Work on AI related.

src/routes/journals/ae_comp__journal_entry_obj_id_view.svelte

@@ -10,7 +10,7 @@ import {
         BookHeart, Bot, BotMessageSquare, BriefcaseBusiness,
         CalendarClock, CalendarOff, Clock, CodeXml, Copy,
         Eye, EyeOff,
-        Flag, FlagOff, FileDown, FileX, Fingerprint,
+        Flag, FlagOff, FileDown, FilePenLine, FileText, FileX, Fingerprint,
         Globe, Group,
         Hash, History,
         Loader, LockKeyhole, LockKeyholeOpen,
@@ -333,6 +333,7 @@ async function update_journal_entry() {
         // alert_msg: $lq__journal_entry_obj?.alert_msg ? false : true
         alert_msg: tmp_entry_obj?.alert_msg,
         category_code: tmp_entry_obj?.category_code,
+        summary: tmp_entry_obj?.summary,
         content: tmp_entry_obj?.content,
         content_encrypted: null, // This should only be generated below.
         history: tmp_entry_obj?.history,
@@ -1780,6 +1781,23 @@ $effect(() => {
                     <span class="text-sm">
                         Show</span>
                 </button>
+                {:else if !$journals_sess?.entry?.show__ai_summary && $lq__journal_entry_obj?.summary}
+                <button
+                    type="button"
+                    onclick={() => {
+                        $journals_sess.entry.ai_summary = $lq__journal_entry_obj?.summary;
+                        $journals_sess.entry.show__ai_summary = true;
+                    }}
+                    class="
+                        btn btn-sm
+                        preset-outlined-warning-200-800
+                        transition-all
+                        "
+                    title="Show saved summary of this journal entry"
+                    >
+                    <FileText strokeWidth="1" class="inline-block mr-1" />
+                    Use Saved Summary
+                </button>
                 {/if}
             </div>
 
@@ -2105,68 +2123,84 @@ tabindex={$ae_loc.edit_mode ? 0 : -1} -->
             {/if}
         </button>
     {:else}
-        <button
+        {#if !$journals_sess?.entry?.show__ai_summary && $journals_sess?.entry?.ai_summary}
-            type="button"
+            <button
-            onclick={() => {
+                type="button"
-                const ai_client = new OpenAI({
+                onclick={() => {
-                    apiKey: $journals_loc?.llm__api_token,
+                    const ai_client = new OpenAI({
-                    baseURL: $journals_loc?.llm__api_base_url,
+                        apiKey: $journals_loc?.llm__api_token,
-                    dangerouslyAllowBrowser: $journals_loc?.llm__api_dangerous_browser,
+                        baseURL: $journals_loc?.llm__api_base_url,
+                        dangerouslyAllowBrowser: $journals_loc?.llm__api_dangerous_browser,
 
-                });
-
-                // let resp__models = ai_client.models.list();
-                // console.log('AI API Response (models)', resp__models);
-
-                // let msg_role_system_content = $journals_loc?.entry?.llm__system_prompt || 'You are a helpful assistant that helps people find information.';
-                // let msg_role_user_content = 'Why is the sky blue?';
-                let msg_role_user_content = tmp_entry_obj?.content;
-
-                try {
-                    ae_promises = ai_client.chat.completions.create(
-                        {
-                            model: $journals_loc?.llm__api_model,
-                            messages: [
-                                { role: 'system', content: $journals_loc?.entry?.llm__system_prompt || 'You are a helpful assistant that helps people find information.' },
-                                { role: "user", content: msg_role_user_content }
-                            ],
-                            // max_tokens: 512,
-                            // temperature: 0.7,
-                            // stream: true,
-                        }
-                    )
-                    .then ((resp__chat) => {
-                        console.log('AI API Response (chat)', resp__chat);
-                        console.log('AI API Response (chat)', resp__chat);
-
-                        console.log('resp msg 0 = ', resp__chat?.choices?.[0]?.message?.content);
-
-                        $journals_sess.entry.ai_summary = resp__chat?.choices?.[0]?.message?.content || 'No summary available';
-
-                        $journals_sess.entry.show__ai_summary = true;
-                        return;
                     });
 
