kontrans.pagedev.pl/node_modules/@lowire/loop/lib/providers/google.js

"use strict";
/**
 * Copyright (c) Microsoft Corporation.
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 * http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */
Object.defineProperty(exports, "__esModule", { value: true });
exports.Google = void 0;
const fetchWithTimeout_1 = require("../fetchWithTimeout");
const types_1 = require("../types");
class Google {
    name = 'google';
    async complete(conversation, options) {
        const contents = conversation.messages.map(toGeminiContent).flat();
        const { response, error } = await create(options.model ?? 'gemini-2.5-pro', {
            systemInstruction: {
                role: 'system',
                parts: [
                    { text: systemPrompt(conversation.systemPrompt) }
                ]
            },
            contents,
            tools: conversation.tools.length > 0 ? [{ functionDeclarations: conversation.tools.map(toGeminiTool) }] : undefined,
            generationConfig: {
                temperature: options.temperature,
                maxOutputTokens: options.maxTokens
            },
        }, options);
        const [candidate] = response?.candidates ?? [];
        if (error || !response || !candidate)
            return { result: (0, types_1.assistantMessageFromError)(error ?? 'No response from Google API'), usage: (0, types_1.emptyUsage)() };
        const usage = {
            input: response.usageMetadata?.promptTokenCount ?? 0,
            output: response.usageMetadata?.candidatesTokenCount ?? 0,
        };
        const result = toAssistantMessage(candidate);
        return { result, usage };
    }
}
exports.Google = Google;
async function create(model, createParams, options) {
    const debugBody = { ...createParams, tools: `${createParams.tools?.length ?? 0} tools` };
    options.debug?.('lowire:google')('Request:', JSON.stringify(debugBody, null, 2));
    const response = await (0, fetchWithTimeout_1.fetchWithTimeout)(options.apiEndpoint ?? `https://generativelanguage.googleapis.com/v1beta/models/${model}:generateContent`, {
        method: 'POST',
        headers: {
            'Content-Type': 'application/json',
            'x-goog-api-key': options.apiKey,
        },
        body: JSON.stringify(createParams),
        signal: options.signal,
        timeout: options.apiTimeout
    });
    if (!response.ok) {
        options.debug?.('lowire:google')('Response:', response.status);
        return { error: `API error: ${response.status} ${response.statusText} ${await response.text()}` };
    }
    const responseBody = await response.json();
    options.debug?.('lowire:google')('Response:', JSON.stringify(responseBody, null, 2));
    return { response: responseBody };
}
function toGeminiTool(tool) {
    return {
        name: tool.name,
        description: tool.description,
        parameters: stripUnsupportedSchemaFields(tool.inputSchema),
    };
}
function stripUnsupportedSchemaFields(schema) {
    if (!schema || typeof schema !== 'object')
        return schema;
    const cleaned = Array.isArray(schema) ? [...schema] : { ...schema };
    delete cleaned.additionalProperties;
    delete cleaned.$schema;
    for (const key in cleaned) {
        if (cleaned[key] && typeof cleaned[key] === 'object')
            cleaned[key] = stripUnsupportedSchemaFields(cleaned[key]);
    }
    return cleaned;
}
function toAssistantMessage(candidate) {
    const stopReason = { code: 'ok' };
    if (candidate.finishReason === 'MAX_TOKENS')
        stopReason.code = 'max_tokens';
    return {
        role: 'assistant',
        content: (candidate.content.parts || []).map(toContentPart).filter(Boolean),
        stopReason,
    };
}
function toContentPart(part) {
    if (part.text) {
        return {
            type: 'text',
            text: part.text,
            googleThoughtSignature: part.thoughtSignature,
        };
    }
    if (part.functionCall) {
        return {
            type: 'tool_call',
            name: part.functionCall.name,
            arguments: part.functionCall.args,
            id: `call_${Math.random().toString(36).substring(2, 15)}`,
            googleThoughtSignature: part.thoughtSignature,
        };
    }
    return null;
}
function toGeminiContent(message) {
    if (message.role === 'user') {
        return [{
                role: 'user',
                parts: [{ text: message.content }]
            }];
    }
    if (message.role === 'assistant') {
        const parts = [];
        const toolResults = [];
        for (const part of message.content) {
            if (part.type === 'text') {
                parts.push({
                    text: part.text,
                    thoughtSignature: part.googleThoughtSignature,
                });
                continue;
            }
            if (part.type === 'tool_call') {
                parts.push({
                    functionCall: {
                        name: part.name,
                        args: part.arguments
                    },
                    thoughtSignature: part.googleThoughtSignature,
                });
                if (part.result)
                    toolResults.push(...toGeminiToolResult(part, part.result));
            }
        }
        if (message.toolError) {
            toolResults.push({
                role: 'user',
                parts: [{
                        text: message.toolError,
                    }]
            });
        }
        return [{
                role: 'model',
                parts
            }, ...toolResults];
    }
    throw new Error(`Unsupported message role: ${message.role}`);
}
function toGeminiToolResult(call, toolResult) {
    const responseContent = {};
    const textParts = [];
    const inlineDatas = [];
    for (const part of toolResult.content) {
        if (part.type === 'text') {
            textParts.push(part.text);
        }
        else if (part.type === 'image') {
            // Store image data for inclusion in response
            inlineDatas.push({
                inline_data: {
                    mime_type: part.mimeType,
                    data: part.data
                }
            });
        }
    }
    if (textParts.length > 0)
        responseContent.result = textParts.join('\n');
    const result = [{
            role: 'function',
            parts: [{
                    functionResponse: {
                        name: call.name,
                        response: responseContent
                    }
                }]
        }];
    if (inlineDatas.length > 0) {
        result.push({
            role: 'user',
            parts: inlineDatas
        });
    }
    return result;
}
const systemPrompt = (prompt) => `
### System instructions

${prompt}

### Tool calling instructions
- Make sure every message contains a tool call.
- When you use a tool, you may provide a brief thought or explanation in the content field
  immediately before the tool_call. Do not split this into separate messages.
- Every reply must include a tool call.
`;