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// Mistral Small 3.2, fast, non-reasoning\nconst GREENPT_SUGGEST_MODEL = \"qwen3-coder-30b-a3b-instruct\"; // completion-tuned\n\n// Real OTel spans, exported over the same standard pipe Langfuse/any collector already reads\n// (ConsoleSpanExporter + SimpleSpanProcessor here so spans flush per-request for the demo;\n// swap for an OTLP exporter + BatchSpanProcessor to ship elsewhere).\nconst NodeSdkLive = NodeSdk.layer(() => ({\n resource: { serviceName: \"effect-ts-talk\" },\n spanProcessor: new SimpleSpanProcessor(new ConsoleSpanExporter()),\n}));\nconst runtime = ManagedRuntime.make(NodeSdkLive);\n\nclass GreenptApiError extends Data.TaggedError(\"GreenptApiError\")<{ status: number; detail: string }> {}\nclass GreenptTimeout extends Data.TaggedError(\"GreenptTimeout\")<{}> {}\n\nconst CompletionResponse = Schema.Struct({ completion: Schema.String });\nconst decodeCompletion = Schema.decodeUnknown(Schema.parseJson(CompletionResponse));\n\nfunction greenptChat(model: string, system: string, user: string, maxTokens: number) {\n return Effect.gen(function* () {\n const apiKey = Deno.env.get(\"GREENPT_API_KEY\");\n if (!apiKey) return yield* Effect.die(new Error(\"GREENPT_API_KEY is not set\"));\n\n const res = yield* Effect.tryPromise({\n try: (signal) =>\n fetch(`${GREENPT_BASE_URL}/chat/completions`, {\n method: \"POST\",\n headers: { \"Content-Type\": \"application/json\", Authorization: `Bearer ${apiKey}` },\n body: JSON.stringify({\n model,\n max_tokens: maxTokens,\n temperature: 0.7,\n messages: [\n { role: \"system\", content: system },\n { role: \"user\", content: user },\n ],\n }),\n signal,\n }),\n catch: (cause) => new GreenptApiError({ status: 0, detail: String(cause) }),\n });\n\n if (!res.ok) {\n const detail = yield* Effect.promise(() => res.text());\n return yield* Effect.fail(new GreenptApiError({ status: res.status, detail: detail.slice(0, 300) }));\n }\n\n const raw = yield* Effect.promise(() => res.json());\n const content = raw?.choices?.[0]?.message?.content ?? \"\";\n yield* Effect.annotateCurrentSpan({ contentLen: content.length, usage: raw?.usage });\n return content as string;\n }).pipe(\n Effect.timeoutFail({ duration: Duration.seconds(20), onTimeout: () => new GreenptTimeout() }),\n Effect.retry({\n schedule: Schedule.exponential(Duration.millis(300)).pipe(Schedule.intersect(Schedule.recurs(2))),\n while: (e) => e._tag === \"GreenptTimeout\" || (e._tag === \"GreenptApiError\" && e.status >= 500),\n }),\n Effect.withSpan(\"greenpt.chat\", { attributes: { model, maxTokens } }),\n );\n}\n\nfunction continueText(text: string) {\n const snippet = text.slice(-1500);\n return greenptChat(\n GREENPT_TAKEOVER_MODEL,\n \"You are an AI that hijacks a piece of in-progress writing the moment its human author stops typing. \" +\n \"Continue their text from exactly where it left off, matching their tone, topic, and language. \" +\n \"Write 1-2 short sentences only. Do not repeat what is already there, do not add quotation marks, \" +\n \"labels, or commentary — output only the continuation, starting with a leading space if the text \" +\n \"does not already end with whitespace.\",\n snippet || \"Begin a short piece of reflective writing.\",\n 150,\n ).pipe(Effect.withSpan(\"continueText\"));\n}\n\nfunction buildContext(text: string) {\n const snippet = text.slice(-1200);\n return greenptChat(\n GREENPT_TAKEOVER_MODEL,\n \"You are a context extractor for a writing assistant. Given in-progress text, produce a short \" +\n \"plain-text context block (3-6 sentences max) covering: the topic and tone, any implicit \" +\n \"questions or requests the writer seems to be building toward, and key facts or entities \" +\n \"established so far. Be concise and factual. Do not add opinions or complete the writing.