Phase 6: Multi-provider support with OpenAI and Anthropic

Backend:
- OpenAiProvider: Responses API with web_search_preview (pass 1),
  Chat Completions with json_schema structured output (pass 2)
- AnthropicProvider: Messages API with web_search tool (pass 1),
  schema-in-prompt for structured output, code fence stripping (pass 2)
- Pipeline adaptation: skip scrape+rewrite when >70% of search URLs are valid
- Provider factory updated for all three providers
- Error sanitization extended for Anthropic key patterns (sk-ant-)
- 44 new unit tests (OpenAI, Anthropic, factory, pipeline heuristic)

Frontend:
- Provider-specific info text below model selection
- Web search support badges (green/gray)
- Generate page shows selected provider and model
- Warning banner when provider lacks web search
- Provider utility module with 10 tests

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

backend/src/services/llm/anthropic.rs

@@ -0,0 +1,562 @@
+//! Anthropic LLM provider implementation.
+//!
+//! Implements the `LlmProvider` trait using the Anthropic Messages API.
+//! - **Pass 1 (search)**: Messages API with `web_search_20250305` tool
+//! - **Pass 2 (rewrite)**: Messages API without tools, JSON via prompt instructions
+
+use async_trait::async_trait;
+use serde_json::Value;
+
+use super::LlmProvider;
+use crate::errors::AppError;
+
+/// Anthropic API version header value.
+const ANTHROPIC_VERSION: &str = "2023-06-01";
+
+/// Default max tokens for Anthropic responses.
+const DEFAULT_MAX_TOKENS: u32 = 16384;
+
+/// Maximum web search uses per request.
+const WEB_SEARCH_MAX_USES: u32 = 10;
+
+/// Anthropic provider.
+///
+/// Holds the API key and an HTTP client for making requests
+/// to the Anthropic Messages API.
+pub struct AnthropicProvider {
+    api_key: String,
+    http_client: reqwest::Client,
+}
+
+impl AnthropicProvider {
+    /// Create a new Anthropic provider with the given API key and HTTP client.
+    pub fn new(api_key: String, http_client: reqwest::Client) -> Self {
+        Self {
+            api_key,
+            http_client,
+        }
+    }
+
+    /// Execute a request to the Anthropic Messages API.
+    ///
+    /// Sends a POST to `https://api.anthropic.com/v1/messages` with the
+    /// appropriate headers and body. When `include_web_search` is true,
+    /// the `web_search_20250305` tool is included.
+    async fn call_messages_api(
+        &self,
+        model: &str,
+        system_prompt: &str,
+        user_prompt: &str,
+        response_schema: &Value,
+        include_web_search: bool,
+    ) -> Result<Value, AppError> {
+        // Anthropic doesn't have native JSON schema enforcement like OpenAI/Gemini.
+        // We embed the schema in the system prompt to instruct Claude to respond with
+        // valid JSON matching the schema.
+        let schema_instruction = format!(
+            "\n\nYou MUST respond with valid JSON and nothing else. \
+             No markdown, no code fences, no explanations. \
+             The JSON must match this exact schema:\n{}",
+            serde_json::to_string_pretty(response_schema).unwrap_or_default()
+        );
+
+        let full_system_prompt = format!("{}{}", system_prompt, schema_instruction);
+
+        let mut body = serde_json::json!({
+            "model": model,
+            "max_tokens": DEFAULT_MAX_TOKENS,
+            "system": full_system_prompt,
+            "messages": [{
+                "role": "user",
+                "content": user_prompt
+            }]
+        });
+
+        if include_web_search {
+            body["tools"] = serde_json::json!([{
+                "type": "web_search_20250305",
+                "name": "web_search",
+                "max_uses": WEB_SEARCH_MAX_USES
+            }]);
+        }
+
+        let response = self
+            .http_client
+            .post("https://api.anthropic.com/v1/messages")
+            .header("x-api-key", &self.api_key)
+            .header("anthropic-version", ANTHROPIC_VERSION)
+            .header("Content-Type", "application/json")
+            .json(&body)
+            .send()
+            .await
+            .map_err(|e| {
+                let kind = if e.is_timeout() {
+                    "timeout"
+                } else if e.is_connect() {
+                    "connection error"
+                } else {
+                    "network error"
+                };
+                tracing::error!("Anthropic API request failed: {}", kind);
+                AppError::Internal(anyhow::anyhow!("Failed to connect to Anthropic API"))
+            })?;
+
+        let status = response.status();
+        let response_body: Value = response.json().await.map_err(|e| {
+            tracing::error!("Failed to parse Anthropic response body: {}", e);
+            AppError::Internal(anyhow::anyhow!("Failed to parse Anthropic API response"))
+        })?;
+
+        if !status.is_success() {
+            return Err(map_anthropic_error(status.as_u16(), &response_body));
+        }
+
+        extract_content(&response_body)
+    }
+}
+
+#[async_trait]
+impl LlmProvider for AnthropicProvider {
+    fn provider_id(&self) -> &str {
+        "anthropic"
+    }
+
+    async fn generate_search_pass(
+        &self,
+        model: &str,
+        system_prompt: &str,
+        user_prompt: &str,
+        response_schema: &Value,
+    ) -> Result<Value, AppError> {
+        self.call_messages_api(model, system_prompt, user_prompt, response_schema, true)
+            .await
+    }
+
+    async fn generate_rewrite_pass(
+        &self,
+        model: &str,
+        system_prompt: &str,
+        user_prompt: &str,
+        response_schema: &Value,
+    ) -> Result<Value, AppError> {
+        self.call_messages_api(model, system_prompt, user_prompt, response_schema, false)
+            .await
+    }
+
+    fn supports_web_search(&self) -> bool {
+        true
+    }
+}
+
+/// Extract the text content from an Anthropic Messages API response.
+///
+/// The response structure is:
+/// ```json
+/// {
+///   "content": [
+///     { "type": "text", "text": "..." },
+///     { "type": "web_search_tool_result", ... },
+///     { "type": "text", "text": "{...json...}" }
+///   ]
+/// }
+/// ```
+///
+/// We scan for the last `text` block (which typically contains the final answer)
+/// and parse it as JSON.
+fn extract_content(response: &Value) -> Result<Value, AppError> {
+    let content = response
+        .get("content")
+        .and_then(|c| c.as_array())
+        .ok_or_else(|| {
+            tracing::error!("Unexpected Anthropic response structure: missing 'content' array");
+            AppError::Internal(anyhow::anyhow!(
+                "Anthropic API returned an unexpected response structure"
+            ))
+        })?;
+
+    // Find the last text block — the final answer after any tool results
+    let mut last_text: Option<&str> = None;
+    for block in content {
+        if block.get("type").and_then(|t| t.as_str()) == Some("text") {
+            if let Some(text) = block.get("text").and_then(|t| t.as_str()) {
+                if !text.trim().is_empty() {
+                    last_text = Some(text);
+                }
+            }
+        }
+    }
+
+    let text = last_text.ok_or_else(|| {
+        tracing::error!("No text content found in Anthropic response");
+        AppError::Internal(anyhow::anyhow!(
+            "Anthropic API returned no text content"
+        ))
+    })?;
+
+    // Claude sometimes wraps JSON in markdown code fences — strip them
+    let cleaned = strip_code_fences(text);
+
+    serde_json::from_str(cleaned).map_err(|e| {
+        tracing::error!("Failed to parse Anthropic JSON output: {}", e);
+        AppError::Internal(anyhow::anyhow!(
+            "Anthropic returned invalid JSON in structured output"
+        ))
+    })
+}
+
+/// Strip markdown code fences from a string if present.
+///
+/// Handles patterns like:
+/// - ```json\n{...}\n```
+/// - ```\n{...}\n```
+fn strip_code_fences(text: &str) -> &str {
+    let trimmed = text.trim();
+
+    // Check for ```json or ``` prefix
+    let without_prefix = if trimmed.starts_with("```json") {
+        &trimmed[7..]
+    } else if trimmed.starts_with("```") {
+        &trimmed[3..]
+    } else {
+        return trimmed;
+    };
+
+    // Strip the closing ```
+    let without_suffix = if without_prefix.trim_end().ends_with("```") {
+        let end = without_prefix.trim_end();
+        &end[..end.len() - 3]
+    } else {
+        without_prefix
+    };
+
+    without_suffix.trim()
+}
+
+/// Map Anthropic API error responses to appropriate `AppError` variants.
+///
+/// Handles common error codes without exposing internal details.
+fn map_anthropic_error(status: u16, body: &Value) -> AppError {
+    let error_message = body
+        .get("error")
+        .and_then(|e| e.get("message"))
+        .and_then(|m| m.as_str())
+        .unwrap_or("Unknown error");
+
+    let error_type = body
+        .get("error")
+        .and_then(|e| e.get("type"))
+        .and_then(|t| t.as_str())
+        .unwrap_or("");
+
+    // Log error details but NEVER the API key
+    tracing::error!(
+        "Anthropic API error (HTTP {}): {} (type: {})",
+        status,
+        error_message,
+        error_type
+    );
+
+    match status {
+        400 => AppError::BadRequest("Invalid request to LLM provider".into()),
+        401 => AppError::BadRequest("Invalid or unauthorized API key".into()),
+        403 => AppError::BadRequest("Access denied by LLM provider".into()),
