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// Initialize once\n// --- NEW YAHOO FINANCE CLIENT ---\nconst yahooFinance = new YahooFinance();\n\n// --- LOGGER FUNCTION ---\nconst createLogger = (logs: LogEntry[], component: string) => {\n return (\n level: \"INFO\" | \"WARN\" | \"ERROR\" | \"SUCCESS\",\n message: string,\n details?: any,\n ) => {\n logs.push({\n timestamp: new Date().toISOString(),\n component,\n level,\n message,\n details: details ? String(details) : undefined,\n });\n };\n};\n\n// --- TOOL IMPLEMENTATIONS ---\n\nasync function handleHttpFetch(\n payload: {\n url: string;\n method?: string;\n headers?: Record;\n body?: any;\n },\n log: ReturnType,\n): Promise {\n const { url, method = \"GET\", headers = {}, body } = payload;\n log(\"INFO\", `Fetching URL: ${method} ${url}`);\n try {\n const resp = await fetch(url, {\n method,\n headers: { \"Content-Type\": \"application/json\", ...headers },\n body: body ? JSON.stringify(body) : undefined,\n });\n const responseText = await resp.text();\n if (!resp.ok) {\n throw new Error(\n `HTTP Error ${resp.status}: ${responseText.substring(0, 200)}`,\n );\n }\n try {\n log(\"SUCCESS\", \"Fetch successful, parsing JSON.\");\n return JSON.parse(responseText);\n } catch (e) {\n log(\"INFO\", \"Response is not JSON, returning as text.\");\n return responseText;\n }\n } catch (e) {\n log(\"ERROR\", `Fetch failed: ${e.message}`, e.stack);\n throw e;\n }\n}\n\nasync function handleOpenAICall(\n payload: {\n messages: any[];\n model?: string;\n stream?: boolean;\n response_format?: { type: \"json_object\" };\n [key: string]: any;\n },\n log: ReturnType,\n): Promise {\n const { messages, model = \"gpt-4o-mini\", stream, ...rest } = payload;\n log(\"INFO\", `Calling OpenAI model: ${model}`, { stream: !!stream, ...rest });\n try {\n return await openai.chat.completions.create({\n model,\n messages,\n stream: !!stream, // Ensure stream is a boolean\n ...rest,\n });\n } catch (e) {\n log(\"ERROR\", `OpenAI call failed: ${e.message}`, e.stack);\n throw e;\n }\n}\n\nasync function handleTextManipulation(\n payload: {\n operation:\n | \"toUpperCase\"\n | \"toLowerCase\"\n | \"reverse\"\n | \"wordCount\"\n | \"length\";\n text: string;\n },\n log: ReturnType,\n): Promise<{ result: any }> {\n log(\"INFO\", `Performing text operation: ${payload.operation}`);\n const { operation, text } = payload;\n let result: any;\n switch (operation) {\n case \"toUpperCase\":\n result = text.toUpperCase();\n break;\n case \"toLowerCase\":\n result = text.toLowerCase();\n break;\n case \"reverse\":\n result = text.split(\"\").reverse().join(\"\");\n break;\n case \"wordCount\":\n result = text.trim().split(/\\s+/).length;\n break;\n case \"length\":\n result = text.length;\n break;\n default:\n log(\"ERROR\", `Unknown text operation: ${operation}`);\n throw new Error(`Unknown text operation: ${operation}`);\n }\n log(\"SUCCESS\", \"Text operation complete.\");\n return { result };\n}\n\n/**\n * NEW TOOL: Based on Metaflow's /api/evaluate\n */\nasync function handleQaEvaluation(\n payload: {\n briefing: string;\n first_draft: string;\n },\n log: ReturnType,\n): Promise {\n const { briefing, first_draft } = payload;\n log(\"INFO\", \"Starting QA Evaluation tool.\");\n try {\n // 1. Generate Success Criteria\n const criteriaPrompt = config.prompts.SUCCESS_CRITERIA_GENERATOR.replace(\n \"{{task_briefing}}\",\n briefing,\n );\n const criteriaCompletion = await handleOpenAICall({\n model: config.models.minor,\n response_format: { type: \"json_object\" },\n messages: [\n { role: \"system\", content: \"You are a JSON-only QA analyst.