refactor: Finalize agent template

sources/agents/Agent.cpp

@@ -34,9 +34,8 @@ QString AgentConfig::validate(const AgentConfig &config)
         return QStringLiteral("Agent config '%1' has no model").arg(config.name);
     if (config.endpoint.isEmpty())
         return QStringLiteral("Agent config '%1' has no endpoint").arg(config.name);
-    if (config.messageFormat.isEmpty()) {
-        return QStringLiteral("Agent config '%1' has no [template].message_format")
-            .arg(config.name);
+    if (config.body.isEmpty()) {
+        return QStringLiteral("Agent config '%1' has no [body]").arg(config.name);
     }
     return {};
 }

sources/agents/AgentConfig.hpp

@@ -19,7 +19,7 @@ struct AgentConfig
     QString providerInstance;
     QString model;
     QString endpoint;
-    QString role;
+    QString systemPrompt;
     QStringList tags;
 
     struct Match
@@ -40,10 +40,7 @@ struct AgentConfig
     bool enableThinking = false;
     bool enableTools = false;
 
-    QString messageFormat;
-    QJsonObject sampling;
-    QJsonObject thinking;
-    QString context;
+    QJsonObject body;
     QString extendsName;
     bool abstract = false;
     bool hidden = false;

sources/agents/AgentFactory.cpp

@@ -4,6 +4,11 @@
 
 #include "AgentFactory.hpp"
 
+#include <QDir>
+#include <QFile>
+#include <QFileInfo>
+#include <QJsonDocument>
+#include <QJsonObject>
 #include <QLoggingCategory>
 #include <QThread>
 
@@ -37,6 +42,7 @@ AgentFactory::AgentFactory(
     , m_secrets(secrets)
 {
     ::initAgentsResource();
+    loadModelOverrides();
     reload();
 }
 
@@ -169,7 +175,11 @@ Agent *AgentFactory::create(const QString &name, QObject *parent, QString *error
         *cfg, m_instanceFactory.data(), m_secrets.data(), errorOut);
     if (!provider)
         return nullptr;
-    auto agent = std::make_unique<Agent>(*cfg, provider, /*parent=*/nullptr);
+    AgentConfig resolved = *cfg;
+    const QString modelOv = m_modelOverrides.value(resolved.name);
+    if (!modelOv.isEmpty())
+        resolved.model = modelOv;
+    auto agent = std::make_unique<Agent>(resolved, provider, /*parent=*/nullptr);
     if (!agent->isValid()) {
         if (errorOut)
             *errorOut = agent->invalidReason();
@@ -193,6 +203,9 @@ Agent *AgentFactory::createFromFile(
         *cfgOpt, m_instanceFactory.data(), m_secrets.data(), errorOut);
     if (!provider)
         return nullptr;
+    const QString modelOv = m_modelOverrides.value(cfgOpt->name);
+    if (!modelOv.isEmpty())
+        cfgOpt->model = modelOv;
     auto agent = std::make_unique<Agent>(std::move(*cfgOpt), provider, /*parent=*/nullptr);
     if (!agent->isValid()) {
         if (errorOut) *errorOut = agent->invalidReason();
@@ -221,4 +234,55 @@ Providers::ProviderSecretsStore *AgentFactory::secretsStore() const noexcept
     return m_secrets.data();
 }
 
+QString AgentFactory::modelOverride(const QString &agentName) const
+{
+    return m_modelOverrides.value(agentName);
+}
+
+void AgentFactory::setModelOverride(const QString &agentName, const QString &model)
+{
+    if (model.isEmpty())
+        m_modelOverrides.remove(agentName);
+    else
+        m_modelOverrides.insert(agentName, model);
+    saveModelOverrides();
+}
+
+namespace {
+QString modelOverridesPath()
+{
+    return Core::ICore::userResourcePath(QStringLiteral("qodeassist/config/agent_models.json"))
+        .toFSPathString();
+}
+} // namespace
+
+void AgentFactory::loadModelOverrides()
+{
+    m_modelOverrides.clear();
+    QFile f(modelOverridesPath());
+    if (!f.open(QIODevice::ReadOnly | QIODevice::Text))
+        return;
+    const QJsonObject obj = QJsonDocument::fromJson(f.readAll()).object();
+    for (auto it = obj.constBegin(); it != obj.constEnd(); ++it) {
+        const QString model = it.value().toString();
+        if (!model.isEmpty())
+            m_modelOverrides.insert(it.key(), model);
+    }
+}
+
+void AgentFactory::saveModelOverrides() const
+{
+    const QString path = modelOverridesPath();
+    QDir().mkpath(QFileInfo(path).absolutePath());
+    QJsonObject obj;
+    for (auto it = m_modelOverrides.constBegin(); it != m_modelOverrides.constEnd(); ++it)
+        obj.insert(it.key(), it.value());
+    QFile f(path);
+    if (!f.open(QIODevice::WriteOnly | QIODevice::Text)) {
+        LOG_MESSAGE(QStringLiteral("[Agents] cannot write model overrides: %1").arg(path));
+        return;
+    }
+    f.write(QJsonDocument(obj).toJson(QJsonDocument::Indented));
+}
+
 } // namespace QodeAssist

sources/agents/AgentFactory.hpp

@@ -53,12 +53,22 @@ public:
     void registerConfig(AgentConfig config);
     void clear();
 
