chat : fix LFM2 tool-call parsing double-escaping (#24667)

* Add escape test cases

* chat : fix LFM2 tool-call parsing double-escaping

README.md

@@ -37,7 +37,7 @@ LLM inference in C/C++
 
 Getting started with llama.cpp is straightforward. Here are several ways to install it on your machine:
 
-- Install `llama.cpp` using [brew, nix or winget](docs/install.md)
+- Install `llama.cpp` using [brew, nix, winget, or conda-forge](docs/install.md)
 - Run with Docker - see our [Docker documentation](docs/docker.md)
 - Download pre-built binaries from the [releases page](https://github.com/ggml-org/llama.cpp/releases)
 - Build from source by cloning this repository - check out [our build guide](docs/build.md)

common/chat-auto-parser-generator.cpp

@@ -103,6 +103,10 @@ common_chat_params peg_generator::generate_parser(const common_chat_template &
             data.grammar_triggers = {
                 { COMMON_GRAMMAR_TRIGGER_TYPE_WORD, trigger_marker }
             };
+            if (autoparser.tools.format.openai_wrapper_trigger) {
+                // model emits the OpenAI function wrapper, trigger on it
+                data.grammar_triggers.push_back({ COMMON_GRAMMAR_TRIGGER_TYPE_WORD, "{\"type\": \"function\"," });
+            }
         }
     }
 
@@ -224,13 +228,13 @@ common_peg_parser analyze_tools::build_tool_parser_json_native(parser_build_cont
         auto single_tool_parser = p.standard_json_tools(
             format.per_call_start, format.per_call_end, inputs.tools, inputs.parallel_tool_calls,
             inputs.tool_choice == COMMON_CHAT_TOOL_CHOICE_REQUIRED, name_field, args_field, format.tools_array_wrapped,
-            format.fun_name_is_key, format.id_field, format.gen_id_field, format.parameter_order);
+            format.fun_name_is_key, format.id_field, format.gen_id_field, format.parameter_order, format.openai_wrapper_trigger);
         tools_parser = p.trigger_rule("tool-calls", p.one_or_more(single_tool_parser + p.space()));
     } else {
         tools_parser = p.standard_json_tools(
             format.section_start, format.section_end, inputs.tools, inputs.parallel_tool_calls,
             inputs.tool_choice == COMMON_CHAT_TOOL_CHOICE_REQUIRED, name_field, args_field, format.tools_array_wrapped,
-            format.fun_name_is_key, format.id_field, format.gen_id_field, format.parameter_order);
+            format.fun_name_is_key, format.id_field, format.gen_id_field, format.parameter_order, format.openai_wrapper_trigger);
     }
 
     // Handle content wrappers if present

common/chat-auto-parser.h

@@ -181,6 +181,7 @@ struct tool_format_analysis {
 
     bool fun_name_is_key = false;       // In JSON format function name is JSON key, i.e. { "<funname>": { ... arguments ... } }
     bool tools_array_wrapped = false;   // Tool calls wrapped in JSON array [...]
+    bool openai_wrapper_trigger = false;  // model emits the OpenAI function wrapper, trigger on it
 
     std::string              function_field = "function";
     std::string              name_field     = "name";

common/chat-diff-analyzer.cpp

@@ -165,6 +165,14 @@ static std::vector<std::function<void(const common_chat_template & tmpl, autopar
               LOG_DBG(ANSI_ORANGE "[Patch: Apriel 1.6]\n" ANSI_RESET);
           }
       },
+      // template uses the JSON {name, parameters} tool instruction, emits the OpenAI function wrapper
+      [](const common_chat_template & tmpl, autoparser & analysis) -> void {
+          if (tmpl.src.find("Respond in the format {\"name\": function name") != std::string::npos &&
+              tmpl.src.find("Do not use variables.") != std::string::npos) {
+              analysis.tools.format.openai_wrapper_trigger = true;
+              LOG_DBG(ANSI_ORANGE "[Patch: JSON name/parameters tool instruction]\n" ANSI_RESET);
+          }
+      },
 
