update

Example:

from langchain_core.outputs import Generation

cache = RedisCache(redis_url="redis://localhost:6379", ttl=3600)
prompt = "What is the capital of France?"
llm_string = "openai/gpt-3.5-turbo"
result = [Generation(text="The capital of France is Paris.")]

cache.update(prompt, llm_string, result)

Note:

• The method uses an MD5 hash of the prompt and llm_string to create the cache key.
• The result is stored as JSON in Redis.
• If a TTL (Time To Live) was specified when initializing the cache, it will be applied to this entry.
• This method is typically called internally by LangChain after a language model generates a response, but it can be used directly for manual cache updates.
• If the cache already contains an entry for this prompt and llm_string, it will be overwritten.