Papaya reads your agent’s production traces, and its code if you connect it, finds the changes that will improve quality, latency, and cost, and helps you ship them. Here is what happens at each step.
Wrap your LLM calls and then spend your time building the new features customers want, not on agent maintenance.
Using the Papaya SDK, you can wrap any LLM or agent client with a single line of code. Alternatively, connect Papaya directly to your observability tool or share a dataset in any format. Papaya will automatically detect the shape of the data. Connecting your code repository is optional, but it improves the results.
Papaya runs 200+ research-backed analyses against your traces. It identifies the improvements that matter most and ranks them by expected impact.
Understand the exact runs that are producing a recommendation and then choose to implement. Automatic alerts in your tool of choice when a new optimization is found.
Start with whichever is easiest. Traces are all Papaya needs for a first analysis.
Wrap any LLM or agent client with one line of code. Supports OpenAI, Anthropic, Vercel AI SDK, Bedrock, and Gemini.
Built your own agent loop? The fetch wrapper works with any model provider.
Connect Papaya to the tool that already collects your traces.
Share an export for a one-off analysis, even a raw one. Papaya detects its shape.
Optional, but it improves the results: findings tie to the code behind them, and fixes arrive as pull requests.
Papaya runs 200+ research-backed analyses across six areas of agent behavior, then ranks what it finds by expected impact on quality, latency, and cost.
The same conversation history is sent again on every turn.
The exact runs that produce the finding, and how many runs it affects.
The prompt, tools, and context as the model saw them in those runs.
Estimated impact on quality, latency, and cost, with risk and confidence.
A proposed change you can review, delivered as a pull request or a Slack alert.
Shipping a fix starts the next loop, not the end of one.
You choose which fixes to ship. Papaya can open a pull request for each one you approve.
As new traces come in, Papaya shows what the fix changed for quality, latency, and cost.
Live alerts when quality metrics drift, before a customer escalates.
Every fix and every new run feeds the next analysis. Nothing starts from zero.
Share traces from one workflow, in any format, and we’ll walk you through the ranked fixes. Questions first? The docs FAQ covers setup, data, and models.
'%3e%3cpath%20id='stem'%20d='M50,4C51,4%2052.4,5%2052.8,5.8C53,8.5%2052.8,12.5%2052.4,14.8C52.2,15.5%2051.7,15.9%2050.9,15.9L49.2,15.9C48.4,15.9%2047.9,15.5%2047.8,14.8L47.5,6.2C48,5.4%2049,4.4%2050,4Z'%20style='fill:rgb(2,103,193);fill-rule:nonzero;'/%3e%3cpath%20id='leaf'%20d='M55.4,12.5C57.2,11%2062.254,9.359%2065.789,10.737C69.999,12.377%2070.7,15.3%2071.2,16.8C69.8,17.7%2067.4,18%2065,18C61.3,17.8%2058.3,15.5%2055.4,12.5Z'%20style='fill:rgb(2,103,193);fill-rule:nonzero;'/%3e%3cpath%20id='left-flesh'%20d='M50,15.8C46.7,15.6%2043.2,16.2%2040.1,19.3C37.3,21.9%2035.6,27.1%2033.2,32.9C31.8,36.6%2029.7,40%2027,43.6C21.8,50.8%2018.9,59.3%2018.9,66.1L39.9,62.3C40.6,55.5%2048,44%2050,41.3L50,15.8Z'%20style='fill:rgb(239,160,11);fill-rule:nonzero;'/%3e%3cpath%20id='right-flesh'%20d='M50,15.8C53.3,15.6%2056.8,16.2%2059.9,19.3C62.7,21.9%2064.4,27.1%2066.8,32.9C68.2,36.6%2070.3,40%2073,43.6C78.2,50.8%2081.1,59.3%2081.1,66.1C81.1,72.853%2078.902,79.423%2074.838,84.816L57.525,71.138C59.375,68.875%2060.4,65.75%2060.1,62.3C59.4,55.5%2052,44%2050,41.3L50,15.8Z'%20style='fill:rgb(214,81,8);fill-rule:nonzero;'/%3e%3cpath%20id='blue-base'%20d='M18.9,66.1L39.9,62.3C39.3,69.2%2044,74.8%2050,74.8C53,74.8%2055.675,73.4%2057.525,71.138L74.838,84.816C68.961,92.614%2059.764,97.2%2050,97.2C32.824,97.2%2018.9,83.276%2018.9,66.1Z'%20style='fill:rgb(2,103,193);fill-rule:nonzero;'/%3e%3c/g%3e%3c/svg%3e)