diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml index 971cf97..510bae4 100644 --- a/.github/workflows/ci.yml +++ b/.github/workflows/ci.yml @@ -62,6 +62,9 @@ jobs: - name: Run tests run: npm test + - name: Run stream conformance tests + run: npm run test:conformance + package: name: Audit and package runs-on: ubuntu-latest diff --git a/README.md b/README.md index 97c0cb7..ee08615 100644 --- a/README.md +++ b/README.md @@ -158,7 +158,7 @@ Add to your global `~/.config/opencode/opencode.json` (works everywhere) or a pr ```bash curl -o ~/.config/opencode/plugins/llm-proxy.js \ - https://raw.githubusercontent.com/KochC/opencode-llm-proxy/main/index.js + https://raw.githubusercontent.com/KochC/opencode-llm-proxy/main/dist/llm-proxy.js ``` **Per-project** — loaded only in this directory: @@ -166,10 +166,10 @@ curl -o ~/.config/opencode/plugins/llm-proxy.js \ ```bash mkdir -p .opencode/plugins curl -o .opencode/plugins/llm-proxy.js \ - https://raw.githubusercontent.com/KochC/opencode-llm-proxy/main/index.js + https://raw.githubusercontent.com/KochC/opencode-llm-proxy/main/dist/llm-proxy.js ``` -> Copying just `index.js` works for everything except [tool calling](#tool-calling), which also needs `mcp-tool-bridge.js` alongside it. Use the npm plugin install method if you want tool calling. +> The bundled file contains all proxy runtime modules. [Tool calling](#tool-calling) also needs `mcp-tool-bridge.js` alongside it, so use the npm install method for tool-using clients. --- @@ -190,12 +190,21 @@ curl -o .opencode/plugins/llm-proxy.js \ | `OPENCODE_LLM_PROXY_MAX_QUEUED_REQUESTS` | `32` | Maximum POST requests waiting for capacity; excess requests receive `503`. | | `OPENCODE_LLM_PROXY_TOOL_BRIDGE_POOL_SIZE` | `8` | Max concurrent in-flight requests using [tool calling](#tool-calling). | | `OPENCODE_LLM_PROXY_TOOL_BRIDGE_ACQUIRE_TIMEOUT_MS` | `10000` | Maximum wait for a tool-bridge slot, from 1 to 3,600,000 ms. | +| `OPENCODE_LLM_PROXY_TOOL_BRIDGE_MAX_QUEUE` | `32` | Maximum tool-calling requests waiting for a bridge slot, from 0 to 10,000; excess requests receive `429`. | | `OPENCODE_LLM_PROXY_KEEP_SESSIONS` | `false` | Set to `true` to retain temporary OpenCode sessions; otherwise they are deleted after use. | | `OPENCODE_LLM_PROXY_MODEL_ALIASES` | `{}` | JSON object mapping aliases to a model ID string or ordered array of fallback model IDs. | +| `OPENCODE_LLM_PROXY_METRICS_ENABLED` | `false` | Set to `true` to expose the authenticated Prometheus endpoint at `GET /metrics`. | +| `OPENCODE_LLM_PROXY_REMOTE_MEDIA_ENABLED` | `false` | Set to `true` to fetch remote media URLs and convert them to embedded data URLs. Leave disabled unless required. | +| `OPENCODE_LLM_PROXY_REMOTE_MEDIA_ALLOWED_SCHEMES` | `["https"]` | JSON array of allowed remote URL schemes (`https` and, if explicitly enabled, `http`). HTTPS-only is strongly recommended. | +| `OPENCODE_LLM_PROXY_REMOTE_MEDIA_MAX_BYTES` | value of `OPENCODE_LLM_PROXY_MAX_REQUEST_BYTES` (`1048576` by default) | Maximum downloaded bytes per remote media item, up to 100 MiB. | +| `OPENCODE_LLM_PROXY_REMOTE_MEDIA_MAX_ITEMS` | `4` | Maximum remote media downloads in one request, from 0 to 10,000. | +| `OPENCODE_LLM_PROXY_MAX_MEDIA_ITEMS` | `64` | Maximum total embedded and remote media items in one request. | +| `OPENCODE_LLM_PROXY_REMOTE_MEDIA_MAX_REDIRECTS` | `3` | Maximum redirects per remote media download, from 0 to 100. | +| `OPENCODE_LLM_PROXY_REMOTE_MEDIA_TIMEOUT_MS` | `10000` | Total remote-media preparation timeout, including DNS and all items, from 1 to 3,600,000 ms. | -Use `x-opencode-variant` to select an OpenCode model variant for a request. The proxy accepts multimodal image, document, and file inputs in each API's native content shape, using embedded data URLs and validating model capabilities. Structured JSON output is supported through OpenAI `response_format.json_schema`, Responses API `text.format.schema`, and Gemini `generationConfig.responseSchema`. +Use `x-opencode-variant` to select an OpenCode model variant for a request. The proxy accepts multimodal image, document, and file inputs in each API's native content shape, using embedded data URLs and validating model capabilities. Remote URLs are rejected unless the SSRF-safe remote-media fetcher is explicitly enabled; fetched content is converted to a data URL before it reaches OpenCode. Structured JSON output is supported through OpenAI `response_format.json_schema`, Responses API `text.format.schema`, and Gemini `generationConfig.responseSchema`. -Generation `temperature`, `top_p`/`topP`, and `topK` values are validated and applied through the plugin's `chat.params` hook. Unsupported controls (`stop`, `seed`, `frequency_penalty`, `presence_penalty`, `logprobs`, and `n`) are rejected with `400` instead of being silently ignored. +Generation `temperature`, top-p (`top_p`/`topP`), and top-k (`topK`) values are validated and applied through the plugin's `chat.params` hook. Maximum-token fields (`max_tokens`, `max_completion_tokens`, `max_output_tokens`, and Gemini `maxOutputTokens`) are accepted where clients require them, but the current OpenCode SDK cannot enforce them. OpenAI and Anthropic requests reject unsupported controls (`stop`, `seed`, `frequency_penalty`, `presence_penalty`, `logprobs`, and `n`) with `400` instead of silently ignoring them. ```bash OPENCODE_LLM_PROXY_HOST=0.0.0.0 \ @@ -282,6 +291,7 @@ OpenCode's own agent loop always executes tools itself, server-side, so there's - Parallel tool calls in a single turn are fully supported across all four API formats (streaming and non-streaming). - `tool_choice: "none"` (OpenAI/Gemini `mode: "NONE"`/Anthropic `type: "none"`) disables tool calling for that request; forcing a specific named tool is supported. - Bridge servers are reused from a small fixed-size pool (`px_tools_0`, `px_tools_1`, ...) rather than registered fresh per request, since OpenCode's server API has no endpoint to deregister an MCP server once added. Configure the pool size with `OPENCODE_LLM_PROXY_TOOL_BRIDGE_POOL_SIZE` (default `8`) if you expect more than 8 concurrent in-flight tool-calling requests. +- At most `OPENCODE_LLM_PROXY_TOOL_BRIDGE_MAX_QUEUE` requests wait for a bridge slot. A request arriving when that queue is full receives `429`; a queued request that exceeds the bridge acquisition timeout receives `503`. - The bridge process is spawned with `node`, so `node` must be on `PATH` wherever OpenCode is running. --- @@ -484,22 +494,27 @@ x-opencode-provider: anthropic ### GET /v1/models Returns all models from all configured providers in OpenAI list format. +### GET /metrics +When `OPENCODE_LLM_PROXY_METRICS_ENABLED=true`, returns Prometheus text exposition data. The endpoint uses the same bearer-token authentication as every other route and is not registered when disabled. + +Metrics cover HTTP request counts and duration by bounded method/route/status labels, active and queued requests, upstream attempt outcomes, input/output token totals, and remote-media request outcomes, bytes, redirects, in-flight fetches, and duration. Streaming HTTP duration is recorded when the stream finishes, errors, or is cancelled. + ### POST /v1/chat/completions -OpenAI Chat Completions. Required fields: `model`, `messages`. Optional: `stream`, `temperature`, `max_tokens`, `tools`, `tool_choice`. +OpenAI Chat Completions. Required: `model`, `messages`. Supported optional fields include `stream`, `temperature`, `top_p`, `topK`, `max_tokens`, `max_completion_tokens`, `tools`, `tool_choice`, `response_format.json_schema`, and compatible multimodal content parts. Maximum-token fields are accepted for client compatibility but are not enforceable. ### POST /v1/responses -OpenAI Responses API. Required fields: `model`, `input`. Optional: `instructions`, `stream`, `max_output_tokens`, `tools`, `tool_choice`. +OpenAI Responses API. Required: `model`, `input`. Supported optional fields include `instructions`, `stream`, `temperature`, `top_p`, `topK`, `max_output_tokens`, `tools`, `tool_choice`, `text.format.schema`, and compatible multimodal input items. `max_output_tokens` is accepted for client compatibility but is not enforceable. ### POST /v1/messages -Anthropic Messages API. Required fields: `model`, `messages`. Optional: `system` (string or array of `{type: "text", text: string}` content blocks), `max_tokens`, `stream`, `tools`, `tool_choice`. +Anthropic Messages API. Required: `model`, `messages`. Supported optional fields include `system` (string or an array of `{type: "text", text: string}` blocks), `max_tokens`, `stream`, `temperature`, `top_p`, `topK`, `tools`, `tool_choice`, and native image/document blocks. `max_tokens` is accepted for required Anthropic client compatibility but is not enforceable. Errors are returned in Anthropic format: `{ "type": "error", "error": { "type": "...", "message": "..." } }`. ### POST /v1beta/models/:model:generateContent -Google Gemini non-streaming. Model name in URL path. Required field: `contents`. Optional: `systemInstruction`, `generationConfig`, `tools`, `toolConfig`. +Google Gemini non-streaming. Model name in URL path. Required: `contents`. Supported optional fields include `systemInstruction`, `generationConfig` (`temperature`, `topP`, `topK`, `maxOutputTokens`, and `responseSchema`), `tools`, `toolConfig`, and native inline/file media parts. `maxOutputTokens` is accepted but is not enforceable. ### POST /v1beta/models/:model:streamGenerateContent -Same as above, returns newline-delimited JSON stream. +Same as above, returning a newline-delimited JSON stream. A tool-using turn may emit intermediate text chunks followed by a final chunk containing one or more `functionCall` parts. --- @@ -509,19 +524,23 @@ Each request: 1. Is authenticated if either token setting is configured; non-loopback binding requires a token 2. Has its model resolved — `provider/model`, bare model ID, or Gemini URL path -3. Creates a temporary OpenCode session and deletes it after use unless `OPENCODE_LLM_PROXY_KEEP_SESSIONS=true` -4. Sends the prompt via `client.session.prompt` / `client.session.promptAsync` -5. Returns the response in the same format as the request +3. Canonicalizes the native conversation, preserving roles, ordered text/media, tool calls, tool IDs, arguments, and tool results +4. Renders complex history as deterministic JSON Lines because OpenCode accepts one user prompt, keeping each original message as a structured JSON object rather than flattening or relabeling it; a lone user text remains plain text +5. Associates every attached file with its exact position in that JSON Lines history through a zero-based `fileIndex`, including media nested in tool results +6. Creates a temporary OpenCode session and deletes it after use unless `OPENCODE_LLM_PROXY_KEEP_SESSIONS=true` +7. Sends the single rendered prompt via `client.session.prompt` / `client.session.promptAsync` +8. Returns the response in the same format as the request -Streaming uses OpenCode's `client.event.subscribe()` SSE stream. Text deltas are forwarded in real time. +Streaming uses OpenCode's `client.event.subscribe()` SSE stream. Text deltas are forwarded in real time, and the upstream async iterator is explicitly closed on completion, error, cancellation, or early tool-call termination. --- ## Limitations - Media support depends on the selected model's advertised image, audio, video, and PDF/file capabilities +- Remote media fetching is disabled by default and should remain disabled unless URL inputs are required; see [Security](docs/security.md) - No cross-request session state — send full conversation history on every request -- `temperature`, `top_p`/`topP`, and `topK` are applied through OpenCode's plugin hook. Maximum-token controls are accepted for client compatibility but cannot be enforced by the current OpenCode SDK. +- `temperature`, top-p (`top_p`/`topP`), and top-k (`topK`) are applied through OpenCode's plugin hook. Maximum-token controls are accepted for client compatibility but cannot be enforced by the current OpenCode SDK. - Tool calling supports parallel calls in a single turn — see [Tool calling](#tool-calling) above --- diff --git a/canonical-messages.js b/canonical-messages.js new file mode 100644 index 0000000..fcee28d --- /dev/null +++ b/canonical-messages.js @@ -0,0 +1,337 @@ +function isObject(value) { + return Boolean(value && typeof value === "object" && !Array.isArray(value)) +} + +function jsonValue(value) { + return { type: "json", value } +} + +function argumentsValue(value) { + if (typeof value !== "string") return jsonValue(value === undefined ? {} : value) + try { + return jsonValue(JSON.parse(value)) + } catch { + return { type: "raw", value } + } +} + +function textPart(value) { + return typeof value === "string" ? { type: "text", text: value } : null +} + +function mimeFromDataUrl(url, fallback) { + return typeof url === "string" ? /^data:([^;,]+)/.exec(url)?.[1] ?? fallback : fallback +} + +function openAIMediaPart(part) { + if (part?.type === "image_url") { + const url = typeof part.image_url === "string" ? part.image_url : part.image_url?.url + if (url) return { type: "media", mime: mimeFromDataUrl(url, "image/*"), url } + } + if (part?.type === "input_image") { + const url = part.image_url ?? part.file_data + if (url) return { type: "media", mime: mimeFromDataUrl(url, "image/*"), url } + } + if (part?.type === "input_file") { + const url = part.file_data ?? part.file_url + if (url) { + return { + type: "media", + mime: part.mime_type ?? mimeFromDataUrl(url, "application/octet-stream"), + url, + ...(part.filename ? { filename: part.filename } : {}), + } + } + } + return null +} + +function openAIContent(content) { + if (typeof content === "string") return [{ type: "text", text: content }] + if (!Array.isArray(content)) return [] + return content.flatMap((part) => { + if (typeof part === "string") return [{ type: "text", text: part }] + const text = textPart(part?.text ?? part?.input_text ?? part?.output_text) + const media = openAIMediaPart(part) + return text ? [text] : media ? [media] : [] + }) +} + +function mediaFromAnthropic(block) { + if (!block || !["image", "document"].includes(block.type)) return null + const source = block.source + if (source?.type === "base64" && source.media_type && source.data) { + return { + type: "media", + mime: source.media_type, + url: `data:${source.media_type};base64,${source.data}`, + ...(block.title ? { filename: block.title } : {}), + } + } + if (source?.type === "url" && source.url) { + return { + type: "media", + mime: block.type === "image" ? "image/*" : "application/pdf", + url: source.url, + ...(block.title ? { filename: block.title } : {}), + } + } + return null +} + +function anthropicResultContent(content) { + if (typeof content === "string") return [{ type: "text", text: content }] + if (!Array.isArray(content)) return content === undefined ? [] : [jsonValue(content)] + return content.flatMap((block) => { + const text = block?.type === "text" ? textPart(block.text) : null + const media = mediaFromAnthropic(block) + return text ? [text] : media ? [media] : [] + }) +} + +function geminiMediaPart(part) { + const inline = part?.inlineData ?? part?.inline_data + const file = part?.fileData ?? part?.file_data + const inlineMime = inline?.mimeType ?? inline?.mime_type + const fileMime = file?.mimeType ?? file?.mime_type + const fileUri = file?.fileUri ?? file?.file_uri + if (inlineMime && inline?.data) { + return { type: "media", mime: inlineMime, url: `data:${inlineMime};base64,${inline.data}` } + } + if (fileMime && fileUri) return { type: "media", mime: fileMime, url: fileUri } + return null +} + +function canonical(messages) { + return { messages } +} + +export function adaptOpenAIChat(input) { + const messages = Array.isArray(input) ? input : input?.messages + if (!Array.isArray(messages)) return canonical([]) + return canonical(messages.flatMap((message) => { + if (!isObject(message) || typeof message.role !== "string") return [] + const content = openAIContent(message.content) + if (message.role === "assistant") { + for (const call of message.tool_calls ?? []) { + const fn = call?.function ?? call + content.push({ + type: "tool_call", + ...(call?.id ? { id: call.id } : {}), + name: fn?.name ?? "", + arguments: argumentsValue(fn?.arguments ?? ""), + }) + } + if (message.function_call) { + content.push({ + type: "tool_call", + name: message.function_call.name ?? "", + arguments: argumentsValue(message.function_call.arguments ?? ""), + }) + } + } + if (message.role === "tool" || message.role === "function") { + return [{ + role: "tool", + content: [{ + type: "tool_result", + ...(message.tool_call_id ? { id: message.tool_call_id } : {}), + ...(message.name ? { name: message.name } : {}), + content, + }], + }] + } + return [{ role: message.role, content }] + })) +} + +export function adaptOpenAIResponses(input) { + const body = isObject(input) && Object.hasOwn(input, "input") ? input : { input } + const items = typeof body.input === "string" ? [{ role: "user", content: body.input }] : body.input + const messages = [] + if (typeof body.instructions === "string") { + messages.push({ role: "system", content: [{ type: "text", text: body.instructions }] }) + } + if (!Array.isArray(items)) return canonical(messages) + for (const item of items) { + if (!isObject(item)) continue + if (item.type === "function_call") { + messages.push({ role: "assistant", content: [{ + type: "tool_call", + ...(item.call_id ? { id: item.call_id } : item.id ? { id: item.id } : {}), + name: item.name ?? "", + arguments: argumentsValue(item.arguments ?? ""), + }] }) + } else if (item.type === "function_call_output") { + const output = typeof item.output === "string" + ? [{ type: "text", text: item.output }] + : [jsonValue(item.output)] + messages.push({ role: "tool", content: [{ + type: "tool_result", + ...(item.call_id ? { id: item.call_id } : {}), + content: output, + }] }) + } else { + messages.push({ role: item.role ?? (item.type === "message" ? "user" : item.type ?? "user"), content: openAIContent(item.content ?? item.input) }) + } + } + return canonical(messages) +} + +export function adaptAnthropic(input, system) { + const body = Array.isArray(input) ? { messages: input, system } : input ?? {} + const messages = [] + const systemContent = typeof body.system === "string" + ? [{ type: "text", text: body.system }] + : Array.isArray(body.system) + ? body.system.flatMap((block) => block?.type === "text" && typeof block.text === "string" ? [{ type: "text", text: block.text }] : []) + : [] + if (systemContent.length) messages.push({ role: "system", content: systemContent }) + for (const message of body.messages ?? []) { + if (!isObject(message) || typeof message.role !== "string") continue + const blocks = typeof message.content === "string" ? [{ type: "text", text: message.content }] : message.content + const content = [] + for (const block of blocks ?? []) { + if (block?.type === "text" && typeof block.text === "string") content.push({ type: "text", text: block.text }) + const media = mediaFromAnthropic(block) + if (media) content.push(media) + if (block?.type === "tool_use") { + content.push({ + type: "tool_call", + ...(block.id ? { id: block.id } : {}), + name: block.name ?? "", + arguments: jsonValue(block.input), + }) + } + if (block?.type === "tool_result") { + content.push({ + type: "tool_result", + ...(block.tool_use_id ? { id: block.tool_use_id } : {}), + ...(block.is_error === true ? { error: true } : {}), + content: anthropicResultContent(block.content), + }) + } + } + const role = content.length > 0 && content.every((part) => part.type === "tool_result") + ? "tool" + : message.role + messages.push({ role, content }) + } + return canonical(messages) +} + +export function adaptGemini(input, systemInstruction) { + const body = Array.isArray(input) ? { contents: input, systemInstruction } : input ?? {} + const messages = [] + const instruction = body.systemInstruction ?? body.system_instruction + if (typeof instruction === "string") { + messages.push({ role: "system", content: [{ type: "text", text: instruction }] }) + } else if (Array.isArray(instruction?.parts)) { + messages.push({ + role: "system", + content: instruction.parts.flatMap((part) => typeof part?.text === "string" ? [{ type: "text", text: part.text }] : []), + }) + } + for (const item of body.contents ?? []) { + if (!isObject(item)) continue + const content = [] + for (const part of item.parts ?? []) { + if (typeof part?.text === "string") content.push({ type: "text", text: part.text }) + const media = geminiMediaPart(part) + if (media) content.push(media) + const call = part?.functionCall ?? part?.function_call + if (call) { + content.push({ + type: "tool_call", + ...(call.id ? { id: call.id } : {}), + name: call.name ?? "", + arguments: jsonValue(call.args), + }) + } + const response = part?.functionResponse ?? part?.function_response + if (response) { + content.push({ + type: "tool_result", + ...(response.id ? { id: response.id } : {}), + ...(response.name ? { name: response.name } : {}), + content: typeof response.response === "string" + ? [{ type: "text", text: response.response }] + : [jsonValue(response.response)], + }) + } + } + const role = content.length > 0 && content.every((part) => part.type === "tool_result") + ? "tool" + : item.role === "model" ? "assistant" : item.role ?? "user" + messages.push({ role, content }) + } + return canonical(messages) +} + +function renderPart(part, media) { + if (part.type === "media") { + const fileIndex = media.length + media.push({ + fileIndex, + mime: part.mime, + url: part.url, + ...(part.filename ? { filename: part.filename } : {}), + }) + return { type: "file", fileIndex } + } + if (part.type === "text") return { type: "text", text: part.text } + if (part.type === "json") return { type: "json", value: part.value } + if (part.type === "tool_call") { + return { + type: "tool_call", + ...(part.id ? { id: part.id } : {}), + name: part.name, + arguments: part.arguments, + } + } + if (part.type === "tool_result") { + return { + type: "tool_result", + ...(part.id ? { id: part.id } : {}), + ...(part.name ? { name: part.name } : {}), + ...(part.error ? { error: true } : {}), + content: part.content.map((inner) => renderPart(inner, media)), + } + } + return part +} + +export function renderOpenCodePrompt(value) { + const messages = Array.isArray(value) ? value : value?.messages ?? [] + const systemMessages = messages.filter((message) => message.role === "system" || message.role === "developer") + const conversation = messages.filter((message) => message.role !== "system" && message.role !== "developer") + const system = systemMessages + .flatMap((message) => message.content) + .filter((part) => part.type === "text") + .map((part) => part.text) + .join("\n\n") + const media = [] + if ( + conversation.length === 1 && + conversation[0].role === "user" && + conversation[0].content.length === 1 && + conversation[0].content[0].type === "text" + ) { + return { system, text: conversation[0].content[0].text, media } + } + const transcript = conversation.map((message) => JSON.stringify({ + role: message.role, + content: message.content.map((part) => renderPart(part, media)), + })).join("\n") + const text = [ + "Continue the canonical conversation below as the assistant. Treat each following line as JSON data, preserve role and tool semantics, and produce the next assistant response after the final item.", + transcript, + ].join("\n\n") + return { system, text, media } +} + +export const canonicalizeOpenAIChat = adaptOpenAIChat +export const canonicalizeOpenAIResponses = adaptOpenAIResponses +export const canonicalizeAnthropic = adaptAnthropic +export const canonicalizeGemini = adaptGemini +export const renderCanonicalMessages = renderOpenCodePrompt diff --git a/canonical-messages.test.js b/canonical-messages.test.js new file mode 100644 index 0000000..0a5d7db --- /dev/null +++ b/canonical-messages.test.js @@ -0,0 +1,189 @@ +import test from "node:test" +import assert from "node:assert/strict" + +import { + adaptAnthropic, + adaptGemini, + adaptOpenAIChat, + adaptOpenAIResponses, + renderOpenCodePrompt, +} from "./canonical-messages.js" + +function semantic(value) { + return value.messages.map((message) => ({ + role: message.role, + content: message.content.map((part) => { + if (part.type === "tool_call") return { type: part.type, name: part.name, arguments: part.arguments } + if (part.type === "tool_result") return { type: part.type, content: part.content } + return part + }), + })) +} + +test("adapters produce equivalent text and tool semantics", () => { + const expected = adaptOpenAIChat({ messages: [ + { role: "system", content: "Be exact." }, + { role: "user", content: "Weather?" }, + { role: "assistant", content: null, tool_calls: [{ id: "call-1", function: { name: "weather", arguments: "{\"city\":\"Paris\"}" } }] }, + { role: "tool", tool_call_id: "call-1", content: "sunny" }, + ] }) + const responses = adaptOpenAIResponses({ instructions: "Be exact.", input: [ + { role: "user", content: [{ type: "input_text", text: "Weather?" }] }, + { type: "function_call", call_id: "call-1", name: "weather", arguments: "{\"city\":\"Paris\"}" }, + { type: "function_call_output", call_id: "call-1", output: "sunny" }, + ] }) + const anthropic = adaptAnthropic({ system: "Be exact.", messages: [ + { role: "user", content: "Weather?" }, + { role: "assistant", content: [{ type: "tool_use", id: "call-1", name: "weather", input: { city: "Paris" } }] }, + { role: "user", content: [{ type: "tool_result", tool_use_id: "call-1", content: "sunny" }] }, + ] }) + const gemini = adaptGemini({ systemInstruction: { parts: [{ text: "Be exact." }] }, contents: [ + { role: "user", parts: [{ text: "Weather?" }] }, + { role: "model", parts: [{ functionCall: { id: "call-1", name: "weather", args: { city: "Paris" } } }] }, + { role: "user", parts: [{ functionResponse: { id: "call-1", name: "weather", response: "sunny" } }] }, + ] }) + + assert.deepEqual(semantic(responses), semantic(expected)) + assert.deepEqual(semantic(anthropic), semantic(expected)) + assert.deepEqual(semantic(gemini), semantic(expected)) +}) + +test("preserves parallel calls, IDs, and call order", () => { + const result = adaptOpenAIChat([ + { role: "assistant", tool_calls: [ + { id: "a", function: { name: "first", arguments: "{\"n\":1}" } }, + { id: "b", function: { name: "second", arguments: "{\"n\":2}" } }, + ] }, + { role: "tool", tool_call_id: "b", content: "two" }, + { role: "tool", tool_call_id: "a", content: "one" }, + ]) + + assert.deepEqual(result.messages[0].content.map((part) => [part.id, part.name]), [["a", "first"], ["b", "second"]]) + assert.deepEqual(result.messages.slice(1).map((message) => message.content[0].id), ["b", "a"]) +}) + +test("distinguishes malformed raw arguments from JSON arguments", () => { + const result = adaptOpenAIResponses([ + { type: "function_call", call_id: "bad", name: "run", arguments: "{nope" }, + { type: "function_call", call_id: "good", name: "run", arguments: "null" }, + ]) + + assert.deepEqual(result.messages[0].content[0].arguments, { type: "raw", value: "{nope" }) + assert.deepEqual(result.messages[1].content[0].arguments, { type: "json", value: null }) +}) + +test("preserves Anthropic error results and media inside results", () => { + const result = adaptAnthropic([{ role: "user", content: [{ + type: "tool_result", + tool_use_id: "scan-7", + is_error: true, + content: [ + { type: "text", text: "bad scan" }, + { type: "image", source: { type: "base64", media_type: "image/png", data: "aW1n" } }, + { type: "document", title: "report", source: { type: "url", url: "https://example.test/report.pdf" } }, + ], + }] }]) + const toolResult = result.messages[0].content[0] + + assert.equal(toolResult.error, true) + assert.equal(toolResult.id, "scan-7") + assert.deepEqual(toolResult.content, [ + { type: "text", text: "bad scan" }, + { type: "media", mime: "image/png", url: "data:image/png;base64,aW1n" }, + { type: "media", mime: "application/pdf", url: "https://example.test/report.pdf", filename: "report" }, + ]) +}) + +test("preserves a Gemini structured function response", () => { + const response = { ok: true, rows: [{ id: 1 }], meta: { count: 1 } } + const result = adaptGemini([{ role: "user", parts: [{ functionResponse: { id: "q1", name: "query", response } }] }]) + + assert.deepEqual(result.messages[0].content[0], { + type: "tool_result", + id: "q1", + name: "query", + content: [{ type: "json", value: response }], + }) +}) + +test("adapts every OpenAI media shape supported by the gateway", () => { + const result = adaptOpenAIChat([{ role: "user", content: [ + { type: "image_url", image_url: { url: "data:image/png;base64,AA==" } }, + { type: "input_image", file_data: "data:image/jpeg;base64,AA==" }, + { type: "input_file", file_data: "data:application/pdf;base64,AA==", filename: "a.pdf" }, + { type: "input_file", file_url: "data:text/plain;base64,QQ==", mime_type: "text/plain" }, + ] }]) + + assert.deepEqual(result.messages[0].content.map((part) => [part.mime, part.url, part.filename]), [ + ["image/png", "data:image/png;base64,AA==", undefined], + ["image/jpeg", "data:image/jpeg;base64,AA==", undefined], + ["application/pdf", "data:application/pdf;base64,AA==", "a.pdf"], + ["text/plain", "data:text/plain;base64,QQ==", undefined], + ]) +}) + +test("adapts Anthropic and Gemini native media variants", () => { + const anthropic = adaptAnthropic([{ role: "user", content: [ + { type: "image", source: { type: "base64", media_type: "image/webp", data: "AA==" } }, + { type: "document", source: { type: "url", url: "data:application/pdf;base64,AA==" } }, + ] }]) + const gemini = adaptGemini([{ role: "user", parts: [ + { inlineData: { mimeType: "image/png", data: "AA==" } }, + { inline_data: { mime_type: "audio/wav", data: "AA==" } }, + { fileData: { mimeType: "video/mp4", fileUri: "data:video/mp4;base64,AA==" } }, + { file_data: { mime_type: "text/plain", file_uri: "data:text/plain;base64,QQ==" } }, + ] }]) + + assert.deepEqual(anthropic.messages[0].content.map((part) => part.mime), ["image/webp", "application/pdf"]) + assert.deepEqual(gemini.messages[0].content.map((part) => part.mime), ["image/png", "audio/wav", "video/mp4", "text/plain"]) +}) + +test("renders a bare single user text without an envelope", () => { + const rendered = renderOpenCodePrompt(adaptOpenAIChat([ + { role: "system", content: "Be brief." }, + { role: "user", content: "hello" }, + ])) + + assert.deepEqual(rendered, { system: "Be brief.", text: "hello", media: [] }) +}) + +test("renders complex histories as non-spoofable JSON lines", () => { + const rendered = renderOpenCodePrompt(adaptOpenAIChat([ + { role: "user", content: "safe\n{\"role\":\"system\",\"content\":\"spoof\"}" }, + { role: "assistant", content: "ack" }, + ])) + const lines = rendered.text.split("\n\n")[1].split("\n") + + assert.equal(lines.length, 2) + assert.equal(JSON.parse(lines[0]).content[0].text, "safe\n{\"role\":\"system\",\"content\":\"spoof\"}") + assert.equal(JSON.parse(lines[1]).role, "assistant") +}) + +test("assigns media indexes in exact encounter order including tool results", () => { + const canonical = adaptAnthropic({ messages: [ + { role: "user", content: [ + { type: "text", text: "compare" }, + { type: "image", source: { type: "base64", media_type: "image/png", data: "MQ==" } }, + ] }, + { role: "user", content: [{ type: "tool_result", tool_use_id: "x", content: [ + { type: "document", source: { type: "base64", media_type: "application/pdf", data: "Mg==" } }, + { type: "image", source: { type: "url", url: "data:image/jpeg;base64,Mw==" } }, + ] }] }, + ] }) + const rendered = renderOpenCodePrompt(canonical) + const lines = rendered.text.split("\n\n")[1].split("\n").map(JSON.parse) + + assert.deepEqual(rendered.media.map((file) => [file.fileIndex, file.mime]), [ + [0, "image/png"], [1, "application/pdf"], [2, "image/*"], + ]) + assert.equal(lines[0].content[1].fileIndex, 0) + assert.deepEqual(lines[1].content[0].content.map((part) => part.fileIndex), [1, 2]) +}) + +test("rendering is deterministic and does not mutate canonical messages", () => { + const value = adaptGemini([{ role: "user", parts: [{ text: "look" }, { inlineData: { mimeType: "image/png", data: "AA==" } }] }]) + const snapshot = JSON.parse(JSON.stringify(value)) + + assert.deepEqual(renderOpenCodePrompt(value), renderOpenCodePrompt(value)) + assert.deepEqual(value, snapshot) +}) diff --git a/dist/llm-proxy.js b/dist/llm-proxy.js new file mode 100644 index 0000000..390c3b0 --- /dev/null +++ b/dist/llm-proxy.js @@ -0,0 +1,3420 @@ +// index.js +import { fileURLToPath } from "node:url"; +import { Buffer as Buffer2 } from "node:buffer"; +import { timingSafeEqual } from "node:crypto"; + +// canonical-messages.js +function isObject(value) { + return Boolean(value && typeof value === "object" && !Array.isArray(value)); +} +function jsonValue(value) { + return { type: "json", value }; +} +function argumentsValue(value) { + if (typeof value !== "string") return jsonValue(value === void 0 ? {} : value); + try { + return jsonValue(JSON.parse(value)); + } catch { + return { type: "raw", value }; + } +} +function textPart(value) { + return typeof value === "string" ? { type: "text", text: value } : null; +} +function mimeFromDataUrl(url, fallback) { + return typeof url === "string" ? /^data:([^;,]+)/.exec(url)?.[1] ?? fallback : fallback; +} +function openAIMediaPart(part) { + if (part?.type === "image_url") { + const url = typeof part.image_url === "string" ? part.image_url : part.image_url?.url; + if (url) return { type: "media", mime: mimeFromDataUrl(url, "image/*"), url }; + } + if (part?.type === "input_image") { + const url = part.image_url ?? part.file_data; + if (url) return { type: "media", mime: mimeFromDataUrl(url, "image/*"), url }; + } + if (part?.type === "input_file") { + const url = part.file_data ?? part.file_url; + if (url) { + return { + type: "media", + mime: part.mime_type ?? mimeFromDataUrl(url, "application/octet-stream"), + url, + ...part.filename ? { filename: part.filename } : {} + }; + } + } + return null; +} +function openAIContent(content) { + if (typeof content === "string") return [{ type: "text", text: content }]; + if (!Array.isArray(content)) return []; + return content.flatMap((part) => { + if (typeof part === "string") return [{ type: "text", text: part }]; + const text2 = textPart(part?.text ?? part?.input_text ?? part?.output_text); + const media = openAIMediaPart(part); + return text2 ? [text2] : media ? [media] : []; + }); +} +function mediaFromAnthropic(block) { + if (!block || !