+    // Per-agent model chosen in QodeAssist settings. The agent TOML's `model`
+    // is only the default; an override here (keyed by agent name) wins and is
+    // applied when the agent is built. Empty model clears the override.
+    [[nodiscard]] QString modelOverride(const QString &agentName) const;
+    void setModelOverride(const QString &agentName, const QString &model);
+
     [[nodiscard]] Providers::ProviderInstanceFactory *instanceFactory() const noexcept;
     [[nodiscard]] Providers::ProviderSecretsStore *secretsStore() const noexcept;
 
 private:
+    void loadModelOverrides();
+    void saveModelOverrides() const;
+
     std::vector<AgentConfig> m_configs;
     QHash<QString, qsizetype> m_indexByName;
+    QHash<QString, QString> m_modelOverrides;
     QStringList m_errors;
     QStringList m_warnings;
     QPointer<Providers::ProviderInstanceFactory> m_instanceFactory;

sources/agents/AgentLoader.cpp

@@ -120,8 +120,7 @@ AgentConfig configFromMerged(const QJsonObject &obj)
     cfg.providerInstance = obj.value("provider_instance").toString();
     cfg.model       = obj.value("model").toString();
     cfg.endpoint    = obj.value("endpoint").toString();
-    cfg.role        = obj.value("role").toString();
-    cfg.context     = obj.value("context").toString();
+    cfg.systemPrompt = obj.value("system_prompt").toString();
     cfg.enableThinking = obj.value("enable_thinking").toBool(false);
     cfg.enableTools    = obj.value("enable_tools").toBool(false);
     cfg.tags        = stringArray(obj.value("tags"));
@@ -135,10 +134,7 @@ AgentConfig configFromMerged(const QJsonObject &obj)
     cfg.abstract    = obj.value("abstract").toBool(false);
     cfg.hidden      = obj.value("hidden").toBool(false);
 
-    const QJsonObject tpl = obj.value("template").toObject();
-    cfg.messageFormat = tpl.value("message_format").toString();
-    cfg.sampling      = tpl.value("sampling").toObject();
-    cfg.thinking      = tpl.value("thinking").toObject();
+    cfg.body = obj.value("body").toObject();
     return cfg;
 }
 

sources/agents/agents.qrc

@@ -1,11 +1,46 @@
 <RCC>
     <qresource prefix="/agents">
+        <file>partials/openai_messages.jinja</file>
+        <file>partials/openai_assistant.jinja</file>
+        <file>partials/openai_tool_results.jinja</file>
+        <file>partials/openai_user.jinja</file>
+        <file>partials/openai_image_content.jinja</file>
+        <file>partials/openai_responses_input.jinja</file>
+        <file>partials/anthropic_messages.jinja</file>
+        <file>partials/anthropic_image.jinja</file>
+        <file>partials/google_contents.jinja</file>
+        <file>partials/google_part.jinja</file>
+        <file>partials/ollama_messages.jinja</file>
+
+        <file>chat_base.toml</file>
+        <file>openai_base_chat.toml</file>
+        <file>openai_responses_base.toml</file>
+        <file>anthropic_base_chat.toml</file>
+        <file>google_base_chat.toml</file>
         <file>ollama_base_chat.toml</file>
         <file>ollama_base_fim.toml</file>
+
+        <file>openai_chat.toml</file>
+        <file>openai_compatible_chat.toml</file>
+        <file>openai_responses.toml</file>
+        <file>mistral_chat.toml</file>
+        <file>mistral_medium_chat.toml</file>
+        <file>mistral_reasoning_chat.toml</file>
+        <file>codestral_chat.toml</file>
+        <file>codestral_fim.toml</file>
+        <file>llamacpp_chat.toml</file>
+        <file>lmstudio_chat.toml</file>
+        <file>lmstudio_responses.toml</file>
+        <file>openrouter_chat.toml</file>
+        <file>ollama_openai_chat.toml</file>
         <file>ollama_gemma4_e4b_chat.toml</file>
         <file>ollama_codellama_7b_code_fim.toml</file>
         <file>ollama_codellama_13b_qml_fim.toml</file>
+
         <file>claude_sonnet_chat.toml</file>
+        <file>claude_sonnet46_chat.toml</file>
+        <file>claude_haiku45_chat.toml</file>
+        <file>claude_opus_max.toml</file>
         <file>google_gemini_chat.toml</file>
     </qresource>
 </RCC>

sources/agents/anthropic_base_chat.toml

@@ -0,0 +1,19 @@
+schema_version = 1
+
+name        = "Anthropic Base Chat"
+description = "Anthropic Messages API request body (/v1/messages). Abstract — extend it and set model."
+abstract    = true
+extends     = "Chat Base"
+
+provider_instance = "Claude"
+endpoint          = "/v1/messages"
+enable_tools      = true
+tags = ["chat", "claude", "anthropic", "cloud"]
+
+[body]
+max_tokens  = 8192
+temperature = 1
+system   = """{% if existsIn(ctx, "system_prompt") %}{{ tojson(ctx.system_prompt) }}{% endif %}"""
+messages = """
+[ {% include "partials/anthropic_messages.jinja" %} ]
+"""