\",\n snippet || \"(empty)\",\n 200,\n ).pipe(Effect.withSpan(\"buildContext\"));\n}\n\nfunction suggestCompletion(text: string) {\n const snippet = text.slice(-800);\n return Effect.gen(function* () {\n const context = yield* buildContext(text);\n\n const systemPrompt =\n 'You are an inline writing completion assistant. Given the tail of an in-progress piece, ' +\n 'return a JSON object {\"completion\":\"...\"} with a short inline completion that finishes the ' +\n \"current sentence without starting a new one — unless there is a clear question or request in \" +\n \"the text that you can answer directly, in which case answer it concisely as the completion. \" +\n 'If nothing is needed, return {\"completion\":\"\"}. Output only valid JSON, no markdown, no code fences.\\n\\n' +\n `\\n${context}\\n`;\n\n const raw = yield* greenptChat(GREENPT_SUGGEST_MODEL, systemPrompt, snippet || \"I\", 100);\n const cleaned = raw.replace(/^```(?:json)?\\s*/i, \"\").replace(/\\s*```$/, \"\").trim();\n\n const { completion } = yield* decodeCompletion(cleaned).pipe(\n Effect.catchTag(\"ParseError\", () => Effect.succeed({ completion: \"\" })),\n );\n return completion;\n }).pipe(Effect.withSpan(\"suggestCompletion\"));\n}\n\nfunction jsonRoute(\n req: Request,\n routeName: string,\n handler: (text: string) => Effect.Effect,\n onError: (error: GreenptApiError | GreenptTimeout) => Response,\n) {\n return Effect.gen(function* () {\n const { text } = yield* Effect.promise(() => req.json());\n const body = yield* handler(typeof text === \"string\" ? text : \"\");\n return Response.json(body);\n }).pipe(\n Effect.withSpan(`http ${routeName}`),\n Effect.catchTags({\n GreenptApiError: (e) => Effect.succeed(onError(e)),\n GreenptTimeout: (e) => Effect.succeed(onError(e)),\n }),\n );\n}\n\nconst upstreamError = (e: GreenptApiError | GreenptTimeout) =>\n Response.json({ error: e._tag === \"GreenptTimeout\" ? \"timeout\" : e.detail }, { status: 502 });\n\nexport default async function (req: Request): Promise {\n const url = new URL(req.url);\n\n if (req.method === \"POST\" && url.pathname === \"/ai/continue\") {\n return runtime.runPromise(\n jsonRoute(req, \"/ai/continue\", (text) => continueText(text).pipe(Effect.map((continuation) => ({ continuation }))), upstreamError),\n );\n }\n\n if (req.method === \"POST\" && url.pathname === \"/ai/context\") {\n return runtime.runPromise(\n jsonRoute(req, \"/ai/context\", (text) => buildContext(text).pipe(Effect.map((context) => ({ context }))), upstreamError),\n );\n }\n\n if (req.method === \"POST\" && url.pathname === \"/ai/suggest\") {\n return runtime.runPromise(\n jsonRoute(\n req,\n \"/ai/suggest\",\n (text) => suggestCompletion(text).pipe(Effect.map((completion) => ({ completion }))),\n () => Response.json({ completion: \"\" }), // soft-fail: don't surface to user\n ),\n );\n }\n\n if (req.method === \"POST\" && url.pathname === \"/demo/article\") {\n // Runs on its own Effect v4 runtime (articles-demo.ts); v3 and v4 Effect\n // values can't cross a pipe/provide boundary, only this Promise does.