\" },\n {\n role: \"user\",\n content: criteriaPrompt,\n },\n ],\n }, log);\n\n const criteriaContent = criteriaCompletion.choices[0].message.content;\n const criteria = JSON.parse(criteriaContent).criteria;\n log(\"INFO\", \"Generated success criteria\", criteria);\n\n // 2. Generate Evaluation\n const evalPayload = {\n task_briefing: briefing,\n success_criteria: criteria,\n raw_output: first_draft,\n };\n const evalCompletion = await handleOpenAICall({\n model: config.models.minor,\n response_format: { type: \"json_object\" },\n messages: [{ role: \"system\", content: config.prompts.EVALUATOR_AGENT }, {\n role: \"user\",\n content: JSON.stringify(evalPayload),\n }],\n }, log);\n\n log(\"SUCCESS\", \"QA Evaluation complete.\");\n return JSON.parse(evalCompletion.choices[0].message.content);\n } catch (e) {\n log(\"ERROR\", `QA Evaluation failed: ${e.message}`, e.stack);\n throw e;\n }\n}\n\n/**\n * NEW TOOL: Based on Metaflow's /api/refine\n */\nasync function handleRefinement(\n payload: {\n briefing: string;\n first_draft: string;\n critique: string;\n language?: string;\n stream?: boolean; // Make refinement streamable\n },\n log: ReturnType,\n): Promise {\n const {\n briefing,\n first_draft,\n critique,\n language = \"English\",\n stream = false,\n } = payload;\n log(\"INFO\", \"Starting Refinement tool.\");\n\n const userContent = `# YOUR TASK\nRewrite your first draft to fully address every point in the critique, elevating the work to a 10/10 standard. Return only the improved final deliverable. Do not write an apology, explanation, or any meta-commentary. Produce the new, superior output in the requested language: ${language}.\n## Original Briefing\n${briefing}\n## Your First Draft\n${first_draft}\n## QA Critique\n${critique}`;\n\n try {\n const result = await handleOpenAICall({\n model: config.models.major, // Use best model for refinement\n messages: [{ role: \"system\", content: config.prompts.REFINER_AGENT }, {\n role: \"user\",\n content: userContent,\n }],\n stream: stream,\n }, log);\n\n log(\"SUCCESS\", \"Refinement complete.\");\n return result;\n } catch (e) {\n log(\"ERROR\", `Refinement failed: ${e.message}`, e.stack);\n throw e;\n }\n}\n\n// --- *** NEW YAHOO FINANCE TOOL IMPLEMENTATION *** ---\nasync function handleYahooFinance(\n payload: {\n module:\n | \"search\"\n | \"quote\"\n | \"quoteSummary\"\n | \"trendingSymbols\"\n | \"recommendationsBySymbol\";\n query: string;\n options?: any;\n },\n log: ReturnType,\n): Promise {\n const { module, query, options = {} } = payload;\n log(\"INFO\", `Running Yahoo Finance module: ${module}`, { query, options });\n\n if (!module || !query) {\n throw new Error(\n \"Missing required 'module' or 'query' for yahoo_finance tool\",\n );\n }\n\n try {\n let result: any;\n switch (module) {\n case \"search\":\n result = await yahooFinance.search(query, options);\n break;\n case \"quote\":\n result = await yahooFinance.quote(query, options);\n break;\n case \"quoteSummary\":\n result = await yahooFinance.quoteSummary(query, options);\n break;\n case \"trendingSymbols\":\n // 'query' here is the region, e.g., 'US', 'GB'\n result = await yahooFinance.trendingSymbols(query, options);\n break;\n case \"recommendationsBySymbol\":\n result = await yahooFinance.recommendationsBySymbol(query, options);\n break;\n default:\n log(\"ERROR\", `Unknown yahoo-finance module: ${module}`);\n throw new Error(`Unknown yahoo-finance module: ${module}`);\n }\n log(\"SUCCESS\", \"Yahoo Finance tool executed successfully.