sources/agents/chat_base.toml

@@ -0,0 +1,16 @@
+schema_version = 1
+
+name        = "Chat Base"
+description = "Shared system prompt for coding-chat agents. Abstract — not selectable."
+abstract    = true
+
+system_prompt = """
+You are a helpful coding assistant integrated into Qt Creator.
+Answer concisely. Prefer concrete diffs or minimal patches over rewriting
+whole files. Use markdown code blocks with language tags.
+
+{% if file_exists("${PROJECT_DIR}/README.md") %}
+## Project README.md
+{{ read_file("${PROJECT_DIR}/README.md") }}
+{% endif %}
+"""

sources/agents/claude_haiku45_chat.toml

@@ -0,0 +1,14 @@
+schema_version = 1
+
+extends     = "Anthropic Base Chat"
+name        = "Claude Haiku 4.5 Chat"
+description = "Anthropic Claude Haiku 4.5 — fastest model with near-frontier intelligence; extended thinking (manual budget)."
+
+model = "claude-haiku-4-5-20251001"
+
+enable_thinking = true
+tags = ["chat", "claude", "anthropic", "cloud", "haiku", "fast"]
+
+[body]
+max_tokens = 16000
+thinking   = { type = "enabled", budget_tokens = 4096 }

sources/agents/claude_opus_max.toml

@@ -0,0 +1,15 @@
+schema_version = 1
+
+extends     = "Anthropic Base Chat"
+name        = "Claude Opus 4.8 Max"
+description = "Anthropic Claude Opus 4.8 at maximum capability — adaptive thinking at max effort, 128k max output."
+
+model = "claude-opus-4-8"
+
+enable_thinking = true
+tags = ["chat", "claude", "anthropic", "cloud", "opus", "max"]
+
+[body]
+max_tokens    = 128000
+thinking      = { type = "adaptive", display = "summarized" }
+output_config = { effort = "max" }

sources/agents/claude_sonnet46_chat.toml

@@ -0,0 +1,15 @@
+schema_version = 1
+
+extends     = "Anthropic Base Chat"
+name        = "Claude Sonnet 4.6 Chat"
+description = "Anthropic Claude Sonnet 4.6 — fast, capable coding chat with adaptive thinking."
+
+model = "claude-sonnet-4-6"
+
+enable_thinking = true
+tags = ["chat", "claude", "anthropic", "cloud", "sonnet"]
+
+[body]
+max_tokens    = 16000
+thinking      = { type = "adaptive", display = "summarized" }
+output_config = { effort = "high" }

sources/agents/claude_sonnet_chat.toml

@@ -1,77 +1,14 @@
 schema_version = 1
 
+extends     = "Anthropic Base Chat"
 name        = "Claude Sonnet Chat"
-description = "Anthropic Claude (Messages API) — coding chat assistant via the hosted Claude provider."
-
-provider_instance = "Claude"
-endpoint          = "/v1/messages"
+description = "Anthropic Claude Sonnet 4.6 (Messages API) — coding chat assistant with thinking."
 
 model = "claude-sonnet-4-6"
 
-role = """
-You are a helpful coding assistant integrated into Qt Creator.
-Answer concisely. When the user shares code, prefer concrete diffs or
-minimal patches over rewriting whole files. Use markdown code blocks
-with language tags so the IDE can render them.
-"""
-
 enable_thinking = true
-enable_tools    = true
-
 tags = ["chat", "claude", "anthropic", "cloud"]
 
-context = """
-{%- set readme = read_file("${PROJECT_DIR}/README.md") -%}
-{%- if length(readme) > 0 %}
-## Project README.md
-{{ readme }}
-{%- endif %}
-"""
-
-[template]
-message_format = """
-{
-  {%- if existsIn(ctx, "system_prompt") %}
-  "system": {{ tojson(ctx.system_prompt) }},
-  {%- endif %}
-  "messages": [
-    {%- for msg in ctx.history %}
-    {
-      "role": {{ tojson(msg.role) }},
-      "content": [
-        {%- for b in msg.content_blocks %}
-        {%- if b.type == "image" %}
-        {
-          "type": "image",
-          "source": {
-            {%- if b.is_url %}
-            "type": "url",
-            "url": {{ tojson(b.data) }}
-            {%- else %}
-            "type": "base64",
-            "media_type": {{ tojson(b.media_type) }},
-            "data": {{ tojson(b.data) }}
-            {%- endif %}
-          }
-        }{% if not loop.is_last %},{% endif %}
-        {%- else %}
-        {{ tojson(b) }}{% if not loop.is_last %},{% endif %}
-        {%- endif %}
-        {%- endfor %}
-      ]
-    }{% if not loop.is_last %},{% endif %}
-    {%- endfor %}
-  ]
-}
-"""
-
-[template.sampling]
-max_tokens  = 8192
-temperature = 1
-
-[template.thinking.overrides]
-temperature = 1
-
-[template.thinking.request_block.thinking]
-type          = "enabled"
-budget_tokens = 4096
+[body]
+max_tokens = 8192
+thinking   = { type = "enabled", budget_tokens = 4096 }