\n try {\n const body = await req.json();\n const article = await runArticleDemo(body);\n return Response.json(article);\n } catch (cause) {\n return Response.json({ error: String(cause) }, { status: 500 });\n }\n }\n\n switch (url.pathname) {\n case \"/style.css\": return serveFile(\"/style.css\", import.meta.url);\n case \"/client.js\": return serveFile(\"/client.js\", import.meta.url);\n case \"/tiny-lm.js\": return serveFile(\"/tiny-lm.js\", import.meta.url);\n case \"/debug.js\": return serveFile(\"/debug.js\", import.meta.url);\n case \"/llm.html\": return serveFile(\"/llm.html\", import.meta.url);\n case \"/llm.js\": return serveFile(\"/llm.js\", import.meta.url);\n case \"/\":\n case \"/index.html\": return serveFile(\"/index.html\", import.meta.url);\n default: return new Response(\"Not found\", { status: 404 });\n }\n}\n",[136],"8a589874-16c2-4aa9-bbd0-9f4281c28b03","main.before.ts","376ccc7a-8691-11f1-911d-1607ee4eb77e",2,["D",1784809368274],"import { serveFile } from \"https://esm.town/v/std/utils/index.ts\";\n\nconst GREENPT_BASE_URL = \"https://api.greenpt.ai/v1\";\nconst GREENPT_TAKEOVER_MODEL = \"green-l-raw\"; // Mistral Small 3.2, fast, non-reasoning\nconst GREENPT_SUGGEST_MODEL = \"qwen3-coder-30b-a3b-instruct\"; // completion-tuned\n\nfunction log(level: \"info\" | \"error\" | \"debug\", msg: string, data?: unknown) {\n const entry = JSON.stringify({ ts: new Date().toISOString(), level, msg, ...(data !== undefined && { data }) });\n if (level === \"error\") console.error(entry);\n else console.log(entry);\n}\n\nasync function greenptChat(model: string, system: string, user: string, maxTokens: number): Promise {\n const apiKey = Deno.env.get(\"GREENPT_API_KEY\");\n if (!apiKey) throw new Error(\"GREENPT_API_KEY is not set\");\n\n log(\"info\", \"greenpt request\", { model, maxTokens });\n const t0 = Date.now();\n const res = await fetch(`${GREENPT_BASE_URL}/chat/completions`, {\n method: \"POST\",\n headers: { \"Content-Type\": \"application/json\", Authorization: `Bearer ${apiKey}` },\n body: JSON.stringify({\n model,\n max_tokens: maxTokens,\n temperature: 0.7,\n messages: [\n { role: \"system\", content: system },\n { role: \"user\", content: user },\n ],\n }),\n });\n\n if (!res.ok) {\n const detail = await res.text();\n log(\"error\", \"greenpt error\", { model, status: res.status, durationMs: Date.now() - t0, detail: detail.slice(0, 300) });\n throw new Error(`GreenPT ${res.status}: ${detail.slice(0, 300)}`);\n }\n\n const raw = await res.json();\n log(\"debug\", \"greenpt raw\", { model, raw });\n const content = raw?.choices?.[0]?.message?.content ?? \"\";\n log(\"info\", \"greenpt done\", { model, contentLen: content.length, durationMs: Date.now() - t0, usage: raw?.usage });\n return content;\n}\n\nasync function continueText(text: string): Promise {\n const snippet = text.slice(-1500);\n return greenptChat(\n GREENPT_TAKEOVER_MODEL,\n \"You are an AI that hijacks a piece of in-progress writing the moment its human author stops typing. \" +\n \"Continue their text from exactly where it left off, matching their tone, topic, and language. \" +\n \"Write 1-2 short sentences only. Do not repeat what is already there, do not add quotation marks, \" +\n \"labels, or commentary — output only the continuation, starting with a leading space if the text \" +\n \"does not already end with whitespace.\",\n snippet || \"Begin a short piece of reflective writing.\",\n 150,\n );\n}\n\nasync function buildContext(text: string): Promise {\n const snippet = text.slice(-1200);\n return greenptChat(\n GREENPT_TAKEOVER_MODEL,\n \"You are a context extractor for a writing assistant. Given in-progress text, produce a short \" +\n \"plain-text context block (3-6 sentences max) covering: the topic and tone, any implicit \" +\n \"questions or requests the writer seems to be building toward, and key facts or entities \" +\n \"established so far. Be concise and factual. Do not add opinions or complete the writing.