diff --git a/common/chat.cpp b/common/chat.cpp
index 9639af9..971e6d6 100644
--- a/common/chat.cpp
+++ b/common/chat.cpp
@@ -1979,6 +1979,109 @@ static common_chat_params common_chat_params_init_deepseek_v3_2(const common_cha
     return data;
 }
 
+// Cohere Command (Cohere2 / command-a) tool-call + reasoning format:
+//   <|START_THINKING|>...plan...<|END_THINKING|>
+//   <|START_ACTION|>[{"tool_call_id":"0","tool_name":"X","parameters":{...}}]<|END_ACTION|>
+//   <|START_RESPONSE|>...text...<|END_RESPONSE|>
+// The action block is a JSON array of objects keyed by tool_name/parameters, with a
+// generated integer tool_call_id, which maps directly onto standard_json_tools().
+static common_chat_params common_chat_params_init_cohere2(const common_chat_template &          tmpl,
+                                                          const autoparser::generation_params & inputs) {
+    common_chat_params data;
+
+    data.prompt             = common_chat_template_direct_apply_impl(tmpl, inputs);
+    data.generation_prompt  = common_chat_template_generation_prompt_impl(tmpl, inputs);
+    data.format             = COMMON_CHAT_FORMAT_PEG_NATIVE;
+    data.supports_thinking  = true;
+    data.thinking_start_tag = "<|START_THINKING|>";
+    data.thinking_end_tag   = "<|END_THINKING|>";
+    data.preserved_tokens   = {
+        "<|START_THINKING|>", "<|END_THINKING|>",
+        "<|START_ACTION|>",   "<|END_ACTION|>",
+        "<|START_RESPONSE|>", "<|END_RESPONSE|>",
+    };
+
+    const std::string THINK_START  = "<|START_THINKING|>";
+    const std::string THINK_END    = "<|END_THINKING|>";
+    const std::string ACTION_START = "<|START_ACTION|>";
+    const std::string ACTION_END   = "<|END_ACTION|>";
+    const std::string RESP_START   = "<|START_RESPONSE|>";
+    const std::string RESP_END     = "<|END_RESPONSE|>";
+
+    const bool has_tools         = inputs.tools.is_array() && !inputs.tools.empty();
+    const bool extract_reasoning = inputs.reasoning_format != COMMON_REASONING_FORMAT_NONE;
+    const bool include_grammar   = has_tools && inputs.tool_choice != COMMON_CHAT_TOOL_CHOICE_NONE;
+
+    // With tools the template leaves generation open after <|CHATBOT_TOKEN|>; without tools
+    // it primes <|START_RESPONSE|> directly.
+    const bool response_primed =
+        data.generation_prompt.size() >= RESP_START.size() &&
+        data.generation_prompt.compare(data.generation_prompt.size() - RESP_START.size(),
+                                       RESP_START.size(), RESP_START) == 0;
+
+    auto parser = build_chat_peg_parser([&](common_chat_peg_builder & p) {
+        auto gen = p.literal(data.generation_prompt);
+        auto end = p.end();
+
+        if (!has_tools || inputs.tool_choice == COMMON_CHAT_TOOL_CHOICE_NONE) {
+            if (response_primed) {
+                return gen + p.content(p.until(RESP_END)) + p.literal(RESP_END) + end;
+            }
+            return gen + p.choice({
+                p.literal(RESP_START) + p.content(p.until(RESP_END)) + p.literal(RESP_END),
+                p.content(p.rest()),
+            }) + end;
+        }
+
+        auto reasoning = p.eps();
+        if (extract_reasoning && inputs.enable_thinking) {
+            reasoning = p.optional(p.literal(THINK_START) + p.reasoning(p.until(THINK_END)) + p.literal(THINK_END));
+        } else if (extract_reasoning) {
+            reasoning = p.optional(p.literal(THINK_START) + p.until(THINK_END) + p.literal(THINK_END));
+        }
+
+        auto tools_parser = p.standard_json_tools(
+            ACTION_START, ACTION_END, inputs.tools,
+            /* parallel_tool_calls = */ true,
+            /* force_tool_calls    = */ inputs.tool_choice == COMMON_CHAT_TOOL_CHOICE_REQUIRED,
+            /* name_key            = */ "tool_name",
+            /* args_key            = */ "parameters",
+            /* array_wrapped       = */ true,
+            /* function_is_key     = */ false,
+            /* call_id_key         = */ "",
+            /* gen_call_id_key     = */ "tool_call_id",
+            /* parameters_order    = */ {});
+
+        if (inputs.tool_choice == COMMON_CHAT_TOOL_CHOICE_REQUIRED) {
+            return gen + reasoning + p.space() + tools_parser + end;
+        }
+        // Content-first, then optional tool action (avoids non-backtracking choice on the
+        // tool-section trigger). The response may be <|START_RESPONSE|>-wrapped or bare;
+        // strip a leading wrapper token and let content run up to any tool action.
+        auto content_before = p.optional(p.literal(RESP_START)) + p.content(p.until(ACTION_START));
+        return gen + reasoning + p.space() + content_before + p.optional(tools_parser) + end;
+    });
+
+    data.parser = parser.save();
+
+    if (include_grammar) {
+        data.grammar_lazy = inputs.tool_choice == COMMON_CHAT_TOOL_CHOICE_AUTO;
+        data.grammar      = build_grammar([&](const common_grammar_builder & builder) {
+            foreach_function(inputs.tools, [&](const json & tool) {
+                const auto & function = tool.at("function");
+                auto         schema   = function.contains("parameters") ? function.at("parameters") : json::object();
+                builder.resolve_refs(schema);
+            });
+            parser.build_grammar(builder, data.grammar_lazy);
+        });
+        data.grammar_triggers = {
+            { COMMON_GRAMMAR_TRIGGER_TYPE_WORD, ACTION_START },
+        };
+    }
+
+    return data;
+}
+
 namespace workaround {
 
 static void map_developer_role_to_system(json & messages) {
@@ -2256,6 +2359,13 @@ std::optional<common_chat_params> common_chat_try_specialized_template(
         return common_chat_params_init_deepseek_v3_2(tmpl, params);
     }
 
+    // Cohere Command (Cohere2 / command-a) format detection: thinking + action-array tool calls.
+    if (src.find("<|START_ACTION|>")   != std::string::npos &&
+        src.find("<|START_THINKING|>") != std::string::npos &&
+        src.find("tool_name")          != std::string::npos) {
+        return common_chat_params_init_cohere2(tmpl, params);
+    }
+
     // Gemma4 format detection
     if (src.find("'<|tool_call>call:'") != std::string::npos) {
         if (src.find("{#- OpenAI Chat Completions:") == std::string::npos) {