llm-requests: render DTL payloads (Kimi system-tools, Anthropic tool-reference)
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This commit is contained in:
2026-07-24 21:22:49 +01:00
parent db6e395c11
commit ccd6e4fbea
5 changed files with 201 additions and 39 deletions
+112 -39
View File
@@ -73,6 +73,14 @@ function extractTools(req) {
return req?.tools ?? [];
}
// DTL (Anthropic): the system blocks may carry `cache_control` (the prompt
// cache breakpoint active exactly when DTL is on). Surfaced as a badge on the
// System section.
function systemHasCache(req) {
if (!req || !Array.isArray(req.system)) return false;
return req.system.some(b => b && b.cache_control != null);
}
function extractRespBlocks(resp) {
if (!resp) return [];
if (Array.isArray(resp.content)) return resp.content; // Anthropic
@@ -110,30 +118,63 @@ function paramsPreview(input) {
}
function normalizeToolResultContent(block) {
if (Array.isArray(block.content))
return block.content.map(b => b.text ?? JSON.stringify(b)).join('\n');
if (Array.isArray(block.content)) {
// DTL: Anthropic `tool_reference` blocks are rendered separately as a
// "loads" list inside the tool_use block; keep only the textual parts here.
const parts = block.content
.filter(b => b.type !== 'tool_reference')
.map(b => b.text ?? JSON.stringify(b));
return parts.join('\n');
}
if (typeof block.content === 'string') return block.content;
return JSON.stringify(block.content ?? '');
}
// DTL: tool names an Anthropic `tool_result` activates via `tool_reference`
// content blocks (an `activate_tools` result in AnthropicToolReference mode).
function extractToolReferences(block) {
if (!Array.isArray(block.content)) return [];
return block.content
.filter(b => b.type === 'tool_reference')
.map(b => b.tool_name)
.filter(Boolean);
}
// DTL flags carried on a tool definition. Anthropic-native objects put
// `defer_loading` and `cache_control` at the top level; OpenAI-shaped objects
// (pre-conversion) may carry `defer_loading` on the top-level tool object too.
function extractToolFlags(td) {
return {
deferred: td.defer_loading === true,
cached: td.cache_control != null,
};
}
function buildToolResultMap(msgs) {
const map = new Map(); // tool_use_id → { content, is_error }
const map = new Map(); // tool_use_id → { content, is_error, references }
for (const msg of msgs) {
// Anthropic format: tool_result blocks inside user message content
for (const block of contentBlocks(msg)) {
if (block.type === 'tool_result') {
map.set(block.tool_use_id, {
content: normalizeToolResultContent(block),
is_error: !!block.is_error,
content: normalizeToolResultContent(block),
is_error: !!block.is_error,
references: extractToolReferences(block),
});
}
}
// OpenAI format: role='tool' messages carry the result directly
// OpenAI format: role='tool' messages carry the result directly.
// The pre-conversion `_tool_references` marker (set by the message builder
// in AnthropicToolReference mode) is handled defensively — most captured
// Anthropic bodies are already converted to native tool_result blocks.
