Langfuse
Helicone AI
LangSmith
LangChain
Openlayer
Braintrust.dev
Portkey
LastMile AI
TikAPI
TikBuddy
Kalodata
Statistok
BetterTok.app
TokCoach.onrender.com
Helium 10
ProxiTok
Langfuse is an open-source LLM engineering platform designed to empower developers by providing insights into user interactions with their LLM applications. We offer tools that help developers understand usage patterns, diagnose issues, and improve application performance based on real user data. By integrating seamlessly into existing workflows, Langfuse streamlines the process of monitoring, debugging, and optimizing LLM applications. Our platform's robust documentation and active community support make it easy for developers to leverage Langfuse for enhancing their LLM projects efficiently. Whether you're troubleshooting interactions or iterating on new features, Langfuse is committed to simplifying your LLM development journey.
LangfuseBased on our record, Langfuse should be more popular than TikAPI. It has been mentiond 28 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
In this project we will build a Python banking assistant agent using Strands Agents and make it observable and continuously evaluated using Langfuse โ step by step. - Source: dev.to / 12 days ago
Langfuse is the open-source standard for LLM observability. It traces every LLM interaction โ prompts, completions, latency, token usage, cost โ and provides the tooling to debug, evaluate, and optimize LLM applications in production. Think of it as "Datadog for LLM calls" with a focus on prompt engineering workflows. - Source: dev.to / about 1 month ago
You're monitoring production traffic. You need Langfuse / Phoenix / Helicone / Braintrust for that. Online eval is a different problem class: implicit feedback, drift detection, hallucination rates on your data, not on HellaSwag. - Source: dev.to / about 1 month ago
Gateway or proxy attribution. A reverse proxy in front of the model-provider API records the request, computes the cost, and exposes per-customer breakdowns. Open-source options include Helicone, LiteLLM, Langfuse, and OpenLLMetry. Hosted equivalents serve as the AI cost observability layer for teams that want centralized visibility: LangSmith, Datadog LLM Observability, Arize Phoenix. Adds a network hop.... - Source: dev.to / about 1 month ago
Same approach works with Langfuse, Phoenix, Braintrust, or your existing OTel pipeline โ the metadata.userId pattern is the universal part. - Source: dev.to / about 2 months ago
Curious how this person is getting away with it https://tikapi.io/. - Source: Hacker News / about 2 years ago
Https://tikapi.io I did find this but I did find any apps actually using it. - Source: Hacker News / almost 5 years ago
I'm the founder of https://tikapi.io/, an unofficial TikTok API. - Source: Hacker News / about 5 years ago
Guess it's time for someone to make an unofficial app powered by https://tikapi.io. Source: over 5 years ago
Corporate Sponsor - I have no clue their MRR or anything other business statistics of theirs. Source: over 5 years ago
Helicone AI - Open-source LLM Observability for Developers
TikBuddy - TikBuddy help creator get full insights on TikTok, so that make sure to create trending content, make videos viral.
LangSmith - Build and deploy LLM applications with confidence
Kalodata - TikTok ecommerce analytics tool with sales and ads data
LangChain - Framework for building applications with LLMs through composability
Statistok - Growth focused analytics for TikTok