server : host-memory prompt caching (#16391)
* minor : code style * server : fix prompt similarity calculation * server : initial host-memory prompt caching * cont * server : refactor * cont * cont : make the server task of the slot const * cont : minor [no ci] * server : cache prompts and checkpoints only for completion tasks * server : improve prompt caching logic * cont : fix check for number of cached prompts [no ci] * server : improve caching logic, add -cram CLI arg * server : print prompt mismatch info * cont : better naming [no ci] * server : improve prompt cache loading logic * server : add option to debug the slot contents (#16482) * server : add option to debug the slot contents * Update tools/server/server.cpp --------- Co-authored-by: Xuan-Son Nguyen <son@huggingface.co> * server : add option to disable prompt cache --------- Co-authored-by: Xuan-Son Nguyen <son@huggingface.co>
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@@ -1935,6 +1935,14 @@ common_params_context common_params_parser_init(common_params & params, llama_ex
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params.n_ctx_checkpoints = value;
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}
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).set_env("LLAMA_ARG_CTX_CHECKPOINTS").set_examples({LLAMA_EXAMPLE_SERVER}));
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add_opt(common_arg(
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{"--cache-ram", "-cram"}, "N",
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string_format("set the maximum cache size in MiB (default: %d, -1 - no limit, 0 - disable)\n"
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"[(more info)](https://github.com/ggml-org/llama.cpp/pull/16391)", params.cache_ram_mib),
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[](common_params & params, int value) {
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params.cache_ram_mib = value;
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}
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).set_env("LLAMA_ARG_CACHE_RAM").set_examples({LLAMA_EXAMPLE_SERVER}));
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add_opt(common_arg(
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{"--kv-unified", "-kvu"},
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string_format("use single unified KV buffer for the KV cache of all sequences (default: %s)\n"
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@@ -33,8 +33,8 @@ struct common_chat_msg_content_part {
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struct common_chat_msg {
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std::string role;
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std::string content;
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std::vector<common_chat_msg_content_part> content_parts = {};
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std::vector<common_chat_tool_call> tool_calls = {};
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std::vector<common_chat_msg_content_part> content_parts;
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std::vector<common_chat_tool_call> tool_calls;
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std::string reasoning_content;
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std::string tool_name;
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std::string tool_call_id;
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@@ -44,7 +44,7 @@ struct common_chat_msg {
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bool empty() const {
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return content.empty() && content_parts.empty() && tool_calls.empty() && reasoning_content.empty() && tool_name.empty() && tool_call_id.empty();
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}
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void ensure_tool_call_ids_set(std::vector<std::string> & ids_cache, const std::function<std::string()> & gen_tool_call_id) {
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void set_tool_call_ids(std::vector<std::string> & ids_cache, const std::function<std::string()> & gen_tool_call_id) {
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for (auto i = 0u; i < tool_calls.size(); i++) {
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if (ids_cache.size() <= i) {
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auto id = tool_calls[i].id;
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@@ -378,7 +378,7 @@ struct common_params {
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bool simple_io = false; // improves compatibility with subprocesses and limited consoles
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bool cont_batching = true; // insert new sequences for decoding on-the-fly
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bool no_perf = false; // disable performance metrics
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bool ctx_shift = false; // context shift on infinite text generation
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bool ctx_shift = false; // context shift on infinite text generation
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bool swa_full = false; // use full-size SWA cache (https://github.com/ggml-org/llama.cpp/pull/13194#issuecomment-2868343055)
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bool kv_unified = false; // enable unified KV cache
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@@ -425,7 +425,8 @@ struct common_params {
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int32_t timeout_write = timeout_read; // http write timeout in seconds
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int32_t n_threads_http = -1; // number of threads to process HTTP requests (TODO: support threadpool)
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int32_t n_cache_reuse = 0; // min chunk size to reuse from the cache via KV shifting
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int32_t n_ctx_checkpoints = 3; // max number of context checkpoints per slot
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int32_t n_ctx_checkpoints = 8; // max number of context checkpoints per slot
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int32_t cache_ram_mib = 8192; // 0 = no limit, 1 = 1 MiB, etc.
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std::string hostname = "127.0.0.1";
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std::string public_path = ""; // NOLINT
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