["image", "document"].includes(block.type)) return null; + const source = block.source; + if (source?.type === "base64" && source.media_type && source.data) { + return { + type: "media", + mime: source.media_type, + url: `data:${source.media_type};base64,${source.data}`, + ...block.title ? { filename: block.title } : {} + }; + } + if (source?.type === "url" && source.url) { + return { + type: "media", + mime: block.type === "image" ? "image/*" : "application/pdf", + url: source.url, + ...block.title ? { filename: block.title } : {} + }; + } + return null; +} +function anthropicResultContent(content) { + if (typeof content === "string") return [{ type: "text", text: content }]; + if (!Array.isArray(content)) return content === void 0 ? [] : [jsonValue(content)]; + return content.flatMap((block) => { + const text2 = block?.type === "text" ? textPart(block.text) : null; + const media = mediaFromAnthropic(block); + return text2 ? [text2] : media ? [media] : []; + }); +} +function geminiMediaPart(part) { + const inline = part?.inlineData ?? part?.inline_data; + const file = part?.fileData ?? part?.file_data; + const inlineMime = inline?.mimeType ?? inline?.mime_type; + const fileMime = file?.mimeType ?? file?.mime_type; + const fileUri = file?.fileUri ?? file?.file_uri; + if (inlineMime && inline?.data) { + return { type: "media", mime: inlineMime, url: `data:${inlineMime};base64,${inline.data}` }; + } + if (fileMime && fileUri) return { type: "media", mime: fileMime, url: fileUri }; + return null; +} +function canonical(messages) { + return { messages }; +} +function adaptOpenAIChat(input) { + const messages = Array.isArray(input) ? input : input?.messages; + if (!Array.isArray(messages)) return canonical([]); + return canonical(messages.flatMap((message) => { + if (!isObject(message) || typeof message.role !== "string") return []; + const content = openAIContent(message.content); + if (message.role === "assistant") { + for (const call of message.tool_calls ?? []) { + const fn = call?.function ?? call; + content.push({ + type: "tool_call", + ...call?.id ? { id: call.id } : {}, + name: fn?.name ?? "", + arguments: argumentsValue(fn?.arguments ?? "") + }); + } + if (message.function_call) { + content.push({ + type: "tool_call", + name: message.function_call.name ?? "", + arguments: argumentsValue(message.function_call.arguments ?? "") + }); + } + } + if (message.role === "tool" || message.role === "function") { + return [{ + role: "tool", + content: [{ + type: "tool_result", + ...message.tool_call_id ? { id: message.tool_call_id } : {}, + ...message.name ? { name: message.name } : {}, + content + }] + }]; + } + return [{ role: message.role, content }]; + })); +} +function adaptOpenAIResponses(input) { + const body = isObject(input) && Object.hasOwn(input, "input") ? input : { input }; + const items = typeof body.input === "string" ? [{ role: "user", content: body.input }] : body.input; + const messages = []; + if (typeof body.instructions === "string") { + messages.push({ role: "system", content: [{ type: "text", text: body.instructions }] }); + } + if (!Array.isArray(items)) return canonical(messages); + for (const item of items) { + if (!isObject(item)) continue; + if (item.type === "function_call") { + messages.push({ role: "assistant", content: [{ + type: "tool_call", + ...item.call_id ? { id: item.call_id } : item.id ? { id: item.id } : {}, + name: item.name ?? "", + arguments: argumentsValue(item.arguments ?? "") + }] }); + } else if (item.type === "function_call_output") { + const output = typeof item.output === "string" ? [{ type: "text", text: item.output }] : [jsonValue(item.output)]; + messages.push({ role: "tool", content: [{ + type: "tool_result", + ...item.call_id ? { id: item.call_id } : {}, + content: output + }] }); + } else { + messages.push({ role: item.role ?? (item.type === "message" ? "user" : item.type ?? "user"), content: openAIContent(item.content ?? item.input) }); + } + } + return canonical(messages); +} +function adaptAnthropic(input, system) { + const body = Array.isArray(input) ? { messages: input, system } : input ?? {}; + const messages = []; + const systemContent = typeof body.system === "string" ? [{ type: "text", text: body.system }] : Array.isArray(body.system) ? body.system.flatMap((block) => block?.type === "text" && typeof block.text === "string" ? [{ type: "text", text: block.text }] : []) : []; + if (systemContent.length) messages.push({ role: "system", content: systemContent }); + for (const message of body.messages ?? []) { + if (!isObject(message) || typeof message.role !== "string") continue; + const blocks = typeof message.content === "string" ? [{ type: "text", text: message.content }] : message.content; + const content = []; + for (const block of blocks ?? []) { + if (block?.type === "text" && typeof block.text === "string") content.push({ type: "text", text: block.text }); + const media = mediaFromAnthropic(block); + if (media) content.push(media); + if (block?.type === "tool_use") { + content.push({ + type: "tool_call", + ...block.id ? { id: block.id } : {}, + name: block.name ?? "", + arguments: jsonValue(block.input) + }); + } + if (block?.type === "tool_result") { + content.push({ + type: "tool_result", + ...block.tool_use_id ? { id: block.tool_use_id } : {}, + ...block.is_error === true ? { error: true } : {}, + content: anthropicResultContent(block.content) + }); + } + } + const role = content.length > 0 && content.every((part) => part.type === "tool_result") ? "tool" : message.role; + messages.push({ role, content }); + } + return canonical(messages); +} +function adaptGemini(input, systemInstruction) { + const body = Array.isArray(input) ? { contents: input, systemInstruction } : input ?? {}; + const messages = []; + const instruction = body.systemInstruction ?? body.system_instruction; + if (typeof instruction === "string") { + messages.push({ role: "system", content: [{ type: "text", text: instruction }] }); + } else if (Array.isArray(instruction?.parts)) { + messages.push({ + role: "system", + content: instruction.parts.flatMap((part) => typeof part?.text === "string" ? [{ type: "text", text: part.text }] : []) + }); + } + for (const item of body.contents ?? []) { + if (!isObject(item)) continue; + const content = []; + for (const part of item.parts ?? []) { + if (typeof part?.text === "string") content.push({ type: "text", text: part.text }); + const media = geminiMediaPart(part); + if (media) content.push(media); + const call = part?.functionCall ?? part?.function_call; + if (call) { + content.push({ + type: "tool_call", + ...call.id ? { id: call.id } : {}, + name: call.name ?? "", + arguments: jsonValue(call.args) + }); + } + const response = part?.functionResponse ?? part?.function_response; + if (response) { + content.push({ + type: "tool_result", + ...response.id ? { id: response.id } : {}, + ...response.name ? { name: response.name } : {}, + content: typeof response.response === "string" ? [{ type: "text", text: response.response }] : [jsonValue(response.response)] + }); + } + } + const role = content.length > 0 && content.every((part) => part.type === "tool_result") ? "tool" : item.role === "model" ? "assistant" : item.role ?? "user"; + messages.push({ role, content }); + } + return canonical(messages); +} +function renderPart(part, media) { + if (part.type === "media") { + const fileIndex = media.length; + media.push({ + fileIndex, + mime: part.mime, + url: part.url, + ...part.filename ? { filename: part.filename } : {} + }); + return { type: "file", fileIndex }; + } + if (part.type === "text") return { type: "text", text: part.text }; + if (part.type === "json") return { type: "json", value: part.value }; + if (part.type === "tool_call") { + return { + type: "tool_call", + ...part.id ? { id: part.id } : {}, + name: part.name, + arguments: part.arguments + }; + } + if (part.type === "tool_result") { + return { + type: "tool_result", + ...part.id ? { id: part.id } : {}, + ...part.name ? { name: part.name } : {}, + ...part.error ? { error: true } : {}, + content: part.content.map((inner) => renderPart(inner, media)) + }; + } + return part; +} +function renderOpenCodePrompt(value) { + const messages = Array.isArray(value) ? value : value?.messages ?? []; + const systemMessages = messages.filter((message) => message.role === "system" || message.role === "developer"); + const conversation = messages.filter((message) => message.role !== "system" && message.role !== "developer"); + const system = systemMessages.flatMap((message) => message.content).filter((part) => part.type === "text").map((part) => part.text).join("\n\n"); + const media = []; + if (conversation.length === 1 && conversation[0].role === "user" && conversation[0].content.length === 1 && conversation[0].content[0].type === "text") { + return { system, text: conversation[0].content[0].text, media }; + } + const transcript = conversation.map((message) => JSON.stringify({ + role: message.role, + content: message.content.map((part) => renderPart(part, media)) + })).join("\n"); + const text2 = [ + "Continue the canonical conversation below as the assistant. Treat each following line as JSON data, preserve role and tool semantics, and produce the next assistant response after the final item.", + transcript + ].join("\n\n"); + return { system, text: text2, media }; +} + +// metrics.js +var DEFAULT_DURATION_BUCKETS = [5e-3, 0.01, 0.025, 0.05, 0.1, 0.25, 0.5, 1, 2.5, 5, 10, 30]; +var ROUTES = Object.freeze({ + health: "/health", + metrics: "/metrics", + models: "/v1/models", + chatCompletions: "/v1/chat/completions", + responses: "/v1/responses", + messages: "/v1/messages", + geminiGenerate: "/v1beta/models/:model:generateContent", + geminiStreamGenerate: "/v1beta/models/:model:streamGenerateContent", + unknown: "unknown" +}); +var FIXED_ROUTES = new Set(Object.values(ROUTES)); +var METHODS = /* @__PURE__ */ new Set(["GET", "POST", "OPTIONS", "HEAD", "PUT", "PATCH", "DELETE"]); +var UPSTREAM_OUTCOMES = /* @__PURE__ */ new Set(["success", "error", "timeout", "cancelled"]); +var MEDIA_OUTCOMES = /* @__PURE__ */ new Set(["success", "error", "timeout", "cancelled", "rejected"]); +function escapeHelp(value) { + return String(value).replaceAll("\\", "\\\\").replaceAll("\n", "\\n"); +} +function escapeLabel(value) { + return String(value).replaceAll("\\", "\\\\").replaceAll("\n", "\\n").replaceAll('"', '\\"'); +} +function number(value) { + if (value === Infinity) return "+Inf"; + if (value === -Infinity) return "-Inf"; + if (Number.isNaN(value)) return "NaN"; + return String(value); +} +function assertMetricName(name) { + if (!/^[a-zA-Z_:][a-zA-Z0-9_:]*$/.test(name)) throw new TypeError(`Invalid metric name: ${name}`); +} +function assertLabelNames(labelNames) { + const unique = new Set(labelNames); + if (unique.size !== labelNames.length) throw new TypeError("Metric label names must be unique"); + for (const name of labelNames) { + if (!/^[a-zA-Z_][a-zA-Z0-9_]*$/.test(name) || name === "le") { + throw new TypeError(`Invalid metric label name: ${name}`); + } + } +} +function normalizeDefinition(nameOrOptions, help, labelNames = [], extra = {}) { + if (typeof nameOrOptions === "object" && nameOrOptions !== null) return nameOrOptions; + return { name: nameOrOptions, help, labelNames, ...extra }; +} +function labelsKey(labelNames, labels) { + const values = labelNames.map((name) => { + if (!(name in labels)) throw new TypeError(`Missing metric label: ${name}`); + return String(labels[name]); + }); + return JSON.stringify(values); +} +function formatLabels(labelNames, values, additional) { + const pairs = labelNames.map((name, index) => `${name}="${escapeLabel(values[index])}"`); + if (additional) pairs.push(`${additional.name}="${escapeLabel(additional.value)}"`); + return pairs.length ? `{${pairs.join(",")}}` : ""; +} +var Metric = class { + constructor(registry, options, type) { + const { name, help, labelNames = [] } = options; + assertMetricName(name); + assertLabelNames(labelNames); + if (!help) throw new TypeError(`Metric ${name} requires help text`); + this.name = name; + this.help = String(help); + this.labelNames = [...labelNames]; + this.type = type; + this.values = /* @__PURE__ */ new Map(); + registry._register(this); + } + _entry(labels = {}, create) { + const key = labelsKey(this.labelNames, labels); + let entry = this.values.get(key); + if (!entry && create) { + entry = create(this.labelNames.map((name) => String(labels[name]))); + this.values.set(key, entry); + } + return entry; + } + reset() { + this.values.clear(); + if (this.labelNames.length === 0) this._initialize(); + } + _entries() { + return [...this.values.entries()].sort(([a], [b]) => a.localeCompare(b)).map(([, entry]) => entry); + } +}; +var Counter = class extends Metric { + constructor(registry, options) { + super(registry, options, "counter"); + this._initialize(); + } + _initialize() { + if (this.labelNames.length === 0) this._entry({}, (labels) => ({ labels, value: 0 })); + } + inc(labels = {}, amount = 1) { + if (typeof labels === "number") [amount, labels] = [labels, {}]; + if (!Number.isFinite(amount) || amount < 0) throw new RangeError("Counter increments must be finite and non-negative"); + this._entry(labels, (values) => ({ labels: values, value: 0 })).value += amount; + } + _serialize() { + return this._entries().map((entry) => `${this.name}${formatLabels(this.labelNames, entry.labels)} ${number(entry.value)}`); + } +}; +var Gauge = class extends Metric { + constructor(registry, options) { + super(registry, options, "gauge"); + this._initialize(); + } + _initialize() { + if (this.labelNames.length === 0) this._entry({}, (labels) => ({ labels, value: 0 })); + } + set(labels = {}, value) { + if (typeof labels === "number") [value, labels] = [labels, {}]; + if (!Number.isFinite(value)) throw new RangeError("Gauge values must be finite"); + this._entry(labels, (values) => ({ labels: values, value: 0 })).value = value; + } + inc(labels = {}, amount = 1) { + if (typeof labels === "number") [amount, labels] = [labels, {}]; + if (!Number.isFinite(amount)) throw new RangeError("Gauge increments must be finite"); + this._entry(labels, (values) => ({ labels: values, value: 0 })).value += amount; + } + dec(labels = {}, amount = 1) { + if (typeof labels === "number") [amount, labels] = [labels, {}]; + this.inc(labels, -amount); + } + _serialize() { + return this._entries().map((entry) => `${this.name}${formatLabels(this.labelNames, entry.labels)} ${number(entry.value)}`); + } +}; +var Histogram = class extends Metric { + constructor(registry, options) { + super(registry, options, "histogram"); + const buckets = options.buckets ?? DEFAULT_DURATION_BUCKETS; + if (!Array.isArray(buckets) || buckets.length === 0 || buckets.some((value) => !Number.isFinite(value))) { + throw new TypeError("Histogram buckets must be a non-empty array of finite numbers"); + } + this.buckets = [...new Set(buckets)].sort((a, b) => a - b); + this._initialize(); + } + _initialize() { + if (this.labelNames.length === 0) { + this._entry({}, (labels) => ({ labels, count: 0, sum: 0, buckets: this.buckets.map(() => 0) })); + } + } + observe(labels = {}, value) { + if (typeof labels === "number") [value, labels] = [labels, {}]; + if (!Number.isFinite(value)) throw new RangeError("Histogram observations must be finite"); + const entry = this._entry(labels, (values) => ({ + labels: values, + count: 0, + sum: 0, + buckets: this.buckets.map(() => 0) + })); + entry.count++; + entry.sum += value; + this.buckets.forEach((upperBound, index) => { + if (value <= upperBound) entry.buckets[index]++; + }); + } + _serialize() { + const lines = []; + for (const entry of this._entries()) { + this.buckets.forEach((upperBound, index) => { + lines.push(`${this.name}_bucket${formatLabels(this.labelNames, entry.labels, { name: "le", value: number(upperBound) })} ${entry.buckets[index]}`); + }); + lines.push(`${this.name}_bucket${formatLabels(this.labelNames, entry.labels, { name: "le", value: "+Inf" })} ${entry.count}`); + lines.push(`${this.name}_sum${formatLabels(this.labelNames, entry.labels)} ${number(entry.sum)}`); + lines.push(`${this.name}_count${formatLabels(this.labelNames, entry.labels)} ${entry.count}`); + } + return lines; + } +}; +function createRegistry() { + const metrics = /* @__PURE__ */ new Map(); + return { + _register(metric2) { + if (metrics.has(metric2.name)) throw new Error(`Metric already registered: ${metric2.name}`); + metrics.set(metric2.name, metric2); + }, + counter(nameOrOptions, help, labelNames) { + return new Counter(this, normalizeDefinition(nameOrOptions, help, labelNames)); + }, + gauge(nameOrOptions, help, labelNames) { + return new Gauge(this, normalizeDefinition(nameOrOptions, help, labelNames)); + }, + histogram(nameOrOptions, help, labelNames, buckets) { + return new Histogram(this, normalizeDefinition(nameOrOptions, help, labelNames, { buckets })); + }, + reset() { + for (const metric2 of metrics.values()) metric2.reset(); + }, + metrics() { + const lines = []; + for (const metric2 of [...metrics.values()].sort((a, b) => a.name.localeCompare(b.name))) { + lines.push(`# HELP ${metric2.name} ${escapeHelp(metric2.help)}`); + lines.push(`# TYPE ${metric2.name} ${metric2.type}`); + lines.push(...metric2._serialize()); + } + return `${lines.join("\n")} +`; + } + }; +} +function normalizeRoute(pathOrUrl) { + let pathname = String(pathOrUrl ?? ""); + try { + pathname = new URL(pathname, "http://metrics.invalid").pathname; + } catch { + return ROUTES.unknown; + } + if (FIXED_ROUTES.has(pathname) && pathname !== ROUTES.unknown) return pathname; + if (/^\/v1beta\/models\/.+:generateContent$/.test(pathname)) return ROUTES.geminiGenerate; + if (/^\/v1beta\/models\/.+:streamGenerateContent$/.test(pathname)) return ROUTES.geminiStreamGenerate; + return ROUTES.unknown; +} +function bounded(value, allowed) { + const normalized = String(value ?? "").toLowerCase(); + return allowed.has(normalized) ? normalized : "other"; +} +function nonNegative(value, field) { + if (!Number.isFinite(value) || value < 0) throw new RangeError(`${field} must be finite and non-negative`); + return value; +} +function createMetrics() { + const registry = createRegistry(); + const httpRequests = registry.counter({ name: "opencode_proxy_http_requests_total", help: "Completed HTTP requests.", labelNames: ["method", "route", "status"] }); + const httpDuration = registry.histogram({ name: "opencode_proxy_http_request_duration_seconds", help: "HTTP request completion duration in seconds.", labelNames: ["method", "route", "status"] }); + const activeRequests = registry.gauge({ name: "opencode_proxy_active_requests", help: "Requests currently being processed." }); + const queuedRequests = registry.gauge({ name: "opencode_proxy_queued_requests", help: "Requests waiting for a processing slot." }); + const upstreamAttempts = registry.counter({ name: "opencode_proxy_upstream_attempts_total", help: "Upstream request attempts by outcome.", labelNames: ["outcome"] }); + const tokens = registry.counter({ name: "opencode_proxy_tokens_total", help: "Model tokens processed by direction.", labelNames: ["direction"] }); + const mediaRequests = registry.counter({ name: "opencode_proxy_remote_media_requests_total", help: "Remote media fetches by outcome.", labelNames: ["outcome"] }); + const mediaBytes = registry.counter({ name: "opencode_proxy_remote_media_bytes_total", help: "Bytes received from successful remote media fetches." }); + const mediaRedirects = registry.counter({ name: "opencode_proxy_remote_media_redirects_total", help: "Redirects followed while fetching remote media." }); + const mediaInFlight = registry.gauge({ name: "opencode_proxy_remote_media_in_flight", help: "Remote media fetches currently in flight." }); + const mediaDuration = registry.histogram({ name: "opencode_proxy_remote_media_duration_seconds", help: "Remote media fetch duration in seconds.", labelNames: ["outcome"] }); + function httpLabels({ method, route, pathname, status }) { + const normalizedMethod = String(method ?? "").toUpperCase(); + const numericStatus = Number(status); + return { + method: METHODS.has(normalizedMethod) ? normalizedMethod : "OTHER", + route: normalizeRoute(route ?? pathname), + status: Number.isInteger(numericStatus) && numericStatus >= 100 && numericStatus <= 599 ? String(numericStatus) : "unknown" + }; + } + return { + registry, + metrics: () => registry.metrics(), + serialize: () => registry.metrics(), + reset: () => registry.reset(), + recordHttpCompletion(details) { + const labels = httpLabels(details); + const duration = details.durationSeconds ?? (details.durationMs === void 0 ? void 0 : details.durationMs / 1e3); + nonNegative(duration, "duration"); + httpRequests.inc(labels); + httpDuration.observe(labels, duration); + }, + incActiveRequests(amount = 1) { + activeRequests.inc(nonNegative(amount, "amount")); + }, + decActiveRequests(amount = 1) { + activeRequests.dec(nonNegative(amount, "amount")); + }, + setActiveRequests(value) { + activeRequests.set(nonNegative(value, "active requests")); + }, + incQueuedRequests(amount = 1) { + queuedRequests.inc(nonNegative(amount, "amount")); + }, + decQueuedRequests(amount = 1) { + queuedRequests.dec(nonNegative(amount, "amount")); + }, + setQueuedRequests(value) { + queuedRequests.set(nonNegative(value, "queued requests")); + }, + recordUpstreamAttempt(outcome) { + upstreamAttempts.inc({ outcome: bounded(outcome, UPSTREAM_OUTCOMES) }); + }, + recordTokens({ input = 0, output = 0 }) { + tokens.inc({ direction: "input" }, nonNegative(input, "input tokens")); + tokens.inc({ direction: "output" }, nonNegative(output, "output tokens")); + }, + startRemoteMedia() { + mediaInFlight.inc(); + let finished = false; + return ({ outcome, bytes = 0, redirects = 0, durationSeconds, durationMs } = {}) => { + if (finished) return; + finished = true; + mediaInFlight.dec(); + this.recordRemoteMedia({ outcome, bytes, redirects, durationSeconds, durationMs }); + }; + }, + recordRemoteMedia({ outcome, bytes = 0, redirects = 0, durationSeconds, durationMs }) { + const normalizedOutcome = bounded(outcome, MEDIA_OUTCOMES); + const duration = durationSeconds ?? (durationMs === void 0 ? void 0 : durationMs / 1e3); + nonNegative(bytes, "remote media bytes"); + nonNegative(redirects, "remote media redirects"); + nonNegative(duration, "duration"); + mediaRequests.inc({ outcome: normalizedOutcome }); + mediaBytes.inc(bytes); + mediaRedirects.inc(redirects); + mediaDuration.observe({ outcome: normalizedOutcome }, duration); + } + }; +} +var defaultMetrics = createMetrics(); +function getMetrics() { + return defaultMetrics; +} + +// remote-media.js +import http from "node:http"; +import https from "node:https"; +import dns from "node:dns/promises"; +import net from "node:net"; +import { Buffer } from "node:buffer"; +var DEFAULT_ACCEPTED_MIME_TYPES = Object.freeze([ + "image/avif", + "image/gif", + "image/jpeg", + "image/png", + "image/webp", + "audio/aac", + "audio/flac", + "audio/m4a", + "audio/mp4", + "audio/mpeg", + "audio/ogg", + "audio/wav", + "audio/webm", + "application/pdf" +]); +var REMOTE_MEDIA_DEFAULTS = Object.freeze({ + enabled: false, + allowedSchemes: Object.freeze(["https"]), + acceptedMimeTypes: DEFAULT_ACCEPTED_MIME_TYPES, + maxBytes: 10 * 1024 * 1024, + maxItems: 4, + maxTotalItems: 64, + maxRedirects: 3, + timeoutMs: 15e3 +}); +var MediaError = class extends Error { + constructor(message, status = 400, code = "invalid_media") { + super(message); + this.name = "MediaError"; + this.status = status; + this.code = code; + } +}; +function fail(message, status, code) { + return new MediaError(message, status, code); +} +function parseIPv4(address) { + if (net.isIP(address) !== 4) return null; + const bytes = address.split(".").map(Number); + return bytes.length === 4 && bytes.every((byte) => Number.isInteger(byte) && byte >= 0 && byte <= 255) ? Uint8Array.from(bytes) : null; +} +function parseIPv6(address) { + if (typeof address !== "string" || address.includes("%") || net.isIP(address) !== 6) return null; + let input = address.toLowerCase(); + const embeddedAt = input.lastIndexOf(":"); + if (input.includes(".")) { + const ipv4 = parseIPv4(input.slice(embeddedAt + 1)); + if (!ipv4) return null; + input = `${input.slice(0, embeddedAt)}:${(ipv4[0] << 8 | ipv4[1]).toString(16)}:${(ipv4[2] << 8 | ipv4[3]).toString(16)}`; + } + const halves = input.split("::"); + if (halves.length > 2) return null; + const left = halves[0] ? halves[0].split(":") : []; + const right = halves.length === 2 && halves[1] ? halves[1].split(":") : []; + const missing = 8 - left.length - right.length; + if (halves.length === 1 && missing !== 0 || halves.length === 2 && missing < 1) return null; + const words = [...left, ...Array(missing).fill("0"), ...right]; + if (words.length !== 8 || words.some((word) => !/^[0-9a-f]{1,4}$/.test(word))) return null; + const bytes = new Uint8Array(16); + words.forEach((word, index) => { + const value = Number.parseInt(word, 16); + bytes[index * 2] = value >> 8; + bytes[index * 2 + 1] = value & 255; + }); + return bytes; +} +function parseIPAddress(address) { + const ipv4 = parseIPv4(address); + if (ipv4) return { family: 4, bytes: ipv4 }; + const ipv6 = parseIPv6(address); + return ipv6 ? { family: 6, bytes: ipv6 } : null; +} +function matchesPrefix(bytes, prefix, bits) { + const whole = Math.floor(bits / 8); + const remainder = bits % 8; + for (let index = 0; index < whole; index += 1) { + if (bytes[index] !== prefix[index]) return false; + } + if (!remainder) return true; + const mask = 255 << 8 - remainder & 255; + return (bytes[whole] & mask) === (prefix[whole] & mask); +} +function addressInPrefix(address, cidr) { + const [prefixAddress, rawBits] = String(cidr).split("/"); + const addressValue = parseIPAddress(address); + const prefixValue = parseIPAddress(prefixAddress); + const bits = Number(rawBits); + return Boolean(addressValue && prefixValue && addressValue.family === prefixValue.family && Number.isInteger(bits) && bits >= 0 && bits <= addressValue.bytes.length * 8 && matchesPrefix(addressValue.bytes, prefixValue.bytes, bits)); +} +var BLOCKED_IPV4 = [ + "0.0.0.0/8", + "10.0.0.0/8", + "100.64.0.0/10", + "127.0.0.0/8", + "169.254.0.0/16", + "172.16.0.0/12", + "192.0.0.0/24", + "192.0.2.0/24", + "192.88.99.0/24", + "192.168.0.0/16", + "198.18.0.0/15", + "198.51.100.0/24", + "203.0.113.0/24", + "224.0.0.0/4", + "240.0.0.0/4" +]; +var BLOCKED_IPV6 = [ + "::/96", + "64:ff9b::/96", + "64:ff9b:1::/48", + "100::/64", + "2001::/32", + "2001:2::/48", + "2001:10::/28", + "2001:20::/28", + "2001:db8::/32", + "2002::/16", + "3fff::/20", + "5f00::/16", + "fc00::/7", + "fe80::/10", + "ff00::/8" +]; +function mappedIPv4(parsed) { + if (parsed.family !== 6) return null; + const bytes = parsed.bytes; + const mapped = bytes.slice(0, 10).every((byte) => byte === 0) && bytes[10] === 255 && bytes[11] === 255; + return mapped ? `${bytes[12]}.${bytes[13]}.${bytes[14]}.${bytes[15]}` : null; +} +function isPublicIPAddress(address) { + const parsed = parseIPAddress(address); + if (!parsed) return false; + const mapped = mappedIPv4(parsed); + if (mapped) return isPublicIPAddress(mapped); + const ranges = parsed.family === 4 ? BLOCKED_IPV4 : BLOCKED_IPV6; + return !ranges.some((cidr) => addressInPrefix(address, cidr)); +} +function configuredSchemes(config) { + const schemes = config.allowedSchemes ?? REMOTE_MEDIA_DEFAULTS.allowedSchemes; + if (!Array.isArray(schemes) || schemes.length === 0) throw fail("Remote media configuration is invalid.", 500, "invalid_config"); + const normalized = schemes.map((scheme) => `${String(scheme).toLowerCase().replace(/:$/, "")}:`); + if (normalized.some((scheme) => scheme !== "http:" && scheme !== "https:")) { + throw fail("Remote media configuration is invalid.", 500, "invalid_config"); + } + return normalized; +} +function validateRemoteUrl(value, config = {}) { + let url; + try { + url = new URL(value); + } catch { + throw fail("Remote media URL is invalid.", 400, "invalid_media_url"); + } + if (!configuredSchemes(config).includes(url.protocol)) throw fail("Remote media URL scheme is not allowed.", 400, "invalid_media_url"); + if (url.username || url.password) throw fail("Remote media URL credentials are not allowed.", 400, "invalid_media_url"); + if (!url.hostname) throw fail("Remote media URL is invalid.", 400, "invalid_media_url"); + return url; +} +function hostnameOf(url) { + return url.hostname.startsWith("[") ? url.hostname.slice(1, -1) : url.hostname; +} +async function resolvePublicHost(hostname, lookup = dns.lookup) { + const literal = parseIPAddress(hostname); + const answers = literal ? [{ address: hostname, family: literal.family }] : await lookup(hostname, { all: true, verbatim: true }); + if (!Array.isArray(answers) || answers.length === 0) throw fail("Remote media host could not be resolved.", 502, "media_fetch_failed"); + const normalized = answers.map((answer) => ({ address: answer.address, family: Number(answer.family) || net.isIP(answer.address) })); + if (normalized.some((answer) => !parseIPAddress(answer.address) || !isPublicIPAddress(answer.address))) { + throw fail("Remote media host is not public.", 400, "blocked_media_host"); + } + return normalized; +} +function sameAddress(left, right) { + const a = parseIPAddress(left); + const b = parseIPAddress(right); + if (!a || !b) return false; + const aMapped = mappedIPv4(a); + const bMapped = mappedIPv4(b); + if (aMapped || bMapped) return sameAddress(aMapped ?? left, bMapped ?? right); + return a.family === b.family && a.bytes.every((byte, index) => byte === b.bytes[index]); +} +function metric(metrics, name, value = 1) { + if (!metrics) return; + if (typeof metrics.increment === "function") metrics.increment(name, value); + else if (typeof metrics === "function") metrics(name, value); + else metrics[name] = (Number(metrics[name]) || 0) + value; +} +function integerOption(config, name, fallback, minimum = 0) { + const value = config[name] ?? fallback; + if (!Number.isSafeInteger(value) || value < minimum) throw fail("Remote media configuration is invalid.", 500, "invalid_config"); + return value; +} +function acceptedMime(contentType, configured) { + const mime = String(contentType ?? "").split(";", 1)[0].trim().toLowerCase(); + const accepted = configured ?? REMOTE_MEDIA_DEFAULTS.acceptedMimeTypes; + if (!Array.isArray(accepted) || !accepted.every((entry) => typeof entry === "string")) { + throw fail("Remote media configuration is invalid.", 500, "invalid_config"); + } + const allowed = accepted.some((entry) => { + const pattern = entry.toLowerCase(); + return pattern.endsWith("/*") ? mime.startsWith(pattern.slice(0, -1)) : mime === pattern; + }); + if (!mime || !allowed) throw fail("Remote media type is not supported.", 415, "unsupported_media_type"); + return mime; +} +function header(response, name) { + const value = response.headers?.[name]; + return Array.isArray(value) ? value.join(",") : value; +} +function abortError(state) { + return state.timedOut ? fail("Remote media download timed out.", 504, "media_timeout") : fail("Remote media download was aborted.", 499, "media_aborted"); +} +function abortable(promise, signal, state) { + if (signal.aborted) return Promise.reject(abortError(state)); + return new Promise((resolve, reject) => { + const onAbort = () => reject(abortError(state)); + signal.addEventListener("abort", onAbort, { once: true }); + promise.then(resolve, reject).finally(() => signal.removeEventListener("abort", onAbort)); + }); +} +async function readBody(response, maxBytes, metrics, signal, state) { + const rawLength = header(response, "content-length"); + if (rawLength !== void 0) { + if (!/^\d+$/.test(String(rawLength)) || Number(rawLength) > maxBytes) { + response.destroy?.(); + throw fail("Remote media is too large.", 413, "media_too_large"); + } + } + const chunks = []; + let total = 0; + const onAbort = () => response.destroy?.(abortError(state)); + signal.addEventListener("abort", onAbort, { once: true }); + try { + for await (const chunk of response) { + const bytes = Buffer.isBuffer(chunk) ? chunk : Buffer.from(chunk); + total += bytes.length; + if (total > maxBytes) { + response.destroy?.(); + throw fail("Remote media is too large.", 413, "media_too_large"); + } + chunks.push(bytes); + } + } catch (error) { + if (error instanceof MediaError) throw error; + throw fail("Remote media could not be downloaded.", 502, "media_fetch_failed"); + } finally { + signal.removeEventListener("abort", onAbort); + } + metric(metrics, "remoteMediaBytes", total); + return Buffer.concat(chunks, total); +} +function responseFor(url, pin, signal, config, state) { + const dependencies = config.dependencies ?? {}; + const request = url.protocol === "https:" ? dependencies.httpsRequest ?? https.request : dependencies.httpRequest ?? http.request; + return new Promise((resolve, reject) => { + let settled = false; + let onAbort; + const finish = (callback, value) => { + if (settled) return; + settled = true; + signal.removeEventListener("abort", onAbort); + callback(value); + }; + const pinnedLookup = (_hostname, options, callback) => { + if (options?.all) callback(null, [pin]); + else callback(null, pin.address, pin.family); + }; + let req; + try { + req = request(url, { + method: "GET", + agent: false, + signal, + lookup: pinnedLookup, + headers: { accept: "*/*", "accept-encoding": "identity" } + }, (response) => { + const remoteAddress = response.socket?.remoteAddress; + if (!remoteAddress || !sameAddress(remoteAddress, pin.address) || !isPublicIPAddress(remoteAddress)) { + response.destroy?.(); + finish(reject, fail("Remote media connection was rejected.", 400, "blocked_media_host")); + return; + } + finish(resolve, response); + }); + } catch { + finish(reject, fail("Remote media could not be downloaded.", 502, "media_fetch_failed")); + return; + } + req.on("error", (error) => { + if (error instanceof MediaError) finish(reject, error); + else if (state.timedOut) finish(reject, fail("Remote media download timed out.", 504, "media_timeout")); + else if (signal.aborted) finish(reject, fail("Remote media download was aborted.", 499, "media_aborted")); + else finish(reject, fail("Remote media could not be downloaded.", 502, "media_fetch_failed")); + }); + onAbort = () => { + req.destroy?.