${group.fields
.map((field) =>
- _renderGenerationField(field, state.profile.generation?.[field.key]),
+ _renderGenerationField(
+ field,
+ state.profile.generation?.[field.key],
+ state,
+ ),
)
.join("")}
@@ -4552,6 +4568,14 @@ function _renderTaskDebugLlmCard(taskType, llmRequest) {
能力过滤模式
${_escHtml(llmRequest.capabilityMode || "—")}
@@ -4577,6 +4601,13 @@ function _renderTaskDebugLlmCard(taskType, llmRequest) {
${_renderDebugDetails("发送前输入清洗", llmRequest.requestCleaning || null)}
${_renderDebugDetails("实际请求路径", llmRequest.effectiveRoute || null)}
${_renderDebugDetails("输出清洗", llmRequest.responseCleaning || null)}
+ ${_renderDebugDetails("API 配置解析", {
+ llmConfigSource: llmRequest.llmConfigSource || "",
+ llmConfigSourceLabel: llmRequest.llmConfigSourceLabel || "",
+ requestedLlmPresetName: llmRequest.requestedLlmPresetName || "",
+ llmPresetName: llmRequest.llmPresetName || "",
+ llmPresetFallbackReason: llmRequest.llmPresetFallbackReason || "",
+ })}
${_renderDebugDetails("实际保留参数", llmRequest.filteredGeneration || {})}
${_renderDebugDetails("被过滤掉的参数", llmRequest.removedGeneration || [])}
${_renderDebugDetails("最终消息列表", llmRequest.messages || [])}
@@ -4884,9 +4915,62 @@ function _renderTaskBlockEditor(state) {
`;
}
-function _renderGenerationField(field, value) {
+function _renderGenerationField(field, value, state = {}) {
const effectiveValue = (value != null && value !== "") ? value : field.defaultValue;
+ if (field.type === "llm_preset") {
+ const presetMap =
+ state?.settings && typeof state.settings === "object"
+ ? state.settings.llmPresets || {}
+ : {};
+ const presetNames = Object.keys(presetMap).sort((left, right) =>
+ left.localeCompare(right, "zh-Hans-CN"),
+ );
+ const currentValue = String(effectiveValue || "");
+ const hasCurrentPreset =
+ !currentValue || presetNames.includes(currentValue);
+ const currentLabel = !currentValue
+ ? "跟随当前 API"
+ : hasCurrentPreset
+ ? currentValue
+ : `${currentValue}（已丢失，将回退当前 API）`;
+ const options = [
+ {
+ value: "",
+ label: "跟随当前 API",
+ },
+ ...(!currentValue || hasCurrentPreset
+ ? []
+ : [{ value: currentValue, label: currentLabel }]),
+ ...presetNames.map((name) => ({
+ value: name,
+ label: name,
+ })),
+ ];
+
+ return `
+
+
+
+ ${field.help ? `
${_escHtml(field.help)}
` : ""}
+
+ `;
+ }
+
if (field.type === "tri_bool") {
const currentValue =
effectiveValue === true ? "true" : effectiveValue === false ? "false" : "";
@@ -5746,6 +5830,8 @@ function _normalizeLlmPresetSettings(settings = _getSettings?.() || {}) {
return _patchSettings({
llmPresets: normalized.presets,
llmActivePreset: normalized.activePreset,
+ }, {
+ refreshTaskWorkspace: true,
});
}
diff --git a/prompt-profiles.js b/prompt-profiles.js
index 8cedb9e..9cad9e9 100644
--- a/prompt-profiles.js
+++ b/prompt-profiles.js
@@ -871,6 +871,7 @@ function createFallbackDefaultTaskProfile(taskType) {
updatedAt: nowIso(),
blocks: buildDefaultTaskProfileBlocks(taskType),
generation: {
+ llm_preset: "",
max_context_tokens: null,
max_completion_tokens: null,
reply_count: null,
diff --git a/tests/llm-preset-utils.mjs b/tests/llm-preset-utils.mjs
index 0577c74..7d5f3c1 100644
--- a/tests/llm-preset-utils.mjs
+++ b/tests/llm-preset-utils.mjs
@@ -1,12 +1,40 @@
import assert from "node:assert/strict";
import {
+ createLlmConfigSnapshot,
isSameLlmConfigSnapshot,
+ isUsableLlmConfigSnapshot,
normalizeLlmPresetMap,
+ resolveLlmConfigSelection,
resolveActiveLlmPresetName,
sanitizeLlmPresetSettings,
} from "../llm-preset-utils.js";
+assert.deepEqual(createLlmConfigSnapshot({
+ llmApiUrl: " https://example.com/v1 ",
+ llmApiKey: " sk-test ",
+ llmModel: " model-a ",
+}), {
+ llmApiUrl: "https://example.com/v1",
+ llmApiKey: "sk-test",
