LLM getNeighbours tool + contiguous region transfers (Stage 2 of #16 P2)

- llm.ts: LlmClient.chatWithTools — bounded OpenAI function-calling loop
  (default 6 tool rounds, then one forced no-tools request); shares the
  retry/backoff/reasoning-effort machinery with chat(); tools are only
  added to the request body when non-empty, so plain chat() bodies and
  their tests are unchanged; a tool-call response is a success (never a
  truncation); malformed tool arguments become an error tool-message.
- engine.ts: GET_NEIGHBOURS_TOOL + makeNeighboursExecutor (degrades
  unknown tools/args/keys without throwing); playerFrontier (sorted,
  deduped, other-nation-owned only); buildSystemPrompt gains a tool
  variant (contiguity rules, frontier hint) used only when the tool is
  actually sent; buildUserPrompt emits a frontier field whenever a
  resolver is given; runTurn takes getNeighbours and uses
  chatWithTools when both the resolver and the client's capability are
  present, falling back to plain chat() otherwise.
- applyTurnResult: snapshot-first sole-ownership algorithm — a region
  key transfers only with exactly one claimant and exactly one previous
  owner (different from the gainer); double claims and pre-existing
  double ownership are left untouched; lone losses are no-ops; every
  key has 0 or 2+ -> 1 owner post-turn, never orphaned or duplicated.
- stub.ts: deterministic one-region contiguous conquest per turn from
  the prompt's frontier field (bypasses the tool loop; empty frontier
  -> no transfer, all existing assertions stay stable).
- regions.ts: optional region-adjacency.json load; hasAdjacency() and
  neighboursOf(keys) (union, deduped, queried excluded, sorted).
- index.ts: jump route passes the adjacency resolver when loaded.
- tests: chatWithTools protocol (echo, executor args, bounded rounds,
  malformed args, retry), tool-path runTurn wiring + fallback,
  playerFrontier, executor, applyTurnResult invariants, neighboursOf/
  hasAdjacency (105 unit tests, 14 e2e — all green).
This commit is contained in:
2026-10-14 10:37:25 +00:00
parent f53f9072f4
commit 5abbebc58f
8 changed files with 1091 additions and 68 deletions
+189 -9
View File
@@ -23,12 +23,55 @@
// to 3 total attempts and 2s→3s backoff (±20% jitter). HTTP 4xx is a
// deterministic client error and throws immediately, with no retry. Every
// call is logged: one line on success, one on final failure.
//
// Function calling: `chatWithTools()` extends `chat()` with the OpenAI tool
// loop. When the model answers with `finish_reason: "tool_calls"`, the client
// runs the provided executor for every requested call, appends the assistant
// tool-call message plus one `tool` result message per call, and re-sends the
// growing history until the model produces a final `content`. The loop is
// bounded to DEFAULT_MAX_TOOL_ROUNDS (6) tool rounds; if the budget is spent
// without a final answer, one last *no-tools* request forces the model to
// commit. The same retry/backoff/reasoning-effort machinery applies per
// request, so an injectable transport only has to forward `tools` in the body
// and accept `assistant`/`tool` messages in the history. The deterministic
// stub answers plain `content` (no tool calls) and therefore bypasses the
// loop in a single round.
export interface ChatMessage {
role: 'system' | 'user' | 'assistant';
content: string;
}
/** One OpenAI-style function call the model requests (`finish_reason: "tool_calls"`). */
export interface ToolCallSpec {
id: string;
type: 'function';
function: { name: string; arguments: string };
}
/** A function the model may call (one OpenAI `tools` entry). */
export interface ToolDefinition {
type: 'function';
function: {
name: string;
description?: string;
parameters?: Record<string, unknown>;
};
}
/**
* The full message vocabulary a request can carry: plain chat messages, plus
* assistant messages that request tool calls and the `tool` results that
* answer them (the OpenAI function-calling wire shape).
*/
export type WireMessage =
| ChatMessage
| { role: 'assistant'; content: string | null; tool_calls: ToolCallSpec[] }
| { role: 'tool'; tool_call_id: string; content: string };
/** Executes one tool call; the returned string is fed back to the model as the `tool` result. */
export type ToolExecutor = (name: string, args: Record<string, unknown>) => string;
/** A network call. The default implementation is native fetch. */
export type Transport = (url: string, init?: RequestInit) => Promise<Response>;
@@ -39,6 +82,18 @@ export interface ChatOptions {
export interface LlmClient {
chat(messages: ChatMessage[], opts?: ChatOptions): Promise<string>;
/**
* The function-calling variant of chat() — see the file header for the loop
* semantics (bounded tool rounds, then a forced final answer). Optional on
* the interface: minimal test doubles may omit it, and callers (the
* engine's runTurn) fall back to chat() when it is absent.
