Free
$0Free plan available.
Introduction:
Puddl is an LLMOps platform built to streamline prompt engineering and provide comprehensive insights into your LLM performance. Key features include cost tracking with detailed breakdowns, currency localization, model-specific spend analysis, a dedicated playground for prompt development and testing, request history with annotations, and advanced analytics to manage and monitor requests across various deployments.
Puddl Product Information
What is Puddl?
Puddl is an LLMOps tool designed to dramatically improve prompt engineering workflows and unlock deeper understanding of your LLMs. It offers features such as cost tracking, detailed cost breakdowns, currency localization, model-wise spends, a sleek playground for prompt creation and testing, history and annotations, and deep analytics to organize and track requests across deployments.
How to use Puddl?
Sign up for Puddl to track your OpenAI costs at no charge, gain insights to lower expenses, build and test prompts within the playground, and utilize the Python library to execute LLM requests while tracking your history.
Puddl's Core Features
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OpenAI cost tracking and analytics
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Prompt playground for creation and testing
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History and annotations for LLM requests
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Deep analytics for request tracking
Puddl Use Cases
#1
Track and reduce OpenAI costs
#2
Improve prompt engineering workflows
#3
Organize and analyze LLM requests across deployments
FAQ from Puddl
Is Puddl free to use? +
Puddl provides free cost tracking for OpenAI.
How secure are my OpenAI keys with Puddl? +
Your private keys are stored securely within your browser and are never transmitted to Puddl's servers.
Puddl Pricing
Related Model Comparison Pages
Use these comparison pages to understand the trade-offs between the models most relevant to Puddl.
Compare GPT 5.4 and GPT 5.4 Pro across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus long-context workloads.
Compare GPT 5.5 and GPT 5.4 across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus long-context workloads.
Compare GPT 5.5 and Claude 4.6 Opus across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus long-context workloads.
Compare GPT 5.5 and Claude 4.6 Sonnet across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus long-context workloads.
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