Pick any line to see why it is the way it is: the commit, the pull request and issue it came from, and what the agent was thinking.
| Integrations: your own model provider, alerts that open issues, tickets agents read | 1 | /** |
| 2 | * The model proxy: every model request a g1t sandbox makes comes through | |
| 3 | * here, at `https://models.g1t.sh/anthropic`. | |
| 4 | * | |
| 5 | * A sandbox holds a token for its one run, never a key. The proxy looks the | |
| 6 | * token up and forwards the request with the credentials for that run: | |
| Models per workspace: several providers, routed by kind of work | 7 | * g1t's AI Gateway when g1t pays, or one of the workspace's own providers |
| 8 | * when it does. A provider that speaks OpenAI's API gets the request | |
| 9 | * translated, and its answer translated back. So a sandbox that is tricked | |
| 10 | * into printing its environment gives away a token that stops working when | |
| Git storage hardened, pages in tens of milliseconds, honest security alerts, and costs reconciled daily | 11 | * the run ends (the runner closes its session then, and lookups are kept |
| 12 | * only seconds), and nothing of the workspace's. | |
| Integrations: your own model provider, alerts that open issues, tickets agents read | 13 | * |
| Mission control shows model usage, yours and the workspace's: tokens, cost, active days, cache share, each day, and the mix | 14 | * Responses stream through. What each answer used is read from a copy as |
| 15 | * it passes and reported to billing afterwards, counted per run for usage | |
| 16 | * views. | |
| Integrations: your own model provider, alerts that open issues, tickets agents read | 17 | */ |
| Mission control shows model usage, yours and the workspace's: tokens, cost, active days, cache share, each day, and the mix | 18 | import { type ModelUpstream, type ServiceBinding, billingClient, integrationsClient } from "@g1t/contracts"; |
| Integrations: your own model provider, alerts that open issues, tickets agents read | 19 | |
| Models per workspace: several providers, routed by kind of work | 20 | import { type AnthropicRequest, StreamTranslator, errorFromChat, estimateTokens, fromChat, toChat } from "./openai"; |
| Mission control shows model usage, yours and the workspace's: tokens, cost, active days, cache share, each day, and the mix | 21 | import { isAnswer, tokenReport } from "./report"; |
| Integrations: your own model provider, alerts that open issues, tickets agents read | 22 | import { type HostedRouting, presentedToken, upstreamRequest } from "./route"; |
| Mission control shows model usage, yours and the workspace's: tokens, cost, active days, cache share, each day, and the mix | 23 | import { measure } from "./usage"; |
| Integrations: your own model provider, alerts that open issues, tickets agents read | 24 | |
| 25 | interface Env extends HostedRouting { | |
| 26 | INTEGRATIONS: ServiceBinding; | |
| Mission control shows model usage, yours and the workspace's: tokens, cost, active days, cache share, each day, and the mix | 27 | BILLING: ServiceBinding; |
| Integrations: your own model provider, alerts that open issues, tickets agents read | 28 | } |
| 29 | ||
| Git storage hardened, pages in tens of milliseconds, honest security alerts, and costs reconciled daily | 30 | /** |
| 31 | * How long a looked-up token is trusted before it is looked up again. Short, | |
| 32 | * because a run's token is closed the moment the run ends (and a connection | |
| 33 | * may be removed mid-run): the proxy refuses it again within this long. | |
| 34 | */ | |
| 35 | const REMEMBER_MS = 10_000; | |
| Integrations: your own model provider, alerts that open issues, tickets agents read | 36 | const remembered = new Map<string, { upstream: ModelUpstream | null; until: number }>(); |
| 37 | ||
