gaunt-sloth-assistant/dist/presets/anthropic.js

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import { displayInfo, displayWarning } from '#src/consoleUtils.js';
import { debugLog, debugLogError } from '#src/debugUtils.js';
import { env } from '#src/systemUtils.js';
import { writeFileIfNotExistsWithMessages } from '#src/utils.js';
import { isAIMessage } from '@langchain/core/messages';
/**
 * Function to process JSON config and create Anthropic LLM instance
 */
// noinspection JSUnusedGlobalSymbols
export async function processJsonConfig(llmConfig) {
    const anthropic = await import('@langchain/anthropic');
    // Use config value if available, otherwise use the environment variable
    const anthropicApiKey = llmConfig.apiKey || env.ANTHROPIC_API_KEY;
    return new anthropic.ChatAnthropic({
        ...llmConfig,
        apiKey: anthropicApiKey,
        model: llmConfig.model || 'claude-sonnet-4-20250514',
    });
}
const jsonContent = `{
  "llm": {
    "type": "anthropic",
    "model": "claude-sonnet-4-20250514"
  }
}`;
// noinspection JSUnusedGlobalSymbols
export function init(configFileName) {
    // Determine which content to use based on file extension
    if (!configFileName.endsWith('.json')) {
        throw new Error('Only JSON config is supported.');
    }
    writeFileIfNotExistsWithMessages(configFileName, jsonContent);
    displayWarning(`You need to update your ${configFileName} to add your Anthropic API key, ` +
        'or define ANTHROPIC_API_KEY environment variable.');
}
// noinspection JSUnusedGlobalSymbols
export function postProcessJsonConfig(config) {
    // eslint-disable-next-line
    if (config.hooks?.postModelHook === 'skip') {
        return {
            ...config,
            hooks: { ...config.hooks, postModelHook: undefined },
        };
    }
    displayInfo('Applying Anthropic post-processing to config.');
    return {
        ...config,
        hooks: { ...config.hooks, postModelHook: config.hooks?.postModelHook || postModelHook },
    };
}
/**
 * There's something off with calling server tools with ReAct agent,
 * the tool is not added in react_agent_executor because it is not Runnable,
 * but the tool_node explodes because LLM reports calling non-existing tool.
 * This method removes tool calls from messages, leaving the resulting content.
 * This method seems unnecessary with OpenAI, but is needed for Anthropic,
 * OpenAI does not need a name on the tool and does not seem to return server_tool_use.
 */
export function postModelHook(state) {
    try {
        const lastMessage = state.messages[state.messages.length - 1];
        if (isAIMessage(lastMessage) && lastMessage.tool_calls && Array.isArray(lastMessage.content)) {
            const serverToolsCalled = lastMessage.content
                .filter((content) => content.type == 'server_tool_use' && content.name)
                .map((content) => content.name);
            debugLog('found server tool calls ' + serverToolsCalled.join(','));
            lastMessage.tool_calls = lastMessage.tool_calls.filter((tc) => !serverToolsCalled.includes(tc.name));
        }
        return state;
    }
    catch (e) {
        debugLogError('removeServerToolCalls error', e);
        return state;
    }
}
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