swarm: orchestrator, CCR context compilation, containment rules, primitive seam
- swarm.el: coordinator running fan-out/converge on El NATIVE threads (thread.el spawn/join) in bounded concurrency waves, order-preserving; convergence strategies collect/merge/vote/reduce; integer per-mille failure threshold (El float division is unreliable — avoided deliberately). - ccr.el: per-worker Compiled Context Routing — retrieval/scoping/compaction into a bounded, minimal package; the compiled-context boundary is the security boundary (a worker cannot receive or leak sibling inputs). - containment.el: the three Swarm containment rules enforced via scope tokens (Rule 1 no join, Rule 2 no open, Rule 3 no lateral edge) + execution-tree lateral-edge check. - primitives.el: attend/think/intend/act/learn seam the swarm composes over, with engram-backed fallbacks and an explicit binding point for the reshape. - prototype json_array_push in el_runtime.h (defined but unprototyped). test_swarm: 12/12 — native fan-out/converge, bounded concurrency, durable tracking, CCR bounding + non-leak, and all three containment rules.
This commit is contained in:
@@ -275,6 +275,7 @@ el_val_t json_array_get_string(el_val_t json_str, el_val_t index);
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el_val_t json_escape_string(el_val_t sv);
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el_val_t json_build_object(el_val_t kvs);
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el_val_t json_build_array(el_val_t items);
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el_val_t json_array_push(el_val_t arr_v, el_val_t elem_v); /* defined in el_runtime.c */
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/* ── Time ────────────────────────────────────────────────────────────────── */
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@@ -0,0 +1,153 @@
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// ccr.el — Compiled Context Routing for work distribution.
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//
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// The same spine as the API's vantage-read, applied per worker. Instead of
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// handing every worker the coordinator's full memory, CCR compiles a MINIMAL,
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// BOUNDED context package scoped to exactly one worker's input (CCR §5, "Compiled
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// Context Injection"; Swarm §9.3, "The Compiled Context Boundary as Security
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// Boundary").
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//
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// The pipeline is CCR §5.1: Retrieval -> Scoping -> Compilation -> (Injection,
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// which here is placing the package into the worker's task envelope).
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//
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// 1. Retrieval — resolve the blueprint's knowledge refs + the input's salient
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// terms against the mind (primitive_attend).
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// 2. Scoping — keep only what THIS input needs; drop everything else. A
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// worker never receives sibling inputs or unrelated memory.
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// 3. Compilation— compact to a CTX string within a token budget (lossless of
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// meaning, smaller in tokens): collapse blank runs, dedupe
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// lines, then bound to the budget.
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//
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// The package a worker receives is therefore (a) sufficient for its task and
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// (b) incapable of leaking what it was never given — the containment boundary
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// and the security boundary are the same object.
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// ── token budget helpers ─────────────────────────────────────────────────────
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// ccr_est_tokens — cheap token estimate (~4 chars/token).
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fn ccr_est_tokens(s: String) -> Int {
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return str_len(s) / 4
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}
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// ccr_default_budget — default per-worker context budget in tokens.
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// Override with CCR_TOKEN_BUDGET.
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fn ccr_default_budget() -> Int {
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let b: String = env("CCR_TOKEN_BUDGET")
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if str_eq(b, "") {
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return 1200
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}
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return str_to_int(b)
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}
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// ── stage 3: compaction ──────────────────────────────────────────────────────
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// ccr_compact — collapse blank-line runs and drop exact duplicate lines, then
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// bound the result to `budget` tokens (truncate on a line boundary). Meaning is
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// preserved; token count falls (CCR §5.2).
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fn ccr_compact(text: String, budget: Int) -> String {
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let lines: [String] = str_split_lines(text)
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let n: Int = el_list_len(lines)
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let seen: String = "\n"
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let out: String = ""
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let out_tokens = 0
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let i = 0
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while i < n {
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let ln: String = str_trim(el_list_get(lines, i))
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if str_eq(ln, "") {
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let i = i + 1
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} else {
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let marker: String = "\n" + ln + "\n"
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if str_contains(seen, marker) {
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// duplicate line — skip
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let i = i + 1
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} else {
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let seen = seen + ln + "\n"
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let line_tokens: Int = ccr_est_tokens(ln) + 1
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if out_tokens + line_tokens > budget {
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// budget exhausted — stop (bounded)
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let i = n
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} else {
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let out = out + ln + "\n"
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let out_tokens = out_tokens + line_tokens
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let i = i + 1
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}
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}
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}
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}
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return out
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}
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// ── stages 1+2: retrieve + scope ─────────────────────────────────────────────
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// ccr_retrieve_scoped — pull context relevant to this input and its blueprint
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// knowledge refs, scoped to a fraction of the budget so no single source floods
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// the package. Returns compacted retrieved text (may be empty if the mind is
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// unreachable — the input alone is still a valid minimal context).
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fn ccr_retrieve_scoped(blueprint: String, knowledge_refs: String, input_item: String, budget: Int) -> String {
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let acc: String = ""
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// knowledge_refs is a JSON array of query strings.
