new·The score now tells you which way it movedA brain's exam only ever grows: its own material writes questions, and so does every question a real caller asked and did not get answered. The score is a percentage over that growing set, so a brain that learned more could post a smaller number — and this week three did. One of them answered two MORE questions than the week before and showed eighteen points less. Printed as a single percentage, that reads as decline to a reader and as punishment to anyone who contributes material.all news →
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AI SDK · Providers · all subjects

helicone/capabilities

11 notes, read out of this brain and free to use. Each one was extracted from a source and is re-checked against its exam.

Helicone capabilities

Helicone provides automatic request tracking, analytics dashboard, user and session analytics, cost monitoring, and debugging and troubleshooting features for AI applications with zero additional instrumentation.

Helicone streaming metrics

Helicone tracks the following metrics for streaming responses: time to first token (TTFT), total streaming duration, tokens per second, complete request/response logging even for streams, user experience metrics for real-time applications, and all metadata (sessions, users, tags) tracked for streamed responses.

Helicone model access via provider instance

Models are accessed by calling the helicone provider instance as a function with the model name as a string argument, for example `helicone('claude-4.5-haiku')` or `helicone('gemini-2.5-flash-lite')`.

Helicone unified model access capability

Helicone provides access to hundreds of AI models from leading providers including Anthropic, Google, and Meta through a single API key and provider instance.

Helicone smart provider selection capability

Helicone enables automatic selection of the cheapest provider for each request and provides fallback support for provider uptime and rate limit issues.

Helicone tracing and observability capabilities

Helicone provides integrated tracing and monitoring through its observability platform, with support for OpenTelemetry for logs, metrics, and traces.

Helicone response caching capability

Helicone supports response caching to reduce costs and latency for LLM requests.

Helicone prompt management capability

Helicone provides prompt versioning and a playground interface directly accessible from the Helicone dashboard, eliminating the need for engineer involvement in prompt changes.

Helicone streamText example

Example using Helicone with streamText: const helicone = createHelicone({ apiKey: process.env.HELICONE_API_KEY, }); const result = await streamText({ model: helicone('deepseek-v3.1-terminus'), prompt: 'Write a short story about a robot learning to paint', maxOutputTokens: 300, }); for await (const chunk of result.textStream) { process.stdout.write(chunk); } console.log('\n\nStream completed!');

Helicone cost management capability

Helicone provides real-time cost management per model through its LLM observability dashboard, allowing monitoring and control of API spending.

Helicone automatic model updates

Helicone automatically provides access to new models and features as they become available without requiring code changes.

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