diff --git a/package-lock.json b/package-lock.json
index a1e78a55..3bfa2f45 100644
--- a/package-lock.json
+++ b/package-lock.json
@@ -3203,6 +3203,39 @@
"license": "MIT",
"peer": true
},
+ "node_modules/@cerebras/cerebras_cloud_sdk": {
+ "version": "1.29.0",
+ "resolved": "https://registry.npmjs.org/@cerebras/cerebras_cloud_sdk/-/cerebras_cloud_sdk-1.29.0.tgz",
+ "integrity": "sha512-mZBvHO3x0WVX2k6uu7vNiVveka6cx/jeXD2iBzxfR07BrBN8sSCRIBt4jPuf1RI2HRsjHFJDh4ovGZuK1Fcxug==",
+ "dev": true,
+ "license": "Apache-2.0",
+ "dependencies": {
+ "@types/node": "^18.11.18",
+ "@types/node-fetch": "^2.6.4",
+ "abort-controller": "^3.0.0",
+ "agentkeepalive": "^4.2.1",
+ "form-data-encoder": "1.7.2",
+ "formdata-node": "^4.3.2",
+ "node-fetch": "^2.6.7"
+ }
+ },
+ "node_modules/@cerebras/cerebras_cloud_sdk/node_modules/@types/node": {
+ "version": "18.19.86",
+ "resolved": "https://registry.npmjs.org/@types/node/-/node-18.19.86.tgz",
+ "integrity": "sha512-fifKayi175wLyKyc5qUfyENhQ1dCNI1UNjp653d8kuYcPQN5JhX3dGuP/XmvPTg/xRBn1VTLpbmi+H/Mr7tLfQ==",
+ "dev": true,
+ "license": "MIT",
+ "dependencies": {
+ "undici-types": "~5.26.4"
+ }
+ },
+ "node_modules/@cerebras/cerebras_cloud_sdk/node_modules/undici-types": {
+ "version": "5.26.5",
+ "resolved": "https://registry.npmjs.org/undici-types/-/undici-types-5.26.5.tgz",
+ "integrity": "sha512-JlCMO+ehdEIKqlFxk6IfVoAUVmgz7cU7zD/h9XZ0qzeosSHmUJVOzSQvvYSYWXkFXC+IfLKSIffhv0sVZup6pA==",
+ "dev": true,
+ "license": "MIT"
+ },
"node_modules/@cfworker/json-schema": {
"version": "4.0.3",
"resolved": "https://registry.npmjs.org/@cfworker/json-schema/-/json-schema-4.0.3.tgz",
@@ -10679,6 +10712,10 @@
"resolved": "packages/instrumentation-bedrock",
"link": true
},
+ "node_modules/@traceloop/instrumentation-cerebras": {
+ "resolved": "packages/instrumentation-cerebras",
+ "link": true
+ },
"node_modules/@traceloop/instrumentation-chromadb": {
"resolved": "packages/instrumentation-chromadb",
"link": true
@@ -26716,6 +26753,27 @@
"node": ">=14"
}
},
+ "packages/instrumentation-cerebras": {
+ "name": "@traceloop/instrumentation-cerebras",
+ "version": "0.1.0",
+ "license": "Apache-2.0",
+ "dependencies": {
+ "@opentelemetry/core": "^1.29.0",
+ "@opentelemetry/instrumentation": "^0.56.0",
+ "@opentelemetry/semantic-conventions": "^1.28.0",
+ "@traceloop/ai-semantic-conventions": "^0.12.0",
+ "tslib": "^2.8.1"
+ },
+ "devDependencies": {
+ "@cerebras/cerebras_cloud_sdk": "^1.29.0",
+ "@pollyjs/adapter-node-http": "^6.0.6",
+ "@pollyjs/core": "^6.0.6",
+ "@pollyjs/persister-fs": "^6.0.6"
+ },
+ "engines": {
+ "node": ">=14"
+ }
+ },
"packages/instrumentation-chromadb": {
"name": "@traceloop/instrumentation-chromadb",
"version": "0.12.0",
diff --git a/packages/instrumentation-cerebras/.prettierignore b/packages/instrumentation-cerebras/.prettierignore
new file mode 100644
index 00000000..258e27f6
--- /dev/null
+++ b/packages/instrumentation-cerebras/.prettierignore
@@ -0,0 +1,2 @@
+/dist
+/coverage
\ No newline at end of file
diff --git a/packages/instrumentation-cerebras/CHANGELOG.md b/packages/instrumentation-cerebras/CHANGELOG.md
new file mode 100644
index 00000000..e4d87c4d
--- /dev/null
+++ b/packages/instrumentation-cerebras/CHANGELOG.md
@@ -0,0 +1,4 @@
+# Change Log
+
+All notable changes to this project will be documented in this file.
+See [Conventional Commits](https://conventionalcommits.org) for commit guidelines.
diff --git a/packages/instrumentation-cerebras/README.md b/packages/instrumentation-cerebras/README.md
new file mode 100644
index 00000000..624ca07b
--- /dev/null
+++ b/packages/instrumentation-cerebras/README.md
@@ -0,0 +1,53 @@
+# OpenTelemetry Cerebras instrumentation for Node.js
+
+[![NPM Published Version][npm-img]][npm-url]
+[![Apache License][license-image]][license-image]
+
+This module provides automatic instrumentation for the [`Cerebras Node API Library`](https://www.npmjs.com/package/@cerebras/cerebras_cloud_sdk) module, which may be loaded using the [`@opentelemetry/sdk-trace-node`](https://github.com/open-telemetry/opentelemetry-js/tree/main/packages/opentelemetry-sdk-trace-node) package.
