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* The prompted tool-calling protocol.
*
* This is the part that gives tool-calling to a model that has no native
* support for it: the schemas are injected into the system prompt, the model is
* asked to emit a `<tool_call>` block, and we parse that back out ourselves.
*
* Every rule below is a response to behaviour actually observed on 2-7B models
* served through HF Inference Providers, not a guess.
*/
/* ------------------------------------------------------------------ *
* Prompt assembly
* ------------------------------------------------------------------ */
export const CALL_OPEN = "<tool_call>";
export const CALL_CLOSE = "</tool_call>";
/** Stop sequence. Without it, small models emit a call and then cheerfully
* hallucinate its result in the same completion. */
export const STOP = [CALL_CLOSE];
export function buildSystemPrompt(schemas) {
const fns = schemas.map((s) => s.function);
return `You are a financial assistant with access to live market data tools.
You cannot know prices from memory. You MUST use the tools for any price,
market-cap, history or currency question.
AVAILABLE TOOLS (JSON Schema):
${JSON.stringify(fns, null, 2)}
HOW TO CALL A TOOL
Your reply must BEGIN immediately with a tool call, in exactly this form:
${CALL_OPEN}{"name": "<tool_name>", "arguments": {<args>}}${CALL_CLOSE}
RULES
1. Write NO text before the ${CALL_OPEN} tag. No preamble, no explanation, no
restating of the question. The tag is the first thing in your reply.
2. NEVER write a tool result yourself. Stop after the closing tag and wait.
3. The result arrives as a message beginning with TOOL_RESULT.
4. To call several tools at once, emit several ${CALL_OPEN} blocks back to back.
5. Use ONLY the tool names listed above, with exactly those argument names.
6. Once the TOOL_RESULT messages give you everything you need, reply in plain
prose with NO tool call, and state the actual numbers.
7. If a TOOL_RESULT contains "error", explain the problem or retry with
corrected arguments.`;
}
/**
* Few-shot examples as REAL message turns rather than dialogue text inside the
* system prompt.
*
* This is not a stylistic choice. With the examples written as prose in the
* system prompt, Qwen3.5-2B imitated the example's leading sentence ("I need the
* live price of bitcoin.") and then emitted EOS, never reaching the tool call.
* Delivering the pattern as genuine turns runs it through the model's own chat
* template, and the assistant turns contain nothing but the call — so the
* behaviour being demonstrated is exactly the behaviour we want.
*
* Kept to two exchanges: enough to fix the format, small enough not to crowd a
* 2B context window.
*/
export function buildFewShot() {
return [
{ role: "user", content: "What is Bitcoin worth?" },
{
role: "assistant",
content: `${CALL_OPEN}{"name": "get_price", "arguments": {"coin_id": "bitcoin"}}${CALL_CLOSE}`,
},
{
role: "user",
content:
'TOOL_RESULT get_price {"coin_id": "bitcoin", "vs_currency": "USD", "price": 64779, "change_24h_pct": 0.79}',
},
{
role: "assistant",
content: "Bitcoin is trading at $64,779, up 0.79% over the last 24 hours.",
},
{ role: "user", content: "Is Ethereum pricier than Solana? Show Ethereum in euros too." },
{
role: "assistant",
content:
`${CALL_OPEN}{"name": "get_price", "arguments": {"coin_id": "ethereum"}}${CALL_CLOSE}\n` +
`${CALL_OPEN}{"name": "get_price", "arguments": {"coin_id": "solana"}}${CALL_CLOSE}`,
},
{
role: "user",
content:
'TOOL_RESULT get_price {"coin_id": "ethereum", "price": 1919.55, "vs_currency": "USD"}\n' +
'TOOL_RESULT get_price {"coin_id": "solana", "price": 138.2, "vs_currency": "USD"}',
},
{
role: "assistant",
content: `${CALL_OPEN}{"name": "convert_currency", "arguments": {"amount": 1919.55, "from_currency": "USD", "to_currency": "EUR"}}${CALL_CLOSE}`,
},
{
role: "user",
content: 'TOOL_RESULT convert_currency {"result": 1775.58, "to_currency": "EUR", "rate": 0.925}',
},
{
role: "assistant",
content:
"Ethereum ($1,919.55) is far pricier than Solana ($138.20). In euros, Ethereum is about €1,775.58.",
},
];
}
/** Format a tool result as the user-role turn we feed back to the model.
