Documentation update

Cargo.toml

@@ -20,7 +20,8 @@ ci-gcp = [] # For testing on CI/GCP
 ci-aws = [] # For testing on CI/AWS
 ci-ms-presidio = [] # For testing on CI/MS Presidiom
 ci-gcp-llm = [] # For testing on CI/GCP with LLM models
-ci = ["ci-gcp", "ci-aws", "ci-ms-presidio", "ci-gcp-llm"]
+ci-open-ai = [] # For testing on CI/OpenAIP
+ci = ["ci-gcp", "ci-aws", "ci-ms-presidio", "ci-gcp-llm", "ci-open-ai"]
 
 
 [dependencies]

README.md

@@ -34,6 +34,8 @@ Google Cloud Platform's DLP API.
         * images
     * [Gemini LLM](https://ai.google.dev/gemini-api/docs) based redaction
         * text, html, csv, json files
+    * [Open AI LLM](https://openai.com/) based redaction
+        * text, html, csv, json files
     * ... more DLP providers can be added in the future.
 * **CLI:**  Easy-to-use command-line interface for streamlined workflows.
 * Built with Rust to ensure speed, safety, and reliability.
@@ -67,7 +69,7 @@ Options:
   -f, --filename-filter <FILENAME_FILTER>
           Filter by name using glob patterns such as *.txt
   -d, --redact <REDACT>
-          Redacter type [possible values: gcp-dlp, aws-comprehend, ms-presidio, gemini-llm]
+          Redacter type [possible values: gcp-dlp, aws-comprehend, ms-presidio, gemini-llm, open-ai-llm]
       --gcp-project-id <GCP_PROJECT_ID>
           GCP project id that will be used to redact and bill API calls
       --allow-unsupported-copies
@@ -86,6 +88,10 @@ Options:
           Gemini model name for Gemini LLM redacter. Default is 'models/gemini-1.5-flash'
       --sampling-size <SAMPLING_SIZE>
           Sampling size in bytes before redacting files. Disabled by default
+      --open-ai-api-key <OPEN_AI_API_KEY>
+          API key for OpenAI LLM redacter
+      --open-ai-model <OPEN_AI_MODEL>
+          Open AI model name for OpenAI LLM redacter. Default is 'gpt-4o-mini'
   -h, --help
           Print help
 ```
@@ -135,6 +141,11 @@ To be able to use GCP DLP you need to:
   official [instructions](https://ai.google.dev/gemini-api/docs/oauth#set-cloud).
 - provide a GCP project id using `--gcp-project-id` option.
 
+### Open AI LLM
+
+To be able to use Open AI LLM you need to provide an API key using `--open-ai-api-key` command line option.
+Optionally, you can provide a model name using `--open-ai-model` option. Default is `gpt-4o-mini`.
+
 ## Examples:
 
 ```sh

src/args.rs

@@ -1,7 +1,7 @@
 use crate::common_types::GcpProjectId;
 use crate::errors::AppError;
 use crate::redacters::{
-    GcpDlpRedacterOptions, GeminiLlmModelName, OpenAiLlmApiKey, RedacterOptions,
+    GcpDlpRedacterOptions, GeminiLlmModelName, OpenAiLlmApiKey, OpenAiModelName, RedacterOptions,
     RedacterProviderOptions,
 };
 use clap::*;
@@ -144,6 +144,12 @@ pub struct RedacterArgs {
 
     #[arg(long, help = "API key for OpenAI LLM redacter")]
     pub open_ai_api_key: Option<OpenAiLlmApiKey>,
+
+    #[arg(
+        long,
+        help = "Open AI model name for OpenAI LLM redacter. Default is 'gpt-4o-mini'"
+    )]
+    pub open_ai_model: Option<OpenAiModelName>,
 }
 
 impl TryInto<RedacterOptions> for RedacterArgs {
@@ -200,6 +206,7 @@ impl TryInto<RedacterOptions> for RedacterArgs {
                             message: "OpenAI API key is required for OpenAI LLM redacter"
                                 .to_string(),
                         })?,
+                    model: self.open_ai_model,
                 },
             )),
             None => Err(AppError::RedacterConfigError {

src/redacters/open_ai_llm.rs

@@ -14,9 +14,13 @@ use crate::AppResult;
 #[derive(Debug, Clone, ValueStruct)]
 pub struct OpenAiLlmApiKey(String);
 
+#[derive(Debug, Clone, ValueStruct)]
+pub struct OpenAiModelName(String);
+
 #[derive(Debug, Clone)]
 pub struct OpenAiLlmRedacterOptions {
     pub api_key: OpenAiLlmApiKey,
+    pub model: Option<OpenAiModelName>,
 }
 
 #[derive(Clone)]
@@ -50,6 +54,8 @@ struct OpenAiLlmAnalyzeChoice {
 }
 
 impl<'a> OpenAiLlmRedacter<'a> {
+    const DEFAULT_MODEL: &'static str = "gpt-4o-mini";
+
     pub async fn new(
         redacter_options: RedacterOptions,
         open_ai_llm_options: OpenAiLlmRedacterOptions,
@@ -84,7 +90,7 @@ impl<'a> OpenAiLlmRedacter<'a> {
         let generate_random_text_separator = format!("---{}", rand.gen::<u64>());
 
         let analyze_request = OpenAiLlmAnalyzeRequest {
-            model: "gpt-4o".to_string(),
+            model: self.open_ai_llm_options.model.as_ref().map(|v| v.value().clone()).unwrap_or_else(|| Self::DEFAULT_MODEL.to_string()),
             messages: vec![
                 OpenAiLlmAnalyzeMessage {
                     role: "system".to_string(),