+        404 => AppError::BadRequest("Model not found or not available".into()),
+        429 => AppError::RateLimited(
+            "LLM provider rate limit exceeded. Please try again later.".into(),
+        ),
+        529 => AppError::RateLimited(
+            "LLM provider is overloaded. Please try again later.".into(),
+        ),
+        _ => AppError::Internal(anyhow::anyhow!("LLM provider returned an error")),
+    }
+}
+
+#[cfg(test)]
+mod tests {
+    use super::*;
+
+    // ── Provider metadata ───────────────────────────────────────
+
+    #[test]
+    fn anthropic_provider_metadata() {
+        let provider = AnthropicProvider::new("test-key".into(), reqwest::Client::new());
+        assert_eq!(provider.provider_id(), "anthropic");
+        assert!(provider.supports_web_search());
+    }
+
+    // ── Content extraction ──────────────────────────────────────
+
+    #[test]
+    fn extract_content_valid_simple_text() {
+        let response = serde_json::json!({
+            "id": "msg_123",
+            "type": "message",
+            "role": "assistant",
+            "content": [
+                {
+                    "type": "text",
+                    "text": "{\"category_0\": [{\"title\": \"Test\", \"url\": \"https://example.com\", \"summary\": \"A test article\"}]}"
+                }
+            ],
+            "stop_reason": "end_turn"
+        });
+
+        let result = extract_content(&response).unwrap();
+        assert!(result["category_0"].is_array());
+        assert_eq!(result["category_0"][0]["title"].as_str().unwrap(), "Test");
+    }
+
+    #[test]
+    fn extract_content_with_web_search_results() {
+        // When web_search is used, the response may contain tool results interleaved with text
+        let response = serde_json::json!({
+            "content": [
+                {
+                    "type": "text",
+                    "text": "Let me search for that information."
+                },
+                {
+                    "type": "server_tool_use",
+                    "id": "srvtoolu_123",
+                    "name": "web_search",
+                    "input": { "query": "AI news this week" }
+                },
+                {
+                    "type": "web_search_tool_result",
+                    "tool_use_id": "srvtoolu_123",
+                    "content": [
+                        {
+                            "type": "web_search_result",
+                            "url": "https://example.com/ai-news",
+                            "title": "AI News"
+                        }
+                    ]
+                },
+                {
+                    "type": "text",
+                    "text": "{\"category_0\": [{\"title\": \"AI Breakthrough\", \"url\": \"https://example.com/ai-news\", \"summary\": \"Major AI advancement\"}]}"
+                }
+            ]
+        });
+
+        let result = extract_content(&response).unwrap();
+        assert!(result["category_0"].is_array());
+        assert_eq!(
+            result["category_0"][0]["title"].as_str().unwrap(),
+            "AI Breakthrough"
+        );
+    }
+
+    #[test]
+    fn extract_content_with_code_fences() {
+        let response = serde_json::json!({
+            "content": [
+                {
+                    "type": "text",
+                    "text": "```json\n{\"category_0\": [{\"title\": \"Test\", \"url\": \"https://example.com\", \"summary\": \"Sum\"}]}\n```"
+                }
+            ]
+        });
+
+        let result = extract_content(&response).unwrap();
+        assert!(result["category_0"].is_array());
+    }
+
+    #[test]
+    fn extract_content_missing_content_array() {
+        let response = serde_json::json!({});
+        assert!(extract_content(&response).is_err());
+    }
+
+    #[test]
+    fn extract_content_empty_content_array() {
+        let response = serde_json::json!({"content": []});
+        assert!(extract_content(&response).is_err());
+    }
+
+    #[test]
+    fn extract_content_no_text_blocks() {
+        let response = serde_json::json!({
+            "content": [
+                {
+                    "type": "web_search_tool_result",
+                    "tool_use_id": "srvtoolu_123",
+                    "content": []
+                }
+            ]
+        });
+        assert!(extract_content(&response).is_err());
+    }
+
+    #[test]
+    fn extract_content_invalid_json_text() {
+        let response = serde_json::json!({
+            "content": [
+                {
+                    "type": "text",
+                    "text": "This is not valid JSON at all"
+                }
+            ]
+        });
+        assert!(extract_content(&response).is_err());
+    }
+
+    // ── Code fence stripping ────────────────────────────────────
+
+    #[test]
+    fn strip_code_fences_json_fences() {
+        let input = "```json\n{\"key\": \"value\"}\n```";
+        assert_eq!(strip_code_fences(input), "{\"key\": \"value\"}");
+    }
+
+    #[test]
+    fn strip_code_fences_plain_fences() {
+        let input = "```\n{\"key\": \"value\"}\n```";
+        assert_eq!(strip_code_fences(input), "{\"key\": \"value\"}");
+    }
+
+    #[test]
+    fn strip_code_fences_no_fences() {
+        let input = "{\"key\": \"value\"}";
+        assert_eq!(strip_code_fences(input), "{\"key\": \"value\"}");
+    }
+
+    #[test]
+    fn strip_code_fences_with_whitespace() {
+        let input = "  ```json\n  {\"key\": \"value\"}  \n  ```  ";
+        let result = strip_code_fences(input);
+        // After stripping fences, we get trimmed JSON
+        assert!(result.contains("\"key\""));
+    }
+
+    // ── Error mapping tests ─────────────────────────────────────
+
+    #[test]
+    fn map_anthropic_error_invalid_key() {
+        let body = serde_json::json!({
+            "type": "error",
+            "error": {
+                "type": "authentication_error",
+                "message": "invalid x-api-key"
+            }
+        });
+
+        let err = map_anthropic_error(401, &body);
+        match err {
+            AppError::BadRequest(msg) => assert!(msg.contains("unauthorized")),
+            _ => panic!("Expected BadRequest for 401"),
+        }
+    }
+
+    #[test]
+    fn map_anthropic_error_rate_limited() {
+        let body = serde_json::json!({
+            "type": "error",
+            "error": {
+                "type": "rate_limit_error",
+                "message": "Rate limit exceeded"
+            }
+        });
+
+        let err = map_anthropic_error(429, &body);
+        match err {
+            AppError::RateLimited(msg) => assert!(msg.contains("rate limit")),
+            _ => panic!("Expected RateLimited for 429"),
+        }
+    }
+
+    #[test]
+    fn map_anthropic_error_overloaded() {
+        let body = serde_json::json!({
+            "type": "error",
+            "error": {
+                "type": "overloaded_error",
+                "message": "Overloaded"
+            }
+        });
+
+        let err = map_anthropic_error(529, &body);
+        match err {
+            AppError::RateLimited(msg) => assert!(msg.contains("overloaded")),
+            _ => panic!("Expected RateLimited for 529 (overloaded)"),
+        }
+    }
+
+    #[test]
+    fn map_anthropic_error_bad_request() {
+        let body = serde_json::json!({
+            "type": "error",
+            "error": {
+                "type": "invalid_request_error",
+                "message": "max_tokens must be positive"
+            }
+        });
+
+        let err = map_anthropic_error(400, &body);
+        match err {
+            AppError::BadRequest(msg) => assert!(msg.contains("Invalid request")),
+            _ => panic!("Expected BadRequest for 400"),
+        }
+    }
+
+    #[test]
+    fn map_anthropic_error_model_not_found() {
+        let body = serde_json::json!({
+            "type": "error",
+            "error": {
+                "type": "not_found_error",
+                "message": "model: claude-unknown not found"
+            }
+        });
+
+        let err = map_anthropic_error(404, &body);
+        match err {
+            AppError::BadRequest(msg) => assert!(msg.contains("not found")),
+            _ => panic!("Expected BadRequest for 404"),
+        }
+    }
+
+    #[test]
+    fn map_anthropic_error_server_error() {
+        let body = serde_json::json!({
+            "type": "error",
+            "error": {
+                "type": "api_error",
+                "message": "Internal server error"
+            }
+        });
+
+        let err = map_anthropic_error(500, &body);
+        match err {
+            AppError::Internal(_) => {} // expected
+            _ => panic!("Expected Internal for 500"),
+        }
+    }
+
+    #[test]
+    fn map_anthropic_error_forbidden() {
+        let body = serde_json::json!({
+            "type": "error",
+            "error": {
+                "type": "permission_error",
+                "message": "Forbidden"
+            }
+        });
+
+        let err = map_anthropic_error(403, &body);
+        match err {
+            AppError::BadRequest(msg) => assert!(msg.contains("Access denied")),
+            _ => panic!("Expected BadRequest for 403"),
+        }
+    }
+
+    #[test]
+    fn map_anthropic_error_unknown_body() {
+        let body = serde_json::json!({});
+        let err = map_anthropic_error(503, &body);
+        match err {
+            AppError::Internal(_) => {} // expected
+            _ => panic!("Expected Internal for 503"),
+        }
+    }
+}