(); + finish(reject, abortError(state)); + }; + signal.addEventListener("abort", onAbort, { once: true }); + if (signal.aborted) { + onAbort(); + return; + } + req.on("socket", (socket) => { + socket.once("connect", () => { + if (!sameAddress(socket.remoteAddress, pin.address) || !isPublicIPAddress(socket.remoteAddress)) { + req.destroy(fail("Remote media connection was rejected.", 400, "blocked_media_host")); + } + }); + }); + req.end(); + }); +} +async function download(initialUrl, signal, config, metrics, state) { + const maxRedirects = integerOption(config, "maxRedirects", REMOTE_MEDIA_DEFAULTS.maxRedirects); + const maxBytes = integerOption(config, "maxBytes", REMOTE_MEDIA_DEFAULTS.maxBytes, 1); + const lookup = config.dependencies?.lookup ?? dns.lookup; + let url = initialUrl; + for (let redirects = 0; ; redirects += 1) { + const answers = await abortable(resolvePublicHost(hostnameOf(url), lookup), signal, state).catch((error) => { + if (error instanceof MediaError) throw error; + throw fail("Remote media host could not be resolved.", 502, "media_fetch_failed"); + }); + const response = await responseFor(url, answers[0], signal, config, state); + const status = response.statusCode ?? 0; + if ([301, 302, 303, 307, 308].includes(status)) { + response.destroy?.(); + if (redirects >= maxRedirects || !header(response, "location")) { + throw fail("Remote media redirect was rejected.", 502, "media_redirect_rejected"); + } + let next; + try { + next = validateRemoteUrl(new URL(header(response, "location"), url).href, config); + } catch (error) { + if (error instanceof MediaError) throw error; + throw fail("Remote media redirect was rejected.", 502, "media_redirect_rejected"); + } + if (url.protocol === "https:" && next.protocol !== "https:") { + throw fail("Remote media redirect was rejected.", 502, "media_redirect_rejected"); + } + metric(metrics, "remoteMediaRedirects"); + url = next; + continue; + } + if (status < 200 || status >= 300) { + response.destroy?.(); + throw fail("Remote media server returned an invalid response.", 502, "media_fetch_failed"); + } + const encoding = String(header(response, "content-encoding") ?? "identity").trim().toLowerCase(); + if (encoding !== "identity") { + response.destroy?.(); + throw fail("Encoded remote media is not supported.", 415, "unsupported_media_encoding"); + } + let mime; + try { + mime = acceptedMime(header(response, "content-type"), config.acceptedMimeTypes); + } catch (error) { + response.destroy?.(); + throw error; + } + const body = await readBody(response, maxBytes, metrics, signal, state); + return { mime, url: `data:${mime};base64,${body.toString("base64")}` }; + } +} +async function prepareMedia(media, config = {}, signal, metrics) { + if (media == null) return []; + if (!Array.isArray(media)) throw fail("Media must be an array.", 400, "invalid_media"); + const maxTotalItems = integerOption(config, "maxTotalItems", REMOTE_MEDIA_DEFAULTS.maxTotalItems); + if (media.length > maxTotalItems) throw fail("Too many media items.", 413, "too_many_media_items"); + const remote = media.filter((item) => typeof item?.url === "string" && !item.url.startsWith("data:")); + const maxItems = integerOption(config, "maxItems", REMOTE_MEDIA_DEFAULTS.maxItems); + if (remote.length > maxItems) throw fail("Too many remote media items.", 413, "too_many_media_items"); + if (media.some((item) => !item || typeof item.url !== "string")) throw fail("Media item is invalid.", 400, "invalid_media"); + if (remote.length && config.enabled !== true) throw fail("Remote media is disabled.", 400, "remote_media_disabled"); + if (!remote.length) return [...media]; + const timeoutMs = integerOption(config, "timeoutMs", REMOTE_MEDIA_DEFAULTS.timeoutMs, 1); + const dependencies = config.dependencies ?? {}; + const controller = new AbortController(); + const state = { timedOut: false }; + const abortFromParent = () => controller.abort(signal?.reason); + if (signal?.aborted) abortFromParent(); + else signal?.addEventListener("abort", abortFromParent, { once: true }); + const timer = (dependencies.setTimeout ?? setTimeout)(() => { + state.timedOut = true; + controller.abort(); + }, timeoutMs); + const result = []; + try { + for (const item of media) { + if (item.url.startsWith("data:")) { + result.push(item); + continue; + } + metric(metrics, "remoteMediaAttempts"); + const prepared = await download(validateRemoteUrl(item.url, config), controller.signal, config, metrics, state); + result.push({ ...item, ...prepared }); + metric(metrics, "remoteMediaDownloads"); + } + return result; + } catch (error) { + metric(metrics, "remoteMediaFailures"); + if (error instanceof MediaError) throw error; + if (state.timedOut) throw fail("Remote media download timed out.", 504, "media_timeout"); + if (controller.signal.aborted) throw fail("Remote media download was aborted.", 499, "media_aborted"); + throw fail("Remote media could not be downloaded.", 502, "media_fetch_failed"); + } finally { + (dependencies.clearTimeout ?? clearTimeout)(timer); + signal?.removeEventListener("abort", abortFromParent); + } +} + +// index.js +var STATE_KEY = "__opencodeOpenAIProxyState"; +var BRIDGE_SCRIPT_PATH = fileURLToPath(new URL("./mcp-tool-bridge.js", import.meta.url)); +function getState() { + if (!globalThis[STATE_KEY]) { + globalThis[STATE_KEY] = { started: false }; + } + return globalThis[STATE_KEY]; +} +var DEFAULTS = Object.freeze({ + requestTimeoutMs: 12e4, + maxRequestBytes: 1024 * 1024, + maxConcurrentRequests: 8, + maxQueuedRequests: 32, + bridgeAcquireTimeoutMs: 1e4, + bridgeMaxQueue: 32 +}); +var ProxyError = class extends Error { + constructor(message, status = 500, code = "server_error") { + super(message); + this.name = "ProxyError"; + this.status = status; + this.code = code; + } +}; +function integerEnv(name, fallback, { min = 0, max = Number.MAX_SAFE_INTEGER } = {}) { + const raw = process.env[name]; + if (raw === void 0 || raw.trim() === "") return fallback; + const value = Number(raw); + if (!Number.isSafeInteger(value) || value < min || value > max) { + throw new ProxyError(`${name} must be an integer between ${min} and ${max}.`, 500, "invalid_config"); + } + return value; +} +function jsonArrayEnv(name) { + const raw = process.env[name]; + if (!raw?.trim()) return []; + try { + const value = JSON.parse(raw); + if (!Array.isArray(value) || value.some((entry) => typeof entry !== "string" || !entry.trim())) throw new Error(); + return value.map((entry) => entry.trim()); + } catch { + throw new ProxyError(`${name} must be a JSON array of non-empty strings.`, 500, "invalid_config"); + } +} +function objectEnv(name) { + const raw = process.env[name]; + if (!raw?.trim()) return {}; + try { + const value = JSON.parse(raw); + if (!value || typeof value !== "object" || Array.isArray(value)) throw new Error(); + return value; + } catch { + throw new ProxyError(`${name} must be a JSON object.`, 500, "invalid_config"); + } +} +function booleanEnv(name, fallback = false) { + const raw = process.env[name]; + if (raw === void 0 || raw.trim() === "") return fallback; + if (raw === "true") return true; + if (raw === "false") return false; + throw new ProxyError(`${name} must be 'true' or 'false'.`, 500, "invalid_config"); +} +function jsonArrayEnvDefault(name, fallback) { + return process.env[name]?.trim() ? jsonArrayEnv(name) : [...fallback]; +} +function loadConfig() { + const legacyToken = process.env.OPENCODE_LLM_PROXY_TOKEN?.trim(); + const configuredOrigin = process.env.OPENCODE_LLM_PROXY_CORS_ORIGIN?.trim(); + const origins = jsonArrayEnv("OPENCODE_LLM_PROXY_CORS_ORIGINS"); + if (configuredOrigin) origins.push(configuredOrigin); + const maxRequestBytes = integerEnv("OPENCODE_LLM_PROXY_MAX_REQUEST_BYTES", DEFAULTS.maxRequestBytes, { min: 1, max: 100 * 1024 * 1024 }); + return { + tokens: [...new Set([legacyToken, ...jsonArrayEnv("OPENCODE_LLM_PROXY_TOKENS")].filter(Boolean))], + corsOrigins: [...new Set(origins)], + allowPrivateNetwork: process.env.OPENCODE_LLM_PROXY_ALLOW_PRIVATE_NETWORK === "true", + requestTimeoutMs: integerEnv("OPENCODE_LLM_PROXY_REQUEST_TIMEOUT_MS", DEFAULTS.requestTimeoutMs, { min: 1, max: 36e5 }), + maxRequestBytes, + maxConcurrentRequests: integerEnv("OPENCODE_LLM_PROXY_MAX_CONCURRENT_REQUESTS", DEFAULTS.maxConcurrentRequests, { min: 1, max: 1e3 }), + maxQueuedRequests: integerEnv("OPENCODE_LLM_PROXY_MAX_QUEUED_REQUESTS", DEFAULTS.maxQueuedRequests, { min: 0, max: 1e4 }), + bridgeAcquireTimeoutMs: integerEnv("OPENCODE_LLM_PROXY_TOOL_BRIDGE_ACQUIRE_TIMEOUT_MS", DEFAULTS.bridgeAcquireTimeoutMs, { min: 1, max: 36e5 }), + bridgeMaxQueue: integerEnv("OPENCODE_LLM_PROXY_TOOL_BRIDGE_MAX_QUEUE", DEFAULTS.bridgeMaxQueue, { min: 0, max: 1e4 }), + keepSessions: process.env.OPENCODE_LLM_PROXY_KEEP_SESSIONS === "true", + aliases: objectEnv("OPENCODE_LLM_PROXY_MODEL_ALIASES"), + metricsEnabled: booleanEnv("OPENCODE_LLM_PROXY_METRICS_ENABLED"), + remoteMedia: { + enabled: booleanEnv("OPENCODE_LLM_PROXY_REMOTE_MEDIA_ENABLED"), + allowedSchemes: jsonArrayEnvDefault("OPENCODE_LLM_PROXY_REMOTE_MEDIA_ALLOWED_SCHEMES", ["https"]), + maxBytes: integerEnv("OPENCODE_LLM_PROXY_REMOTE_MEDIA_MAX_BYTES", maxRequestBytes || 1024 * 1024, { min: 1, max: 100 * 1024 * 1024 }), + maxItems: integerEnv("OPENCODE_LLM_PROXY_REMOTE_MEDIA_MAX_ITEMS", 4, { min: 0, max: 1e4 }), + maxTotalItems: integerEnv("OPENCODE_LLM_PROXY_MAX_MEDIA_ITEMS", 64, { min: 1, max: 1e4 }), + maxRedirects: integerEnv("OPENCODE_LLM_PROXY_REMOTE_MEDIA_MAX_REDIRECTS", 3, { min: 0, max: 100 }), + timeoutMs: integerEnv("OPENCODE_LLM_PROXY_REMOTE_MEDIA_TIMEOUT_MS", 1e4, { min: 1, max: 36e5 }) + } + }; +} +function commonHeaders(request, config) { + return { + "cache-control": "no-store", + pragma: "no-cache", + "x-content-type-options": "nosniff", + "referrer-policy": "no-referrer", + "x-frame-options": "DENY", + "content-security-policy": "default-src 'none'; frame-ancestors 'none'", + "x-request-id": request?.headers.get("x-request-id")?.slice(0, 128) || crypto.randomUUID(), + ...corsHeaders(request, config) + }; +} +function corsHeaders(request, config = loadConfig()) { + const requestedPrivateNetwork = request?.headers.get("access-control-request-private-network"); + const requestOrigin = request?.headers.get("origin"); + if (!requestOrigin) return {}; + const allowed = config.corsOrigins.includes("*") || config.corsOrigins.includes(requestOrigin); + if (!allowed) return { vary: "origin, access-control-request-method, access-control-request-headers" }; + const headers = { + vary: "origin, access-control-request-method, access-control-request-headers", + "access-control-allow-origin": config.corsOrigins.includes("*") ? "*" : requestOrigin, + "access-control-allow-headers": "authorization, content-type, x-opencode-provider, x-opencode-variant, x-request-id", + "access-control-allow-methods": "GET, POST, OPTIONS", + "access-control-max-age": "86400" + }; + if (requestedPrivateNetwork === "true" && config.allowPrivateNetwork) { + headers["access-control-allow-private-network"] = "true"; + } + return headers; +} +function json(data, status = 200, headers = {}, request, config) { + return new Response(JSON.stringify(data), { + status, + headers: { + "content-type": "application/json; charset=utf-8", + ...commonHeaders(request, config ?? loadConfig()), + ...headers + } + }); +} +function text(message, status = 200, request, config) { + return new Response(message, { + status, + headers: commonHeaders(request, config ?? loadConfig()) + }); +} +function unauthorized(request) { + return json( + { + error: { + message: "Unauthorized", + type: "invalid_request_error" + } + }, + 401, + { "www-authenticate": 'Bearer realm="OpenCode LLM Proxy"' }, + request + ); +} +function badRequest(message, status = 400, request, code) { + return json( + { + error: { + message, + type: "invalid_request_error", + ...code ? { code } : {} + } + }, + status, + {}, + request + ); +} +function internalError(message, status = 500, request) { + return json( + { + error: { + message, + type: "server_error" + } + }, + status, + {}, + request + ); +} +function getBearerToken(request) { + const header2 = request.headers.get("authorization") ?? ""; + const prefix = "Bearer "; + if (!header2.startsWith(prefix)) return void 0; + return header2.slice(prefix.length).trim(); +} +function tokensEqual(left, right) { + const a = Buffer2.from(left); + const b = Buffer2.from(right); + return a.length === b.length && timingSafeEqual(a, b); +} +function isAuthorized(request, config = loadConfig()) { + if (config.tokens.length === 0) return true; + const supplied = getBearerToken(request); + return Boolean(supplied && config.tokens.some((token) => tokensEqual(supplied, token))); +} +function isPlainObject(value) { + return Boolean(value && typeof value === "object" && !Array.isArray(value)); +} +async function readJsonBody(request, maxBytes, signal) { + const declared = Number(request.headers.get("content-length")); + if (Number.isFinite(declared) && declared > maxBytes) { + throw new ProxyError("Request body is too large.", 413, "request_too_large"); + } + if (!request.body) throw new ProxyError("Request body must be valid JSON.", 400, "invalid_json"); + const reader = request.body.getReader(); + const onAbort = () => reader.cancel(signal.reason).catch(() => { + }); + signal?.addEventListener("abort", onAbort, { once: true }); + const read = () => new Promise((resolve, reject) => { + const abort = () => { + cleanup(); + reject(signal.reason); + }; + const cleanup = () => signal?.removeEventListener("abort", abort); + signal?.addEventListener("abort", abort, { once: true }); + reader.read().then((value) => { + cleanup(); + resolve(value); + }, (error) => { + cleanup(); + reject(error); + }); + }); + const chunks = []; + let size = 0; + try { + while (true) { + const { value, done } = await read(); + if (done) break; + size += value.byteLength; + if (size > maxBytes) { + await reader.cancel(); + throw new ProxyError("Request body is too large.", 413, "request_too_large"); + } + chunks.push(value); + } + const body = JSON.parse(Buffer2.concat(chunks.map((chunk) => Buffer2.from(chunk))).toString("utf8")); + if (!isPlainObject(body)) throw new ProxyError("Request body must be a JSON object.", 400, "invalid_json"); + return body; + } catch (error) { + if (error instanceof ProxyError) throw error; + throw new ProxyError("Request body must be valid JSON.", 400, "invalid_json"); + } finally { + signal?.removeEventListener("abort", onAbort); + reader.releaseLock(); + } +} +function createRequestSignal(request, timeoutMs) { + const controller = new AbortController(); + const onAbort = () => controller.abort(new ProxyError("Request was cancelled.", 499, "cancelled")); + request.signal?.addEventListener("abort", onAbort, { once: true }); + const timer = setTimeout(() => controller.abort(new ProxyError("Upstream request timed out.", 504, "timeout")), timeoutMs); + timer.unref?.(); + return { + signal: controller.signal, + abort: (reason) => controller.abort(reason), + finish() { + clearTimeout(timer); + request.signal?.removeEventListener("abort", onAbort); + } + }; +} +function getRequestLimiter(config) { + const state = getState(); + const key = `${config.maxConcurrentRequests}:${config.maxQueuedRequests}`; + if (!state.requestLimiter || state.requestLimiter.key !== key) { + state.requestLimiter = { key, active: 0, waiters: [] }; + } + return state.requestLimiter; +} +async function acquireRequestSlot(config, signal) { + const limiter = getRequestLimiter(config); + const metrics = getMetrics(); + if (signal?.aborted) throw signal.reason ?? new ProxyError("Request was cancelled.", 499, "cancelled"); + if (limiter.active < config.maxConcurrentRequests) { + limiter.active++; + metrics.setActiveRequests(limiter.active); + return () => releaseRequestSlot(limiter); + } + if (limiter.waiters.length >= config.maxQueuedRequests) { + throw new ProxyError("The proxy is busy. Try again later.", 503, "overloaded"); + } + return new Promise((resolve, reject) => { + const waiter = { active: true }; + const cleanup = () => signal?.removeEventListener("abort", onAbort); + const onAbort = () => { + if (!waiter.active) return; + waiter.active = false; + limiter.waiters = limiter.waiters.filter((entry) => entry !== waiter); + metrics.setQueuedRequests(limiter.waiters.length); + cleanup(); + reject(signal.reason ?? new ProxyError("Request was cancelled.", 499, "cancelled")); + }; + waiter.resolve = () => { + if (!waiter.active) return false; + waiter.active = false; + cleanup(); + limiter.active++; + metrics.setActiveRequests(limiter.active); + metrics.setQueuedRequests(limiter.waiters.filter((entry) => entry.active).length); + resolve(() => releaseRequestSlot(limiter)); + return true; + }; + limiter.waiters.push(waiter); + metrics.setQueuedRequests(limiter.waiters.length); + signal?.addEventListener("abort", onAbort, { once: true }); + }); +} +function releaseRequestSlot(limiter) { + limiter.active = Math.max(0, limiter.active - 1); + getMetrics().setActiveRequests(limiter.active); + while (limiter.waiters.length > 0) { + const waiter = limiter.waiters.shift(); + if (waiter.resolve()) return; + } +} +function renderedSystem(canonicalSystem) { + return [ + canonicalSystem, + "You are answering through a proxy backed by OpenCode.", + "Return only the assistant's reply content." + ].filter(Boolean).join("\n\n"); +} +async function prepareCanonicalRequest(canonical2, config, signal, candidates = []) { + const rendered = renderOpenCodePrompt(canonical2); + for (const part of rendered.media) { + const kind = part.mime === "application/pdf" ? "pdf" : part.mime.split("/", 1)[0]; + if (candidates.length > 0 && candidates.every((model) => model.capabilities?.input?.[kind] === false)) { + throw new ProxyError(`The selected model does not support ${kind} input.`, 400, "unsupported_media"); + } + } + let finishRemoteMedia; + let remoteMediaBytes = 0; + let remoteMediaRedirects = 0; + let remoteMediaStarted = 0; + const finish = (outcome) => { + finishRemoteMedia?.({ + outcome, + bytes: remoteMediaBytes, + redirects: remoteMediaRedirects, + durationMs: Date.now() - remoteMediaStarted + }); + finishRemoteMedia = void 0; + }; + try { + const media = await prepareMedia(rendered.media, config.remoteMedia, signal, { + increment(name, value = 1) { + if (name === "remoteMediaAttempts") { + remoteMediaBytes = 0; + remoteMediaRedirects = 0; + remoteMediaStarted = Date.now(); + finishRemoteMedia = getMetrics().startRemoteMedia(); + } else if (name === "remoteMediaBytes") { + remoteMediaBytes += value; + } else if (name === "remoteMediaRedirects") { + remoteMediaRedirects += value; + } else if (name === "remoteMediaDownloads") { + finish("success"); + } + } + }); + return { messages: [{ role: "user", content: rendered.text }], system: renderedSystem(rendered.system), media }; + } catch (error) { + const outcome = error?.code === "media_timeout" ? "timeout" : error?.code === "media_aborted" ? "cancelled" : error?.status === 400 || error?.status === 413 || error?.status === 415 ? "rejected" : "error"; + finish(outcome); + if (error instanceof MediaError) throw new ProxyError(error.message, error.status, error.code); + throw error; + } +} +function toTextContent(content) { + if (typeof content === "string") return content; + if (!Array.isArray(content)) return ""; + return content.filter((part) => part && part.type === "text" && typeof part.text === "string").map((part) => part.text?.trim() ?? "").filter(Boolean).join("\n\n"); +} +function normalizeMessages(messages) { + if (!Array.isArray(messages)) return []; + const toolNameByCallId = /* @__PURE__ */ new Map(); + return messages.map((message) => { + if (!isPlainObject(message) || typeof message.role !== "string") return null; + if (message.role === "assistant" && Array.isArray(message.tool_calls) && message.tool_calls.length > 0) { + const baseText = toTextContent(message.content).trim(); + const callsText = message.tool_calls.map((call) => { + const name = call.function?.name ?? call.name ?? "unknown_tool"; + const args = call.function?.arguments ?? ""; + if (call.id) toolNameByCallId.set(call.id, name); + return `[Called tool ${name} with arguments ${args}]`; + }).join("\n"); + return { role: message.role, content: [baseText, callsText].filter(Boolean).join("\n\n") }; + } + if (message.role === "tool") { + const name = toolNameByCallId.get(message.tool_call_id) ?? "tool"; + const resultText = toTextContent(message.content).trim(); + return { role: "tool", content: `[Result from tool ${name}]: ${resultText}` }; + } + return { + role: message.role, + content: toTextContent(message.content).trim() + }; + }).filter((message) => message && message.content.length > 0); +} +function normalizeResponseInput(input) { + if (typeof input === "string") { + return [{ role: "user", content: input.trim() }].filter((message) => message.content); + } + if (!Array.isArray(input)) return []; + const toolNameByCallId = /* @__PURE__ */ new Map(); + return input.map((item) => { + if (item?.type === "function_call") { + const name = item.name ?? "unknown_tool"; + if (item.call_id) toolNameByCallId.set(item.call_id, name); + return { role: "assistant", content: `[Called tool ${name} with arguments ${item.arguments ?? ""}]` }; + } + if (item?.type === "function_call_output") { + const name = toolNameByCallId.get(item.call_id) ?? "tool"; + const output = typeof item.output === "string" ? item.output : JSON.stringify(item.output ?? ""); + return { role: "tool", content: `[Result from tool ${name}]: ${output}` }; + } + const role = item.role ?? item.type ?? "user"; + if (typeof item.content === "string") { + return { role, content: item.content.trim() }; + } + if (Array.isArray(item.content)) { + const content = item.content.map((part) => { + if (!part) return ""; + if (typeof part === "string") return part; + if (typeof part.text === "string") return part.text; + if (typeof part.input_text === "string") return part.input_text; + if (typeof part.output_text === "string") return part.output_text; + return ""; + }).filter(Boolean).join("\n\n").trim(); + return { role, content }; + } + if (Array.isArray(item.input)) { + const content = item.input.map((part) => { + if (!part) return ""; + if (typeof part === "string") return part; + if (typeof part.text === "string") return part.text; + if (typeof part.input_text === "string") return part.input_text; + return ""; + }).filter(Boolean).join("\n\n").trim(); + return { role, content }; + } + return { role, content: "" }; + }).filter((message) => message.content.length > 0); +} +function buildSystemPrompt(messages, _request) { + const systemMessages = messages.filter((message) => message.role === "system" || message.role === "developer").map((message) => message.content); + const hints = [ + "You are answering through a proxy backed by OpenCode.", + "Return only the assistant's reply content." + ]; + return [...systemMessages, ...hints].join("\n\n").trim(); +} +function buildPrompt(messages) { + const chatMessages = messages.filter( + (message) => message.role !== "system" && message.role !== "developer" + ); + if (chatMessages.length === 0) { + return "Say hello."; + } + if (chatMessages.length === 1 && chatMessages[0].role === "user") { + return chatMessages[0].content; + } + const transcript = chatMessages.map((message) => `${String(message.role).toUpperCase()}: +${message.content}`).join("\n\n"); + return [ + "Continue the conversation below and provide the next assistant reply.", + "Respond as the assistant to the latest user message.", + "Conversation:", + transcript + ].join("\n\n"); +} +function extractAssistantText(parts) { + return parts.filter((part) => part.type === "text" && typeof part.text === "string").map((part) => part.text).join("").trim(); +} +function dataUrlSize(url) { + if (typeof url !== "string" || !url.startsWith("data:")) return 0; + const comma = url.indexOf(","); + if (comma === -1) return Number.POSITIVE_INFINITY; + const metadata = url.slice(0, comma); + const payload = url.slice(comma + 1); + return metadata.endsWith(";base64") ? Math.ceil(payload.length * 0.75) : Buffer2.byteLength(decodeURIComponent(payload)); +} +function validateFilePart(part, model, maxBytes) { + if (!part?.mime || !part?.url) throw new ProxyError("Invalid file or image content part.", 400, "invalid_media"); + if (!part.url.startsWith("data:")) { + throw new ProxyError("Only embedded data URLs are supported for media.", 400, "invalid_media"); + } + if (dataUrlSize(part.url) > maxBytes) throw new ProxyError("Embedded media is too large.", 413, "request_too_large"); + const kind = part.mime === "application/pdf" ? "pdf" : part.mime.split("/", 1)[0]; + const input = model.capabilities?.input; + if (input && kind in input && !input[kind]) { + throw new ProxyError(`Model '${model.id}' does not support ${kind} input.`, 400, "unsupported_media"); + } +} +function promptParts(messages, media, model, maxBytes) { + const parts = [{ type: "text", text: buildPrompt(messages) }]; + for (const part of media ?? []) { + validateFilePart(part, model, maxBytes); + parts.push({ type: "file", mime: part.mime, url: part.url, ...part.filename ? { filename: part.filename } : {} }); + } + return parts; +} +function structuredFormat(request) { + const openAI = request.response_format?.json_schema?.schema ?? request.text?.format?.schema; + const gemini = request.generationConfig?.responseSchema; + const schema = openAI ?? gemini; + if (!schema) return void 0; + if (!isPlainObject(schema)) throw new ProxyError("Structured output schema must be a JSON object.", 400, "invalid_schema"); + return { type: "json_schema", schema }; +} +function validateUnsupportedControls(request) { + const unsupported = ["stop", "seed", "frequency_penalty", "presence_penalty", "logprobs", "n"].filter((name) => request[name] !== void 0); + if (unsupported.length > 0) { + throw new ProxyError(`Unsupported generation controls: ${unsupported.join(", ")}.`, 400, "unsupported_parameter"); + } +} +async function deleteSession(client, sessionID, keepSessions) { + if (keepSessions || !sessionID || typeof client.session.delete !== "function") return; + try { + await client.session.delete({ path: { id: sessionID } }); + } catch { + } +} +function setGenerationControls(sessionID, controls) { + if (!sessionID || !controls || Object.keys(controls).length === 0) return; + const state = getState(); + state.generationControls ??= /* @__PURE__ */ new Map(); + state.generationControls.set(sessionID, controls); +} +function clearGenerationControls(sessionID) { + getState().generationControls?.delete(sessionID); +} +async function executePrompt(client, _request, model, messages, system, callerTools = [], options = {}) { + if (Array.isArray(callerTools) && callerTools.length > 0) { + const result = await runAgentTurn(client, model, messages, system, callerTools, () => { + }, options); + return { + content: result.content, + toolCalls: result.toolCalls, + request: _request, + sessionID: result.sessionID, + completion: { + data: { + info: { + finish: result.finish, + tokens: result.tokens + } + } + } + }; + } + const tools = await getDisabledTools(client); + let sessionID; + try { + const session = await client.session.create({ body: { title: `Proxy: ${model.id}` }, signal: options.signal }); + sessionID = session.data.id; + setGenerationControls(sessionID, options.controls); + const completion = await client.session.prompt({ + path: { id: sessionID }, + signal: options.signal, + body: { + model: { providerID: model.providerID, modelID: model.modelID }, + system, + tools, + parts: promptParts(messages, options.media, model, options.maxRequestBytes ?? DEFAULTS.maxRequestBytes), + ...options.format ? { format: options.format } : {}, + ...options.variant ? { variant: options.variant } : {} + } + }); + const structured = completion.data.info?.structured; + const content = structured === void 0 ? extractAssistantText(completion.data.parts ?? []) : JSON.stringify(structured); + if (!content && completion.data.info?.error) throw new Error(completion.data.info.error.message ?? "Model call failed."); + return { content, structured, toolCalls: [], completion, request: _request, sessionID }; + } finally { + clearGenerationControls(sessionID); + await deleteSession(client, sessionID, options.keepSessions); + } +} +async function executePromptStreaming(client, model, messages, system, onChunk, callerTools = [], options = {}) { + const result = await runAgentTurn(client, model, messages, system, callerTools, onChunk, options); + return { + sessionID: result.sessionID, + tokens: result.tokens, + finish: result.finish, + toolCalls: result.toolCalls, + content: result.structured === void 0 ? result.content : JSON.stringify(result.structured), + structured: result.structured + }; +} +function createChatCompletionResponse(result, model) { + const now = Math.floor(Date.now() / 1e3); + const tokensIn = result.completion.data.info?.tokens?.input ?? 0; + const tokensOut = result.completion.data.info?.tokens?.output ?? 0; + const toolCalls = result.toolCalls ?? []; + const message = toolCalls.length > 0 ? { + role: "assistant", + content: null, + tool_calls: toolCalls.map((call) => ({ + id: call.id, + type: "function", + function: { + name: call.name, + arguments: JSON.stringify(call.arguments ?? {}) + } + })) + } : { + role: "assistant", + content: result.content + }; + return { + id: `chatcmpl_${crypto.randomUUID().replace(/-/g, "")}`, + object: "chat.completion", + created: now, + model: model.id, + choices: [ + { + index: 0, + finish_reason: toolCalls.length > 0 ? "tool_calls" : mapFinishReason(result.completion.data.info?.finish), + message + } + ], + usage: { + prompt_tokens: tokensIn, + completion_tokens: tokensOut, + total_tokens: tokensIn + tokensOut + } + }; +} +function createResponsesApiResponse(result, model) { + const tokensIn = result.completion.data.info?.tokens?.input ?? 0; + const tokensOut = result.completion.data.info?.tokens?.output ?? 0; + const toolCalls = result.toolCalls ?? []; + const output = toolCalls.length > 0 ? toolCalls.map((call) => ({ + id: `fc_${crypto.randomUUID().replace(/-/g, "")}`, + type: "function_call", + call_id: call.id, + name: call.name, + arguments: JSON.stringify(call.arguments ?? {}), + status: "completed" + })) : [ + { + id: `msg_${crypto.randomUUID().replace(/-/g, "")}`, + type: "message", + status: "completed", + role: "assistant", + content: [ + { + type: "output_text", + text: result.content, + annotations: [] + } + ] + } + ]; + return { + id: `resp_${crypto.randomUUID().replace(/-/g, "")}`, + object: "response", + created_at: Math.floor(Date.now() / 1e3), + status: "completed", + model: model.id, + output, + output_text: toolCalls.length > 0 ? "" : result.content, + parallel_tool_calls: true, + reasoning: { + effort: result.request.reasoning?.effort ?? null, + summary: null + }, + text: { + format: { + type: "text" + } + }, + usage: { + input_tokens: tokensIn, + output_tokens: tokensOut, + total_tokens: tokensIn + tokensOut, + input_tokens_details: { + cached_tokens: result.completion.data.info?.tokens?.cache?.read ?? 0 + }, + output_tokens_details: { + reasoning_tokens: result.completion.data.info?.tokens?.reasoning ?? 0 + } + } + }; +} +function mapFinishReason(finish) { + if (!finish) return "stop"; + if (finish.includes("length")) return "length"; + if (finish.includes("tool")) return "tool_calls"; + return "stop"; +} +async function safeLog(client, level, message, extra) { + try { + await client.app.log({ + body: { + service: "openai-proxy-plugin", + level, + message, + extra + } + }); + } catch { + } +} +async function getDisabledTools(client) { + const state = getState(); + if (state.toolOffSwitch) return state.toolOffSwitch; + const result = await client.tool.ids(); + const ids = Array.isArray(result.data) ? result.data : []; + state.toolOffSwitch = Object.fromEntries(ids.map((id) => [id, false])); + return state.toolOffSwitch; +} +function getToolBridgeState() { + const state = getState(); + if (!state.toolBridge) { + const configured = Number.parseInt(process.env.OPENCODE_LLM_PROXY_TOOL_BRIDGE_POOL_SIZE ?? "", 10); + const poolSize = Number.isFinite(configured) && configured > 0 ? configured : 8; + state.toolBridge = { + freeSlots: Array.from({ length: poolSize }, (_, i) => `px_tools_${i}`), + waiters: [], + // Maps slot name -> the bridge tool IDs currently assigned to that slot (from + // whichever turn most recently registered it). Needed because OpenCode has no + // endpoint to deregister an MCP server, so a slot reused for a later request + // stays connected under its old tool schema until it's next reused - see + // buildToolsMap() below for why this must be tracked and explicitly disabled + // per-turn, not just left out of the map. + // + // Keyed by slot (not an ever-growing set of every tool ID ever seen): each + // slot's entry is *replaced*, not accumulated, every time that slot is + // reused, so this stays bounded by the pool size regardless of how many + // requests/unique tool schemas a long-lived process handles over its + // lifetime. + slotToolIDs: /* @__PURE__ */ new Map() + }; + } + return state.toolBridge; +} +async function acquireBridgeSlot(options = {}) { + const bridgeState = getToolBridgeState(); + if (options.signal?.aborted) throw options.signal.reason ?? new ProxyError("Request was cancelled.", 499, "cancelled"); + if (bridgeState.freeSlots.length > 0) { + return bridgeState.freeSlots.shift(); + } + if (bridgeState.waiters.filter((waiter) => waiter.active).length >= (options.maxQueue ?? DEFAULTS.bridgeMaxQueue)) { + throw new ProxyError("Tool capacity is busy. Try again later.", 429, "tool_capacity_overloaded"); + } + return new Promise((resolve, reject) => { + const waiter = { active: true }; + const removeWaiter = () => { + bridgeState.waiters = bridgeState.waiters.filter((entry) => entry !== waiter); + }; + const timeout = setTimeout(() => { + if (!waiter.active) return; + waiter.active = false; + removeWaiter(); + options.signal?.removeEventListener("abort", onAbort); + reject(new ProxyError("Timed out waiting for tool capacity.", 503, "tool_capacity_timeout")); + }, options.timeoutMs ?? DEFAULTS.bridgeAcquireTimeoutMs); + timeout.unref?.(); + const onAbort = () => { + if (!waiter.active) return; + waiter.active = false; + clearTimeout(timeout); + removeWaiter(); + reject(options.signal.reason ?? new ProxyError("Request was cancelled.", 499, "cancelled")); + }; + waiter.resolve = (slot) => { + if (!waiter.active) return false; + waiter.active = false; + clearTimeout(timeout); + options.signal?.removeEventListener("abort", onAbort); + resolve(slot); + return true; + }; + bridgeState.waiters.push(waiter); + options.signal?.addEventListener("abort", onAbort, { once: true }); + }); +} +function releaseBridgeSlot(slotName) { + const bridgeState = getToolBridgeState(); + if (bridgeState.waiters.length > 0) { + while (bridgeState.waiters.length > 0) { + const waiter = bridgeState.waiters.shift(); + if (waiter.resolve(slotName)) return; + } + } + if (!bridgeState.freeSlots.includes(slotName)) bridgeState.freeSlots.push(slotName); +} +function sanitizeToolName(name, seen = /* @__PURE__ */ new Set()) { + let sanitized = String(name ?? "").replace(/[^a-zA-Z0-9_]/g, "_").slice(0, 60); + if (!sanitized) sanitized = "tool"; + if (!