\",\n snippet || \"(empty)\",\n 200,\n );\n}\n\nasync function suggestCompletion(text: string): Promise {\n const snippet = text.slice(-800);\n\n const context = await buildContext(text);\n log(\"debug\", \"suggestCompletion context\", { context });\n\n const systemPrompt =\n 'You are an inline writing completion assistant. Given the tail of an in-progress piece, ' +\n 'return a JSON object {\"completion\":\"...\"} with a short inline completion that finishes the ' +\n \"current sentence without starting a new one — unless there is a clear question or request in \" +\n \"the text that you can answer directly, in which case answer it concisely as the completion. \" +\n 'If nothing is needed, return {\"completion\":\"\"}. Output only valid JSON, no markdown, no code fences.\\n\\n' +\n `\\n${context}\\n`;\n\n const raw = await greenptChat(GREENPT_SUGGEST_MODEL, systemPrompt, snippet || \"I\", 100);\n\n try {\n const cleaned = raw.replace(/^```(?:json)?\\s*/i, \"\").replace(/\\s*```$/, \"\").trim();\n const parsed = JSON.parse(cleaned);\n return typeof parsed.completion === \"string\" ? parsed.completion : \"\";\n } catch {\n log(\"error\", \"suggestCompletion parse failed\", { raw });\n return \"\";\n }\n}\n\nexport default async function (req: Request): Promise {\n const url = new URL(req.url);\n\n if (req.method === \"POST\" && url.pathname === \"/ai/continue\") {\n const t0 = Date.now();\n try {\n const { text } = await req.json();\n log(\"info\", \"POST /ai/continue\", { textLen: typeof text === \"string\" ? text.length : null });\n const continuation = await continueText(typeof text === \"string\" ? text : \"\");\n log(\"info\", \"POST /ai/continue done\", { durationMs: Date.now() - t0 });\n return Response.json({ continuation });\n } catch (err) {\n log(\"error\", \"POST /ai/continue failed\", { error: String(err), durationMs: Date.now() - t0 });\n return Response.json({ error: String(err) }, { status: 500 });\n }\n }\n\n if (req.method === \"POST\" && url.pathname === \"/ai/context\") {\n const t0 = Date.now();\n try {\n const { text } = await req.json();\n log(\"info\", \"POST /ai/context\", { textLen: typeof text === \"string\" ? text.length : null });\n const context = await buildContext(typeof text === \"string\" ? text : \"\");\n log(\"info\", \"POST /ai/context done\", { durationMs: Date.now() - t0 });\n return Response.json({ context });\n } catch (err) {\n log(\"error\", \"POST /ai/context failed\", { error: String(err), durationMs: Date.now() - t0 });\n return Response.json({ error: String(err) }, { status: 500 });\n }\n }\n\n if (req.method === \"POST\" && url.pathname === \"/ai/suggest\") {\n const t0 = Date.now();\n try {\n const { text } = await req.json();\n log(\"info\", \"POST /ai/suggest\", { textLen: typeof text === \"string\" ? text.length : null });\n const completion = await suggestCompletion(typeof text === \"string\" ? text : \"\");\n log(\"info\", \"POST /ai/suggest done\", { durationMs: Date.now() - t0 });\n return Response.json({ completion });\n } catch (err) {\n log(\"error\", \"POST /ai/suggest failed\", { error: String(err), durationMs: Date.now() - t0 });\n return Response.json({ completion: \"\" }); // soft-fail: don't surface to user\n }\n }\n\n switch (url.pathname) {\n case \"/style.css\": return serveFile(\"/style.css\", import.meta.url);\n case \"/client.js\": return serveFile(\"/client.js\", import.meta.url);\n case \"/tiny-lm.js\": return serveFile(\"/tiny-lm.js\", import.meta.url);\n case \"/debug.js\": return serveFile(\"/debug.js\", import.meta.url);\n case \"/llm.html\": return serveFile(\"/llm.html\", import.meta.url);\n case \"/llm.js\": return serveFile(\"/llm.js\", import.meta.url);\n case \"/\":\n case \"/index.html\": return serveFile(\"/index.html\", import.meta.url);\n default: return new Response(\"Not found\", { status: 404 });\n }\n}\n",[144],"68117cdd-8f7f-4988-be3b-ebc18f02e13f","articles-effect.ts","418e886a-8691-11f1-9d1e-1607ee4eb77e",3,["D",1784809385337],"/**\n * Effect version of `createArticle` — line-for-line against the OTel/async\n * original. Same behavior: root span, attributes, fire-and-forget\n * notification that must not fail the request, error recorded on the span.