+                    // let resp__models = ai_client.models.list();
+                    // console.log('AI API Response (models)', resp__models);
 
-                } catch (err) {
+                    // let msg_role_system_content = $journals_loc?.entry?.llm__system_prompt || 'You are a helpful assistant that helps people find information.';
-                    console.error('Error from chat completion:', err);
+                    // let msg_role_user_content = 'Why is the sky blue?';
-                    alert('Error from chat completion: ' + (err?.message || err));
+                    let msg_role_user_content = tmp_entry_obj?.content;
-                }
 
-            }}
+                    try {
-            class="btn btn-sm preset-tonal-primary hover:preset-filled-primary-500 transition-all absolute top-2 right-2 z-10"
+                        ae_promises = ai_client.chat.completions.create(
-            title="Generate AI summary of this journal entry"
+                            {
-            >
+                                model: $journals_loc?.llm__api_model,
-            {#await ae_promises}
+                                messages: [
-                <Loader class="inline-block mr-1 animate-spin" />
+                                    { role: 'system', content: $journals_loc?.entry?.llm__system_prompt || 'You are a helpful assistant that helps people find information.' },
-                <span class="text-sm">Summarizing...</span>
+                                    { role: "user", content: msg_role_user_content }
-            {:then}
+                                ],
-                <BotMessageSquare class="inline-block mr-1" />
+                                // max_tokens: 512,
-                <span class="text-sm">Summarize</span>
+                                // temperature: 0.7,
-            {:catch error}
+                                // stream: true,
-                <span class="text-sm">Error</span>
+                            }
-            {/await}
+                        )
-        </button>
+                        .then ((resp__chat) => {
+                            console.log('AI API Response (chat)', resp__chat);
+                            console.log('AI API Response (chat)', resp__chat);
+
+                            console.log('resp msg 0 = ', resp__chat?.choices?.[0]?.message?.content);
+
+                            $journals_sess.entry.ai_summary = resp__chat?.choices?.[0]?.message?.content || 'No summary available';
+
+                            $journals_sess.entry.show__ai_summary = true;
+                            return;
+                        });
+
+
+                    } catch (err) {
+                        console.error('Error from chat completion:', err);
+                        alert('Error from chat completion: ' + (err?.message || err));
+                    }
+                }}
+                class="btn btn-sm preset-tonal-primary hover:preset-filled-primary-500 transition-all absolute top-2 right-2 z-10"
+                title="Generate AI summary of this journal entry"
+                >
+                {#await ae_promises}
+                    <Loader class="inline-block mr-1 animate-spin" />
+                    <span class="text-sm">Summarizing...</span>
+                {:then}
+                    <BotMessageSquare class="inline-block mr-1" />
+                    <span class="text-sm">Summarize</span>
+                {:catch error}
+                    <span class="text-sm">Error</span>
+                {/await}
+            </button>
+        {:else if !$journals_sess?.entry?.show__ai_summary && $lq__journal_entry_obj?.summary}
+            <button
+                type="button"
+                onclick={() => {
+                    $journals_sess.entry.ai_summary = $lq__journal_entry_obj?.summary;
+                    $journals_sess.entry.show__ai_summary = true;
+                }}
+                class="
+                    btn btn-sm preset-tonal-primary hover:preset-filled-primary-500 transition-all absolute top-2 right-2 z-10
+                    "
+                title="Show saved summary of this journal entry"
+                >
+                <FileText strokeWidth="1" class="inline-block mr-1" />
+                Use Saved Summary
+            </button>
+        {/if}
 
