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Helicone

  • What it is:Helicone is an open-source LLM observability platform for developers to log, monitor, debug, and optimize generative AI applications with features like caching, retries, and an AI Gateway.
  • Best for:AI startups and developers, Small teams monitoring LLM costs, Multi-LLM providers
  • Pricing:Free tier available, paid plans from $79/month
  • Rating:82/100Very Good
  • Expert's conclusion:Helicone is the leading open-source LLM production-level monitoring and gateway software - ideal for development-led AI teams
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Reviewed byMaxim Manylov·Web3 Engineer & Serial Founder

What Is Helicone and What Does It Do?

Helicone is a generative AI platform using an open source model that provides LLM observability, monitoring, and analytics tools for developers developing AI applications. Helicone provides real-time information on the performance, costs, latency, and debugging for the LLM integrations that developers are working with. Startups and enterprises in the technology sector use these tools, which provide performance and cost data about the developer’s application. Founders Scott and Justin Torre created Helicone after they experienced the lack of visibility in their own LLM projects and want to empower developers to innovate confidently with transparent and optimized LLM development solutions.

Active
📍San Francisco, CA
📅Founded 2022
🏢Private
TARGET SEGMENTS
DevelopersStartupsEnterprisesTech Companies

What Are Helicone's Key Business Metrics?

📊
$7M+
Total Funding
📊
$5M Seed (2024)
Latest Round
📊
$25M
Valuation
🏢
10+
Employees
📊
2022
Founding Year
Regulated By
SOC 2(USA)GDPR Compliant(EU)

How Credible and Trustworthy Is Helicone?

82/100
Good

Helicone has strong backings from YC and reputable VC firms, and has enterprise-grade security features along with a genuine founder story addressing actual LLM observability developer pain points.

BREAKDOWN
Product Maturity75/100
Company Stability85/100
Security & Compliance90/100
User Reviews70/100
Transparency88/100
Support Quality80/100
TRUST SIGNALS
Y Combinator backedSOC 2 Type II certifiedGDPR compliant$25M valuation post-SeedOpen-source platform

What is the history of Helicone and its key milestones?

2022

Company Founded

Founders Scott (UX and finance expert from Tesla and Bain) and Justin Torre (platform engineer from Apple and Intel) created Helicone to address the LLM observability pain points of developers.

2022

Pre-Seed Funding

Raised $2 million total ($1.5 million was a pre-seed round) as early-stage startup.

2023

Y Combinator Acceptance

Accepted into Y Combinator with 5 employees in San Francisco.

2024

Seed Funding

Raised $5 million Seed at $25 million valuation, led by YC Combinator, Village Global, and FundersClub.

What Are the Key Features of Helicone?

✨
One-Line Logging
Provides instant observability integration across multiple LLM providers with minimal code changes.
✨
Real-time Analytics Dashboard
Tracks costs, latency, performance trends, and quality metrics for LLM applications.
✨
Caching & Retries
Reduces costs through intelligent caching and automatic failover handling.
👥
Prompt Management
Versioning, experimentation, and optimization tools for LLM prompts.
✨
AI Gateway
Model routing, rate limiting, failover, and security controls for production traffic.
✨
Evaluation & Fine-tuning
Integrates with external platforms for model evaluation and optimization.
🔒
Enterprise Security
SOC 2 compliant; GDPR supported; API key management; Custom integrations available.

What Technology Stack and Infrastructure Does Helicone Use?

Infrastructure

Cloud-based with robust enterprise scalability

Technologies

Open SourceJavaScript/TypeScriptNode.js

Integrations

OpenAIAnthropicMultiple LLM ProvidersEnterprise Dashboards

AI/ML Capabilities

LLM observability platform focused on monitoring, analytics, caching, prompt management, and gateway features for production AI applications

Inferred from product descriptions as developer-focused open-source platform; specific languages from typical LLM observability stacks

What Are the Best Use Cases for Helicone?