\n *\n * What does NOT exist in this file, because the runtime owns it:\n * - tracer.startActiveSpan / span.end / finally (span = fiber scope)\n * - span.setStatus(OK|ERROR) / span.recordException (Exit → span status)\n * - try/catch + `throw error` re-raise (typed error channel)\n * - `.catch((err) => console.error(...))` (fork + tapCause)\n * - `error as Error` casts (errors are values)\n *\n * Requires Effect v4 (Context.Service): pinned below to the v4 beta that\n * matches @effect/opentelemetry's v4 beta tag used in articles-demo.ts.\n */\nimport {\n Context,\n Data,\n Effect,\n Layer,\n} from \"https://esm.sh/effect@4.0.0-beta.101\";\n\n// --- Dependencies as services (stand-ins for drizzle + the job queue) -------\n\nexport class ArticleInsertError extends Data.TaggedError(\"ArticleInsertError\")<{\n readonly slug: string;\n readonly cause: unknown;\n}> {}\n\ninterface ArticleRow {\n readonly id: number;\n readonly slug: string;\n readonly title: string;\n readonly authorId: number;\n}\n\nexport class Database extends Context.Service<\n Database,\n {\n readonly insertArticle: (values: {\n readonly slug: string;\n readonly title: string;\n readonly description: string | null;\n readonly body: string;\n readonly authorId: number;\n }) => Effect.Effect;\n }\n>()(\"app/Database\") {}\n\nexport class Notifications extends Context.Service<\n Notifications,\n {\n readonly articleCreated: (input: {\n readonly articleId: number;\n readonly articleSlug: string;\n readonly authorId: number;\n readonly title: string;\n }) => Effect.Effect;\n }\n>()(\"app/Notifications\") {}\n\nconst generateSlug = (title: string) =>\n title.toLowerCase().replace(/[^a-z0-9]+/g, \"-\").replace(/^-|-$/g, \"\");\n\nexport class Articles extends Context.Service()(\"app/Articles\", {\n make: Effect.gen(function* () {\n const db = yield* Database;\n const notifications = yield* Notifications;\n\n const create = Effect.fn(\"article.create\")(\n function* (\n authorId: number,\n input: { title: string; description?: string; body: string },\n ) {\n const slug = generateSlug(input.title);\n\n const article = yield* db.insertArticle({\n slug,\n title: input.title,\n description: input.description ?? null,\n body: input.body,\n authorId,\n });\n\n yield* Effect.annotateCurrentSpan({\n \"user.id\": authorId,\n \"article.id\": article.id,\n });\n\n // Fire-and-forget, but NOT invisible: the forked fiber inherits the\n // trace, gets its own child span, and failures land on that span's\n // exit + the logs — instead of a floating promise with .catch(console.error).\n yield* notifications\n .articleCreated({\n articleId: article.id,\n articleSlug: article.slug,\n authorId,\n title: article.title,\n })\n .pipe(\n Effect.withSpan(\"notification.articleCreated\"),\n Effect.tapCause((cause) =>\n Effect.logWarning(\"Failed to enqueue notification\", cause)\n ),\n Effect.forkDetach,\n );\n\n return article;\n },\n );\n\n return { create } as const;\n }),\n}) {\n static readonly layerNoDeps = Layer.effect(this, this.make);\n}\n\n// --- Tenant attribution: the multi-tenant / single-tenant switch -------------\n//\n// In the OTel version, tenant attributes on every span require a custom\n// SpanProcessor wired into the SDK, or setAttribute calls sprinkled into\n// every service. Here it's `Effect.annotateSpans` — a combinator applied at\n// whatever scope owns the tenancy decision. The service code above never\n// changes.