Maxim AI

???It’s not been a day since OpenAI launched the Agent SDK, and we already have an integration for adding traceability and evaluation to your AI agent! The OpenAI Agents SDK offers comprehensive tracing capabilities that monitor all aspects of AI agent operations—from LLM interactions to tool usage, agent handoffs, and safety guardrails. While its native Traces Dashboard enables developers to effectively monitor and debug AI workflows across development and production environments, Maxim AI's Traceability & Eval Platform extends these capabilities significantly. ???Maxim's solution not only provides enhanced observability but also ??Enables real-time evaluation of agent performance ??Automated alerts when predefined quality criteria aren't met ??Systematic curation of golden datasets from operational logs—which can then be seamlessly integrated into testing workflows for continuous improvement. Companies can improve AI performance, increase trust, and accelerate iteration speed by combining Agent SDK with Maxim. Here’s an example from OpenAI’s?Agents SDK: A?Customer Service AI Agent?for airlines that: → Triages user requests?to direct them to the right agent → Uses an?FAQ agent?to answer common questions → Includes a?Seat Booking agent?to handle seat changes → Logs?every decision, response, and action?for analysis You can check out the example below to see how to integrate Maxim AI into Agent SDK. Link is in the comments #AI #AgentSDK #LLMs #Observability #Maxim #Traceability

?? Maxim's Agent Simulation Goes Live on Product Hunt on March 11th ?? As we spoke with more and more teams trying to build and test complex AI agents, we realized that evaluating multi-turn agentic interactions is still a major challenge across use cases, from customer support to travel. We are launching Maxim’s agent simulation to help teams save hundreds of hours in testing and optimizing AI agents. Key highlights: ? Simulate customer interactions across real-world scenarios and user personas, and monitor how your agent responds at every step.? ? Evaluate agents at a conversational level—analyze the trajectory your agent chooses, assess if tasks got completed successfully, and identify points of failure. ? Re-run simulations from any step to reproduce issues, identify root causes, and apply the learnings to debug and improve agent performance. Click “Notify Me” on our Product Hunt page to stay in the loop: https://lnkd.in/gUJYYb-c ??

Struggling to ensure the quality of your AI agents? We’re excited to launch Maxim’s AI-powered simulations on Product Hunt. Click “Notify Me” to follow the launch: https://lnkd.in/gUJYYb-c ?? This feature will enable teams to test their agents across hundreds of scenarios and user personas— in a fraction of the time it would take manually.

The ?? on our site is back! If you are building agents, and struggling to test them at scale - Maxim AI has something extremely interesting for you, which takes 5 mins - to set up and start testing your first workflow. Stay tuned -

Introducing Maxim AI's Bifrost: One interface, any LLM! Dive into a powerhouse of features with our collaborative prompt playground, seamless versioning, A/B testing, built-in observability, real-time evaluations and alerts via PagerDuty, Slack. Bifrost is the cornerstone of Maxim's infrastructure. To date, it has seamlessly handled over 100 billion tokens across 100+ models and 7+ providers. We are now opening it up to all of our customers. ? Instant observability on the Maxim platform with online evaluations and real-time alerts via PagerDuty and Slack. ? Custom deployment variables and deployment tracks. ? Add multiple API keys with different models attached to each key for governance and cost tracking. ? Add multiple API keys, and Bifrost automatically multiplexes and rotates them to provide higher throughput in production. ? Attach custom pricing models at the API key level to get an accurate picture of spending. ? Forward logs to platforms like New Relic, Datadog, and Grafana with a single click. ? Robust role-based access to control who can read, update, and deploy prompts. Ready to accelerate your workflow with Maxim? Get your Maxim AI 14-day trial without putting your credit card here - https://lnkd.in/dwRK6yCX

I've been eager to share our journey in developing mission-critical components for our customers. Welcome to Part 1 of our exploration into building a stateless, 100% OTEL-compatible distributed tracing protocol. With our mixin-2 tracing protocol, we've created the foundation for seamless observability across any LLM provider or framework. Now you can: Enable tracing for agentic workflows and non-LLM workflows with just three lines of code and attach evaluators to each node with one additional line. We're excited to share how this technology is empowering our customers to build with confidence. Stay tuned for more insights in this series! Get your @getmaximai 15-day trial without putting your credit card here - https://lnkd.in/dwRK6yCX Blogpost link is in first comment #AIObservability #DistributedTracing #TechInnovation

?? Best Practices to Ensure Quality of AI Agents in Production ?? Finding it challenging to ensure if your AI application is performing reliably or not in production? Here’s how you can continuously monitor the quality and performance of your application with Maxim. ?? Log/trace your workflows: Gain complete visibility into what happens at every step of your application’s execution by logging each component (e.g., generation, retrieval, tool call, etc.) of your AI workflow. ?? Evaluate logs: Add evaluations to every step of your agent's interactions, e.g., evaluate precision of the retrieved context, bias in LLM generation, or correctness for tool call selection. Use Maxim’s expansive set of pre-built, 3rd party, and custom evaluators to match your quality needs. ?? Search, filter, and debug: Search through logs to identify and track user sessions, detect errors, and pinpoint the root cause of issues for faster debugging. Filter logs on Maxim UI based on user feedback, application metadata, or custom tags defined using Maxim SDK.? ?? Proactive issue resolution: While tracing is foundational to observability, without real-time alerts ( via Slack or PagerDuty, etc) teams miss the opportunity to act swiftly on any production issues such as negative user feedback, hallucinations, etc. Maxim’s E2E evaluations and observability suite enable you to integrate these best practices into your AI workflows and ensure a seamless user experience. Get started: https://www.getmaxim.ai/

?? Accurate Cost Tracking with Custom Token Pricing on Maxim ?? For AI teams, gaining fine-grained visibility into token usage and costs across different LLM providers is crucial for optimizing AI spending. While all LLM providers have default pricing, AI teams often have negotiated pricing agreements with model providers based on usage and other factors. With Maxim, you can easily configure custom pricing for different models, so that while running experiments or tracking usage in production, you have visibility into the accurate information about your costs. This visibility empowers teams to identify areas for cost optimization at a granular level, maintain an up-to-date view of LLM spending across stakeholders, and set the right alerts on costs to stay on track. ?? Learn more: https://lnkd.in/gD9EmhwR

Totally resonate ?? At Maxim AI, we’ve seen firsthand how evals are becoming the backbone of high-quality AI products. A well-structured eval process—both offline and online— helps teams move much faster ?? while keeping 'taste' at the heart of their products. Curious about how robust evals can accelerate your AI development lifecycle? Try it out for free https://www.getmaxim.ai and focus on what matters most—building products your users love.

?? Automate AI Quality Checks with Maxim’s GitHub Action ?? If you're using GitHub Actions for your CI/CD workflows and need a seamless way to integrate continuous quality checks for your AI application, Maxim is the solution you’re looking for. With Maxim’s GitHub Action, you can automate quality control every time you push code, create a pull request, or trigger an event. Simply pass your workflow details into the relevant variables with our GitHub Action, and Maxim will handle the rest. This enables you to leverage Maxim’s evaluation stack to test features and generate real-time scores, ensuring that only high-quality updates reach production. ?? Streamline your CI/CD pipeline with Maxim’s GitHub Action. Learn more: https://lnkd.in/ggHbEzmG