\");\n return result;\n } catch (e) {\n log(\"ERROR\", `Yahoo Finance tool failed: ${e.message}`, e.stack);\n throw e;\n }\n}\n\n// --- TOOL REGISTRY (NOW EXPANDED) ---\nconst toolRegistry = {\n \"http_fetch\": handleHttpFetch,\n \"openai_call\": handleOpenAICall,\n \"text_manipulation\": handleTextManipulation,\n \"qa_evaluation\": handleQaEvaluation, // NEW\n \"refinement\": handleRefinement, // NEW\n \"yahoo_finance\": handleYahooFinance, // --- NEWLY ADDED ---\n};\n\n// --- HONO APPLICATION ---\nconst app = new Hono();\n\n// 1. Frontend Route (Serves the new \"cool\" UI)\napp.get(\"/\", (c: Context) => {\n return c.html(generateWorkflowFrontend(c.req.url));\n});\n\n/**\n * 2. NEW BRAIN: The Orchestrator Agent Endpoint\n * This replaces all of Metaflow's generation/definition endpoints.\n */\napp.post(\"/api/generate-workflow\", async (c: Context) => {\n const { goal, context } = await c.req.json();\n if (!goal) return c.json({ error: \"User goal is required\" }, 400);\n\n const logs: LogEntry[] = [];\n const log = createLogger(logs, \"Orchestrator\");\n\n log(\"INFO\", \"Generating new workflow for goal:\", goal);\n\n const systemPrompt = config.prompts.WORKFLOW_GENERATOR;\n const userContent = `\n# USER GOAL\n${goal}\n\n# AVAILABLE TOOLS\n${JSON.stringify(toolManifest, null, 2)}\n\n# CONTEXT (User's company info)\n${JSON.stringify(context, null, 2)}\n\n# TASK\nGenerate the workflow JSON now.\n`;\n\n try {\n const response = await handleOpenAICall({\n model: config.models.major, // Use your best model\n response_format: { type: \"json_object\" },\n messages: [{ role: \"system\", content: systemPrompt }, {\n role: \"user\",\n content: userContent,\n }],\n }, log);\n\n const workflowJson = JSON.parse(response.choices[0].message.content);\n log(\"SUCCESS\", \"Workflow generated successfully.\");\n\n return c.json({ workflow: workflowJson, logs });\n } catch (e) {\n log(\"ERROR\", `Workflow generation failed: ${e.message}`, e.stack);\n return c.json({ error: e.message, logs }, 500);\n }\n});\n\n// 3. Tool Execution Route (Your existing engine API)\napp.post(\"/api/tools/:toolName\", async (c: Context) => {\n const { toolName } = c.req.param();\n const tool = toolRegistry[toolName];\n if (!tool) return c.json({ error: `Unknown tool: ${toolName}` }, 404);\n\n let reqBody;\n try {\n reqBody = await c.req.json();\n } catch (e) {\n return c.json({ error: \"Invalid JSON body\" }, 400);\n }\n\n const { workflowInstanceId, stepId, payload } = reqBody;\n if (!workflowInstanceId || !stepId || !payload) {\n return c.json(\n { error: \"Missing workflowInstanceId, stepId, or payload\" },\n 400,\n );\n }\n\n const logs: LogEntry[] = [];\n const log = createLogger(logs, `Tool:${toolName}:${stepId}`);\n\n try {\n // Handle streaming for any tool that supports it\n const isStreaming =\n (toolName === \"openai_call\" || toolName === \"refinement\") &&\n payload.stream === true;\n\n if (isStreaming) {\n log(\"INFO\", \"Starting streaming response\");\n const stream = await tool(payload, log);\n return streamText(c, async (s) => {\n try {\n for await (const part of stream) {\n const content = part.choices[0]?.delta?.content || \"\";\n if (content) await s.write(content);\n }\n log(\"SUCCESS\", \"Stream completed successfully\");\n } catch (e) {\n log(\"ERROR\", \"Stream error\", e.message);\n await s.write(`\\n\\n[ERROR: ${e.message}]`);\n }\n });\n }\n\n // Handle regular, non-streaming tools\n const responsePayload = await tool(payload, log);\n return c.json({\n workflowInstanceId,\n stepId,\n payload: responsePayload,\n logs: logs,\n });\n } catch (e) {\n log(\"ERROR\", e.message, e.stack);\n return c.json({\n workflowInstanceId,\n stepId,\n payload: null,\n logs: logs,\n error: e.message,\n }, 500);\n }\n});\n\nexport default app.fetch;","deleted","label","skynet",[99],"permalink","https://www.val.town/x/Aperture/test5/code/main.ts","extension","actionData","errors"]