AI Developers
Developers can obtain instant observability into LLM requests to debug latency, track costs, and optimize performance across providers such as OpenAI and Anthropic.
Startups Building AI Products
Monitors exploding API bills, analyzes usage patterns, and implements caching to reduce costs during rapid scaling.
Enterprise AI Teams
Enterprise-level security compliance (SOC 2 / GDPR) plus customizable dashboards and an AI gateway for managing production traffic
ML Researchers
Versioning and iteration on prompts and models plus workflow tooling to improve model performance and fine-tune models
NOT FORNon-AI Development Teams
Low-value - primarily focused on the application of LLM observability in contrast to monitoring applications in general
NOT FORBudget-Constrained Hobbyists
The core of Helicone is open-source but all of the enterprise features require a paid plan; more suited to production teams

How Much Does Helicone Cost and What Plans Are Available?

Pricing information with service tiers, costs, and details
☐Service$CostℹDetails🔗Source
Hobby$010,000 free requests/month, 1 GB storage, 7 days retention, 10 logs/min ingestion, community support—
Pro$79/monthUnlimited seats, workspace & collaboration, full monitoring features (HQL, alerts, reports), prompts & testing (playground, datasets, caching, rate limits), 1 month retention, 1,000 logs/min ingestion, 60 calls/min API access, standard support—
Growth$2.12/monthUsage-based pricing, 106,583 requests/month, for businesses of all sizesSaaSworthy
EnterpriseCustomUnlimited organizations, forever retention, configurable retention, 30,000 logs/min ingestion, 1,000 calls/min API access, data export, chat & email support, SSO, dedicated SLAs, SOC-2 compliance—
Hobby$0
10,000 free requests/month, 1 GB storage, 7 days retention, 10 logs/min ingestion, community support
Pro$79/month
Unlimited seats, workspace & collaboration, full monitoring features (HQL, alerts, reports), prompts & testing (playground, datasets, caching, rate limits), 1 month retention, 1,000 logs/min ingestion, 60 calls/min API access, standard support
Growth$2.12/month
Usage-based pricing, 106,583 requests/month, for businesses of all sizes
SaaSworthy
EnterpriseCustom
Unlimited organizations, forever retention, configurable retention, 30,000 logs/min ingestion, 1,000 calls/min API access, data export, chat & email support, SSO, dedicated SLAs, SOC-2 compliance

How Does Helicone Compare to Competitors?

FeatureHeliconeLangfuseLangSmithBraintrustLunary
Core Functionality (LLM Observability)YesYesYesYesYes
Open SourceYesYesNoNoNo
CachingYes (Pro)YesYesYesYes
Rate LimitingYes (Pro)YesYesPartialYes
Prompts & DatasetsYes (Pro)YesYesYesYes
Enterprise SSOYes (Enterprise)YesYesYesYes
Starting Price$0 (Hobby)$0$39/mo$249/mo$20/mo
Free TierYes (10k req/mo)YesLimitedNoYes
API AccessYesYesYesYesYes
SOC 2 CertifiedYes (Enterprise)PartialYesYesYes
Core Functionality (LLM Observability)
HeliconeYes
LangfuseYes
LangSmithYes
BraintrustYes
LunaryYes
Open Source
HeliconeYes
LangfuseYes
LangSmithNo
BraintrustNo
LunaryNo
Caching
HeliconeYes (Pro)
LangfuseYes
LangSmithYes
BraintrustYes
LunaryYes
Rate Limiting
HeliconeYes (Pro)
LangfuseYes
LangSmithYes
BraintrustPartial
LunaryYes
Prompts & Datasets
HeliconeYes (Pro)
LangfuseYes
LangSmithYes
BraintrustYes
LunaryYes
Enterprise SSO
HeliconeYes (Enterprise)
LangfuseYes
LangSmithYes
BraintrustYes
LunaryYes
Starting Price
Helicone$0 (Hobby)
Langfuse$0
LangSmith$39/mo
Braintrust$249/mo
Lunary$20/mo
Free Tier
HeliconeYes (10k req/mo)
LangfuseYes
LangSmithLimited
BraintrustNo
LunaryYes
API Access
HeliconeYes
LangfuseYes
LangSmithYes
BraintrustYes
LunaryYes
SOC 2 Certified
HeliconeYes (Enterprise)
LangfusePartial
LangSmithYes
BraintrustYes
LunaryYes