     });
 

common/chat-peg-parser.cpp

@@ -540,10 +540,11 @@ common_peg_parser common_chat_peg_builder::python_style_tool_calls(
                 auto arg_name_parser = literal(prop_name);
 
                 common_peg_parser arg_value_parser = eps();
-                auto string_value_parser = choice({
-                    literal("\"") + tool_arg_string_value(string_content('"')) + literal("\""),
-                    literal("'") + tool_arg_string_value(string_content('\'')) + literal("'")
-                });
+                // Quoted literal as a value: normalize_quotes_to_json preserves escapes.
+                auto string_value_parser = tool_arg_value(choice({
+                    literal("\"") + string_content('"') + literal("\""),
+                    literal("'") + string_content('\'') + literal("'")
+                }));
 
                 if (is_string_type) {
                     arg_value_parser = string_value_parser;
@@ -745,7 +746,8 @@ common_peg_parser common_chat_peg_builder::build_json_tools_flat_keys(
     const std::string &              effective_args_key,
     const std::string &              call_id_key,
     const std::string &              gen_call_id_key,
-    const std::vector<std::string> & parameters_order) {
+    const std::vector<std::string> & parameters_order,
+    bool                             accept_openai_wrapper) {
 
     auto tool_choices    = choice();
     auto name_key_parser = literal("\"" + effective_name_key + "\"");
@@ -807,7 +809,13 @@ common_peg_parser common_chat_peg_builder::build_json_tools_flat_keys(
                 return idx_a < idx_b;
             });
 
-        auto ordered_body = tool_open(literal("{")) + space();
+        // accept an optional leading "type": "function" field when the model emits the OpenAI wrapper
+        common_peg_parser type_field = eps();
+        if (accept_openai_wrapper) {
+            type_field = optional(literal("\"type\"") + space() + literal(":") + space() +
+                                  literal("\"function\"") + space() + literal(",") + space());
+        }
+        auto ordered_body = tool_open(literal("{")) + space() + type_field;
         for (size_t i = 0; i < parser_pairs.size(); i++) {
             ordered_body = ordered_body + parser_pairs[i].first;
             if (i < parser_pairs.size() - 1) {
@@ -870,7 +878,8 @@ common_peg_parser common_chat_peg_builder::standard_json_tools(
                                                        bool                             function_is_key,
                                                        const std::string &              call_id_key,
                                                        const std::string &              gen_call_id_key,
-                                                       const std::vector<std::string> & parameters_order) {
+                                                       const std::vector<std::string> & parameters_order,
+                                                       bool                             accept_openai_wrapper) {
     if (!tools.is_array() || tools.empty()) {
         return eps();
     }
@@ -888,7 +897,7 @@ common_peg_parser common_chat_peg_builder::standard_json_tools(
         if (!name_spec.first.empty() || !args_spec.first.empty()) {
             tool_choices = build_json_tools_nested_keys(tools, effective_name_key, effective_args_key, call_id_key, gen_call_id_key);
         } else {
-            tool_choices = build_json_tools_flat_keys(tools, effective_name_key, effective_args_key, call_id_key, gen_call_id_key, parameters_order);
+            tool_choices = build_json_tools_flat_keys(tools, effective_name_key, effective_args_key, call_id_key, gen_call_id_key, parameters_order, accept_openai_wrapper);
         }
     }
 

common/chat-peg-parser.h

@@ -120,7 +120,8 @@ class common_chat_peg_builder : public common_peg_parser_builder {
                                           bool                             function_is_key = false,
                                           const std::string &              call_id_key = "",
                                           const std::string &              gen_call_id_key = "",
-                                          const std::vector<std::string> & parameters_order = {});
+                                          const std::vector<std::string> & parameters_order = {},
+                                          bool                             accept_openai_wrapper = false);
 
     // Legacy-compatible helper for building XML/tagged style tool calls
     // Used by tests and manual parsers
@@ -157,7 +158,8 @@ class common_chat_peg_builder : public common_peg_parser_builder {
                                                  const std::string &              effective_args_key,
                                                  const std::string &              call_id_key,
                                                  const std::string &              gen_call_id_key,
-                                                 const std::vector<std::string> & parameters_order);
+                                                 const std::vector<std::string> & parameters_order,
+                                                 bool                             accept_openai_wrapper);
 };
 
 inline common_peg_arena build_chat_peg_parser(

common/chat.cpp

@@ -2678,8 +2678,9 @@ common_chat_msg common_chat_peg_parse(const common_peg_arena &          src_pars
             }
             return msg;
         }
-        throw std::runtime_error(std::string("Failed to parse input at pos ") + std::to_string(result.end) + ": " +
-                                 effective_input.substr(result.end));
+        LOG_WRN("%s: unparsed %s output: %s\n", __func__, common_chat_format_name(params.format), effective_input.substr(result.end).c_str());
+        LOG_DBG("%s: full %s output triggering error:\n=== BEGIN ===\n%s\n=== END ===\n", __func__, common_chat_format_name(params.format), effective_input.c_str());
+        throw std::runtime_error(std::string("The model produced output that does not match the expected ") + common_chat_format_name(params.format) + " format");
     }
 