if (msg.role === 'tool' && msg.tool_call_id) {
const references = Array.isArray(msg._tool_references)
? msg._tool_references.filter(r => typeof r === 'string')
: [];
const content = typeof msg.content === 'string'
? msg.content
: (Array.isArray(msg.content) ? msg.content.map(b => b.text ?? JSON.stringify(b)).join('\n') : JSON.stringify(msg.content ?? ''));
map.set(msg.tool_call_id, { content, is_error: false });
map.set(msg.tool_call_id, { content, is_error: false, references });
}
}
return map;
@@ -346,11 +387,13 @@ export class LlmRequestDetail extends LightElement {
const args = block.input != null ? JSON.stringify(block.input, null, 2) : '{}';
const preview = paramsPreview(block.input);
const result = toolResultMap?.get(block.id);
const refs = result?.references ?? [];
return html`
<div class="llmr-tool-block llmr-tool-block--use ${result?.is_error ? 'llmr-tool-block--error' : ''}">
<div class="llmr-tool-block-header" @click=${() => this._toggleToolExpand(key)}>
<i class="bi bi-wrench"></i>
<span class="llmr-tool-name">${block.name}</span>
${refs.length ? html`<span class="llmr-tool-dtl-badge"><i class="bi bi-box-arrow-in-down"></i> ${t('llmr.detail.tool_reference_loads', { n: refs.length })}</span>` : nothing}
${preview ? html`<span class="llmr-tool-preview">${preview}</span>` : nothing}
<span class="llmr-tool-toggle ms-auto">
<i class="bi bi-${open ? 'dash' : 'plus'}-circle"></i>
@@ -364,7 +407,12 @@ export class LlmRequestDetail extends LightElement {
<div class="llmr-tool-section-label llmr-tool-section-label--result">
${t('llmr.detail.tool_result')} ${result.is_error ? html`<span class="badge bg-danger ms-1">${t('llmr.detail.error_badge')}</span>` : nothing}
</div>
<pre class="llmr-tool-pre">${result.content}</pre>
${result.content ? html`<pre class="llmr-tool-pre">${result.content}</pre>` : nothing}
${refs.length ? html`
<div class="llmr-tool-refs">
${refs.map(r => html`<span class="llmr-tool-ref"><i class="bi bi-arrow-return-down"></i> ${r}</span>`)}
</div>
` : nothing}
` : nothing}
</div>
` : nothing}
@@ -409,15 +457,31 @@ export class LlmRequestDetail extends LightElement {
return nothing;
}
// mid-conversation system prompt: render with markdown and a distinct style
// mid-conversation system prompt: render with markdown and a distinct style.
// DTL (Kimi): a mid-conversation `system` message may carry a `tools` array
// (the activated tool defs) with no textual content — render it as a
// dedicated "tools activated" block instead of dropping it.
if (role === 'system') {
const text = typeof msg.content === 'string' ? msg.content : '';
if (!text) return nothing;
const text = typeof msg.content === 'string' ? msg.content : '';
const sysTools = Array.isArray(msg.tools) ? msg.tools : [];
if (!text && sysTools.length === 0) return nothing;
return html`
<div class="llmr-msg llmr-msg--system">
<div class="llmr-msg-role"><i class="bi bi-shield-lock-fill"></i> ${t('llmr.detail.system_role')}</div>
<div class="llmr-msg-body">
<div class="llmr-system-md copilot-markdown">${unsafeHTML(renderMarkdown(text))}</div>
${text ? html`<div class="llmr-system-md copilot-markdown">${unsafeHTML(renderMarkdown(text))}</div>` : nothing}
${sysTools.length ? html`
<div class="llmr-dtl-tools">
<div class="llmr-dtl-tools-header">
<i class="bi bi-boxes"></i>
<span>${t('llmr.detail.tools_activated')}</span>
<span class="llmr-section-badge">${sysTools.length}</span>
</div>
<div class="llmr-dtl-tools-list">
${sysTools.map((td, i) => this._renderToolDef(td, `sys-${idx}-${i}`))}
</div>
</div>
` : nothing}
</div>
</div>
`;
@@ -439,6 +503,38 @@ export class LlmRequestDetail extends LightElement {
return this._renderContentBlock(block, `resp-${idx}`);
}
// A single tool definition, collapsible. Shared by the Tools section and the
// Kimi DTL system-tools block. Handles both shapes:
// Anthropic: { name, description, input_schema, defer_loading?, cache_control? }
// OpenAI: { type:'function', function:{ name, description, parameters }, defer_loading? }
// DTL flags (defer_loading / cache_control) render as small badges.
