Agenta vs Fallom

Unified Playground & Experimentation

Agenta provides a powerful, unified playground where your entire team can experiment with prompts and models side-by-side in real-time! This central hub eliminates scattered workflows, allowing you to iterate quickly with complete version history for every change. It's model-agnostic, so you can leverage the best models from any provider without fear of vendor lock-in. Found a tricky error in production? Simply save it to a test set and use it directly in the playground to debug and fix it instantly!

Comprehensive Evaluation Suite

Replace guesswork with hard evidence using Agenta's robust evaluation framework! Create a systematic process to run experiments, track results, and validate every single change before deployment. The platform supports any evaluator you need, including LLM-as-a-judge, built-in metrics, or your own custom code. Crucially, you can evaluate the full trace of complex agents, testing each intermediate reasoning step, not just the final output. Plus, seamlessly integrate human evaluations from domain experts directly into your workflow!

Deep Observability & Debugging

Gain unparalleled visibility into your AI systems with Agenta's observability tools! Trace every single request to find the exact point of failure when things go wrong, turning debugging from a guessing game into a precise science. Annotate traces collaboratively with your team or gather direct feedback from end-users. The best part? You can turn any problematic trace into a test case with a single click, creating a powerful, closed feedback loop that continuously improves your application's reliability!

Seamless Team Collaboration

Break down silos and bring product managers, domain experts, and developers into one cohesive workflow! Agenta provides a safe, intuitive UI for non-technical experts to edit prompts and run experiments without touching code. Empower everyone to run evaluations and compare results directly from the interface. With full parity between its API and UI, Agenta integrates both programmatic and manual workflows into a single, central hub that accelerates alignment and decision-making across your entire team!

Real-Time LLM Tracing & Dashboards

See every interaction as it happens! Fallom provides live, granular traces for every LLM call, tool invocation, and agent step. Our intuitive dashboard displays prompts, model outputs, token counts, latency, and immediate costs, giving you a crystal-clear, real-time view of your AI operations. Click into any trace to debug issues instantly and understand exactly what your agents are doing, turning opaque processes into transparent, actionable data streams!

Granular Cost Attribution & Control

Take command of your AI spending! Fallom breaks down costs by model, user, team, session, or customer, providing full financial transparency. Track monthly spend, identify expensive workflows, and implement accurate chargebacks. With detailed per-call cost data, you can optimize prompts, switch models intelligently, and ensure your AI initiatives stay firmly within budget, making every token count!

Compliance-Ready Audit Trails

Build trust and meet regulations effortlessly! Fallom is engineered for enterprise compliance, offering immutable, complete audit trails of every AI interaction. We log inputs, outputs, model versions, and user consent, providing the documented evidence you need for SOC 2, GDPR, and the EU AI Act. Our privacy mode allows you to redact sensitive data while maintaining full telemetry, so you can deploy AI with confidence in any regulated industry!

Advanced Debugging with Waterfall & Tool Visibility

Debug complex AI agents with surgical precision! Our timing waterfall visualizations break down the latency of each step in multi-stage workflows, so you can instantly spot bottlenecks. Plus, gain complete visibility into every tool and function your agents call—see the exact arguments passed and results returned. This deep context turns hours of frustrating debugging into minutes of clear, actionable insight!

Accelerating Agent & Chatbot Development

Teams building conversational agents or complex chatbots can use Agenta to rapidly prototype, test, and refine their LLM pipelines! The unified playground allows for quick A/B testing of different prompts and reasoning models, while the full-trace evaluation ensures every step of the agent's logic is sound. Collaboration features mean domain experts can directly tweak conversation tones or factual responses, leading to faster iterations and a more reliable final product that's ready for user traffic!

Enterprise LLM Application Lifecycle Management

Large organizations struggling with scattered prompts and siloed teams can implement Agenta as their central LLMOps command center! It provides the structured process needed to manage the entire lifecycle of multiple LLM applications, from initial experimentation to production monitoring. By centralizing prompts, evaluations, and traces, it establishes governance, enables reproducible experiments, and gives leadership clear visibility into performance and ROI, turning chaotic development into a streamlined operation!

Building Evaluated & Validated AI Features

Product teams integrating LLM features into existing software can use Agenta to ensure every release is high-quality and reliable! Before any update goes live, teams can run automated evaluations against comprehensive test sets and gather human feedback from stakeholders. This evidence-based approach replaces "vibe testing," guaranteeing that new features actually improve performance and don't introduce regressions, allowing for confident and frequent deployment of AI-powered capabilities!

