Refactor LLM API key handling for Ollama

The LLM client now conditionally adds the `Authorization` header only
when an API key is provided. The `llm_configured` check is updated to
reflect that an API key is not strictly required for Ollama-style
endpoints. A new integration test verifies the functionality against an
Ollama-compatible endpoint without an API key.

server/src/analyze/llm.rs

@@ -74,6 +74,9 @@ struct ResponseMessage {
 
 /// Single-shot chat completion against an OpenAI-compatible endpoint.
 /// The `api_key` in `settings` is used as a Bearer token; do not log it.
+/// An empty `api_key` is treated as "no auth" — the `Authorization` header
+/// is omitted entirely, which is the correct mode for Ollama's
+/// OpenAI-compatible endpoint (some gateways object to a blank Bearer).
 pub async fn chat_once(
     client: &reqwest::Client,
     settings: &LlmSettings<'_>,
@@ -94,14 +97,11 @@ pub async fn chat_once(
         ],
     };
 
-    let response = client
+    let mut req = client.post(&url).timeout(timeout).json(&body);
-        .post(&url)
+    if !settings.api_key.is_empty() {
-        .bearer_auth(settings.api_key)
+        req = req.bearer_auth(settings.api_key);
-        .timeout(timeout)
+    }
-        .json(&body)
+    let response = req.send().await.map_err(LlmError::Http)?;
-        .send()
-        .await
-        .map_err(LlmError::Http)?;
 
     let status = response.status();
     if !status.is_success() {

server/src/config.rs

@@ -105,11 +105,14 @@ impl Config {
         }
     }
 
-    /// True iff all three required fields for the external analysis LLM are
+    /// True iff the external analysis LLM is configured. `llm_api_key` is
-    /// non-empty. Used to gate the "Fall abschließen" UI and handler — if
+    /// intentionally **not** required — Ollama's OpenAI-compatible endpoint
-    /// no LLM is configured, the close action must not be reachable.
+    /// at `/v1/chat/completions` accepts unauthenticated requests and is a
+    /// supported deployment target. For hosted providers (Ionos, OpenAI) the
+    /// key remains necessary in practice; the provider will reject with 401
+    /// if it is missing, which is correct feedback.
     pub fn llm_configured(&self) -> bool {
-        !self.llm_url.is_empty() && !self.llm_api_key.is_empty() && !self.llm_model.is_empty()
+        !self.llm_url.is_empty() && !self.llm_model.is_empty()
     }
 
     /// Sane defaults for integration tests. Not a `Default` impl on purpose:

server/tests/analyze_test.rs

@@ -797,3 +797,91 @@ async fn bulk_reset_processes_multiple_cases_admin_only() {
     assert!(dir_c.join("document.md").exists());
     assert!(dir_c.join("2026-04-15T11-00-00Z.transcript.txt").exists());
 }
+
+// ---------------------------------------------------------------------
+// Ollama-style (no-auth) provider
+// ---------------------------------------------------------------------
+
+/// Proves the analysis pipeline works against an OpenAI-compatible endpoint
+/// that expects **no** Authorization header — i.e. Ollama's `/v1` surface.
+/// Guard mock (registered first, so wiremock picks it up for any request that
+/// actually carries the header) must stay at `.expect(0)`; happy mock takes
+/// all no-auth calls. This catches any future regression where the client
+/// accidentally sends `Authorization: Bearer `.
+#[tokio::test]
+async fn analyze_works_against_ollama_style_endpoint_without_api_key() {
+    let tmp = unique_tmp("ollama");
+    let case_dir = tmp.join("dr_a/22222222-2222-2222-2222-222222222222");
+    std::fs::create_dir_all(&case_dir).unwrap();
+
+    let input = json!({
+        "last_recording_mtime": "2026-04-16T10:00:00Z",
+        "recordings": [
+            { "recorded_at": "2026-04-16T10:00:00Z", "text": "Test." }
+        ]
+    });
+    std::fs::write(
+        case_dir.join("analysis_input.json"),
+        serde_json::to_vec_pretty(&input).unwrap(),
+    )
+    .unwrap();
+
+    let mock = MockServer::start().await;
+    Mock::given(method("POST"))
+        .and(path("/v1/chat/completions"))
+        .and(wiremock::matchers::header_exists("authorization"))
+        .respond_with(ResponseTemplate::new(500))
+        .expect(0)
+        .mount(&mock)
+        .await;
+    Mock::given(method("POST"))
+        .and(path("/v1/chat/completions"))
+        .respond_with(ResponseTemplate::new(200).set_body_json(json!({
+            "choices": [{ "message": { "content": "# Doc via Ollama" } }]
+        })))
+        .expect(1)
+        .mount(&mock)
+        .await;
+
+    // Ollama-style config: explicitly empty api_key. Inline because
+    // `config_with_llm` hard-codes "test-key" for hosted-provider tests.
+    let users = vec![make_user("dr_a")];
+    let api_keys: HashMap<String, String> = users
+        .iter()
+        .map(|u| (u.api_key.clone(), u.slug.clone()))
+        .collect();
+    let config = Arc::new(Config {
+        data_path: tmp.clone(),
+        users,
+        api_keys,
+        llm_url: mock.uri(),
+        llm_api_key: String::new(),
+        llm_model: "llama3.3:70b".into(),
+        ..Config::test_default()
+    });
+
+    let (tx, rx) = analyze::channel();
+    let client = reqwest::Client::new();
+    let busy = std::sync::Arc::new(std::sync::atomic::AtomicBool::new(false));
+    let handle = tokio::spawn(analyze::worker::run(rx, config, client, busy));
+
+    tx.send(analyze::AnalyzeJob {
+        case_dir: case_dir.clone(),
+    })
+    .unwrap();
+
+    let document_path = case_dir.join("document.md");
+    let deadline = std::time::Instant::now() + Duration::from_secs(5);
+    while !document_path.exists() {
+        if std::time::Instant::now() > deadline {
+            panic!("document.md not written within 5s");
+        }
+        tokio::time::sleep(Duration::from_millis(20)).await;
+    }
+
+    let content = std::fs::read_to_string(&document_path).unwrap();
+    assert!(content.contains("Ollama"), "unexpected content: {content}");
+
+    drop(tx);
+    let _ = tokio::time::timeout(Duration::from_secs(2), handle).await;
+}

whisper/docker-compose.yml.cpu

@@ -0,0 +1,13 @@
+services:
+  doctate-whisper:
+    image: doctate-whisper:latest
+    container_name: doctate-whisper
+    environment:
+      - WHISPER_MODEL=large-v3
+      - WHISPER_DEVICE=cpu
+      - WHISPER_COMPUTE_TYPE=int8
+    volumes:
+      - /opt/stacks/doctate-whisper/models:/models
+    ports:
+      - "9001:9001"
+    restart: unless-stopped