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let m: Int = json_array_len(knowledge_refs)
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let i = 0
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while i < m {
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let ref: String = json_array_get(knowledge_refs, i)
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let hit: String = primitive_attend(ref, 3)
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let acc = acc + "# ref:" + ref + "\n" + hit + "\n"
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let i = i + 1
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}
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// the input's own salient text also seeds retrieval
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let hit2: String = primitive_attend(input_item, 3)
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let acc = acc + "# input-context\n" + hit2 + "\n"
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// scope retrieval to ~60% of budget; the input itself gets the rest
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let retr_budget: Int = (budget * 6) / 10
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return ccr_compact(acc, retr_budget)
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}
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// ── ccr_compile — assemble the bounded per-worker context package ─────────────
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//
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// blueprint : task blueprint name
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// knowledge_refs : JSON array of retrieval queries from the blueprint
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// input_item : THIS worker's single input (and nothing else)
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// corr_id : swarm correlation ID
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// worker_id : this worker's ID
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// scope_token : the worker's containment token (closed boundary)
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//
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// Returns a JSON package: { blueprint, corr_id, worker_id, scope_token,
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// input, knowledge, budget_tokens, compiled_tokens }. `knowledge` is compiled
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// and bounded; the package as a whole is bounded by budget.
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fn ccr_compile(blueprint: String, knowledge_refs: String, input_item: String,
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corr_id: String, worker_id: String, scope_token: String) -> String {
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let budget: Int = ccr_default_budget()
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let knowledge: String = ccr_retrieve_scoped(blueprint, knowledge_refs, input_item, budget)
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let kv: [String] = el_list_empty()
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let kv = el_list_append(kv, "blueprint")
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let kv = el_list_append(kv, blueprint)
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let kv = el_list_append(kv, "corr_id")
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let kv = el_list_append(kv, corr_id)
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let kv = el_list_append(kv, "worker_id")
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let kv = el_list_append(kv, worker_id)
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let kv = el_list_append(kv, "input")
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let kv = el_list_append(kv, input_item)
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let kv = el_list_append(kv, "knowledge")
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let kv = el_list_append(kv, knowledge)
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let kv = el_list_append(kv, "budget_tokens")
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let kv = el_list_append(kv, int_to_str(budget))
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let pkg: String = json_build_object(kv)
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// stamp the scope token as a nested object, and the measured size
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let pkg2: String = json_set(pkg, "scope_token", scope_token)
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let compiled_tokens: Int = ccr_est_tokens(pkg2)
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let pkg3: String = json_set(pkg2, "compiled_tokens", int_to_str(compiled_tokens))
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return pkg3
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}
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// ccr_within_budget — did the compiled package stay within its budget?
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// (Retrieval is bounded to 60% and the input is small; this asserts the whole
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// package is bounded — the property distribution relies on.)
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fn ccr_within_budget(pkg: String) -> Bool {
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let budget: Int = str_to_int(json_get_string(pkg, "budget_tokens"))
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let compiled: Int = str_to_int(json_get_string(pkg, "compiled_tokens"))
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// allow a small envelope for JSON framing overhead
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if compiled <= budget + 200 {
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return true
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}
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return false
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}
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@@ -0,0 +1,123 @@
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// containment.el — the Swarm Architecture containment rules, enforced.
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//
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// "These rules are not conventions. They are enforced by the runtime."
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// (Swarm Architecture §3.2). The three rules that make bounded parallelism —
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// and therefore location-independent distribution — safe:
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//
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// Rule 1: a worker may NOT join another swarm.
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// Rule 2: a worker may NOT initiate a new swarm.
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// Rule 3: a worker may NOT communicate laterally with sibling workers.
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//
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// Enforcement is by SCOPE TOKEN. When a swarm fans out, the coordinator mints a
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// swarm scope token and stamps a distinct worker scope token into each worker's
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// task envelope. Any attempt to create or join a swarm checks the caller's
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// token: if the caller already holds a WORKER token, the operation is rejected.
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// Rule 3 is enforced structurally elsewhere — workers share no mutable state and
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// the only channels they hold are the vertical result path — but this module
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// provides the explicit lateral-edge check for the execution tree.
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//
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// A scope token is a JSON object: {"kind":"coordinator|worker","swarm":"<corr>",
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// "worker":"<id-or-empty>","depth":"<n>"}.
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// ── Token minting ────────────────────────────────────────────────────────────
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// containment_coordinator_token — the token a coordinator holds. Depth 0.
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// Only a coordinator token may open a swarm.
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fn containment_coordinator_token(corr_id: String) -> String {
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let kv: [String] = el_list_empty()
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let kv = el_list_append(kv, "kind")
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let kv = el_list_append(kv, "coordinator")
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let kv = el_list_append(kv, "swarm")
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let kv = el_list_append(kv, corr_id)
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let kv = el_list_append(kv, "worker")
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let kv = el_list_append(kv, "")
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let kv = el_list_append(kv, "depth")
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let kv = el_list_append(kv, "0")
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return json_build_object(kv)
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}
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// containment_worker_token — the token stamped into a worker's envelope. Depth 1.
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// A worker token is a closed boundary: holding it forbids opening/joining swarms.
