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1 Commits
| Author | SHA1 | Date | |
|---|---|---|---|
| 5cd267296e |
+10
-10
@@ -266,8 +266,10 @@ if [ "${PI_DEBUG}" = "true" ]; then
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TOOL_LOG=""
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if [ -n "${SESSION_FILE}" ]; then
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# Extract tool-use entries: each line is a JSON object.
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# Tool calls appear as messages with tool_use/function_call content.
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# Extract tool-call entries from Pi session JSONL.
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# Pi stores assistant messages with content blocks of type "toolCall"
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# (NOT the Anthropic SDK's "tool_use"), using "arguments" (NOT "input").
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# Tool results are separate entries with role "toolResult".
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TOOL_LOG=$(node -e "
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const fs = require('fs');
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const lines = fs.readFileSync('${SESSION_FILE}', 'utf8').trim().split('\n');
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@@ -275,20 +277,18 @@ if [ "${PI_DEBUG}" = "true" ]; then
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for (const line of lines) {
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try {
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const entry = JSON.parse(line);
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if (entry.type === 'message') {
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if (entry.type !== 'message') continue;
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const msg = entry.message;
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// Model requesting tool use
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if (msg.role === 'assistant' && msg.content) {
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if (!msg || !msg.content) continue;
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const parts = Array.isArray(msg.content) ? msg.content : [msg.content];
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for (const part of parts) {
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if (typeof part === 'object' && part.type === 'tool_use') {
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const input = part.input || {};
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const args = Object.entries(input).map(([k,v]) => k + '=' + JSON.stringify(v)).join(' ');
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if (typeof part !== 'object') continue;
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if (part.type === 'toolCall') {
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const args = Object.entries(part.arguments || {})
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.map(([k,v]) => k + '=' + JSON.stringify(v)).join(' ');
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entries.push('[tool:' + part.name + '] ' + args);
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}
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}
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}
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}
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} catch {}
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}
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console.log(entries.join('\n'));
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