Emergent

Describe the workflow you want to build.

\n \n

Tip: Be descriptive for the best results! Aim for at least 5 words.

\n \n \n \n `;\n}\n\n// --- BACKEND: The Hono API Server (Unchanged) ---\nconst app = new Hono();\n\nasync function callOpenAI(c, messages, response_format = { type: \"text\" }) {\n const openai = new OpenAI();\n const completion = await openai.chat.completions.create({\n model: \"gpt-4o\",\n messages: messages,\n response_format: response_format,\n });\n\n if (!completion || !completion.choices || completion.choices.length === 0) {\n console.error(\"Invalid response from OpenAI API:\", JSON.stringify(completion, null, 2));\n throw new Error(\"The AI service returned an invalid or empty response.\");\n }\n\n return completion.choices[0].message.content;\n}\n\napp.post(\"/api/plan-workflow\", async (c) => {\n const { goal } = await c.req.json();\n try {\n const messages = [{ role: \"system\", content: META_PROMPTS.WORKFLOW_PLANNER.replace(\"{{goal}}\", goal) }];\n const planJson = await callOpenAI(c, messages, { type: \"json_object\" });\n return c.json(JSON.parse(planJson));\n } catch (e) {\n console.warn(\"Initial workflow planning failed. Retrying...\", e);\n try {\n const retryMessages = [{\n role: \"system\",\n content: META_PROMPTS.WORKFLOW_PLANNER_RETRY.replace(\"{{goal}}\", goal),\n }];\n const retryPlanJson = await callOpenAI(c, retryMessages, { type: \"json_object\" });\n return c.json(JSON.parse(retryPlanJson));\n } catch (retryError) {\n console.error(\"Workflow planning retry failed:\", retryError);\n return c.json(\n { details: \"The AI failed to create a valid workflow plan. Please try rephrasing your goal.\" },\n 500,\n );\n }\n }\n});\n\napp.post(\"/api/generate-step-ui\", async (c) => {\n try {\n const { task, context } = await c.req.json();\n const contextString = JSON.stringify(context, null, 2);\n\n // The architect now has smarter logic to decide if inputs are needed\n const architectMessages = [{\n role: \"system\",\n content: META_PROMPTS.TASK_ARCHITECT.replace(\"{{task}}\", task).replace(\"{{context}}\", contextString),\n }];\n const specJson = await callOpenAI(c, architectMessages, { type: \"json_object\" });\n const spec = JSON.parse(specJson);\n\n // The UI builder only runs if the architect actually defines inputs\n let uiJson = \"{\\\"inputs\\\":[]}\";\n if (spec.inputs && spec.inputs.length > 0) {\n const uiBuilderMessages = [{ role: \"system\", content: META_PROMPTS.UI_BUILDER.replace(\"{{spec}}\", specJson) }];\n uiJson = await callOpenAI(c, uiBuilderMessages, { type: \"json_object\" });\n }\n\n return c.json({ taskSpecification: spec, uiSchema: JSON.parse(uiJson) });\n } catch (e) {\n console.error(\"Step UI generation failed:\", e);\n return c.json({ details: `The AI failed to build the UI for the current step. Error: ${e.message}` }, 500);\n }\n});\n\napp.post(\"/api/execute-step\", async (c) => {\n const { readable, writable } = new TransformStream();\n const writer = writable.getWriter();\n const textEncoder = new TextEncoder();\n\n new Promise(async (resolve, reject) => {\n try {\n const { task, context, inputs } = await c.req.json();\n const contextString = JSON.stringify(context, null, 2);\n\n const specJson = await callOpenAI(c, [{\n role: \"system\",\n content: META_PROMPTS.TASK_ARCHITECT.replace(\"{{task}}\", task).replace(\"{{context}}\", contextString),\n }], { type: \"json_object\" });\n let executionPrompt = await callOpenAI(c, [{\n role: \"system\",\n content: META_PROMPTS.LOGIC_WEAVER.replace(\"{{spec}}\", specJson).replace(\"{{context}}\", contextString),\n }]);\n\n for (const [key, value] of Object.entries(inputs)) {\n executionPrompt = executionPrompt.replace(new RegExp(`\\\\{\\\\{\\\\s*${key}\\\\s*\\\\}\\\\}`, \"g\"), value);\n }\n\n const openai = new OpenAI();\n const aiStream = await openai.chat.completions.create({\n model: \"gpt-4o\",\n messages: [{ role: \"user\", content: executionPrompt }],\n stream: true,\n });\n\n for await (const chunk of aiStream) {\n const content = chunk.choices[0]?.delta?.content || \"\";\n if (content) {\n await writer.write(textEncoder.encode(content));\n }\n }\n\n await writer.close();\n resolve();\n } catch (e) {\n console.error(\"Step execution stream failed:\", e);\n const errorPayload = { error: true, details: `The AI failed to execute this step. Details: ${e.message}` };\n try {\n await writer.write(textEncoder.encode(JSON.stringify(errorPayload)));\n } catch (writeError) {\n console.error(\"Failed to write error to stream:\", writeError);\n }\n await writer.close();\n reject(e);\n }\n });\n\n return new Response(readable, {\n headers: { \"Content-Type\": \"text/plain; charset=utf-8\" },\n });\n});\n\napp.get(\"/\", (c) => c.html(generateHtml(c.req.url)));\n\nexport default app.fetch;","deleted","label",[98],"permalink","https://www.val.town/x/join/emergent/code/main.tsx","extension","actionData","errors"]