backend/src/services/llm/factory.rs

@@ -1,7 +1,9 @@
 //! Provider factory: creates the correct `LlmProvider` implementation
 //! based on the provider name and the user's decrypted API key.
 
+use super::anthropic::AnthropicProvider;
 use super::gemini::GeminiProvider;
+use super::openai::OpenAiProvider;
 use super::LlmProvider;
 use crate::errors::AppError;
 
@@ -13,7 +15,7 @@ use crate::errors::AppError;
 /// * `http_client` — Shared HTTP client for making API calls
 ///
 /// # Errors
-/// Returns `AppError::BadRequest` if the provider is not yet supported.
+/// Returns `AppError::BadRequest` if the provider name is unknown.
 pub fn create_provider(
     provider_name: &str,
     api_key: String,
@@ -21,12 +23,11 @@ pub fn create_provider(
 ) -> Result<Box<dyn LlmProvider>, AppError> {
     match provider_name {
         "gemini" => Ok(Box::new(GeminiProvider::new(api_key, http_client.clone()))),
-        "openai" => Err(AppError::BadRequest(
-            "OpenAI provider is not yet implemented (planned for Phase 6)".into(),
-        )),
-        "anthropic" => Err(AppError::BadRequest(
-            "Anthropic provider is not yet implemented (planned for Phase 6)".into(),
-        )),
+        "openai" => Ok(Box::new(OpenAiProvider::new(api_key, http_client.clone()))),
+        "anthropic" => Ok(Box::new(AnthropicProvider::new(
+            api_key,
+            http_client.clone(),
+        ))),
         _ => Err(AppError::BadRequest(format!(
             "Unknown provider: '{}'",
             provider_name
@@ -47,25 +48,19 @@ mod tests {
     }
 
     #[test]
-    fn factory_rejects_openai() {
+    fn factory_creates_openai_provider() {
         let client = reqwest::Client::new();
-        let result = create_provider("openai", "test-key".into(), &client);
-        match result {
-            Err(AppError::BadRequest(msg)) => assert!(msg.contains("not yet implemented")),
-            Err(_) => panic!("Expected BadRequest variant"),
-            Ok(_) => panic!("Expected error for openai"),
-        }
+        let provider = create_provider("openai", "test-key".into(), &client).unwrap();
+        assert_eq!(provider.provider_id(), "openai");
+        assert!(provider.supports_web_search());
     }
 
     #[test]
-    fn factory_rejects_anthropic() {
+    fn factory_creates_anthropic_provider() {
         let client = reqwest::Client::new();
-        let result = create_provider("anthropic", "test-key".into(), &client);
-        match result {
-            Err(AppError::BadRequest(msg)) => assert!(msg.contains("not yet implemented")),
-            Err(_) => panic!("Expected BadRequest variant"),
-            Ok(_) => panic!("Expected error for anthropic"),
-        }
+        let provider = create_provider("anthropic", "test-key".into(), &client).unwrap();
+        assert_eq!(provider.provider_id(), "anthropic");
+        assert!(provider.supports_web_search());
     }
 
     #[test]
@@ -78,4 +73,15 @@ mod tests {
             Ok(_) => panic!("Expected error for unknown provider"),
         }
     }
+
+    #[test]
+    fn factory_rejects_empty_provider() {
+        let client = reqwest::Client::new();
+        let result = create_provider("", "test-key".into(), &client);
+        match result {
+            Err(AppError::BadRequest(msg)) => assert!(msg.contains("Unknown provider")),
+            Err(_) => panic!("Expected BadRequest variant"),
+            Ok(_) => panic!("Expected error for empty provider"),
+        }
+    }
 }

backend/src/services/llm/mod.rs

@@ -3,8 +3,10 @@
 //! Defines the `LlmProvider` trait that all LLM providers implement,
 //! along with shared types and the provider factory function.
 
