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seraph-agent

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An extremely lightweight, SRE autonomous AI agent for seamless integration with common observability tasks.

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"use strict"; Object.defineProperty(exports, "__esModule", { value: true }); exports.MitigationClient = void 0; class MitigationClient { config; constructor(config) { this.config = config; } async requestMitigation(context) { console.log('[MitigationClient] Requesting mitigation with context:', JSON.stringify(context, null, 2)); // In a real-world scenario, this is where you would integrate with another // AI agent (e.g., Gemini, Claude) via an API call. /* // Example of integrating with an external AI agent API: const mitigationAgentUrl = 'https://api.example-code-agent.com/v1/mitigate'; try { const response = await fetch(mitigationAgentUrl, { method: 'POST', headers: { 'Content-Type': 'application/json', // The API key should be securely managed, e.g., via environment variables // or a secret management service, loaded into the config. 'Authorization': `Bearer ${this.config.mitigationAgentApiKey}`, }, // The body would be structured according to the Model Context Protocol (MCP) // or the specific agent's API requirements. body: JSON.stringify({ protocol: 'mcp/v1', context: { ...context, // Add more rich context for the code agent project: 'my-web-app', environment: 'production', suspected_file: '/srv/app/handlers/checkout.js', } }), }); if (!response.ok) { throw new Error(`Mitigation agent returned an error: ${response.statusText}`); } const mitigationResponse = await response.json(); console.log('[MitigationClient] Received mitigation suggestion:', mitigationResponse); // Here you could trigger an automated action based on the response, // like applying a code patch, opening a pull request, or rolling back a deploy. } catch (error) { console.error('[MitigationClient] Failed to request mitigation:', error); } */ } } exports.MitigationClient = MitigationClient;