_renderToolDef(td, key) {
const name = td.name ?? td.function?.name ?? '(unknown)';
const desc = td.description ?? td.function?.description ?? '';
const schema = td.input_schema ?? td.function?.parameters ?? null;
const flags = extractToolFlags(td);
const open = this._expandedTools.has(key);
return html`
<div class="llmr-tool-def ${open ? 'llmr-tool-def--open' : ''}">
<div class="llmr-tool-def-header" @click=${() => this._toggleToolExpand(key)}>
<i class="bi bi-wrench" style="color:#0891b2;font-size:.75rem"></i>
<span class="llmr-tool-name">${name}</span>
${flags.deferred ? html`<span class="llmr-tool-def-flag llmr-tool-def-flag--deferred">${t('llmr.detail.flag_deferred')}</span>` : nothing}
${flags.cached ? html`<span class="llmr-tool-def-flag llmr-tool-def-flag--cached">${t('llmr.detail.flag_cached')}</span>` : nothing}
<span class="llmr-tool-def-desc">${desc}</span>
${schema ? html`
<span class="llmr-tool-toggle ms-auto">
<i class="bi bi-${open ? 'dash' : 'plus'}-circle"></i>
</span>
` : nothing}
</div>
${open && schema ? html`
<pre class="llmr-tool-pre">${JSON.stringify(schema, null, 2)}</pre>
` : nothing}
</div>
`;
}
// ── Main render ──────────────────────────────────────────────────────────────
render() {
@@ -481,6 +577,7 @@ export class LlmRequestDetail extends LightElement {
const msgs = extractMessages(req);
const params = extractParams(req);
const tools = extractTools(req);
const sysCached = systemHasCache(req);
const payloadMissing = !req && !resp;
const respBlocks = extractRespBlocks(resp);
@@ -520,7 +617,8 @@ export class LlmRequestDetail extends LightElement {
) : nothing}
${system ? this._renderSection('system', t('llmr.detail.section_system'),
html`<div class="llmr-system-md copilot-markdown">${unsafeHTML(renderMarkdown(system))}</div>`
html`<div class="llmr-system-md copilot-markdown">${unsafeHTML(renderMarkdown(system))}</div>`,
sysCached ? t('llmr.detail.flag_cached') : null
) : nothing}
${msgs.length ? this._renderSection('conversation', t('llmr.detail.section_conversation'),
@@ -532,32 +630,7 @@ export class LlmRequestDetail extends LightElement {
${tools.length ? this._renderSection('tools', t('llmr.detail.section_tools'),
html`<div class="llmr-tool-def-list">
${tools.map((t, i) => {
// Anthropic: { name, description, input_schema }
// OpenAI: { type: 'function', function: { name, description, parameters } }
const name = t.name ?? t.function?.name ?? '(unknown)';
const desc = t.description ?? t.function?.description ?? '';
const schema = t.input_schema ?? t.function?.parameters ?? null;
const key = `tooldef-${i}-${name}`;
const open = this._expandedTools.has(key);
return html`
<div class="llmr-tool-def ${open ? 'llmr-tool-def--open' : ''}">
<div class="llmr-tool-def-header" @click=${() => this._toggleToolExpand(key)}>
<i class="bi bi-wrench" style="color:#0891b2;font-size:.75rem"></i>
<span class="llmr-tool-name">${name}</span>
<span class="llmr-tool-def-desc">${desc}</span>
${schema ? html`
<span class="llmr-tool-toggle ms-auto">
<i class="bi bi-${open ? 'dash' : 'plus'}-circle"></i>
</span>
` : nothing}
</div>
${open && schema ? html`
<pre class="llmr-tool-pre">${JSON.stringify(schema, null, 2)}</pre>
` : nothing}
</div>
`;
})}
${tools.map((td, i) => this._renderToolDef(td, `tooldef-${i}`))}
</div>`,
tools.length
) : nothing}
+77
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@@ -587,6 +587,83 @@ llm-requests-page {