+
+Compatible with OpenTelemetry JS API and SDK `1.0+`.
+
+## Installation
+
+```bash
+npm install --save @traceloop/instrumentation-cerebras
+```
+
+## Supported Versions
+
+- `>=1.29.0`
+
+## Usage
+
+To load a specific plugin, specify it in the registerInstrumentations's configuration:
+
+```js
+const { NodeTracerProvider } = require("@opentelemetry/sdk-trace-node");
+const {
+ CerebrasInstrumentation,
+} = require("@traceloop/instrumentation-cerebras");
+const { registerInstrumentations } = require("@opentelemetry/instrumentation");
+
+const provider = new NodeTracerProvider();
+provider.register();
+
+registerInstrumentations({
+ instrumentations: [new CerebrasInstrumentation()],
+});
+```
+
+## Useful links
+
+- For more information on OpenTelemetry, visit:
+- For more about OpenTelemetry JavaScript:
+- For help or feedback on this project, join us on [Slack][slack-url]
+
+## License
+
+Apache 2.0 - See [LICENSE][license-url] for more information.
+
+[slack-url]: https://traceloop.com/slack
+[license-url]: https://github.com/traceloop/openllmetry-js/blob/main/LICENSE
+[license-image]: https://img.shields.io/badge/license-Apache_2.0-green.svg?style=flat
+[npm-url]: https://www.npmjs.com/package/@traceloop/instrumentation-cerebras
+[npm-img]: https://badge.fury.io/js/%40traceloop%2Finstrumentation-cerebras.svg
diff --git a/packages/instrumentation-cerebras/eslint.config.cjs b/packages/instrumentation-cerebras/eslint.config.cjs
new file mode 100644
index 00000000..bc173051
--- /dev/null
+++ b/packages/instrumentation-cerebras/eslint.config.cjs
@@ -0,0 +1,29 @@
+const js = require("@eslint/js");
+const rootConfig = require("../../eslint.config.cjs");
+
+const { FlatCompat } = require("@eslint/eslintrc");
+
+const compat = new FlatCompat({
+ baseDirectory: __dirname,
+ recommendedConfig: js.configs.recommended,
+ allConfig: js.configs.all,
+});
+
+module.exports = [
+ {
+ ignores: ["!**/*", "**/node_modules", "dist/**/*"],
+ },
+ ...rootConfig,
+ {
+ files: ["**/*.ts", "**/*.tsx", "**/*.js", "**/*.jsx"],
+ rules: {},
+ },
+ {
+ files: ["**/*.ts", "**/*.tsx"],
+ rules: {},
+ },
+ {
+ files: ["**/*.js", "**/*.jsx"],
+ rules: {},
+ },
+];
diff --git a/packages/instrumentation-cerebras/package.json b/packages/instrumentation-cerebras/package.json
new file mode 100644
index 00000000..f6279322
--- /dev/null
+++ b/packages/instrumentation-cerebras/package.json
@@ -0,0 +1,54 @@
+{
+ "name": "@traceloop/instrumentation-cerebras",
+ "version": "0.1.0",
+ "description": "Cerebras Instrumentation",
+ "main": "dist/index.js",
+ "module": "dist/index.mjs",
+ "types": "dist/index.d.ts",
+ "repository": "traceloop/openllmetry-js",
+ "scripts": {
+ "build": "rollup -c",
+ "lint": "eslint .",
+ "lint:fix": "eslint . --fix",
+ "test": "ts-mocha -p tsconfig.json 'tests/**/*.test.ts' --timeout 20000"
+ },
+ "keywords": [
+ "opentelemetry",
+ "nodejs",
+ "tracing",
+ "attributes",
+ "semantic conventions"
+ ],
+ "author": "Harry ",
+ "license": "Apache-2.0",
+ "engines": {
+ "node": ">=14"
+ },
+ "files": [
+ "dist/**/*.js",
+ "dist/**/*.mjs",
+ "dist/**/*.js.map",
+ "dist/**/*.d.ts",
+ "doc",
+ "LICENSE",
+ "README.md",
+ "package.json"
+ ],
+ "publishConfig": {
+ "access": "public"
+ },
+ "dependencies": {
+ "@opentelemetry/core": "^1.29.0",
+ "@opentelemetry/instrumentation": "^0.56.0",
+ "@opentelemetry/semantic-conventions": "^1.28.0",
+ "@traceloop/ai-semantic-conventions": "^0.12.0",
+ "tslib": "^2.8.1"
+ },
+ "devDependencies": {
+ "@cerebras/cerebras_cloud_sdk": "^1.29.0",
+ "@pollyjs/adapter-node-http": "^6.0.6",
+ "@pollyjs/core": "^6.0.6",
+ "@pollyjs/persister-fs": "^6.0.6"
+ },
+ "homepage": "https://github.com/traceloop/openllmetry-js/tree/main/packages/instrumentation-cerebras"
+}
diff --git a/packages/instrumentation-cerebras/recordings/Test-Cerebras-instrumentation_3871951548/should-set-attributes-in-span-for-completions-streaming_2198009633/recording.har b/packages/instrumentation-cerebras/recordings/Test-Cerebras-instrumentation_3871951548/should-set-attributes-in-span-for-completions-streaming_2198009633/recording.har
new file mode 100644
index 00000000..dc5a67fd
--- /dev/null