| 38 | async function lookUp(env: Env, token: string): Promise<ModelUpstream | null> { | |
| 39 | const now = Date.now(); | |
| 40 | const hit = remembered.get(token); | |
| 41 | if (hit && hit.until > now) return hit.upstream; | |
| 42 | const upstream = await integrationsClient(env.INTEGRATIONS).modelUpstream(token); | |
| 43 | if (remembered.size > 5_000) remembered.clear(); | |
| 44 | remembered.set(token, { upstream, until: now + REMEMBER_MS }); | |
| 45 | return upstream; | |
| 46 | } | |
| 47 | ||
| 48 | /** An error in the shape Anthropic's API uses, which the harness understands. */ | |
| 49 | function refuse(status: number, message: string): Response { | |
| 50 | return Response.json( | |
| 51 | { type: "error", error: { type: status === 401 ? "authentication_error" : "not_found_error", message } }, | |
| 52 | { status }, | |
| 53 | ); | |
| 54 | } | |
| 55 | ||
| Mission control shows model usage, yours and the workspace's: tokens, cost, active days, cache share, each day, and the mix | 56 | /** |
| 57 | * Passes an answer through and, once it has all gone by, tells billing what | |
| 58 | * it used. Reporting happens after the answer, and a report that fails is | |
| 59 | * dropped: the answer never waits on it or breaks for it. | |
| 60 | */ | |
| 61 | function counted(answer: Response, upstream: ModelUpstream, env: Env, ctx: ExecutionContext): Response { | |
| 62 | const { response, tokens, model } = measure(answer); | |
| 63 | ctx.waitUntil( | |
| 64 | (async () => { | |
| 65 | const report = tokenReport(upstream, await model, await tokens); | |
| 66 | if (report) await billingClient(env.BILLING).recordTokens(report); | |
| 67 | })().catch(() => undefined), | |
| 68 | ); | |
| 69 | return response; | |
| 70 | } | |
| 71 | ||
| Models per workspace: several providers, routed by kind of work | 72 | /** Sends an Anthropic request to a provider that speaks OpenAI's API. */ |
| 73 | async function viaChat(upstream: ModelUpstream, path: string, request: Request): Promise<Response> { | |
| 74 | const body = (await request.json()) as AnthropicRequest; | |
| 75 | const model = upstream.model ?? body.model ?? ""; | |
| 76 | if (path.startsWith("/v1/messages/count_tokens")) { | |
| 77 | return Response.json({ input_tokens: estimateTokens(body) }); | |
| 78 | } | |
| 79 | if (!path.startsWith("/v1/messages")) return refuse(404, `${path} has no counterpart at this provider.`); | |
| 80 | ||
| 81 | const headers = new Headers({ "content-type": "application/json" }); | |
| Model providers: gateway tokens for endpoints, tidier rows, and the docs | 82 | if (upstream.gatewayToken) headers.set("cf-aig-authorization", `Bearer ${upstream.gatewayToken}`); |
| Models per workspace: several providers, routed by kind of work | 83 | if (upstream.apiKey) { |
| A catalogue of model providers, and settings that feel like settings | 84 | // `authorization` means a bearer token; any other header takes the key as it is. |
| 85 | const header = upstream.authHeader ?? "authorization"; | |
| 86 | headers.set(header, header === "authorization" ? `Bearer ${upstream.apiKey}` : upstream.apiKey); | |
| Models per workspace: several providers, routed by kind of work | 87 | } |
| 88 | const answer = await fetch(`${(upstream.baseUrl ?? "").replace(/\/+$/, "")}/chat/completions`, { | |
| 89 | method: "POST", | |
| 90 | headers, | |
| A catalogue of model providers, and settings that feel like settings | 91 | body: JSON.stringify(toChat(body, model, { official: upstream.official, provider: upstream.provider })), |
| Models per workspace: several providers, routed by kind of work | 92 | }); |
| 93 | if (!answer.ok) { | |
| 94 | return Response.json(errorFromChat(answer.status, await answer.text()), { status: answer.status }); | |
| 95 | } | |