*/
chatWithTools?(
messages: WireMessage[],
tools: ToolDefinition[],
executeTool: ToolExecutor,
opts?: ChatOptions & { maxRounds?: number },
): Promise<string>;
listModels(): Promise<string[]>;
}
@@ -63,9 +118,17 @@ export const DEFAULT_MAX_TOKENS = 4000;
*/
export const DEFAULT_REASONING_EFFORT = 'low';
/** Total attempts `chat()` makes before giving up (1 initial + 2 retries). */
/** Total attempts per request (chat / chatWithTools) before giving up (1 initial + 2 retries). */
export const MAX_ATTEMPTS = 3;
/**
* Max tool-call rounds (assistant tool_calls → tool results) a chatWithTools
* loop may make before a final no-tools request forces the answer. Keeps a
* turn bounded even if the model keeps asking for data; a realistic turn uses
* 0–2 rounds.
*/
export const DEFAULT_MAX_TOOL_ROUNDS = 6;
/** Base retry backoff: retry 1 waits 2000ms, retry 2 waits 3000ms, each ±20% jitter. */
const RETRY_BASE_DELAY_MS = 2000;
@@ -154,6 +217,30 @@ function isNetworkError(err: unknown): boolean {
);
}
/** Parse the wire `tool_calls` array into validated ToolCallSpecs (malformed entries are dropped). */
function parseToolCalls(raw: unknown): ToolCallSpec[] {
if (!Array.isArray(raw)) return [];
const out: ToolCallSpec[] = [];
for (const tc of raw) {
if (!tc || typeof tc !== 'object') continue;
const t = tc as Record<string, unknown>;
const fn = t.function as Record<string, unknown> | undefined;
if (!fn || typeof fn.name !== 'string' || fn.name === '') continue;
const argumentsText =
typeof fn.arguments === 'string'
? fn.arguments
: fn.arguments != null
? JSON.stringify(fn.arguments)
: '{}';
out.push({
id: typeof t.id === 'string' && t.id !== '' ? t.id : `call_${out.length}`,
type: 'function',
function: { name: fn.name, arguments: argumentsText },
});
}
return out;
}
/** One transport attempt, classified as success / retryable / fatal. */
interface Attempt {
status?: number;
@@ -161,6 +248,7 @@ interface Attempt {
retryable: boolean;
content?: string;
finishReason?: string | null;
toolCalls?: ToolCallSpec[];
}
export function createLlmClient(deps: LlmClientDeps = {}): LlmClient {
@@ -179,7 +267,7 @@ export function createLlmClient(deps: LlmClientDeps = {}): LlmClient {
/**
* One POST to /chat/completions. Classifies the outcome:
* - success → content + finish_reason
* - success → content and/or tool_calls
* - retryable → timeout/abort, HTTP 5xx, network error, null/empty content
* - fatal → HTTP 4xx (deterministic client error) or an unexpected throw
*/
@@ -213,12 +301,27 @@ export function createLlmClient(deps: LlmClientDeps = {}): LlmClient {
const body = (await res.json()) as {
choices?: {
finish_reason?: string | null;
message?: { content?: string; reasoning?: string | null };
message?: { content?: string; reasoning?: string | null; tool_calls?: unknown };
}[];
};
const choice = body.choices?.[0];
const message = choice?.message;
// A tool-call round is a SUCCESS even though `content` is null there: the
// model is asking for data, not failing (never treat it as truncation).
const toolCalls = parseToolCalls(message?.tool_calls);
if (toolCalls.length > 0) {
return {
status: res.status,
retryable: false,
content:
typeof message?.content === 'string' && message.content !== '' ? message.content : undefined,
finishReason: choice?.finish_reason ?? null,
toolCalls,
};
}
// The reasoning model can exhaust its output budget on the CoT and return
// a null `content` — treat that as a retryable truncation, not a success.
