rating.probability,
                blocked: rating.blocked,
              })) || [],
        }
      : undefined,
    usageMetadata: sdkResponse.usageMetadata,
    modelVersion: sdkResponse.modelVersion || modelName,
    responseId: sdkResponse.responseId || "unknown",
  } as Gemini.Types.GenerateContentResponse;
}

/**
 * Convert a Gemini REST-style GenerateContentRequest body into the SDK's
 * GenerateContentParameters shape. The SDK and REST shapes differ significantly:
 * - SDK expects contents as an array of Content objects
 * - SDK expects tools, systemInstruction, and generationConfig at top level
 * - SDK doesn't use a nested "config" object for these parameters
 *
 * Note: Gemini SDK and REST API have different schemas. See:
 * https://ai.google.dev/api/generate-content
 */
function restToSdkGenerateContentParams(
  body: Partial<Gemini.Types.GenerateContentRequest>,
  model: string,
  mergedTools?: Gemini.Types.Tool[] | undefined,
): GenerateContentParameters {
  // Build a partial params object and cast at the end. Use Partial<> to keep
  // strong typing while allowing incremental population.
  const params: Partial<GenerateContentParameters> = {
    model,
    contents: [],
    config: {} as GenerateContentConfig,
  };

  if (Array.isArray(body.contents)) {
    params.contents = body.contents as GenerateContentParameters["contents"];
  } else {
    params.contents = [] as GenerateContentParameters["contents"];
  }

  if (body.generationConfig) {
    params.config =
      body.generationConfig as GenerateContentParameters["config"];
  } else {
    const generationConfig: Record<string, unknown> = {};
    const configKeys = [
      "temperature",
      "maxOutputTokens",
      "candidateCount",
      "topP",
      "topK",
      "stopSequences",
    ];
    for (const k of configKeys) {
      const val = (body as Record<string, unknown>)[k];
      if (val !== undefined) generationConfig[k] = val;
    }
    if (Object.keys(generationConfig).length > 0) {
      params.config = generationConfig as GenerateContentParameters["config"];
    }
  }
  if (params.config === undefined) {
    params.config = {} as GenerateContentConfig;
  }
  if (mergedTools && mergedTools.length > 0) {
    const sdkTools = mergedTools.map((t) => {
      const functionDeclarations = t.functionDeclarations?.map((fd) => {
        const mappedBehavior = fd.behavior
          ? (Behavior as Record<string, Behavior>)[fd.behavior]
          : undefined;
        return {
          name: fd.name,
          description: fd.description,
          behavior: mappedBehavior,
          parameters: fd.parameters,
          parametersJsonSchema: fd.parametersJsonSchema,
          response: fd.response,
          responseJsonSchema: fd.responseJsonSchema,
        };
      });

      return {
        ...t,
        functionDeclarations,
      } as unknown as Record<string, unknown>;
    });

    params.config.tools = sdkTools;
  }

  if (body.systemInstruction) {
    params.config.systemInstruction = { ...body.systemInstruction };
  }

  return params as GenerateContentParameters;
}

export const geminiAdapterFactory: LLMProvider<
  GeminiRequestWithModel,
  GeminiResponse,
  GeminiContents,
  GeminiStreamChunk,
  GeminiHeaders
> = {
  provider: "gemini",
  interactionType: "gemini:generateContent",

  createRequestAdapter(
    request: GeminiRequestWithModel,
  ): LLMRequestAdapter<GeminiRequestWithModel, GeminiContents> {
    return new GeminiRequestAdapter(request);
  },

  createResponseAdapter(
    response: GeminiResponse,
  ): LLMResponseAdapter<GeminiResponse> {
    return new GeminiResponseAdapter(response);
  },

  createStreamAdapter(): LLMStreamAdapter<GeminiStreamChunk, GeminiResponse> {
    return new GeminiStreamAdapter();
  },

  extractApiKey(headers: GeminiHeaders): string | undefined {
    return headers["x-goog-api-key"];
  },

  getBaseUrl(): string | undefined {
    return config.llm.gemini.baseUrl;
  },

  spanName: "generate_content",

  createClient(
    apiKey: string | undefined,
    options: CreateClientOptions,
  ): GoogleGenAI {
    const client = createGoogleGenAIClient(
      apiKey,
      "[GeminiProxyV2]",
      options.baseUrl,
    );

    // Wrap with observability for request duration metrics
    if (options.agent) {
      return metrics.llm.getObservableGenAI(
        client,
        options.agent,
        options.source,
        options.externalAgentId,
      );
    }
    return client;
  },

  async execute(
    client: unknown,
    request: GeminiRequestWithModel,
  ): Promise<GeminiResponse> {
    const genAI = client as GoogleGenAI;
    const model = request._model ?? "gemini-2.5-pro";

    // Normalize tools to array
    const tools = request.tools
      ? Array.isArray(request.tools)
        ? request.tools
        : [request.tools]
      : undefined;

    // Convert REST body to SDK params
    const sdkParams = restToSdkGenerateContentParams(
      { ...request, contents: request.contents || [] },
      model,
      tools,
    );

    const response = await genAI.models.generateContent(
      sdkParams as GenerateContentParameters,
    );

    // Convert SDK response to REST format
    return sdkResponseToRestResponse(response, model);
  },

  async executeStream(
    client: unknown,
    request: GeminiRequestWithModel,
  ): Promise<AsyncIterable<GeminiStreamChunk>> {
    const genAI = client as GoogleGenAI;
    const model = request._model ?? "gemini-2.5-pro";

    // Normalize tools to array
    const tools = request.tools
      ? Array.isArray(request.tools)
        ? request.tools
        : [request.tools]
      : undefined;

    // Convert REST body to SDK params
    const sdkParams = restToSdkGenerateContentParams(
      { ...request, contents: request.contents || [] },
      model,
      tools,
    );

    const streamingResponse = await genAI.models.generateContentStream(
      sdkParams as GenerateContentParameters,
    );

    // Return async iterable that yields stream chunks
    return {
      [Symbol.asyncIterator]: async function* () {
        for await (const chunk of streamingResponse) {
          yield chunk;
        }
      },
    };
  },

  extractInternalCode(error: unknown): ArchestraInternalErrorCode | undefined {
    // Gemini returns INVALID_ARGUMENT for context overflow with phrasing
    // like "The input token count (X) exceeds the maximum number of tokens
    // allowed (Y)". The ErrorInfo details array does not carry a structured
    // reason for this case, so message sniffing is the only signal. The
    // status and message can appear at the top level or nested under
    // `error`.
    const status: unknown = get(error, "error.status") ?? get(error, "status");
    if (status !== "INVALID_ARGUMENT") return undefined;
    const message: unknown =
      get(error, "error.message") ?? get(error, "message");
    if (typeof message !== "string") return undefined;
    const msg = message.toLowerCase();
    if (
      msg.includes("input token count") ||
      msg.includes("exceeds the maximum number of tokens")
    ) {
      return ArchestraInternalErrorCode.ContextLengthExceeded;
    }
    return undefined;
  },

  extractErrorMessage(error: unknown): string {
    // Gemini SDK error structure
    const geminiMessage = get(error, "message");
    if (typeof geminiMessage === "string") {
      return geminiMessage;
    }

    const nestedMessage = get(error, "error.message");
    if (typeof nestedMessage === "string") {
      return nestedMessage;
    }

    if (error instanceof Error) {
      return error.message;
    }

    return "Internal server error";
  },
};
