server : support preserving reasoning_content in assistant message (#18994)
* support reasoning_content input * report template caps to webui * add docs * rm commented code
This commit is contained in:
@@ -1630,7 +1630,7 @@ common_chat_msg common_chat_parse(const std::string & input, bool is_partial, co
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}
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auto msg = builder.result();
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if (!is_partial) {
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LOG_DBG("Parsed message: %s\n", common_chat_msgs_to_json_oaicompat<json>({msg}).at(0).dump().c_str());
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LOG_DBG("Parsed message: %s\n", common_chat_msgs_to_json_oaicompat({msg}).at(0).dump().c_str());
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}
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return msg;
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}
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@@ -1663,7 +1663,7 @@ common_chat_msg common_chat_peg_parse(const common_peg_arena & parser, const std
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mapper.from_ast(ctx.ast, result);
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}
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if (!is_partial) {
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LOG_DBG("Parsed message: %s\n", common_chat_msgs_to_json_oaicompat<json>({msg}).at(0).dump().c_str());
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LOG_DBG("Parsed message: %s\n", common_chat_msgs_to_json_oaicompat({msg}).at(0).dump().c_str());
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}
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return msg;
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}
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+72
-103
@@ -7,9 +7,6 @@
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#include "log.h"
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#include "regex-partial.h"
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// #include <minja/chat-template.hpp>
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// #include <minja/minja.hpp>
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#include "jinja/parser.h"
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#include "jinja/value.h"
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#include "jinja/runtime.h"
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@@ -56,39 +53,73 @@ static bool has_content_or_tool_calls(const common_chat_msg & msg) {
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return !msg.content.empty() || !msg.tool_calls.empty();
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}
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template <>
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json common_chat_msg::to_json_oaicompat() const
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{
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json message {
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{"role", "assistant"},
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};
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if (!reasoning_content.empty()) {
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message["reasoning_content"] = reasoning_content;
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json common_chat_msg::to_json_oaicompat(bool concat_typed_text) const {
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if (!content.empty() && !content_parts.empty()) {
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throw std::runtime_error("Cannot specify both content and content_parts");
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}
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if (content.empty() && !tool_calls.empty()) {
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message["content"] = json();
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json jmsg {
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{"role", role},
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};
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if (!content.empty()) {
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jmsg["content"] = content;
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} else if (!content_parts.empty()) {
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if (concat_typed_text) {
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std::string text;
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for (const auto & part : content_parts) {
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if (part.type != "text") {
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LOG_WRN("Ignoring content part type: %s\n", part.type.c_str());
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continue;
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}
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if (!text.empty()) {
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text += '\n';
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}
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text += part.text;
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}
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jmsg["content"] = text;
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} else {
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auto & parts = jmsg["content"] = json::array();
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for (const auto & part : content_parts) {
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parts.push_back({
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{"type", part.type},
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{"text", part.text},
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});
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}
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}
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} else {
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message["content"] = content;
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jmsg["content"] = "";
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}
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if (!reasoning_content.empty()) {
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jmsg["reasoning_content"] = reasoning_content;
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}
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if (!tool_name.empty()) {
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jmsg["name"] = tool_name;
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}
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if (!tool_call_id.empty()) {
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jmsg["tool_call_id"] = tool_call_id;
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}
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if (!tool_calls.empty()) {
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auto arr = json::array();
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for (const auto & tc : tool_calls) {
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arr.push_back({
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jmsg["tool_calls"] = json::array();
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auto & jtool_calls = jmsg["tool_calls"];
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for (const auto & tool_call : tool_calls) {
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json tc {
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{"type", "function"},
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{"function", {
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{"name", tc.name},
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{"arguments", tc.arguments},
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{"name", tool_call.name},
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{"arguments", tool_call.arguments},
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}},
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{"id", tc.id},
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// // Some templates generate and require an id (sometimes in a very specific format, e.g. Mistral Nemo).
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// // We only generate a random id for the ones that don't generate one by themselves
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// // (they also won't get to see it as their template likely doesn't use it, so it's all for the client)
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// {"id", tc.id.empty() ? gen_tool_call_id() : tc.id},
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});
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};
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if (!tool_call.id.empty()) {
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tc["id"] = tool_call.id;
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}
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// Some templates generate and require an id (sometimes in a very specific format, e.g. Mistral Nemo).