+pub mod anthropic;
 pub mod factory;
 pub mod gemini;
+pub mod openai;
 pub mod schema;
 
 use async_trait::async_trait;

backend/src/services/llm/openai.rs

@@ -0,0 +1,577 @@
+//! OpenAI LLM provider implementation.
+//!
+//! Implements the `LlmProvider` trait using two OpenAI APIs:
+//! - **Pass 1 (search)**: Responses API (`/v1/responses`) with `web_search_preview` tool
+//! - **Pass 2 (rewrite)**: Chat Completions API (`/v1/chat/completions`) with structured output
+
+use async_trait::async_trait;
+use serde_json::Value;
+
+use super::LlmProvider;
+use crate::errors::AppError;
+
+/// OpenAI provider.
+///
+/// Holds the API key and an HTTP client for making requests
+/// to the OpenAI Responses and Chat Completions APIs.
+pub struct OpenAiProvider {
+    api_key: String,
+    http_client: reqwest::Client,
+}
+
+impl OpenAiProvider {
+    /// Create a new OpenAI provider with the given API key and HTTP client.
+    pub fn new(api_key: String, http_client: reqwest::Client) -> Self {
+        Self {
+            api_key,
+            http_client,
+        }
+    }
+
+    /// Execute a request to the OpenAI Responses API (Pass 1).
+    ///
+    /// Uses the Responses API with `web_search_preview` tool for grounded search results
+    /// and structured output via `json_schema` text format.
+    async fn call_responses_api(
+        &self,
+        model: &str,
+        system_prompt: &str,
+        user_prompt: &str,
+        response_schema: &Value,
+        include_web_search: bool,
+    ) -> Result<Value, AppError> {
+        let mut body = serde_json::json!({
+            "model": model,
+            "instructions": system_prompt,
+            "input": user_prompt,
+            "text": {
+                "format": {
+                    "type": "json_schema",
+                    "name": "synthesis",
+                    "strict": true,
+                    "schema": response_schema
+                }
+            }
+        });
+
+        if include_web_search {
+            body["tools"] = serde_json::json!([{
+                "type": "web_search_preview"
+            }]);
+        }
+
+        let response = self
+            .http_client
+            .post("https://api.openai.com/v1/responses")
+            .header("Authorization", format!("Bearer {}", self.api_key))
+            .header("Content-Type", "application/json")
+            .json(&body)
+            .send()
+            .await
+            .map_err(|e| {
+                let kind = if e.is_timeout() {
+                    "timeout"
+                } else if e.is_connect() {
+                    "connection error"
+                } else {
+                    "network error"
+                };
+                tracing::error!("OpenAI Responses API request failed: {}", kind);
+                AppError::Internal(anyhow::anyhow!("Failed to connect to OpenAI API"))
+            })?;
+
+        let status = response.status();
+        let response_body: Value = response.json().await.map_err(|e| {
+            tracing::error!("Failed to parse OpenAI response body: {}", e);
+            AppError::Internal(anyhow::anyhow!("Failed to parse OpenAI API response"))
+        })?;
+
+        if !status.is_success() {
+            return Err(map_openai_error(status.as_u16(), &response_body));
+        }
+
+        extract_responses_api_content(&response_body)
+    }
+
+    /// Execute a request to the OpenAI Chat Completions API (Pass 2).
+    ///
+    /// Uses the Chat Completions API with `json_schema` response format
+    /// for structured output without web search.
+    async fn call_chat_completions_api(
+        &self,
+        model: &str,
+        system_prompt: &str,
+        user_prompt: &str,
+        response_schema: &Value,
+    ) -> Result<Value, AppError> {
+        let body = serde_json::json!({
+            "model": model,
+            "messages": [
+                {
+                    "role": "system",
+                    "content": system_prompt
+                },
+                {
+                    "role": "user",
+                    "content": user_prompt
+                }
+            ],
+            "response_format": {
+                "type": "json_schema",
+                "json_schema": {
+                    "name": "synthesis",
+                    "strict": true,
+                    "schema": response_schema
+                }
+            }
+        });
+
+        let response = self
+            .http_client
+            .post("https://api.openai.com/v1/chat/completions")
+            .header("Authorization", format!("Bearer {}", self.api_key))
+            .header("Content-Type", "application/json")
+            .json(&body)
+            .send()
+            .await
+            .map_err(|e| {
+                let kind = if e.is_timeout() {
+                    "timeout"
+                } else if e.is_connect() {
+                    "connection error"
+                } else {
+                    "network error"
+                };
+                tracing::error!("OpenAI Chat Completions API request failed: {}", kind);
+                AppError::Internal(anyhow::anyhow!("Failed to connect to OpenAI API"))
+            })?;
+
+        let status = response.status();
+        let response_body: Value = response.json().await.map_err(|e| {
+            tracing::error!("Failed to parse OpenAI response body: {}", e);
+            AppError::Internal(anyhow::anyhow!("Failed to parse OpenAI API response"))
+        })?;
+
+        if !status.is_success() {
+            return Err(map_openai_error(status.as_u16(), &response_body));
+        }
+
+        extract_chat_completions_content(&response_body)
+    }
+}
+
+#[async_trait]
+impl LlmProvider for OpenAiProvider {
+    fn provider_id(&self) -> &str {
+        "openai"
+    }
+
+    async fn generate_search_pass(
+        &self,
+        model: &str,
+        system_prompt: &str,
+        user_prompt: &str,
+        response_schema: &Value,
+    ) -> Result<Value, AppError> {
+        self.call_responses_api(model, system_prompt, user_prompt, response_schema, true)
+            .await
+    }
+
+    async fn generate_rewrite_pass(
+        &self,
+        model: &str,
+        system_prompt: &str,
+        user_prompt: &str,
+        response_schema: &Value,
+    ) -> Result<Value, AppError> {
+        self.call_chat_completions_api(model, system_prompt, user_prompt, response_schema)
+            .await
+    }
+
+    fn supports_web_search(&self) -> bool {
+        true
+    }
+}
+
+/// Extract the text content from an OpenAI Responses API response.
+///
+/// The Responses API returns:
+/// ```json
+/// {
+///   "output": [
+///     { "type": "web_search_call", ... },
+///     { "type": "message", "content": [{ "type": "output_text", "text": "..." }] }
+///   ]
+/// }
+/// ```
+///
+/// We scan for `output_text` blocks and parse the first one as JSON.
+fn extract_responses_api_content(response: &Value) -> Result<Value, AppError> {
+    let output = response
+        .get("output")
+        .and_then(|o| o.as_array())
+        .ok_or_else(|| {
+            tracing::error!(
+                "Unexpected OpenAI Responses API structure: missing 'output' array"
+            );
+            AppError::Internal(anyhow::anyhow!(
+                "OpenAI Responses API returned an unexpected response structure"
+            ))
+        })?;
+
+    // Scan output items for type "message" with content containing "output_text"
+    for item in output {
+        if item.get("type").and_then(|t| t.as_str()) != Some("message") {
+            continue;
+        }
+
+        let content = match item.get("content").and_then(|c| c.as_array()) {
+            Some(c) => c,
+            None => continue,
+        };
+
+        for block in content {
+            if block.get("type").and_then(|t| t.as_str()) == Some("output_text") {
+                let text = block.get("text").and_then(|t| t.as_str()).ok_or_else(|| {
+                    tracing::error!("OpenAI output_text block missing 'text' field");
+                    AppError::Internal(anyhow::anyhow!(
+                        "OpenAI Responses API returned output_text without text"
+                    ))
+                })?;
+
+                return serde_json::from_str(text).map_err(|e| {
+                    tracing::error!("Failed to parse OpenAI JSON output: {}", e);
+                    AppError::Internal(anyhow::anyhow!(
+                        "OpenAI returned invalid JSON in structured output"
+                    ))
+                });
+            }
+        }
+    }
+
+    tracing::error!("No output_text found in OpenAI Responses API response");
+    Err(AppError::Internal(anyhow::anyhow!(
+        "OpenAI Responses API returned no text output"
+    )))
+}
+
+/// Extract the text content from an OpenAI Chat Completions API response.
+///
+/// The response structure is:
+/// ```json
+/// { "choices": [{ "message": { "content": "..." } }] }
+/// ```
+fn extract_chat_completions_content(response: &Value) -> Result<Value, AppError> {
+    let text = response
+        .get("choices")
+        .and_then(|c| c.get(0))
+        .and_then(|c| c.get("message"))
+        .and_then(|m| m.get("content"))
+        .and_then(|t| t.as_str())
+        .ok_or_else(|| {
+            tracing::error!("Unexpected OpenAI Chat Completions response structure");
+            AppError::Internal(anyhow::anyhow!(
+                "OpenAI Chat Completions API returned an unexpected response structure"
+            ))
+        })?;
+
+    serde_json::from_str(text).map_err(|e| {
+        tracing::error!("Failed to parse OpenAI Chat Completions JSON output: {}", e);