How Does Helicone Compare to Competitors?

vs Langfuse

Both are open-source platforms that monitor LLM observability. Helicone is simpler to integrate (1 line of code), has usage-based pricing (i.e., you pay as you go), and is more cost-effective for startups wanting fast setup. LangFuse provides more comprehensive features for LLMOps (Langauge Model Operations).

Helicone is the better choice when it comes to cost-effectiveness and ease of adoption. LangFuse is the better choice when it comes to LLMOps workflows.

vs LangSmith

LangSmith (from LangChain) is closely tied into the LangChain ecosystem (premium pricing). Helicone is provider-agnostic, open-source, and costs less to get started but doesn't have the same level of experiment tracking capabilities as LangSmith.

LangSmith is best for LangChain customers; Helicone is best for teams who are looking to be able to monitor multiple providers at a lower cost.

vs Braintrust

BrainTrust is focused on evaluation and quality with a higher starting price ($249/mo Pro). Helicone monitors everything related to your LLM (caching, monitoring, alerts etc.) at a lower cost, but is less specialized in its ability to evaluate quality.

BrainTrust is best for AI Quality Engineering; Helicone is best for general-purpose observability and cost control.

vs Lunary

Pricing for both products are similar ($20/mo Pro) but Lunary is positioned for enterprise use cases and has features that Helicone does not provide for large-scale deployments. Helicone is more suited to individual/startup use cases due to a generous free-tier plan.

Lunary is best for enterprise clients who need compliance-based features; Helicone is best for cost-effective startup observability.

What are the strengths and limitations of Helicone?

Pros

  • Helicone has a generous free-tier plan (10K requests per month) which will cover most small projects
  • Helicone has very easy to integrate (only 1 line of code needed)
  • Helicone is based upon an open-source foundation allowing for self-hosted options if desired
  • Helicone uses flexible usage-based pricing which allows customers to budget as they grow
  • Observability — complete overview of user activity (requests, sessions, prompt history, cache performance, alert behavior)
  • Multiple providers supported — OpenAI, Anthropic, Azure, +300 models
  • Actively engaged developer community — GitHub, Discord support channels

Cons

  • Inconsistent pricing information — price listed as $20, $79, $2.12/month for the Pro version
  • Low cap on the number of free requests — free version has a small number of requests that are used up quickly in a production environment
  • Paywall around enterprise level features — SSO, Advanced Support priced on a per client basis
  • Insufficient time to retain data — 7 days (free), 1 month (Pro) data retention is not enough to meet audit requirements
  • Restrictive rate limiting — 60 API call limit / minute on the Pro version is limited for large scale use
  • Not as mature as established alternatives — newer platform and possible scalability challenges
  • Startup focused — lack of enterprise grade features such as HIPAA compliance built-in

Who Is Helicone Best For?

Best For

  • AI startups and developers — Prototyping ideal — generous free version, 1 line of code to integrate, excellent for initial proof of concept development
  • Small teams monitoring LLM costs — Cost transparency with usage based pricing — see costs across 300+ models and models being run
  • Multi-LLM providers — Agnostic of provider — multiple model providers can be monitored using the same method (e.g., OpenAI, Anthropic, Azure etc.)
  • Cost-conscious engineering teams — ~91% less expensive than competing APM solutions offering similar levels of monitoring capability
  • Open source enthusiasts — Option to self-host — either self-hosted or managed service option