*
* Deliberately NOT a `role: "tool"` message: templates without native tool
* support have no slot for that role. gemma-2 for instance raises on it and
* demands strictly alternating user/assistant turns, which this satisfies.
*/
export function formatToolResult(name, result) {
return `TOOL_RESULT ${name} ${JSON.stringify(result)}`;
}
/* ------------------------------------------------------------------ *
* Reasoning blocks
* ------------------------------------------------------------------ */
/**
* Split hybrid-reasoning output into { reasoning, text }.
*
* Qwen3.5 emits chain-of-thought terminated by `</think>` -- often WITHOUT a
* matching opening tag, so a naive paired regex misses it entirely and the
* reasoning leaks into the user-visible answer.
*/
export function splitReasoning(raw) {
let text = raw || "";
let reasoning = "";
const paired = text.match(/<think>([\s\S]*?)<\/think>/g);
if (paired) {
for (const block of paired) {
reasoning += block.replace(/<\/?think>/g, "");
}
text = text.replace(/<think>[\s\S]*?<\/think>/g, "");
}
// Orphan close tag: everything before it was reasoning.
const orphan = text.indexOf("</think>");
if (orphan !== -1) {
reasoning += text.slice(0, orphan);
text = text.slice(orphan + "</think>".length);
}
// Unterminated open tag: the model was cut off mid-thought.
const openOnly = text.indexOf("<think>");
if (openOnly !== -1) {
reasoning += text.slice(openOnly + "<think>".length);
text = text.slice(0, openOnly);
}
return { reasoning: reasoning.trim(), text: text.trim() };
}
/* ------------------------------------------------------------------ *
* Tolerant JSON parsing
* ------------------------------------------------------------------ */
/** Repair the malformations small models actually produce. */
function repairJSON(s) {
let t = s.trim();
t = t.replace(/,\s*([}\]])/g, "$1"); // trailing commas
t = t.replace(/([{,]\s*)'([^']+?)'(\s*:)/g, '$1"$2"$3'); // 'key':
t = t.replace(/(:\s*)'([^']*?)'/g, '$1"$2"'); // : 'value'
t = t.replace(/([{,]\s*)([A-Za-z_]\w*)(\s*:)/g, '$1"$2"$3'); // bare key:
t = t.replace(/\bNone\b/g, "null").replace(/\bTrue\b/g, "true").replace(/\bFalse\b/g, "false");
return t;
}
function tryParse(s) {
try {
return JSON.parse(s);
} catch {
try {
return JSON.parse(repairJSON(s));
} catch {
return undefined;
}
}
}
/** Extract balanced {...} substrings, respecting strings and escapes. */
function balancedObjects(s) {
const out = [];
let depth = 0,
start = -1,
inStr = false,
esc = false;
for (let i = 0; i < s.length; i++) {
const c = s[i];
if (inStr) {
if (esc) esc = false;
else if (c === "\\") esc = true;
else if (c === '"') inStr = false;
continue;
}
if (c === '"') inStr = true;
else if (c === "{") {
if (depth === 0) start = i;
depth++;
} else if (c === "}") {
depth--;
if (depth === 0 && start !== -1) {
out.push(s.slice(start, i + 1));
start = -1;
}
}
}
return out;
}
/** Normalise a parsed object into { name, arguments } or null. */
function normaliseCall(obj) {
if (!obj || typeof obj !== "object") return null;
// Some models nest under "tool_call" / "function".
if (obj.tool_call && typeof obj.tool_call === "object") obj = obj.tool_call;
if (obj.function && typeof obj.function === "object" && !obj.name) obj = obj.function;
const name = obj.name || obj.tool || obj.tool_name || obj.function_name;
if (typeof name !== "string" || !name) return null;
let args = obj.arguments ?? obj.args ?? obj.parameters ?? obj.params ?? obj.input ?? {};
if (typeof args === "string") args = tryParse(args) ?? {};
if (typeof args !== "object" || args === null || Array.isArray(args)) args = {};
return { name, arguments: args };
}
/**
* Coerce argument types to match the schema.