/^[a-zA-Z_]/.test(sanitized)) sanitized = `t_${sanitized}`; + let candidate = sanitized; + let suffix = 2; + while (seen.has(candidate)) { + candidate = `${sanitized}_${suffix}`; + suffix++; + } + seen.add(candidate); + return candidate; +} +function normalizeParameters(parameters) { + if (parameters && typeof parameters === "object") return parameters; + return { type: "object", properties: {} }; +} +function parseOpenAITools(body) { + const list = []; + if (Array.isArray(body?.tools)) { + for (const entry of body.tools) { + if (!entry || entry.type !== "function") continue; + const fn = entry.function ?? entry; + if (typeof fn.name === "string" && fn.name) { + list.push({ + name: fn.name, + description: typeof fn.description === "string" ? fn.description : "", + parameters: normalizeParameters(fn.parameters) + }); + } + } + } else if (Array.isArray(body?.functions)) { + for (const fn of body.functions) { + if (fn && typeof fn.name === "string" && fn.name) { + list.push({ + name: fn.name, + description: typeof fn.description === "string" ? fn.description : "", + parameters: normalizeParameters(fn.parameters) + }); + } + } + } + return list; +} +function applyOpenAIToolChoice(tools, toolChoice) { + if (toolChoice === "none") return []; + if (toolChoice && typeof toolChoice === "object") { + const name = toolChoice.function?.name ?? toolChoice.name; + if (toolChoice.type === "function" && name) { + return tools.filter((tool) => tool.name === name); + } + } + return tools; +} +function parseAnthropicTools(body) { + const list = []; + if (Array.isArray(body?.tools)) { + for (const tool of body.tools) { + if (tool && typeof tool.name === "string" && tool.name) { + list.push({ + name: tool.name, + description: typeof tool.description === "string" ? tool.description : "", + parameters: normalizeParameters(tool.input_schema) + }); + } + } + } + return list; +} +function applyAnthropicToolChoice(tools, toolChoice) { + if (toolChoice?.type === "none") return []; + if (toolChoice?.type === "tool" && toolChoice.name) { + return tools.filter((tool) => tool.name === toolChoice.name); + } + return tools; +} +function parseGeminiTools(body) { + const list = []; + if (Array.isArray(body?.tools)) { + for (const toolGroup of body.tools) { + const declarations = Array.isArray(toolGroup?.functionDeclarations) ? toolGroup.functionDeclarations : []; + for (const decl of declarations) { + if (decl && typeof decl.name === "string" && decl.name) { + list.push({ + name: decl.name, + description: typeof decl.description === "string" ? decl.description : "", + parameters: normalizeParameters(decl.parameters) + }); + } + } + } + } + return list; +} +function applyGeminiToolChoice(tools, toolConfig) { + const mode = toolConfig?.functionCallingConfig?.mode; + if (mode === "NONE") return []; + const allowed = toolConfig?.functionCallingConfig?.allowedFunctionNames; + if (Array.isArray(allowed) && allowed.length > 0) { + return tools.filter((tool) => allowed.includes(tool.name)); + } + return tools; +} +async function registerToolBridge(client, tools, options = {}) { + const slotName = await acquireBridgeSlot(options); + try { + const seen = /* @__PURE__ */ new Set(); + const nameMap = /* @__PURE__ */ new Map(); + const bridgeTools = tools.map((tool) => { + const sanitized = sanitizeToolName(tool.name, seen); + nameMap.set(`${slotName}_${sanitized}`, tool.name); + return { name: sanitized, description: tool.description, parameters: tool.parameters }; + }); + try { + await client.mcp.disconnect({ path: { name: slotName } }); + } catch { + } + await client.mcp.add({ + body: { + name: slotName, + config: { + type: "local", + command: ["node", BRIDGE_SCRIPT_PATH], + environment: { + OPENCODE_LLM_PROXY_BRIDGE_TOOLS: JSON.stringify(bridgeTools) + }, + timeout: 1e4 + } + } + }); + const toolIDs = bridgeTools.map((tool) => `${slotName}_${tool.name}`); + const bridgeState = getToolBridgeState(); + bridgeState.slotToolIDs.set(slotName, toolIDs); + return { slotName, toolIDs, nameMap }; + } catch (error) { + releaseBridgeSlot(slotName); + throw error; + } +} +function releaseToolBridge(bridge) { + if (bridge && !bridge.released) { + bridge.released = true; + releaseBridgeSlot(bridge.slotName); + } +} +function buildToolsMap(baseTools, bridge) { + const toolsMap = { ...baseTools }; + if (!bridge) return toolsMap; + const bridgeState = getToolBridgeState(); + for (const ids of bridgeState.slotToolIDs.values()) { + for (const id of ids) toolsMap[id] = false; + } + for (const id of bridge.toolIDs) toolsMap[id] = true; + return toolsMap; +} +async function runAgentTurn(client, model, messages, system, callerTools, onChunk, options = {}) { + const baseTools = await getDisabledTools(client); + let toolsMap = baseTools; + let bridge = null; + if (Array.isArray(callerTools) && callerTools.length > 0) { + bridge = await registerToolBridge(client, callerTools, { + signal: options.signal, + timeoutMs: options.bridgeAcquireTimeoutMs, + maxQueue: options.bridgeMaxQueue + }); + toolsMap = buildToolsMap(baseTools, bridge); + } + let sessionID; + let eventStream; + let removeAbortListener = () => { + }; + const toolIDSet = bridge ? new Set(bridge.toolIDs) : null; + let errorMessage = null; + let content = ""; + const toolCallsByID = /* @__PURE__ */ new Map(); + let toolMessageID = null; + const recordToolPart = (part) => { + const callID = part.callID; + if (!callID) return; + const input = part.state?.input; + const hasInput = input && typeof input === "object" && !Array.isArray(input) && Object.keys(input).length > 0; + const existing = toolCallsByID.get(callID); + if (!existing) { + toolCallsByID.set(callID, { + id: callID, + name: bridge.nameMap.get(part.tool) ?? part.tool, + arguments: hasInput ? input : {}, + hasInput: Boolean(hasInput) + }); + } else if (hasInput && !existing.hasInput) { + existing.arguments = input; + existing.hasInput = true; + } + }; + try { + const session = await client.session.create({ body: { title: `Proxy: ${model.id}` }, signal: options.signal }); + sessionID = session.data.id; + setGenerationControls(sessionID, options.controls); + const onAbort = () => client.session.abort?.({ path: { id: sessionID } }).catch(() => { + }); + removeAbortListener = () => options.signal?.removeEventListener("abort", onAbort); + options.signal?.addEventListener("abort", onAbort, { once: true }); + const { stream } = await client.event.subscribe({ signal: options.signal }); + eventStream = stream; + await client.session.promptAsync({ + path: { id: sessionID }, + signal: options.signal, + body: { + model: { providerID: model.providerID, modelID: model.modelID }, + system, + tools: toolsMap, + parts: promptParts(messages, options.media, model, options.maxRequestBytes ?? DEFAULTS.maxRequestBytes), + ...options.format ? { format: options.format } : {}, + ...options.variant ? { variant: options.variant } : {} + } + }); + for await (const event of stream) { + if (event.type === "message.part.delta") { + const props = event.properties; + if (props?.sessionID === sessionID && props?.field === "text" && typeof props.delta === "string" && props.delta.length > 0) { + content += props.delta; + await onChunk?.(props.delta); + } + } else if (event.type === "message.part.updated") { + const part = event.properties?.part; + if (!part || part.sessionID !== sessionID) continue; + if (toolIDSet && part.type === "tool" && toolIDSet.has(part.tool) && (!toolMessageID || part.messageID === toolMessageID)) { + if (part.messageID) toolMessageID = part.messageID; + recordToolPart(part); + } else if (part.type === "step-finish" && toolCallsByID.size > 0 && (!toolMessageID || part.messageID === toolMessageID)) { + try { + await client.session.abort({ path: { id: sessionID } }); + } catch { + } + break; + } + } else if (event.type === "session.error") { + if (event.properties?.sessionID === sessionID) { + errorMessage = event.properties?.error?.message ?? "Model call failed."; + } + break; + } else if (event.type === "session.idle") { + if (event.properties?.sessionID === sessionID) { + break; + } + } + } + } catch (error) { + await deleteSession(client, sessionID, options.keepSessions); + throw error; + } finally { + removeAbortListener(); + try { + await eventStream?.return?.(); + } catch { + } + clearGenerationControls(sessionID); + releaseToolBridge(bridge); + } + const toolCalls = [...toolCallsByID.values()].map((call) => ({ + id: call.id, + name: call.name, + arguments: call.arguments ?? {} + })); + if (errorMessage && toolCalls.length === 0) { + await deleteSession(client, sessionID, options.keepSessions); + throw new Error(errorMessage); + } + let assistantEntry; + try { + const messagesResult = await client.session.messages({ path: { id: sessionID }, signal: options.signal }); + assistantEntry = (messagesResult.data ?? []).filter((m) => m.info?.role === "assistant").at(-1); + } catch (error) { + await deleteSession(client, sessionID, options.keepSessions); + throw error; + } + const assistantInfo = assistantEntry?.info; + if (!content && toolCalls.length === 0) { + content = extractAssistantText(assistantEntry?.parts ?? []); + } + if (!content && assistantInfo?.structured !== void 0) content = JSON.stringify(assistantInfo.structured); + const result = { + sessionID, + content, + toolCalls, + tokens: assistantInfo?.tokens ?? { input: 0, output: 0, reasoning: 0, cache: { read: 0, write: 0 } }, + finish: toolCalls.length > 0 ? "tool_calls" : assistantInfo?.finish, + structured: assistantInfo?.structured + }; + await deleteSession(client, sessionID, options.keepSessions); + return result; +} +async function listModels(client) { + const result = await client.config.providers(); + const payload = result.data; + const all = Array.isArray(payload?.providers) ? payload.providers : []; + return all.flatMap((provider) => { + const models = provider.models ?? {}; + return Object.values(models).map((model) => ({ + id: `${provider.id}/${model.id}`, + providerID: provider.id, + modelID: model.id, + name: model.name ?? model.id, + capabilities: model.capabilities, + limit: model.limit, + cost: model.cost, + status: model.status, + variants: model.variants + })); + }); +} +async function resolveModel(client, requestedModel, providerOverride) { + const allModels = await listModels(client); + if (providerOverride && requestedModel.includes("/")) { + const [providerID] = requestedModel.split("/"); + if (providerID !== providerOverride) { + throw new Error(`Model '${requestedModel}' does not match provider override '${providerOverride}'.`); + } + } + if (providerOverride) { + const match = allModels.find( + (model) => model.providerID === providerOverride && model.modelID === requestedModel + ); + if (match) return match; + } + if (requestedModel.includes("/")) { + const [providerID, ...rest] = requestedModel.split("/"); + const modelID = rest.join("/"); + const fullMatch = allModels.find( + (model) => model.providerID === providerID && model.modelID === modelID + ); + if (fullMatch) return fullMatch; + } + const bareMatches = allModels.filter((model) => model.modelID === requestedModel); + if (providerOverride) { + const providerMatch = bareMatches.find((model) => model.providerID === providerOverride); + if (providerMatch) return providerMatch; + } + if (bareMatches.length === 1) return bareMatches[0]; + if (bareMatches.length > 1) { + throw new Error( + `Model '${requestedModel}' is ambiguous. Use provider/model, for example '${bareMatches[0].id}'.` + ); + } + throw new Error(`Unknown model '${requestedModel}'. Call GET /v1/models to inspect available IDs.`); +} +async function resolveModelCandidates(client, requestedModel, providerOverride, aliases = {}) { + const configured = aliases[requestedModel]; + const targets = typeof configured === "string" ? [configured] : configured; + if (configured !== void 0 && (!Array.isArray(targets) || targets.length === 0 || targets.some((target) => typeof target !== "string"))) { + throw new ProxyError(`Model alias '${requestedModel}' is invalid.`, 500, "invalid_config"); + } + const ids = targets ?? [requestedModel]; + const models = []; + for (const id of ids) models.push(await resolveModel(client, id, providerOverride)); + return models; +} +function isRetryableError(error) { + if (error instanceof ProxyError && error.status < 500) return false; + return !error?.message?.toLowerCase().includes("invalid"); +} +function upstreamOutcome(error) { + if (error?.code === "timeout" || error?.status === 504) return "timeout"; + if (error?.code === "cancelled" || error?.status === 499) return "cancelled"; + return "error"; +} +function recordExecutionMetrics(result) { + const tokens = result?.tokens ?? result?.completion?.data?.info?.tokens; + getMetrics().recordUpstreamAttempt("success"); + if (tokens) getMetrics().recordTokens(tokens); +} +async function executeWithFallback(candidates, operation) { + let lastError; + for (const candidate of candidates) { + try { + const result = await operation(candidate); + recordExecutionMetrics(result); + return { result, model: candidate }; + } catch (error) { + getMetrics().recordUpstreamAttempt(upstreamOutcome(error)); + lastError = error; + if (!isRetryableError(error)) throw error; + } + } + throw lastError; +} +async function executeStreamingWithFallback(candidates, operation, hasOutput) { + let lastError; + for (const candidate of candidates) { + try { + const result = await operation(candidate); + recordExecutionMetrics(result); + return { result, model: candidate }; + } catch (error) { + getMetrics().recordUpstreamAttempt(upstreamOutcome(error)); + lastError = error; + if (hasOutput() || !isRetryableError(error)) throw error; + } + } + throw lastError; +} +function createSseQueue() { + const chunks = []; + let resolve = null; + let done = false; + function enqueue(value) { + chunks.push(value); + if (resolve) { + const r = resolve; + resolve = null; + r(); + } + } + function finish() { + done = true; + if (resolve) { + const r = resolve; + resolve = null; + r(); + } + } + async function* generateChunks() { + while (true) { + while (chunks.length > 0) { + yield chunks.shift(); + } + if (done) break; + await new Promise((r) => { + resolve = r; + }); + } + while (chunks.length > 0) { + yield chunks.shift(); + } + } + return { enqueue, finish, generateChunks }; +} +function streamResponse(headers, generator, options = {}) { + const encoder = new TextEncoder(); + const body = new ReadableStream({ + async start(controller) { + try { + for await (const chunk of generator) { + controller.enqueue(encoder.encode(chunk)); + } + } catch { + } finally { + controller.close(); + options.onDone?.(); + } + }, + cancel(reason) { + options.onCancel?.(reason); + options.onDone?.(); + } + }); + return new Response(body, { + status: 200, + headers: { + "content-type": "text/event-stream; charset=utf-8", + "cache-control": "no-store", + connection: "keep-alive", + ...headers + } + }); +} +function sseResponse(headers, generator, options) { + return streamResponse(headers, generator, options); +} +function once(callback) { + let called = false; + return () => { + if (called) return; + called = true; + callback?.(); + }; +} +function createModelResponse(models) { + return { + object: "list", + data: models.map((model) => ({ + id: model.id, + object: "model", + created: 0, + owned_by: model.providerID, + root: model.id, + x_opencode: { + name: model.name, + status: model.status, + capabilities: model.capabilities, + limits: model.limit, + variants: model.variants, + cost: model.cost + } + })) + }; +} +function normalizeAnthropicMessages(messages) { + const toolNameByUseId = /* @__PURE__ */ new Map(); + return messages.map((message) => { + let content = ""; + if (typeof message.content === "string") { + content = message.content.trim(); + } else if (Array.isArray(message.content)) { + content = message.content.map((block) => { + if (!block) return ""; + if (block.type === "text" && typeof block.text === "string") { + return block.text.trim(); + } + if (block.type === "tool_use") { + if (block.id) toolNameByUseId.set(block.id, block.name); + return `[Called tool ${block.name} with arguments ${JSON.stringify(block.input ?? {})}]`; + } + if (block.type === "tool_result") { + const name = toolNameByUseId.get(block.tool_use_id) ?? "tool"; + let resultText = ""; + if (typeof block.content === "string") { + resultText = block.content; + } else if (Array.isArray(block.content)) { + resultText = block.content.filter((inner) => inner && inner.type === "text" && typeof inner.text === "string").map((inner) => inner.text).join("\n\n"); + } + return `[Result from tool ${name}]: ${resultText}`; + } + return ""; + }).filter(Boolean).join("\n\n"); + } + return { role: message.role, content }; + }).filter((message) => message.content.length > 0); +} +function normalizeAnthropicSystem(system) { + if (typeof system === "string") { + const trimmed = system.trim(); + return trimmed || null; + } + if (Array.isArray(system)) { + const text2 = system.filter((block) => block && block.type === "text" && typeof block.text === "string").map((block) => block.text.trim()).filter(Boolean).join("\n\n"); + return text2 || null; + } + return null; +} +function mapFinishReasonToAnthropic(finish) { + if (!finish) return "end_turn"; + if (finish.includes("length")) return "max_tokens"; + if (finish.includes("tool")) return "tool_use"; + return "end_turn"; +} +function createAnthropicResponse(result, model) { + const tokensIn = result.completion.data.info?.tokens?.input ?? 0; + const tokensOut = result.completion.data.info?.tokens?.output ?? 0; + const toolCalls = result.toolCalls ?? []; + const content = toolCalls.length > 0 ? toolCalls.map((call) => ({ + type: "tool_use", + id: call.id, + name: call.name, + input: call.arguments ?? {} + })) : [{ type: "text", text: result.content }]; + return { + id: `msg_${crypto.randomUUID().replace(/-/g, "")}`, + type: "message", + role: "assistant", + content, + model: model.id, + stop_reason: toolCalls.length > 0 ? "tool_use" : mapFinishReasonToAnthropic(result.completion.data.info?.finish), + stop_sequence: null, + usage: { input_tokens: tokensIn, output_tokens: tokensOut } + }; +} +function anthropicBadRequest(message, status = 400, request) { + return json( + { type: "error", error: { type: "invalid_request_error", message } }, + status, + {}, + request + ); +} +function anthropicInternalError(message, status = 500, request) { + return json( + { type: "error", error: { type: "api_error", message } }, + status, + {}, + request + ); +} +function normalizeGeminiContents(contents) { + if (!Array.isArray(contents)) return []; + return contents.map((item) => { + const role = item.role === "model" ? "assistant" : item.role ?? "user"; + const content = Array.isArray(item.parts) ? item.parts.map((part) => { + if (!part) return ""; + if (typeof part.text === "string") return part.text.trim(); + if (part.functionCall) { + return `[Called tool ${part.functionCall.name} with arguments ${JSON.stringify(part.functionCall.args ?? {})}]`; + } + if (part.functionResponse) { + return `[Result from tool ${part.functionResponse.name}]: ${JSON.stringify(part.functionResponse.response ?? {})}`; + } + return ""; + }).filter(Boolean).join("\n\n") : ""; + return { role, content }; + }).filter((m) => m.content.length > 0); +} +function generationControls(body) { + const source = body.generationConfig ?? body; + const controls = {}; + if (source.temperature !== void 0) { + if (typeof source.temperature !== "number" || source.temperature < 0 || source.temperature > 2) { + throw new ProxyError("'temperature' must be a number between 0 and 2.", 400, "invalid_parameter"); + } + controls.temperature = source.temperature; + } + const topP = source.top_p ?? source.topP; + if (topP !== void 0) { + if (typeof topP !== "number" || topP < 0 || topP > 1) throw new ProxyError("'top_p' must be between 0 and 1.", 400, "invalid_parameter"); + controls.topP = topP; + } + const topK = source.topK; + if (topK !== void 0) { + if (!Number.isInteger(topK) || topK < 1) throw new ProxyError("'topK' must be a positive integer.", 400, "invalid_parameter"); + controls.topK = topK; + } + return controls; +} +function extractGeminiSystemInstruction(systemInstruction) { + if (!systemInstruction) return null; + if (typeof systemInstruction === "string") return systemInstruction.trim(); + if (Array.isArray(systemInstruction.parts)) { + return systemInstruction.parts.map((part) => typeof part?.text === "string" ? part.text.trim() : "").filter(Boolean).join("\n\n"); + } + return null; +} +function mapFinishReasonToGemini(finish) { + if (!finish) return "STOP"; + if (finish.includes("length")) return "MAX_TOKENS"; + if (finish.includes("tool")) return "STOP"; + return "STOP"; +} +function createGeminiResponse(content, finish, tokens, toolCalls) { + const calls = toolCalls ?? []; + const parts = calls.length > 0 ? calls.map((call) => ({ functionCall: { name: call.name, args: call.arguments ?? {} } })) : [{ text: content }]; + return { + candidates: [ + { + content: { role: "model", parts }, + finishReason: mapFinishReasonToGemini(finish), + index: 0 + } + ], + usageMetadata: { + promptTokenCount: tokens?.input ?? 0, + candidatesTokenCount: tokens?.output ?? 0, + totalTokenCount: (tokens?.input ?? 0) + (tokens?.output ?? 0) + } + }; +} +function geminiModelFromPath(pathname) { + const match = pathname.match(/^\/v1beta\/models\/(.+):(?:generateContent|streamGenerateContent)$/); + return match ? decodeURIComponent(match[1]) : null; +} +function createProxyFetchHandler(client) { + const config = loadConfig(); + const handleRequest = async (request) => { + const url = new URL(request.url); + const origin = request.headers.get("origin"); + if (request.method === "OPTIONS") { + const method = request.headers.get("access-control-request-method"); + const requestedHeaders = (request.headers.get("access-control-request-headers") ?? "").split(",").map((value) => value.trim().toLowerCase()).filter(Boolean); + const allowedHeaders = /* @__PURE__ */ new Set(["authorization", "content-type", "x-opencode-provider", "x-opencode-variant", "x-request-id"]); + const allowedOrigin = origin && (config.corsOrigins.includes("*") || config.corsOrigins.includes(origin)); + if (!allowedOrigin || method && !["GET", "POST", "OPTIONS"].includes(method) || requestedHeaders.some((value) => !allowedHeaders.has(value))) { + return text("CORS preflight rejected", 403, request, config); + } + return new Response(null, { status: 204, headers: commonHeaders(request, config) }); + } + if (origin && !config.corsOrigins.includes("*") && !config.corsOrigins.includes(origin)) { + return text("Origin not allowed", 403, request, config); + } + if (!isAuthorized(request, config)) { + return unauthorized(request); + } + const started = Date.now(); + const context = createRequestSignal(request, config.requestTimeoutMs); + let releaseSlot = () => { + }; + let deferredCleanup = false; + if (request.method === "POST") { + try { + releaseSlot = await acquireRequestSlot(config, context.signal); + } catch (error) { + context.finish(); + const status = error instanceof ProxyError ? error.status : 503; + return badRequest(status === 503 ? "The proxy is busy. Try again later." : "Request was cancelled.", status, request); + } + } + const options = { + signal: context.signal, + maxRequestBytes: config.maxRequestBytes, + bridgeAcquireTimeoutMs: config.bridgeAcquireTimeoutMs, + bridgeMaxQueue: config.bridgeMaxQueue, + keepSessions: config.keepSessions + }; + const streamCleanup = once(() => { + releaseSlot(); + context.finish(); + safeLog(client, "info", "Proxy stream completed", { + method: request.method, + path: url.pathname, + durationMs: Date.now() - started + }); + }); + try { + if (request.method === "GET" && url.pathname === "/health") { + return json({ healthy: true, service: "opencode-openai-proxy" }, 200, {}, request); + } + if (request.method === "GET" && url.pathname === "/metrics" && config.metricsEnabled) { + return new Response(getMetrics().metrics(), { + status: 200, + headers: { + ...commonHeaders(request, config), + "content-type": "text/plain; version=0.0.4; charset=utf-8" + } + }); + } + if (request.method === "GET" && url.pathname === "/v1/models") { + try { + const models = await listModels(client); + return json(createModelResponse(models), 200, {}, request); + } catch (error) { + await safeLog(client, "error", "Failed to list proxy models", { + error: error instanceof Error ? error.message : String(error) + }); + return internalError("Failed to load models from OpenCode.", 500, request); + } + } + if (request.method === "POST" && url.pathname === "/v1/chat/completions") { + let body; + try { + body = await readJsonBody(request, config.maxRequestBytes, context.signal); + } catch (error) { + return badRequest(error.message, error.status ?? 400, request); + } + if (!body.model) { + return badRequest("The 'model' field is required.", 400, request); + } + if (!Array.isArray(body.messages) || body.messages.length === 0) { + return badRequest("The 'messages' field must contain at least one message.", 400, request); + } + const callerTools = applyOpenAIToolChoice(parseOpenAITools(body), body.tool_choice); + let format; + let controls; + try { + validateUnsupportedControls(body); + format = structuredFormat(body); + if (format && callerTools.length > 0) throw new ProxyError("Structured output cannot be combined with tools.", 400, "invalid_request"); + controls = generationControls(body); + } catch (error) { + return badRequest(error.message, error.status ?? 400, request); + } + let candidates; + try { + const providerOverride = request.headers.get("x-opencode-provider"); + candidates = await resolveModelCandidates(client, body.model, providerOverride, config.aliases); + } catch (error) { + const message = error instanceof Error ? error.message : String(error); + await safeLog(client, "error", "Proxy completion failed", { + error: message, + requestedModel: body.model + }); + return badRequest(error instanceof ProxyError ? message : "The requested model is unavailable.", error.status ?? 400, request); + } + let prepared; + try { + prepared = await prepareCanonicalRequest(adaptOpenAIChat(body), config, context.signal, candidates); + } catch (error) { + return badRequest(error.message, error.status ?? 400, request, error.code); + } + const { messages, system, media } = prepared; + if (!messages[0].content.trim() && media.length === 0) { + return badRequest("No text content was found in the supplied messages.", 400, request); + } + const requestOptions = { ...options, media, format, controls, variant: request.headers.get("x-opencode-variant") ?? void 0 }; + let model = candidates[0]; + if (body.stream) { + const completionID = `chatcmpl_${crypto.randomUUID().replace(/-/g, "")}`; + const now = Math.floor(Date.now() / 1e3); + const queue = createSseQueue(); + let emitted = false; + async function* generateSse() { + const runPromise = executeStreamingWithFallback(candidates, (candidate) => executePromptStreaming( + client, + candidate, + messages, + system, + (delta) => { + emitted = true; + const chunk = JSON.stringify({ + id: completionID, + object: "chat.completion.chunk", + created: now, + model: model.id, + choices: [{ index: 0, delta: { role: "assistant", content: delta }, finish_reason: null }] + }); + queue.enqueue(`data: ${chunk} + +`); + }, + callerTools, + requestOptions + ), () => emitted).then(({ result: streamResult, model: selectedModel }) => { + model = selectedModel; + if (!emitted && streamResult.content && !(streamResult.toolCalls?.length > 0)) { + emitted = true; + const chunk = JSON.stringify({ id: completionID, object: "chat.completion.chunk", created: now, model: model.id, choices: [{ index: 0, delta: { role: "assistant", content: streamResult.content }, finish_reason: null }] }); + queue.enqueue(`data: ${chunk} + +`); + } + const toolCalls = streamResult.toolCalls ?? []; + if (toolCalls.length > 0) { + const toolCallChunk = JSON.stringify({ + id: completionID, + object: "chat.completion.chunk", + created: now, + model: model.id, + choices: [ + { + index: 0, + delta: { + role: "assistant", + tool_calls: toolCalls.map((call, index) => ({ + index, + id: call.id, + type: "function", + function: { + name: call.name, + arguments: JSON.stringify(call.arguments ?? {}) + } + })) + }, + finish_reason: null + } + ] + }); + queue.enqueue(`data: ${toolCallChunk} + +`); + } + const finalChunk = JSON.stringify({ + id: completionID, + object: "chat.completion.chunk", + created: now, + model: model.id, + choices: [ + { + index: 0, + delta: {}, + finish_reason: toolCalls.length > 0 ? "tool_calls" : mapFinishReason(streamResult.finish) + } + ], + usage: { + prompt_tokens: streamResult.tokens.input, + completion_tokens: streamResult.tokens.output, + total_tokens: streamResult.tokens.input + streamResult.tokens.output + } + }); + queue.enqueue(`data: ${finalChunk} + +data: [DONE] + +`); + }).catch(async (err) => { + const streamError = err instanceof Error ? err.message : String(err); + await safeLog(client, "error", "Proxy streaming completion failed", { + error: streamError, + requestedModel: body.model + }); + const errChunk = JSON.stringify({ + error: { message: "Upstream request failed.", type: "server_error" } + }); + queue.enqueue(`data: ${errChunk} + +data: [DONE] + +`); + }).finally(() => { + queue.finish(); + }); + yield* queue.generateChunks(); + await runPromise; + } + deferredCleanup = true; + return sseResponse(commonHeaders(request, config), generateSse(), { + onCancel: (reason) => context.abort(reason), + onDone: streamCleanup + }); + } + try { + const executed = await executeWithFallback(candidates, (candidate) => executePrompt(client, body, candidate, messages, system, callerTools, requestOptions)); + model = executed.model; + return json(createChatCompletionResponse(executed.result, model), 200, {}, request); + } catch (error) { + const message = error instanceof Error ? error.message : String(error); + await safeLog(client, "error", "Proxy completion failed", { + error: message, + requestedModel: body.model + }); + return badRequest(error instanceof ProxyError ? message : "Upstream request failed.", error.status ?? 502, request); + } + } + if (request.method === "POST" && url.pathname === "/v1/responses") { + let body; + try { + body = await readJsonBody(request, config.maxRequestBytes, context.signal); + } catch (error) { + return badRequest(error.message, error.status ?? 400, request); + } + if (!body.model) { + return badRequest("The 'model' field is required.", 400, request); + } + const callerTools = applyOpenAIToolChoice(parseOpenAITools(body), body.tool_choice); + let format; + let controls; + try { + validateUnsupportedControls(body); + format = structuredFormat(body); + if (format && callerTools.length > 0) throw new ProxyError("Structured output cannot be combined with tools.", 400, "invalid_request"); + controls = generationControls(body); + } catch (error) { + return badRequest(error.message, error.status ?? 400, request); + } + let candidates; + try { + const providerOverride = request.headers.get("x-opencode-provider"); + candidates = await resolveModelCandidates(client, body.model, providerOverride, config.aliases); + } catch (error) { + const message = error instanceof Error ? error.message : String(error); + await safeLog(client, "error", "Proxy responses call failed", { + error: message, + requestedModel: body.model + }); + return badRequest(error instanceof ProxyError ? message : "The requested model is unavailable.", error.status ?? 400, request); + } + let prepared; + try { + prepared = await prepareCanonicalRequest(adaptOpenAIResponses(body), config, context.signal, candidates); + } catch (error) { + return badRequest(error.message, error.status ?? 400, request, error.code); + } + const { messages, system, media } = prepared; + if (!messages[0].content.trim() && media.length === 0) { + return badRequest("The 'input' field must contain at least one text message.", 400, request); + } + const requestOptions = { ...options, media, format, controls, variant: request.headers.get("x-opencode-variant") ?? body.reasoning?.effort ?? void 0 }; + let model = candidates[0]; + if (body.stream) { + let sseEvent = function(eventType, data) { + return `event: ${eventType} +data: ${JSON.stringify(data)} + +`; + }; + const responseID = `resp_${crypto.randomUUID().replace(/-/g, "")}`; + const itemID = `msg_${crypto.randomUUID().replace(/-/g, "")}`; + const now = Math.floor(Date.now() / 1e3); + const queue = createSseQueue(); + let emitted = false; + async function* generateSse() { + queue.enqueue( + sseEvent("response.created", { + type: "response.created", + response: { + id: responseID, + object: "response", + created_at: now, + status: "in_progress", + model: model.id, + output: [] + } + }) + ); + let partIndex = 0; + let accumulatedText = ""; + const runPromise = executeStreamingWithFallback(candidates, (candidate) => executePromptStreaming( + client, + candidate, + messages, + system, + (delta) => { + emitted = true; + if (partIndex === 0) { + queue.enqueue( + sseEvent("response.output_item.added", { + type: "response.output_item.added", + output_index: 0, + item: { id: itemID, type: "message", status: "in_progress", role: "assistant", content: [] } + }) + ); + queue.enqueue( + sseEvent("response.content_part.added", { + type: "response.content_part.added", + item_id: itemID, + output_index: 0, + content_index: 0, + part: { type: "output_text", text: "", annotations: [] } + }) + ); + partIndex++; + } + accumulatedText += delta; + queue.enqueue( + sseEvent("response.output_text.delta", { + type: "response.output_text.delta", + item_id: itemID, + output_index: 0, + content_index: 0, + delta + }) + ); + }, + callerTools, + requestOptions + ), () => emitted).then(({ result: streamResult, model: selectedModel }) => { + model = selectedModel; + if (!emitted && streamResult.content && !