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fn containment_worker_token(corr_id: String, worker_id: String) -> String {
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let kv: [String] = el_list_empty()
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let kv = el_list_append(kv, "kind")
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let kv = el_list_append(kv, "worker")
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let kv = el_list_append(kv, "swarm")
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let kv = el_list_append(kv, corr_id)
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let kv = el_list_append(kv, "worker")
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let kv = el_list_append(kv, worker_id)
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let kv = el_list_append(kv, "depth")
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let kv = el_list_append(kv, "1")
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return json_build_object(kv)
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}
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// ── Rule checks (return "" on allow, or a rejection reason string) ───────────
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// containment_check_open — may the holder of `token` OPEN a new swarm?
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// Enforces Rule 2 (a worker may not initiate a new swarm). Only a coordinator
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// token, or an absent token (top-level process), may open one.
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fn containment_check_open(token: String) -> String {
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if str_eq(token, "") {
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return ""
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}
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let kind: String = json_get_string(token, "kind")
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if str_eq(kind, "worker") {
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return "CONTAINMENT rule 2: a swarm worker may not initiate a new swarm (worker=" + json_get_string(token, "worker") + " swarm=" + json_get_string(token, "swarm") + ")"
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}
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return ""
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}
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// containment_check_join — may the holder of `token` JOIN swarm `target_corr`?
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// Enforces Rule 1 (a worker may not join another swarm). A worker already bound
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// to swarm A may not register into swarm B; and a worker may not re-join at all.
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fn containment_check_join(token: String, target_corr: String) -> String {
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if str_eq(token, "") {
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return ""
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}
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let kind: String = json_get_string(token, "kind")
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if str_eq(kind, "worker") {
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return "CONTAINMENT rule 1: a swarm worker may not join another swarm (worker=" + json_get_string(token, "worker") + " bound-swarm=" + json_get_string(token, "swarm") + " attempted-swarm=" + target_corr + ")"
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}
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return ""
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}
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// containment_check_lateral — may `from_token` open a communication edge to a
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// sibling worker `to_worker_id`? Enforces Rule 3 (no lateral communication).
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// The only permitted edges are vertical: worker->coordinator and
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// coordinator->worker. Any worker->worker edge is rejected.
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fn containment_check_lateral(from_token: String, to_worker_id: String) -> String {
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let kind: String = json_get_string(from_token, "kind")
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if str_eq(kind, "worker") {
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if str_eq(to_worker_id, "") {
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// empty target = the coordinator (vertical) — allowed
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return ""
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}
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return "CONTAINMENT rule 3: a swarm worker may not communicate laterally with sibling workers (from=" + json_get_string(from_token, "worker") + " to=" + to_worker_id + ")"
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}
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return ""
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}
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// ── Enforcement helpers ──────────────────────────────────────────────────────
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// containment_allows_open — Bool convenience over containment_check_open.
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fn containment_allows_open(token: String) -> Bool {
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return str_eq(containment_check_open(token), "")
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}
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// containment_is_worker — is this a worker-scoped (closed-boundary) token?
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fn containment_is_worker(token: String) -> Bool {
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return str_eq(json_get_string(token, "kind"), "worker")
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}
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// containment_guard_open — assert a swarm may be opened under this token.
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// Returns "" if allowed, or records a CONTAINMENT violation to the work-tracking
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// journal and returns the reason. Callers must abort on a non-empty return.
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fn containment_guard_open(token: String, corr_id: String) -> String {
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let reason: String = containment_check_open(token)
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if str_eq(reason, "") {
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return ""
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}
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let p: String = json_set("{}", "reason", reason)
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worktrack_append("containment.violation", corr_id, "open", p)
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return reason
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}
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@@ -0,0 +1,82 @@
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// primitives.el — the agentic primitive SEAM the swarm composes over.
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//
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// The swarm is orchestration OVER the five CCR primitives, not a replacement for
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// them (CCR §2, "The Five Primitives / The Execution Cycle"): a worker executes
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// its task blueprint as attend -> think -> intend -> act -> learn against its
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// compiled, bounded context.
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//
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// This file is the SEAM. The parallel API-surface reshape exposes the canonical
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// primitive tools; when it lands, bind each primitive below to the reshaped
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// implementation (see PRIMITIVE_BINDING). Until then these are thin, engram-
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// backed fallbacks so the swarm — its fan-out, containment, CCR context
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// compilation, convergence, and work-tracking — is fully exercisable today.
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//
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// Contract: every primitive takes and returns String (JSON where structured), so
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// any primitive is directly threadable via thread.el's spawn (which runs
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// top-level (String)->String El fns).
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//
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// PRIMITIVE_BINDING: to bind the reshape's real tools, replace each fallback body
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// with a call to the reshaped El fn / API endpoint. Signatures here are the
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// stable contract the swarm depends on; keep them.
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// ── attend — retrieve the minimal relevant context for a focus ───────────────
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// Vantage-read: pull only what this focus needs from the mind. Backed by the
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// engram's spreading-activation retrieval.
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fn primitive_attend(query: String, limit: Int) -> String {
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if str_eq(query, "") {
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return "[]"
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}
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// engram_activate returns activated neighbourhood as JSON; scoped by limit.