sources/agents/codestral_chat.toml

@@ -0,0 +1,11 @@
+schema_version = 1
+
+extends     = "OpenAI Base Chat"
+name        = "Codestral Chat"
+description = "Mistral Codestral (Chat Completions API) — coding chat assistant."
+
+provider_instance = "Codestral"
+endpoint          = "/v1/chat/completions"
+model             = "codestral-latest"
+
+tags = ["chat", "codestral", "mistral", "cloud"]

sources/agents/codestral_fim.toml

@@ -0,0 +1,19 @@
+schema_version = 1
+
+name        = "Codestral FIM"
+description = "Mistral Codestral fill-in-the-middle code completion (/v1/fim/completions)."
+
+provider_instance = "Mistral AI"
+endpoint          = "/v1/fim/completions"
+model             = "codestral-latest"
+
+enable_thinking = false
+enable_tools    = false
+tags = ["fim", "codestral", "mistral", "cloud", "completion"]
+
+[body]
+max_tokens  = 256
+temperature = 0.2
+stream      = true
+prompt      = """{{ tojson(ctx.prefix) }}"""
+suffix      = """{% if existsIn(ctx, "suffix") %}{{ tojson(ctx.suffix) }}{% endif %}"""

sources/agents/google_base_chat.toml

@@ -0,0 +1,20 @@
+schema_version = 1
+
+name        = "Google Base Chat"
+description = "Google Gemini generateContent request body. Abstract — extend it and set model/endpoint."
+abstract    = true
+extends     = "Chat Base"
+
+provider_instance = "Google AI"
+enable_tools      = true
+tags = ["chat", "gemini", "google", "cloud"]
+
+[body]
+system_instruction = """{% if existsIn(ctx, "system_prompt") %}{ "parts": [ { "text": {{ tojson(ctx.system_prompt) }} } ] }{% endif %}"""
+contents = """
+[ {% include "partials/google_contents.jinja" %} ]
+"""
+
+[body.generationConfig]
+maxOutputTokens = 8192
+temperature     = 1

sources/agents/google_gemini_chat.toml

@@ -1,79 +1,15 @@
 schema_version = 1
 
+extends     = "Google Base Chat"
 name        = "Gemini Chat"
-description = "Google Gemini (generateContent API) — coding chat assistant via the hosted Google AI provider."
+description = "Google Gemini 2.5 Flash (generateContent API) — coding chat with thinking."
 
-provider_instance = "Google AI"
-endpoint          = "/models/gemini-2.5-flash:streamGenerateContent?alt=sse"
-
-model = "gemini-2.5-flash"
-
-role = """
-You are a helpful coding assistant integrated into Qt Creator.
-Answer concisely. When the user shares code, prefer concrete diffs or
-minimal patches over rewriting whole files. Use markdown code blocks
-with language tags so the IDE can render them.
-"""
+endpoint = "/models/gemini-2.5-flash:streamGenerateContent?alt=sse"
+model    = "gemini-2.5-flash"
 
 enable_thinking = true
-enable_tools    = true
-
 tags = ["chat", "gemini", "google", "cloud"]
 
-context = """
-{%- set readme = read_file("${PROJECT_DIR}/README.md") -%}
-{%- if length(readme) > 0 %}
-## Project README.md
-{{ readme }}
-{%- endif %}
-"""
-
-[template]
-message_format = """
-{
-  {%- if existsIn(ctx, "system_prompt") %}
-  "system_instruction": { "parts": [{ "text": {{ tojson(ctx.system_prompt) }} }] },
-  {%- endif %}
-  "contents": [
-    {%- for msg in ctx.history %}
-    {
-      "role": {% if msg.role == "assistant" %}"model"{% else %}"user"{% endif %},
-      "parts": [
-        {%- for b in msg.content_blocks %}
-        {%- if b.type == "text" %}
-        { "text": {{ tojson(b.text) }} }
-        {%- else if b.type == "thinking" %}
-        { "text": {{ tojson(b.thinking) }}, "thought": true, "thoughtSignature": {{ tojson(b.signature) }} }
-        {%- else if b.type == "tool_use" %}
-        { "functionCall": { "name": {{ tojson(b.name) }}, "args": {{ tojson(b.input) }} } }
-        {%- else if b.type == "tool_result" %}
-        { "functionResponse": { "name": {{ tojson(b.name) }}, "response": { "result": {{ tojson(b.content) }} } } }
-        {%- else if b.type == "image" %}
-        {%- if b.is_url %}
-        { "file_data": { "mime_type": {{ tojson(b.media_type) }}, "file_uri": {{ tojson(b.data) }} } }
-        {%- else %}
-        { "inline_data": { "mime_type": {{ tojson(b.media_type) }}, "data": {{ tojson(b.data) }} } }
-        {%- endif %}
-        {%- else %}
-        { "text": "" }
-        {%- endif %}
-        {% if not loop.is_last %},{% endif %}
-        {%- endfor %}
-      ]
-    }{% if not loop.is_last %},{% endif %}
-    {%- endfor %}
-  ]
-}
-"""
-
-[template.sampling.generationConfig]
-maxOutputTokens = 8192
-temperature     = 1
-
-[template.thinking.request_block.generationConfig]
-temperature     = 1
+[body.generationConfig]
 maxOutputTokens = 16000
-
-[template.thinking.request_block.generationConfig.thinkingConfig]
-includeThoughts = true
-thinkingBudget  = 8192
+thinkingConfig  = { includeThoughts = true, thinkingBudget = 8192 }