     {/if}
 
@@ -2686,12 +2720,27 @@ zzzz
     class="top-center bg-white dark:bg-gray-800 text-gray-800 dark:text-gray-200 rounded-lg border-gray-200 dark:border-gray-700 divide-gray-200 dark:divide-gray-700 shadow-md relative mx-auto w-full divide-y"
     >
     <div class="modal-box flex flex-col gap-2 items-center justify-center">
+    <div class="flex flex-row flex-wrap gap-1 items-center justify-center w-full mb-2">
+
+    <button
+        type="button"
+        class="btn btn-sm preset-tonal-success hover:preset-filled-success-500 transition-all"
+        onclick={() => {
+            tmp_entry_obj.summary = $journals_sess?.entry?.ai_summary || '';
+            update_journal_entry();
+        }}
+        title="Save AI summary as Journal Entry summary"
+        >
+        <Save strokeWidth="1" class="inline-block mr-1" />
+        Save
+    </button>
+
     <button
         type="button"
         onclick={() => {
             $journals_sess.entry.show__ai_summary = !$journals_sess.entry.show__ai_summary;
         }}
-        class="btn btn-sm preset-tonal-primary hover:preset-filled-primary-500 transition *:hover:inline"
+        class="btn btn-sm preset-tonal-primary hover:preset-filled-primary-500 transition-all"
         title="Toggle AI Summary"
         >
         <Bot class="inline-block mr-1" />
@@ -2703,13 +2752,117 @@ zzzz
         {/if}
     </button>
 
+    <button
+        type="button"
+        onclick={async () => {
+            const ai_client = new OpenAI({
+                apiKey: $journals_loc?.llm__api_token,
+                baseURL: $journals_loc?.llm__api_base_url,
+                dangerouslyAllowBrowser: $journals_loc?.llm__api_dangerous_browser,
+
+            });
+
+            // let resp__models = ai_client.models.list();
+            // console.log('AI API Response (models)', resp__models);
+
+            // let msg_role_system_content = $journals_loc?.entry?.llm__system_prompt || 'You are a helpful assistant that helps people find information.';
+            // let msg_role_user_content = 'Why is the sky blue?';
+            let msg_role_user_content = tmp_entry_obj?.content;
+
+            try {
+                ae_promises = ai_client.chat.completions.create(
+                    {
+                        model: $journals_loc?.llm__api_model,
+                        messages: [
+                            { role: 'system', content: $journals_loc?.entry?.llm__system_prompt || 'You are a helpful assistant that helps people find information.' },
+                            { role: "user", content: msg_role_user_content }
+                        ],
+                        // max_tokens: 512,
+                        // temperature: 0.7,
+                        // stream: true,
+                    }
+                )
+                .then ((resp__chat) => {
+                    console.log('AI API Response (chat)', resp__chat);
+                    console.log('AI API Response (chat)', resp__chat);
+
+                    console.log('resp msg 0 = ', resp__chat?.choices?.[0]?.message?.content);
+
+                    $journals_sess.entry.ai_summary = resp__chat?.choices?.[0]?.message?.content || 'No summary available';
+
+                    // $journals_sess.entry.show__ai_summary = true;
+                    return;
+                });
+
+
+            } catch (err) {
+                console.error('Error from chat completion:', err);
+                alert('Error from chat completion: ' + (err?.message || err));
+            }
+
+        }}
+        class="
+            btn btn-sm
+            preset-outlined-warning-200-800
+            transition-all
+        "
+        title="Generate AI summary of this journal entry"
+        >
+        {#await ae_promises}
+            <Loader class="inline-block mr-1 animate-spin" />
+            <span class="text-sm">Summarizing...</span>
+        {:then}
+            <BotMessageSquare class="inline-block mr-1" />
+            <span class="text-sm">Re-Summarize</span>
+        {:catch error}
+            <span class="text-sm">Error</span>
+        {/await}
+    </button>
+
+    <!-- Change System Prompt: -->
+    <button
+        type="button"
+        class="btn btn-sm preset-outlined-primary-400-600 hover:preset-filled-secondary-500 transition"
+        onclick={() => {
+            $journals_sess.entry.hide__ai_summary = !$journals_sess.entry.hide__ai_summary;
+        }}
+        >
+        <FilePenLine strokeWidth="1.5" class="inline-block mr-1" />
+        Prompt
+    </button>
+
+    <label
+        class:hidden={!$journals_sess.entry.hide__ai_summary}
+        class="flex flex-col items-start justify-start gap-1 h-24"
+        >
+        LLM System Prompt for Journal Entry summarization:
+        <E_app_codemirror_v5
+            editable={true}
+            readonly={false}
+            content={$journals_loc?.entry?.llm__system_prompt}
+            bind:new_content={$journals_loc.entry.llm__system_prompt}
+            show_line_numbers={false}
+            placeholder="LLM System Prompt"
+            class="
+                p-1
+                preset-outlined-success-400-600
+                shadow-lg rounded-lg
+                "
+            on:change={(e) => {
+                $journals_loc.entry.llm__system_prompt = e.detail;
+            }}
+            />
+    </label>
+
+    </div>
+
     <!-- <pre class="text-wrap">
     {@html $journals_sess.entry.ai_summary}
     </pre> -->
 
