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Add dbn-legal-agent to deep-research and advocate pipelines

Browse Source 
- interpretSeed: uses dbn-legal-agent for Norwegian/advocate queries
- expandQueries: uses dbn-legal-agent for Norwegian sub-question generation
- synthesise: adds dbn_legal engine option (dbn-legal-agent via LiteLLM GPU)
- advocate.php: adds Norwegian specialist radio button in engine selector

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
This commit is contained in:
davegilligan
2026-05-15 19:12:19 +02:00
parent a61329eb85
commit 0ff4eb6d31
2 changed files with 37 additions and 11 deletions
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advocate.php
+2 -1
View File
@@ -39,8 +39,9 @@ require_once __DIR__ . '/includes/layout.php';
<label><input type="radio" name="advEngine" value="azure_mini" checked> Azure gpt-4o-mini &#9733; <small class="control-hint">(~15-45s)</small></label>
<label><input type="radio" name="advEngine" value="azure_full"> Azure gpt-4o <small class="control-hint">(best · ~60-180s)</small></label>
<label><input type="radio" name="advEngine" value="gpu"> GPU (cuttlefish) <small class="control-hint">(local · ~30-90s)</small></label>
<label><input type="radio" name="advEngine" value="dbn_legal"> &#x1F1F3;&#x1F1F4; Norwegian specialist <small class="control-hint">(dbn-legal-agent · ~40-90s)</small></label>
</div>
<p class="upload-hint">Azure mini finishes fastest. Azure full produces the most thorough advocate brief. GPU keeps everything inside the BNL fleet.</p>
<p class="upload-hint">Azure mini finishes fastest. Azure full produces the most thorough advocate brief. Norwegian specialist uses a fine-tuned Norwegian law model for the synthesis — best for Barneloven, barnevern, and ECHR family law cases.</p>
<div class="dr-slice-section">
<p class="control-label">Corpus slices</p>
includes/DeepResearchAgent.php
+35 -10
View File
@@ -431,10 +431,18 @@ In {$locale}, produce JSON with:
PROMPT;
try {
$raw = $this->azure->chatText([
['role' => 'system', 'content' => 'You return valid JSON only. No markdown fences.'],
['role' => 'user', 'content' => $prompt],
], ['json' => true, 'temperature' => 0.1, 'max_tokens' => 400, 'timeout' => 30]);
$sysMsg = ['role' => 'system', 'content' => 'You return valid JSON only. No markdown fences.'];
$userMsg = ['role' => 'user', 'content' => $prompt];
if ($language === 'no' || $advocateRole !== '') {
$resp = dbnToolsCallGpuLlm([$sysMsg, $userMsg], [
'model' => 'dbn-legal-agent', 'json' => true,
'temperature' => 0.1, 'max_tokens' => 400, 'timeout' => 40,
]);
$raw = (string)($resp['choices'][0]['message']['content'] ?? '');
} else {
$raw = $this->azure->chatText([$sysMsg, $userMsg],
['json' => true, 'temperature' => 0.1, 'max_tokens' => 400, 'timeout' => 30]);
}
$json = $this->azure->decodeJsonObject($raw);
if (is_array($json) && !empty($json['brief'])) {
$signals = $json['key_signals'] ?? [];
@@ -514,10 +522,18 @@ PROMPT;
}
try {
$raw = $this->azure->chatText([
['role' => 'system', 'content' => 'You return valid JSON only. No markdown fences.'],
['role' => 'user', 'content' => $prompt],
], ['json' => true, 'temperature' => 0.2, 'max_tokens' => 700, 'timeout' => 35]);
$sysMsg = ['role' => 'system', 'content' => 'You return valid JSON only. No markdown fences.'];
$userMsg = ['role' => 'user', 'content' => $prompt];
if ($language === 'no') {
$resp = dbnToolsCallGpuLlm([$sysMsg, $userMsg], [
'model' => 'dbn-legal-agent', 'json' => true,
'temperature' => 0.2, 'max_tokens' => 700, 'timeout' => 50,
]);
$raw = (string)($resp['choices'][0]['message']['content'] ?? '');
} else {
$raw = $this->azure->chatText([$sysMsg, $userMsg],
['json' => true, 'temperature' => 0.2, 'max_tokens' => 700, 'timeout' => 35]);
}
$json = $this->azure->decodeJsonObject($raw);
$items = is_array($json['sub_questions'] ?? null) ? $json['sub_questions'] : [];
$normalized = [];
@@ -866,7 +882,12 @@ PROMPT;
'what_remains_uncertain' => ['No corpus evidence retrieved for the given query and slice selection.'],
'next_practical_step' => 'Try widening slice selection or rephrasing with more specific statutory or party terms.',
],
'deploy_label' => $engine === 'gpu' ? 'GPU (cuttlefish)' : ($engine === 'azure_full' ? 'gpt-4o' : $this->azure->chatDeployment()),
'deploy_label' => match($engine) {
'gpu' => 'GPU (cuttlefish)',
'dbn_legal' => 'dbn-legal-agent',
'azure_full'=> 'gpt-4o',
default => $this->azure->chatDeployment(),
},
];
}
@@ -976,7 +997,11 @@ PROMPT;
$opts = ['json' => true, 'temperature' => $temperature, 'max_tokens' => 3200, 'timeout' => 180];
try {
if ($engine === 'gpu') {
if ($engine === 'dbn_legal') {
$response = dbnToolsCallGpuLlm($messages, array_merge($opts, ['model' => 'dbn-legal-agent', 'timeout' => 180]));
$deployLabel = 'dbn-legal-agent';
$raw = (string)($response['choices'][0]['message']['content'] ?? '');
} elseif ($engine === 'gpu') {
$response = dbnToolsCallGpuLlm($messages, $opts);
$deployLabel = 'GPU (cuttlefish)';
$raw = (string)($response['choices'][0]['message']['content'] ?? '');