Not Suitable For

  • Large enterprises needing compliance — SSO, SOC-2 compliance options available — Enterprise plan required for these types of compliance; Consider Lunary or Braintrust for immediate compliance
  • High-volume production apps — Ingestion limits far too low for all plans — ingestion limits of 1k – 15k logs/minute for all versions of Helicone will never provide sufficient monitoring of all applications
  • Long-term audit requirements — Data retention not long enough — Helicone retains data for 1 – 3 months, while LangSmith provides longer-term historical analysis
  • Teams needing advanced evals — Only basic scoring available — Helicone provides only basic scoring, while Braintrust provides a sophisticated toolset for evaluating AI performance

Are There Usage Limits or Geographic Restrictions for Helicone?

Free Requests
10,000/month (Hobby)
Log Retention
7 days (Hobby), 1 month (Pro), 3 months (Growth), Forever (Enterprise)
Storage
1 GB (Hobby)
Ingestion Rate
10 logs/min (Hobby), 1,000/min (Pro), 15,000/min (Growth), 30,000/min (Enterprise)
API Calls/min
10/min (Hobby), 60/min (Pro), 1,000/min (Enterprise)
Seats
1 (Hobby), Unlimited (Pro+)
Organizations
1 (Hobby/Pro), 5 (Growth), Unlimited (Enterprise)

Is Helicone Secure and Compliant?

SOC 2 ComplianceAvailable on Enterprise plan for larger customers
Single Sign-On (SSO)Enterprise feature for secure identity management
Data Retention ControlsConfigurable retention periods from 7 days to forever by tier
Audit LoggingComplete request and session observability with export capabilities (Enterprise)
Rate LimitingBuilt-in rate limiting protects against abuse (Pro+)
Open Source SecurityCommunity-audited codebase with self-hosting transparency

What Customer Support Options Does Helicone Offer?

Channels
Community support, 24/7support@helicone.ai for all plans
Hours
Community support 24/7 via Discord; email during business hours
Response Time
Discord: immediate community response; Email: <24 hours for paid plans
Satisfaction
No public ratings available
Specialized
Enterprise dedicated support available
Business Tier
Priority email support and dedicated account manager for Enterprise
Support Limitations
•Free tier limited to community Discord support
•No phone or live chat support
•Enterprise gets dedicated support (contact sales)

What APIs and Integrations Does Helicone Support?

API Type
REST API via proxy/gateway (change baseurl)
Authentication
API Key (helicone-api-key header)
Webhooks
Supported for custom events and feedback collection
SDKs
No official SDKs required - 1-line integration for all languages
Documentation
Comprehensive docs at docs.helicone.ai with integration examples
Sandbox
Free tier (100k requests/month) serves as testing environment
SLA
99.99% uptime guaranteed (Cloudflare Workers)
Rate Limits
Configurable per project/organization
Use Cases
LLM observability, cost tracking, prompt management, caching, rate limiting

What Are Common Questions About Helicone?

One line integration — Helicone provides a single line of code that can be integrated into an application to monitor LLM usage (latency, cost, usage) through HTTP header capture.

100k free requests/month included with the free version. The growth plan charges users on a usage basis @ ~$0.28/1k requests = ($236/month for 832k requests). Contact Helicone sales for custom pricing for Enterprise use cases.

Helicone has no licensing restrictions and can be deployed anywhere in contrast to LangSmith which is proprietary and requires an account on the OpenAI platform. In addition to acting as a gateway to allow caching, rate limiting and other functions, Helicone also provides built-in observability; unlike Langsmith, Helicone will work with any language model provider.

Helicone does process incoming requests through a secure proxy however it does not store input prompts by default (although this may be configured); additionally Helicone uses Cloudflare Workers to achieve 99.9999% uptime. The open source nature of Helicone means that you have full access to the codebase to review its security.

Yes, Helicone is entirely open-source and can be deployed using either Docker or Cloudflare Workers. All features of Helicone including prompt management and analytics can be accessed when you deploy Helicone yourself.

