为什么选它
Helicone’s pitch is "observability without SDK buy-in". Change your OpenAI base URL to helicone.ai’s proxy and every request is logged automatically — no manual spans, no code changes, no new library. This is the fastest way to add production-grade LLM observability to an existing codebase.
The platform then layers analytics on top of logs: per-user cost, per-feature latency, request outliers, model-switch A/B tests. You get most of what Langfuse offers for tracing, without having to instrument your code.
Where Helicone is weaker: deep agentic traces. A single LLM call is a flat log entry; a multi-step agent that calls 10 tools becomes 10 entries without nested relationships. Langfuse and Phoenix go deeper here — Helicone’s async-log model trades trace depth for zero integration cost.
Quick Start — Change One Line
The only required change is base_url + Helicone-Auth header. Property headers (Helicone-User-Id, Helicone-Property-*) power the analytics dashboards. All request/response content is logged by default — configurable redaction for compliance-sensitive data.
# pip install openai
from openai import OpenAI
client = OpenAI(
api_key="sk-...",
base_url="https://oai.helicone.ai/v1", # was api.openai.com
default_headers={
"Helicone-Auth": "Bearer sk-helicone-...",
# Optional — feature/user tagging
"Helicone-User-Id": "william@example.com",
"Helicone-Property-Feature": "onboarding-chat",
},
)
resp = client.chat.completions.create(
model="gpt-4o-mini",
messages=[{"role": "user", "content": "Hi"}],
)
# Dashboard now shows: latency, token cost, user "william", feature "onboarding-chat".
# Works for Anthropic, Azure, AWS Bedrock, Gemini, Together, etc. — each has
# its own proxy host in Helicone docs.核心能力
Proxy-based logging
Zero SDK integration. Change base URL, Helicone logs everything. Works with every OpenAI-compatible client, plus native integrations for Anthropic, Azure, Bedrock, Gemini, Together.
User and feature analytics
Tag requests with user IDs and property headers. Dashboards slice latency, cost, and error rates by any dimension.
Prompt experiments
Built-in prompt versioning and A/B tests. Compare output quality and cost across prompt variants on real production traffic.
Caching & rate-limits (optional)
Helicone acts as a gateway too — enable caching or rate limits for your proxy path. Fewer features than a dedicated gateway but useful as a free layer.
OSS + cloud
Apache 2.0. Self-host the full stack for zero license cost; use Helicone Cloud for managed convenience.
Webhooks and alerts
Trigger workflows on cost thresholds, error spikes, or unusual user activity. Integrates with Slack, PagerDuty, and generic webhooks.
对比
| Integration Style | Trace Depth | Prompt Experiments | OSS? | |
|---|---|---|---|---|
| Heliconethis | Proxy (base URL change) | Per-request (flat) | Yes | Yes |
| Langfuse | SDK + OTEL | Nested spans + eval loops | Yes | Yes |
| Arize Phoenix | OpenTelemetry | Span-level + eval | Via playground | Yes |
| Traceloop | OTEL instrumentation | Span-level | Limited | OSS agent |
实际用例
01. Adding observability to legacy code
Apps where you can’t easily rewire SDK calls. Change base URL in one place, every LLM request logged. Common scenario: inherited codebase, contractor code, third-party libraries making LLM calls.
02. Cost allocation in multi-tenant apps
Tag each request with user/tenant ID via headers. Dashboards break down spend per tenant — critical for chargeback or per-tier pricing.
03. Quick prompt A/B tests
Ship prompt variants on a slice of traffic, compare outputs in the Helicone UI, roll winner out. No separate experimentation infra.
价格与许可
Helicone: Apache 2.0 open source. Self-host for free — includes full proxy, analytics, and prompt experiments.
Helicone Cloud: free tier up to ~10K requests/month; usage-based paid plans beyond. Enterprise adds SSO, SOC 2, dedicated support.
Cost note: the proxy path itself is free — you pay for log storage and analytics compute. Self-hosting eliminates even that.
相关 TokRepo 资产
常见问题
Helicone vs Langfuse?+
Helicone: proxy-based, zero code change, flat per-request logs. Langfuse: SDK-based, richer nested traces and evaluation loops. Pick Helicone for speed-to-value, Langfuse for depth.
Does the proxy add latency?+
Typically 10-30ms. Helicone logs asynchronously — once the request clears the proxy, logging happens in background. Hot path latency is dominated by your chosen LLM’s upstream latency, not Helicone.
Can I use Helicone as my only gateway?+
Yes for observability + optional caching. For heavy routing/fallback logic, pair with a dedicated gateway (Portkey, LiteLLM, Cloudflare). Helicone handles the observability; the gateway handles reliability.
Is request content logged by default?+
Yes — prompts and completions are stored. Configure field-level redaction or disable content logging entirely for compliance needs. Self-host if you need data to never leave your network.
Does Helicone support tool calls and streaming?+
Yes. Tool calls are captured as part of the log entry. Streaming responses are buffered and logged after completion — the client still gets SSE stream in real time.