+        AppError::Internal(anyhow::anyhow!(
+            "OpenAI returned invalid JSON in structured output"
+        ))
+    })
+}
+
+/// Map OpenAI API error responses to appropriate `AppError` variants.
+///
+/// Handles common error codes without exposing internal details.
+fn map_openai_error(status: u16, body: &Value) -> AppError {
+    let error_message = body
+        .get("error")
+        .and_then(|e| e.get("message"))
+        .and_then(|m| m.as_str())
+        .unwrap_or("Unknown error");
+
+    let error_type = body
+        .get("error")
+        .and_then(|e| e.get("type"))
+        .and_then(|t| t.as_str())
+        .unwrap_or("");
+
+    // Log error details but NEVER the API key
+    tracing::error!(
+        "OpenAI API error (HTTP {}): {} (type: {})",
+        status,
+        error_message,
+        error_type
+    );
+
+    match status {
+        400 => AppError::BadRequest("Invalid request to LLM provider".into()),
+        401 => AppError::BadRequest("Invalid or unauthorized API key".into()),
+        403 => AppError::BadRequest("Access denied by LLM provider".into()),
+        404 => AppError::BadRequest("Model not found or not available".into()),
+        429 => AppError::RateLimited(
+            "LLM provider rate limit exceeded. Please try again later.".into(),
+        ),
+        _ => AppError::Internal(anyhow::anyhow!("LLM provider returned an error")),
+    }
+}
+
+#[cfg(test)]
+mod tests {
+    use super::*;
+
+    // ── Request body tests ──────────────────────────────────────
+
+    #[test]
+    fn openai_provider_metadata() {
+        let provider = OpenAiProvider::new("test-key".into(), reqwest::Client::new());
+        assert_eq!(provider.provider_id(), "openai");
+        assert!(provider.supports_web_search());
+    }
+
+    // ── Responses API response parsing ──────────────────────────
+
+    #[test]
+    fn extract_responses_api_content_valid() {
+        let response = serde_json::json!({
+            "id": "resp_123",
+            "output": [
+                {
+                    "type": "web_search_call",
+                    "id": "ws_1",
+                    "status": "completed"
+                },
+                {
+                    "type": "message",
+                    "content": [
+                        {
+                            "type": "output_text",
+                            "text": "{\"category_0\": [{\"title\": \"Test\", \"url\": \"https://example.com\", \"summary\": \"A test article\"}]}"
+                        }
+                    ]
+                }
+            ]
+        });
+
+        let result = extract_responses_api_content(&response).unwrap();
+        assert!(result["category_0"].is_array());
+        assert_eq!(result["category_0"][0]["title"].as_str().unwrap(), "Test");
+    }
+
+    #[test]
+    fn extract_responses_api_content_multiple_output_items() {
+        // Multiple web_search_call items before the message
+        let response = serde_json::json!({
+            "output": [
+                { "type": "web_search_call", "id": "ws_1", "status": "completed" },
+                { "type": "web_search_call", "id": "ws_2", "status": "completed" },
+                {
+                    "type": "message",
+                    "content": [
+                        {
+                            "type": "output_text",
+                            "text": "{\"category_0\": []}"
+                        }
+                    ]
+                }
+            ]
+        });
+
+        let result = extract_responses_api_content(&response).unwrap();
+        assert!(result["category_0"].is_array());
+    }
+
+    #[test]
+    fn extract_responses_api_content_missing_output() {
+        let response = serde_json::json!({});
+        assert!(extract_responses_api_content(&response).is_err());
+    }
+
+    #[test]
+    fn extract_responses_api_content_no_message_item() {
+        let response = serde_json::json!({
+            "output": [
+                { "type": "web_search_call", "id": "ws_1", "status": "completed" }
+            ]
+        });
+        assert!(extract_responses_api_content(&response).is_err());
+    }
+
+    #[test]
+    fn extract_responses_api_content_invalid_json_text() {
+        let response = serde_json::json!({
+            "output": [
+                {
+                    "type": "message",
+                    "content": [
+                        {
+                            "type": "output_text",
+                            "text": "not valid json"
+                        }
+                    ]
+                }
+            ]
+        });
+        assert!(extract_responses_api_content(&response).is_err());
+    }
+
+    // ── Chat Completions response parsing ───────────────────────
+
+    #[test]
+    fn extract_chat_completions_content_valid() {
+        let response = serde_json::json!({
+            "choices": [{
+                "message": {
+                    "role": "assistant",
+                    "content": "{\"category_0\": [{\"title\": \"Rewritten\", \"url\": \"https://example.com\", \"summary\": \"Rewritten summary\"}]}"
+                },
+                "finish_reason": "stop"
+            }]
+        });
+
+        let result = extract_chat_completions_content(&response).unwrap();
+        assert!(result["category_0"].is_array());
+        assert_eq!(
+            result["category_0"][0]["title"].as_str().unwrap(),
+            "Rewritten"
+        );
+    }
+
+    #[test]
+    fn extract_chat_completions_content_missing_choices() {
+        let response = serde_json::json!({});
+        assert!(extract_chat_completions_content(&response).is_err());
+    }
+
+    #[test]
+    fn extract_chat_completions_content_empty_choices() {
+        let response = serde_json::json!({"choices": []});
+        assert!(extract_chat_completions_content(&response).is_err());
+    }
+
+    #[test]
+    fn extract_chat_completions_content_invalid_json() {
+        let response = serde_json::json!({
+            "choices": [{
+                "message": {
+                    "content": "this is not json"
+                }
+            }]
+        });
+        assert!(extract_chat_completions_content(&response).is_err());
+    }
+
+    // ── Error mapping tests ─────────────────────────────────────
+
+    #[test]
+    fn map_openai_error_invalid_key() {
+        let body = serde_json::json!({
+            "error": {
+                "message": "Incorrect API key provided",
+                "type": "invalid_request_error",
+                "code": "invalid_api_key"
+            }
+        });
+
+        let err = map_openai_error(401, &body);
+        match err {
+            AppError::BadRequest(msg) => assert!(msg.contains("unauthorized")),
+            _ => panic!("Expected BadRequest for 401"),
+        }
+    }
+
+    #[test]
+    fn map_openai_error_rate_limited() {
+        let body = serde_json::json!({
+            "error": {
+                "message": "Rate limit reached for model gpt-4o",
+                "type": "rate_limit_error",
+                "code": "rate_limit_exceeded"
+            }
+        });
+
+        let err = map_openai_error(429, &body);
+        match err {
+            AppError::RateLimited(msg) => assert!(msg.contains("rate limit")),
+            _ => panic!("Expected RateLimited for 429"),
+        }
+    }
+
+    #[test]
+    fn map_openai_error_bad_request() {
+        let body = serde_json::json!({
+            "error": {
+                "message": "Invalid model specified",
+                "type": "invalid_request_error"
+            }
+        });
+
+        let err = map_openai_error(400, &body);
+        match err {
+            AppError::BadRequest(msg) => assert!(msg.contains("Invalid request")),
+            _ => panic!("Expected BadRequest for 400"),
+        }
+    }
+
+    #[test]
+    fn map_openai_error_model_not_found() {
+        let body = serde_json::json!({
+            "error": {
+                "message": "The model does not exist",
+                "type": "invalid_request_error"
+            }
+        });
+
+        let err = map_openai_error(404, &body);
+        match err {
+            AppError::BadRequest(msg) => assert!(msg.contains("not found")),
+            _ => panic!("Expected BadRequest for 404"),
+        }
+    }
+
+    #[test]
+    fn map_openai_error_server_error() {
+        let body = serde_json::json!({
+            "error": {
+                "message": "Internal server error",
+                "type": "server_error"
+            }
+        });
+
+        let err = map_openai_error(500, &body);
+        match err {
+            AppError::Internal(_) => {} // expected
+            _ => panic!("Expected Internal for 500"),
+        }
+    }
+
+    #[test]
+    fn map_openai_error_forbidden() {
+        let body = serde_json::json!({
+            "error": {
+                "message": "Access denied",
+                "type": "forbidden"
+            }
+        });
+
+        let err = map_openai_error(403, &body);
+        match err {
+            AppError::BadRequest(msg) => assert!(msg.contains("Access denied")),
+            _ => panic!("Expected BadRequest for 403"),
+        }
+    }
+
+    #[test]
+    fn map_openai_error_unknown_body() {
+        // Sometimes the body may lack the standard error structure
+        let body = serde_json::json!({});
+        let err = map_openai_error(502, &body);
+        match err {
+            AppError::Internal(_) => {} // expected
+            _ => panic!("Expected Internal for 502"),
+        }
+    }
+}