sources/agents/llamacpp_chat.toml

@@ -0,0 +1,11 @@
+schema_version = 1
+
+extends     = "OpenAI Base Chat"
+name        = "llama.cpp Chat"
+description = "llama.cpp server (OpenAI-compatible Chat Completions) — local coding chat assistant."
+
+provider_instance = "llama.cpp"
+endpoint          = "/v1/chat/completions"
+model             = "llama"
+
+tags = ["chat", "llamacpp", "local"]

sources/agents/lmstudio_chat.toml

@@ -0,0 +1,11 @@
+schema_version = 1
+
+extends     = "OpenAI Base Chat"
+name        = "LM Studio Chat"
+description = "LM Studio (Chat Completions API) — local coding chat assistant."
+
+provider_instance = "LM Studio (Chat Completions)"
+endpoint          = "/v1/chat/completions"
+model             = "local-model"
+
+tags = ["chat", "lmstudio", "local"]

sources/agents/lmstudio_responses.toml

@@ -0,0 +1,11 @@
+schema_version = 1
+
+extends     = "OpenAI Responses Base"
+name        = "LM Studio Responses"
+description = "LM Studio (Responses API) — local coding chat assistant."
+
+provider_instance = "LM Studio (Responses API)"
+endpoint          = "/v1/responses"
+model             = "local-model"
+
+tags = ["chat", "lmstudio", "responses", "local"]

sources/agents/mistral_chat.toml

@@ -0,0 +1,11 @@
+schema_version = 1
+
+extends     = "OpenAI Base Chat"
+name        = "Mistral Chat"
+description = "Mistral Large (Chat Completions API) — coding chat assistant."
+
+provider_instance = "Mistral AI"
+endpoint          = "/v1/chat/completions"
+model             = "mistral-large-latest"
+
+tags = ["chat", "mistral", "cloud"]

sources/agents/mistral_medium_chat.toml

@@ -0,0 +1,11 @@
+schema_version = 1
+
+extends     = "OpenAI Base Chat"
+name        = "Mistral Medium Chat"
+description = "Mistral Medium 3.5 (Chat Completions API) — frontier coding/agentic chat."
+
+provider_instance = "Mistral AI"
+endpoint          = "/v1/chat/completions"
+model             = "mistral-medium-latest"
+
+tags = ["chat", "mistral", "medium", "cloud"]

sources/agents/mistral_reasoning_chat.toml

@@ -0,0 +1,12 @@
+schema_version = 1
+
+extends     = "OpenAI Base Chat"
+name        = "Mistral Reasoning Chat"
+description = "Mistral Magistral Medium — native chain-of-thought reasoning model."
+
+provider_instance = "Mistral AI"
+endpoint          = "/v1/chat/completions"
+model             = "magistral-medium-latest"
+
+enable_thinking = true
+tags = ["chat", "mistral", "reasoning", "cloud"]

sources/agents/ollama_base_chat.toml

@@ -1,44 +1,21 @@
 schema_version = 1
 
 name        = "Ollama Base Chat"
-description = "Shared base for Ollama /api/chat profiles."
-
-abstract = true
+description = "Ollama native /api/chat request body. Abstract — extend it and set model/options."
+abstract    = true
+extends     = "Chat Base"
 
 provider_instance = "Ollama (Native)"
 endpoint          = "/api/chat"
-
 tags = ["ollama", "local"]
 
-[template]
-message_format = """
-{
-  "messages": [
-    {%- if existsIn(ctx, "system_prompt") %}
-    {
-      "role": "system",
-      "content": {{ tojson(ctx.system_prompt) }}
-    }{% if length(ctx.history) > 0 %},{% endif %}
-    {%- endif %}
-    {%- for msg in ctx.history %}
-    {
-      "role": {{ tojson(msg.role) }},
-      "content": {{ tojson(msg.content) }}{% if existsIn(msg, "images") %},
-      "images": [
-        {%- for img in msg.images %}
-        {{ tojson(img.data) }}{% if not loop.is_last %},{% endif %}
-        {%- endfor %}
-      ]{% endif %}
-    }{% if not loop.is_last %},{% endif %}
-    {%- endfor %}
-  ]
-}
+[body]
+stream   = true
+messages = """
+[ {% include "partials/ollama_messages.jinja" %} ]
 """
 
-[template.sampling]
-stream = true
-
-[template.sampling.options]
+[body.options]
 num_predict = 2048
 temperature = 0.7
 keep_alive  = "5m"

sources/agents/ollama_base_fim.toml

@@ -1,30 +1,18 @@
 schema_version = 1
 
 name        = "Ollama FIM Base"
-description = "Shared base for Ollama native FIM (/api/generate) profiles."
-
-abstract = true
+description = "Ollama native /api/generate FIM request body. Abstract — extend it and set model/prompt."
+abstract    = true
 
 provider_instance = "Ollama (Native)"
 endpoint          = "/api/generate"
-
 tags = ["ollama", "local", "fim"]
 
-[template]
-message_format = """
-{
-  "prompt": {{ tojson(ctx.prefix) }},
-  "suffix": {{ tojson(ctx.suffix) }}
-  {%- if existsIn(ctx, "system_prompt") %},
-  "system": {{ tojson(ctx.system_prompt) }}
-  {%- endif %}
-}
-"""
-
-[template.sampling]
+[body]
 stream = true
+system = """{% if existsIn(ctx, "system_prompt") %}{{ tojson(ctx.system_prompt) }}{% endif %}"""
 
-[template.sampling.options]
+[body.options]
 num_predict = 512
 temperature = 0.2
 top_p       = 0.9

sources/agents/ollama_codellama_13b_qml_fim.toml

@@ -1,11 +1,9 @@
 schema_version = 1
 
+extends     = "Ollama FIM Base"
 name        = "Qt CodeLlama 13B QML FIM"
 description = "Local Qt-Company-tuned CodeLlama 13B for QML FIM completion."
 