Debugging & Improving Production Systems

When a live LLM application starts behaving unexpectedly, Agenta turns crisis management into a streamlined diagnostic process! Engineers can immediately inspect traced requests to pinpoint the exact failure in a chain of thought or API call. They can save errors as test cases, debug them in the playground, and validate fixes with the evaluation suite before deploying a patch. This closes the loop between production issues and development, dramatically reducing mean-time-to-repair!

Scaling Production AI Agents & Copilots

Ensure your customer-facing AI agents and internal copilots are reliable and efficient! Fallom gives you end-to-end visibility into complex, multi-step workflows. Monitor success rates, debug failed tool calls, analyze conversation quality, and track performance per user session. This allows you to proactively improve user experience, reduce errors, and confidently scale your most critical AI applications to thousands of users!

Managing AI Costs and Implementing Chargebacks

Gain financial control over sprawling AI usage! Product teams and engineering leaders use Fallom to attribute costs accurately to specific projects, internal teams, or even external customers. Create detailed reports, set budgets, and identify wasteful patterns like overly verbose prompts or misuse of premium models. Transform AI from an opaque cost center into a transparent, manageable, and accountable business resource!

Meeting Enterprise Compliance & Security Standards

Deploy AI in finance, healthcare, or any regulated sector without fear! Fallom’s built-in compliance features provide the robust audit trails, consent tracking, and privacy controls required by frameworks like the EU AI Act. Security teams can verify data handling, legal teams can demonstrate due diligence, and engineering can build freely, knowing all necessary governance is automatically in place and documented!

Optimizing Model Performance & Running A/B Tests

Continuously improve your AI's quality and cost-efficiency! Use Fallom to A/B test different prompts, model providers, or parameter settings across live traffic. Compare accuracy, latency, and cost metrics side-by-side in real-time. Our evaluation frameworks help you catch regressions and systematically roll out winning configurations, ensuring your AI application gets smarter and more economical with every deployment!

Agenta is an open-source platform, and you can get started completely for free by self-hosting or using our community resources! For detailed information on enterprise-grade features, managed cloud hosting, and professional support, we recommend visiting the official Pricing page on the Agenta website or using the "Book a demo" option to speak directly with the team about your specific needs and scale.

Fallom offers a free tier to get started with core tracing and dashboard features, allowing you to begin monitoring your AI applications immediately. For teams requiring advanced capabilities like enterprise-grade audit trails, granular cost attribution, compliance tools, and dedicated support, scalable paid plans are available. You can start tracing for free today and explore upgrade options directly within the platform as your observability needs grow!

Agenta is the dynamic, open-source LLMOps platform designed to transform how AI teams build and ship reliable, production-ready LLM applications! It tackles the core chaos of modern LLM development head-on, where prompts are scattered, teams work in silos, and debugging feels like a guessing game. Agenta provides a unified, collaborative hub where developers, product managers, and subject matter experts can finally work together seamlessly. It centralizes the entire LLM workflow, enabling teams to experiment with prompts and models, run rigorous automated and human evaluations, and gain deep observability into production systems. The core value proposition is powerful: move from unpredictable, ad-hoc processes to a structured, evidence-based development cycle. By integrating prompt management, evaluation, and observability into one platform, Agenta empowers teams to iterate faster, validate every change, and confidently deploy LLM applications that perform consistently and reliably. It's the single source of truth your whole team needs to turn the unpredictability of LLMs into a competitive advantage!

Welcome to Fallom, the AI-native observability platform engineered for the future of software! Are you deploying Large Language Models (LLMs) and AI agents in production? Then you absolutely need Fallom! We empower engineering and product teams with complete, real-time visibility into every single LLM call, transforming the notorious "black box" of AI into a transparent, manageable, and cost-effective system. Built from the ground up for AI, Fallom provides the crucial insights you need to scale reliable, compliant, and efficient AI applications. With our OpenTelemetry-native SDK, you can instrument your applications in minutes and start seeing everything: prompts, outputs, tool calls, token usage, latency, and exact per-call costs. We go beyond simple metrics, delivering enterprise-ready audit trails with logging, model versioning, and consent tracking to breeze through stringent compliance requirements like GDPR and the EU AI Act. Stop flying blind and start building with confidence! Fallom is designed for teams who are serious about taking their AI applications from prototype to production at scale, offering the comprehensive observability toolkit required to debug, optimize, and govern AI systems effectively.