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// We only generate a random id for the ones that don't generate one by themselves
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// (they also won't get to see it as their template likely doesn't use it, so it's all for the client)
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// {"id", tc.id.empty() ? gen_tool_call_id() : tc.id},
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jtool_calls.push_back(tc);
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}
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message["tool_calls"] = arr;
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}
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return message;
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return jmsg;
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}
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std::vector<common_chat_msg_diff> common_chat_msg_diff::compute_diffs(const common_chat_msg & msg_prv, const common_chat_msg & msg_new) {
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@@ -256,7 +287,6 @@ bool common_chat_templates_support_enable_thinking(const common_chat_templates *
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return rendered_no_thinking.prompt != rendered_with_thinking.prompt;
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}
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template <>
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std::vector<common_chat_msg> common_chat_msgs_parse_oaicompat(const json & messages) {
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std::vector<common_chat_msg> msgs;
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@@ -350,80 +380,15 @@ std::vector<common_chat_msg> common_chat_msgs_parse_oaicompat(const json & messa
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return msgs;
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}
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template <>
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json common_chat_msgs_to_json_oaicompat(const std::vector<common_chat_msg> & msgs, bool concat_typed_text) {
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json messages = json::array();
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for (const auto & msg : msgs) {
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if (!msg.content.empty() && !msg.content_parts.empty()) {
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throw std::runtime_error("Cannot specify both content and content_parts");
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}
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json jmsg {
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{"role", msg.role},
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};
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if (!msg.content.empty()) {
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jmsg["content"] = msg.content;
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} else if (!msg.content_parts.empty()) {
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if (concat_typed_text) {
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std::string text;
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for (const auto & part : msg.content_parts) {
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if (part.type != "text") {
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LOG_WRN("Ignoring content part type: %s\n", part.type.c_str());
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continue;
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}
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if (!text.empty()) {
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text += '\n';
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}
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text += part.text;
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}
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jmsg["content"] = text;
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} else {
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auto & parts = jmsg["content"] = json::array();
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for (const auto & part : msg.content_parts) {
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parts.push_back({
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{"type", part.type},
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{"text", part.text},
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});
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}
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}
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} else {
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jmsg["content"] = "";
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}
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if (!msg.reasoning_content.empty()) {
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jmsg["reasoning_content"] = msg.reasoning_content;
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}
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if (!msg.tool_name.empty()) {
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jmsg["name"] = msg.tool_name;
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}
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if (!msg.tool_call_id.empty()) {
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jmsg["tool_call_id"] = msg.tool_call_id;
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}
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if (!msg.tool_calls.empty()) {
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auto & tool_calls = jmsg["tool_calls"] = json::array();
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for (const auto & tool_call : msg.tool_calls) {
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json tc {
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{"type", "function"},
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{"function", {
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{"name", tool_call.name},
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{"arguments", tool_call.arguments},
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}},
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};
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if (!tool_call.id.empty()) {
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tc["id"] = tool_call.id;
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}
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tool_calls.push_back(tc);
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}
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}
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json jmsg = msg.to_json_oaicompat(concat_typed_text);
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messages.push_back(jmsg);
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}
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return messages;
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}
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template <>
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std::vector<common_chat_msg> common_chat_msgs_parse_oaicompat(const std::string & messages) {
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return common_chat_msgs_parse_oaicompat(json::parse(messages));
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}
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template <>
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std::vector<common_chat_tool> common_chat_tools_parse_oaicompat(const json & tools) {
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std::vector<common_chat_tool> result;
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@@ -459,12 +424,6 @@ std::vector<common_chat_tool> common_chat_tools_parse_oaicompat(const json & too
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return result;
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}
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template <>
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std::vector<common_chat_tool> common_chat_tools_parse_oaicompat(const std::string & tools) {
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return common_chat_tools_parse_oaicompat(json::parse(tools));