     common_chat_msg msg;

docs/install.md

@@ -1,12 +1,40 @@
 # Install pre-built version of llama.cpp
 
-| Install via | Windows | Mac | Linux |
-|-------------|---------|-----|-------|
+| Install via | Windows | Mac  | Linux |
+|-------------|---------|------|-------|
+| conda-forge | ✅      | ✅   | ✅   |
 | Winget      | ✅      |      |      |
 | Homebrew    |         | ✅   | ✅   |
 | MacPorts    |         | ✅   |      |
 | Nix         |         | ✅   | ✅   |
 
+## conda-forge (Windows, Mac and Linux)
+
+conda-forge provides builds for:
+ - CUDA (Windows and Linux)
+ - Vulkan (Windows and Linux)
+ - Apple Metal (macOS)
+
+```sh
+conda install -c conda-forge llama-cpp
+```
+
+```sh
+mamba install -c conda-forge llama-cpp
+```
+
+```sh
+# Project-local installation
+pixi add llama-cpp
+
+# Global installation
+pixi global install llama-cpp
+```
+
+This distribution is managed on [`conda-forge/llama-cpp-feedstock`](https://github.com/conda-forge/llama.cpp-feedstock/).
+
+Shall you have any problems, please open an issue on [its issue tracker](https://github.com/conda-forge/llama.cpp-feedstock/issues).
+
 ## Winget (Windows)
 
 ```sh

tests/test-chat.cpp

@@ -1882,11 +1882,29 @@ static void test_lfm2_parser(const std::string & template_path, bool detailed_de
         .expect(simple_assist_msg("Use this format: [link text](url). Example: [Wikipedia](https://www.wikipedia.org)."))
         .run();
 
-    // Python tool with multiline code in string
+    // Python tool with multiline code in string: the \n in the literal decodes to a real
+    // newline, emitted as a JSON \n escape (not a doubled backslash).
     tst.test("<|tool_call_start|>[python(code=\"def hello():\\n    print('hey')\")]<|tool_call_end|>")
         .tools({ python_tool })
         .expect_tool_calls({
-            { "python", R"#({"code": "def hello():\\n    print('hey')"})#", "" }
+            { "python", R"#({"code": "def hello():\n    print('hey')"})#", "" }
+        })
+        .run();
+
+    // String escape sequences decode to their actual characters (newline + tab here),
+    // so a "write a two line file" style call produces real line breaks, not literal "\n".
+    tst.test("<|tool_call_start|>[python(code=\"First line\\nSecond line\\tindented\")]<|tool_call_end|>")
+        .tools({ python_tool })
+        .expect_tool_calls({
+            { "python", R"#({"code": "First line\nSecond line\tindented"})#", "" }
+        })
+        .run();
+
+    // Escaped quotes inside a string argument survive the round-trip.
+    tst.test("<|tool_call_start|>[python(code=\"print(\\\"hi\\\")\")]<|tool_call_end|>")
+        .tools({ python_tool })
+        .expect_tool_calls({
+            { "python", R"#({"code": "print(\"hi\")"})#", "" }
         })
         .run();
 

tools/mtmd/mtmd.cpp

@@ -96,16 +96,15 @@ struct mtmd_image_tokens {
             // [BOI] [row0 tokens + newline] ... [row(ny-1) tokens + newline] [EOI]
             return (nx + 1) * ny + 2;
         }
-        // [QWEN_VIDEO] this logic is quite ugly, it's mostly to make qwen-vl temporal merge work, can be improved in the future
-        if (batch_f32.entries.size() == 1 || n_temporal_merge == 1) {
-            return nx * ny;
-        }
         uint32_t nz = batch_f32.entries.size();
-        // TODO: simplify this by repeating the last frame until it fits the temporal merge
-        if (nz % n_temporal_merge != 0) {
-            nz = nz / n_temporal_merge + 1;
-        } else {
-            nz = nz / n_temporal_merge;
+        if (n_temporal_merge > 1) {
+            // [QWEN_VIDEO] this logic is quite ugly, it's mostly to make qwen-vl temporal merge work, can be improved in the future
+            // TODO: simplify this by repeating the last frame until it fits the temporal merge
+            if (nz % n_temporal_merge != 0) {
+                nz = nz / n_temporal_merge + 1;
+            } else {
+                nz = nz / n_temporal_merge;
+            }
         }
         return nx * ny * nz;
     }