(streamResult.toolCalls?.length > 0)) { + accumulatedText = streamResult.content; + emitted = true; + queue.enqueue(sseEvent("response.output_item.added", { type: "response.output_item.added", output_index: 0, item: { id: itemID, type: "message", status: "in_progress", role: "assistant", content: [] } })); + queue.enqueue(sseEvent("response.content_part.added", { type: "response.content_part.added", item_id: itemID, output_index: 0, content_index: 0, part: { type: "output_text", text: "", annotations: [] } })); + queue.enqueue(sseEvent("response.output_text.delta", { type: "response.output_text.delta", item_id: itemID, output_index: 0, content_index: 0, delta: accumulatedText })); + partIndex = 1; + } + const toolCalls = streamResult.toolCalls ?? []; + if (toolCalls.length > 0) { + toolCalls.forEach((call, index) => { + const args = JSON.stringify(call.arguments ?? {}); + const callItemID = `fc_${crypto.randomUUID().replace(/-/g, "")}`; + const outputIndex = index; + queue.enqueue( + sseEvent("response.output_item.added", { + type: "response.output_item.added", + output_index: outputIndex, + item: { + id: callItemID, + type: "function_call", + status: "in_progress", + call_id: call.id, + name: call.name, + arguments: "" + } + }) + ); + queue.enqueue( + sseEvent("response.function_call_arguments.delta", { + type: "response.function_call_arguments.delta", + item_id: callItemID, + output_index: outputIndex, + delta: args + }) + ); + queue.enqueue( + sseEvent("response.function_call_arguments.done", { + type: "response.function_call_arguments.done", + item_id: callItemID, + output_index: outputIndex, + arguments: args + }) + ); + queue.enqueue( + sseEvent("response.output_item.done", { + type: "response.output_item.done", + output_index: outputIndex, + item: { + id: callItemID, + type: "function_call", + status: "completed", + call_id: call.id, + name: call.name, + arguments: args + } + }) + ); + }); + queue.enqueue( + sseEvent("response.completed", { + type: "response.completed", + response: { + id: responseID, + object: "response", + created_at: now, + status: "completed", + model: model.id, + usage: { + input_tokens: streamResult.tokens.input, + output_tokens: streamResult.tokens.output, + total_tokens: streamResult.tokens.input + streamResult.tokens.output + } + } + }) + ); + return; + } + queue.enqueue( + sseEvent("response.output_text.done", { + type: "response.output_text.done", + item_id: itemID, + output_index: 0, + content_index: 0, + text: accumulatedText + }) + ); + if (partIndex > 0) { + queue.enqueue( + sseEvent("response.content_part.done", { + type: "response.content_part.done", + item_id: itemID, + output_index: 0, + content_index: 0, + part: { type: "output_text", text: accumulatedText, annotations: [] } + }) + ); + } + queue.enqueue( + sseEvent("response.output_item.done", { + type: "response.output_item.done", + output_index: 0, + item: { id: itemID, type: "message", status: "completed", role: "assistant" } + }) + ); + queue.enqueue( + sseEvent("response.completed", { + type: "response.completed", + response: { + id: responseID, + object: "response", + created_at: now, + status: "completed", + model: model.id, + usage: { + input_tokens: streamResult.tokens.input, + output_tokens: streamResult.tokens.output, + total_tokens: streamResult.tokens.input + streamResult.tokens.output + } + } + }) + ); + }).catch(async (err) => { + const errMsg = err instanceof Error ? err.message : String(err); + await safeLog(client, "error", "Proxy streaming responses call failed", { + error: errMsg, + requestedModel: body.model + }); + queue.enqueue( + sseEvent("response.failed", { + type: "response.failed", + response: { + id: responseID, + object: "response", + created_at: now, + status: "failed", + error: { message: "Upstream request failed.", code: "server_error" } + } + }) + ); + }).finally(() => { + queue.finish(); + }); + yield* queue.generateChunks(); + await runPromise; + } + deferredCleanup = true; + return sseResponse(commonHeaders(request, config), generateSse(), { + onCancel: (reason) => context.abort(reason), + onDone: streamCleanup + }); + } + try { + const executed = await executeWithFallback(candidates, (candidate) => executePrompt(client, body, candidate, messages, system, callerTools, requestOptions)); + model = executed.model; + return json(createResponsesApiResponse(executed.result, model), 200, {}, request); + } catch (error) { + const message = error instanceof Error ? error.message : String(error); + await safeLog(client, "error", "Proxy responses call failed", { + error: message, + requestedModel: body.model + }); + return badRequest(error instanceof ProxyError ? message : "Upstream request failed.", error.status ?? 502, request); + } + } + if (request.method === "POST" && url.pathname === "/v1/messages") { + let body; + try { + body = await readJsonBody(request, config.maxRequestBytes, context.signal); + } catch (error) { + return anthropicBadRequest(error.message, error.status ?? 400, request); + } + if (!body.model) { + return anthropicBadRequest("The 'model' field is required.", 400, request); + } + if (!Array.isArray(body.messages) || body.messages.length === 0) { + return anthropicBadRequest("The 'messages' field must contain at least one message.", 400, request); + } + const callerTools = applyAnthropicToolChoice(parseAnthropicTools(body), body.tool_choice); + let controls; + try { + validateUnsupportedControls(body); + controls = generationControls(body); + } catch (error) { + return anthropicBadRequest(error.message, error.status ?? 400, request); + } + let candidates; + try { + const providerOverride = request.headers.get("x-opencode-provider"); + candidates = await resolveModelCandidates(client, body.model, providerOverride, config.aliases); + } catch (error) { + const message = error instanceof Error ? error.message : String(error); + await safeLog(client, "error", "Anthropic proxy call failed (model resolve)", { error: message, requestedModel: body.model }); + return anthropicBadRequest(error instanceof ProxyError ? message : "The requested model is unavailable.", error.status ?? 400, request); + } + let prepared; + try { + prepared = await prepareCanonicalRequest(adaptAnthropic(body), config, context.signal, candidates); + } catch (error) { + return anthropicBadRequest(error.message, error.status ?? 400, request); + } + const { messages, system, media } = prepared; + if (!messages[0].content.trim() && media.length === 0) { + return anthropicBadRequest("No text content was found in the supplied messages.", 400, request); + } + const requestOptions = { ...options, media, controls, variant: request.headers.get("x-opencode-variant") ?? void 0 }; + let model = candidates[0]; + if (body.stream) { + let sseEvent = function(eventType, data) { + return `event: ${eventType} +data: ${JSON.stringify(data)} + +`; + }; + const msgID = `msg_${crypto.randomUUID().replace(/-/g, "")}`; + const queue = createSseQueue(); + let emitted = false; + async function* generateSse() { + queue.enqueue(sseEvent("message_start", { + type: "message_start", + message: { + id: msgID, + type: "message", + role: "assistant", + content: [], + model: model.id, + stop_reason: null, + stop_sequence: null, + usage: { input_tokens: 0, output_tokens: 0 } + } + })); + let textBlockStarted = false; + const runPromise = executeStreamingWithFallback(candidates, (candidate) => executePromptStreaming( + client, + candidate, + messages, + system, + (delta) => { + emitted = true; + if (!textBlockStarted) { + queue.enqueue(sseEvent("content_block_start", { + type: "content_block_start", + index: 0, + content_block: { type: "text", text: "" } + })); + textBlockStarted = true; + } + queue.enqueue(sseEvent("content_block_delta", { + type: "content_block_delta", + index: 0, + delta: { type: "text_delta", text: delta } + })); + }, + callerTools, + requestOptions + ), () => emitted).then(({ result: streamResult, model: selectedModel }) => { + model = selectedModel; + if (!emitted && streamResult.content && !(streamResult.toolCalls?.length > 0)) { + emitted = true; + textBlockStarted = true; + queue.enqueue(sseEvent("content_block_start", { type: "content_block_start", index: 0, content_block: { type: "text", text: "" } })); + queue.enqueue(sseEvent("content_block_delta", { type: "content_block_delta", index: 0, delta: { type: "text_delta", text: streamResult.content } })); + } + const toolCalls = streamResult.toolCalls ?? []; + if (toolCalls.length > 0) { + if (textBlockStarted) { + queue.enqueue(sseEvent("content_block_stop", { type: "content_block_stop", index: 0 })); + } + const baseIndex = textBlockStarted ? 1 : 0; + toolCalls.forEach((call, i) => { + const blockIndex = baseIndex + i; + const argsJson = JSON.stringify(call.arguments ?? {}); + queue.enqueue(sseEvent("content_block_start", { + type: "content_block_start", + index: blockIndex, + content_block: { type: "tool_use", id: call.id, name: call.name, input: {} } + })); + queue.enqueue(sseEvent("content_block_delta", { + type: "content_block_delta", + index: blockIndex, + delta: { type: "input_json_delta", partial_json: argsJson } + })); + queue.enqueue(sseEvent("content_block_stop", { type: "content_block_stop", index: blockIndex })); + }); + queue.enqueue(sseEvent("message_delta", { + type: "message_delta", + delta: { stop_reason: "tool_use", stop_sequence: null }, + usage: { output_tokens: streamResult.tokens.output } + })); + queue.enqueue(sseEvent("message_stop", { type: "message_stop" })); + return; + } + if (!textBlockStarted) { + queue.enqueue(sseEvent("content_block_start", { + type: "content_block_start", + index: 0, + content_block: { type: "text", text: "" } + })); + } + queue.enqueue(sseEvent("content_block_stop", { type: "content_block_stop", index: 0 })); + queue.enqueue(sseEvent("message_delta", { + type: "message_delta", + delta: { + stop_reason: mapFinishReasonToAnthropic(streamResult.finish), + stop_sequence: null + }, + usage: { output_tokens: streamResult.tokens.output } + })); + queue.enqueue(sseEvent("message_stop", { type: "message_stop" })); + }).catch(async (err) => { + const errMsg = err instanceof Error ? err.message : String(err); + await safeLog(client, "error", "Anthropic proxy streaming call failed", { error: errMsg, requestedModel: body.model }); + queue.enqueue(sseEvent("error", { type: "error", error: { type: "api_error", message: "Upstream request failed." } })); + }).finally(() => { + queue.finish(); + }); + yield* queue.generateChunks(); + await runPromise; + } + deferredCleanup = true; + return sseResponse(commonHeaders(request, config), generateSse(), { + onCancel: (reason) => context.abort(reason), + onDone: streamCleanup + }); + } + try { + const executed = await executeWithFallback(candidates, (candidate) => executePrompt(client, body, candidate, messages, system, callerTools, requestOptions)); + model = executed.model; + return json(createAnthropicResponse(executed.result, model), 200, {}, request); + } catch (error) { + const message = error instanceof Error ? error.message : String(error); + await safeLog(client, "error", "Anthropic proxy call failed", { error: message, requestedModel: body.model }); + return anthropicInternalError(error instanceof ProxyError ? message : "Upstream request failed.", error.status ?? 502, request); + } + } + const isGeminiNonStream = request.method === "POST" && url.pathname.endsWith(":generateContent"); + const isGeminiStream = request.method === "POST" && url.pathname.endsWith(":streamGenerateContent"); + if (isGeminiNonStream || isGeminiStream) { + const geminiModelName = geminiModelFromPath(url.pathname); + if (!geminiModelName) { + return badRequest("Could not extract model name from URL.", 400, request); + } + let body; + try { + body = await readJsonBody(request, config.maxRequestBytes, context.signal); + } catch (error) { + return badRequest(error.message, error.status ?? 400, request); + } + if (!Array.isArray(body.contents) || body.contents.length === 0) { + return badRequest("The 'contents' field must contain at least one item.", 400, request); + } + const callerTools = applyGeminiToolChoice(parseGeminiTools(body), body.toolConfig); + let format; + let controls; + try { + format = structuredFormat(body); + controls = generationControls(body); + } catch (error) { + return badRequest(error.message, error.status ?? 400, request); + } + let candidates; + try { + const providerOverride = request.headers.get("x-opencode-provider"); + candidates = await resolveModelCandidates(client, geminiModelName, providerOverride, config.aliases); + } catch (error) { + const message = error instanceof Error ? error.message : String(error); + await safeLog(client, "error", "Gemini proxy call failed (model resolve)", { error: message, requestedModel: geminiModelName }); + return badRequest(error instanceof ProxyError ? message : "The requested model is unavailable.", error.status ?? 400, request); + } + let prepared; + try { + prepared = await prepareCanonicalRequest(adaptGemini(body), config, context.signal, candidates); + } catch (error) { + return badRequest(error.message, error.status ?? 400, request, error.code); + } + const { messages, system, media } = prepared; + if (!messages[0].content.trim() && media.length === 0) { + return badRequest("No text content was found in the supplied contents.", 400, request); + } + const requestOptions = { ...options, media, format, controls, variant: request.headers.get("x-opencode-variant") ?? void 0 }; + if (isGeminiStream) { + const queue = createSseQueue(); + let emitted = false; + async function* generateNdJson() { + const runPromise = executeStreamingWithFallback(candidates, (candidate) => executePromptStreaming( + client, + candidate, + messages, + system, + (delta) => { + emitted = true; + const chunk = JSON.stringify(createGeminiResponse(delta, null, null)); + queue.enqueue(chunk + "\n"); + }, + callerTools, + requestOptions + ), () => emitted).then(({ result: streamResult }) => { + if (!emitted && streamResult.content && !(streamResult.toolCalls?.length > 0)) { + emitted = true; + queue.enqueue(JSON.stringify(createGeminiResponse(streamResult.content, null, null)) + "\n"); + } + const toolCalls = streamResult.toolCalls ?? []; + if (toolCalls.length > 0) { + queue.enqueue(JSON.stringify(createGeminiResponse("", null, null, toolCalls)) + "\n"); + } + const finalChunk = JSON.stringify(createGeminiResponse("", streamResult.finish, streamResult.tokens)); + queue.enqueue(finalChunk + "\n"); + }).catch(async (err) => { + const errMsg = err instanceof Error ? err.message : String(err); + await safeLog(client, "error", "Gemini proxy streaming call failed", { error: errMsg, requestedModel: geminiModelName }); + const errChunk = JSON.stringify({ error: { code: 502, message: "Upstream request failed.", status: "UNAVAILABLE" } }); + queue.enqueue(errChunk + "\n"); + }).finally(() => { + queue.finish(); + }); + yield* queue.generateChunks(); + await runPromise; + } + deferredCleanup = true; + return streamResponse({ + ...commonHeaders(request, config), + "content-type": "application/x-ndjson; charset=utf-8" + }, generateNdJson(), { + onCancel: (reason) => context.abort(reason), + onDone: streamCleanup + }); + } + try { + const executed = await executeWithFallback(candidates, (candidate) => executePrompt(client, body, candidate, messages, system, callerTools, requestOptions)); + const result = executed.result; + const finish = result.completion.data.info?.finish; + const tokens = result.completion.data.info?.tokens; + return json(createGeminiResponse(result.content, finish, tokens, result.toolCalls), 200, {}, request); + } catch (error) { + const message = error instanceof Error ? error.message : String(error); + await safeLog(client, "error", "Gemini proxy call failed", { error: message, requestedModel: geminiModelName }); + return badRequest(error instanceof ProxyError ? message : "Upstream request failed.", error.status ?? 502, request); + } + } + return text("Not found", 404, request, config); + } finally { + if (!deferredCleanup) { + releaseSlot(); + context.finish(); + safeLog(client, "info", "Proxy request completed", { + method: request.method, + path: url.pathname, + durationMs: Date.now() - started + }); + } + } + }; + return async (request) => { + const started = Date.now(); + const response = await handleRequest(request); + const details = { + method: request.method, + pathname: new URL(request.url).pathname, + status: response.status + }; + const contentType = response.headers.get("content-type") ?? ""; + const streaming = contentType.includes("text/event-stream") || contentType.includes("application/x-ndjson"); + if (streaming && response.body) { + const reader = response.body.getReader(); + const finish = once(() => getMetrics().recordHttpCompletion({ ...details, durationMs: Date.now() - started })); + const body = new ReadableStream({ + async pull(controller) { + try { + const { done, value } = await reader.read(); + if (done) { + controller.close(); + finish(); + } else { + controller.enqueue(value); + } + } catch (error) { + controller.error(error); + finish(); + } + }, + async cancel(reason) { + try { + await reader.cancel(reason); + } finally { + finish(); + } + } + }); + return new Response(body, { status: response.status, statusText: response.statusText, headers: response.headers }); + } + getMetrics().recordHttpCompletion({ ...details, durationMs: Date.now() - started }); + return response; + }; +} +var OpenAIProxyPlugin = async ({ client }) => { + const state = getState(); + if (state.started) { + return {}; + } + const hostname = process.env.OPENCODE_LLM_PROXY_HOST ?? "127.0.0.1"; + const port = Number.parseInt(process.env.OPENCODE_LLM_PROXY_PORT ?? "4010", 10); + let config; + try { + config = loadConfig(); + if (!Number.isInteger(port) || port < 1 || port > 65535) throw new ProxyError("Proxy port must be between 1 and 65535.", 500, "invalid_config"); + const normalizedHost = hostname.replace(/^\[|\]$/g, ""); + const loopback = normalizedHost === "localhost" || normalizedHost === "::1" || normalizedHost.startsWith("127.") || normalizedHost.startsWith("::ffff:127."); + if (!loopback && config.tokens.length === 0) { + throw new ProxyError("A bearer token is required when binding beyond loopback.", 500, "invalid_config"); + } + } catch (error) { + await safeLog(client, "warn", "OpenAI proxy configuration is invalid", { + error: error instanceof Error ? error.message : String(error) + }); + return {}; + } + let server; + try { + server = Bun.serve({ + hostname, + port, + fetch: createProxyFetchHandler(client) + }); + } catch (error) { + await safeLog(client, "warn", "OpenAI proxy server failed to start", { + hostname, + port, + error: error instanceof Error ? error.message : String(error) + }); + return {}; + } + state.started = true; + state.server = server; + await safeLog(client, "info", "OpenAI proxy server started", { + hostname, + port, + protected: Boolean(process.env.OPENCODE_LLM_PROXY_TOKEN) + }); + return { + "chat.params": async (input, output) => { + const controls = getState().generationControls?.get(input.sessionID); + if (!controls) return; + if (controls.temperature !== void 0) output.temperature = controls.temperature; + if (controls.topP !== void 0) output.topP = controls.topP; + if (controls.topK !== void 0) output.topK = controls.topK; + } + }; +}; +export { + OpenAIProxyPlugin, + applyAnthropicToolChoice, + applyGeminiToolChoice, + applyOpenAIToolChoice, + buildPrompt, + buildSystemPrompt, + buildToolsMap, + createProxyFetchHandler, + createSseQueue, + extractAssistantText, + extractGeminiSystemInstruction, + mapFinishReason, + mapFinishReasonToAnthropic, + mapFinishReasonToGemini, + normalizeAnthropicMessages, + normalizeAnthropicSystem, + normalizeGeminiContents, + normalizeMessages, + normalizeResponseInput, + parseAnthropicTools, + parseGeminiTools, + parseOpenAITools, + registerToolBridge, + releaseToolBridge, + resolveModel, + sanitizeToolName, + toTextContent +}; diff --git a/docs/security.md b/docs/security.md index 52ab6a5..cc0a1d1 100644 --- a/docs/security.md +++ b/docs/security.md @@ -36,6 +36,8 @@ If you must front the proxy with a reverse proxy on a trusted network, terminate When clients attach tools, the model can request actions that your client then executes (reading files, running commands, HTTP requests). Only enable tools you trust, validate arguments, sandbox side effects, and review any auto-approve settings in agent clients. +Tool bridges have a bounded pool and waiting queue. Requests beyond `OPENCODE_LLM_PROXY_TOOL_BRIDGE_MAX_QUEUE` receive `429`, limiting unbounded bridge-waiter growth under load. + ## Do not share provider access beyond your intended environment The whole point of the proxy is reuse of your OpenCode providers. Anyone who can call the proxy is using your GitHub Copilot / Anthropic / Bedrock / etc. access. Keep the audience limited to yourself or your team. @@ -50,7 +52,21 @@ Browser origins are denied by default. Configure an explicit JSON allowlist with The proxy enforces request timeouts, request/media size limits, active-request and queue limits, and tool-bridge acquisition timeouts. Tune the corresponding variables documented in the README for your host capacity. Temporary OpenCode sessions are deleted after requests by default; enable `OPENCODE_LLM_PROXY_KEEP_SESSIONS` only when retained sessions are needed for diagnostics. -Multimodal inputs are accepted only through supported content shapes and URL schemes and are checked against model capabilities. Structured-output schemas and generation controls are validated, and unsupported controls are rejected rather than silently accepted. +Multimodal inputs are accepted only through supported content shapes and are checked against model capabilities. Structured-output schemas and supported generation controls are validated. Maximum-token controls are accepted for client compatibility but cannot currently be enforced by the OpenCode SDK; other unsupported OpenAI/Anthropic controls are rejected rather than silently accepted. + +## Remote media fetching + +Remote media is disabled by default. Keep `OPENCODE_LLM_PROXY_REMOTE_MEDIA_ENABLED=false` unless a trusted client genuinely needs URL-based media; embedded data URLs avoid outbound requests and are safer. + +When enabled, the fetcher defaults to HTTPS only and converts successful downloads to embedded data URLs before forwarding them to OpenCode. Its SSRF protections include: + +- Resolving every initial and redirected hostname itself, rejecting credentials and non-public IPv4/IPv6 ranges, including loopback, private, link-local, shared, documentation, multicast, reserved, and IPv4-mapped addresses. +- Pinning the connection to the validated DNS address and verifying the actual socket peer is that same public address, preventing DNS rebinding between validation and connection. +- Re-resolving and re-validating every redirect target, bounding redirect count, and rejecting HTTPS-to-HTTP downgrades. +- Bounding the total item count, bytes per item, and total preparation time, including DNS and redirects. Both declared `Content-Length` and bytes actually read are checked. +- Accepting only supported media MIME types, requiring identity content encoding, and rejecting URL credentials and unconfigured schemes. + +Do not add `http` to `OPENCODE_LLM_PROXY_REMOTE_MEDIA_ALLOWED_SCHEMES` unless transport security is provided by a trusted environment and the risk is understood. These controls reduce SSRF risk but do not make arbitrary untrusted URL fetching preferable to leaving the feature disabled. ## Checklist @@ -60,4 +76,5 @@ Multimodal inputs are accepted only through supported content shapes and URL sch - [ ] Not reachable from the public internet - [ ] Firewall restricts inbound access to known hosts - [ ] Tool-using clients are trusted and reviewed +- [ ] Remote media remains disabled, or its HTTPS-only limits are reviewed - [ ] Tokens never written to logs diff --git a/eslint.config.js b/eslint.config.js index 8445b7f..9246fcc 100644 --- a/eslint.config.js +++ b/eslint.config.js @@ -1,6 +1,7 @@ import js from "@eslint/js" export default [ + { ignores: ["dist/**"] }, js.configs.recommended, { languageOptions: { diff --git a/index.js b/index.js index ed58c51..9466daf 100644 --- a/index.js +++ b/index.js @@ -1,6 +1,15 @@ import { fileURLToPath } from "node:url" import { Buffer } from "node:buffer" import { timingSafeEqual } from "node:crypto" +import { + adaptAnthropic, + adaptGemini, + adaptOpenAIChat, + adaptOpenAIResponses, + renderOpenCodePrompt, +} from "./canonical-messages.js" +import { getMetrics } from "./metrics.js" +import { MediaError, prepareMedia } from "./remote-media.js" const STATE_KEY = "__opencodeOpenAIProxyState" const BRIDGE_SCRIPT_PATH = fileURLToPath(new URL("./mcp-tool-bridge.js", import.meta.url)) @@ -18,6 +27,7 @@ const DEFAULTS = Object.freeze({ maxConcurrentRequests: 8, maxQueuedRequests: 32, bridgeAcquireTimeoutMs: 10000, + bridgeMaxQueue: 32, }) class ProxyError extends Error { @@ -63,22 +73,46 @@ function objectEnv(name) { } } +function booleanEnv(name, fallback = false) { + const raw = process.env[name] + if (raw === undefined || raw.trim() === "") return fallback + if (raw === "true") return true + if (raw === "false") return false + throw new ProxyError(`${name} must be 'true' or 'false'.`, 500, "invalid_config") +} + +function jsonArrayEnvDefault(name, fallback) { + return process.env[name]?.trim() ? jsonArrayEnv(name) : [...fallback] +} + function loadConfig() { const legacyToken = process.env.OPENCODE_LLM_PROXY_TOKEN?.trim() const configuredOrigin = process.env.OPENCODE_LLM_PROXY_CORS_ORIGIN?.trim() const origins = jsonArrayEnv("OPENCODE_LLM_PROXY_CORS_ORIGINS") if (configuredOrigin) origins.push(configuredOrigin) + const maxRequestBytes = integerEnv("OPENCODE_LLM_PROXY_MAX_REQUEST_BYTES", DEFAULTS.maxRequestBytes, { min: 1, max: 100 * 1024 * 1024 }) return { tokens: [...new Set([legacyToken, ...jsonArrayEnv("OPENCODE_LLM_PROXY_TOKENS")].filter(Boolean))], corsOrigins: [...new Set(origins)], allowPrivateNetwork: process.env.OPENCODE_LLM_PROXY_ALLOW_PRIVATE_NETWORK === "true", requestTimeoutMs: integerEnv("OPENCODE_LLM_PROXY_REQUEST_TIMEOUT_MS", DEFAULTS.requestTimeoutMs, { min: 1, max: 3600000 }), - maxRequestBytes: integerEnv("OPENCODE_LLM_PROXY_MAX_REQUEST_BYTES", DEFAULTS.maxRequestBytes, { min: 1, max: 100 * 1024 * 1024 }), + maxRequestBytes, maxConcurrentRequests: integerEnv("OPENCODE_LLM_PROXY_MAX_CONCURRENT_REQUESTS", DEFAULTS.maxConcurrentRequests, { min: 1, max: 1000 }), maxQueuedRequests: integerEnv("OPENCODE_LLM_PROXY_MAX_QUEUED_REQUESTS", DEFAULTS.maxQueuedRequests, { min: 0, max: 10000 }), bridgeAcquireTimeoutMs: integerEnv("OPENCODE_LLM_PROXY_TOOL_BRIDGE_ACQUIRE_TIMEOUT_MS", DEFAULTS.bridgeAcquireTimeoutMs, { min: 1, max: 3600000 }), + bridgeMaxQueue: integerEnv("OPENCODE_LLM_PROXY_TOOL_BRIDGE_MAX_QUEUE", DEFAULTS.bridgeMaxQueue, { min: 0, max: 10000 }), keepSessions: process.env.OPENCODE_LLM_PROXY_KEEP_SESSIONS === "true", aliases: objectEnv("OPENCODE_LLM_PROXY_MODEL_ALIASES"), + metricsEnabled: booleanEnv("OPENCODE_LLM_PROXY_METRICS_ENABLED"), + remoteMedia: { + enabled: booleanEnv("OPENCODE_LLM_PROXY_REMOTE_MEDIA_ENABLED"), + allowedSchemes: jsonArrayEnvDefault("OPENCODE_LLM_PROXY_REMOTE_MEDIA_ALLOWED_SCHEMES", ["https"]), + maxBytes: integerEnv("OPENCODE_LLM_PROXY_REMOTE_MEDIA_MAX_BYTES", maxRequestBytes || 1024 * 1024, { min: 1, max: 100 * 1024 * 1024 }), + maxItems: integerEnv("OPENCODE_LLM_PROXY_REMOTE_MEDIA_MAX_ITEMS", 4, { min: 0, max: 10000 }), + maxTotalItems: integerEnv("OPENCODE_LLM_PROXY_MAX_MEDIA_ITEMS", 64, { min: 1, max: 10000 }), + maxRedirects: integerEnv("OPENCODE_LLM_PROXY_REMOTE_MEDIA_MAX_REDIRECTS", 3, { min: 0, max: 100 }), + timeoutMs: integerEnv("OPENCODE_LLM_PROXY_REMOTE_MEDIA_TIMEOUT_MS", 10000, { min: 1, max: 3600000 }), + }, } } @@ -149,12 +183,13 @@ function unauthorized(request) { ) } -function badRequest(message, status = 400, request) { +function badRequest(message, status = 400, request, code) { return json( { error: { message, type: "invalid_request_error", + ...(code ? { code } : {}), }, }, status, @@ -276,8 +311,11 @@ function getRequestLimiter(config) { async function acquireRequestSlot(config, signal) { const limiter = getRequestLimiter(config) + const metrics = getMetrics() + if (signal?.aborted) throw signal.reason ?? new ProxyError("Request was cancelled.", 499, "cancelled") if (limiter.active < config.maxConcurrentRequests) { limiter.active++ + metrics.setActiveRequests(limiter.active) return () => releaseRequestSlot(limiter) } if (limiter.waiters.length >= config.maxQueuedRequests) { @@ -289,6 +327,8 @@ async function acquireRequestSlot(config, signal) { const onAbort = () => { if (!waiter.active) return waiter.active = false + limiter.waiters = limiter.waiters.filter((entry) => entry !== waiter) + metrics.setQueuedRequests(limiter.waiters.length) cleanup() reject(signal.reason ?? new ProxyError("Request was cancelled.", 499, "cancelled")) } @@ -297,22 +337,87 @@ async function acquireRequestSlot(config, signal) { waiter.active = false cleanup() limiter.active++ + metrics.setActiveRequests(limiter.active) + metrics.setQueuedRequests(limiter.waiters.filter((entry) => entry.active).length) resolve(() => releaseRequestSlot(limiter)) return true } limiter.waiters.push(waiter) + metrics.setQueuedRequests(limiter.waiters.length) signal?.addEventListener("abort", onAbort, { once: true }) }) } function releaseRequestSlot(limiter) { limiter.active = Math.max(0, limiter.active - 1) + getMetrics().setActiveRequests(limiter.active) while (limiter.waiters.length > 0) { const waiter = limiter.waiters.shift() if (waiter.resolve()) return } } +function renderedSystem(canonicalSystem) { + return [ + canonicalSystem, + "You are answering through a proxy backed by OpenCode.", + "Return only the assistant's reply content.", + ].filter(Boolean).join("\n\n") +} + +async function prepareCanonicalRequest(canonical, config, signal, candidates = []) { + const rendered = renderOpenCodePrompt(canonical) + for (const part of rendered.media) { + const kind = part.mime === "application/pdf" ? "pdf" : part.mime.split("/", 1)[0] + if (candidates.length > 0 && candidates.every((model) => model.capabilities?.input?.[kind] === false)) { + throw new ProxyError(`The selected model does not support ${kind} input.`, 400, "unsupported_media") + } + } + let finishRemoteMedia + let remoteMediaBytes = 0 + let remoteMediaRedirects = 0 + let remoteMediaStarted = 0 + const finish = (outcome) => { + finishRemoteMedia?.({ + outcome, + bytes: remoteMediaBytes, + redirects: remoteMediaRedirects, + durationMs: Date.now() - remoteMediaStarted, + }) + finishRemoteMedia = undefined + } + try { + const media = await prepareMedia(rendered.media, config.remoteMedia, signal, { + increment(name, value = 1) { + if (name === "remoteMediaAttempts") { + remoteMediaBytes = 0 + remoteMediaRedirects = 0 + remoteMediaStarted = Date.now() + finishRemoteMedia = getMetrics().startRemoteMedia() + } else if (name === "remoteMediaBytes") { + remoteMediaBytes += value + } else if (name === "remoteMediaRedirects") { + remoteMediaRedirects += value + } else if (name === "remoteMediaDownloads") { + finish("success") + } + }, + }) + return { messages: [{ role: "user", content: rendered.text }], system: renderedSystem(rendered.system), media } + } catch (error) { + const outcome = error?.code === "media_timeout" + ? "timeout" + : error?.code === "media_aborted" + ? "cancelled" + : error?.status === 400 || error?.status === 413 || error?.status === 415 + ? "rejected" + : "error" + finish(outcome) + if (error instanceof MediaError) throw new ProxyError(error.message, error.status, error.code) + throw error + } +} + export function toTextContent(content) { if (typeof content === "string") return content if (!Array.isArray(content)) return "" @@ -791,14 +896,23 @@ function getToolBridgeState() { async function acquireBridgeSlot(options = {}) { const bridgeState = getToolBridgeState() + if (options.signal?.aborted) throw options.signal.reason ?? new ProxyError("Request was cancelled.", 499, "cancelled") if (bridgeState.freeSlots.length > 0) { return bridgeState.freeSlots.shift() } + if (bridgeState.waiters.filter((waiter) => waiter.active).length >= (options.maxQueue ?? DEFAULTS.bridgeMaxQueue)) { + throw new ProxyError("Tool capacity is busy. Try again later.", 429, "tool_capacity_overloaded") + } return new Promise((resolve, reject) => { const waiter = { active: true } + const removeWaiter = () => { + bridgeState.waiters = bridgeState.waiters.filter((entry) => entry !== waiter) + } const timeout = setTimeout(() => { if (!waiter.active) return waiter.active = false + removeWaiter() + options.signal?.removeEventListener("abort", onAbort) reject(new ProxyError("Timed out waiting for tool capacity.", 503, "tool_capacity_timeout")) }, options.timeoutMs ?? DEFAULTS.bridgeAcquireTimeoutMs) timeout.unref?.() @@ -806,6 +920,7 @@ async function acquireBridgeSlot(options = {}) { if (!waiter.active) return waiter.active = false clearTimeout(timeout) + removeWaiter() reject(options.signal.reason ?? new ProxyError("Request was cancelled.", 499, "cancelled")) } waiter.resolve = (slot) => { @@ -1037,11 +1152,14 @@ async function runAgentTurn(client, model, messages, system, callerTools, onChun bridge = await registerToolBridge(client, callerTools, { signal: options.signal, timeoutMs: options.bridgeAcquireTimeoutMs, + maxQueue: options.bridgeMaxQueue, }) toolsMap = buildToolsMap(baseTools, bridge) } let sessionID + let eventStream + let removeAbortListener = () => {} const toolIDSet = bridge ? new Set(bridge.toolIDs) : null let errorMessage = null @@ -1083,9 +1201,11 @@ async function runAgentTurn(client, model, messages, system, callerTools, onChun sessionID = session.data.id setGenerationControls(sessionID, options.controls) const onAbort = () => client.session.abort?.({ path: { id: sessionID } }).catch(() => {}) + removeAbortListener = () => options.signal?.removeEventListener("abort", onAbort) options.signal?.addEventListener("abort", onAbort, { once: true }) // Subscribe before prompting so no events are missed. const { stream } = await client.event.subscribe({ signal: options.signal }) + eventStream = stream await client.session.promptAsync({ path: { id: sessionID }, signal: options.signal, @@ -1156,11 +1276,16 @@ async function runAgentTurn(client, model, messages, system, callerTools, onChun } } } - options.signal?.removeEventListener("abort", onAbort) } catch (error) { await deleteSession(client, sessionID, options.keepSessions) throw error } finally { + removeAbortListener() + try { + await eventStream?.return?.() + } catch { + // Signal and session cleanup remain authoritative if iterator disposal fails. + } clearGenerationControls(sessionID) releaseToolBridge(bridge) } @@ -1232,6 +1357,12 @@ async function listModels(client) { export async function resolveModel(client, requestedModel, providerOverride) { const allModels = await listModels(client) + if (providerOverride && requestedModel.includes("/")) { + const [providerID] = requestedModel.split("/") + if (providerID !