overflow-y: auto;
}
/* ── DTL (dynamic tool loading) ─────────────────────────────────────────────── */
/* Kimi: a mid-conversation system message carrying an activated `tools` array */
.llmr-dtl-tools {
border: 1px solid color-mix(in srgb, #db2777 22%, transparent);
border-left: 3px solid #db2777;
border-radius: 5px;
overflow: hidden;
font-size: 0.8rem;
}
.llmr-dtl-tools-header {
display: flex;
align-items: center;
gap: 0.4rem;
padding: 4px 8px;
background: color-mix(in srgb, #db2777 8%, var(--bs-tertiary-bg));
color: #db2777;
font-family: var(--bs-font-monospace);
font-size: 0.75rem;
font-weight: 600;
}
.llmr-dtl-tools-list {
display: flex;
flex-direction: column;
gap: 4px;
padding: 6px 8px;
}
/* Anthropic: a tool_reference result — the tool names an activate_tools call loads */
.llmr-tool-refs {
display: flex;
flex-direction: column;
gap: 2px;
padding: 4px 8px 6px;
}
.llmr-tool-ref {
font-family: var(--bs-font-monospace);
font-size: 0.72rem;
color: var(--bs-body-color);
}
.llmr-tool-ref i { color: #db2777; }
.llmr-tool-dtl-badge {
font-family: var(--bs-font-monospace);
font-size: 0.66rem;
color: #db2777;
background: color-mix(in srgb, #db2777 10%, transparent);
padding: 1px 6px;
border-radius: 10px;
white-space: nowrap;
}
/* Per-tool DTL flags in the tools list */
.llmr-tool-def-flag {
font-family: var(--bs-font-monospace);
font-size: 0.62rem;
text-transform: uppercase;
letter-spacing: 0.04em;
padding: 1px 5px;
border-radius: 3px;
white-space: nowrap;
}
.llmr-tool-def-flag--deferred {
color: #db2777;
background: color-mix(in srgb, #db2777 12%, transparent);
}
.llmr-tool-def-flag--cached {
color: #0891b2;
background: color-mix(in srgb, #0891b2 12%, transparent);
}
/* ── Reasoning block ─────────────────────────────────────────────────────────── */
.llmr-reasoning-block {
+4
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@@ -165,6 +165,10 @@ export default {
'llmr.detail.section_conversation':'Conversation',
'llmr.detail.section_tools': 'Tools Defined',
'llmr.detail.section_response': 'Response',
'llmr.detail.tools_activated': 'Tools activated (DTL)',
'llmr.detail.tool_reference_loads': 'loads {n}',
'llmr.detail.flag_deferred': 'deferred',
'llmr.detail.flag_cached': 'cached',
// ── Config ──────────────────────────────────────────────────────────────────
'config.title': 'Config',
+4
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@@ -165,6 +165,10 @@ export default {
'llmr.detail.section_conversation':'Conversation',
'llmr.detail.section_tools': 'Outils définis',
'llmr.detail.section_response': 'Réponse',
'llmr.detail.tools_activated': 'Outils activés (DTL)',
'llmr.detail.tool_reference_loads': 'charge {n}',
'llmr.detail.flag_deferred': 'différé',
'llmr.detail.flag_cached': 'en cache',
// ── Config ──────────────────────────────────────────────────────────────────
'config.title': 'Configuration',
+4
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@@ -165,6 +165,10 @@ export default {
'llmr.detail.section_conversation':'Conversazione',
'llmr.detail.section_tools': 'Strumenti definiti',
'llmr.detail.section_response': 'Risposta',
'llmr.detail.tools_activated': 'Strumenti attivati (DTL)',
'llmr.detail.tool_reference_loads': 'carica {n}',
'llmr.detail.flag_deferred': 'differito',
'llmr.detail.flag_cached': 'in cache',
// ── Session detail ──────────────────────────────────────────────────────────
'session.back': 'Indietro',