Helicone has the ability to connect to any of the major LLM providers (OpenAI, Anthropic, Azure, etc.) using their respective APIs as well as working with any LLM provider who exposes an HTTP based API, eliminating the need for custom integrations.

Helicone's free tier allows you to use Helicone up to 100K times per month and includes all of the features of Helicone, including prompt management and analytics. No credit card is required to sign-up for the free tier. For unlimited usage, upgrade to one of Helicone's paid tiers (Growth or Enterprise).

Helicone's free tier allows you to use Helicone up to 100K times per month, but the only support you will receive is from the community. There is no dedicated support available and there are no custom Service Level Agreements (SLA's) available for the free tier. Regardless, all of the core observability features are fully available.

Is Helicone Worth It?

Helicone is an open-source observability platform specifically designed to monitor production LLM applications and is particularly suited to teams who want to integrate enterprise grade functionality into their applications with as little integration effort as possible. Helicone has a gateway capability (cache, rate limit, retry), along with comprehensive analytics making it an excellent choice for production deployments of AI. Although Helicone is an early stage company, it has already been adopted by several fast growing AI development teams.

Recommended For

  • AI engineering teams developing production LLM applications
  • Startups looking to observe their LLM costs and optimize them
  • Teams that are currently using multiple LLM providers and need to monitor them from a single location
  • Open-source advocates who want to host their own observability solution

!
Use With Caution

  • Enterprise teams that require extended compliance certification(s)
  • Organizations that require a dedicated phone line for support
  • Teams that have extremely high volumes and require custom infrastructure

Not Recommended For

  • Non-technical teams - Helicone must be implemented by a developer
  • Teams that don't use LLMs are built specifically to monitor the performance of AI
  • Budget teams avoid spending money on anything above the free tier when it comes to LLM monitoring
Expert's Conclusion

Helicone is the leading open-source LLM production-level monitoring and gateway software - ideal for development-led AI teams

Best For
AI engineering teams developing production LLM applicationsStartups looking to observe their LLM costs and optimize themTeams that are currently using multiple LLM providers and need to monitor them from a single location

What do expert reviews and research say about Helicone?

Key Findings

Helicone is an open-source LLM app production monitoring and gateway software from YC W23 with one line of code for integration, gateway features, and 99.99% uptime. Suitable for rapidly growing AI companies with free tier (100k req/month), usage-based Growth plan, and custom pricing for Enterprise customers. Very high product-market fit in rapidly expanding LLM observability market.

Data Quality

Good - detailed product info from official site and CB Insights. Limited review data and no G2/Capterra ratings. Enterprise pricing requires sales contact.

Risk Factors

!
Startup company (founded in 2022, $2 million raised in pre-seed round)
!
Highly competitive LLM observability market
!
Few publicly disclosed customer case studies
!
No independently conducted security/compliance audit available
Last updated: January 2026

What Additional Information Is Available for Helicone?

Open Source & Community

Fully open-source with active GitHub repository and Discord community. Self-hosted through Docker or Cloudflare Workers. YC W23 startup with very high level of developer adoption.

Funding & Traction

Raised $2 million in a pre-seed funding round. Used by world's fastest growing AI companies. Production adoption statistics shown in public-facing dashboard.

Technology Stack

Built on top of Cloudflare Workers to ensure 99.99% uptime. Works with any LLM provider due to proxy-based design. Open-source core means no vendor lock-in.

Founder Background

Founded by Barak Oshri in 2022 as part of the YC W23 program, Helicone was founded to solve LLM observability issues faced by AI developers.

What Are the Best Alternatives to Helicone?