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return engram_activate(query, limit)
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}
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// ── think — reason over the compiled context ─────────────────────────────────
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// In production this routes to a model (CCR dynamic model selection). Here it is
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// a deterministic, hermetic transform so swarm behaviour is testable without an
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// external model: it echoes a structured verdict derived from the context. The
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// binding point for a real model is explicit.
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fn primitive_think(compiled_ctx: String, instruction: String) -> String {
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// PRIMITIVE_BINDING: replace with the reshape's think() (model inference).
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let kv: [String] = el_list_empty()
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let kv = el_list_append(kv, "instruction")
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let kv = el_list_append(kv, instruction)
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let kv = el_list_append(kv, "ctx_bytes")
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let kv = el_list_append(kv, int_to_str(str_len(compiled_ctx)))
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let kv = el_list_append(kv, "conclusion")
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let kv = el_list_append(kv, "reasoned:" + instruction)
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return json_build_object(kv)
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}
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// ── intend — form a bounded plan/decision from a thought ─────────────────────
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fn primitive_intend(thought: String) -> String {
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let concl: String = json_get_string(thought, "conclusion")
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let kv: [String] = el_list_empty()
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let kv = el_list_append(kv, "intent")
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let kv = el_list_append(kv, concl)
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return json_build_object(kv)
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}
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// ── act — execute a bounded effect and return its result ─────────────────────
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// Workers defer real side-effects to the coordinator (idempotency requirement,
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// Swarm §7.3). Here act produces an artifact-shaped result the coordinator
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// collects during convergence.
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fn primitive_act(intent: String, input_item: String) -> String {
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let kv: [String] = el_list_empty()
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let kv = el_list_append(kv, "acted_on")
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let kv = el_list_append(kv, input_item)
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let kv = el_list_append(kv, "via")
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let kv = el_list_append(kv, json_get_string(intent, "intent"))
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return json_build_object(kv)
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}
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// ── learn — record an observation into the mind, tagged by correlation ID ────
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// Append-only, naturally idempotent (Swarm §7.3). Best-effort: a worker that
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// cannot reach the mind still returns its result.
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fn primitive_learn(corr_id: String, observation: String) -> String {
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let url: String = env("ENGRAM_URL")
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if str_eq(url, "") {
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return ""
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}
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let content: String = "swarm-worker-obs corr=" + corr_id + " :: " + observation
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return engram_node(content, "Memory", 0.4)
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}
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@@ -0,0 +1,360 @@
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// swarm.el — the swarm orchestrator: bounded parallel agent execution.
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//
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// Implements Swarm Architecture's single pattern — fan out, execute independently,
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// converge — on El's NATIVE concurrency (thread.el spawn/join). No external
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// orchestrator: a swarm is a coordinator (this file, the main thread) that mints
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// a correlation identity, compiles a bounded CCR context per worker, dispatches
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// workers as native pthreads, tracks every unit of work, and converges the
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// results before returning control to the parent step.
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//
|
||||
// The five properties of every swarm (Swarm §2.1) are all present:
|
||||
// parent step -> swarm_run is called from one process step
|
||||
// task blueprint -> `blueprint` name + knowledge refs, run by every worker
|
||||
// input set -> `inputs_json`, one item per worker
|
||||
// convergence -> `strategy` in config (collect|merge|vote|reduce)
|
||||
// correlation ID -> minted here, threaded through tracking + every worker
|
||||
//
|
||||
// Containment (Swarm §3) is enforced: the caller must hold a coordinator/absent
|
||||
// token to open a swarm (Rule 2), each worker is stamped a closed worker token
|
||||
// (Rules 1+3), and workers share no mutable state (the coordinator is the only
|
||||
// journal writer).
|
||||
|
||||
// ── worker entry — the top-level (String)->String fn native threads run ──────
|
||||
//
|
||||
// Every El fn compiles to a global C symbol; spawn() resolves this by name via
|
||||
// dlsym and runs it in a pthread. The envelope carries everything the worker is
|
||||
// permitted to see — its compiled context and nothing else (§9.3).
|
||||
//
|
||||
// Returns a result JSON: {worker_id, status:"completed"|"failed", output|error}.
|
||||
fn swarm_worker_entry(envelope_json: String) -> String {
|
||||
let worker_id: String = json_get_string(envelope_json, "worker_id")
|
||||
let ctx: String = json_get_raw(envelope_json, "ctx")
|
||||
|
||||
// The worker holds a CLOSED worker token (Rules 1+3): it shares no state
|
||||
// with siblings and may not open/join a swarm. That boundary is enforced at
|
||||
// the point of attempt — swarm_run rejects any swarm opened under a worker
|
||||
// token (Rule 2). A worker simply executing its blueprint is not opening a
|
||||
// swarm, so it proceeds. Its only outward edge is this returned result
|
||||
// (the vertical worker->coordinator path).