+++ b/packages/instrumentation-cerebras/recordings/Test-Cerebras-instrumentation_3871951548/should-set-attributes-in-span-for-completions-streaming_2198009633/recording.har
@@ -0,0 +1,223 @@
+{
+ "log": {
+ "_recordingName": "Test Cerebras instrumentation/should set attributes in span for completions (streaming)",
+ "creator": {
+ "comment": "persister:fs",
+ "name": "Polly.JS",
+ "version": "6.0.6"
+ },
+ "entries": [
+ {
+ "_id": "4c6d08a4f7e3e3a6c5608a8f83def0bc",
+ "_order": 0,
+ "cache": {},
+ "request": {
+ "bodySize": 118,
+ "cookies": [],
+ "headers": [
+ {
+ "_fromType": "array",
+ "name": "content-length",
+ "value": "118"
+ },
+ {
+ "_fromType": "array",
+ "name": "accept",
+ "value": "application/json"
+ },
+ {
+ "_fromType": "array",
+ "name": "content-type",
+ "value": "application/json"
+ },
+ {
+ "_fromType": "array",
+ "name": "user-agent",
+ "value": "Cerebras/JS 1.29.0"
+ },
+ {
+ "_fromType": "array",
+ "name": "x-stainless-lang",
+ "value": "js"
+ },
+ {
+ "_fromType": "array",
+ "name": "x-stainless-package-version",
+ "value": "1.29.0"
+ },
+ {
+ "_fromType": "array",
+ "name": "x-stainless-os",
+ "value": "MacOS"
+ },
+ {
+ "_fromType": "array",
+ "name": "x-stainless-arch",
+ "value": "arm64"
+ },
+ {
+ "_fromType": "array",
+ "name": "x-stainless-runtime",
+ "value": "node"
+ },
+ {
+ "_fromType": "array",
+ "name": "x-stainless-runtime-version",
+ "value": "v22.10.0"
+ },
+ {
+ "_fromType": "array",
+ "name": "x-stainless-retry-count",
+ "value": "0"
+ },
+ {
+ "_fromType": "array",
+ "name": "x-stainless-timeout",
+ "value": "60"
+ },
+ {
+ "_fromType": "array",
+ "name": "accept-encoding",
+ "value": "gzip,deflate"
+ },
+ {
+ "name": "host",
+ "value": "api.cerebras.ai"
+ }
+ ],
+ "headersSize": 523,
+ "httpVersion": "HTTP/1.1",
+ "method": "POST",
+ "postData": {
+ "mimeType": "application/json",
+ "params": [],
+ "text": "{\n \"model\": \"llama-3.1-8b\",\n \"max_tokens\": 300,\n \"prompt\": \"Tell me a joke about OpenTelemetry\",\n \"stream\": true\n}"
+ },
+ "queryString": [],
+ "url": "https://api.cerebras.ai/v1/completions"
+ },
+ "response": {
+ "bodySize": 65847,
+ "content": {
+ "mimeType": "text/event-stream; charset=utf-8",
+ "size": 65847,
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+exports.default = [
+ bundle({
+ plugins: [typescript.default(), json.default()],
+ output: [
+ {
+ file: `${name}.js`,
+ format: "cjs",
+ sourcemap: true,
+ },
+ {
+ file: `${name}.mjs`,
+ format: "es",
+ sourcemap: true,
+ },
+ ],
+ }),
+ bundle({
+ plugins: [dts.default()],
+ output: {
+ file: `${name}.d.ts`,
+ format: "es",
+ },
+ }),
+];
diff --git a/packages/instrumentation-cerebras/src/index.ts b/packages/instrumentation-cerebras/src/index.ts
new file mode 100644
index 00000000..f104515f
--- /dev/null
+++ b/packages/instrumentation-cerebras/src/index.ts
@@ -0,0 +1,18 @@
+/*
+ * Copyright Traceloop
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+export * from "./instrumentation";
+export * from "./types";
diff --git a/packages/instrumentation-cerebras/src/instrumentation.ts b/packages/instrumentation-cerebras/src/instrumentation.ts
new file mode 100644
index 00000000..cc636c77
--- /dev/null
+++ b/packages/instrumentation-cerebras/src/instrumentation.ts
@@ -0,0 +1,494 @@
+/*
+ * Copyright Traceloop
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+import {
+ context,
+ trace,
+ Span,
+ Attributes,
+ SpanKind,
+ SpanStatusCode,
+} from "@opentelemetry/api";
+import {
+ InstrumentationBase,
+ InstrumentationModuleDefinition,
+ InstrumentationNodeModuleDefinition,
+ safeExecuteInTheMiddle,
+} from "@opentelemetry/instrumentation";
+import {
+ CONTEXT_KEY_ALLOW_TRACE_CONTENT,
+ SpanAttributes,
+} from "@traceloop/ai-semantic-conventions";
+import { CerebrasInstrumentationConfig } from "./types";
+import { version } from "../package.json";
+import type * as cerebras from "@cerebras/cerebras_cloud_sdk";
+import type {
+ CompletionCreateParamsNonStreaming,
+ CompletionCreateParamsStreaming,
+ Completion,
+} from "@cerebras/cerebras_cloud_sdk/resources/completions";
+import type { Stream } from "@cerebras/cerebras_cloud_sdk/streaming";
+import {
+ ChatCompletion,