-provider_instance = "Ollama (Native)"
-endpoint          = "/api/generate"
-
 model = "theqtcompany/codellama-13b-qml:latest"
 
 tags = ["fim", "ollama", "local", "codellama", "qml", "qt"]
@@ -13,28 +11,12 @@ tags = ["fim", "ollama", "local", "codellama", "qml", "qt"]
 [match]
 file_patterns = ["*.qml"]
 
-[template]
-message_format = """
-{
-  "prompt": {%- if existsIn(ctx, "suffix") and length(ctx.suffix) > 0 -%}
-    {{ tojson("<SUF>" + ctx.suffix + "<PRE>" + ctx.prefix + "<MID>") }}
-  {%- else -%}
-    {{ tojson("<PRE>" + ctx.prefix + "<MID>") }}
-  {%- endif %}
-  {%- if existsIn(ctx, "system_prompt") %},
-  "system": {{ tojson(ctx.system_prompt) }}
-  {%- endif %}
-}
-"""
+[body]
+prompt = """{% if existsIn(ctx, "suffix") and length(ctx.suffix) > 0 %}{{ tojson("<SUF>" + ctx.suffix + "<PRE>" + ctx.prefix + "<MID>") }}{% else %}{{ tojson("<PRE>" + ctx.prefix + "<MID>") }}{% endif %}"""
 
-[template.sampling]
-stream = true
-
-[template.sampling.options]
+[body.options]
 num_predict    = 500
 temperature    = 0
 top_p          = 1
 repeat_penalty = 1.05
-keep_alive  = "5m"
-
 stop = ["<SUF>", "<PRE>", "</PRE>", "</SUF>", "< EOT >", "\\end", "<MID>", "</MID>", "##"]

sources/agents/ollama_codellama_7b_code_fim.toml

@@ -1,11 +1,9 @@
 schema_version = 1
 
+extends     = "Ollama FIM Base"
 name        = "CodeLlama 7B Code FIM"
 description = "Local CodeLlama 7B (code variant) on Ollama, FIM completion via PRE/SUF/MID markers."
 
-provider_instance = "Ollama (Native)"
-endpoint          = "/api/generate"
-
 model = "codellama:7b-code"
 
 tags = ["fim", "ollama", "local", "codellama"]
@@ -13,22 +11,8 @@ tags = ["fim", "ollama", "local", "codellama"]
 [match]
 file_patterns = ["*.cpp", "*.cc", "*.cxx", "*.c", "*.h", "*.hpp", "*.hxx", "*.inl"]
 
-[template]
-message_format = """
-{
-  "prompt": {{ tojson("<PRE> " + ctx.prefix + " <SUF>" + ctx.suffix + " <MID>") }}
-  {%- if existsIn(ctx, "system_prompt") %},
-  "system": {{ tojson(ctx.system_prompt) }}
-  {%- endif %}
-}
-"""
+[body]
+prompt = """{{ tojson("<PRE> " + ctx.prefix + " <SUF>" + ctx.suffix + " <MID>") }}"""
 
-[template.sampling]
-stream = true
-
-[template.sampling.options]
-num_predict = 512
-temperature = 0.2
-top_p       = 0.9
-keep_alive  = "5m"
+[body.options]
 stop = ["<EOT>", "<PRE>", "<SUF>", "<MID>"]

sources/agents/ollama_gemma4_e4b_chat.toml

@@ -1,34 +1,16 @@
 schema_version = 1
 
-name    = "Ollama gemma4:e4b Chat"
-extends = "Ollama Base Chat"
-
+extends     = "Ollama Base Chat"
+name        = "Ollama gemma4:e4b Chat"
 description = "Local Gemma 4 E4B on Ollama /api/chat — coding chat assistant."
 
 model = "gemma4:e4b"
 
-role = """
-You are a helpful coding assistant integrated into Qt Creator.
-Answer concisely. When the user shares code, prefer concrete diffs or
-minimal patches over rewriting whole files. Use markdown code blocks
-with language tags so the IDE can render them.
-"""
-
 enable_thinking = true
 enable_tools    = true
-
 tags = ["chat", "ollama", "local", "gemma"]
 
