ai_transform_langchain Processor
The ai_transform_langchain processor integrates with LangChain to perform AI-driven reasoning, transformation, and logic within your data pipeline.
Use it to execute chains that perform contextual analysis, enrich or restructure data, or apply prompt-driven logic to dynamic inputs.
Whether you’re leveraging LLMs to interpret, reformat, or route content — this processor gives you a flexible interface to LangChain’s powerful capabilities.
The use cases are virtually unlimited.
Settings
| Setting | Description |
|---|---|
sub.service.type.config | http configuration (httpout service settings) to make the API requests (inc_http.properties) |
langchain.chain.name | chain name to invoke on the LangChain server |
langchain.temperature | controls randomness (0 = deterministic, 1 = creative) |
langchain.top.p | nucleus sampling (0–1); often left at 1.0 |
langchain.max.tokens | limit token output (helps cost, latency) |
langchain.response.format | controls how the AI service formats its response [ text | json_object ] |
langchain.response.output.format | format to extract from the response [json, xml, csv, raw, regex] |
langchain.response.output.format.regex | use a regular expression to extract the desired content |
langchain.response.output.format.regex.group | if using regex, specify the group (optional) |
langchain.prompt.templated | allow the use of templated prompts in the AI service |
langchain.log.prompt | log the prompt (only if templated prompt is used) |
langchain.prompt | the prompt to use for the AI service. |