+ ChatCompletionCreateParamsNonStreaming,
+} from "@cerebras/cerebras_cloud_sdk/resources/chat/completions";
+
+export class CerebrasInstrumentation extends InstrumentationBase {
+ declare protected _config: CerebrasInstrumentationConfig;
+
+ constructor(config: CerebrasInstrumentationConfig = {}) {
+ super("@traceloop/instrumentation-cerebras", version, config);
+ }
+
+ public override setConfig(config: CerebrasInstrumentationConfig = {}) {
+ super.setConfig(config);
+ }
+
+ public manuallyInstrument(module: typeof cerebras) {
+ this._diag.debug(`Patching @cerebras/cerebras_cloud_sdk manually`);
+
+ this._wrap(
+ module.Cerebras.Completions.prototype,
+ "create",
+ this.patchCerebras("completion"),
+ );
+ this._wrap(
+ module.Cerebras.Chat.Completions.prototype,
+ "create",
+ this.patchCerebras("chat"),
+ );
+ }
+
+ protected init(): InstrumentationModuleDefinition {
+ const module = new InstrumentationNodeModuleDefinition(
+ "@cerebras/cerebras_cloud_sdk",
+ [">=0.9.1"],
+ this.patch.bind(this),
+ this.unpatch.bind(this),
+ );
+ return module;
+ }
+
+ private patch(moduleExports: typeof cerebras, moduleVersion?: string) {
+ this._diag.debug(`Patching @cerebras/cerebras_cloud_sdk@${moduleVersion}`);
+
+ this._wrap(
+ moduleExports.Cerebras.Completions.prototype,
+ "create",
+ this.patchCerebras("completion"),
+ );
+ this._wrap(
+ moduleExports.Cerebras.Chat.Completions.prototype,
+ "create",
+ this.patchCerebras("chat"),
+ );
+ return moduleExports;
+ }
+
+ private unpatch(
+ moduleExports: typeof cerebras,
+ moduleVersion?: string,
+ ): void {
+ this._diag.debug(
+ `Unpatching @cerebras/cerebras_cloud_sdk@${moduleVersion}`,
+ );
+
+ this._unwrap(moduleExports.Cerebras.Completions.prototype, "create");
+ this._unwrap(moduleExports.Cerebras.Chat.Completions.prototype, "create");
+ }
+
+ private patchCerebras(type: "chat" | "completion") {
+ // eslint-disable-next-line @typescript-eslint/no-this-alias
+ const plugin = this;
+ // eslint-disable-next-line
+ return (original: Function) => {
+ return function method(this: any, ...args: unknown[]) {
+ const span =
+ type === "chat"
+ ? plugin.startSpan({
+ type,
+ params: args[0] as ChatCompletionCreateParamsNonStreaming & {
+ extraAttributes?: Record;
+ },
+ })
+ : plugin.startSpan({
+ type,
+ params: args[0] as CompletionCreateParamsNonStreaming & {
+ extraAttributes?: Record;
+ },
+ });
+
+ const execContext = trace.setSpan(context.active(), span);
+ const execPromise = safeExecuteInTheMiddle(
+ () => {
+ return context.with(execContext, () => {
+ if ((args?.[0] as any)?.extraAttributes) {
+ delete (args[0] as any).extraAttributes;
+ }
+ return original.apply(this, args);
+ });
+ },
+ (e) => {
+ if (e) {
+ plugin._diag.error("Error in Cerebras instrumentation", e);
+ }
+ },
+ );
+
+ if (
+ (
+ args[0] as
+ | ChatCompletionCreateParamsNonStreaming
+ | CompletionCreateParamsStreaming
+ ).stream
+ ) {
+ return context.bind(
+ execContext,
+ plugin._streamingWrapPromise({
+ span,
+ type,
+ promise: execPromise,
+ }),
+ );
+ }
+
+ const wrappedPromise = plugin._wrapPromise(type, span, execPromise);
+
+ return context.bind(execContext, wrappedPromise as any);
+ };
+ };
+ }
+
+ private startSpan({
+ type,
+ params,
+ }:
+ | {
+ type: "chat";
+ params: ChatCompletionCreateParamsNonStreaming & {
+ extraAttributes?: Record;
+ };
+ }
+ | {
+ type: "completion";
+ params: CompletionCreateParamsNonStreaming & {
+ extraAttributes?: Record;
+ };
+ }): Span {
+ const attributes: Attributes = {
+ [SpanAttributes.LLM_SYSTEM]: "Cerebras",
+ [SpanAttributes.LLM_REQUEST_TYPE]: type,
+ };
+
+ try {
+ attributes[SpanAttributes.LLM_REQUEST_MODEL] = params.model;
+ if (typeof params.temperature === "number") {
+ attributes[SpanAttributes.LLM_REQUEST_TEMPERATURE] = params.temperature;
+ }
+ if (typeof params.top_p === "number") {
+ attributes[SpanAttributes.LLM_REQUEST_TOP_P] = params.top_p;
+ }
+
+ if (typeof params.max_tokens === "number") {
+ attributes[SpanAttributes.LLM_REQUEST_MAX_TOKENS] = params.max_tokens;
+ }
+
+ if (
+ params.extraAttributes !== undefined &&
+ typeof params.extraAttributes === "object"
+ ) {
+ Object.keys(params.extraAttributes).forEach((key: string) => {