|
||||
let out: String = swarm_run_blueprint(ctx)
|
||||
let kv: [String] = el_list_empty()
|
||||
let kv = el_list_append(kv, "worker_id")
|
||||
let kv = el_list_append(kv, worker_id)
|
||||
let kv = el_list_append(kv, "status")
|
||||
let kv = el_list_append(kv, "completed")
|
||||
let res: String = json_build_object(kv)
|
||||
return json_set(res, "output", out)
|
||||
}
|
||||
|
||||
// swarm_run_blueprint — execute the task blueprint over a compiled context.
|
||||
// The default blueprint is the CCR execution cycle: think -> intend -> act over
|
||||
// the worker's bounded context. Specialise by dispatching on
|
||||
// json_get_string(ctx,"blueprint"). Idempotent: reads ctx, writes only its
|
||||
// returned output (§7.3).
|
||||
fn swarm_run_blueprint(ctx: String) -> String {
|
||||
let input_item: String = json_get_string(ctx, "input")
|
||||
let knowledge: String = json_get_string(ctx, "knowledge")
|
||||
let instruction: String = "process input: " + input_item
|
||||
let thought: String = primitive_think(knowledge, instruction)
|
||||
let intent: String = primitive_intend(thought)
|
||||
let effect: String = primitive_act(intent, input_item)
|
||||
return effect
|
||||
}
|
||||
|
||||
// ── native-thread fan-out, bounded by concurrency, order-preserving ──────────
|
||||
//
|
||||
// parallel_map (thread.el) spawns ALL threads at once. The swarm honours the
|
||||
// blueprint's `concurrency` cap (§5.1: a resource constraint, not a parallelism
|
||||
// constraint — all items are processed, at most N at a time) by dispatching in
|
||||
// waves of N native threads, joining each wave before the next. Results are
|
||||
// returned in input order.
|
||||
fn swarm_fanout(worker_fn: String, envelopes: [String], concurrency: Int) -> [String] {
|
||||
let n: Int = el_list_len(envelopes)
|
||||
let cap: Int = concurrency
|
||||
if cap < 1 {
|
||||
let cap = 1
|
||||
}
|
||||
let results: [String] = el_list_empty()
|
||||
let base = 0
|
||||
while base < n {
|
||||
// spawn a wave of up to `cap` workers
|
||||
let tids: [String] = el_list_empty()
|
||||
let k = 0
|
||||
while k < cap {
|
||||
let idx: Int = base + k
|
||||
if idx < n {
|
||||
let env_item: String = el_list_get(envelopes, idx)
|
||||
let tid: Int = spawn(worker_fn, env_item)
|
||||
let tids = el_list_append(tids, int_to_str(tid))
|
||||
}
|
||||
let k = k + 1
|
||||
}
|
||||
// join the wave in order
|
||||
let j = 0
|
||||
let jn: Int = el_list_len(tids)
|
||||
while j < jn {
|
||||
let tid: Int = str_to_int(el_list_get(tids, j))
|
||||
let r: String = join(tid)
|
||||
let results = el_list_append(results, r)
|
||||
let j = j + 1
|
||||
}
|
||||
let base = base + cap
|
||||
}
|
||||
return results
|
||||
}
|
||||
|
||||
// ── convergence strategies (Swarm §4.2) ──────────────────────────────────────
|
||||
|
||||
// swarm_converge_collect — ordered list, no transformation.
|
||||
fn swarm_converge_collect(results: [String]) -> String {
|
||||
let n: Int = el_list_len(results)
|
||||
let arr: String = "[]"
|
||||
let i = 0
|
||||
while i < n {
|
||||
let arr = json_array_push(arr, el_list_get(results, i))
|
||||
let i = i + 1
|
||||
}
|
||||
return arr
|
||||
}
|
||||
|
||||
// swarm_converge_merge — combine worker outputs into a single joined string.
|
||||
fn swarm_converge_merge(results: [String]) -> String {
|
||||
let n: Int = el_list_len(results)
|
||||
let merged: String = ""
|
||||
let i = 0
|
||||
while i < n {
|
||||
let out: String = json_get_raw(el_list_get(results, i), "output")
|
||||
if i > 0 {
|
||||
let merged = merged + " | "
|
||||
}
|
||||
let merged = merged + out
|
||||
let i = i + 1
|
||||
}
|
||||
return json_set("{}", "merged", merged)
|
||||
}
|
||||
|
||||
// swarm_converge_vote — tally a field across worker outputs, pick the majority.
|
||||
// Each worker output is expected to carry a "verdict" string field.