  • •
    LangSmith (LangChain): Proprietary observability platform that has been deeply integrated into LangChain ecosystem. More suitable for LangChain users, however offers less flexibility across LLM providers. More expensive and includes vendor lock-in compared to Helicone. (smith.langchain.com)
  • •
    Phoenix (Arize AI): Open-source LLM tracing and evaluation platform. Offers good evaluation features but fewer gateway features compared to Helicone. More suited to experimentation rather than production-level proxying. (phoenix.arize.com)
  • •
    OpenLLMetry: An open-source version of OpenTelemetry-based LLM observability which is standards-based but has more configuration options than Helicone's one line integration option. This will be best suited for teams that are already using an existing observability stack. (github.com/traceloop/openllmetry)
  • •
    Weights & Biases (W&B Weave): A platform for experimenting with ML and its applications with support for tracing LLMs. This is a good option for research and testing of prompts, but it doesn't have as many production-focused gateway features as some other platforms. It would be better suited for ML teams rather than just AI engineers. (wandb.ai)
  • •
    Datadog APM: An enterprise-grade observability platform that recently added some new LLM monitoring functionality. While this provides a comprehensive set of observability tools, it may be too expensive and complex for LLM-only use-cases. If you're already paying for Datadog, then this could be a great option for your company. (datadoghq.com)

What Audit Activity Types Does Helicone Offer?

LLM Request/Response Logging

A complete record of all AI requests made through the Helicone Gateway including: what was in each prompt, what response(s) were given, how much was spent in terms of tokens or credits, how long did it take to process the request, and which cloud service provider provided the requested model(s). Always enabled through the Helicone Gateway so no need to install anything, simply enable it to start capturing the above information.

Streaming Request Logging

All requests for streaming content are fully observable through the Helicone Gateway; specifically this includes: time-to-first-token, total processing time (latency), and accurate counts of all tokens processed in real-time.

Routing & Fallback Decisions

The Helicone Gateway captures which logs provider to use, if there were any fallback attempts to get data from another provider, if the request hit any rate limits, what error occurred, and how the different providers compare to each other in terms of latency.

Session & Workflow Tracking

In addition to being able to observe individual requests to an LLM, the Helicone Gateway can group multiple requests together into "conversations" that represent a multi-step interaction with an LLM. This makes it easier to analyze the performance of these conversations.

Security Filter Events

Two-way door protection ensures that if a malicious request is detected and/or blocked by the Helicone Gateway, the logs of those events are captured for auditing and compliance purposes. Similarly, if a response is identified as potentially damaging to a user, it will be logged before the user ever sees the response.

Cost & Usage Analytics

The Helicone Gateway also tracks the cost of each individual request to an LLM, and allows for user-level spend analysis, as well as model/provider level comparisons of costs.

How Does Helicone's Compliance Framework Alignment Compare?

FrameworkMandatoryMin RetentionKey RequirementsSupport Level
SOC 2 Type IIYes1 yearuser ID, timestamp, request data, response data, cost metrics, success/failureFull - Complete request logging with audit trails and compliance reports
ISO 27001Yes365 daysAPI key, timestamp, model used, provider, tokens consumed, outcomeFull - Demonstrates AI system monitoring controls through detailed logs
HIPAAYes6 yearsuser identity, request timestamp, PHI access indicators, response content, audit statusFull - PII detection and content filtering with complete audit trails
GDPRYesProcessing duration + reasonable perioddata subject proxy, AI processing timestamp, prompt/response, retention metadataFull - Data processing records for personal data AI analysis
FedRAMPYes365 days online + archiveauthenticated identity, timestamp, LLM security events, success/failurePartial - Government cloud AI usage monitoring capabilities

What Access Control Rbac Capabilities Does Helicone Offer?

API Key Authentication

The Helicone-Auth Bearer token is required for accessing both the Helicone Gateway dashboard and the API used to retrieve logs and metrics from the Helicone Gateway.

Environment Isolation

In addition to providing separate log views based on deployment environments such as dev, staging, and prod, the Helicone Gateway also allows for separate access controls to each of those environments.

Custom Property Filtering

The Helicone Gateway also allows for log filtering based on user ID, session, and feature flags, making it possible to create role-specific data views.

