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Utilities
OpenAI chat responses from a file and a prompt.
overview
openai-file is the LLM step in a pipeline: it sends a file and a prompt to an OpenAI chat model and writes the response for the next node.
Model choice is gpt4, 4-32k, chatgpt, or chatgpt-16k. Larger windows fit bigger files at higher cost. The API key arrives as a file input, not on the command line.
Point it at a scan report, findings list, or crawled text when you need summarize, classify, or rewrite before a human or another tool.
source github.com/simonw/llm
use cases
Feed a findings file with a prompt that asks for a short summary, so a long report becomes a few readable lines for the next reviewer.
Pass a list of results and ask the model to group or rank them, turning unsorted output into a prioritized view inside the workflow.
Choose gpt-4-32k or the 16k turbo variant when the input file is large, or a smaller model when context and cost should stay low.
Prompt the model to reshape raw tool text into prose for a writeup, keeping the rewrite inside the pipeline rather than a manual step.
reference
| Name | Type | Flag | Description |
|---|---|---|---|
| input-file | FILE | · | Input file for the model to read. |
| prompt | STRING | · | Prompt applied to the file input. |
| open-ai-api-key | FILE | · | OpenAI API key, supplied as a file. |
| gpt-4 | BOOLEAN | gpt4 | Use OpenAI Chat gpt-4 (aliases 4, gpt4). |
| gpt-4-32k | BOOLEAN | 4-32k | Use OpenAI Chat gpt-4-32k for larger context. |
| gpt-3-5-turbo | BOOLEAN | chatgpt | Use OpenAI Chat gpt-3.5-turbo (aliases 3.5, chatgpt). |
| gpt-3-5-turbo-16k | BOOLEAN | chatgpt-16k | Use OpenAI Chat gpt-3.5-turbo-16k for a wider context window. |
Showing key inputs. openai-file exposes 7 inputs in total.
example
# openai-file: summarize hosts.txt with gpt-4# openai-file input=hosts.txt prompt="List live hosts" gpt4Live hosts from the scan:api.example.comapp.example.comstaging.example.comdev.example.commail.example.comvpn.example.com# openai-file summary of 6 hostsguidance
Use openai-file when a workflow needs an LLM to read a file and return text. It calls OpenAI and needs a key plus outbound access. For deterministic transforms without a model, prefer a text or report utility.
Renders structured data without a model. Prefer it for deterministic transforms.
Builds reports from fixed templates. openai-file uses an LLM for free-form text.
Flattens JSON for grepping. openai-file is generative summarizing, not mechanical reformatting.
faq
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A scan report and an API key feed openai-file, which prompts an OpenAI model over the file and writes the generated summary as output.
Facts on this page come from the live Trickest tool library.