PrefactorvsHeliconevsLangSmith

Helicone vs LangSmith: how to choose

Helicone is an Apache-2.0 request logger and AI gateway that has received only patches and model support since March 2026. For a new deployment, LangSmith is usually the practical choice, since Helicone is not taking new cloud sign-ups; existing Helicone users can keep a self-hosted copy running while they plan a move.[3][4]

support-agent v4 · one run, two layersexample
Illustrative run, showing what each layer tells you
Helicone / LangSmithsee
fetch_customer212ms · 1.2k tok
apply_refund1.4s · 3.1k tok
send_reply340ms · 0.8k tok
trace recorded, no verdict
Prefactoradds
Did its job✓ yes
Quality84 / 100
Cost$0.42 · in budget
Drift vs baselinenone
✓ a run that breaches its schema is held for review
§01 / THE SHORT ANSWERtl;dr: which, and when
TL;DR

What is the difference between Helicone and LangSmith?

The main difference is status: Helicone has been in maintenance mode since March 2026, with new cloud sign-ups disabled, while LangSmith is LangChain's actively developed platform for tracing and evaluating agents. Mintlify acquired Helicone in March 2026, and on 19 October 2026 Helicone said it is no longer part of Mintlify, with no new owner named. For a new deployment, LangSmith is usually the practical choice; existing Helicone users should plan a migration.

The short answer

At a glance (checked 20 October 2026)

Decision factorHeliconeLangSmith
StatusMaintenance mode since March 2026; new cloud sign-ups disabledActive development; Engine v2 and Trajectory view shipped September 2026
OwnershipUnclear: says it left Mintlify on 19 October 2026, no new owner namedLangChain, independent; $125M Series B in October 2025
How it captures dataProxy or AI Gateway in the request path; async SDKs also availableAsync SDK or OpenTelemetry, out of the request path; optional gateway
Agent tracingHeader-based session grouping, not a span modelNested runs, threads and a Trajectory view across subagents
EvaluationNot an evaluation framework, by its own docs; Python evaluators turned off October 2026Offline and online evals with LLM-as-judge, pairwise and code evaluators
Licence and self-hostingApache-2.0; free to self-host with Docker or HelmProprietary; self-hosting is an Enterprise add-on
PricingHobby free, Pro $79 a month, Team $799 a month; new accounts cannot sign upDeveloper free for 1 seat; Plus $39 per seat a month
§02 / CAPABILITY MATRIXside by side: what each covers
Side by side

Helicone vs LangSmith: capabilities side by side

CapabilityHeliconeLangSmithPrefactor
Observe
LLM call tracing✓✓✓
Multi-step agent tracing (tool calls, nested spans)Partial✓✓
Cost tracking✓✓✓
OpenTelemetry supportPartial✓✓
Evaluate
Offline evals (datasets, experiments)Partial✓✓
Online evals on production trafficPartial✓✓
LLM-as-a-judge scoringPartial✓✓
Code-based evaluators—✓✓
Human review and annotationPartial✓✓
Prompt versioning and playground✓✓—
Act on findings
Runtime controls on live agent actionsPartialPartial✓
Gateway or proxy in the request path✓——
Licence and deployment
Open source✓PartialPartial
Self-hosting✓✓Partial
§03 / IN DEPTHdetail: the reasoning
In depth

Helicone's status decides most of this

Mintlify announced its acquisition of Helicone on 3 March 2026 and moved the product to maintenance: vulnerability patches, bug fixes and support for new models, with help for customers to migrate elsewhere. The cloud sign-up page has shown that sign-ups are disabled since the same day, and the last feature entry in Helicone's changelog is from November 2025. On 19 October 2026 Helicone's site began saying it is no longer part of Mintlify, with details to come and no new owner named.

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Work still lands in the open-source repository. In October 2026 a batch of fixes hardened self-hosted Helicone, Python evaluators were turned off, and calls to its judge models were rate limited. In May 2026 an AWS account lock took the dashboard and log processing down for about four days while the proxy stayed up. For a team choosing a tool today, a product with no new sign-ups and an unnamed owner is hard to build on, which is why LangSmith, or another actively developed platform, is usually the practical choice.

Different jobs: a request logger and gateway, or an agent platform

Helicone was built as a gateway. You change your provider base URL and it logs every request, with cost per request, caching, failover, rate limits and a prompt registry. Its own documentation says it is not an evaluation framework. Agent runs are grouped through session headers rather than a span model, and its prompt-injection blocking works with OpenAI models only.