Is Agenta really open-source?

Yes, absolutely! Agenta is a fully open-source platform under the Apache 2.0 license. You can dive into the code on GitHub, self-host the entire platform, and even contribute to its development. Hundreds of developers are actively involved in the community, and we believe in building transparent, vendor-neutral infrastructure that gives teams full control over their LLMOps stack!

How does Agenta handle different LLM providers and frameworks?

Agenta is designed to be model-agnostic and framework-flexible! It seamlessly integrates with all major providers like OpenAI, Anthropic, and Cohere, allowing you to use the best model for each task without lock-in. It also works effortlessly with popular frameworks like LangChain and LlamaIndex, fitting into your existing tech stack without requiring a painful rewrite. You bring your models and code; Agenta brings the management and evaluation superpowers!

Can non-technical team members really use Agenta effectively?

They sure can! A core mission of Agenta is to democratize LLM development. We provide an intuitive web UI that allows product managers, subject matter experts, and other non-coders to safely edit prompts, run experiments, and evaluate results without writing a single line of code. This bridges the gap between technical implementation and domain knowledge, unlocking collaboration and speeding up the iteration cycle dramatically!

What does the evaluation process look like in Agenta?

Agenta's evaluation process is both powerful and flexible! You start by creating test datasets (which can be built from production traces). You then configure evaluations using AI judges, code-based metrics, or human input. The system runs your experiments (different prompts/models) against these tests, providing detailed, comparable results. You can evaluate the entire reasoning trace of an agent, not just the final output, giving you deep insight into what works and what breaks, so you can deploy with confidence!

How quickly can I get started with Fallom?

You can be up and running in under 5 minutes! Fallom is built on OpenTelemetry, the open standard for observability. Simply install our lightweight SDK into your application, and you'll immediately start streaming rich tracing data to your Fallom dashboard. No complex configuration or infrastructure changes are needed—it's designed for instant time-to-value!

Does Fallom support all LLM providers and frameworks?

Absolutely! Fallom is provider-agnostic and works with every major LLM provider, including OpenAI, Anthropic, Google Gemini, and open-source models. Our OpenTelemetry-native approach means you get unified observability across your entire AI stack with zero vendor lock-in. One SDK gives you complete visibility, no matter where your models are running!

How does Fallom handle sensitive or private user data?

Security is paramount! Fallom offers a configurable Privacy Mode that allows you to disable or redact content capture for sensitive interactions. You can choose to log only metadata (like token counts and latency) while obscuring prompts and completions, or apply redaction rules. This lets you maintain full observability for debugging while strictly protecting user privacy and confidential data.

Can I use Fallom for testing and evaluation before production?

Yes, and you should! Fallom is perfect for the entire development lifecycle. Use it during testing to evaluate LLM outputs for accuracy, relevance, and hallucinations. Track performance across different model versions and prompt variations. By integrating observability early, you can catch issues pre-production and establish performance baselines, leading to smoother, more reliable launches!

Agenta is a dynamic, open-source LLMOps platform designed to help teams build and manage reliable AI applications together! It falls squarely into the category of development tools that bring order to the chaos of LLM workflows, centralizing experimentation, evaluation, and observability. Teams often explore alternatives for various reasons! You might be looking for a different pricing model, a specific feature set, or a platform that aligns with your team's unique size, technical stack, or deployment preferences. The search for the perfect fit is a smart move! When evaluating options, focus on finding a solution that empowers your entire team! Look for robust collaboration features, a strong evaluation framework for evidence-based decisions, and deep production observability. The goal is to find a platform that turns the unpredictability of LLMs into your team's superpower!

Fallom is an AI-native observability platform built for developers and teams deploying Large Language Models and AI agents in production. It provides real-time, end-to-end visibility into every LLM call, turning complex workflows into transparent, debuggable, and cost-managed systems. Users often explore alternatives for various reasons, such as budget constraints, specific feature needs, or integration requirements with their existing tech stack. Some teams might need a different pricing model, while others prioritize certain compliance features or deployment options. When evaluating other solutions, focus on core capabilities like detailed LLM tracing, real-time latency and cost dashboards, robust compliance tooling for audits, and seamless integration. The right platform should give you the clarity and control to build reliable, efficient, and compliant AI applications at scale!