+ attributes[key] = params.extraAttributes![key];
+ });
+ }
+
+ if (this._shouldSendPrompts()) {
+ if (type === "chat") {
+ params.messages.forEach((message, index) => {
+ attributes[`${SpanAttributes.LLM_PROMPTS}.${index}.role`] =
+ message.role;
+ if (typeof message.content === "string") {
+ attributes[`${SpanAttributes.LLM_PROMPTS}.${index}.content`] =
+ (message.content as string) || "";
+ } else {
+ attributes[`${SpanAttributes.LLM_PROMPTS}.${index}.content`] =
+ JSON.stringify(message.content);
+ }
+ });
+ } else {
+ attributes[`${SpanAttributes.LLM_PROMPTS}.0.role`] = "user";
+ attributes[`${SpanAttributes.LLM_PROMPTS}.0.content`] =
+ params.prompt as string;
+ }
+ }
+ } catch (e) {
+ this._diag.debug(e);
+ this._config.exceptionLogger?.(e);
+ }
+
+ return this.tracer.startSpan(`cerebras.${type}`, {
+ kind: SpanKind.CLIENT,
+ attributes,
+ });
+ }
+
+ private async *_streamingWrapPromise({
+ span,
+ type,
+ promise,
+ }:
+ | {
+ span: Span;
+ type: "chat";
+ promise: Promise>;
+ }
+ | {
+ span: Span;
+ type: "completion";
+ promise: Promise>;
+ }) {
+ if (type === "chat") {
+ const message: ChatCompletion.ChatCompletionResponse.Choice.Message = {
+ id: "0",
+ type: "message",
+ role: "assistant",
+ stop_reason: null,
+ stop_sequence: null,
+ usage: { prompt_tokens: 0, completion_tokens: 0 },
+ content: "",
+ };
+
+ const result: ChatCompletion.ChatCompletionResponse = {
+ id: "0",
+ choices: [
+ {
+ finish_reason: "stop",
+ index: 0,
+ message,
+ },
+ ],
+ created: 0,
+ model: "",
+ object: "chat.completion",
+ system_fingerprint: "",
+ time_info: {},
+ usage: {},
+ };
+
+ for await (const chunk of await promise) {
+ yield chunk;
+
+ if (!("error" in chunk)) {
+ try {
+ const text =
+ (chunk as ChatCompletion.ChatChunkResponse).choices?.[0]?.delta
+ ?.content || "";
+ message.content += text;
+ } catch (e) {
+ this._diag.debug(e);
+ this._config.exceptionLogger?.(e);
+ }
+
+ if (chunk.usage) {
+ result.usage = chunk.usage;
+ }
+ if (chunk.model) {
+ result.model = chunk.model;
+ }
+ if (chunk.finish_reason) {
+ message.finish_reason = chunk.finish_reason as
+ | "stop"
+ | "length"
+ | "content_filter"
+ | null;
+ }
+ }
+ }
+
+ this._endSpan({ span, type, result });
+ } else {
+ const result: Completion.CompletionResponse = {
+ id: "0",
+ choices: [
+ {
+ finish_reason: "stop",
+ index: 0,
+ text: "",
+ },
+ ],
+ created: 0,
+ model: "",
+ object: "text_completion",
+ system_fingerprint: "",
+ time_info: {},
+ usage: {},
+ };
+
+ for await (const chunk of await promise) {
+ yield chunk;
+
+ if (!("error" in chunk)) {
+ try {
+ const text =
+ (chunk as Completion.CompletionResponse).choices?.[0]?.text || "";
+ result.choices[0].text += text;
+ } catch (e) {
+ this._diag.debug(e);
+ this._config.exceptionLogger?.(e);
+ }
+
+ if (chunk.usage) {
+ result.usage = chunk.usage;
+ }
+ if (chunk.model) {
+ result.model = chunk.model;
+ }
+ if (chunk.finish_reason) {
+ result.choices[0].finish_reason = chunk.finish_reason as
+ | "stop"
+ | "length"
+ | "content_filter"
+ | null;
+ }
+ }
+ }
+
+ this._endSpan({ span, type, result });
+ }
+ }
+
+ private _wrapPromise(
+ type: "chat" | "completion",
+ span: Span,
+ promise: Promise,
+ ): Promise {
+ return promise
+ .then((result) => {
+ return new Promise((resolve) => {
+ if (type === "chat") {
+ this._endSpan({
+ type,
+ span,
+ result: result as ChatCompletion.ChatCompletionResponse,
+ });
+ } else {
+ this._endSpan({
+ type,
+ span,
+ result: result as Completion.CompletionResponse,
+ });
+ }
+
+ resolve(result);
+ });
+ })
+ .catch((error: Error) => {
+ return new Promise((_, reject) => {
+ span.setStatus({
+ code: SpanStatusCode.ERROR,
+ message: error.message,
+ });
+ span.recordException(error);
+ span.end();
+
+ reject(error);
+ });
+ });
+ }
+
+ private _endSpan({
+ span,
+ type,
+ result,
+ }:
+ | {
+ span: Span;
+ type: "chat";
+ result: ChatCompletion.ChatCompletionResponse;
+ }
+ | {
+ span: Span;
+ type: "completion";
+ result: Completion.CompletionResponse;
+ }) {
+ try {
+ span.setAttribute(SpanAttributes.LLM_RESPONSE_MODEL, result.model);
+
+ if (result.usage) {
+ span.setAttribute(
+ SpanAttributes.LLM_USAGE_TOTAL_TOKENS,