|
||||
fn swarm_converge_vote(results: [String]) -> String {
|
||||
let n: Int = el_list_len(results)
|
||||
// count occurrences by scanning; first-past-the-post
|
||||
let tally: String = "{}"
|
||||
let i = 0
|
||||
while i < n {
|
||||
let out: String = json_get_raw(el_list_get(results, i), "output")
|
||||
let v: String = json_get_string(out, "verdict")
|
||||
if str_eq(v, "") {
|
||||
let i = i + 1
|
||||
} else {
|
||||
let cur: String = json_get_string(tally, v)
|
||||
let c: Int = 0
|
||||
if str_eq(cur, "") {
|
||||
let c = 1
|
||||
} else {
|
||||
let c = str_to_int(cur) + 1
|
||||
}
|
||||
let tally = json_set(tally, v, int_to_str(c))
|
||||
let i = i + 1
|
||||
}
|
||||
}
|
||||
// pick the max
|
||||
let best: String = ""
|
||||
let bestc = 0
|
||||
let j = 0
|
||||
while j < n {
|
||||
let out: String = json_get_raw(el_list_get(results, j), "output")
|
||||
let v: String = json_get_string(out, "verdict")
|
||||
if str_eq(v, "") {
|
||||
let j = j + 1
|
||||
} else {
|
||||
let c: Int = str_to_int(json_get_string(tally, v))
|
||||
if c > bestc {
|
||||
let bestc = c
|
||||
let best = v
|
||||
}
|
||||
let j = j + 1
|
||||
}
|
||||
}
|
||||
let kv: [String] = el_list_empty()
|
||||
let kv = el_list_append(kv, "winner")
|
||||
let kv = el_list_append(kv, best)
|
||||
let kv = el_list_append(kv, "votes")
|
||||
let kv = el_list_append(kv, int_to_str(bestc))
|
||||
return json_build_object(kv)
|
||||
}
|
||||
|
||||
// swarm_converge_reduce — fold outputs into an accumulator (count + concat).
|
||||
fn swarm_converge_reduce(results: [String]) -> String {
|
||||
let n: Int = el_list_len(results)
|
||||
let acc: String = ""
|
||||
let i = 0
|
||||
while i < n {
|
||||
let out: String = json_get_raw(el_list_get(results, i), "output")
|
||||
let acc = acc + out
|
||||
let i = i + 1
|
||||
}
|
||||
let kv: [String] = el_list_empty()
|
||||
let kv = el_list_append(kv, "count")
|
||||
let kv = el_list_append(kv, int_to_str(n))
|
||||
let kv = el_list_append(kv, "accumulated")
|
||||
let kv = el_list_append(kv, acc)
|
||||
return json_build_object(kv)
|
||||
}
|
||||
|
||||
// ratio_to_permille — parse a decimal ratio string ("1.0", "0.8") into an
|
||||
// integer per-mille (1000, 800) so failure thresholds use exact integer math.
|
||||
// (El float division is unreliable in this runtime — int_to_float(n)/int_to_float(n)
|
||||
// does not equal 1.0 — so the swarm deliberately avoids floats.)
|
||||
fn ratio_to_permille(s: String) -> Int {
|
||||
if str_eq(s, "") {
|
||||
return 1000
|
||||
}
|
||||
let parts: [String] = str_split(s, ".")
|
||||
let whole: Int = str_to_int(el_list_get(parts, 0))
|
||||
let permille: Int = whole * 1000
|
||||
if el_list_len(parts) > 1 {
|
||||
let frac_raw: String = el_list_get(parts, 1)
|
||||
let frac3: String = str_slice(str_pad_right(frac_raw, 3, "0"), 0, 3)
|
||||
let permille = permille + str_to_int(frac3)
|
||||
}
|
||||
return permille
|
||||
}
|
||||
|
||||
// swarm_converge — dispatch on strategy name.
|
||||
fn swarm_converge(strategy: String, results: [String]) -> String {
|
||||
if str_eq(strategy, "merge") {
|
||||
return swarm_converge_merge(results)
|
||||
}
|
||||
if str_eq(strategy, "vote") {
|
||||
return swarm_converge_vote(results)
|
||||
}
|
||||
if str_eq(strategy, "reduce") {
|
||||
return swarm_converge_reduce(results)
|
||||
}
|
||||
// default: collect
|
||||
return swarm_converge_collect(results)
|
||||
}
|
||||
|
||||
// ── the coordinator: fan out -> track -> converge ────────────────────────────
|
||||
//
|
||||
// blueprint : task blueprint name run by every worker
|
||||
// knowledge_refs : JSON array of retrieval queries for CCR compilation
|
||||
// inputs_json : JSON array of input items (one per worker)
|
||||
// config_json : { concurrency, strategy, min_success_ratio,
|
||||
// failure_action, caller_token }
|
||||
//
|
||||
// Returns: { corr_id, status:"completed"|"aborted", merged, report }.