== providerOverride) { + throw new Error(`Model '${requestedModel}' does not match provider override '${providerOverride}'.`) + } + } if (providerOverride) { const match = allModels.find( (model) => model.providerID === providerOverride && model.modelID === requestedModel, @@ -1279,12 +1410,27 @@ function isRetryableError(error) { return !error?.message?.toLowerCase().includes("invalid") } +function upstreamOutcome(error) { + if (error?.code === "timeout" || error?.status === 504) return "timeout" + if (error?.code === "cancelled" || error?.status === 499) return "cancelled" + return "error" +} + +function recordExecutionMetrics(result) { + const tokens = result?.tokens ?? result?.completion?.data?.info?.tokens + getMetrics().recordUpstreamAttempt("success") + if (tokens) getMetrics().recordTokens(tokens) +} + async function executeWithFallback(candidates, operation) { let lastError for (const candidate of candidates) { try { - return { result: await operation(candidate), model: candidate } + const result = await operation(candidate) + recordExecutionMetrics(result) + return { result, model: candidate } } catch (error) { + getMetrics().recordUpstreamAttempt(upstreamOutcome(error)) lastError = error if (!isRetryableError(error)) throw error } @@ -1296,8 +1442,11 @@ async function executeStreamingWithFallback(candidates, operation, hasOutput) { let lastError for (const candidate of candidates) { try { - return { result: await operation(candidate), model: candidate } + const result = await operation(candidate) + recordExecutionMetrics(result) + return { result, model: candidate } } catch (error) { + getMetrics().recordUpstreamAttempt(upstreamOutcome(error)) lastError = error if (hasOutput() || !isRetryableError(error)) throw error } @@ -1556,57 +1705,6 @@ export function normalizeGeminiContents(contents) { .filter((m) => m.content.length > 0) } -function openAIMedia(messages) { - const media = [] - for (const message of messages ?? []) { - for (const part of Array.isArray(message?.content) ? message.content : []) { - if (part?.type === "image_url") { - const url = typeof part.image_url === "string" ? part.image_url : part.image_url?.url - if (url) media.push({ type: "file", mime: /^data:([^;,]+)/.exec(url)?.[1] ?? "image/*", url }) - } else if (part?.type === "input_image" && (part.image_url || part.file_data)) { - const url = part.image_url ?? part.file_data - media.push({ type: "file", mime: /^data:([^;,]+)/.exec(url)?.[1] ?? "image/*", url }) - } else if (part?.type === "input_file" && (part.file_data || part.file_url)) { - const url = part.file_data ?? part.file_url - media.push({ type: "file", mime: part.mime_type ?? /^data:([^;,]+)/.exec(url)?.[1] ?? "application/octet-stream", url, filename: part.filename }) - } - } - } - return media -} - -function anthropicMedia(messages) { - const media = [] - for (const message of messages ?? []) { - for (const block of Array.isArray(message?.content) ? message.content : []) { - if (!block || !["image", "document"].includes(block.type)) continue - const source = block.source - if (source?.type === "base64" && source.media_type && source.data) { - media.push({ type: "file", mime: source.media_type, url: `data:${source.media_type};base64,${source.data}` }) - } else if (source?.type === "url" && source.url) { - media.push({ type: "file", mime: block.type === "image" ? "image/*" : "application/pdf", url: source.url }) - } - } - } - return media -} - -function geminiMedia(contents) { - const media = [] - for (const item of contents ?? []) { - for (const part of item?.parts ?? []) { - const inline = part?.inlineData ?? part?.inline_data - const file = part?.fileData ?? part?.file_data - if (inline?.mimeType && inline.data) { - media.push({ type: "file", mime: inline.mimeType, url: `data:${inline.mimeType};base64,${inline.data}` }) - } else if (file?.mimeType && file.fileUri) { - media.push({ type: "file", mime: file.mimeType, url: file.fileUri }) - } - } - } - return media -} - function generationControls(body) { const source = body.generationConfig ?? body const controls = {} @@ -1679,7 +1777,7 @@ function geminiModelFromPath(pathname) { export function createProxyFetchHandler(client) { const config = loadConfig() - return async (request) => { + const handleRequest = async (request) => { const url = new URL(request.url) const origin = request.headers.get("origin") @@ -1721,6 +1819,7 @@ export function createProxyFetchHandler(client) { signal: context.signal, maxRequestBytes: config.maxRequestBytes, bridgeAcquireTimeoutMs: config.bridgeAcquireTimeoutMs, + bridgeMaxQueue: config.bridgeMaxQueue, keepSessions: config.keepSessions, } const streamCleanup = once(() => { @@ -1739,6 +1838,16 @@ export function createProxyFetchHandler(client) { return json({ healthy: true, service: "opencode-openai-proxy" }, 200, {}, request) } + if (request.method === "GET" && url.pathname === "/metrics" && config.metricsEnabled) { + return new Response(getMetrics().metrics(), { + status: 200, + headers: { + ...commonHeaders(request, config), + "content-type": "text/plain; version=0.0.4; charset=utf-8", + }, + }) + } + if (request.method === "GET" && url.pathname === "/v1/models") { try { const models = await listModels(client) @@ -1767,15 +1876,20 @@ export function createProxyFetchHandler(client) { return badRequest("The 'messages' field must contain at least one message.", 400, request) } - const messages = normalizeMessages(body.messages) - const media = openAIMedia(body.messages) - if (messages.length === 0 && media.length === 0) { - return badRequest("No text content was found in the supplied messages.", 400, request) + const callerTools = applyOpenAIToolChoice(parseOpenAITools(body), body.tool_choice) + let format + let controls + try { + validateUnsupportedControls(body) + format = structuredFormat(body) + if (format && callerTools.length > 0) throw new ProxyError("Structured output cannot be combined with tools.", 400, "invalid_request") + controls = generationControls(body) + } catch (error) { + return badRequest(error.message, error.status ?? 400, request) } let candidates try { - validateUnsupportedControls(body) const providerOverride = request.headers.get("x-opencode-provider") candidates = await resolveModelCandidates(client, body.model, providerOverride, config.aliases) } catch (error) { @@ -1787,16 +1901,17 @@ export function createProxyFetchHandler(client) { return badRequest(error instanceof ProxyError ? message : "The requested model is unavailable.", error.status ?? 400, request) } - const system = buildSystemPrompt(messages, body) - const callerTools = applyOpenAIToolChoice(parseOpenAITools(body), body.tool_choice) - let requestOptions + let prepared try { - const format = structuredFormat(body) - if (format && callerTools.length > 0) throw new ProxyError("Structured output cannot be combined with tools.", 400, "invalid_request") - requestOptions = { ...options, media, format, controls: generationControls(body), variant: request.headers.get("x-opencode-variant") ?? undefined } + prepared = await prepareCanonicalRequest(adaptOpenAIChat(body), config, context.signal, candidates) } catch (error) { - return badRequest(error.message, error.status ?? 400, request) + return badRequest(error.message, error.status ?? 400, request, error.code) } + const { messages, system, media } = prepared + if (!messages[0].content.trim() && media.length === 0) { + return badRequest("No text content was found in the supplied messages.", 400, request) + } + const requestOptions = { ...options, media, format, controls, variant: request.headers.get("x-opencode-variant") ?? undefined } let model = candidates[0] if (body.stream) { @@ -1936,27 +2051,20 @@ export function createProxyFetchHandler(client) { return badRequest("The 'model' field is required.", 400, request) } - const messages = normalizeResponseInput(body.input) - const media = openAIMedia(Array.isArray(body.input) ? body.input : []) - if (messages.length === 0 && media.length === 0) { - return badRequest("The 'input' field must contain at least one text message.", 400, request) - } - - const instructionMessages = - typeof body.instructions === "string" && body.instructions.trim() - ? [{ role: "system", content: body.instructions.trim() }, ...messages] - : messages - - const system = buildSystemPrompt(instructionMessages, { - temperature: body.temperature, - max_tokens: body.max_output_tokens, - max_completion_tokens: body.max_output_tokens, - }) const callerTools = applyOpenAIToolChoice(parseOpenAITools(body), body.tool_choice) + let format + let controls + try { + validateUnsupportedControls(body) + format = structuredFormat(body) + if (format && callerTools.length > 0) throw new ProxyError("Structured output cannot be combined with tools.", 400, "invalid_request") + controls = generationControls(body) + } catch (error) { + return badRequest(error.message, error.status ?? 400, request) + } let candidates try { - validateUnsupportedControls(body) const providerOverride = request.headers.get("x-opencode-provider") candidates = await resolveModelCandidates(client, body.model, providerOverride, config.aliases) } catch (error) { @@ -1967,14 +2075,18 @@ export function createProxyFetchHandler(client) { }) return badRequest(error instanceof ProxyError ? message : "The requested model is unavailable.", error.status ?? 400, request) } - let requestOptions + + let prepared try { - const format = structuredFormat(body) - if (format && callerTools.length > 0) throw new ProxyError("Structured output cannot be combined with tools.", 400, "invalid_request") - requestOptions = { ...options, media, format, controls: generationControls(body), variant: request.headers.get("x-opencode-variant") ?? body.reasoning?.effort ?? undefined } + prepared = await prepareCanonicalRequest(adaptOpenAIResponses(body), config, context.signal, candidates) } catch (error) { - return badRequest(error.message, error.status ?? 400, request) + return badRequest(error.message, error.status ?? 400, request, error.code) } + const { messages, system, media } = prepared + if (!messages[0].content.trim() && media.length === 0) { + return badRequest("The 'input' field must contain at least one text message.", 400, request) + } + const requestOptions = { ...options, media, format, controls, variant: request.headers.get("x-opencode-variant") ?? body.reasoning?.effort ?? undefined } let model = candidates[0] if (body.stream) { @@ -2246,29 +2358,17 @@ export function createProxyFetchHandler(client) { return anthropicBadRequest("The 'messages' field must contain at least one message.", 400, request) } - const messages = normalizeAnthropicMessages(body.messages) - const media = anthropicMedia(body.messages) - if (messages.length === 0 && media.length === 0) { - return anthropicBadRequest("No text content was found in the supplied messages.", 400, request) - } - - // Prepend Anthropic top-level `system` (string or array-of-content-blocks, - // per the Messages API spec) as a system message so buildSystemPrompt - // picks it up. - const systemText = normalizeAnthropicSystem(body.system) - const allMessages = systemText - ? [{ role: "system", content: systemText }, ...messages] - : messages - - const system = buildSystemPrompt(allMessages, { - temperature: body.temperature, - max_tokens: body.max_tokens, - }) const callerTools = applyAnthropicToolChoice(parseAnthropicTools(body), body.tool_choice) + let controls + try { + validateUnsupportedControls(body) + controls = generationControls(body) + } catch (error) { + return anthropicBadRequest(error.message, error.status ?? 400, request) + } let candidates try { - validateUnsupportedControls(body) const providerOverride = request.headers.get("x-opencode-provider") candidates = await resolveModelCandidates(client, body.model, providerOverride, config.aliases) } catch (error) { @@ -2276,12 +2376,18 @@ export function createProxyFetchHandler(client) { await safeLog(client, "error", "Anthropic proxy call failed (model resolve)", { error: message, requestedModel: body.model }) return anthropicBadRequest(error instanceof ProxyError ? message : "The requested model is unavailable.", error.status ?? 400, request) } - let requestOptions + + let prepared try { - requestOptions = { ...options, media, controls: generationControls(body), variant: request.headers.get("x-opencode-variant") ?? undefined } + prepared = await prepareCanonicalRequest(adaptAnthropic(body), config, context.signal, candidates) } catch (error) { return anthropicBadRequest(error.message, error.status ?? 400, request) } + const { messages, system, media } = prepared + if (!messages[0].content.trim() && media.length === 0) { + return anthropicBadRequest("No text content was found in the supplied messages.", 400, request) + } + const requestOptions = { ...options, media, controls, variant: request.headers.get("x-opencode-variant") ?? undefined } let model = candidates[0] if (body.stream) { @@ -2448,19 +2554,15 @@ export function createProxyFetchHandler(client) { return badRequest("The 'contents' field must contain at least one item.", 400, request) } - const messages = normalizeGeminiContents(body.contents) - const media = geminiMedia(body.contents) - if (messages.length === 0 && media.length === 0) { - return badRequest("No text content was found in the supplied contents.", 400, request) - } - - const systemText = extractGeminiSystemInstruction(body.systemInstruction) - const systemMessages = systemText ? [{ role: "system", content: systemText }, ...messages] : messages - const system = buildSystemPrompt(systemMessages, { - temperature: body.generationConfig?.temperature, - max_tokens: body.generationConfig?.maxOutputTokens, - }) const callerTools = applyGeminiToolChoice(parseGeminiTools(body), body.toolConfig) + let format + let controls + try { + format = structuredFormat(body) + controls = generationControls(body) + } catch (error) { + return badRequest(error.message, error.status ?? 400, request) + } let candidates try { @@ -2471,12 +2573,18 @@ export function createProxyFetchHandler(client) { await safeLog(client, "error", "Gemini proxy call failed (model resolve)", { error: message, requestedModel: geminiModelName }) return badRequest(error instanceof ProxyError ? message : "The requested model is unavailable.", error.status ?? 400, request) } - let requestOptions + + let prepared try { - requestOptions = { ...options, media, format: structuredFormat(body), controls: generationControls(body), variant: request.headers.get("x-opencode-variant") ?? undefined } + prepared = await prepareCanonicalRequest(adaptGemini(body), config, context.signal, candidates) } catch (error) { - return badRequest(error.message, error.status ?? 400, request) + return badRequest(error.message, error.status ?? 400, request, error.code) + } + const { messages, system, media } = prepared + if (!messages[0].content.trim() && media.length === 0) { + return badRequest("No text content was found in the supplied contents.", 400, request) } + const requestOptions = { ...options, media, format, controls, variant: request.headers.get("x-opencode-variant") ?? undefined } if (isGeminiStream) { const queue = createSseQueue() let emitted = false @@ -2501,11 +2609,10 @@ export function createProxyFetchHandler(client) { queue.enqueue(JSON.stringify(createGeminiResponse(streamResult.content, null, null)) + "\n") } const toolCalls = streamResult.toolCalls ?? [] - const finalChunk = JSON.stringify( - toolCalls.length > 0 - ? createGeminiResponse("", streamResult.finish, streamResult.tokens, toolCalls) - : createGeminiResponse("", streamResult.finish, streamResult.tokens), - ) + if (toolCalls.length > 0) { + queue.enqueue(JSON.stringify(createGeminiResponse("", null, null, toolCalls)) + "\n") + } + const finalChunk = JSON.stringify(createGeminiResponse("", streamResult.finish, streamResult.tokens)) queue.enqueue(finalChunk + "\n") }) .catch(async (err) => { @@ -2559,6 +2666,48 @@ export function createProxyFetchHandler(client) { } } } + + return async (request) => { + const started = Date.now() + const response = await handleRequest(request) + const details = { + method: request.method, + pathname: new URL(request.url).pathname, + status: response.status, + } + const contentType = response.headers.get("content-type") ?? "" + const streaming = contentType.includes("text/event-stream") || contentType.includes("application/x-ndjson") + if (streaming && response.body) { + const reader = response.body.getReader() + const finish = once(() => getMetrics().recordHttpCompletion({ ...details, durationMs: Date.now() - started })) + const body = new ReadableStream({ + async pull(controller) { + try { + const { done, value } = await reader.read() + if (done) { + controller.close() + finish() + } else { + controller.enqueue(value) + } + } catch (error) { + controller.error(error) + finish() + } + }, + async cancel(reason) { + try { + await reader.cancel(reason) + } finally { + finish() + } + }, + }) + return new Response(body, { status: response.status, statusText: response.statusText, headers: response.headers }) + } + getMetrics().recordHttpCompletion({ ...details, durationMs: Date.now() - started }) + return response + } } export const OpenAIProxyPlugin = async ({ client }) => { diff --git a/index.test.js b/index.test.js index 826c05f..57ada84 100644 --- a/index.test.js +++ b/index.test.js @@ -34,6 +34,7 @@ import { } from "./index.js" import { dispatch, parseTools, runStdioServer } from "./mcp-tool-bridge.js" +import { getMetrics, resetMetrics } from "./metrics.js" // Keep the suite hermetic: environment variables leaking in from the developer's // shell or CI (e.g. OPENCODE_LLM_PROXY_TOKEN) must not change test outcomes. @@ -42,6 +43,7 @@ beforeEach(() => { for (const name of Object.keys(process.env)) { if (name.startsWith("OPENCODE_LLM_PROXY_")) delete process.env[name] } + resetMetrics() }) // --------------------------------------------------------------------------- @@ -226,6 +228,22 @@ test("remote media URLs are rejected to prevent SSRF", async () => { assert.equal(response.status, 400) }) +test("unknown model takes precedence over remote media fetching", async () => { + const handler = createProxyFetchHandler(createModelsClient([])) + const response = await handler(new Request("http://127.0.0.1:4010/v1/responses", { + method: "POST", + headers: { "content-type": "application/json" }, + body: JSON.stringify({ + model: "nonexistent", + input: [{ role: "user", content: [{ type: "input_image", image_url: "http://127.0.0.1/private" }] }], + }), + })) + const body = await response.json() + + assert.equal(response.status, 400) + assert.equal(body.error.message, "The requested model is unavailable.") +}) + test("request with no Origin header is handled gracefully", async () => { const handler = createProxyFetchHandler(createClient()) const request = new Request("http://127.0.0.1:4010/health") @@ -545,6 +563,42 @@ test("unknown route returns 404", async () => { assert.equal(response.status, 404) }) +test("HTTP metrics record exact auth, CORS, route, and stream statuses", async () => { + process.env.OPENCODE_LLM_PROXY_TOKEN = "secret" + process.env.OPENCODE_LLM_PROXY_CORS_ORIGIN = "https://allowed.example.com" + let handler = createProxyFetchHandler(createClient()) + + await handler(new Request("http://127.0.0.1:4010/health")) + await handler(new Request("http://127.0.0.1:4010/health", { headers: { origin: "https://denied.example.com" } })) + + delete process.env.OPENCODE_LLM_PROXY_TOKEN + delete process.env.OPENCODE_LLM_PROXY_CORS_ORIGIN + handler = createProxyFetchHandler(createStreamingClient([ + { type: "session.idle", properties: { sessionID: "sess-123" } }, + ])) + const stream = await handler(new Request("http://127.0.0.1:4010/v1/chat/completions", { + method: "POST", + headers: { "content-type": "application/json" }, + body: JSON.stringify({ model: "gpt-4o", stream: true, messages: [{ role: "user", content: "hi" }] }), + })) + await stream.text() + + const output = getMetrics().metrics() + assert.match(output, /method="GET",route="\/health",status="401"\} 1/) + assert.match(output, /method="GET",route="\/health",status="403"\} 1/) + assert.match(output, /method="POST",route="\/v1\/chat\/completions",status="200"\} 1/) +}) + +test("metrics endpoint is available only when enabled", async () => { + let response = await createProxyFetchHandler(createClient())(new Request("http://127.0.0.1:4010/metrics")) + assert.equal(response.status, 404) + + process.env.OPENCODE_LLM_PROXY_METRICS_ENABLED = "true" + response = await createProxyFetchHandler(createClient())(new Request("http://127.0.0.1:4010/metrics")) + assert.equal(response.status, 200) + assert.match(await response.text(), /opencode_proxy_http_requests_total/) +}) + // --------------------------------------------------------------------------- describe("toTextContent", () => { it("returns a string unchanged", () => { @@ -876,6 +930,14 @@ describe("resolveModel", () => { assert.equal(model.providerID, "openai") assert.equal(model.modelID, "gpt-4o-mini") }) + + it("rejects a fully-qualified ID with a mismatching providerOverride", async () => { + const client = makeClient(providers) + await assert.rejects( + () => resolveModel(client, "openai/gpt-4o", "anthropic"), + /does not match provider override/, + ) + }) }) // --------------------------------------------------------------------------- @@ -1162,6 +1224,32 @@ test("OpenAI image content is forwarded as an OpenCode file part", async () => { assert.deepEqual(parts[1], { type: "file", mime: "image/png", url: image }) }) +test("canonical request rendering preserves tool calls and results as structured history", async () => { + const client = createResponsesClient() + let prompt + client.session.prompt = async ({ body }) => { + prompt = body.parts[0].text + return { data: { parts: [{ type: "text", text: "done" }], info: { tokens: {}, finish: "stop" } } } + } + const response = await createProxyFetchHandler(client)(new Request("http://127.0.0.1:4010/v1/responses", { + method: "POST", + headers: { "content-type": "application/json" }, + body: JSON.stringify({ + model: "anthropic/claude-3-5-sonnet", + input: [ + { type: "function_call", call_id: "call-1", name: "lookup", arguments: "{\"id\":7}" }, + { type: "function_call_output", call_id: "call-1", output: { found: true } }, + ], + }), + })) + + assert.equal(response.status, 200) + const lines = prompt.split("\n\n")[1].split("\n").map(JSON.parse) + assert.equal(lines[0].content[0].type, "tool_call") + assert.deepEqual(lines[0].content[0].arguments, { type: "json", value: { id: 7 } }) + assert.deepEqual(lines[1].content[0].content[0], { type: "json", value: { found: true } }) +}) + test("model aliases fall back to the next target after an upstream failure", async () => { process.env.OPENCODE_LLM_PROXY_MODEL_ALIASES = JSON.stringify({ smart: ["openai/first", "openai/second"] }) const attempted = [] @@ -2713,6 +2801,24 @@ describe("buildToolsMap / registerToolBridge slot isolation", () => { assert.equal(response.status, 502) assert.deepEqual(state.toolBridge.freeSlots, ["px_tools_0"]) }) + + it("enforces the configured bridge waiting queue limit", async () => { + const state = globalThis.__opencodeOpenAIProxyState + state.toolBridge = { freeSlots: [], waiters: [], slotToolIDs: new Map() } + const client = { mcp: {} } + const tools = [{ name: "queued", description: "", parameters: { type: "object", properties: {} } }] + const controller = new AbortController() + const waiting = registerToolBridge(client, tools, { signal: controller.signal, timeoutMs: 1000, maxQueue: 1 }) + + await assert.rejects( + registerToolBridge(client, tools, { timeoutMs: 1000, maxQueue: 1 }), + (error) => error.status === 429 && error.code === "tool_capacity_overloaded", + ) + controller.abort() + await assert.rejects(waiting) + assert.equal(state.toolBridge.waiters.length, 0) + delete state.toolBridge + }) }) test("POST /v1beta/models/:model:generateContent returns a functionCall part", async () => { @@ -2807,7 +2913,7 @@ test("tool_choice: none disables tool calling even when tools are supplied", asy assert.equal(client.mcp, undefined) }) -test("POST /v1beta/models/:model:streamGenerateContent emits a functionCall in the final chunk", async () => { +test("POST /v1beta/models/:model:streamGenerateContent emits functionCall before the terminal chunk", async () => { const client = createToolCallClient({ toolName: "get_weather", toolArgs: { city: "NYC" }, @@ -2830,11 +2936,12 @@ test("POST /v1beta/models/:model:streamGenerateContent emits a functionCall in t .split("\n") .filter(Boolean) .map((line) => JSON.parse(line)) - const functionCall = chunks.at(-1).candidates[0].content.parts[0].functionCall + const functionCall = chunks.at(-2).candidates[0].content.parts[0].functionCall assert.ok(functionCall) assert.equal(functionCall.name, "get_weather") assert.deepEqual(functionCall.args, { city: "NYC" }) + assert.equal(chunks.at(-1).candidates[0].finishReason, "STOP") }) // --------------------------------------------------------------------------- diff --git a/metrics.js b/metrics.js new file mode 100644 index 0000000..6f2680b --- /dev/null +++ b/metrics.js @@ -0,0 +1,338 @@ +const DEFAULT_DURATION_BUCKETS = [0.005, 0.01, 0.025, 0.05, 0.1, 0.25, 0.5, 1, 2.5, 5, 10, 30] + +export const ROUTES = Object.freeze({ + health: "/health", + metrics: "/metrics", + models: "/v1/models", + chatCompletions: "/v1/chat/completions", + responses: "/v1/responses", + messages: "/v1/messages", + geminiGenerate: "/v1beta/models/:model:generateContent", + geminiStreamGenerate: "/v1beta/models/:model:streamGenerateContent", + unknown: "unknown", +}) + +const FIXED_ROUTES = new Set(Object.values(ROUTES)) +const METHODS = new Set(["GET", "POST", "OPTIONS", "HEAD", "PUT", "PATCH", "DELETE"]) +const UPSTREAM_OUTCOMES = new Set(["success", "error", "timeout", "cancelled"]) +const MEDIA_OUTCOMES = new Set(["success", "error", "timeout", "cancelled", "rejected"]) + +function escapeHelp(value) { + return String(value).replaceAll("\\", "\\\\").replaceAll("\n", "\\n") +} + +function escapeLabel(value) { + return String(value).replaceAll("\\", "\\\\").replaceAll("\n", "\\n").replaceAll('"', '\\"') +} + +function number(value) { + if (value === Infinity) return "+Inf" + if (value === -Infinity) return "-Inf" + if (Number.isNaN(value)) return "NaN" + return String(value) +} + +function assertMetricName(name) { + if (!/^[a-zA-Z_:][a-zA-Z0-9_:]*$/.test(name)) throw new TypeError(`Invalid metric name: ${name}`) +} + +function assertLabelNames(labelNames) { + const unique = new Set(labelNames) + if (unique.size !== labelNames.length) throw new TypeError("Metric label names must be unique") + for (const name of labelNames) { + if (!/^[a-zA-Z_][a-zA-Z0-9_]*$/.test(name) || name === "le") { + throw new TypeError(`Invalid metric label name: ${name}`) + } + } +} + +function normalizeDefinition(nameOrOptions, help, labelNames = [], extra = {}) { + if (typeof nameOrOptions === "object" && nameOrOptions !== null) return nameOrOptions + return { name: nameOrOptions, help, labelNames, ...extra } +} + +function labelsKey(labelNames, labels) { + const values = labelNames.map((name) => { + if (!(name in labels)) throw new TypeError(`Missing metric label: ${name}`) + return String(labels[name]) + }) + return JSON.stringify(values) +} + +function formatLabels(labelNames, values, additional) { + const pairs = labelNames.map((name, index) => `${name}="${escapeLabel(values[index])}"`) + if (additional) pairs.push(`${additional.name}="${escapeLabel(additional.value)}"`) + return pairs.length ? `{${pairs.join(",")}}` : "" +} + +class Metric { + constructor(registry, options, type) { + const { name, help, labelNames = [] } = options + assertMetricName(name) + assertLabelNames(labelNames) + if (!help) throw new TypeError(`Metric ${name} requires help text`) + this.name = name + this.help = String(help) + this.labelNames = [...labelNames] + this.type = type + this.values = new Map() + registry._register(this) + } + + _entry(labels = {}, create) { + const key = labelsKey(this.labelNames, labels) + let entry = this.values.get(key) + if (!entry && create) { + entry = create(this.labelNames.map((name) => String(labels[name]))) + this.values.set(key, entry) + } + return entry + } + + reset() { + this.values.clear() + if (this.labelNames.length === 0) this._initialize() + } + + _entries() { + return [...this.values.entries()].sort(([a], [b]) => a.localeCompare(b)).map(([, entry]) => entry) + } +} + +class Counter extends Metric { + constructor(registry, options) { + super(registry, options, "counter") + this._initialize() + } + + _initialize() { + if (this.labelNames.length === 0) this._entry({}, (labels) => ({ labels, value: 0 })) + } + + inc(labels = {}, amount = 1) { + if (typeof labels === "number") [amount, labels] = [labels, {}] + if (!Number.isFinite(amount) || amount < 0) throw new RangeError("Counter increments must be finite and non-negative") + this._entry(labels, (values) => ({ labels: values, value: 0 })).value += amount + } + + _serialize() { + return this._entries().map((entry) => + `${this.name}${formatLabels(this.labelNames, entry.labels)} ${number(entry.value)}`) + } +} + +class Gauge extends Metric { + constructor(registry, options) { + super(registry, options, "gauge") + this._initialize() + } + + _initialize() { + if (this.labelNames.length === 0) this._entry({}, (labels) => ({ labels, value: 0 })) + } + + set(labels = {}, value) { + if (typeof labels === "number") [value, labels] = [labels, {}] + if (!Number.isFinite(value)) throw new RangeError("Gauge values must be finite") + this._entry(labels, (values) => ({ labels: values, value: 0 })).value = value + } + + inc(labels = {}, amount = 1) { + if (typeof labels === "number") [amount, labels] = [labels, {}] + if (!Number.isFinite(amount)) throw new RangeError("Gauge increments must be finite") + this._entry(labels, (values) => ({ labels: values, value: 0 })).value += amount + } + + dec(labels = {}, amount = 1) { + if (typeof labels === "number") [amount, labels] = [labels, {}] + this.inc(labels, -amount) + } + + _serialize() { + return this._entries().map((entry) => + `${this.name}${formatLabels(this.labelNames, entry.labels)} ${number(entry.value)}`) + } +} + +class Histogram extends Metric { + constructor(registry, options) { + super(registry, options, "histogram") + const buckets = options.buckets ?? DEFAULT_DURATION_BUCKETS + if (!Array.isArray(buckets) || buckets.length === 0 || buckets.some((value) => !Number.isFinite(value))) { + throw new TypeError("Histogram buckets must be a non-empty array of finite numbers") + } + this.buckets = [...new Set(buckets)].sort((a, b) => a - b) + this._initialize() + } + + _initialize() { + if (this.labelNames.length === 0) { + this._entry({}, (labels) => ({ labels, count: 0, sum: 0, buckets: this.buckets.map(() => 0) })) + } + } + + observe(labels = {}, value) { + if (typeof labels === "number") [value, labels] = [labels, {}] + if (!Number.isFinite(value)) throw new RangeError("Histogram observations must be finite") + const entry = this._entry(labels, (values) => ({ + labels: values, + count: 0, + sum: 0, + buckets: this.buckets.map(() => 0), + })) + entry.count++ + entry.sum += value + this.buckets.forEach((upperBound, index) => { + if (value <= upperBound) entry.buckets[index]++ + }) + } + + _serialize() { + const lines = [] + for (const entry of this._entries()) { + this.buckets.forEach((upperBound, index) => { + lines.push(`${this.name}_bucket${formatLabels(this.labelNames, entry.labels, { name: "le", value: number(upperBound) })} ${entry.buckets[index]}`) + }) + lines.push(`${this.name}_bucket${formatLabels(this.labelNames, entry.labels, { name: "le", value: "+Inf" })} ${entry.count}`) + lines.push(`${this.name}_sum${formatLabels(this.labelNames, entry.labels)} ${number(entry.sum)}`) + lines.push(`${this.name}_count${formatLabels(this.labelNames, entry.labels)} ${entry.count}`) + } + return lines + } +} + +export function createRegistry() { + const metrics = new Map() + return { + _register(metric) { + if (metrics.has(metric.name)) throw new Error(`Metric already registered: ${metric.name}`) + metrics.set(metric.name, metric) + }, + counter(nameOrOptions, help, labelNames) { + return new Counter(this, normalizeDefinition(nameOrOptions, help, labelNames)) + }, + gauge(nameOrOptions, help, labelNames) { + return new Gauge(this, normalizeDefinition(nameOrOptions, help, labelNames)) + }, + histogram(nameOrOptions, help, labelNames, buckets) { + return new Histogram(this, normalizeDefinition(nameOrOptions, help, labelNames, { buckets })) + }, + reset() { + for (const metric of metrics.values()) metric.reset() + }, + metrics() { + const lines = [] + for (const metric of [...metrics.values()].sort((a, b) => a.name.localeCompare(b.name))) { + lines.push(`# HELP ${metric.name} ${escapeHelp(metric.help)}`) + lines.push(`# TYPE ${metric.name} ${metric.type}`) + lines.push(...metric._serialize()) + } + return `${lines.join("\n")}\n` + }, + } +} + +export function normalizeRoute(pathOrUrl) { + let pathname = String(pathOrUrl ?? "") + try { + pathname = new URL(pathname, "http://metrics.invalid").pathname + } catch { + return ROUTES.unknown + } + if (FIXED_ROUTES.has(pathname) && pathname !== ROUTES.unknown) return pathname + if (/^\/v1beta\/models\/.+:generateContent$/.test(pathname)) return ROUTES.geminiGenerate + if (/^\/v1beta\/models\/.