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}
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template <>
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json common_chat_tools_to_json_oaicompat(const std::vector<common_chat_tool> & tools) {
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if (tools.empty()) {
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return json();
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@@ -484,7 +443,7 @@ json common_chat_tools_to_json_oaicompat(const std::vector<common_chat_tool> & t
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return result;
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}
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template <> json common_chat_msg_diff_to_json_oaicompat(const common_chat_msg_diff & diff) {
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json common_chat_msg_diff_to_json_oaicompat(const common_chat_msg_diff & diff) {
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json delta = json::object();
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if (!diff.reasoning_content_delta.empty()) {
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delta["reasoning_content"] = diff.reasoning_content_delta;
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@@ -2867,13 +2826,13 @@ static common_chat_params common_chat_templates_apply_jinja(
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const struct common_chat_templates_inputs & inputs)
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{
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templates_params params;
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params.tools = common_chat_tools_to_json_oaicompat<json>(inputs.tools);
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params.tools = common_chat_tools_to_json_oaicompat(inputs.tools);
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const auto & tmpl = params.tools.is_array() && tmpls->template_tool_use
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? *tmpls->template_tool_use
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: *tmpls->template_default;
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const auto & src = tmpl.source();
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const auto & caps = tmpl.original_caps();
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params.messages = common_chat_msgs_to_json_oaicompat<json>(inputs.messages, /* concat_text= */ !tmpl.original_caps().requires_typed_content);
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params.messages = common_chat_msgs_to_json_oaicompat(inputs.messages, /* concat_text= */ !tmpl.original_caps().requires_typed_content);
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params.add_generation_prompt = inputs.add_generation_prompt;
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params.tool_choice = inputs.tool_choice;
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params.reasoning_format = inputs.reasoning_format;
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@@ -2943,6 +2902,10 @@ static common_chat_params common_chat_templates_apply_jinja(
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src.find("<arg_value>") != std::string::npos &&
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params.json_schema.is_null()) {
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workaround::func_args_not_string(params.messages);
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if (!params.extra_context.contains("clear_thinking")) {
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// by default, do not clear reasoning_content (added since GLM-4.7)
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params.extra_context["clear_thinking"] = false;
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}
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return common_chat_params_init_glm_4_5(tmpl, params);
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}
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@@ -3174,3 +3137,9 @@ common_chat_params common_chat_templates_apply(
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? common_chat_templates_apply_jinja(tmpls, inputs)
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: common_chat_templates_apply_legacy(tmpls, inputs);
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}
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std::map<std::string, bool> common_chat_templates_get_caps(const common_chat_templates * chat_templates) {
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GGML_ASSERT(chat_templates != nullptr);
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GGML_ASSERT(chat_templates->template_default != nullptr);
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return chat_templates->template_default->caps.to_map();
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}
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+16
-9
@@ -10,6 +10,8 @@
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#include <vector>
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#include <map>
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#include <nlohmann/json_fwd.hpp>
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struct common_chat_templates;
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struct common_chat_tool_call {
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@@ -26,6 +28,11 @@ struct common_chat_msg_content_part {
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std::string type;
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std::string text;
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// TODO @ngxson : no known chat templates support reasoning_content in content parts yet
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// this can be useful for models with interleaved thinking (like Kimi-K2)
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// if you see any templates explicitly support this, please ping me
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// std::string reasoning_content;
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bool operator==(const common_chat_msg_content_part & other) const {
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return type == other.type && text == other.text;
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}
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@@ -40,7 +47,7 @@ struct common_chat_msg {
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std::string tool_name;
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std::string tool_call_id;
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template <class T> T to_json_oaicompat() const;
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nlohmann::ordered_json to_json_oaicompat(bool concat_typed_text = false) const;
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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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@@ -232,13 +239,13 @@ common_chat_tool_choice common_chat_tool_choice_parse_oaicompat(const std::strin
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bool common_chat_templates_support_enable_thinking(const common_chat_templates * chat_templates);
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// Parses a JSON array of messages in OpenAI's chat completion API format.
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// T can be std::string containing JSON or nlohmann::ordered_json
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template <class T> std::vector<common_chat_msg> common_chat_msgs_parse_oaicompat(const T & messages);
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template <class T> T common_chat_msgs_to_json_oaicompat(const std::vector<common_chat_msg> & msgs, bool concat_typed_text = false);
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std::vector<common_chat_msg> common_chat_msgs_parse_oaicompat(const nlohmann::ordered_json & messages);
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nlohmann::ordered_json common_chat_msgs_to_json_oaicompat(const std::vector<common_chat_msg> & msgs, bool concat_typed_text = false);
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// Parses a JSON array of tools in OpenAI's chat completion tool call API format.
