Stop guessing. Ship AI products with confidence
Blog post from Axiom
Axiom has announced a new set of observability features specifically designed for AI development, addressing the challenges traditional software engineering faces with the probabilistic nature of generative AI. This new toolkit provides deep, actionable observability by capturing AI-specific data such as prompts, completions, and tool calls, which standard logging cannot adequately track. The features include a refreshed trace visualization for debugging complex workflows, a Generative AI Overview dashboard for strategic insights on cost, performance, and usage, and real-time cost tracking using the open-source ModelDB API. The initial release integrates seamlessly with Vercel's AI SDK, based on the OpenTelemetry standard, and plans are in place to expand support to other programming languages. Axiom aims to provide AI development teams with the tools needed to build and iterate AI capabilities with the same confidence and rigor as traditional software engineering, with future plans to introduce an evaluation framework for measuring and improving AI quality.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| Observability | 10 | 1,786 | 415 | 157 | -19% |
| OpenTelemetry | 4 | 532 | 61 | 40 | +14% |
| LLM | 2 | 4,410 | 670 | 222 | -3% |
| Real-time | 2 | 4,881 | 1,155 | 268 | -10% |
| AI Guardrails | 1 | 428 | 112 | 48 | +7% |
| Loop engineering | 1 | 7 | 7 | 7 | +600% |
| Multi-agent systems | 1 | 470 | 101 | 50 | +55% |
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