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LangSmith traces out of the request path through its SDK or OpenTelemetry, models agents as nested runs and threads, and covers the evaluation loop Helicone leaves to other tools: datasets, experiments, online evaluators, annotation queues and Engine. Its LLM Gateway, in public beta since 30 July 2026, is optional and adds spend caps, model access policies and redaction to model calls; it does not cover tool calls.

Helicone's strengths were cost visibility and routing: exact per-request cost through its model registry, pricing for over 300 models, cost alerts and a single endpoint for more than 100 providers. LangSmith calculates cost automatically for most OpenAI, Anthropic and Gemini models and accepts manual costs for others, including tool calls.

If you run Helicone today

Nothing forces an immediate move. The main repository is Apache-2.0, so a self-hosted copy keeps working, and the cloud service still runs for existing accounts. Note that the self-hosted Docker image no longer proxies LLM traffic on its own; the separate AI Gateway, GPL-3.0 and last updated in November 2025, has to run beside it.

Read more

To move tracing to LangSmith, two routes exist. Helicone's async logging is built on OpenLLMetry, and LangSmith's OTLP endpoint maps OpenLLMetry and Traceloop attributes, so existing instrumentation can often be repointed. Or add LangSmith's SDK wrappers for OpenAI and Anthropic. If you relied on Helicone's gateway for spend limits, LangSmith's LLM Gateway is also switched on by changing the provider base URL, but it is in beta and does not list caching or failover. Export prompts and datasets before you switch, since nothing migrates them automatically.

Pricing shape

As of 20 October 2026, Helicone lists Hobby free with 10K requests and 7-day retention, Pro at $79 a month and Team at $799 a month, but new customers cannot sign up for any tier. LangSmith's Developer tier is free for one seat and 5k base traces a month, Plus is $39 per seat a month with 10k base traces, and the per-trace overage rate is not published. See Helicone's pricing and LangSmith's pricing.

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Helicone's free Hobby tier includes 1 GB of storage, one seat and 7-day retention, and Pro includes unlimited seats with one month of retention, but those figures only matter to accounts that already exist. For a new team the useful comparison is LangSmith against another actively developed platform, not against Helicone's price list.

§04 / THE QUALITY GAPour take: where it stops
Our take

Where Prefactor fits

We sell the layer this section describes. Read it with that in mind.

Stated plainly, since Prefactor publishes this page: Prefactor is an agent evaluation platform that scores each step of a run and acts on what it finds through runtime policies on tool calls and data access, approval holds for risky actions, and a kill switch for a run, an agent or a team. Helicone can block prompt injection for OpenAI models and LangSmith's gateway can cap spend and redact model calls, but neither holds a tool action for a person. If you are leaving Helicone, Prefactor accepts OpenTelemetry traces. It has no gateway, no prompt playground or prompt registry, and it is hosted. See the full comparison of 15 platforms.

See it on your own agents

A working session on a fleet like yours: watch a run evaluated, catch a drift, walk the record.

§05 / WHICH TO PICKdecide: by your stack
Which to pick

Which one fits

Stay on Helicone for now if

  • You already run it, ideally self-hosted, and it does what you need.
  • You mainly need request logging and per-request cost, not evaluation.
  • You have a migration plan and a date, rather than an open-ended wait.
  • An Apache-2.0 codebase you can maintain yourself is acceptable.

Pick LangSmith if

  • You are starting a new deployment and need a product that takes sign-ups.
  • You need offline and online evals, annotation queues and datasets.
  • You build on LangChain, LangGraph or Deep Agents.
  • You want an actively developed vendor with a named owner.
§06 / HOW WE REVIEWEDsources: checked October 20, 2026
Methodology

How we reviewed this comparison

Reviewed against public product and documentation pages on October 20, 2026. If a vendor has changed a feature, product name, or positioning since then, send a correction and we will update it. Numbered source links in the page body point to the ordered sources below.