backend/src/services/synthesis.rs

@@ -299,28 +299,47 @@ async fn run_generation_inner(
     emit_progress(tx, "parsing", "Analyse des resultats...", 40);
     let parsed = parse_llm_output(&raw_results, &settings.categories)?;
 
-    // Step 8: Validate/scrape URLs (parallel, bounded concurrency)
-    emit_progress(tx, "scraping", "Verification des sources...", 45);
-    let scraped = scrape_articles(state, &parsed, settings.max_age_days as i64, tx).await;
-
-    // Step 9: Rate limit check (pass 2)
-    if !state.provider_rate_limiter.check(&provider_name) {
-        return Err(AppError::RateLimited(
-            "Limite de requetes atteinte pour la passe de reecriture. Veuillez reessayer.".into(),
-        ));
-    }
+    // Step 8: Adaptive pipeline — decide whether to scrape+rewrite or use search results directly
+    //
+    // If the provider supports native web search and the search pass produced high-quality
+    // results (>70% valid URLs starting with http), we can skip the expensive scrape+rewrite
+    // pass and use the search results directly.
+    let final_sections = if provider.supports_web_search() && url_quality_sufficient(&parsed) {
+        tracing::info!(
+            provider = provider.provider_id(),
+            "Search pass URL quality sufficient, skipping scrape+rewrite pass"
+        );
+        emit_progress(
+            tx,
+            "finalizing",
+            "Resultats de recherche de bonne qualite, finalisation directe...",
+            85,
+        );
+        build_final_sections(&raw_results, &settings.categories)?
+    } else {
+        // Full pipeline: scrape + rewrite
+        emit_progress(tx, "scraping", "Verification des sources...", 45);
+        let scraped = scrape_articles(state, &parsed, settings.max_age_days as i64, tx).await;
+
+        // Rate limit check (pass 2)
+        if !state.provider_rate_limiter.check(&provider_name) {
+            return Err(AppError::RateLimited(
+                "Limite de requetes atteinte pour la passe de reecriture. Veuillez reessayer."
+                    .into(),
+            ));
+        }
 
-    // Step 10: LLM rewrite pass
-    emit_progress(tx, "rewrite", "Redaction des resumes...", 80);
-    let (rewrite_system, rewrite_user) = prompts::build_rewrite_prompt(&scraped);
+        // LLM rewrite pass
+        emit_progress(tx, "rewrite", "Redaction des resumes...", 80);
+        let (rewrite_system, rewrite_user) = prompts::build_rewrite_prompt(&scraped);
 
-    let final_results = provider
-        .generate_rewrite_pass(&model, &rewrite_system, &rewrite_user, &schema)
-        .await?;
+        let final_results = provider
+            .generate_rewrite_pass(&model, &rewrite_system, &rewrite_user, &schema)
+            .await?;
 
-    // Step 11: Parse final output
-    emit_progress(tx, "finalizing", "Finalisation...", 90);
-    let final_sections = build_final_sections(&final_results, &settings.categories)?;
+        emit_progress(tx, "finalizing", "Finalisation...", 90);
+        build_final_sections(&final_results, &settings.categories)?
+    };
 
     // Step 12: Save synthesis to DB
     emit_progress(tx, "saving", "Sauvegarde de la synthese...", 95);
@@ -575,6 +594,47 @@ fn build_final_sections(
     Ok(sections)
 }
 
+/// Minimum ratio of valid URLs (starting with `http`) required to skip the
+/// scrape+rewrite pass and use the search pass results directly.
+const URL_QUALITY_THRESHOLD: f64 = 0.70;
+
+/// Check whether the search pass produced sufficiently high-quality URLs.
+///
+/// Returns `true` if more than 70% of the URLs across all categories start
+/// with `http` (indicating they are real web URLs rather than hallucinated
+/// or malformed references).
+///
+/// If there are no articles at all, returns `false` to fall through to the
+/// full pipeline.
+fn url_quality_sufficient(parsed: &[(String, Vec<NewsItem>)]) -> bool {
+    let mut total = 0usize;
+    let mut valid = 0usize;
+
+    for (_cat_key, items) in parsed {
+        for item in items {
+            total += 1;
+            if item.url.starts_with("http") {
+                valid += 1;
+            }
+        }
+    }
+
+    if total == 0 {
+        return false;
+    }
+
+    let ratio = valid as f64 / total as f64;
+    tracing::debug!(
+        total_urls = total,
+        valid_urls = valid,
+        ratio = ratio,
+        threshold = URL_QUALITY_THRESHOLD,
+        "URL quality check"
+    );
+
+    ratio >= URL_QUALITY_THRESHOLD
+}
+
 /// Sanitize error messages to prevent leaking sensitive information.
 ///
 /// Removes potential API keys, internal paths, and other sensitive data.
@@ -584,6 +644,7 @@ fn sanitize_error_message(msg: &str) -> String {
         || msg.contains("api_key")
         || msg.contains("AIza")
         || msg.contains("sk-")
+        || msg.contains("sk-ant-")
         || msg.contains("PERMISSION_DENIED")
     {
         return "Erreur d'authentification avec le fournisseur IA. Verifiez votre cle API.".into();
@@ -859,4 +920,146 @@ mod tests {
         let sanitized = sanitize_error_message(msg);
         assert_eq!(sanitized, msg);
     }
+
+    // ── url_quality_sufficient tests ────────────────────────────
+
+    #[test]
+    fn url_quality_all_valid_urls() {
+        let parsed = vec![
+            (
+                "category_0".into(),
+                vec![
+                    NewsItem {
+                        title: "A".into(),
+                        url: "https://example.com/a".into(),
+                        summary: "Sum A".into(),
+                    },
+                    NewsItem {
+                        title: "B".into(),
+                        url: "https://example.com/b".into(),
+                        summary: "Sum B".into(),
+                    },
+                ],
+            ),
+            (
+                "category_1".into(),
+                vec![NewsItem {
+                    title: "C".into(),
+                    url: "http://example.org/c".into(),
+                    summary: "Sum C".into(),
+                }],
+            ),
+        ];
+
+        // 3/3 = 100% valid -> true
+        assert!(url_quality_sufficient(&parsed));
+    }
+
+    #[test]
+    fn url_quality_above_threshold() {
+        // 8 valid out of 10 = 80% > 70%
+        let mut items = Vec::new();
+        for i in 0..8 {
+            items.push(NewsItem {
+                title: format!("Art {}", i),
+                url: format!("https://example.com/{}", i),
+                summary: "Sum".into(),
+            });
+        }
+        for i in 8..10 {
+            items.push(NewsItem {
+                title: format!("Art {}", i),
+                url: format!("bad-url-{}", i),
+                summary: "Sum".into(),
+            });
+        }
+
+        let parsed = vec![("category_0".into(), items)];
+        assert!(url_quality_sufficient(&parsed));
+    }
+
+    #[test]
+    fn url_quality_exactly_at_threshold() {
+        // 7 valid out of 10 = 70% >= 70%
+        let mut items = Vec::new();
+        for i in 0..7 {
+            items.push(NewsItem {
+                title: format!("Art {}", i),
+                url: format!("https://example.com/{}", i),
+                summary: "Sum".into(),
+            });
+        }
+        for i in 7..10 {
+            items.push(NewsItem {
+                title: format!("Art {}", i),
+                url: format!("bad-url-{}", i),
+                summary: "Sum".into(),
+            });
+        }
+
+        let parsed = vec![("category_0".into(), items)];
+        assert!(url_quality_sufficient(&parsed));
+    }
+
+    #[test]
+    fn url_quality_below_threshold() {
+        // 6 valid out of 10 = 60% < 70%
+        let mut items = Vec::new();
+        for i in 0..6 {
+            items.push(NewsItem {
+                title: format!("Art {}", i),
+                url: format!("https://example.com/{}", i),
+                summary: "Sum".into(),
+            });
+        }
+        for i in 6..10 {
+            items.push(NewsItem {
+                title: format!("Art {}", i),
+                url: format!("no-protocol-{}", i),
+                summary: "Sum".into(),
+            });
+        }
+
+        let parsed = vec![("category_0".into(), items)];
+        assert!(!url_quality_sufficient(&parsed));
+    }
+
+    #[test]
+    fn url_quality_all_invalid_urls() {
+        let parsed = vec![(
+            "category_0".into(),
+            vec![
+                NewsItem {
+                    title: "A".into(),
+                    url: "not-a-url".into(),
+                    summary: "Sum".into(),
+                },
+                NewsItem {
+                    title: "B".into(),
+                    url: "also-not-a-url".into(),
+                    summary: "Sum".into(),
+                },
+            ],
+        )];
+
+        // 0/2 = 0% -> false
+        assert!(!url_quality_sufficient(&parsed));
+    }
+
+    #[test]
+    fn url_quality_empty_articles() {
+        let parsed: Vec<(String, Vec<NewsItem>)> = vec![
+            ("category_0".into(), vec![]),
+            ("category_1".into(), vec![]),
+        ];
+
+        // No articles -> false (fall through to full pipeline)
+        assert!(!url_quality_sufficient(&parsed));
+    }
+
+    #[test]
+    fn url_quality_empty_categories() {
+        let parsed: Vec<(String, Vec<NewsItem>)> = vec![];
+        assert!(!url_quality_sufficient(&parsed));
+    }
 }