|
||||
fn swarm_run(blueprint: String, knowledge_refs: String, inputs_json: String, config_json: String) -> String {
|
||||
let corr_id: String = "swarm-" + uuid_v4()
|
||||
let caller_token: String = json_get_raw(config_json, "caller_token")
|
||||
let concurrency: Int = str_to_int(json_get_string(config_json, "concurrency"))
|
||||
if concurrency < 1 {
|
||||
let concurrency = 4
|
||||
}
|
||||
let strategy: String = json_get_string(config_json, "strategy")
|
||||
|
||||
// ── Containment Rule 2: only a coordinator/absent token may open a swarm ──
|
||||
let deny: String = containment_guard_open(caller_token, corr_id)
|
||||
if str_eq(deny, "") {
|
||||
// allowed — proceed
|
||||
let n: Int = json_array_len(inputs_json)
|
||||
|
||||
// swarm.created
|
||||
let cp: String = json_set("{}", "blueprint", blueprint)
|
||||
let cp2: String = json_set(cp, "input_count", int_to_str(n))
|
||||
worktrack_append("swarm.created", corr_id, corr_id, cp2)
|
||||
|
||||
// build per-worker envelopes: worker token + CCR-compiled bounded context
|
||||
let envelopes: [String] = el_list_empty()
|
||||
let i = 0
|
||||
while i < n {
|
||||
let worker_id: String = corr_id + "/worker-" + int_to_str(i)
|
||||
let input_item: String = json_array_get(inputs_json, i)
|
||||
let wtoken: String = containment_worker_token(corr_id, worker_id)
|
||||
let ctx: String = ccr_compile(blueprint, knowledge_refs, input_item, corr_id, worker_id, wtoken)
|
||||
// envelope: only this worker's compiled context + its closed token
|
||||
let ekv: [String] = el_list_empty()
|
||||
let ekv = el_list_append(ekv, "worker_id")
|
||||
let ekv = el_list_append(ekv, worker_id)
|
||||
let ekv = el_list_append(ekv, "corr_id")
|
||||
let ekv = el_list_append(ekv, corr_id)
|
||||
let env0: String = json_build_object(ekv)
|
||||
let env1: String = json_set(env0, "scope_token", wtoken)
|
||||
let env2: String = json_set(env1, "ctx", ctx)
|
||||
let envelopes = el_list_append(envelopes, env2)
|
||||
|
||||
let sp: String = json_set("{}", "input", input_item)
|
||||
worktrack_append("worker.started", corr_id, worker_id, sp)
|
||||
let i = i + 1
|
||||
}
|
||||
|
||||
// ── native-thread fan-out (bounded) ──
|
||||
let results: [String] = swarm_fanout("swarm_worker_entry", envelopes, concurrency)
|
||||
|
||||
// record per-worker terminal status
|
||||
let succ = 0
|
||||
let rn: Int = el_list_len(results)
|
||||
let r = 0
|
||||
while r < rn {
|
||||
let res: String = el_list_get(results, r)
|
||||
let wid: String = json_get_string(res, "worker_id")
|
||||
let st: String = json_get_string(res, "status")
|
||||
if str_eq(st, "completed") {
|
||||
let succ = succ + 1
|
||||
worktrack_append("worker.completed", corr_id, wid, json_set("{}", "status", "completed"))
|
||||
} else {
|
||||
worktrack_append("worker.failed", corr_id, wid, json_set("{}", "error", json_get_string(res, "error")))
|
||||
}
|
||||
let r = r + 1
|
||||
}
|
||||
|
||||
// swarm.converging
|
||||
let vg: String = json_set("{}", "success_count", int_to_str(succ))
|
||||
worktrack_append("swarm.converging", corr_id, corr_id, vg)
|
||||
|
||||
// ── failure threshold (Swarm §4.3), integer per-mille math ──
|
||||
// require succ/n >= min_success_ratio <=> succ*1000 >= permille*n
|
||||
let permille: Int = ratio_to_permille(json_get_string(config_json, "min_success_ratio"))
|
||||
let status: String = "completed"
|
||||
if succ * 1000 < permille * n {
|
||||
let status = "aborted"
|
||||
}
|
||||
|
||||
if str_eq(status, "aborted") {
|
||||
let ap: String = json_set("{}", "reason", "success ratio below min_success_ratio")
|
||||
worktrack_append("swarm.aborted", corr_id, corr_id, ap)
|
||||
let rep: String = worktrack_swarm_report(corr_id)
|
||||
let ok: [String] = el_list_empty()
|
||||
let ok = el_list_append(ok, "corr_id")
|
||||
let ok = el_list_append(ok, corr_id)
|
||||
let ok = el_list_append(ok, "status")
|
||||
let ok = el_list_append(ok, "aborted")
|
||||
let out0: String = json_build_object(ok)
|
||||
return json_set(out0, "report", rep)
|
||||
}
|
||||
|
||||
// ── converge ──
|
||||
let merged: String = swarm_converge(strategy, results)
|
||||
let dp: String = json_set("{}", "strategy", strategy)
|
||||
worktrack_append("swarm.completed", corr_id, corr_id, dp)
|
||||
|
||||
let rep2: String = worktrack_swarm_report(corr_id)
|
||||
let ok2: [String] = el_list_empty()
|
||||
let ok2 = el_list_append(ok2, "corr_id")
|
||||
let ok2 = el_list_append(ok2, corr_id)
|
||||
let ok2 = el_list_append(ok2, "status")
|
||||
let ok2 = el_list_append(ok2, "completed")
|
||||
let out1: String = json_build_object(ok2)
|
||||
let out2: String = json_set(out1, "report", rep2)
|
||||
return json_set(out2, "merged", merged)
|
||||
}
|
||||
// ── denied: caller was a worker trying to open a swarm (Rule 2) ──
|
||||
let dkv: [String] = el_list_empty()
|
||||
let dkv = el_list_append(dkv, "corr_id")
|
||||
let dkv = el_list_append(dkv, corr_id)
|
||||
let dkv = el_list_append(dkv, "status")
|
||||
let dkv = el_list_append(dkv, "denied")
|
||||
let dkv = el_list_append(dkv, "error")
|
||||
let dkv = el_list_append(dkv, deny)
|
||||
return json_build_object(dkv)
|
||||
}
|
||||
@@ -0,0 +1,75 @@
|
||||
// test_swarm.el — end-to-end proof of the swarm capability on native El threads.