const content = body.choices?.[0]?.message?.content;
const content = message?.content;
if (typeof content !== 'string' || content === '') {
return {
status: res.status,
@@ -230,11 +333,16 @@ export function createLlmClient(deps: LlmClientDeps = {}): LlmClient {
status: res.status,
retryable: false,
content,
finishReason: body.choices?.[0]?.finish_reason ?? null,
finishReason: choice?.finish_reason ?? null,
};
}
async function chat(messages: ChatMessage[], opts: ChatOptions = {}): Promise<string> {
/** Build one /chat/completions request body. `tools` is only included when non-empty, so plain chat() keeps its exact legacy shape. */
function buildPayload(
messages: WireMessage[],
tools: ToolDefinition[] | undefined,
opts: ChatOptions,
): Record<string, unknown> {
const payload: Record<string, unknown> = {
model,
messages,
@@ -245,7 +353,16 @@ export function createLlmClient(deps: LlmClientDeps = {}): LlmClient {
};
if (opts.temperature != null) payload.temperature = opts.temperature;
if (sendEffort) payload.reasoning_effort = effort;
if (tools && tools.length > 0) payload.tools = tools;
return payload;
}
/**
* One request with the standard retry/backoff: up to MAX_ATTEMPTS per
* request; resolves with a successful Attempt (content and/or toolCalls) or
* throws the last error once the attempts are spent.
*/
async function requestWithRetry(payload: Record<string, unknown>): Promise<Attempt> {
const totalStart = Date.now();
let lastStatus: number | undefined;
let lastError: Error = new Error('chat failed: no attempt completed');
@@ -255,12 +372,13 @@ export function createLlmClient(deps: LlmClientDeps = {}): LlmClient {
if (out.status !== undefined) lastStatus = out.status;
if (out.error) lastError = out.error;
if (out.content !== undefined) {
if (out.content !== undefined || out.toolCalls !== undefined) {
console.log('[llm] chat ok', {
ms: Date.now() - totalStart,
finishReason: out.finishReason ?? null,
toolCalls: out.toolCalls?.length ?? 0,
});
return out.content;
return out;
}
// Give up on a non-retryable failure, or when the last attempt is spent.
if (!out.retryable || attempt === MAX_ATTEMPTS) {
@@ -278,6 +396,68 @@ export function createLlmClient(deps: LlmClientDeps = {}): LlmClient {
throw lastError;
}
async function chat(messages: ChatMessage[], opts: ChatOptions = {}): Promise<string> {
const out = await requestWithRetry(buildPayload(messages, undefined, opts));
return out.content ?? '';
}
/**
* The function-calling loop — see the file header. Bounded: at most
* `maxRounds` tool rounds, then one final no-tools request forces an answer.
* Throws like chat() only on transport-level exhaustion (the engine maps that
* to a 502; bad *content* never throws, it is parsed defensively downstream).
*/
async function chatWithTools(
initial: WireMessage[],
tools: ToolDefinition[],
executeTool: ToolExecutor,
opts: ChatOptions & { maxRounds?: number } = {},
): Promise<string> {
const maxRounds = Math.max(1, opts.maxRounds ?? DEFAULT_MAX_TOOL_ROUNDS);
const messages: WireMessage[] = [...initial];
for (let round = 0; round < maxRounds; round++) {
const out = await requestWithRetry(buildPayload(messages, tools, opts));
// Tool calls win over any partial content: the model asked for data
// before it finished.
if (out.toolCalls && out.toolCalls.length > 0) {
messages.push({
role: 'assistant',
content: out.content ?? null,
tool_calls: out.toolCalls,
});
for (const tc of out.toolCalls) {
let result: string;
try {
const parsed: unknown =
tc.function.arguments !== '' ? JSON.parse(tc.function.arguments) : {};
const args =
parsed !== null && typeof parsed === 'object' && !Array.isArray(parsed)
? (parsed as Record<string, unknown>)
: {};
result = executeTool(tc.function.name, args);
} catch (err) {
// Malformed arguments are not fatal: hand the model an error
// result so it can re-call with valid arguments or move on.
result = JSON.stringify({
error: `invalid tool arguments: ${err instanceof Error ? err.message : String(err)}`,
});
}
messages.push({ role: 'tool', tool_call_id: tc.id, content: result });
}
continue;
}
if (out.content !== undefined) return out.content;
}
// The tool budget is spent without a final answer: one last no-tools
// request forces the model to commit.
messages.push({
role: 'user',
content: 'You have reached your tool budget. Answer now with the final result only.',
});
const out = await requestWithRetry(buildPayload(messages, undefined, opts));
return out.content ?? '';
}
async function listModels(): Promise<string[]> {
const res = await transport(`${apiBase}/models`, {
signal: AbortSignal.timeout(timeoutMs),
@@ -287,5 +467,5 @@ export function createLlmClient(deps: LlmClientDeps = {}): LlmClient {
return (body.data ?? []).map((m) => m.id);
}
return { chat, listModels };
return { chat, chatWithTools, listModels };
}