-context = """
-{%- set readme      = read_file("${PROJECT_DIR}/README.md")        -%}
-
-{%- if length(readme) > 0 %}
-## Project README.md
-{{ readme }}
-{%- endif %}
-"""
-
-[template.sampling.options]
+[body.options]
 num_predict = 4096
 temperature = 1
 top_k       = 64

sources/agents/ollama_openai_chat.toml

@@ -0,0 +1,11 @@
+schema_version = 1
+
+extends     = "OpenAI Base Chat"
+name        = "Ollama (OpenAI-compatible) Chat"
+description = "Ollama via its OpenAI-compatible Chat Completions endpoint — local coding chat assistant."
+
+provider_instance = "Ollama (OpenAI-compatible)"
+endpoint          = "/v1/chat/completions"
+model             = "qwen2.5-coder"
+
+tags = ["chat", "ollama", "local"]

sources/agents/openai_base_chat.toml

@@ -0,0 +1,18 @@
+schema_version = 1
+
+name        = "OpenAI Base Chat"
+description = "OpenAI Chat Completions request body. Abstract — extend it and set provider/endpoint/model."
+abstract    = true
+extends     = "Chat Base"
+
+provider_instance = "OpenAI (Chat Completions)"
+endpoint          = "/chat/completions"
+enable_tools      = true
+tags = ["chat", "openai", "cloud"]
+
+[body]
+max_tokens  = 8192
+temperature = 0.7
+messages    = """
+[ {% include "partials/openai_messages.jinja" %} ]
+"""

sources/agents/openai_chat.toml

@@ -0,0 +1,7 @@
+schema_version = 1
+
+extends     = "OpenAI Base Chat"
+name        = "OpenAI Chat"
+description = "OpenAI Chat Completions — coding chat assistant (GPT-4o)."
+
+model = "gpt-4o"

sources/agents/openai_compatible_chat.toml

@@ -0,0 +1,10 @@
+schema_version = 1
+
+extends     = "OpenAI Base Chat"
+name        = "OpenAI Compatible Chat"
+description = "Any OpenAI-compatible Chat Completions endpoint — set the model to match your server."
+
+provider_instance = "OpenAI Compatible"
+model             = "default"
+
+tags = ["chat", "openai", "compatible"]

sources/agents/openai_responses.toml

@@ -0,0 +1,7 @@
+schema_version = 1
+
+extends     = "OpenAI Responses Base"
+name        = "OpenAI Responses"
+description = "OpenAI Responses API (/responses) — coding chat assistant."
+
+model = "gpt-4o"

sources/agents/openai_responses_base.toml

@@ -0,0 +1,19 @@
+schema_version = 1
+
+name        = "OpenAI Responses Base"
+description = "OpenAI Responses API request body (/responses). Abstract — extend it and set provider/endpoint/model."
+abstract    = true
+extends     = "Chat Base"
+
+provider_instance = "OpenAI (Responses API)"
+endpoint          = "/responses"
+enable_tools      = true
+tags = ["chat", "openai", "responses", "cloud"]
+
+[body]
+max_output_tokens = 8192
+temperature       = 0.7
+instructions = """{% if existsIn(ctx, "system_prompt") %}{{ tojson(ctx.system_prompt) }}{% endif %}"""
+input = """
+[ {% include "partials/openai_responses_input.jinja" %} ]
+"""

sources/agents/openrouter_chat.toml

@@ -0,0 +1,11 @@
+schema_version = 1
+
+extends     = "OpenAI Base Chat"
+name        = "OpenRouter Chat"
+description = "OpenRouter (OpenAI-compatible Chat Completions) — coding chat assistant."
+
+provider_instance = "OpenRouter"
+endpoint          = "/chat/completions"
+model             = "openai/gpt-4o"
+
+tags = ["chat", "openrouter", "cloud"]

sources/agents/partials/anthropic_image.jinja

@@ -0,0 +1,9 @@
+{
+  "type": "image",
+  "source":
+  {% if b.is_url %}
+  { "type": "url", "url": {{ tojson(b.data) }} }
+  {% else %}
+  { "type": "base64", "media_type": {{ tojson(b.media_type) }}, "data": {{ tojson(b.data) }} }
+  {% endif %}
+},

sources/agents/partials/anthropic_messages.jinja

@@ -0,0 +1,12 @@
+{% for msg in ctx.history %}
+{
+  "role": {{ tojson(msg.role) }},
+  "content": [
+    {% for b in msg.content_blocks %}
+      {% if b.type == "image" %}{% include "partials/anthropic_image.jinja" %}
+      {% else %}{{ tojson(b) }},
+      {% endif %}
+    {% endfor %}
+  ]
+},
+{% endfor %}

sources/agents/partials/google_contents.jinja

@@ -0,0 +1,6 @@
+{% for msg in ctx.history %}
+{
+  "role": {% if msg.role == "assistant" %}"model"{% else %}"user"{% endif %},
+  "parts": [ {% for b in msg.content_blocks %}{% include "partials/google_part.jinja" %}{% endfor %} ]
+},
+{% endfor %}

sources/agents/partials/google_part.jinja

@@ -0,0 +1,17 @@
+{% if b.type == "text" %}
+{ "text": {{ tojson(b.text) }} },
+{% else if b.type == "thinking" %}
+{ "text": {{ tojson(b.thinking) }}, "thought": true, "thoughtSignature": {{ tojson(b.signature) }} },
+{% else if b.type == "tool_use" %}
+{ "functionCall": { "name": {{ tojson(b.name) }}, "args": {{ tojson(b.input) }} } },
+{% else if b.type == "tool_result" %}
+{ "functionResponse": { "name": {{ tojson(b.name) }}, "response": { "result": {{ tojson(b.content) }} } } },
+{% else if b.type == "image" %}
+  {% if b.is_url %}
+  { "file_data": { "mime_type": {{ tojson(b.media_type) }}, "file_uri": {{ tojson(b.data) }} } },
+  {% else %}
+  { "inline_data": { "mime_type": {{ tojson(b.media_type) }}, "data": {{ tojson(b.data) }} } },
+  {% endif %}
+{% else %}
+{ "text": "" },
+{% endif %}

