[bot] Cerebras Cloud TypeScript SDK (`@cerebras/cerebras_cloud_sdk`) not instrumented — no tracing for fast-inference chat completions or embeddings

[braintrust-bot]

Summary

Cerebras publishes an official TypeScript SDK for their ultra-fast LLM inference API: @cerebras/cerebras_cloud_sdk on npm (v1.64.1, actively maintained). It provides execution APIs for chat completions, completions, embeddings, and streaming responses. The SDK has its own HTTP client based on node-fetch — it does not depend on the openai npm package. This repository has zero instrumentation for any Cerebras SDK surface — no wrapper, no channels, no plugin, no auto-instrumentation config. Users who call @cerebras/cerebras_cloud_sdk directly get no Braintrust spans.

What instrumentation is missing

The @cerebras/cerebras_cloud_sdk npm package exposes these execution surfaces, none of which are instrumented:

SDK Method	Description
client.chat.completions.create({ model, messages })	Chat completions with tool use, structured outputs, and reasoning
client.chat.completions.create({ ..., stream: true })	Streaming chat completions
client.completions.create({ model, prompt })	Raw text completions
client.embeddings.create(...)	Text embeddings

Cerebras is notable for extremely low-latency LLM inference (their wafer-scale hardware delivers tokens significantly faster than GPU-based providers), making observability especially valuable for latency-sensitive production workloads.

No coverage in any instrumentation layer:

• No wrapper function (e.g. wrapCerebras())
• No diagnostics channels for Cerebras methods
• No plugin handler in js/src/instrumentation/plugins/
• No auto-instrumentation config in js/src/auto-instrumentations/configs/
• No e2e test scenarios
• Grep for cerebras (case-insensitive) across js/src/ returns zero matches

Indirect coverage is insufficient:

Braintrust's Cerebras integration page documents a gateway/OpenAI SDK approach only — using the openai npm client pointed at the Braintrust gateway to route to Cerebras models. Users who call @cerebras/cerebras_cloud_sdk directly get no spans at all. The Cerebras SDK has its own separate HTTP layer (runtime deps: node-fetch, abort-controller, agentkeepalive, form-data-encoder, formdata-node) and is not patched by the existing openai auto-instrumentation.

Braintrust docs status

not_found for direct SDK instrumentation. The Braintrust Cerebras integration page documents a gateway/OpenAI SDK approach only and does not reference @cerebras/cerebras_cloud_sdk.

• https://www.braintrust.dev/docs/integrations/ai-providers/cerebras

Upstream references

• @cerebras/cerebras_cloud_sdk npm: https://www.npmjs.com/package/@cerebras/cerebras_cloud_sdk
• Cerebras Cloud SDK Node.js GitHub: https://github.com/Cerebras/cerebras-cloud-sdk-node
• Cerebras inference quickstart: https://inference-docs.cerebras.ai/quickstart
• Cerebras API reference: https://inference-docs.cerebras.ai/api-reference/chat-completions

Local files inspected

• js/src/auto-instrumentations/configs/ — full config list: anthropic.ts, openai.ts, ai-sdk.ts, groq.ts, mistral.ts, cohere.ts, huggingface.ts, google-genai.ts, google-adk.ts, genkit.ts, openai-agents.ts, openrouter.ts, openrouter-agent.ts, claude-agent-sdk.ts, cursor-sdk.ts, github-copilot.ts, openai-codex.ts, flue.ts — no Cerebras config present
• js/src/wrappers/ — no cerebras.ts wrapper file
• js/src/instrumentation/plugins/ — no Cerebras channels or plugin
• e2e/scenarios/ — no Cerebras test scenarios
• Full repo grep for cerebras (case-insensitive) in js/src/ — zero matches
• Cerebras SDK package.json (GitHub) — confirmed runtime deps are node-fetch/agentkeepalive/form-data-encoder; no openai dependency