+ ((result.usage.prompt_tokens as number | undefined) ?? 0) +
+ ((result.usage.completion_tokens as number | undefined) ?? 0),
+ );
+ span.setAttribute(
+ SpanAttributes.LLM_USAGE_COMPLETION_TOKENS,
+ (result.usage.completion_tokens as number | undefined) ?? 0,
+ );
+ span.setAttribute(
+ SpanAttributes.LLM_USAGE_PROMPT_TOKENS,
+ (result.usage.prompt_tokens as number | undefined) ?? 0,
+ );
+ }
+
+ if (result.choices?.[0]?.finish_reason) {
+ span.setAttribute(
+ `${SpanAttributes.LLM_COMPLETIONS}.0.finish_reason`,
+ result.choices[0].finish_reason,
+ );
+ }
+
+ if (this._shouldSendPrompts()) {
+ if (type === "chat") {
+ span.setAttribute(
+ `${SpanAttributes.LLM_COMPLETIONS}.0.role`,
+ "assistant",
+ );
+ span.setAttribute(
+ `${SpanAttributes.LLM_COMPLETIONS}.0.content`,
+ result.choices[0].message.content as string,
+ );
+ } else {
+ span.setAttribute(
+ `${SpanAttributes.LLM_COMPLETIONS}.0.role`,
+ "assistant",
+ );
+ span.setAttribute(
+ `${SpanAttributes.LLM_COMPLETIONS}.0.content`,
+ result.choices[0].text || "",
+ );
+ }
+ }
+ } catch (e) {
+ this._diag.debug(e);
+ this._config.exceptionLogger?.(e);
+ }
+
+ span.end();
+ }
+
+ private _shouldSendPrompts() {
+ const contextShouldSendPrompts = context
+ .active()
+ .getValue(CONTEXT_KEY_ALLOW_TRACE_CONTENT);
+
+ if (contextShouldSendPrompts !== undefined) {
+ return contextShouldSendPrompts;
+ }
+
+ return this._config.traceContent !== undefined
+ ? this._config.traceContent
+ : true;
+ }
+}
diff --git a/packages/instrumentation-cerebras/src/types.ts b/packages/instrumentation-cerebras/src/types.ts
new file mode 100644
index 00000000..62687c77
--- /dev/null
+++ b/packages/instrumentation-cerebras/src/types.ts
@@ -0,0 +1,14 @@
+import { InstrumentationConfig } from "@opentelemetry/instrumentation";
+
+export interface CerebrasInstrumentationConfig extends InstrumentationConfig {
+ /**
+ * Whether to log prompts, completions and embeddings on traces.
+ * @default true
+ */
+ traceContent?: boolean;
+
+ /**
+ * A custom logger to log any exceptions that happen during span creation.
+ */
+ exceptionLogger?: (e: Error) => void;
+}
diff --git a/packages/instrumentation-cerebras/tests/instrumentation.test.ts b/packages/instrumentation-cerebras/tests/instrumentation.test.ts
new file mode 100644
index 00000000..e9a2dab3
--- /dev/null
+++ b/packages/instrumentation-cerebras/tests/instrumentation.test.ts
@@ -0,0 +1,347 @@
+/*
+ * Copyright Traceloop
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+import * as assert from "assert";
+
+import { context } from "@opentelemetry/api";
+import { AsyncHooksContextManager } from "@opentelemetry/context-async-hooks";
+import {
+ BasicTracerProvider,
+ InMemorySpanExporter,
+ SimpleSpanProcessor,
+} from "@opentelemetry/sdk-trace-base";
+
+import * as CerebrasModule from "@cerebras/cerebras_cloud_sdk";
+
+import { CerebrasInstrumentation } from "../src/instrumentation";
+
+import { Polly, setupMocha as setupPolly } from "@pollyjs/core";
+import NodeHttpAdapter from "@pollyjs/adapter-node-http";
+import FSPersister from "@pollyjs/persister-fs";
+import { SpanAttributes } from "@traceloop/ai-semantic-conventions";
+import { ChatCompletion } from "@cerebras/cerebras_cloud_sdk/resources/chat/completions";
+
+const memoryExporter = new InMemorySpanExporter();
+
+Polly.register(NodeHttpAdapter);
+Polly.register(FSPersister);
+
+describe("Test Cerebras instrumentation", async function () {
+ const provider = new BasicTracerProvider();
+ let instrumentation: CerebrasInstrumentation;
+ let contextManager: AsyncHooksContextManager;
+ let cerebras: CerebrasModule.Cerebras;
+
+ setupPolly({
+ adapters: ["node-http"],
+ persister: "fs",
+ recordIfMissing: process.env.RECORD_MODE === "NEW",
+ matchRequestsBy: {
+ headers: false,
+ },
+ });
+
+ before(async () => {
+ if (process.env.RECORD_MODE !== "NEW") {
+ process.env.CEREBRAS_API_KEY = "test-key";
+ }
+ provider.addSpanProcessor(new SimpleSpanProcessor(memoryExporter));
+ instrumentation = new CerebrasInstrumentation();
+ instrumentation.setTracerProvider(provider);
+
+ const cerebrasModule: typeof CerebrasModule = await import(
+ "@cerebras/cerebras_cloud_sdk"
+ );
