Identifying at which point chains & agents fail is hard, iterating on the point of failure is even harder, and seeing how the fix works across different inputs is almost impossible.

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Prompt IDE

For this purpose, we developed the Prompt IDE (PIDE) which is a purpose-built code editor allowing you to quickly iterate on chains & agents across many inputs. If you are building with chains or agents, book a meeting to be part of our private alpha!

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Your Own Code Editor

You can iterate on your chains & agents much faster by using a local cache. This will allow you to make changes to your code & prompts without waiting for all previous, valid LLM responses. Simply add these two lines to the beginning your code and start a local redis cache:

from parea import init, RedisCache

init(cache=RedisCache())

Above will use the default redis cache at localhost:6379 with no password. You can also specify your redis database by:

from parea import init, RedisCache

cache = RedisCache(
    host=os.getenv("REDIS_HOST", "localhost"),  # default value
    port=int(os.getenv("REDIS_PORT", 6379)),    # default value
    password=os.getenv("REDIS_PASSWORT", None)  # default value
)
init(cache=cache)                               # default value

If you set cache = None for init, no cache will be used.

PromptsOverview