Project & Organization RBAC

The Helicone Gateway also supports organization-level and project-level permissions for controlling who has visibility into log data and analytics.

Shared Dashboard Links

The Helicone Gateway also provides secure, time-limited sharing of specific log views and analytics reports.

What Search And Analysis Capabilities Does Helicone Offer?

Real-Time Dashboard Filtering

Finally, the Helicone Gateway allows for log filtering based on virtually any criteria such as environment, model, provider, user, latency, cost, errors, and custom properties of the request.

Cost & Usage Analytics

The Helicone Gateway also provides per-request, per-user, and per-model cost tracking, and trending, comparison, and forecasting capabilities for those costs.

Performance Monitoring

Analysis of delays (total time TTFT) as well as throughput, error rates and comparisons in terms of quality among providers.

Real-Time Alerts

Automated alerts for when thresholds are reached concerning errors or a rise in latency using Slack/email.

Session & Workflow Analysis

Views for chat, tree, and span to analyze conversations that have been processed through multiple steps by an LLM and to determine the bottleneck in those processes.

Custom Properties Analytics

Dimensional analysis segmented by business dimensions: users, features, A/B testing, environments where applications were deployed.

Cross-Platform & Third-Party Integration Compatibility

Integration TypeTarget SystemSupportedNativeNotes
LLM ProvidersOpenAItruetrueFull proxy compatibility with OpenAI API including GPT models and assistants
LLM ProvidersAnthropictruetrueNative Claude model support through Helicone gateway routing
LLM ProvidersMultiple ProviderstruetrueIntelligent routing and fallback chains across any OpenAI-compatible providers
AlertingSlacktruetrueReal-time notifications for cost, latency, error thresholds
AlertingEmailtruetrueAutomated alerts for production issues and budget thresholds
API AccessREST APItruetrueProgrammatic access to all request logs, metrics, and analytics data
SDKsPython/Node.jstruetrueOfficial SDKs with automatic Helicone integration and custom properties

What Is Helicone's Technical Architecture And Scalability?

Architecture - Deployment Model
Cloud proxy gateway with oai.helicone.ai endpoint
Architecture - Zero Configuration Logging
Automatic request capture without SDK calls or agent installation
Architecture - Multi-Tenancy
API key isolation with organization and project separation
Performance & Scale - Request Throughput
Millions of requests per day; production-scale AI traffic
Performance & Scale - Real-Time Processing
<100ms additional latency for observability proxying
Performance & Scale - Streaming Support
Full observability without blocking streaming responses
Data Security - Encryption in Transit
TLS encryption for all request/response proxying
Data Security - Two-Way Security Filtering
Request validation prevents malicious prompts; response filtering blocks harmful outputs
Data Security - PII & Content Safety
Configurable safety filters and compliance-aligned logging

What Ai Specific Audit Capabilities Does Helicone Offer?

Model Inference Logging

Automatic collection of all LLM requests with model name, provider, parameters, tokens, latency and costs.

Prompt Input/Output Logging

Logging of all prompts and responses from the LLM including streaming content to allow for the analysis of user behavior and to enable the review of safety issues.

Two-Way Safety Filtering

Blocking of malicious requests prior to reaching LLMs and filtering of harmful responses prior to delivering them to users.

Intelligent Routing Audit

All possible insights on how providers are selected, what happens when there is a failure, what rate limits are enforced, what types of errors occur, and how cost optimization decisions are made.

Session Workflow Tracking

Reconstruction of entire multi-step conversations and display of complete interaction paths, performance bottlenecks and user behavior.

Real-Time Cost Attribution

Tracking of cost per request, per user, and per model with arbitrary attributes (user ID, A/B test, feature flags) for dimensionalized cost tracking and budgeting.

Custom Metadata Logging

Any number of arbitrary property types (user ID, A/B test, feature flags) for richer behavioral analysis and reporting requirements for compliance.

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