*
* Small models routinely send `"days": "7"` or `"amount": "1919.55"`. Without
* this, arithmetic silently turns into string concatenation.
*/
export function coerceArgs(name, args, schemas) {
const schema = schemas.find((s) => s.function.name === name);
if (!schema) return args;
const props = schema.function.parameters?.properties || {};
const out = {};
for (const [k, v] of Object.entries(args)) {
const want = props[k]?.type;
if (want === "number" && typeof v === "string" && v.trim() !== "" && isFinite(Number(v))) {
out[k] = Number(v);
} else if (want === "integer" && typeof v === "string" && /^-?\d+$/.test(v.trim())) {
out[k] = parseInt(v, 10);
} else if (want === "string" && typeof v === "number") {
out[k] = String(v);
} else {
out[k] = v;
}
}
return out;
}
/**
* Parse a raw completion into { reasoning, calls, text }.
*
* Scans, in order of trust: explicit <tool_call> tags, ```json fences, then any
* balanced object that looks like a call. Deduplicates, because a model that
* both fences AND tags the same call would otherwise fire it twice.
*/
export function parseToolCalls(raw, schemas = []) {
const { reasoning, text } = splitReasoning(raw);
const candidates = [];
let consumed = text;
// 1. Tagged blocks. The stop sequence strips the closing tag, so accept an
// unterminated trailing block too.
const tagged = /<tool_call>\s*([\s\S]*?)(?:<\/tool_call>|$)/g;
let m;
while ((m = tagged.exec(text)) !== null) {
candidates.push(m[1]);
consumed = consumed.replace(m[0], " ");
}
// 2. Fenced code blocks.
const fenced = /```(?:json|tool_call)?\s*([\s\S]*?)```/g;
while ((m = fenced.exec(text)) !== null) {
candidates.push(m[1]);
consumed = consumed.replace(m[0], " ");
}
// 3. Bare objects in whatever prose is left.
for (const obj of balancedObjects(consumed)) {
if (/"?(name|tool|function_name)"?\s*:/.test(obj)) candidates.push(obj);
}
const calls = [];
const seen = new Set();
for (const cand of candidates) {
// A candidate may itself contain several concatenated objects.
const pieces = balancedObjects(cand);
const chunks = pieces.length ? pieces : [cand];
for (const chunk of chunks) {
const call = normaliseCall(tryParse(chunk));
if (!call) continue;
call.arguments = coerceArgs(call.name, call.arguments, schemas);
const key = `${call.name}:${JSON.stringify(call.arguments)}`;
if (seen.has(key)) continue;
seen.add(key);
calls.push(call);
}
}
// Prose the user should see: reasoning and call blocks removed.
const visible = consumed.replace(/\s+/g, " ").trim();
return { reasoning, calls, text: visible };
}
/* ------------------------------------------------------------------ *
* Template capability shims
* ------------------------------------------------------------------ */
/**
* Some chat templates reject a system role outright (gemma-2 raises
* "System role not supported"). Fold the system prompt into the first user
* message instead.
*/
export function foldSystemIntoUser(messages) {
if (!messages.length || messages[0].role !== "system") return messages;
const [sys, ...rest] = messages;
const firstUser = rest.findIndex((m) => m.role === "user");
if (firstUser === -1) return [{ role: "user", content: sys.content }, ...rest];
const copy = [...rest];
copy[firstUser] = {
role: "user",
content: `${sys.content}\n\n---\n\n${copy[firstUser].content}`,
};
return copy;
}
/** Merge adjacent same-role messages, for templates that demand strict
* user/assistant alternation (gemma-2 again). */
export function mergeAlternating(messages) {
const out = [];
for (const m of messages) {
const last = out[out.length - 1];
if (last && last.role === m.role) {
last.content = `${last.content}\n${m.content}`;
} else {
out.push({ ...m });
}
}
return out;
}
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