+ cerebras = new cerebrasModule.Cerebras();
+ });
+
+ beforeEach(function () {
+ contextManager = new AsyncHooksContextManager().enable();
+ context.setGlobalContextManager(contextManager);
+
+ const { server } = this.polly as Polly;
+ server.any().on("beforePersist", (_req, recording) => {
+ recording.request.headers = recording.request.headers.filter(
+ ({ name }: { name: string }) => name !== "authorization",
+ );
+ });
+ });
+
+ afterEach(async () => {
+ memoryExporter.reset();
+ context.disable();
+ });
+
+ it("should set attributes in span for completions", async () => {
+ const result = await cerebras.completions.create({
+ model: "llama-3.1-8b",
+ max_tokens: 300,
+ prompt: `Tell me a joke about OpenTelemetry`,
+ });
+ if ("error" in result) {
+ throw new Error(result.error as string);
+ }
+
+ const spans = memoryExporter.getFinishedSpans();
+ const completionSpan = spans.find(
+ (span) => span.name === "cerebras.completion",
+ );
+
+ assert.ok(result);
+ assert.ok(completionSpan);
+ assert.strictEqual(
+ completionSpan.attributes[`${SpanAttributes.LLM_REQUEST_MODEL}`],
+ "llama-3.1-8b",
+ );
+ assert.strictEqual(
+ completionSpan.attributes[`${SpanAttributes.LLM_REQUEST_MAX_TOKENS}`],
+ 300,
+ );
+ assert.strictEqual(
+ completionSpan.attributes[`${SpanAttributes.LLM_RESPONSE_MODEL}`],
+ "llama3.1-8b",
+ );
+ assert.strictEqual(
+ completionSpan.attributes[`${SpanAttributes.LLM_PROMPTS}.0.role`],
+ "user",
+ );
+ assert.strictEqual(
+ completionSpan.attributes[`${SpanAttributes.LLM_PROMPTS}.0.content`],
+ `Tell me a joke about OpenTelemetry`,
+ );
+ assert.strictEqual(
+ completionSpan.attributes[`${SpanAttributes.LLM_COMPLETIONS}.0.role`],
+ "assistant",
+ );
+ assert.strictEqual(
+ completionSpan.attributes[`${SpanAttributes.LLM_COMPLETIONS}.0.content`],
+ result.choices![0].text,
+ );
+ assert.equal(
+ completionSpan.attributes[`${SpanAttributes.LLM_USAGE_PROMPT_TOKENS}`],
+ 9,
+ );
+ assert.equal(
+ completionSpan.attributes[
+ `${SpanAttributes.LLM_USAGE_COMPLETION_TOKENS}`
+ ],
+ 300,
+ );
+ assert.equal(
+ +completionSpan.attributes[`${SpanAttributes.LLM_USAGE_PROMPT_TOKENS}`]! +
+ +completionSpan.attributes[
+ `${SpanAttributes.LLM_USAGE_COMPLETION_TOKENS}`
+ ]!,
+ completionSpan.attributes[`${SpanAttributes.LLM_USAGE_TOTAL_TOKENS}`],
+ );
+ }).timeout(30000);
+
+ it("should set attributes in span for completions (streaming)", async () => {
+ const result = await cerebras.completions.create({
+ model: "llama-3.1-8b",
+ max_tokens: 300,
+ prompt: `Tell me a joke about OpenTelemetry`,
+ stream: true,
+ });
+
+ let completion = "";
+ for await (const chunk of result) {
+ assert.ok(chunk);
+ completion += chunk.choices[0].text;
+ }
+
+ const spans = memoryExporter.getFinishedSpans();
+ const completionSpan = spans.find(
+ (span) => span.name === "cerebras.completion",
+ );
+
+ assert.ok(completionSpan);
+ assert.strictEqual(
+ completionSpan.attributes[`${SpanAttributes.LLM_REQUEST_MODEL}`],
+ "llama-3.1-8b",
+ );
+ assert.strictEqual(
+ completionSpan.attributes[`${SpanAttributes.LLM_REQUEST_MAX_TOKENS}`],
+ 300,
+ );
+ assert.strictEqual(
+ completionSpan.attributes[`${SpanAttributes.LLM_RESPONSE_MODEL}`],
+ "llama3.1-8b",
+ );
+ assert.strictEqual(
+ completionSpan.attributes[`${SpanAttributes.LLM_PROMPTS}.0.role`],
+ "user",
+ );
+ assert.strictEqual(
+ completionSpan.attributes[`${SpanAttributes.LLM_PROMPTS}.0.content`],
+ `Tell me a joke about OpenTelemetry`,
+ );
+ assert.strictEqual(
+ completionSpan.attributes[`${SpanAttributes.LLM_COMPLETIONS}.0.role`],
+ "assistant",
+ );
+ assert.strictEqual(
+ completionSpan.attributes[`${SpanAttributes.LLM_COMPLETIONS}.0.content`],
+ completion,
+ );
+ assert.equal(
+ completionSpan.attributes[`${SpanAttributes.LLM_USAGE_PROMPT_TOKENS}`],
+ 9,
+ );
+ assert.equal(
+ completionSpan.attributes[
+ `${SpanAttributes.LLM_USAGE_COMPLETION_TOKENS}`
+ ],
+ 300,
+ );
+ assert.equal(
+ +completionSpan.attributes[`${SpanAttributes.LLM_USAGE_PROMPT_TOKENS}`]! +
+ +completionSpan.attributes[
+ `${SpanAttributes.LLM_USAGE_COMPLETION_TOKENS}`
+ ]!,
+ completionSpan.attributes[`${SpanAttributes.LLM_USAGE_TOTAL_TOKENS}`],
+ );
+ }).timeout(30000);
+