frontend/src/__tests__/provider-info.test.ts

@@ -0,0 +1,72 @@
+import { describe, it, expect } from 'vitest';
+import {
+  providerSupportsWebSearch,
+  getProviderInfoKey,
+  getWebSearchBadgeKey,
+} from '~/utils/providers';
+
+describe('Provider info utilities', () => {
+  describe('providerSupportsWebSearch', () => {
+    it('should return true for gemini', () => {
+      expect(providerSupportsWebSearch('gemini')).toBe(true);
+    });
+
+    it('should return true for openai', () => {
+      expect(providerSupportsWebSearch('openai')).toBe(true);
+    });
+
+    it('should return true for anthropic', () => {
+      expect(providerSupportsWebSearch('anthropic')).toBe(true);
+    });
+
+    it('should return false for unknown provider', () => {
+      expect(providerSupportsWebSearch('unknown')).toBe(false);
+    });
+
+    it('should return false for empty string', () => {
+      expect(providerSupportsWebSearch('')).toBe(false);
+    });
+  });
+
+  describe('getProviderInfoKey', () => {
+    it('should return gemini-specific key for gemini', () => {
+      expect(getProviderInfoKey('gemini')).toBe('settings.provider.geminiInfo');
+    });
+
+    it('should return openai-specific key for openai', () => {
+      expect(getProviderInfoKey('openai')).toBe('settings.provider.openaiInfo');
+    });
+
+    it('should return anthropic-specific key for anthropic', () => {
+      expect(getProviderInfoKey('anthropic')).toBe(
+        'settings.provider.anthropicInfo',
+      );
+    });
+
+    it('should return noWebSearchInfo key for unknown provider', () => {
+      expect(getProviderInfoKey('unknown')).toBe(
+        'settings.provider.noWebSearchInfo',
+      );
+    });
+  });
+
+  describe('getWebSearchBadgeKey', () => {
+    it('should return webSearchInfo for providers with web search', () => {
+      expect(getWebSearchBadgeKey('gemini')).toBe(
+        'settings.provider.webSearchInfo',
+      );
+      expect(getWebSearchBadgeKey('openai')).toBe(
+        'settings.provider.webSearchInfo',
+      );
+      expect(getWebSearchBadgeKey('anthropic')).toBe(
+        'settings.provider.webSearchInfo',
+      );
+    });
+
+    it('should return noWebSearchInfo for providers without web search', () => {
+      expect(getWebSearchBadgeKey('unknown')).toBe(
+        'settings.provider.noWebSearchInfo',
+      );
+    });
+  });
+});

frontend/src/i18n/fr.ts

@@ -79,6 +79,10 @@ const fr = {
   'generate.canLeave': 'Vous pouvez quitter cette page. La generation continuera en arriere-plan.',
   'generate.retry': 'Reessayer',
   'generate.alreadyInProgress': 'Une generation est deja en cours.',
+  'generate.provider': 'Fournisseur',
+  'generate.model': 'Modele',
+  'generate.noWebSearchWarning':
+    'Le fournisseur selectionne ne supporte pas la recherche web. Les resultats seront bases uniquement sur les connaissances du modele.',
 
   // Synthesis Detail
   'synthesis.title': 'Synthese de la Semaine {week}',
@@ -196,6 +200,17 @@ const fr = {
   'settings.modelPlaceholder': 'Selectionnez un modele',
   'settings.providerUnavailable':
     "Le fournisseur que vous utilisiez n'est plus disponible. Veuillez en selectionner un autre.",
+  'settings.provider.webSearchInfo':
+    'La recherche web en temps reel est disponible avec ce fournisseur.',
+  'settings.provider.noWebSearchInfo':
+    'Les resultats seront bases sur les connaissances du modele, sans recherche web.',
+  'settings.provider.geminiInfo':
+    'Google Gemini avec recherche Google integree.',
+  'settings.provider.openaiInfo': 'OpenAI avec recherche web integree.',
+  'settings.provider.anthropicInfo':
+    'Anthropic Claude avec recherche web integree.',
+  'settings.provider.webSearchBadge': 'Recherche web',
+  'settings.provider.noWebSearchBadge': 'Sans recherche web',
 