sources/agents/partials/ollama_messages.jinja

@@ -0,0 +1,16 @@
+{% if existsIn(ctx, "system_prompt") %}
+{ "role": "system", "content": {{ tojson(ctx.system_prompt) }} },
+{% endif %}
+{% for msg in ctx.history %}
+{
+  "role": {{ tojson(msg.role) }},
+  "content": {{ tojson(msg.content) }}
+  {% if existsIn(msg, "images") %}
+  , "images": [
+    {% for img in msg.images %}
+    {{ tojson(img.data) }},
+    {% endfor %}
+  ]
+  {% endif %}
+},
+{% endfor %}

sources/agents/partials/openai_assistant.jinja

@@ -0,0 +1,19 @@
+{% set tcalls = filter_by_type(msg.content_blocks, "tool_use") %}
+{
+  "role": "assistant",
+  "content": {{ tojson(msg.content) }}
+  {% if length(tcalls) > 0 %}
+  , "tool_calls": [
+    {% for b in tcalls %}
+    {
+      "id": {{ tojson(b.id) }},
+      "type": "function",
+      "function": {
+        "name": {{ tojson(b.name) }},
+        "arguments": {{ tojson(tojson(b.input)) }}
+      }
+    },
+    {% endfor %}
+  ]
+  {% endif %}
+},

sources/agents/partials/openai_image_content.jinja

@@ -0,0 +1,11 @@
+[
+  { "type": "text", "text": {{ tojson(msg.content) }} }
+  {% for img in msg.images %}
+  ,
+  {% if img.is_url %}
+  { "type": "image_url", "image_url": { "url": {{ tojson(img.data) }} } }
+  {% else %}
+  { "type": "image_url", "image_url": { "url": "data:{{ img.media_type }};base64,{{ img.data }}" } }
+  {% endif %}
+  {% endfor %}
+]

sources/agents/partials/openai_messages.jinja

@@ -0,0 +1,9 @@
+{% if existsIn(ctx, "system_prompt") %}
+{ "role": "system", "content": {{ tojson(ctx.system_prompt) }} },
+{% endif %}
+{% for msg in ctx.history %}
+  {% if msg.role == "assistant" %}{% include "partials/openai_assistant.jinja" %}
+  {% else if length(filter_by_type(msg.content_blocks, "tool_result")) > 0 %}{% include "partials/openai_tool_results.jinja" %}
+  {% else %}{% include "partials/openai_user.jinja" %}
+  {% endif %}
+{% endfor %}

sources/agents/partials/openai_responses_input.jinja

@@ -0,0 +1,30 @@
+{% for msg in ctx.history %}
+  {% if msg.role == "assistant" %}
+    {% if msg.content != "" %}
+    { "role": "assistant", "content": {{ tojson(msg.content) }} },
+    {% endif %}
+    {% for b in filter_by_type(msg.content_blocks, "tool_use") %}
+    { "type": "function_call", "call_id": {{ tojson(b.id) }}, "name": {{ tojson(b.name) }}, "arguments": {{ tojson(tojson(b.input)) }} },
+    {% endfor %}
+  {% else if length(filter_by_type(msg.content_blocks, "tool_result")) > 0 %}
+    {% for b in filter_by_type(msg.content_blocks, "tool_result") %}
+    { "type": "function_call_output", "call_id": {{ tojson(b.tool_use_id) }}, "output": {{ tojson(b.content) }} },
+    {% endfor %}
+  {% else %}
+    {% if existsIn(msg, "images") %}
+    { "role": "user", "content": [
+      { "type": "input_text", "text": {{ tojson(msg.content) }} }
+      {% for img in msg.images %}
+      ,
+      {% if img.is_url %}
+      { "type": "input_image", "detail": "auto", "image_url": {{ tojson(img.data) }} }
+      {% else %}
+      { "type": "input_image", "detail": "auto", "image_url": "data:{{ img.media_type }};base64,{{ img.data }}" }
+      {% endif %}
+      {% endfor %}
+    ] },
+    {% else %}
+    { "role": "user", "content": {{ tojson(msg.content) }} },
+    {% endif %}
+  {% endif %}
+{% endfor %}

sources/agents/partials/openai_tool_results.jinja

@@ -0,0 +1,3 @@
+{% for b in filter_by_type(msg.content_blocks, "tool_result") %}
+{ "role": "tool", "tool_call_id": {{ tojson(b.tool_use_id) }}, "content": {{ tojson(b.content) }} },
+{% endfor %}

sources/agents/partials/openai_user.jinja

@@ -0,0 +1,5 @@
+{% if existsIn(msg, "images") %}
+{ "role": "user", "content": {% include "partials/openai_image_content.jinja" %} },
+{% else %}
+{ "role": "user", "content": {{ tojson(msg.content) }} },
+{% endif %}