Sources reviewed

  1. Helicone pricingChecked 2026-10-20.
  2. Helicone documentation
  3. Helicone ownership and status
  4. LangSmith pricingChecked 2026-10-20.
  5. LangSmith documentation
  6. LangSmith website
  7. Prefactor platform
Prefactor context

Methodology

  • Reviewed public product, documentation, and launch material visible at the time of writing.
  • Mapped each page to the primary buyer, control layer, and runtime capabilities each vendor describes publicly.
  • Prefer direct product and documentation pages over analyst summaries or reseller material.
§07 / QUESTIONSfaq: the common ones
Questions
What is the difference between Helicone and LangSmith?
Helicone is an open-source request logger and AI gateway that has been in maintenance mode since March 2026, with new cloud sign-ups disabled. LangSmith is LangChain's actively developed platform for tracing, evaluating, versioning prompts and deploying agents.
How does Prefactor compare with Helicone and LangSmith?
Prefactor is an agent evaluation platform for teams building AI agents: it observes every agent run from development to production, evaluates whether the agent did its job, and shows how to improve it. As of 20 October 2026, Prefactor can block or hold a live agent action; Helicone and LangSmith do so in part. Prefactor scores live production traffic automatically; LangSmith does too and Helicone does so in part. Helicone and LangSmith both include prompt versioning and a playground. Prefactor evaluates how prompts perform in live runs rather than providing a prompt playground or registry.
Can I still sign up for Helicone?
Not for the cloud service. Helicone's sign-up page has said sign-ups are disabled since 3 March 2026. The Apache-2.0 code can still be self-hosted with Docker or Helm.
How do I migrate from Helicone to LangSmith?
Helicone's async logging uses OpenLLMetry instrumentation, and LangSmith's OpenTelemetry endpoint maps OpenLLMetry and Traceloop attributes, so many teams can repoint existing instrumentation. Others add LangSmith's SDK wrappers. Export prompts and datasets first, since they do not move automatically.
Does LangSmith replace Helicone's gateway?
Partly. LangSmith's LLM Gateway, in public beta, sits in the model-call path and adds spend caps, model access policies and redaction. LangSmith's documentation does not list the caching and failover Helicone's gateway offered, so check those needs separately.
What happened to Helicone in October 2026?
On 19 October 2026 Helicone replaced its acquisition notice with a banner saying it is no longer part of Mintlify, with details to come. No new owner has been named, and the product remains in maintenance mode.
Who owns Helicone?
As of 20 October 2026: Unclear. Mintlify acquired Helicone in March 2026 and moved it to maintenance mode. On 19 October 2026 Helicone began saying it is no longer part of Mintlify, with no new owner named.
Is Helicone open source?
Yes. The main repository is Apache-2.0 and can be self-hosted. Its separate Rust AI gateway is GPL-3.0 and has not been updated since November 2025.
How much does Helicone cost?
As of 20 October 2026: Hobby is free with 10K requests, Pro is $79 a month and Team $799 a month, with Enterprise custom. New cloud sign-ups have been disabled since March 2026, so new customers cannot start on any plan.
Can Helicone block or hold a live agent action?
Partly. Its gateway can block prompt injection and jailbreak attempts, for OpenAI models only, and apply rate limits. There are no approvals or policies on agent tool actions.
Who owns LangSmith?
As of 20 October 2026: LangChain, Inc., a privately held company that raised a $125M Series B at a $1.25B valuation in October 2025. No acquisition has been announced.
Is LangSmith open source?
Partly. The client SDKs are MIT-licensed and the LangChain frameworks are open source, but the LangSmith platform is proprietary. Self-hosting requires an Enterprise contract.
How much does LangSmith cost?
As of 20 October 2026: Developer is free for one seat and 5k base traces a month. Plus is $39 per seat a month with 10k base traces; the overage rate is not published. Enterprise is a custom annual contract.
Can LangSmith block or hold a live agent action?
Partly. The LLM Gateway, in public beta since July 2026, can cap spend, restrict models and redact personal data in model calls. It does not cover tool calls; LangChain describes tool and MCP gateways as planned.
Is Prefactor open source?
Partly. Its deterministic evals package is Apache-2.0; the platform is hosted.
How much does Prefactor cost?
As of 20 October 2026: Dev is free with 5,000 spans a month. Startup is $49 a month and Scaleup $199 a month. Enterprise is custom above 4 million spans a month.
Can Prefactor block or hold a live agent action?
Yes. Runtime policies can block, throttle, sandbox or escalate an agent's tool calls and data access before they run, approval routing holds risky actions for a person, and a kill switch stops a run, an agent or a team.
Reviewed against public sources on October 20, 2026Suggest a correction

Score the run, then act on it

Prefactor scores each step of every agent run and can hold or stop an action when a score says it should not happen. Start on the free tier: 5,000 spans a month, no credit card required.

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Claims Proc...68
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$170/moAmber
ChatGPT74
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See how every agent performs, and make it better

Prefactor helps teams observe, evaluate, and improve their AI agents in production, across every framework and provider.