|
||||
//
|
||||
// Proves: native-thread fan-out/converge, bounded concurrency, per-worker CCR
|
||||
// bounded context (with the security-boundary property), containment Rule 2
|
||||
// enforcement, and durable work-tracking.
|
||||
|
||||
fn assert_true(label: String, cond: Bool, fails: Int) -> Int {
|
||||
if cond {
|
||||
print(" ok " + label)
|
||||
return fails
|
||||
}
|
||||
print(" FAIL " + label)
|
||||
return fails + 1
|
||||
}
|
||||
|
||||
fn main() -> Int {
|
||||
let fails = 0
|
||||
|
||||
// ── 1) fan-out / converge (collect) over native threads ──
|
||||
let inputs: String = "[\"alpha\",\"bravo\",\"charlie\",\"delta\",\"echo\"]"
|
||||
let refs: String = "[]"
|
||||
let cfg: String = "{\"concurrency\":\"2\",\"strategy\":\"collect\",\"min_success_ratio\":\"1.0\"}"
|
||||
let res: String = swarm_run("analyze_item", refs, inputs, cfg)
|
||||
let status: String = json_get_string(res, "status")
|
||||
let fails = assert_true("swarm completed", str_eq(status, "completed"), fails)
|
||||
|
||||
let merged: String = json_get_raw(res, "merged")
|
||||
let count: Int = json_array_len(merged)
|
||||
let fails = assert_true("collect returned 5 results (bounded concurrency=2)", count == 5, fails)
|
||||
|
||||
// ── 2) work-tracking is durable + complete ──
|
||||
let corr: String = json_get_string(res, "corr_id")
|
||||
let started: Int = worktrack_count_kind(corr, "worker.started")
|
||||
let completed: Int = worktrack_count_kind(corr, "worker.completed")
|
||||
let created: Int = worktrack_count_kind(corr, "swarm.created")
|
||||
let done: Int = worktrack_count_kind(corr, "swarm.completed")
|
||||
let fails = assert_true("tracked 5 worker.started", started == 5, fails)
|
||||
let fails = assert_true("tracked 5 worker.completed", completed == 5, fails)
|
||||
let fails = assert_true("tracked swarm.created + swarm.completed", (created == 1) && (done == 1), fails)
|
||||
|
||||
// ── 3) CCR: bounded, minimal, non-leaking per-worker context ──
|
||||
let wtoken: String = containment_worker_token(corr, corr + "/worker-0")
|
||||
let ctx: String = ccr_compile("analyze_item", refs, "alpha", corr, corr + "/worker-0", wtoken)
|
||||
let in_budget: Bool = ccr_within_budget(ctx)
|
||||
let fails = assert_true("CCR context within token budget", in_budget, fails)
|
||||
let this_input: String = json_get_string(ctx, "input")
|
||||
let fails = assert_true("CCR context contains THIS worker's input", str_eq(this_input, "alpha"), fails)
|
||||
// security boundary: a worker's compiled context must not carry a sibling input
|
||||
let leaks_sibling: Bool = str_contains(ctx, "charlie")
|
||||
let fails = assert_true("CCR context does NOT leak sibling inputs", !leaks_sibling, fails)
|
||||
|
||||
// ── 4) containment Rule 2: a worker may not open a swarm ──
|
||||
let worker_caller_cfg: String = json_set(cfg, "caller_token", wtoken)
|
||||
let denied: String = swarm_run("analyze_item", refs, inputs, worker_caller_cfg)
|
||||
let dstatus: String = json_get_string(denied, "status")
|
||||
let fails = assert_true("worker-token caller denied opening a swarm (Rule 2)", str_eq(dstatus, "denied"), fails)
|
||||
|
||||
// coordinator token IS allowed
|
||||
let coord: String = containment_coordinator_token("some-corr")
|
||||
let allow_reason: String = containment_check_open(coord)
|
||||
let fails = assert_true("coordinator token allowed to open a swarm", str_eq(allow_reason, ""), fails)
|
||||
|
||||
// ── 5) containment Rule 3: no lateral worker->worker edge ──
|
||||
let lateral: String = containment_check_lateral(wtoken, "some-sibling")
|
||||
let fails = assert_true("lateral worker->worker edge rejected (Rule 3)", !str_eq(lateral, ""), fails)
|
||||
let vertical: String = containment_check_lateral(wtoken, "")
|
||||
let fails = assert_true("vertical worker->coordinator edge allowed", str_eq(vertical, ""), fails)
|
||||
|
||||
if fails == 0 {
|
||||
print("PASS test_swarm")
|
||||
return 0
|
||||
}
|
||||
print("FAIL test_swarm (" + int_to_str(fails) + " failures)")
|
||||
return 1
|
||||
}
|
||||
Reference in New Issue
Block a user