     <E_app_codemirror_v5
-        editable={false}
+        editable={true}
-        readonly={true}
+        readonly={false}
         content={$journals_sess.entry.ai_summary ?? ''}
         bind:new_content={$journals_sess.entry.ai_summary}
         bind:theme_mode={$ae_loc.theme_mode}

src/routes/journals/modal_journals_config.svelte

@@ -23,7 +23,7 @@ import {
         MessageSquareWarning, Minus,
         Notebook,
         Pencil, Plus,
-        RemoveFormatting,
+        RefreshCcw, RemoveFormatting,
         SquareLibrary,
         Shapes, Share2, ShieldCheck, ShieldMinus, Siren, Skull,
         Tags, Target, ToggleLeft, ToggleRight, Trash2, TypeOutline,
@@ -31,8 +31,9 @@ import {
     } from '@lucide/svelte';
 import { Modal } from 'flowbite-svelte';
 
-import E_app_codemirror_v5 from '$lib/e_app_codemirror_v5.svelte';
+import { ae_snip, ae_loc, ae_sess, ae_api, ae_trig, slct, slct_trigger } from '$lib/ae_stores';
 import { journals_loc, journals_sess, journals_slct, journals_prom, journals_trig } from '$lib/ae_journals/ae_journals_stores';
+import E_app_codemirror_v5 from '$lib/e_app_codemirror_v5.svelte';
 
 </script>
 
@@ -208,6 +209,23 @@ import { journals_loc, journals_sess, journals_slct, journals_prom, journals_tri
 
         <h3 class="font-semibold">LLM AI:</h3>
 
+        <button
+            type="button"
+            class="btn btn-sm preset-outlined-primary-400-600"
+            onclick={() => {
+                $journals_loc.llm__api_base_url = $ae_loc.site_cfg_json?.llm__api_base_url ?? 'https://ai.dgrzone.com/api';
+                $journals_loc.llm__api_model = $ae_loc.site_cfg_json?.llm__api_model ?? 'dgrzone-deepseek-8b-quick';
+                $journals_loc.llm__api_token = $ae_loc.site_cfg_json?.llm__api_token ?? '';
+                $journals_loc.llm__api_dangerous_browser = $ae_loc.site_cfg_json?.llm__api_dangerous_browser ?? false;
+                $journals_loc.entry.llm__system_prompt = $ae_loc.site_cfg_json?.llm__system_prompt ?? '';
+
+
+            }}
+            >
+            <Copy class="inline-block mr-1" />
+            LLM from Site Cfg
+        </button>
+
         <!-- llm__api_base_url - default 'https://ai.dgrzone.com/api'; input url -->
         <label class="flex items-center justify-start gap-1">
             LLM API Base URL:
@@ -288,7 +306,7 @@ import { journals_loc, journals_sess, journals_slct, journals_prom, journals_tri
         </label>
 
         <label class="flex flex-col items-start justify-start gap-1 h-24">
-            LLM System Prompt:
+            LLM System Prompt for Journal Entry summarization:
             <E_app_codemirror_v5
                 editable={true}
                 readonly={false}
@@ -307,6 +325,18 @@ import { journals_loc, journals_sess, journals_slct, journals_prom, journals_tri
                 />
         </label>
 
+        <button
+            type="button"
+            class="btn btn-sm preset-outlined-primary-400-600"
+            onclick={() => {
+                let default_system_prompt = 'Summarize the following journal entry content in a concise manner, focusing on key points and insights.';
+                $journals_loc.entry.llm__system_prompt = default_system_prompt;
+            }}
+            >
+            <RefreshCcw class="inline-block mr-1" />
+            Reset to Journal Entry System Prompt
+        </button>
+
     </div>
 </div>