\n\n// Single-tenant deployment: annotate at the composition root, once, at boot.\n// Every span in the entire app carries the attributes.\nexport const annotateDeployment = (app: Effect.Effect) =>\n Effect.annotateSpans(app, {\n \"app.tenant_id\": \"org_school_001\",\n \"app.data_region\": \"eu-west\",\n });\n\n// Multi-tenant api-proxy: annotate at the request boundary. Every span under\n// this request — including the forked notification fiber, which inherits the\n// annotations — carries the authenticated tenant.\nexport const handleRequest = (\n tenant: { id: string; region: string },\n authorId: number,\n input: { title: string; body: string },\n) =>\n Effect.gen(function* () {\n const articles = yield* Articles;\n return yield* articles.create(authorId, input);\n }).pipe(\n Effect.annotateSpans({\n \"app.tenant_id\": tenant.id,\n \"app.data_region\": tenant.region,\n }),\n );\n",[151],"pulls","branches","forks","envVars",{"_164":59,"_166":59},"connections",{"_164":59,"_165":59},"count","unfilledCount","emptyCount",{"_41":150,"_31":151,"_29":152,"_130":-5,"_39":40,"_38":153,"_131":120,"_36":181,"_13":59,"_32":33,"_34":155,"_23":24,"_133":-5,"_172":182,"_26":183},{"_41":143,"_31":144,"_29":145,"_130":-5,"_39":40,"_38":146,"_131":24,"_36":178,"_13":59,"_32":140,"_34":148,"_23":24,"_133":-5,"_172":179,"_26":180},{"_41":135,"_31":136,"_29":137,"_130":-5,"_39":40,"_38":138,"_131":24,"_36":175,"_13":59,"_32":140,"_34":141,"_23":24,"_133":-5,"_172":176,"_26":177},{"_41":129,"_31":27,"_29":30,"_130":-5,"_39":40,"_38":14,"_131":120,"_36":171,"_13":59,"_32":33,"_34":35,"_23":24,"_133":-5,"_172":173,"_26":174},["D",1784809399012],"children",[],[27],["D",1784809347112],[],[136],["D",1784809368274],[],[144],["D",1784809385337],[],[151],["D",1784809347061],{"_93":92,"_101":97},{"_93":92,"_94":95,"_96":97,"_18":53,"_98":99,"_100":24},{"_13":82,"_31":83,"_41":40,"_84":42,"_85":-5,"_86":-5,"_87":-5,"_88":-5,"_89":-5,"_90":43,"_91":92},"ctx",{"_75":-5,"_122":221,"_222":223,"_224":225,"_226":24,"_227":24,"_228":24,"_229":120,"_230":-5,"_231":-7,"_232":-7,"_233":59,"_234":24,"_235":24,"_236":-5,"_237":24,"_238":24,"_239":24,"_240":-5},"ENV",{"_192":193,"_194":195,"_196":83,"_197":198,"_199":200,"_201":202,"_203":204,"_205":206,"_207":208,"_209":210,"_211":212,"_213":214,"_215":216,"_217":218,"_219":220},"REACT_APP_SENTRY_DSN","https://586020d86f05489db63a554690acf1e9@o1398359.ingest.sentry.io/6724499","RENDER_GIT_COMMIT","e87eb04e707cf64e7e532c8e8ec395f209e17f15","RENDER_GIT_BRANCH","POSTHOG_API_TOKEN","phc_nmoyuAkStEZuUp69rYlg1DZgrIt19Gx0Y4Hwf8tGgJP","POSTHOG_API_HOST","https://wart.val.town","WEB_API_TEMPLATE","https://{val}.web.val.run","APP_URL","https://www.val.town","MODULE_URL","https://esm.town","VANITY_WEB_API_TEMPLATE","https://{label}.val.run/","DENOLS_URL","https://lsp.val.town","NODE_ENV","production","CLOUDFLARE_TURNSTILE_SITE_KEY","0x4AAAAAACtaIZJH7s9rBMZ6","GOOGLE_CLIENT_ID","875989696899-jtsqkhlbdv5jrlsk8631p7ipjg3c6o62.apps.googleusercontent.com","STRIPE_PUBLISHABLE_KEY","pk_live_51N2zvWEpZTTLipIkVEwXrUG9AT0yeOOEYxszarZT1jpsZV58Ly6wlg3SltZpHN26CUalOBmUSY7adQRQiSkCZz2500qSXNkf8Y","API_URL","https://api.val.town",[],"preferencesKeybindings","default","preferencesTheme","light","preferencesFixers","preferencesCopilot","preferencesSelectionAi","preferencesCloseBrackets","preferencesChatPanelState","preferencesDprint","preferencesDenofmt","notificationCount","flagDenols","isBusinessOrgMember","businessOrgHandle","isBusinessOrgAdmin","isHigherTownieTier","navCollapsed","currentOrgId"]

Diff · v4