server: (router) add model management API

common/download.cpp

@@ -997,3 +997,87 @@ std::vector<common_cached_model_info> common_list_cached_models() {
 
     return result;
 }
+
+bool common_download_remove(const std::string & hf_repo_with_tag) {
+    namespace fs = std::filesystem;
+
+    auto [repo_id, tag] = common_download_split_repo_tag(hf_repo_with_tag);
+
+    if (tag.empty()) {
+        return hf_cache::remove_cached_repo(repo_id);
+    }
+
+    std::string tag_upper = tag;
+    for (char & c : tag_upper) {
+        c = (char) std::toupper((unsigned char) c);
+    }
+
+    auto files = hf_cache::get_cached_files(repo_id);
+    if (files.empty()) {
+        return false;
+    }
+
+    // collect snapshot entries whose tag matches
+    std::vector<fs::path> to_remove;
+    for (const auto & f : files) {
+        auto split = get_gguf_split_info(f.path);
+        if (split.tag == tag_upper) {
+            to_remove.emplace_back(f.local_path);
+        }
+    }
+
+    if (to_remove.empty()) {
+        return false;
+    }
+
+    // resolve blob paths from symlinks before deleting snapshot entries
+    std::vector<fs::path> blobs_to_check;
+    for (const auto & p : to_remove) {
+        std::error_code ec;
+        if (fs::is_symlink(p, ec)) {
+            auto target = fs::read_symlink(p, ec);
+            if (!ec) {
+                blobs_to_check.push_back((p.parent_path() / target).lexically_normal());
+            }
+        }
+    }
+
+    // remove snapshot entries
+    for (const auto & p : to_remove) {
+        std::error_code ec;
+        fs::remove(p, ec);
+        if (ec) {
+            LOG_WRN("%s: failed to remove %s: %s\n", __func__, p.string().c_str(), ec.message().c_str());
+        }
+    }
+
+    if (blobs_to_check.empty()) {
+        return true;
+    }
+
+    // collect blobs still referenced by remaining snapshot entries
+    std::unordered_set<std::string> still_referenced;
+    for (const auto & f : hf_cache::get_cached_files(repo_id)) {
+        fs::path p(f.local_path);
+        std::error_code ec;
+        if (fs::is_symlink(p, ec)) {
+            auto target = fs::read_symlink(p, ec);
+            if (!ec) {
+                still_referenced.insert((p.parent_path() / target).lexically_normal().string());
+            }
+        }
+    }
+
+    // remove orphaned blobs
+    for (const auto & blob : blobs_to_check) {
+        if (still_referenced.find(blob.string()) == still_referenced.end()) {
+            std::error_code ec;
+            fs::remove(blob, ec);
+            if (ec) {
+                LOG_WRN("%s: failed to remove blob %s: %s\n", __func__, blob.string().c_str(), ec.message().c_str());
+            }
+        }
+    }
+
+    return true;
+}

common/download.h

@@ -115,3 +115,10 @@ int common_download_file_single(const std::string & url,
 // resolve and download model from Docker registry
 // return local path to downloaded model file
 std::string common_docker_resolve_model(const std::string & docker);
+
+// Remove a cached model from disk
+// input format: "user/model" or "user/model:tag"
+// - if tag is omitted, removes the entire repo cache directory
+// - if tag is present, removes only files matching that tag (and orphaned blobs)
+// returns true if anything was removed
+bool common_download_remove(const std::string & hf_repo_with_tag);

common/hf-cache.cpp

@@ -495,4 +495,19 @@ std::string finalize_file(const hf_file & file) {
     return file.final_path;
 }
 
+bool remove_cached_repo(const std::string & repo_id) {
+    if (!is_valid_repo_id(repo_id)) {
+        LOG_WRN("%s: invalid repository: %s\n", __func__, repo_id.c_str());
+        return false;
+    }
+    fs::path repo_path = get_repo_path(repo_id);
+    std::error_code ec;
+    auto removed = fs::remove_all(repo_path, ec);
+    if (ec) {
+        LOG_ERR("%s: failed to remove repo cache %s: %s\n", __func__, repo_path.string().c_str(), ec.message().c_str());
+        return false;
+    }
+    return removed > 0;
+}
+
 } // namespace hf_cache

common/hf-cache.h

@@ -29,4 +29,7 @@ hf_files get_cached_files(const std::string & repo_id = {});
 // Create snapshot path (link or move/copy) and return it
 std::string finalize_file(const hf_file & file);
 
