sleepy/llama.cpp
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server : support preserving reasoning_content in assistant message (#18994)

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* support reasoning_content input

* report template caps to webui

* add docs

* rm commented code
This commit is contained in:
Xuan-Son Nguyen
2026-01-22 21:30:06 +01:00
committed by GitHub
parent a5eaa1d6a3
commit 51fa458a92
10 changed files with 165 additions and 131 deletions
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common/chat.h
+16 -9
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@@ -10,6 +10,8 @@
#include <vector>
#include <map>
#include <nlohmann/json_fwd.hpp>
struct common_chat_templates;
struct common_chat_tool_call {
@@ -26,6 +28,11 @@ struct common_chat_msg_content_part {
std::string type;
std::string text;
// TODO @ngxson : no known chat templates support reasoning_content in content parts yet
// this can be useful for models with interleaved thinking (like Kimi-K2)
// if you see any templates explicitly support this, please ping me
// std::string reasoning_content;
bool operator==(const common_chat_msg_content_part & other) const {
return type == other.type && text == other.text;
}
@@ -40,7 +47,7 @@ struct common_chat_msg {
std::string tool_name;
std::string tool_call_id;
template <class T> T to_json_oaicompat() const;
nlohmann::ordered_json to_json_oaicompat(bool concat_typed_text = false) const;
bool empty() const {
return content.empty() && content_parts.empty() && tool_calls.empty() && reasoning_content.empty() && tool_name.empty() && tool_call_id.empty();
@@ -232,13 +239,13 @@ common_chat_tool_choice common_chat_tool_choice_parse_oaicompat(const std::strin
bool common_chat_templates_support_enable_thinking(const common_chat_templates * chat_templates);
// Parses a JSON array of messages in OpenAI's chat completion API format.
// T can be std::string containing JSON or nlohmann::ordered_json
template <class T> std::vector<common_chat_msg> common_chat_msgs_parse_oaicompat(const T & messages);
template <class T> T common_chat_msgs_to_json_oaicompat(const std::vector<common_chat_msg> & msgs, bool concat_typed_text = false);
std::vector<common_chat_msg> common_chat_msgs_parse_oaicompat(const nlohmann::ordered_json & messages);
nlohmann::ordered_json common_chat_msgs_to_json_oaicompat(const std::vector<common_chat_msg> & msgs, bool concat_typed_text = false);
// Parses a JSON array of tools in OpenAI's chat completion tool call API format.
// T can be std::string containing JSON or nlohmann::ordered_json
template <class T> std::vector<common_chat_tool> common_chat_tools_parse_oaicompat(const T & tools);
template <class T> T common_chat_tools_to_json_oaicompat(const std::vector<common_chat_tool> & tools);
std::vector<common_chat_tool> common_chat_tools_parse_oaicompat(const nlohmann::ordered_json & tools);
nlohmann::ordered_json common_chat_tools_to_json_oaicompat(const std::vector<common_chat_tool> & tools);
template <class T> T common_chat_msg_diff_to_json_oaicompat(const common_chat_msg_diff & diff);
nlohmann::ordered_json common_chat_msg_diff_to_json_oaicompat(const common_chat_msg_diff & diff);
// get template caps, useful for reporting to server /props endpoint
std::map<std::string, bool> common_chat_templates_get_caps(const common_chat_templates * chat_templates);