| 96 | if (!body.stream) return Response.json(fromChat((await answer.json()) as Record<string, unknown>, model)); | |
| 97 | ||
| 98 | const translator = new StreamTranslator(model); | |
| 99 | const decoder = new TextDecoder(); | |
| 100 | const encoder = new TextEncoder(); | |
| 101 | const translated = answer.body!.pipeThrough( | |
| 102 | new TransformStream<Uint8Array, Uint8Array>({ | |
| 103 | transform(chunk, controller) { | |
| 104 | const out = translator.push(decoder.decode(chunk, { stream: true })); | |
| 105 | if (out) controller.enqueue(encoder.encode(out)); | |
| 106 | }, | |
| 107 | flush(controller) { | |
| 108 | const out = translator.push(decoder.decode()) + translator.finish(); | |
| 109 | if (out) controller.enqueue(encoder.encode(out)); | |
| 110 | }, | |
| 111 | }), | |
| 112 | ); | |
| 113 | return new Response(translated, { | |
| 114 | headers: { "content-type": "text/event-stream", "cache-control": "no-cache" }, | |
| 115 | }); | |
| 116 | } | |
| 117 | ||
| Integrations: your own model provider, alerts that open issues, tickets agents read | 118 | export default { |
| Mission control shows model usage, yours and the workspace's: tokens, cost, active days, cache share, each day, and the mix | 119 | async fetch(request: Request, env: Env, ctx: ExecutionContext): Promise<Response> { |
| Integrations: your own model provider, alerts that open issues, tickets agents read | 120 | const url = new URL(request.url); |
| 121 | if (url.pathname === "/" || url.pathname === "") { | |
| 122 | return new Response("g1t's model proxy, for g1t's sandboxes. See https://docs.g1t.sh/guides/models/\n"); | |
| 123 | } | |
| 124 | if (!url.pathname.startsWith("/anthropic/")) return refuse(404, "Requests go to /anthropic/v1/…."); | |
| 125 | const token = presentedToken(request.headers); | |
| 126 | if (!token?.startsWith("g1tm_")) return refuse(401, "This needs a g1t run's model token."); | |
| 127 | const upstream = await lookUp(env, token); | |
| 128 | if (!upstream) return refuse(401, "This run's model token has expired, or its model connection was removed."); | |
| 129 | ||
| 130 | const path = url.pathname.slice("/anthropic".length) + url.search; | |
| Mission control shows model usage, yours and the workspace's: tokens, cost, active days, cache share, each day, and the mix | 131 | // Both routes answer in Anthropic's shape, so one reading counts either. |
| 132 | const answer = (response: Response) => (isAnswer(url.pathname.slice("/anthropic".length)) ? counted(response, upstream, env, ctx) : response); | |
| 133 | if (upstream.api === "openai") return answer(await viaChat(upstream, path, request)); | |
| Models per workspace: several providers, routed by kind of work | 134 | |
| Integrations: your own model provider, alerts that open issues, tickets agents read | 135 | const { url: target, headers } = upstreamRequest(upstream, env, path, request.headers); |
| Models per workspace: several providers, routed by kind of work | 136 | // A route that names a model gets it for every request of the run, |
| 137 | // including the harness's small background ones. | |
| 138 | let body: BodyInit | null = request.method === "GET" || request.method === "HEAD" ? null : request.body; | |
| 139 | if (upstream.model && body && path.startsWith("/v1/messages")) { | |
| 140 | const parsed = (await request.json()) as Record<string, unknown>; | |
| 141 | body = JSON.stringify({ ...parsed, model: upstream.model }); | |
| 142 | headers.delete("content-length"); | |
| 143 | } | |
| Mission control shows model usage, yours and the workspace's: tokens, cost, active days, cache share, each day, and the mix | 144 | return answer(await fetch(target, { method: request.method, headers, body })); |
| Integrations: your own model provider, alerts that open issues, tickets agents read | 145 | }, |
| 146 | } satisfies ExportedHandler<Env>; |