feat: add fake LLM provider for testing

Set LLM_PROVIDER=fake to use mock responses without calling real LLM.
Useful for API flow tests, action engine tests, UI event tests.

src/main.rs

@@ -16,8 +16,9 @@ use std::sync::Arc;
 
 use config::AppConfig;
 use providers::help_center::nxtgauge_help_center_provider::NxtgaugeHelpCenterProvider;
-use providers::llm::ollama_provider::OllamaAiProvider;
+use providers::llm::fake_provider::FakeAiProvider;
 use providers::llm::litellm_provider::LiteLLMProvider;
+use providers::llm::ollama_provider::OllamaAiProvider;
 use providers::tickets::nxtgauge_ticket_provider::NxtgaugeTicketProvider;
 use providers::llm::ai_provider::AiProvider;
 use retrieval::embeddings::ollama_embedding_provider::OllamaEmbeddingProvider;
@@ -38,19 +39,26 @@ async fn main() {
         }
     };
 
-    let ai_provider: Arc<dyn AiProvider> = if cfg.llm_provider == "litellm" {
+    let ai_provider: Arc<dyn AiProvider> = match cfg.llm_provider.as_str() {
-        info!("Using LiteLLM provider with model {}", cfg.litellm_model);
+        "fake" => {
-        Arc::new(LiteLLMProvider::new(
+            info!("Using Fake AI provider for testing");
-            cfg.litellm_base_url.clone(),
+            Arc::new(FakeAiProvider::new()) as Arc<dyn AiProvider>
-            cfg.litellm_api_key.clone(),
+        }
-            cfg.litellm_model.clone(),
+        "litellm" => {
-        )) as Arc<dyn AiProvider>
+            info!("Using LiteLLM provider with model {}", cfg.litellm_model);
-    } else {
+            Arc::new(LiteLLMProvider::new(
-        info!("Using Ollama provider with model {}", cfg.ollama_chat_model);
+                cfg.litellm_base_url.clone(),
-        Arc::new(OllamaAiProvider::new(
+                cfg.litellm_api_key.clone(),
-            cfg.ollama_base_url.clone(),
+                cfg.litellm_model.clone(),
-            cfg.ollama_chat_model.clone(),
+            )) as Arc<dyn AiProvider>
-        )) as Arc<dyn AiProvider>
+        }
+        _ => {
+            info!("Using Ollama provider with model {}", cfg.ollama_chat_model);
+            Arc::new(OllamaAiProvider::new(
+                cfg.ollama_base_url.clone(),
+                cfg.ollama_chat_model.clone(),
+            )) as Arc<dyn AiProvider>
+        }
     };
 
     let _embedding_provider = Arc::new(OllamaEmbeddingProvider::new(

src/providers/llm/fake_provider.rs

@@ -0,0 +1,63 @@
+use async_trait::async_trait;
+
+use crate::{error::AppError, providers::llm::ai_provider::AiProvider};
+
+#[derive(Clone)]
+pub struct FakeAiProvider {
+    responses: std::collections::HashMap<String, String>,
+}
+
+impl FakeAiProvider {
+    pub fn new() -> Self {
+        let mut responses = std::collections::HashMap::new();
+        responses.insert(
+            "job description".to_string(),
+            "## React Developer\n\n**Summary**: We are looking for a skilled React Developer to join our team.\n\n**Responsibilities**:\n- Develop new user-facing features\n- Build reusable components\n- Collaborate with cross-functional teams\n\n**Requirements**:\n- 2+ years of React experience\n- TypeScript proficiency\n- Strong problem-solving skills".to_string(),
+        );
+        responses.insert(
+            "cover letter".to_string(),
+            "Dear Hiring Manager,\n\nI am excited to apply for this position. With my experience in React development and passion for creating user-friendly applications, I believe I would be a great fit for your team.\n\nPlease consider my application.\n\nBest regards".to_string(),
+        );
+        responses.insert(
+            "ticket".to_string(),
+            "Support ticket created successfully. Our team will respond within 24 hours.".to_string(),
+        );
+        responses.insert(
+            "help".to_string(),
+            "I found some helpful articles that might answer your question. You can also contact our support team for further assistance.".to_string(),
+        );
+        responses.insert(
+            "default".to_string(),
+            "I'm here to help! Could you please provide more details about what you need?".to_string(),
+        );
+        Self { responses }
+    }
+
+    pub fn with_response(mut self, trigger: &str, response: &str) -> Self {
+        self.responses.insert(trigger.to_string(), response.to_string());
+        self
+    }
+
+    fn get_response(&self, prompt: &str) -> String {
+        let prompt_lower = prompt.to_lowercase();
+        for (key, value) in &self.responses {
+            if prompt_lower.contains(&key.to_lowercase()) {
+                return value.clone();
+            }
+        }
+        self.responses.get("default").cloned().unwrap_or_default()
+    }
+}
+
+impl Default for FakeAiProvider {
+    fn default() -> Self {
+        Self::new()
+    }
+}
+
+#[async_trait]
+impl AiProvider for FakeAiProvider {
+    async fn complete(&self, _system_prompt: &str, user_prompt: &str) -> Result<String, AppError> {
+        Ok(self.get_response(user_prompt))
+    }
+}

src/providers/llm/mod.rs

@@ -1,3 +1,4 @@
 pub mod ai_provider;
-pub mod ollama_provider;
+pub mod fake_provider;
 pub mod litellm_provider;
+pub mod ollama_provider;