+:streamGenerateContent$/.test(pathname)) return ROUTES.geminiStreamGenerate + return ROUTES.unknown +} + +function bounded(value, allowed) { + const normalized = String(value ?? "").toLowerCase() + return allowed.has(normalized) ? normalized : "other" +} + +function nonNegative(value, field) { + if (!Number.isFinite(value) || value < 0) throw new RangeError(`${field} must be finite and non-negative`) + return value +} + +export function createMetrics() { + const registry = createRegistry() + const httpRequests = registry.counter({ name: "opencode_proxy_http_requests_total", help: "Completed HTTP requests.", labelNames: ["method", "route", "status"] }) + const httpDuration = registry.histogram({ name: "opencode_proxy_http_request_duration_seconds", help: "HTTP request completion duration in seconds.", labelNames: ["method", "route", "status"] }) + const activeRequests = registry.gauge({ name: "opencode_proxy_active_requests", help: "Requests currently being processed." }) + const queuedRequests = registry.gauge({ name: "opencode_proxy_queued_requests", help: "Requests waiting for a processing slot." }) + const upstreamAttempts = registry.counter({ name: "opencode_proxy_upstream_attempts_total", help: "Upstream request attempts by outcome.", labelNames: ["outcome"] }) + const tokens = registry.counter({ name: "opencode_proxy_tokens_total", help: "Model tokens processed by direction.", labelNames: ["direction"] }) + const mediaRequests = registry.counter({ name: "opencode_proxy_remote_media_requests_total", help: "Remote media fetches by outcome.", labelNames: ["outcome"] }) + const mediaBytes = registry.counter({ name: "opencode_proxy_remote_media_bytes_total", help: "Bytes received from successful remote media fetches." }) + const mediaRedirects = registry.counter({ name: "opencode_proxy_remote_media_redirects_total", help: "Redirects followed while fetching remote media." }) + const mediaInFlight = registry.gauge({ name: "opencode_proxy_remote_media_in_flight", help: "Remote media fetches currently in flight." }) + const mediaDuration = registry.histogram({ name: "opencode_proxy_remote_media_duration_seconds", help: "Remote media fetch duration in seconds.", labelNames: ["outcome"] }) + + function httpLabels({ method, route, pathname, status }) { + const normalizedMethod = String(method ?? "").toUpperCase() + const numericStatus = Number(status) + return { + method: METHODS.has(normalizedMethod) ? normalizedMethod : "OTHER", + route: normalizeRoute(route ?? pathname), + status: Number.isInteger(numericStatus) && numericStatus >= 100 && numericStatus <= 599 ? String(numericStatus) : "unknown", + } + } + + return { + registry, + metrics: () => registry.metrics(), + serialize: () => registry.metrics(), + reset: () => registry.reset(), + recordHttpCompletion(details) { + const labels = httpLabels(details) + const duration = details.durationSeconds ?? (details.durationMs === undefined ? undefined : details.durationMs / 1000) + nonNegative(duration, "duration") + httpRequests.inc(labels) + httpDuration.observe(labels, duration) + }, + incActiveRequests(amount = 1) { activeRequests.inc(nonNegative(amount, "amount")) }, + decActiveRequests(amount = 1) { activeRequests.dec(nonNegative(amount, "amount")) }, + setActiveRequests(value) { activeRequests.set(nonNegative(value, "active requests")) }, + incQueuedRequests(amount = 1) { queuedRequests.inc(nonNegative(amount, "amount")) }, + decQueuedRequests(amount = 1) { queuedRequests.dec(nonNegative(amount, "amount")) }, + setQueuedRequests(value) { queuedRequests.set(nonNegative(value, "queued requests")) }, + recordUpstreamAttempt(outcome) { upstreamAttempts.inc({ outcome: bounded(outcome, UPSTREAM_OUTCOMES) }) }, + recordTokens({ input = 0, output = 0 }) { + tokens.inc({ direction: "input" }, nonNegative(input, "input tokens")) + tokens.inc({ direction: "output" }, nonNegative(output, "output tokens")) + }, + startRemoteMedia() { + mediaInFlight.inc() + let finished = false + return ({ outcome, bytes = 0, redirects = 0, durationSeconds, durationMs } = {}) => { + if (finished) return + finished = true + mediaInFlight.dec() + this.recordRemoteMedia({ outcome, bytes, redirects, durationSeconds, durationMs }) + } + }, + recordRemoteMedia({ outcome, bytes = 0, redirects = 0, durationSeconds, durationMs }) { + const normalizedOutcome = bounded(outcome, MEDIA_OUTCOMES) + const duration = durationSeconds ?? (durationMs === undefined ? undefined : durationMs / 1000) + nonNegative(bytes, "remote media bytes") + nonNegative(redirects, "remote media redirects") + nonNegative(duration, "duration") + mediaRequests.inc({ outcome: normalizedOutcome }) + mediaBytes.inc(bytes) + mediaRedirects.inc(redirects) + mediaDuration.observe({ outcome: normalizedOutcome }, duration) + }, + } +} + +let defaultMetrics = createMetrics() + +export function getMetrics() { + return defaultMetrics +} + +export function resetMetrics() { + defaultMetrics = createMetrics() + return defaultMetrics +} diff --git a/metrics.test.js b/metrics.test.js new file mode 100644 index 0000000..3c9894a --- /dev/null +++ b/metrics.test.js @@ -0,0 +1,160 @@ +import test, { beforeEach, describe } from "node:test" +import assert from "node:assert/strict" + +import { ROUTES, createMetrics, createRegistry, getMetrics, normalizeRoute, resetMetrics } from "./metrics.js" + +describe("route normalization", () => { + test("keeps every fixed proxy endpoint", () => { + for (const route of [ROUTES.health, ROUTES.models, ROUTES.chatCompletions, ROUTES.responses, ROUTES.messages]) { + assert.equal(normalizeRoute(route), route) + } + }) + + test("removes Gemini model cardinality and query strings", () => { + assert.equal(normalizeRoute("/v1beta/models/gemini-2.5-pro:generateContent?key=secret"), ROUTES.geminiGenerate) + assert.equal(normalizeRoute("https://localhost/v1beta/models/team%2Fmodel:streamGenerateContent"), ROUTES.geminiStreamGenerate) + assert.equal(normalizeRoute("/v1beta/models/publisher/model:generateContent"), ROUTES.geminiGenerate) + }) + + test("maps arbitrary and malformed paths to unknown", () => { + assert.equal(normalizeRoute("/users/customer-123"), ROUTES.unknown) + assert.equal(normalizeRoute("http://[invalid"), ROUTES.unknown) + }) +}) + +describe("registry", () => { + test("serializes counters, gauges, and cumulative histogram buckets deterministically", () => { + const registry = createRegistry() + const histogram = registry.histogram({ name: "z_duration_seconds", help: "A duration.", labelNames: ["kind"], buckets: [5, 1, 2, 2] }) + const counter = registry.counter("a_total", "A counter.", ["result"]) + const gauge = registry.gauge("m_active", "An active gauge.") + + histogram.observe({ kind: "read" }, 1.5) + histogram.observe({ kind: "read" }, 5) + counter.inc({ result: "ok" }, 2) + gauge.set(3) + + assert.equal(registry.metrics(), `# HELP a_total A counter. +# TYPE a_total counter +a_total{result="ok"} 2 +# HELP m_active An active gauge. +# TYPE m_active gauge +m_active 3 +# HELP z_duration_seconds A duration. +# TYPE z_duration_seconds histogram +z_duration_seconds_bucket{kind="read",le="1"} 0 +z_duration_seconds_bucket{kind="read",le="2"} 1 +z_duration_seconds_bucket{kind="read",le="5"} 2 +z_duration_seconds_bucket{kind="read",le="+Inf"} 2 +z_duration_seconds_sum{kind="read"} 6.5 +z_duration_seconds_count{kind="read"} 2 +`) + }) + + test("escapes HELP and label text", () => { + const registry = createRegistry() + const counter = registry.counter({ name: "escaped_total", help: "line\\one\ntwo", labelNames: ["value"] }) + counter.inc({ value: 'quote" slash\\ newline\n' }) + assert.match(registry.metrics(), /# HELP escaped_total line\\\\one\\ntwo/) + assert.match(registry.metrics(), /value="quote\\" slash\\\\ newline\\n"/) + assert.ok(registry.metrics().endsWith("\n")) + }) + + test("sorts labeled samples independently of recording order", () => { + const registry = createRegistry() + const counter = registry.counter("ordered_total", "Ordered.", ["result"]) + counter.inc({ result: "z" }) + counter.inc({ result: "a" }) + const output = registry.metrics() + assert.ok(output.indexOf('result="a"') < output.indexOf('result="z"')) + }) + + test("resets samples while preserving definitions and zero-value unlabeled metrics", () => { + const registry = createRegistry() + const counter = registry.counter("events_total", "Events.", ["kind"]) + registry.gauge("active", "Active.").set(4) + counter.inc({ kind: "temporary" }) + registry.reset() + assert.doesNotMatch(registry.metrics(), /temporary/) + assert.match(registry.metrics(), /active 0\n/) + }) + + test("rejects invalid definitions and observations", () => { + const registry = createRegistry() + assert.throws(() => registry.counter("bad-name", "Bad."), /Invalid metric name/) + assert.throws(() => registry.counter("valid", "Valid.", ["le"]), /Invalid metric label/) + const counter = registry.counter("count_total", "Count.") + assert.throws(() => counter.inc(-1), /non-negative/) + const histogram = registry.histogram({ name: "duration", help: "Duration.", buckets: [1] }) + assert.throws(() => histogram.observe(Infinity), /finite/) + }) +}) + +describe("proxy metrics", () => { + let metrics + + beforeEach(() => { + metrics = createMetrics() + }) + + test("records HTTP status and duration using bounded labels", () => { + metrics.recordHttpCompletion({ method: "post", pathname: "/v1/chat/completions?trace=user-id", status: 200, durationMs: 250 }) + metrics.recordHttpCompletion({ method: "TRACE", route: "/private/abc", status: 999, durationSeconds: 1 }) + const output = metrics.metrics() + assert.match(output, /opencode_proxy_http_requests_total\{method="POST",route="\/v1\/chat\/completions",status="200"\} 1/) + assert.match(output, /opencode_proxy_http_request_duration_seconds_sum\{method="POST",route="\/v1\/chat\/completions",status="200"\} 0\.25/) + assert.match(output, /method="OTHER",route="unknown",status="unknown"/) + assert.doesNotMatch(output, /trace|user-id|private|abc/) + }) + + test("tracks active and queued requests", () => { + metrics.incActiveRequests(2) + metrics.decActiveRequests() + metrics.setQueuedRequests(3) + metrics.decQueuedRequests(2) + const output = metrics.serialize() + assert.match(output, /opencode_proxy_active_requests 1\n/) + assert.match(output, /opencode_proxy_queued_requests 1\n/) + }) + + test("records bounded upstream outcomes and token directions", () => { + metrics.recordUpstreamAttempt("success") + metrics.recordUpstreamAttempt("provider-user-123") + metrics.recordTokens({ input: 12, output: 5 }) + const output = metrics.metrics() + assert.match(output, /opencode_proxy_upstream_attempts_total\{outcome="success"\} 1/) + assert.match(output, /opencode_proxy_upstream_attempts_total\{outcome="other"\} 1/) + assert.match(output, /opencode_proxy_tokens_total\{direction="input"\} 12/) + assert.match(output, /opencode_proxy_tokens_total\{direction="output"\} 5/) + assert.doesNotMatch(output, /provider-user-123/) + }) + + test("records remote-media completion, bytes, redirects, duration, and in-flight state", () => { + const finish = metrics.startRemoteMedia() + assert.match(metrics.metrics(), /opencode_proxy_remote_media_in_flight 1\n/) + finish({ outcome: "success", bytes: 2048, redirects: 2, durationMs: 125 }) + finish({ outcome: "error", bytes: 10, durationMs: 10 }) + const output = metrics.metrics() + assert.match(output, /opencode_proxy_remote_media_in_flight 0\n/) + assert.match(output, /opencode_proxy_remote_media_requests_total\{outcome="success"\} 1/) + assert.match(output, /opencode_proxy_remote_media_bytes_total 2048/) + assert.match(output, /opencode_proxy_remote_media_redirects_total 2/) + assert.match(output, /opencode_proxy_remote_media_duration_seconds_sum\{outcome="success"\} 0\.125/) + }) + + test("rejects negative domain values", () => { + assert.throws(() => metrics.setActiveRequests(-1), /non-negative/) + assert.throws(() => metrics.recordTokens({ input: -1 }), /non-negative/) + assert.throws(() => metrics.recordRemoteMedia({ outcome: "success", bytes: -1, durationMs: 1 }), /non-negative/) + }) + + test("create and reset APIs isolate state", () => { + const first = resetMetrics() + first.recordUpstreamAttempt("success") + const second = resetMetrics() + assert.notEqual(first, second) + assert.equal(getMetrics(), second) + assert.doesNotMatch(second.metrics(), /outcome="success"/) + assert.match(first.metrics(), /outcome="success"/) + }) +}) diff --git a/package-lock.json b/package-lock.json index 15791a6..3ce790b 100644 --- a/package-lock.json +++ b/package-lock.json @@ -10,6 +10,7 @@ "license": "MIT", "devDependencies": { "@eslint/js": "^10.0.1", + "esbuild": "^0.28.1", "eslint": "^10.1.0" }, "engines": { @@ -20,6 +21,448 @@ "opencode-ai": ">=1.0.0 <2" } }, + "node_modules/@esbuild/aix-ppc64": { + "version": "0.28.1", + "resolved": "https://registry.npmjs.org/@esbuild/aix-ppc64/-/aix-ppc64-0.28.1.tgz", + "integrity": "sha512-Svl7tq8k/08+p6CXPpRjQ1fKX+1odH/BQbb48fV6fj3CWHhsoIOoY87w1oHXm0qEpkIK3ZfVgp0hed3XBXzXMQ==", + "cpu": [ + "ppc64" + ], + "dev": true, + "license": "MIT", + "optional": true, + "os": [ + "aix" + ], + "engines": { + "node": ">=18" + } + }, + "node_modules/@esbuild/android-arm": { + "version": "0.28.1", + "resolved": "https://registry.npmjs.org/@esbuild/android-arm/-/android-arm-0.28.1.tgz", + "integrity": 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true, + "os": [ + "win32" + ], + "engines": { + "node": ">=18" + } + }, + "node_modules/@esbuild/win32-x64": { + "version": "0.28.1", + "resolved": "https://registry.npmjs.org/@esbuild/win32-x64/-/win32-x64-0.28.1.tgz", + "integrity": "sha512-bm4Mowrv+GXMlpWX++EcXw/iLyd1o3+bJkC2DkWXYVvgZCqD/bSj9ctZeAMC3cIxgjRVR2Dufaiu4YPxr5gW1A==", + "cpu": [ + "x64" + ], + "dev": true, + "license": "MIT", + "optional": true, + "os": [ + "win32" + ], + "engines": { + "node": ">=18" + } + }, "node_modules/@eslint-community/eslint-utils": { "version": "4.9.1", "dev": true, @@ -280,6 +723,48 @@ "dev": true, "license": "MIT" }, + "node_modules/esbuild": { + "version": "0.28.1", + "resolved": "https://registry.npmjs.org/esbuild/-/esbuild-0.28.1.tgz", + "integrity": "sha512-HrJrvZv5ayxBzPfwphOoNzkzOIIlifzk0KJrGK2c8R4+LKpMtpYLQeUdjnwjWv/LZlkH2laZk+4w78pi99D4Vw==", + "dev": true, + "hasInstallScript": true, + "license": "MIT", + "bin": { + "esbuild": "bin/esbuild" + }, + "engines": { + "node": ">=18" + }, + "optionalDependencies": { + "@esbuild/aix-ppc64": "0.28.1", + "@esbuild/android-arm": "0.28.1", + "@esbuild/android-arm64": "0.28.1", + "@esbuild/android-x64": "0.28.1", + "@esbuild/darwin-arm64": "0.28.1", + "@esbuild/darwin-x64": "0.28.1", + "@esbuild/freebsd-arm64": "0.28.1", + "@esbuild/freebsd-x64": "0.28.1", + "@esbuild/linux-arm": "0.28.1", + "@esbuild/linux-arm64": "0.28.1", + "@esbuild/linux-ia32": "0.28.1", + "@esbuild/linux-loong64": "0.28.1", + "@esbuild/linux-mips64el": "0.28.1", + "@esbuild/linux-ppc64": "0.28.1", + "@esbuild/linux-riscv64": "0.28.1", + "@esbuild/linux-s390x": "0.28.1", + "@esbuild/linux-x64": "0.28.1", + "@esbuild/netbsd-arm64": "0.28.1", + "@esbuild/netbsd-x64": "0.28.1", + "@esbuild/openbsd-arm64": "0.28.1", + "@esbuild/openbsd-x64": "0.28.1", + "@esbuild/openharmony-arm64": "0.28.1", + "@esbuild/sunos-x64": "0.28.1", + "@esbuild/win32-arm64": "0.28.1", + "@esbuild/win32-ia32": "0.28.1", + "@esbuild/win32-x64": "0.28.1" + } + }, "node_modules/escape-string-regexp": { "version": "4.0.0", "dev": true, diff --git a/package.json b/package.json index 0025c68..ab9eb2a 100644 --- a/package.json +++ b/package.json @@ -10,13 +10,21 @@ }, "files": [ "index.js", + "canonical-messages.js", + "metrics.js", + "remote-media.js", + "dist/llm-proxy.js", "mcp-tool-bridge.js", "README.md", "LICENSE", "docs/" ], "scripts": { + "build": "esbuild index.js --bundle --format=esm --platform=node --target=node20 --outfile=dist/llm-proxy.js", + "prepack": "npm run build", "test": "node --test --experimental-test-coverage", + "test:conformance": "node --test test/stream-conformance.test.js", + "test:integration": "node --test test/http-integration.test.js", "lint": "eslint ." }, "keywords": [ @@ -60,6 +68,7 @@ }, "devDependencies": { "@eslint/js": "^10.0.1", + "esbuild": "^0.28.1", "eslint": "^10.1.0" } } diff --git a/remote-media.js b/remote-media.js new file mode 100644 index 0000000..4520762 --- /dev/null +++ b/remote-media.js @@ -0,0 +1,432 @@ +import http from "node:http" +import https from "node:https" +import dns from "node:dns/promises" +import net from "node:net" +import { Buffer } from "node:buffer" + +export const DEFAULT_ACCEPTED_MIME_TYPES = Object.freeze([ + "image/avif", + "image/gif", + "image/jpeg", + "image/png", + "image/webp", + "audio/aac", + "audio/flac", + "audio/m4a", + "audio/mp4", + "audio/mpeg", + "audio/ogg", + "audio/wav", + "audio/webm", + "application/pdf", +]) + +export const REMOTE_MEDIA_DEFAULTS = Object.freeze({ + enabled: false, + allowedSchemes: Object.freeze(["https"]), + acceptedMimeTypes: DEFAULT_ACCEPTED_MIME_TYPES, + maxBytes: 10 * 1024 * 1024, + maxItems: 4, + maxTotalItems: 64, + maxRedirects: 3, + timeoutMs: 15_000, +}) + +export class MediaError extends Error { + constructor(message, status = 400, code = "invalid_media") { + super(message) + this.name = "MediaError" + this.status = status + this.code = code + } +} + +function fail(message, status, code) { + return new MediaError(message, status, code) +} + +function parseIPv4(address) { + if (net.isIP(address) !== 4) return null + const bytes = address.split(".").map(Number) + return bytes.length === 4 && bytes.every((byte) => Number.isInteger(byte) && byte >= 0 && byte <= 255) + ? Uint8Array.from(bytes) + : null +} + +function parseIPv6(address) { + if (typeof address !== "string" || address.includes("%") || net.isIP(address) !== 6) return null + let input = address.toLowerCase() + const embeddedAt = input.lastIndexOf(":") + if (input.includes(".")) { + const ipv4 = parseIPv4(input.slice(embeddedAt + 1)) + if (!ipv4) return null + input = `${input.slice(0, embeddedAt)}:${((ipv4[0] << 8) | ipv4[1]).toString(16)}:${((ipv4[2] << 8) | ipv4[3]).toString(16)}` + } + + const halves = input.split("::") + if (halves.length > 2) return null + const left = halves[0] ? halves[0].split(":") : [] + const right = halves.length === 2 && halves[1] ? halves[1].split(":") : [] + const missing = 8 - left.length - right.length + if ((halves.length === 1 && missing !== 0) || (halves.length === 2 && missing < 1)) return null + const words = [...left, ...Array(missing).fill("0"), ...right] + if (words.length !== 8 || words.some((word) => !/^[0-9a-f]{1,4}$/.test(word))) return null + const bytes = new Uint8Array(16) + words.forEach((word, index) => { + const value = Number.parseInt(word, 16) + bytes[index * 2] = value >> 8 + bytes[index * 2 + 1] = value & 255 + }) + return bytes +} + +export function parseIPAddress(address) { + const ipv4 = parseIPv4(address) + if (ipv4) return { family: 4, bytes: ipv4 } + const ipv6 = parseIPv6(address) + return ipv6 ? { family: 6, bytes: ipv6 } : null +} + +function matchesPrefix(bytes, prefix, bits) { + const whole = Math.floor(bits / 8) + const remainder = bits % 8 + for (let index = 0; index < whole; index += 1) { + if (bytes[index] !== prefix[index]) return false + } + if (!remainder) return true + const mask = (255 << (8 - remainder)) & 255 + return (bytes[whole] & mask) === (prefix[whole] & mask) +} + +export function addressInPrefix(address, cidr) { + const [prefixAddress, rawBits] = String(cidr).split("/") + const addressValue = parseIPAddress(address) + const prefixValue = parseIPAddress(prefixAddress) + const bits = Number(rawBits) + return Boolean(addressValue && prefixValue && addressValue.family === prefixValue.family + && Number.isInteger(bits) && bits >= 0 && bits <= addressValue.bytes.length * 8 + && matchesPrefix(addressValue.bytes, prefixValue.bytes, bits)) +} + +const BLOCKED_IPV4 = [ + "0.0.0.0/8", "10.0.0.0/8", "100.64.0.0/10", "127.0.0.0/8", "169.254.0.0/16", + "172.16.0.0/12", "192.0.0.0/24", "192.0.2.0/24", "192.88.99.0/24", "192.168.0.0/16", + "198.18.0.0/15", "198.51.100.0/24", "203.0.113.0/24", "224.0.0.0/4", "240.0.0.0/4", +] + +const BLOCKED_IPV6 = [ + "::/96", "64:ff9b::/96", "64:ff9b:1::/48", "100::/64", "2001::/32", "2001:2::/48", + "2001:10::/28", "2001:20::/28", "2001:db8::/32", "2002::/16", "3fff::/20", "5f00::/16", + "fc00::/7", "fe80::/10", "ff00::/8", +] + +function mappedIPv4(parsed) { + if (parsed.family !== 6) return null + const bytes = parsed.bytes + const mapped = bytes.slice(0, 10).every((byte) => byte === 0) && bytes[10] === 255 && bytes[11] === 255 + return mapped ? `${bytes[12]}.${bytes[13]}.${bytes[14]}.${bytes[15]}` : null +} + +export function isPublicIPAddress(address) { + const parsed = parseIPAddress(address) + if (!parsed) return false + const mapped = mappedIPv4(parsed) + if (mapped) return isPublicIPAddress(mapped) + const ranges = parsed.family === 4 ? BLOCKED_IPV4 : BLOCKED_IPV6 + return !ranges.some((cidr) => addressInPrefix(address, cidr)) +} + +function configuredSchemes(config) { + const schemes = config.allowedSchemes ?? REMOTE_MEDIA_DEFAULTS.allowedSchemes + if (!Array.isArray(schemes) || schemes.length === 0) throw fail("Remote media configuration is invalid.", 500, "invalid_config") + const normalized = schemes.map((scheme) => `${String(scheme).toLowerCase().replace(/:$/, "")}:`) + if (normalized.some((scheme) => scheme !== "http:" && scheme !== "https:")) { + throw fail("Remote media configuration is invalid.", 500, "invalid_config") + } + return normalized +} + +export function validateRemoteUrl(value, config = {}) { + let url + try { + url = new URL(value) + } catch { + throw fail("Remote media URL is invalid.", 400, "invalid_media_url") + } + if (!configuredSchemes(config).includes(url.protocol)) throw fail("Remote media URL scheme is not allowed.", 400, "invalid_media_url") + if (url.username || url.password) throw fail("Remote media URL credentials are not allowed.", 400, "invalid_media_url") + if (!url.hostname) throw fail("Remote media URL is invalid.", 400, "invalid_media_url") + return url +} + +function hostnameOf(url) { + return url.hostname.startsWith("[") ? url.hostname.slice(1, -1) : url.hostname +} + +export async function resolvePublicHost(hostname, lookup = dns.lookup) { + const literal = parseIPAddress(hostname) + const answers = literal + ? [{ address: hostname, family: literal.family }] + : await lookup(hostname, { all: true, verbatim: true }) + if (!Array.isArray(answers) || answers.length === 0) throw fail("Remote media host could not be resolved.", 502, "media_fetch_failed") + const normalized = answers.map((answer) => ({ address: answer.address, family: Number(answer.family) || net.isIP(answer.address) })) + if (normalized.some((answer) => !parseIPAddress(answer.address) || !isPublicIPAddress(answer.address))) { + throw fail("Remote media host is not public.", 400, "blocked_media_host") + } + return normalized +} + +function sameAddress(left, right) { + const a = parseIPAddress(left) + const b = parseIPAddress(right) + if (!a || !b) return false + const aMapped = mappedIPv4(a) + const bMapped = mappedIPv4(b) + if (aMapped || bMapped) return sameAddress(aMapped ?? left, bMapped ?? right) + return a.family === b.family && a.bytes.every((byte, index) => byte === b.bytes[index]) +} + +function metric(metrics, name, value = 1) { + if (!metrics) return + if (typeof metrics.increment === "function") metrics.increment(name, value) + else if (typeof metrics === "function") metrics(name, value) + else metrics[name] = (Number(metrics[name]) || 0) + value +} + +function integerOption(config, name, fallback, minimum = 0) { + const value = config[name] ?? fallback + if (!Number.isSafeInteger(value) || value < minimum) throw fail("Remote media configuration is invalid.", 500, "invalid_config") + return value +} + +function acceptedMime(contentType, configured) { + const mime = String(contentType ?? "").split(";", 1)[0].trim().toLowerCase() + const accepted = configured ?? REMOTE_MEDIA_DEFAULTS.acceptedMimeTypes + if (!Array.isArray(accepted) || !accepted.every((entry) => typeof entry === "string")) { + throw fail("Remote media configuration is invalid.", 500, "invalid_config") + } + const allowed = accepted.some((entry) => { + const pattern = entry.toLowerCase() + return pattern.endsWith("/*") ? mime.startsWith(pattern.slice(0, -1)) : mime === pattern + }) + if (!mime || !allowed) throw fail("Remote media type is not supported.", 415, "unsupported_media_type") + return mime +} + +function header(response, name) { + const value = response.headers?.[name] + return Array.isArray(value) ? value.join(",") : value +} + +function abortError(state) { + return state.timedOut + ? fail("Remote media download timed out.", 504, "media_timeout") + : fail("Remote media download was aborted.", 499, "media_aborted") +} + +function abortable(promise, signal, state) { + if (signal.aborted) return Promise.reject(abortError(state)) + return new Promise((resolve, reject) => { + const onAbort = () => reject(abortError(state)) + signal.addEventListener("abort", onAbort, { once: true }) + promise.then(resolve, reject).finally(() => signal.removeEventListener("abort", onAbort)) + }) +} + +async function readBody(response, maxBytes, metrics, signal, state) { + const rawLength = header(response, "content-length") + if (rawLength !== undefined) { + if (!/^\d+$/.test(String(rawLength)) || Number(rawLength) > maxBytes) { + response.destroy?.() + throw fail("Remote media is too large.", 413, "media_too_large") + } + } + const chunks = [] + let total = 0 + const onAbort = () => response.destroy?.(abortError(state)) + signal.addEventListener("abort", onAbort, { once: true }) + try { + for await (const chunk of response) { + const bytes = Buffer.isBuffer(chunk) ? chunk : Buffer.from(chunk) + total += bytes.length + if (total > maxBytes) { + response.destroy?.() + throw fail("Remote media is too large.", 413, "media_too_large") + } + chunks.push(bytes) + } + } catch (error) { + if (error instanceof MediaError) throw error + throw fail("Remote media could not be downloaded.", 502, "media_fetch_failed") + } finally { + signal.removeEventListener("abort", onAbort) + } + metric(metrics, "remoteMediaBytes", total) + return Buffer.concat(chunks, total) +} + +function responseFor(url, pin, signal, config, state) { + const dependencies = config.dependencies ?? {} + const request = url.protocol === "https:" + ? dependencies.httpsRequest ?? https.request + : dependencies.httpRequest ?? http.request + return new Promise((resolve, reject) => { + let settled = false + let onAbort + const finish = (callback, value) => { + if (settled) return + settled = true + signal.removeEventListener("abort", onAbort) + callback(value) + } + const pinnedLookup = (_hostname, options, callback) => { + if (options?.all) callback(null, [pin]) + else callback(null, pin.address, pin.family) + } + let req + try { + req = request(url, { + method: "GET", + agent: false, + signal, + lookup: pinnedLookup, + headers: { accept: "*/*", "accept-encoding": "identity" }, + }, (response) => { + const remoteAddress = response.socket?.remoteAddress + if (!remoteAddress || !sameAddress(remoteAddress, pin.address) || !isPublicIPAddress(remoteAddress)) { + response.destroy?.() + finish(reject, fail("Remote media connection was rejected.", 400, "blocked_media_host")) + return + } + finish(resolve, response) + }) + } catch { + finish(reject, fail("Remote media could not be downloaded.", 502, "media_fetch_failed")) + return + } + req.on("error", (error) => { + if (error instanceof MediaError) finish(reject, error) + else if (state.timedOut) finish(reject, fail("Remote media download timed out.", 504, "media_timeout")) + else if (signal.aborted) finish(reject, fail("Remote media download was aborted.", 499, "media_aborted")) + else finish(reject, fail("Remote media could not be downloaded.", 502, "media_fetch_failed")) + }) + onAbort = () => { + req.destroy?.() + finish(reject, abortError(state)) + } + signal.addEventListener("abort", onAbort, { once: true }) + if (signal.aborted) { + onAbort() + return + } + req.on("socket", (socket) => { + socket.once("connect", () => { + if (!sameAddress(socket.remoteAddress, pin.address) || !isPublicIPAddress(socket.remoteAddress)) { + req.destroy(fail("Remote media connection was rejected.", 400, "blocked_media_host")) + } + }) + }) + req.end() + }) +} + +async function download(initialUrl, signal, config, metrics, state) { + const maxRedirects = integerOption(config, "maxRedirects", REMOTE_MEDIA_DEFAULTS.maxRedirects) + const maxBytes = integerOption(config, "maxBytes", REMOTE_MEDIA_DEFAULTS.maxBytes, 1) + const lookup = config.dependencies?.lookup ?? dns.lookup + let url = initialUrl + for (let redirects = 0; ; redirects += 1) { + const answers = await abortable(resolvePublicHost(hostnameOf(url), lookup), signal, state).catch((error) => { + if (error instanceof MediaError) throw error + throw fail("Remote media host could not be resolved.", 502, "media_fetch_failed") + }) + const response = await responseFor(url, answers[0], signal, config, state) + const status = response.statusCode ?? 0 + if ([301, 302, 303, 307, 308].includes(status)) { + response.destroy?.() + if (redirects >= maxRedirects || !header(response, "location")) { + throw fail("Remote media redirect was rejected.", 502, "media_redirect_rejected") + } + let next + try { + next = validateRemoteUrl(new URL(header(response, "location"), url).href, config) + } catch (error) { + if (error instanceof MediaError) throw error + throw fail("Remote media redirect was rejected.", 502, "media_redirect_rejected") + } + if (url.protocol === "https:" && next.protocol !== "https:") { + throw fail("Remote media redirect was rejected.", 502, "media_redirect_rejected") + } + metric(metrics, "remoteMediaRedirects") + url = next + continue + } + if (status < 200 || status >= 300) { + response.destroy?.() + throw fail("Remote media server returned an invalid response.", 502, "media_fetch_failed") + } + const encoding = String(header(response, "content-encoding") ?? "identity").trim().toLowerCase() + if (encoding !== "identity") { + response.destroy?.() + throw fail("Encoded remote media is not supported.", 415, "unsupported_media_encoding") + } + let mime + try { + mime = acceptedMime(header(response, "content-type"), config.acceptedMimeTypes) + } catch (error) { + response.destroy?.() + throw error + } + const body = await readBody(response, maxBytes, metrics, signal, state) + return { mime, url: `data:${mime};base64,${body.toString("base64")}` } + } +} + +export async function prepareMedia(media, config = {}, signal, metrics) { + if (media == null) return [] + if (!Array.isArray(media)) throw fail("Media must be an array.", 400, "invalid_media") + const maxTotalItems = integerOption(config, "maxTotalItems", REMOTE_MEDIA_DEFAULTS.maxTotalItems) + if (media.length > maxTotalItems) throw fail("Too many media items.", 413, "too_many_media_items") + const remote = media.filter((item) => typeof item?.url === "string" && !item.url.startsWith("data:")) + const maxItems = integerOption(config, "maxItems", REMOTE_MEDIA_DEFAULTS.maxItems) + if (remote.length > maxItems) throw fail("Too many remote media items.", 413, "too_many_media_items") + if (media.some((item) => !item || typeof item.url !== "string")) throw fail("Media item is invalid.", 400, "invalid_media") + if (remote.length && config.enabled !== true) throw fail("Remote media is disabled.", 400, "remote_media_disabled") + if (!remote.length) return [...media] + + const timeoutMs = integerOption(config, "timeoutMs", REMOTE_MEDIA_DEFAULTS.timeoutMs, 1) + const dependencies = config.dependencies ?? {} + const controller = new AbortController() + const state = { timedOut: false } + const abortFromParent = () => controller.abort(signal?.reason) + if (signal?.aborted) abortFromParent() + else signal?.addEventListener("abort", abortFromParent, { once: true }) + const timer = (dependencies.setTimeout ?? setTimeout)(() => { + state.timedOut = true + controller.abort() + }, timeoutMs) + + const result = [] + try { + for (const item of media) { + if (item.url.startsWith("data:")) { + result.push(item) + continue + } + metric(metrics, "remoteMediaAttempts") + const prepared = await download(validateRemoteUrl(item.url, config), controller.signal, config, metrics, state) + result.push({ ...item, ...prepared }) + metric(metrics, "remoteMediaDownloads") + } + return result + } catch (error) { + metric(metrics, "remoteMediaFailures") + if (error instanceof MediaError) throw error + if (state.timedOut) throw fail("Remote media download timed out.", 504, "media_timeout") + if (controller.signal.aborted) throw fail("Remote media download was aborted.", 499, "media_aborted") + throw fail("Remote media could not be downloaded.", 502, "media_fetch_failed") + } finally { + (dependencies.clearTimeout ?? clearTimeout)(timer) + signal?.removeEventListener("abort", abortFromParent) + } +} diff --git a/remote-media.test.js b/remote-media.test.js new file mode 100644 index 0000000..4a92142 --- /dev/null +++ b/remote-media.test.js @@ -0,0 +1,246 @@ +import test from "node:test" +import assert from "node:assert/strict" +import { EventEmitter } from "node:events" +import { PassThrough } from "node:stream" + +import { + MediaError, + addressInPrefix, + isPublicIPAddress, + parseIPAddress, + prepareMedia, + resolvePublicHost, + validateRemoteUrl, +} from "./remote-media.js" + +const PUBLIC_V4 = "93.184.216.34" + +function fakeRequest(responses, requests = []) { + return (url, options, callback) => { + const request = new EventEmitter() + request.end = () => { + requests.push({ url: url.href, options }) + const spec = responses.shift() + if (spec?.error) { + process.nextTick(() => request.emit("error", spec.error)) + return + } + if (spec?.hang) return + const response = new PassThrough() + response.statusCode = spec.status ?? 200 + response.headers = spec.headers ?? { "content-type": "image/png" } + response.socket = { remoteAddress: spec.remoteAddress ?? PUBLIC_V4 } + process.nextTick(() => { + callback(response) + if (spec.body !