+ llmModel: "model-a",
+});
+
+assert.equal(
+ isUsableLlmConfigSnapshot({
+ llmApiUrl: "https://example.com/v1",
+ llmModel: "model-a",
+ }),
+ true,
+);
+assert.equal(
+ isUsableLlmConfigSnapshot({
+ llmApiUrl: "",
+ llmModel: "model-a",
+ }),
+ false,
+);
+
assert.equal(
isSameLlmConfigSnapshot(
{
@@ -131,4 +159,71 @@ const noMatchSettings = {
};
assert.equal(resolveActiveLlmPresetName(noMatchSettings), "");
+const taskPresetSelection = resolveLlmConfigSelection(
+ uniqueMatchSettings,
+ "Alpha",
+);
+assert.equal(taskPresetSelection.source, "task-preset");
+assert.equal(taskPresetSelection.presetName, "Alpha");
+assert.deepEqual(taskPresetSelection.config, {
+ llmApiUrl: "https://example.com/v1",
+ llmApiKey: "sk-alpha",
+ llmModel: "model-a",
+});
+
+const globalSelection = resolveLlmConfigSelection(
+ uniqueMatchSettings,
+ "",
+);
+assert.equal(globalSelection.source, "global");
+assert.equal(globalSelection.presetName, "");
+
+const missingTaskPresetSelection = resolveLlmConfigSelection(
+ uniqueMatchSettings,
+ "Missing",
+);
+assert.equal(
+ missingTaskPresetSelection.source,
+ "global-fallback-missing-task-preset",
+);
+assert.equal(missingTaskPresetSelection.requestedPresetName, "Missing");
+assert.equal(
+ missingTaskPresetSelection.fallbackReason,
+ "selected_task_preset_missing",
+);
+assert.deepEqual(missingTaskPresetSelection.config, {
+ llmApiUrl: "https://example.com/v1",
+ llmApiKey: "sk-alpha",
+ llmModel: "model-a",
+});
+
+const invalidTaskPresetSelection = resolveLlmConfigSelection(
+ {
+ llmApiUrl: "https://global.example/v1",
+ llmApiKey: "sk-global",
+ llmModel: "model-global",
+ llmPresets: {
+ Broken: {
+ llmApiUrl: "",
+ llmApiKey: "sk-broken",
+ llmModel: "",
+ },
+ },
+ },
+ "Broken",
+);
+assert.equal(
+ invalidTaskPresetSelection.source,
+ "global-fallback-invalid-task-preset",
+);
+assert.equal(
+ invalidTaskPresetSelection.fallbackReason,
+ "selected_task_preset_incomplete",
+);
+assert.deepEqual(invalidTaskPresetSelection.config, {
+ llmApiUrl: "https://global.example/v1",
+ llmApiKey: "sk-global",
+ llmModel: "model-global",
+});
+
console.log("llm-preset-utils tests passed");
diff --git a/tests/task-profile-storage.mjs b/tests/task-profile-storage.mjs
index 15ce663..58bad98 100644
--- a/tests/task-profile-storage.mjs
+++ b/tests/task-profile-storage.mjs
@@ -15,11 +15,13 @@ import {
const taskProfiles = createDefaultTaskProfiles();
const baseProfile = taskProfiles.extract.profiles[0];
+assert.equal(baseProfile.generation.llm_preset, "");
const clonedProfile = cloneTaskProfile(baseProfile, {
taskType: "extract",
name: "激进提取",
});
+clonedProfile.generation.llm_preset = "Recall-API";
clonedProfile.blocks = [
...clonedProfile.blocks,
createBuiltinPromptBlock("extract", "userMessage", {
@@ -65,6 +67,7 @@ assert.ok(customBlock);
assert.equal(customBlock.role, "user");
assert.equal(activeProfile.regex.localRules.length, 1);
assert.equal(activeProfile.regex.localRules[0].script_name, "裁边");
+assert.equal(activeProfile.generation.llm_preset, "Recall-API");
const exported = exportTaskProfile(
updatedProfiles,
@@ -74,10 +77,12 @@ const exported = exportTaskProfile(
assert.equal(exported.format, "st-bme-task-profile");
assert.equal(exported.taskType, "extract");
assert.equal(exported.profile.name, "激进提取");
+assert.equal(exported.profile.generation.llm_preset, "Recall-API");
const imported = importTaskProfile(updatedProfiles, JSON.stringify(exported));
assert.equal(imported.taskType, "extract");
assert.notEqual(imported.profile.id, clonedProfile.id);
+assert.equal(imported.profile.generation.llm_preset, "Recall-API");
assert.ok(
imported.profile.blocks.some(
(block) => block.type === "builtin" && block.sourceKey === "userMessage",