+// Remove the entire cached directory for a repo, returns true if removed
+bool remove_cached_repo(const std::string & repo_id);
+
 } // namespace hf_cache

tools/server/README-dev.md

@@ -180,6 +180,24 @@ That requires `JSON.stringify` when formatted to message content:
 }
 ```
 
+### Model management API (router mode)
+
+Model management API was added via PR [#23976](https://github.com/ggml-org/llama.cpp/pull/23976)
+
+The main goal of this API is to allow downloading models and/or removing models from the web UI. It relies on the model cache infrastructure under the hood to manage the list of models dynamically.
+
+Instead of building everything from the ground up (like what most AI agents will do when you ask them to implement a similar feature), we built on top of existing, already well-engineered components inside the codebase:
+- Model cache infrastructure as mentioned above (`common/download.h`)
+- Server response queue (`server-queue.h`). We use this feature to broadcast events to SSE clients.
+- Server router thread management (`server-models.h`). We re-use the same thread model that is used for managing subprocess life cycle, except that we don't create a new subprocess, but launch the download right inside the thread.
+
+The flow for downloading a new model:
+- POST request comes in --> `post_router_models` --> validation
+- `server_models::download()` is called
+    - Sets up a new thread `inst.th` and runs the download inside
+- If a stop request comes in, set `stop_download` to `true`
+- Otherwise, upon completion, we call `load_models()` to refresh the list of models
+
 ### Notable Related PRs
 
 - Initial server implementation: https://github.com/ggml-org/llama.cpp/pull/1443

tools/server/README.md

@@ -1778,6 +1778,20 @@ The `status` object can be:
 }
 ```
 
+Note: for "downloading" state, there can be multiple files be downloading in parallel
+
+```json
+"status": {
+  "value": "downloading",
+  "progress": {
+    "https://...model.gguf": {
+      "done": 195963406,
+      "total": 219307424
+    }
+  }
+}
+```
+
 ### POST `/models/load`: Load a model
 
 Load a model
@@ -1820,6 +1834,107 @@ Response:
 }
 ```
 
+### GET `/models/sse`: Real-time events
+
+Example events:
+
+```js
+{
+  "model": "...",
+  "event": "model_status",
+  "data": {
+    "status": "loading"
+  }
+}
+
+{
+  "model": "...",
+  "event": "download_progress",
+  "data": {
+    // note: there can be multiple files being downloaded in parallel
+    "https://...model.gguf": {
+      "done": 195963406,
+      "total": 219307424
+    }
+  }
+}
+
+{
+  "model": "...",
+  "event": "download_finished",
+  "data": {
+    "status": "loading"
+  }
+}
+
+{
+  "model": "...",
+  "event": "model_remove"
+}
+
+// special event: reload of the list of all models
+{
+  "model": "*",
+  "event": "models_reload"
+}
+```
+
+### POST `/models`: Download new model
+
+Trigger a new download (non-blocking), the progress can be tracked via SSE endpoint `/models/sse`
+
+To cancel model downloading, send an event to `/models/unload`
+
+Download procedure:
+- Send POST request to `/models`
+- Subscribe to `/models/sse` for updates
+- On downloading completed, you will receive either `download_finished` or `download_failed` event
+- Call GET `/models` to trigger model list update. If the download success, you should see the new model in the list
+
+Payload:
+
+```json
+{
+  "model": "ggml-org/gemma-3-4b-it-GGUF:Q4_K_M",
+}
+```
+
+Response (download is started in the background):
+
+```json
+{
+  "success": true
+}
+```
+
+Response (error, cannot start the download):
+
+```json
+{
+  "error": {
+    "code": 400,
+    "message": "model validation failed, unable to download",
+    "type": "invalid_request_error"
+  }
+}
+```
+
+### DELETE `/models`: Delete a model from cache
+
+IMPORTANT: only model stored in cache can be deleted. You cannot delete models in a preset.
+
+Model name must be passed via query param: `?model={name}`
+
+If delete success, it will send an SSE event of type `model_remove`
+
+Response:
+
+```json
+{
+  "success": true
+}
+```
+
 ## API errors
 
 `llama-server` returns errors in the same format as OAI: https://github.com/openai/openai-openapi

tools/server/server-http.cpp

@@ -588,6 +588,23 @@ void server_http_context::post(const std::string & path, const server_http_conte
     });
 }
 
+void server_http_context::del(const std::string & path, const server_http_context::handler_t & handler) const {
+    handlers.emplace(path, handler);
+    pimpl->srv->Delete(path_prefix + path, [handler](const httplib::Request & req, httplib::Response & res) {
+        server_http_req_ptr request = std::make_unique<server_http_req>(server_http_req{
+            get_params(req),
+            get_headers(req),
+            req.path,
+            build_query_string(req),
+            req.body,
+            {},
+            req.is_connection_closed
+        });
+        server_http_res_ptr response = handler(*request);
+        process_handler_response(std::move(request), response, res);
+    });
+}
+
 //
 // Vertex AI Prediction protocol (AIP_PREDICT_ROUTE)
 // https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements

tools/server/server-http.h

@@ -86,6 +86,7 @@ struct server_http_context {
 
     void get(const std::string & path, const handler_t & handler) const;
     void post(const std::string & path, const handler_t & handler) const;
+    void del(const std::string & path, const handler_t & handler) const;
 
     // Register the Google Cloud Platform (Vertex AI) compat (AIP_PREDICT_ROUTE env var, or /predict)
     // Must be called AFTER all other API routes are registered