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// T can be std::string containing JSON or nlohmann::ordered_json
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template <class T> std::vector<common_chat_tool> common_chat_tools_parse_oaicompat(const T & tools);
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template <class T> T common_chat_tools_to_json_oaicompat(const std::vector<common_chat_tool> & tools);
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std::vector<common_chat_tool> common_chat_tools_parse_oaicompat(const nlohmann::ordered_json & tools);
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nlohmann::ordered_json common_chat_tools_to_json_oaicompat(const std::vector<common_chat_tool> & tools);
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template <class T> T common_chat_msg_diff_to_json_oaicompat(const common_chat_msg_diff & diff);
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nlohmann::ordered_json common_chat_msg_diff_to_json_oaicompat(const common_chat_msg_diff & diff);
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// get template caps, useful for reporting to server /props endpoint
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std::map<std::string, bool> common_chat_templates_get_caps(const common_chat_templates * chat_templates);
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+48
-5
@@ -61,14 +61,23 @@ static void caps_print_stats(value & v, const std::string & path) {
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ops.c_str());
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}
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std::map<std::string, bool> caps::to_map() const {
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return {
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{"requires_typed_content", requires_typed_content},
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{"supports_tools", supports_tools},
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{"supports_tool_calls", supports_tool_calls},
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{"supports_parallel_tool_calls", supports_parallel_tool_calls},
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{"supports_system_role", supports_system_role},
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{"supports_preserve_reasoning", supports_preserve_reasoning},
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};
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}
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std::string caps::to_string() const {
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std::ostringstream ss;
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ss << "Caps(\n";
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ss << " requires_typed_content=" << requires_typed_content << "\n";
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ss << " supports_tools=" << supports_tools << "\n";
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ss << " supports_tool_calls=" << supports_tool_calls << "\n";
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ss << " supports_parallel_tool_calls=" << supports_parallel_tool_calls << "\n";
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ss << " supports_system_role=" << supports_system_role << "\n";
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for (const auto & [key, value] : to_map()) {
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ss << " " << key << "=" << (value ? "true" : "false") << "\n";
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}
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ss << ")";
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return ss.str();
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}
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@@ -229,6 +238,40 @@ caps caps_get(jinja::program & prog) {
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}
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);
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// case: preserve reasoning content in chat history
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caps_try_execute(
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prog,
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[&]() {
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// messages
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return json::array({
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{
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{"role", "user"},
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{"content", "User message"}
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},
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{
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{"role", "assistant"},
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{"content", "Assistant message"},
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{"reasoning_content", "Reasoning content"}
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},
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{
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{"role", "user"},
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{"content", "User message"}
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},
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});
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},
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[&]() {
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// tools
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return json::array();
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},
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[&](bool, value & messages, value &) {
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auto & content = messages->at(1)->at("reasoning_content");
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caps_print_stats(content, "messages[1].reasoning_content");
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if (content->stats.used) {
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result.supports_preserve_reasoning = true;
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}
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}
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);
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JJ_DEBUG("%s\n", result.to_string().c_str());
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return result;
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+5
-1
@@ -3,6 +3,7 @@
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#include "runtime.h"
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#include <string>
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#include <map>
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namespace jinja {
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@@ -11,14 +12,17 @@ struct caps {
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bool supports_tool_calls = true;
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bool supports_system_role = true;
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bool supports_parallel_tool_calls = true;
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bool supports_preserve_reasoning = false; // support assistant message with reasoning_content
|
||||
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bool requires_typed_content = false; // default: use string content
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// for reporting on server
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||||
std::map<std::string, bool> to_map() const;
|
||||
|
||||
// for debugging
|
||||
std::string to_string() const;
|
||||
};
|
||||
|
||||
caps caps_get(jinja::program & prog);
|
||||
void debug_print_caps(const caps & c);
|
||||
|
||||
} // namespace jinja
|
||||
|
||||
Reference in New Issue
Block a user