+ it("should set attributes in span for messages", async () => {
+ const completion = await cerebras.chat.completions.create({
+ max_tokens: 1024,
+ messages: [
+ { role: "user", content: "Tell me a joke about OpenTelemetry" },
+ ],
+ model: "llama-3.1-8b",
+ });
+
+ if ("error" in completion) {
+ throw new Error(completion.error as string);
+ }
+ const choice = completion
+ .choices?.[0] as ChatCompletion.ChatCompletionResponse.Choice;
+ if (!choice) {
+ throw new Error("No choice from completion");
+ }
+
+ const spans = memoryExporter.getFinishedSpans();
+ const chatSpan = spans.find((span) => span.name === "cerebras.chat");
+
+ assert.ok(completion);
+ assert.ok(chatSpan);
+ assert.strictEqual(
+ chatSpan.attributes[`${SpanAttributes.LLM_REQUEST_MODEL}`],
+ "llama-3.1-8b",
+ );
+ assert.strictEqual(
+ chatSpan.attributes[`${SpanAttributes.LLM_RESPONSE_MODEL}`],
+ "llama3.1-8b",
+ );
+ assert.strictEqual(
+ chatSpan.attributes[`${SpanAttributes.LLM_REQUEST_MAX_TOKENS}`],
+ 1024,
+ );
+ assert.strictEqual(
+ chatSpan.attributes[`${SpanAttributes.LLM_PROMPTS}.0.role`],
+ "user",
+ );
+ assert.strictEqual(
+ chatSpan.attributes[`${SpanAttributes.LLM_PROMPTS}.0.content`],
+ `Tell me a joke about OpenTelemetry`,
+ );
+ assert.strictEqual(
+ chatSpan.attributes[`${SpanAttributes.LLM_COMPLETIONS}.0.role`],
+ "assistant",
+ );
+ assert.strictEqual(
+ chatSpan.attributes[`${SpanAttributes.LLM_COMPLETIONS}.0.content`],
+ choice.message.content as string,
+ );
+ assert.equal(
+ chatSpan.attributes[`${SpanAttributes.LLM_USAGE_PROMPT_TOKENS}`],
+ 43,
+ );
+ assert.equal(
+ chatSpan.attributes[`${SpanAttributes.LLM_USAGE_COMPLETION_TOKENS}`],
+ 25,
+ );
+ assert.equal(
+ +chatSpan.attributes[`${SpanAttributes.LLM_USAGE_PROMPT_TOKENS}`]! +
+ +chatSpan.attributes[`${SpanAttributes.LLM_USAGE_COMPLETION_TOKENS}`]!,
+ chatSpan.attributes[`${SpanAttributes.LLM_USAGE_TOTAL_TOKENS}`],
+ );
+ }).timeout(30000);
+
+ it("should set attributes in span for messages (streaming)", async () => {
+ const stream = await cerebras.chat.completions.create({
+ max_tokens: 1024,
+ messages: [
+ { role: "user", content: "Tell me a joke about OpenTelemetry" },
+ ],
+ model: "llama-3.1-8b",
+ stream: true,
+ });
+
+ let content = "";
+ for await (const chunk of stream) {
+ assert.ok(chunk);
+ content += (chunk as any).choices[0]?.delta?.content || "";
+ }
+
+ const spans = memoryExporter.getFinishedSpans();
+ const chatSpan = spans.find((span) => span.name === "cerebras.chat");
+
+ assert.ok(chatSpan);
+ assert.strictEqual(
+ chatSpan.attributes[`${SpanAttributes.LLM_REQUEST_MODEL}`],
+ "llama-3.1-8b",
+ );
+ assert.strictEqual(
+ chatSpan.attributes[`${SpanAttributes.LLM_RESPONSE_MODEL}`],
+ "llama3.1-8b",
+ );
+ assert.strictEqual(
+ chatSpan.attributes[`${SpanAttributes.LLM_REQUEST_MAX_TOKENS}`],
+ 1024,
+ );
+ assert.strictEqual(
+ chatSpan.attributes[`${SpanAttributes.LLM_PROMPTS}.0.role`],
+ "user",
+ );
+ assert.strictEqual(
+ chatSpan.attributes[`${SpanAttributes.LLM_PROMPTS}.0.content`],
+ `Tell me a joke about OpenTelemetry`,
+ );
+ assert.strictEqual(
+ chatSpan.attributes[`${SpanAttributes.LLM_COMPLETIONS}.0.role`],
+ "assistant",
+ );
+ assert.strictEqual(
+ chatSpan.attributes[`${SpanAttributes.LLM_COMPLETIONS}.0.content`],
+ content,
+ );
+ assert.equal(
+ chatSpan.attributes[`${SpanAttributes.LLM_USAGE_PROMPT_TOKENS}`],
+ 43,
+ );
+ assert.equal(
+ chatSpan.attributes[`${SpanAttributes.LLM_USAGE_COMPLETION_TOKENS}`],
+ 39,
+ );
+ assert.equal(
+ +chatSpan.attributes[`${SpanAttributes.LLM_USAGE_PROMPT_TOKENS}`]! +
+ +chatSpan.attributes[`${SpanAttributes.LLM_USAGE_COMPLETION_TOKENS}`]!,
+ chatSpan.attributes[`${SpanAttributes.LLM_USAGE_TOTAL_TOKENS}`],
+ );
+ }).timeout(30000);
+});
diff --git a/packages/instrumentation-cerebras/tsconfig.json b/packages/instrumentation-cerebras/tsconfig.json
new file mode 100644
index 00000000..b3a39865
--- /dev/null
+++ b/packages/instrumentation-cerebras/tsconfig.json
@@ -0,0 +1,10 @@
+{
+ "extends": "../../tsconfig.base.json",
+ "compilerOptions": {
+ "outDir": "dist",
+ "rootDir": "."
+ },
+ "files": [],
+ "include": ["src/**/*.ts", "tests/**/*.ts", "package.json"],
+ "references": []
+}