#Helicone
59 related articles
·3 min
Andrew Ng's AI Engineering Skills Map: A Complete Capability Breakdown from Building to Deployment
Deep dive into Andrew Ng's AI Engineering Skills Map covering foundation models, prompt engineering, RAG, model evaluation, and production deployment.
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·4 min
Build or Buy LLM Infrastructure? A 7-Month Hands-On Retrospective Reveals the Hidden Costs
A 7-month retrospective on building LLM infrastructure from scratch: hidden costs of routing, fallback, evals, and a comparison of orq.ai, LangSmith, Helicone, Portkey, and LiteLLM.
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·2 min
OpenRouter Acquired by Stripe: Strategic Integration of an AI Model Gateway with a Payments Giant
OpenRouter joins Stripe in a strategic acquisition merging AI model gateway capabilities with payment infrastructure. Analysis of the business logic, community reactions, and impact on AI infrastructure.
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·2 min
Culpa: A Cost Analysis Tool That Traces Every AI Dollar Back to a Specific Conversation
Culpa is an AI cost observability tool that traces every AI dollar to specific users, features, and conversations. With cost prediction and local-first architecture, it helps teams diagnose cost spikes and drive data-informed pricing.
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·3 min
Matimo Platform Deep Dive: An Integrated Solution for AI Agent Building, Deployment, and Governance
Deep dive into Matimo's AI Agent operations platform covering Workbench reasoning engines, Studio workflow deployment, and Governance enterprise controls, plus AgentOps trends.
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·2 min
Inferock Bench: An Open-Source Cost Auditing Tool That Issues an Independent Receipt for Every LLM Call
Inferock Bench is an open-source LLM cost auditing tool that uses a local proxy to intercept API calls, precisely tracking token usage, failures, and retry costs per request to help developers identify hidden overspending.
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·2 min
Kubit: A Product Analytics Platform That Drives AI Agent Optimization with User Behavior Data
Kubit is an analytics platform designed for AI Agent products, correlating agent execution traces with user behavior data to help teams diagnose re-prompt, churn, and conversion issues.
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·3 min
Trigger.dev Chat Agent: Deep Dive into a Durable AI Chat Solution
Deep dive into Trigger.dev's Chat Agent durable AI chat solution with no timeouts, disconnect recovery, sleep-wake cycles, Vercel AI SDK compatibility, and built-in observability tracing.
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·2 min
Cohesor: A Neutral Cost Control Hub for Enterprise AI Agents, Cutting Bills by 60%-90%
Cohesor is a neutral enterprise AI Agent cost control platform that helps businesses cut 60%-90% of agent bills through 50% token compression, intelligent model routing, and per-user spend governance — with zero code changes.
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·2 min
oqoqo: A Developer Tool for Building Custom AI Evaluation Benchmarks with Real-World Tasks
oqoqo is a developer-focused AI evaluation tool for building private benchmarks, measuring Agent performance on real products, and optimizing model selection across GPT, Claude, and Gemini.
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·4 min
How Databricks Cut AI Coding Costs by 70%: Strategies and Insights
Databricks cut AI coding tool costs by 70% through intelligent model routing, prompt caching, context optimization, and self-hosted open-source models. Learn actionable strategies for controlling LLM inference costs.
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·3 min
A Complete Guide to AI Agent Observability and Evaluation Tech Stacks
Deep dive into three technical approaches for AI Agent observability and evaluation: LangSmith native integration, open-source self-hosted solutions like LangFuse, and unified platforms like Lyzr.
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·3 min
OpenAI Prepaid Credits Vanish Without Records: An Analysis of API Billing Transparency Issues
A developer found OpenAI prepaid credits marked consumed with no usage records available. We analyze API billing transparency issues and offer practical self-protection tips.
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·3 min
ngrok AI Gateway: One Private Gateway to Rule All AI Models
Deep dive into how ngrok AI Gateway manages OpenAI, Anthropic, and self-hosted models through unified keys and entry points, delivering observability, access control, and fallbacks for production AI.
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·3 min
MCP Session Analytics: Building Production-Grade Observability and Evaluation for AI Agents
How to build product analytics and evaluation capabilities for AI Agents at the MCP protocol layer, covering session-level tracing, tool call observability, and quality Evals.
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·3 min
Token Economics: The New Unit of Value Measurement in the AI Era
Deep dive into how Tokens evolved from a technical concept in LLMs to the core unit of measurement in the AI economy. Exploring Token consumption explosion, cost optimization, and Token economics.
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·2 min
LangSmith Gateway Explained: Core Capabilities and Architecture of LangChain's Enterprise AI Model Gateway
Deep dive into LangSmith Gateway's core features including cost control, rate limiting, PII redaction, coding agent integration, and open-source model access for enterprise AI infrastructure.
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·2 min
CostPerPrompt: A Deep Dive into Real-Time AI API Cost Estimation and Pricing Comparison
CostPerPrompt is a real-time AI API pricing comparison and cost estimation tool supporting OpenAI, Anthropic, Google and more, helping developers estimate monthly token costs based on real workloads.
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·2 min
Cartha: An AI Agent Operations Control Plane Solving Observability and Cost Control Challenges
Cartha is a managed control plane for AI Agents offering full-chain tracing, hard budgets, scoped memory isolation, and tool allow-lists to solve observability, cost overrun, and permission management challenges in production.
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·3 min
TraceLLM: An Open-Source LLM Observability Platform Built on OpenTelemetry
TraceLLM is an open-source observability platform for production AI apps, built on OpenTelemetry, offering Prompt tracing, Token monitoring, latency analysis, and full distributed tracing.
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