Buckets:
| type Message = { role: "user" | "assistant"; content: string }; | |
| const CHAT_URL = `${import.meta.env.VITE_SUPABASE_URL}/functions/v1/chat`; | |
| export type ModelType = "local" | "gemini-flash" | "perplexity-sonar"; | |
| export async function streamChat({ | |
| messages, | |
| model = "gemini-flash", | |
| onDelta, | |
| onDone, | |
| onError, | |
| }: { | |
| messages: Message[]; | |
| model?: ModelType; | |
| onDelta: (deltaText: string) => void; | |
| onDone: () => void; | |
| onError: (error: string) => void; | |
| }) { | |
| try { | |
| const resp = await fetch(CHAT_URL, { | |
| method: "POST", | |
| headers: { | |
| "Content-Type": "application/json", | |
| Authorization: `Bearer ${import.meta.env.VITE_SUPABASE_PUBLISHABLE_KEY}`, | |
| }, | |
| body: JSON.stringify({ messages, model }), | |
| }); | |
| if (!resp.ok) { | |
| const errorData = await resp.json().catch(() => ({})); | |
| const errorMessage = errorData.error || `Request failed with status ${resp.status}`; | |
| if (resp.status === 429) { onError("Rate limit exceeded. Please wait a moment."); return; } | |
| if (resp.status === 402) { onError("AI credits exhausted. Please add credits."); return; } | |
| onError(errorMessage); | |
| return; | |
| } | |
| if (!resp.body) { onError("No response body received"); return; } | |
| const reader = resp.body.getReader(); | |
| const decoder = new TextDecoder(); | |
| let textBuffer = ""; | |
| let streamDone = false; | |
| while (!streamDone) { | |
| const { done, value } = await reader.read(); | |
| if (done) break; | |
| textBuffer += decoder.decode(value, { stream: true }); | |
| let newlineIndex: number; | |
| while ((newlineIndex = textBuffer.indexOf("\n")) !== -1) { | |
| let line = textBuffer.slice(0, newlineIndex); | |
| textBuffer = textBuffer.slice(newlineIndex + 1); | |
| if (line.endsWith("\r")) line = line.slice(0, -1); | |
| if (line.startsWith(":") || line.trim() === "") continue; | |
| if (!line.startsWith("data: ")) continue; | |
| const jsonStr = line.slice(6).trim(); | |
| if (jsonStr === "[DONE]") { streamDone = true; break; } | |
| try { | |
| const parsed = JSON.parse(jsonStr); | |
| const content = parsed.choices?.[0]?.delta?.content as string | undefined; | |
| if (content) onDelta(content); | |
| } catch { | |
| textBuffer = line + "\n" + textBuffer; | |
| break; | |
| } | |
| } | |
| } | |
| if (textBuffer.trim()) { | |
| for (let raw of textBuffer.split("\n")) { | |
| if (!raw) continue; | |
| if (raw.endsWith("\r")) raw = raw.slice(0, -1); | |
| if (raw.startsWith(":") || raw.trim() === "") continue; | |
| if (!raw.startsWith("data: ")) continue; | |
| const jsonStr = raw.slice(6).trim(); | |
| if (jsonStr === "[DONE]") continue; | |
| try { | |
| const parsed = JSON.parse(jsonStr); | |
| const content = parsed.choices?.[0]?.delta?.content as string | undefined; | |
| if (content) onDelta(content); | |
| } catch { /* ignore */ } | |
| } | |
| } | |
| onDone(); | |
| } catch (error) { | |
| console.error("Stream chat error:", error); | |
| onError(error instanceof Error ? error.message : "An unexpected error occurred"); | |
| } | |
| } | |
Xet Storage Details
- Size:
- 3.1 kB
- Xet hash:
- d696315230aeef6dc3971d47d0c791e6340219320afe9f9508db88146bdeb66f
·
Xet efficiently stores files, intelligently splitting them into unique chunks and accelerating uploads and downloads. More info.