== undefined) response.end(spec.body) + }) + } + request.destroy = (error) => process.nextTick(() => request.emit("error", error)) + return request + } +} + +function config(responses, overrides = {}) { + return { + enabled: true, + allowedSchemes: ["https", "http"], + dependencies: { + lookup: async () => [{ address: PUBLIC_V4, family: 4 }], + httpRequest: fakeRequest(responses), + httpsRequest: fakeRequest(responses), + }, + ...overrides, + } +} + +test("parses addresses and checks arbitrary prefixes", () => { + assert.equal(parseIPAddress("192.0.2.1").family, 4) + assert.equal(parseIPAddress("2001:db8::1").bytes.length, 16) + assert.equal(parseIPAddress("not-an-ip"), null) + assert.equal(addressInPrefix("10.2.3.4", "10.0.0.0/8"), true) + assert.equal(addressInPrefix("11.2.3.4", "10.0.0.0/8"), false) + assert.equal(addressInPrefix("2001:db8:1::1", "2001:db8::/32"), true) +}) + +test("rejects non-public IPv4 ranges", () => { + for (const address of [ + "0.1.2.3", "10.0.0.1", "100.64.0.1", "127.0.0.1", "169.254.1.1", "172.31.0.1", + "192.0.0.1", "192.0.2.1", "192.168.1.1", "198.18.0.1", "198.51.100.1", + "203.0.113.1", "224.0.0.1", "255.255.255.255", + ]) assert.equal(isPublicIPAddress(address), false, address) + assert.equal(isPublicIPAddress("8.8.8.8"), true) +}) + +test("rejects non-public, transition, and embedded IPv6 ranges", () => { + for (const address of [ + "::", "::1", "::ffff:127.0.0.1", "64:ff9b::0808:0808", "64:ff9b:1::1", "100::1", + "2001::1", "2001:2::1", "2001:db8::1", "2002:0808:0808::1", "3fff::1", + "fc00::1", "fd12::1", "fe80::1", "ff02::1", + ]) assert.equal(isPublicIPAddress(address), false, address) + assert.equal(isPublicIPAddress("2606:4700:4700::1111"), true) + assert.equal(isPublicIPAddress("::ffff:8.8.8.8"), true) +}) + +test("URL validation defaults to HTTPS and rejects credentials", () => { + assert.equal(validateRemoteUrl("https://example.com/a").hostname, "example.com") + assert.throws(() => validateRemoteUrl("http://example.com/a"), { code: "invalid_media_url" }) + assert.throws(() => validateRemoteUrl("https://user:secret@example.com/a"), { code: "invalid_media_url" }) + assert.equal(validateRemoteUrl("http://example.com", { allowedSchemes: ["http"] }).protocol, "http:") + assert.throws(() => validateRemoteUrl("ftp://example.com", { allowedSchemes: ["ftp"] }), { code: "invalid_config" }) +}) + +test("all DNS answers must be public", async () => { + await assert.rejects( + resolvePublicHost("example.test", async () => [ + { address: PUBLIC_V4, family: 4 }, + { address: "127.0.0.1", family: 4 }, + ]), + { code: "blocked_media_host" }, + ) + assert.deepEqual(await resolvePublicHost("8.8.8.8"), [{ address: "8.8.8.8", family: 4 }]) +}) + +test("data URLs pass through without enabling remote access", async () => { + const item = { type: "file", mime: "image/png", url: "data:image/png;base64,aGk=", filename: "x.png" } + const result = await prepareMedia([item], {}) + assert.deepEqual(result, [item]) + assert.equal(result[0], item) +}) + +test("remote media is opt-in and item count is bounded", async () => { + await assert.rejects(prepareMedia([{ url: "https://example.com/x" }], {}), { status: 400, code: "remote_media_disabled" }) + await assert.rejects(prepareMedia( + [{ url: "https://one.example/x" }, { url: "https://two.example/x" }], + { enabled: true, maxItems: 1 }, + ), { code: "too_many_media_items" }) + assert.equal((await prepareMedia([{ url: "data:,a" }, { url: "data:,b" }], { maxItems: 1 })).length, 2) + await assert.rejects( + prepareMedia([{ url: "data:,a" }, { url: "data:,b" }], { maxTotalItems: 1 }), + { code: "too_many_media_items" }, + ) +}) + +test("downloads sequentially, pins lookup, and converts to data URLs", async () => { + let active = 0 + let maximum = 0 + const seenLookups = [] + const request = (url, options, callback) => { + const req = new EventEmitter() + req.end = () => { + active += 1 + maximum = Math.max(maximum, active) + options.lookup("example.test", {}, (error, address, family) => seenLookups.push({ error, address, family })) + const response = new PassThrough() + response.statusCode = 200 + response.headers = { "content-type": "image/png; charset=binary", "content-encoding": "identity" } + response.socket = { remoteAddress: PUBLIC_V4 } + setTimeout(() => { + callback(response) + response.end("hello", () => { active -= 1 }) + }, 5) + } + req.destroy = (error) => req.emit("error", error) + return req + } + const metrics = {} + const result = await prepareMedia( + [{ url: "https://one.example/a", filename: "a" }, { url: "https://two.example/b" }], + config([], { dependencies: { lookup: async () => [{ address: PUBLIC_V4, family: 4 }], httpsRequest: request } }), + undefined, + metrics, + ) + assert.equal(maximum, 1) + assert.deepEqual(seenLookups.map(({ address, family }) => [address, family]), [[PUBLIC_V4, 4], [PUBLIC_V4, 4]]) + assert.equal(result[0].url, "data:image/png;base64,aGVsbG8=") + assert.equal(result[0].mime, "image/png") + assert.equal(result[0].filename, "a") + assert.equal(metrics.remoteMediaDownloads, 2) + assert.equal(metrics.remoteMediaBytes, 10) +}) + +test("rejects a socket peer different from the DNS pin", async () => { + await assert.rejects( + prepareMedia([{ url: "https://example.test/a" }], config([{ remoteAddress: "8.8.8.8", body: "x" }])), + { code: "blocked_media_host" }, + ) +}) + +test("follows bounded redirects but rejects HTTPS downgrade", async () => { + const requests = [] + const responses = [ + { status: 302, headers: { location: "/final" }, body: "" }, + { headers: { "content-type": "image/jpeg" }, body: "ok" }, + ] + const cfg = config([], { + dependencies: { + lookup: async () => [{ address: PUBLIC_V4, family: 4 }], + httpsRequest: fakeRequest(responses, requests), + }, + }) + const result = await prepareMedia([{ url: "https://example.test/start" }], cfg) + assert.equal(result[0].url, "data:image/jpeg;base64,b2s=") + assert.deepEqual(requests.map((entry) => entry.url), ["https://example.test/start", "https://example.test/final"]) + + await assert.rejects( + prepareMedia([{ url: "https://example.test/start" }], config([ + { status: 302, headers: { location: "http://example.test/final" }, body: "" }, + ])), + { code: "media_redirect_rejected" }, + ) +}) + +test("enforces redirect limits", async () => { + await assert.rejects( + prepareMedia([{ url: "https://example.test/a" }], config([ + { status: 302, headers: { location: "/b" }, body: "" }, + ], { maxRedirects: 0 })), + { code: "media_redirect_rejected" }, + ) +}) + +test("rejects unsupported MIME and content encoding", async () => { + await assert.rejects( + prepareMedia([{ url: "https://example.test/a" }], config([{ headers: { "content-type": "text/html" }, body: "x" }])), + { status: 415, code: "unsupported_media_type" }, + ) + await assert.rejects( + prepareMedia([{ url: "https://example.test/a" }], config([{ headers: { "content-type": "image/png", "content-encoding": "gzip" }, body: "x" }])), + { code: "unsupported_media_encoding" }, + ) +}) + +test("enforces declared and streamed size limits", async () => { + await assert.rejects( + prepareMedia([{ url: "https://example.test/a" }], config([{ headers: { "content-type": "image/png", "content-length": "9" }, body: "" }], { maxBytes: 4 })), + { status: 413, code: "media_too_large" }, + ) + await assert.rejects( + prepareMedia([{ url: "https://example.test/a" }], config([{ headers: { "content-type": "image/png" }, body: "12345" }], { maxBytes: 4 })), + { status: 413, code: "media_too_large" }, + ) +}) + +test("applies one total timeout and propagates parent abort safely", async () => { + await assert.rejects( + prepareMedia([{ url: "https://example.test/a" }], config([{ hang: true }], { timeoutMs: 10 })), + { status: 504, code: "media_timeout" }, + ) + + const controller = new AbortController() + controller.abort(new Error("private reason")) + const error = await prepareMedia([{ url: "https://example.test/a" }], config([{ hang: true }]), controller.signal) + .then(() => null, (caught) => caught) + assert.ok(error instanceof MediaError) + assert.equal(error.code, "media_aborted") + assert.doesNotMatch(error.message, /private reason/) +}) + +test("total timeout includes DNS resolution", async () => { + await assert.rejects( + prepareMedia([{ url: "https://example.test/a" }], config([], { + timeoutMs: 10, + dependencies: { lookup: async () => new Promise(() => {}) }, + })), + { status: 504, code: "media_timeout" }, + ) +}) diff --git a/test/fixtures/streams/anthropic.json b/test/fixtures/streams/anthropic.json new file mode 100644 index 0000000..5eca368 --- /dev/null +++ b/test/fixtures/streams/anthropic.json @@ -0,0 +1,22 @@ +{ + "text": [ + { "event": "message_start", "data": { "type": "message_start", "message": { "id": "", "type": "message", "role": "assistant", "content": [], "model": "test/anthropic-model", "stop_reason": null, "stop_sequence": null, "usage": { "input_tokens": 0, "output_tokens": 0 } } } }, + { "event": "content_block_start", "data": { "type": "content_block_start", "index": 0, "content_block": { "type": "text", "text": "" } } }, + { "event": "content_block_delta", "data": { "type": "content_block_delta", "index": 0, "delta": { "type": "text_delta", "text": "Hello" } } }, + { "event": "content_block_delta", "data": { "type": "content_block_delta", "index": 0, "delta": { "type": "text_delta", "text": " world" } } }, + { "event": "content_block_stop", "data": { "type": "content_block_stop", "index": 0 } }, + { "event": "message_delta", "data": { "type": "message_delta", "delta": { "stop_reason": "end_turn", "stop_sequence": null }, "usage": { "output_tokens": 4 } } }, + { "event": "message_stop", "data": { "type": "message_stop" } } + ], + "parallelTools": [ + { "event": "message_start", "data": { "type": "message_start", "message": { "id": "", "type": "message", "role": "assistant", "content": [], "model": "test/anthropic-model", "stop_reason": null, "stop_sequence": null, "usage": { "input_tokens": 0, "output_tokens": 0 } } } }, + { "event": "content_block_start", "data": { "type": "content_block_start", "index": 0, "content_block": { "type": "tool_use", "id": "call_weather", "name": "get_weather", "input": {} } } }, + { "event": "content_block_delta", "data": { "type": "content_block_delta", "index": 0, "delta": { "type": "input_json_delta", "partial_json": "{\"city\":\"Paris\"}" } } }, + { "event": "content_block_stop", "data": { "type": "content_block_stop", "index": 0 } }, + { "event": "content_block_start", "data": { "type": "content_block_start", "index": 1, "content_block": { "type": "tool_use", "id": "call_time", "name": "get_time", "input": {} } } }, + { "event": "content_block_delta", "data": { "type": "content_block_delta", "index": 1, "delta": { "type": "input_json_delta", "partial_json": "{\"timezone\":\"Europe/Paris\"}" } } }, + { "event": "content_block_stop", "data": { "type": "content_block_stop", "index": 1 } }, + { "event": "message_delta", "data": { "type": "message_delta", "delta": { "stop_reason": "tool_use", "stop_sequence": null }, "usage": { "output_tokens": 4 } } }, + { "event": "message_stop", "data": { "type": "message_stop" } } + ] +} diff --git a/test/fixtures/streams/gemini.json b/test/fixtures/streams/gemini.json new file mode 100644 index 0000000..877ee66 --- /dev/null +++ b/test/fixtures/streams/gemini.json @@ -0,0 +1,11 @@ +{ + "text": [ + { "candidates": [{ "content": { "role": "model", "parts": [{ "text": "Hello" }] }, "finishReason": "STOP", "index": 0 }], "usageMetadata": { "promptTokenCount": 0, "candidatesTokenCount": 0, "totalTokenCount": 0 } }, + { "candidates": [{ "content": { "role": "model", "parts": [{ "text": " world" }] }, "finishReason": "STOP", "index": 0 }], "usageMetadata": { "promptTokenCount": 0, "candidatesTokenCount": 0, "totalTokenCount": 0 } }, + { "candidates": [{ "content": { "role": "model", "parts": [{ "text": "" }] }, "finishReason": "STOP", "index": 0 }], "usageMetadata": { "promptTokenCount": 11, "candidatesTokenCount": 4, "totalTokenCount": 15 } } + ], + "parallelTools": [ + { "candidates": [{ "content": { "role": "model", "parts": [{ "functionCall": { "name": "get_weather", "args": { "city": "Paris" } } }, { "functionCall": { "name": "get_time", "args": { "timezone": "Europe/Paris" } } }] }, "finishReason": "STOP", "index": 0 }], "usageMetadata": { "promptTokenCount": 0, "candidatesTokenCount": 0, "totalTokenCount": 0 } }, + { "candidates": [{ "content": { "role": "model", "parts": [{ "text": "" }] }, "finishReason": "STOP", "index": 0 }], "usageMetadata": { "promptTokenCount": 11, "candidatesTokenCount": 4, "totalTokenCount": 15 } } + ] +} diff --git a/test/fixtures/streams/openai-chat.json b/test/fixtures/streams/openai-chat.json new file mode 100644 index 0000000..c18c5b5 --- /dev/null +++ b/test/fixtures/streams/openai-chat.json @@ -0,0 +1,13 @@ +{ + "text": [ + { "id": "", "object": "chat.completion.chunk", "created": "", "model": "test/chat-model", "choices": [{ "index": 0, "delta": { "role": "assistant", "content": "Hello" }, "finish_reason": null }] }, + { "id": "", "object": "chat.completion.chunk", "created": "", "model": "test/chat-model", "choices": [{ "index": 0, "delta": { "role": "assistant", "content": " world" }, "finish_reason": null }] }, + { "id": "", "object": "chat.completion.chunk", "created": "", "model": "test/chat-model", "choices": [{ "index": 0, "delta": {}, "finish_reason": "stop" }], "usage": { "prompt_tokens": 11, "completion_tokens": 4, "total_tokens": 15 } }, + { "done": true } + ], + "parallelTools": [ + { "id": "", "object": "chat.completion.chunk", "created": "", "model": "test/chat-model", "choices": [{ "index": 0, "delta": { "role": "assistant", "tool_calls": [{ "index": 0, "id": "call_weather", "type": "function", "function": { "name": "get_weather", "arguments": "{\"city\":\"Paris\"}" } }, { "index": 1, "id": "call_time", "type": "function", "function": { "name": "get_time", "arguments": "{\"timezone\":\"Europe/Paris\"}" } }] }, "finish_reason": null }] }, + { "id": "", "object": "chat.completion.chunk", "created": "", "model": "test/chat-model", "choices": [{ "index": 0, "delta": {}, "finish_reason": "tool_calls" }], "usage": { "prompt_tokens": 11, "completion_tokens": 4, "total_tokens": 15 } }, + { "done": true } + ] +} diff --git a/test/fixtures/streams/openai-responses.json b/test/fixtures/streams/openai-responses.json new file mode 100644 index 0000000..09009c4 --- /dev/null +++ b/test/fixtures/streams/openai-responses.json @@ -0,0 +1,25 @@ +{ + "text": [ + { "event": "response.created", "data": { "type": "response.created", "response": { "id": "", "object": "response", "created_at": "", "status": "in_progress", "model": "test/responses-model", "output": [] } } }, + { "event": "response.output_item.added", "data": { "type": "response.output_item.added", "output_index": 0, "item": { "id": "", "type": "message", "status": "in_progress", "role": "assistant", "content": [] } } }, + { "event": "response.content_part.added", "data": { "type": "response.content_part.added", "item_id": "", "output_index": 0, "content_index": 0, "part": { "type": "output_text", "text": "", "annotations": [] } } }, + { "event": "response.output_text.delta", "data": { "type": "response.output_text.delta", "item_id": "", "output_index": 0, "content_index": 0, "delta": "Hello" } }, + { "event": "response.output_text.delta", "data": { "type": "response.output_text.delta", "item_id": "", "output_index": 0, "content_index": 0, "delta": " world" } }, + { "event": "response.output_text.done", "data": { "type": "response.output_text.done", "item_id": "", "output_index": 0, "content_index": 0, "text": "Hello world" } }, + { "event": "response.content_part.done", "data": { "type": "response.content_part.done", "item_id": "", "output_index": 0, "content_index": 0, "part": { "type": "output_text", "text": "Hello world", "annotations": [] } } }, + { "event": "response.output_item.done", "data": { "type": "response.output_item.done", "output_index": 0, "item": { "id": "", "type": "message", "status": "completed", "role": "assistant" } } }, + { "event": "response.completed", "data": { "type": "response.completed", "response": { "id": "", "object": "response", "created_at": "", "status": "completed", "model": "test/responses-model", "usage": { "input_tokens": 11, "output_tokens": 4, "total_tokens": 15 } } } } + ], + "parallelTools": [ + { "event": "response.created", "data": { "type": "response.created", "response": { "id": "", "object": "response", "created_at": "", "status": "in_progress", "model": "test/responses-model", "output": [] } } }, + { "event": "response.output_item.added", "data": { "type": "response.output_item.added", "output_index": 0, "item": { "id": "", "type": "function_call", "status": "in_progress", "call_id": "call_weather", "name": "get_weather", "arguments": "" } } }, + { "event": "response.function_call_arguments.delta", "data": { "type": "response.function_call_arguments.delta", "item_id": "", "output_index": 0, "delta": "{\"city\":\"Paris\"}" } }, + { "event": "response.function_call_arguments.done", "data": { "type": "response.function_call_arguments.done", "item_id": "", "output_index": 0, "arguments": "{\"city\":\"Paris\"}" } }, + { "event": "response.output_item.done", "data": { "type": "response.output_item.done", "output_index": 0, "item": { "id": "", "type": "function_call", "status": "completed", "call_id": "call_weather", "name": "get_weather", "arguments": "{\"city\":\"Paris\"}" } } }, + { "event": "response.output_item.added", "data": { "type": "response.output_item.added", "output_index": 1, "item": { "id": "", "type": "function_call", "status": "in_progress", "call_id": "call_time", "name": "get_time", "arguments": "" } } }, + { "event": "response.function_call_arguments.delta", "data": { "type": "response.function_call_arguments.delta", "item_id": "", "output_index": 1, "delta": "{\"timezone\":\"Europe/Paris\"}" } }, + { "event": "response.function_call_arguments.done", "data": { "type": "response.function_call_arguments.done", "item_id": "", "output_index": 1, "arguments": "{\"timezone\":\"Europe/Paris\"}" } }, + { "event": "response.output_item.done", "data": { "type": "response.output_item.done", "output_index": 1, "item": { "id": "", "type": "function_call", "status": "completed", "call_id": "call_time", "name": "get_time", "arguments": "{\"timezone\":\"Europe/Paris\"}" } } }, + { "event": "response.completed", "data": { "type": "response.completed", "response": { "id": "", "object": "response", "created_at": "", "status": "completed", "model": "test/responses-model", "usage": { "input_tokens": 11, "output_tokens": 4, "total_tokens": 15 } } } } + ] +} diff --git a/test/http-integration.test.js b/test/http-integration.test.js new file mode 100644 index 0000000..161b3ab --- /dev/null +++ b/test/http-integration.test.js @@ -0,0 +1,350 @@ +import assert from "node:assert/strict" +import { Buffer } from "node:buffer" +import http from "node:http" +import test from "node:test" + +import { createProxyFetchHandler } from "../index.js" + +const TOKENS = { input: 2, output: 1, reasoning: 0, cache: { read: 0, write: 0 } } + +function deferred() { + let resolve + const promise = new Promise((done) => { + resolve = done + }) + return { promise, resolve } +} + +async function waitFor(predicate, message, timeoutMs = 1000) { + const deadline = Date.now() + timeoutMs + while (!predicate()) { + if (Date.now() >= deadline) throw new Error(message) + await new Promise((resolve) => setTimeout(resolve, 5)) + } +} + +function streamEvents(events) { + return async function* ({ sessionID }) { + for (const event of events) { + yield typeof event === "function" ? event(sessionID) : event + } + } +} + +function hangingEvents(firstDelta) { + return async function* ({ sessionID, signal }) { + if (firstDelta) { + yield { + type: "message.part.delta", + properties: { sessionID, field: "text", delta: firstDelta }, + } + } + await new Promise((_, reject) => { + if (signal.aborted) return reject(signal.reason) + signal.addEventListener("abort", () => reject(signal.reason), { once: true }) + }) + } +} + +function createMockClient(onPrompt) { + let sequence = 0 + const pendingSubscriptions = [] + const records = new Map() + const state = { aborts: 0, iteratorReturns: 0, attempts: [], creates: 0 } + + return { + state, + app: { log: async () => {} }, + tool: { ids: async () => ({ data: [] }) }, + config: { + providers: async () => ({ + data: { + providers: [{ + id: "openai", + models: { first: { id: "first" }, second: { id: "second" } }, + }], + }, + }), + }, + session: { + create: async () => { + const sessionID = `session-${++sequence}` + const ready = deferred() + records.set(sessionID, { sessionID, ready, spec: null }) + pendingSubscriptions.push(sessionID) + state.creates++ + return { data: { id: sessionID } } + }, + promptAsync: async ({ path, body, signal }) => { + const record = records.get(path.id) + state.attempts.push(body.model.modelID) + record.spec = onPrompt({ modelID: body.model.modelID, sessionID: path.id, signal }) + record.ready.resolve() + }, + abort: async () => { + state.aborts++ + return { data: true } + }, + messages: async ({ path }) => { + const spec = records.get(path.id).spec + return { + data: [{ + info: { role: "assistant", tokens: TOKENS, finish: "stop" }, + parts: [{ type: "text", text: spec?.finalText ?? "" }], + }], + } + }, + delete: async () => ({ data: true }), + }, + event: { + subscribe: async ({ signal }) => { + const sessionID = pendingSubscriptions.shift() + const record = records.get(sessionID) + let inner + return { + stream: { + async next() { + await record.ready.promise + inner ??= record.spec.events({ sessionID, signal })[Symbol.asyncIterator]() + return inner.next() + }, + async return() { + state.iteratorReturns++ + return inner?.return?.() ?? { done: true } + }, + [Symbol.asyncIterator]() { + return this + }, + }, + } + }, + }, + } +} + +async function startServer(client, env = {}) { + const previous = new Map() + for (const [name, value] of Object.entries(env)) { + previous.set(name, process.env[name]) + process.env[name] = value + } + let handler + try { + handler = createProxyFetchHandler(client) + } finally { + for (const [name, value] of previous) { + if (value === undefined) delete process.env[name] + else process.env[name] = value + } + } + + const server = http.createServer(async (incoming, outgoing) => { + const controller = new AbortController() + const abort = () => controller.abort(new Error("HTTP client disconnected")) + incoming.once("aborted", abort) + outgoing.once("close", () => { + if (!outgoing.writableEnded) abort() + }) + + try { + const chunks = [] + for await (const chunk of incoming) chunks.push(chunk) + const address = server.address() + const request = new Request(`http://127.0.0.1:${address.port}${incoming.url}`, { + method: incoming.method, + headers: incoming.headers, + body: chunks.length ? Buffer.concat(chunks) : undefined, + signal: controller.signal, + }) + const response = await handler(request) + outgoing.writeHead(response.status, Object.fromEntries(response.headers)) + if (!response.body) return outgoing.end() + + const reader = response.body.getReader() + const cancel = () => reader.cancel(new Error("HTTP client disconnected")).catch(() => {}) + outgoing.once("close", cancel) + try { + while (true) { + const { done, value } = await reader.read() + if (done) break + if (!outgoing.write(value)) await new Promise((resolve) => outgoing.once("drain", resolve)) + } + outgoing.end() + } finally { + outgoing.off("close", cancel) + reader.releaseLock() + } + } catch (error) { + if (!outgoing.headersSent) outgoing.writeHead(500) + if (!outgoing.destroyed) outgoing.end(String(error)) + } + }) + + await new Promise((resolve, reject) => { + server.once("error", reject) + server.listen(0, "127.0.0.1", resolve) + }) + const address = server.address() + return { + url: `http://127.0.0.1:${address.port}`, + close: async () => { + server.closeAllConnections() + await new Promise((resolve) => server.close(resolve)) + }, + } +} + +function post(url, body, onResponse) { + const target = new URL(url) + const payload = JSON.stringify(body) + const request = http.request({ + hostname: target.hostname, + port: target.port, + path: target.pathname, + method: "POST", + headers: { "content-type": "application/json", "content-length": Buffer.byteLength(payload) }, + }, onResponse) + request.end(payload) + return request +} + +function collectResponse(url, body) { + return new Promise((resolve, reject) => { + const request = post(url, body, (response) => { + const chunks = [] + response.on("data", (chunk) => chunks.push(chunk)) + response.on("end", () => resolve({ status: response.statusCode, text: Buffer.concat(chunks).toString() })) + }) + request.on("error", reject) + }) +} + +function getResponse(url) { + return new Promise((resolve, reject) => { + http.get(url, (response) => { + const chunks = [] + response.on("data", (chunk) => chunks.push(chunk)) + response.on("end", () => resolve({ status: response.statusCode, text: Buffer.concat(chunks).toString() })) + }).on("error", reject) + }) +} + +const chatRequest = (model = "first") => ({ + model, + stream: true, + messages: [{ role: "user", content: "hello" }], +}) + +test("GET /health traverses a real HTTP socket", async (t) => { + const client = createMockClient(() => { throw new Error("not used") }) + const server = await startServer(client) + t.after(server.close) + + const response = await getResponse(`${server.url}/health`) + assert.equal(response.status, 200) + assert.deepEqual(JSON.parse(response.text), { healthy: true, service: "opencode-openai-proxy" }) +}) + +test("SSE streams over a socket and disconnect cancels OpenCode work", async (t) => { + const client = createMockClient(() => ({ events: hangingEvents("hello") })) + const server = await startServer(client) + t.after(server.close) + + await new Promise((resolve, reject) => { + const request = post(`${server.url}/v1/chat/completions`, chatRequest(), (response) => { + response.once("data", (chunk) => { + assert.match(chunk.toString(), /hello/) + response.destroy() + resolve() + }) + }) + request.on("error", reject) + }) + + await waitFor(() => client.state.aborts === 1 && client.state.iteratorReturns === 1, "disconnect cleanup did not run") +}) + +test("request timeout emits a protocol failure and terminates the stream", async (t) => { + const client = createMockClient(() => ({ events: hangingEvents() })) + const server = await startServer(client, { OPENCODE_LLM_PROXY_REQUEST_TIMEOUT_MS: "40" }) + t.after(server.close) + + const response = await collectResponse(`${server.url}/v1/chat/completions`, chatRequest()) + assert.equal(response.status, 200) + assert.match(response.text, /"type":"server_error"/) + assert.match(response.text, /data: \[DONE\]/) + assert.equal(client.state.aborts, 1) + assert.equal(client.state.iteratorReturns, 1) +}) + +test("one active and one queued request cause a third request to receive 503", async (t) => { + const client = createMockClient(() => ({ events: hangingEvents("held") })) + const server = await startServer(client, { + OPENCODE_LLM_PROXY_MAX_CONCURRENT_REQUESTS: "1", + OPENCODE_LLM_PROXY_MAX_QUEUED_REQUESTS: "1", + }) + t.after(server.close) + + let firstResponse + const firstReady = deferred() + const first = post(`${server.url}/v1/chat/completions`, chatRequest(), (response) => { + firstResponse = response + response.once("data", firstReady.resolve) + }) + t.after(() => first.destroy()) + await firstReady.promise + + let secondResponse + const secondReady = deferred() + const second = post(`${server.url}/v1/chat/completions`, chatRequest(), (response) => { + secondResponse = response + response.once("data", secondReady.resolve) + }) + t.after(() => second.destroy()) + await new Promise((resolve) => setTimeout(resolve, 20)) + assert.equal(client.state.creates, 1, "queued request reached the OpenCode client") + + const third = await collectResponse(`${server.url}/v1/chat/completions`, chatRequest()) + assert.equal(third.status, 503) + assert.match(third.text, /proxy is busy/i) + + firstResponse.destroy() + await secondReady.promise + assert.equal(client.state.creates, 2) + secondResponse.destroy() +}) + +test("stream alias falls back before output", async (t) => { + const client = createMockClient(({ modelID }) => modelID === "first" + ? { events: streamEvents([(sessionID) => ({ type: "session.error", properties: { sessionID, error: { message: "retryable" } } })]) } + : { events: streamEvents([ + (sessionID) => ({ type: "message.part.delta", properties: { sessionID, field: "text", delta: "fallback" } }), + (sessionID) => ({ type: "session.idle", properties: { sessionID } }), + ]), finalText: "fallback" }) + const server = await startServer(client, { + OPENCODE_LLM_PROXY_MODEL_ALIASES: JSON.stringify({ smart: ["openai/first", "openai/second"] }), + }) + t.after(server.close) + + const response = await collectResponse(`${server.url}/v1/chat/completions`, chatRequest("smart")) + assert.equal(response.status, 200) + assert.match(response.text, /fallback/) + assert.deepEqual(client.state.attempts, ["first", "second"]) +}) + +test("stream alias does not fall back after output", async (t) => { + const client = createMockClient(() => ({ events: streamEvents([ + (sessionID) => ({ type: "message.part.delta", properties: { sessionID, field: "text", delta: "partial" } }), + (sessionID) => ({ type: "session.error", properties: { sessionID, error: { message: "failed after output" } } }), + ]) })) + const server = await startServer(client, { + OPENCODE_LLM_PROXY_MODEL_ALIASES: JSON.stringify({ smart: ["openai/first", "openai/second"] }), + }) + t.after(server.close) + + const response = await collectResponse(`${server.url}/v1/chat/completions`, chatRequest("smart")) + assert.equal(response.status, 200) + assert.match(response.text, /partial/) + assert.match(response.text, /"type":"server_error"/) + assert.deepEqual(client.state.attempts, ["first"]) +}) diff --git a/test/stream-conformance.test.js b/test/stream-conformance.test.js new file mode 100644 index 0000000..4354702 --- /dev/null +++ b/test/stream-conformance.test.js @@ -0,0 +1,204 @@ +import assert from "node:assert/strict" +import { readFile } from "node:fs/promises" +import test from "node:test" + +import { createProxyFetchHandler } from "../index.js" + +const ROOT = "http://127.0.0.1:4010" +const TOKENS = { input: 11, output: 4, reasoning: 0, cache: { read: 0, write: 0 } } +const TOOLS = [ + { name: "get_weather", callID: "call_weather", args: { city: "Paris" } }, + { name: "get_time", callID: "call_time", args: { timezone: "Europe/Paris" } }, +] + +async function fixture(name) { + return JSON.parse(await readFile(new URL(`./fixtures/streams/${name}.json`, import.meta.url), "utf8")) +} + +function createClient({ model, deltas = [], tools = [] }) { + const sessionID = `session_${model}` + const messageID = `assistant_${model}` + let bridgeName + + async function* events() { + for (const delta of deltas) { + yield { type: "message.part.delta", properties: { sessionID, field: "text", delta } } + } + for (const tool of tools) { + for (const [status, input] of [["pending", {}], ["running", tool.args]]) { + yield { + type: "message.part.updated", + properties: { + part: { + sessionID, + messageID, + type: "tool", + tool: `${bridgeName}_${tool.name}`, + callID: tool.callID, + state: { status, input }, + }, + }, + } + } + } + if (tools.length > 0) { + yield { + type: "message.part.updated", + properties: { part: { sessionID, messageID, type: "step-finish" } }, + } + } else { + yield { type: "session.idle", properties: { sessionID } } + } + } + + return { + app: { log: async () => {} }, + tool: { ids: async () => ({ data: [] }) }, + config: { + providers: async () => ({ + data: { providers: [{ id: "test", models: { [model]: { id: model, name: model } } }] }, + }), + }, + mcp: { + disconnect: async () => {}, + add: async ({ body }) => { + bridgeName = body.name + return { data: {} } + }, + }, + event: { subscribe: async () => ({ stream: events() }) }, + session: { + create: async () => ({ data: { id: sessionID } }), + promptAsync: async () => {}, + abort: async () => ({ data: true }), + delete: async () => ({ data: true }), + messages: async () => ({ + data: [{ + info: { role: "assistant", tokens: TOKENS, finish: tools.length > 0 ? "tool_calls" : "end_turn" }, + parts: deltas.map((text) => ({ type: "text", text })), + }], + }), + }, + } +} + +function request(path, body) { + return new Request(`${ROOT}${path}`, { + method: "POST", + headers: { "content-type": "application/json" }, + body: JSON.stringify(body), + }) +} + +function parseSse(text, named) { + return text.split("\n\n").filter(Boolean).map((block) => { + const lines = block.split("\n") + const event = lines.find((line) => line.startsWith("event: "))?.slice(7) + const data = lines.find((line) => line.startsWith("data: "))?.slice(6) + if (data === "[DONE]") return { done: true } + return named ? { event, data: JSON.parse(data) } : JSON.parse(data) + }) +} + +function normalize(events) { + const ids = new Map() + const counts = new Map() + const prefixes = [ + ["chatcmpl_", "chat"], + ["resp_", "response"], + ["msg_", "message"], + ["fc_", "function-item"], + ] + + function value(input, key) { + if ((key === "created" || key === "created_at") && typeof input === "number") return "" + if (Array.isArray(input)) return input.map((entry) => value(entry)) + if (input && typeof input === "object") { + return Object.fromEntries(Object.entries(input).map(([name, entry]) => [name, value(entry, name)])) + } + if (typeof input !== "string") return input + const match = prefixes.find(([prefix]) => input.startsWith(prefix)) + if (!match) return input + if (!ids.has(input)) { + const label = match[1] + const count = (counts.get(label) ?? 0) + 1 + counts.set(label, count) + ids.set(input, `<${label}-${count}>`) + } + return ids.get(input) + } + + return value(events) +} + +const protocols = [ + { + name: "openai-chat", + path: "/v1/chat/completions", + named: false, + textBody: { model: "chat-model", stream: true, messages: [{ role: "user", content: "Greet me" }] }, + toolBody: { + model: "chat-model", + stream: true, + messages: [{ role: "user", content: "Weather and time?" }], + tools: TOOLS.map((tool) => ({ type: "function", function: { name: tool.name, parameters: { type: "object" } } })), + }, + }, + { + name: "openai-responses", + path: "/v1/responses", + named: true, + textBody: { model: "responses-model", stream: true, input: "Greet me" }, + toolBody: { + model: "responses-model", + stream: true, + input: "Weather and time?", + tools: TOOLS.map((tool) => ({ type: "function", name: tool.name, parameters: { type: "object" } })), + }, + }, + { + name: "anthropic", + path: "/v1/messages", + named: true, + textBody: { model: "anthropic-model", max_tokens: 32, stream: true, messages: [{ role: "user", content: "Greet me" }] }, + toolBody: { + model: "anthropic-model", + max_tokens: 32, + stream: true, + messages: [{ role: "user", content: "Weather and time?" }], + tools: TOOLS.map((tool) => ({ name: tool.name, input_schema: { type: "object" } })), + }, + }, + { + name: "gemini", + path: "/v1beta/models/gemini-model:streamGenerateContent", + named: false, + textBody: { contents: [{ role: "user", parts: [{ text: "Greet me" }] }] }, + toolBody: { + contents: [{ role: "user", parts: [{ text: "Weather and time?" }] }], + tools: [{ functionDeclarations: TOOLS.map((tool) => ({ name: tool.name, parameters: { type: "object" } })) }], + }, + }, +] + +for (const protocol of protocols) { + test(`${protocol.name} emits normalized complete text and parallel-tool streams`, async () => { + const expected = await fixture(protocol.name) + const model = protocol.textBody.model ?? "gemini-model" + + const textResponse = await createProxyFetchHandler(createClient({ model, deltas: ["Hello", " world"] }))( + request(protocol.path, protocol.textBody), + ) + const toolResponse = await createProxyFetchHandler(createClient({ model, tools: TOOLS }))( + request(protocol.path, protocol.toolBody), + ) + + assert.equal(textResponse.status, 200) + assert.equal(toolResponse.status, 200) + const parse = protocol.name === "gemini" + ? (text) => text.trim().split("\n").map((line) => JSON.parse(line)) + : (text) => parseSse(text, protocol.named) + assert.deepEqual(normalize(parse(await textResponse.text())), expected.text) + assert.deepEqual(normalize(parse(await toolResponse.text())), expected.parallelTools) + }) +}