   // Admin - Navigation
   'admin.title': 'Administration',

frontend/src/pages/GenerateSynthesis.tsx

@@ -7,13 +7,15 @@ import {
   For,
 } from 'solid-js';
 import { useNavigate } from '@solidjs/router';
-import { AlertCircle, CheckCircle, Circle, Loader2 } from 'lucide-solid';
+import { AlertCircle, AlertTriangle, CheckCircle, Circle, Loader2 } from 'lucide-solid';
 import { useI18n } from '~/i18n';
 import { synthesesApi } from '~/api/syntheses';
 import { settingsApi } from '~/api/settings';
+import { configApi } from '~/api/config';
 import { isApiError, DEFAULT_SETTINGS } from '~/types';
-import type { UserSettings, ProgressEvent } from '~/types';
+import type { UserSettings, ProviderConfig, ProgressEvent } from '~/types';
 import { createSSEConnection, type SSEConnection, type SSEStatus } from '~/utils/sse';
+import { providerSupportsWebSearch } from '~/utils/providers';
 import LoadingSpinner from '~/components/ui/LoadingSpinner';
 
 interface StepInfo {
@@ -33,6 +35,7 @@ const GenerateSynthesis: Component = () => {
   const navigate = useNavigate();
 
   const [settings, setSettings] = createSignal<UserSettings>({ ...DEFAULT_SETTINGS });
+  const [providers, setProviders] = createSignal<ProviderConfig[]>([]);
   const [loadingSettings, setLoadingSettings] = createSignal(true);
   const [generating, setGenerating] = createSignal(false);
   const [error, setError] = createSignal<string | null>(null);
@@ -41,17 +44,41 @@ const GenerateSynthesis: Component = () => {
 
   onMount(async () => {
     try {
-      const data = await settingsApi.get();
-      setSettings(data);
-    } catch (err) {
-      if (isApiError(err) && err.status !== 404) {
-        // Non-404 means a real error; 404 means no settings yet, use defaults
-      }
+      const [data, providerList] = await Promise.all([
+        settingsApi.get().catch((err) => {
+          if (isApiError(err) && err.status === 404) return null;
+          throw err;
+        }),
+        configApi.listProviders().catch(() => [] as ProviderConfig[]),
+      ]);
+      if (data) setSettings(data);
+      setProviders(providerList);
+    } catch {
+      // Non-404 settings error — use defaults silently
     } finally {
       setLoadingSettings(false);
     }
   });
 
+  const selectedProvider = (): ProviderConfig | undefined => {
+    return providers().find((p) => p.provider_name === settings().ai_provider);
+  };
+
+  const providerDisplayName = (): string => {
+    return selectedProvider()?.display_name ?? settings().ai_provider;
+  };
+
+  const modelDisplayName = (): string => {
+    const provider = selectedProvider();
+    if (!provider) return settings().ai_model;
+    const model = provider.models.find((m) => m.model_id === settings().ai_model);
+    return model?.display_name ?? settings().ai_model;
+  };
+
+  const hasWebSearch = (): boolean => {
+    return providerSupportsWebSearch(settings().ai_provider);
+  };
+
   const currentStep = (): string | null => {
     const conn = sseConnection();
     if (!conn) return null;
@@ -207,11 +234,36 @@ const GenerateSynthesis: Component = () => {
                 days: String(settings().max_age_days),
                 theme: settings().theme,
               })} />
+              <Show when={settings().ai_provider}>
+                <p class="mt-2 text-sm text-gray-500">
+                  <span class="font-medium text-gray-600">{t('generate.provider')}</span>{' '}
+                  {providerDisplayName()}
+                  {' · '}
+                  <span class="font-medium text-gray-600">{t('generate.model')}</span>{' '}
+                  {modelDisplayName()}
+                </p>
+              </Show>
               <p class="mt-2 text-xs text-gray-400">
                 {t('generate.note')}
               </p>
             </div>
 
+            {/* No web search warning */}
+            <Show when={settings().ai_provider && !hasWebSearch()}>
+              <div class="mt-4 bg-yellow-50 border border-yellow-200 rounded-md p-4">
+                <div class="flex">
+                  <div class="flex-shrink-0">
+                    <AlertTriangle class="h-5 w-5 text-yellow-600" aria-hidden="true" />
+                  </div>
+                  <div class="ml-3">
+                    <p class="text-sm text-yellow-800">
+                      {t('generate.noWebSearchWarning')}
+                    </p>
+                  </div>
+                </div>
+              </div>
+            </Show>
+
             {/* Error display */}
             <Show when={error()}>
               <div class="mt-4 bg-red-50 border-l-4 border-red-400 p-4">

frontend/src/pages/Settings.tsx

@@ -7,7 +7,7 @@ import {
   For,
   createEffect,
 } from 'solid-js';
-import { Settings as SettingsIcon, Save, Plus, Trash2 } from 'lucide-solid';
+import { Settings as SettingsIcon, Save, Plus, Trash2, Info } from 'lucide-solid';
 import { settingsApi } from '~/api/settings';
 import { configApi } from '~/api/config';
 import { useI18n } from '~/i18n';
@@ -15,6 +15,7 @@ import { DEFAULT_SETTINGS, isApiError } from '~/types';
 import type { UserSettings, ProviderConfig } from '~/types';
 import LoadingSpinner from '~/components/ui/LoadingSpinner';
 import ApiKeyManager from '~/components/ApiKeyManager';
+import { getProviderInfoKey, providerSupportsWebSearch } from '~/utils/providers';
 
 const Settings: Component = () => {
   const { t } = useI18n();
@@ -380,6 +381,32 @@ const Settings: Component = () => {
                 {t('settings.modelHelp')}
               </p>
             </div>
+
+            {/* Provider info text + web search badge */}
+            <Show when={selectedProvider()}>
+              {(provider) => (
+                <div class="mt-3 flex items-start gap-2">
+                  <Info class="h-4 w-4 text-gray-400 mt-0.5 flex-shrink-0" />
+                  <div class="space-y-1">
+                    <p class="text-sm text-gray-500">
+                      {t(getProviderInfoKey(provider().provider_name))}
+                    </p>
+                    <Show
+                      when={providerSupportsWebSearch(provider().provider_name)}
+                      fallback={
+                        <span class="inline-flex items-center px-2 py-0.5 rounded-full text-xs font-medium bg-gray-100 text-gray-600">
+                          {t('settings.provider.noWebSearchBadge')}
+                        </span>
+                      }
+                    >
+                      <span class="inline-flex items-center px-2 py-0.5 rounded-full text-xs font-medium bg-green-100 text-green-800">
+                        {t('settings.provider.webSearchBadge')}
+                      </span>
+                    </Show>
+                  </div>
+                </div>
+              )}
+            </Show>
           </Show>
 
           {/* Categories */}

frontend/src/utils/providers.ts

@@ -0,0 +1,46 @@
+import type { TranslationKey } from '~/i18n/fr';
+
+/**
+ * Known provider names that support native web search grounding.
+ *
+ * All three currently supported providers (Gemini, OpenAI, Anthropic)
+ * support web search. This set can be extended or modified if a new
+ * provider without web search support is added in the future.
+ */
+const WEB_SEARCH_PROVIDERS = new Set(['gemini', 'openai', 'anthropic']);
+
+/**
+ * Returns whether a given provider supports native web search.
+ */
+export function providerSupportsWebSearch(providerName: string): boolean {
+  return WEB_SEARCH_PROVIDERS.has(providerName);
+}
+
+/**
+ * Returns the i18n key for provider-specific info text.
+ * Falls back to the generic web search info key if the provider
+ * is not one of the known providers.
+ */
+export function getProviderInfoKey(providerName: string): TranslationKey {
+  switch (providerName) {
+    case 'gemini':
+      return 'settings.provider.geminiInfo';
+    case 'openai':
+      return 'settings.provider.openaiInfo';
+    case 'anthropic':
+      return 'settings.provider.anthropicInfo';
+    default:
+      return providerSupportsWebSearch(providerName)
+        ? 'settings.provider.webSearchInfo'
+        : 'settings.provider.noWebSearchInfo';
+  }
+}
+
+/**
+ * Returns the i18n key for the web search support badge.
+ */
+export function getWebSearchBadgeKey(providerName: string): TranslationKey {
+  return providerSupportsWebSearch(providerName)
+    ? 'settings.provider.webSearchInfo'
+    : 'settings.provider.noWebSearchInfo';
+}