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unhardcoded-engine

A small, embeddable policy algebra for LLM provider selection, in pure Lua. You describe what you need from an LLM call (a contract); a policy — composed from four verbs over a declarative catalog — decides which (provider, model) to call, with what request, and what to do on failure. The embedding host performs the I/O.

The four verbs (see docs/POLICY_DESIGN.md):

  • filter — which candidates are eligible (pure predicates).
  • rank / select — order the eligible candidates (pure scorers + selector).
  • mutate — transform the outgoing request for a chosen candidate.
  • sequence — what to do when an attempt fails (declarative, fixed vocabulary).

Two consumers, one language:

  • Off-chain (agent fleets) — a policy that converges on the best available provider: resilience + cost optimization for an agent fleet.
  • On-chain (GenVM greyboxing) — each validator writes its own policy; the ease of writing 1000 different policies, over a well-defined provider object, is the security property. See docs/GENVM-LLM-POLICY.md.

Properties

  • Pure Lua, no I/O, no credentials, no globals. The verbs are pure functions of an explicit ctx; the engine (the impure orchestrator) snapshots runtime state into ctx and performs no I/O itself. Embeddable in lupa (Python), mlua (Rust / GenVM), luerl (Elixir).
  • Two execution modes. Synchronous (execute) and cooperative async (execute_step, yield-on-IO) so one host process overlaps many in-flight calls.
  • Host-resolved auth. Providers declare auth = {kind="none"|"bearer"|"oauth"}; the host turns that into headers. The core never sees a key.
  • Same decision, two runtimes. Given the same (policy, catalog, ctx, seed), selection is identical under mlua and lupa — the defining invariant. The semantics use only correctly-rounded IEEE ops (no transcendentals), so this holds bit-for-bit regardless of libm.
  • Policies are data. Every declarative policy compiles through the Σ_pol IR (see below): serializable terms with a canonical form and an identity hash. Lua closures remain a local-only escape hatch.

The IR (Σ_pol)

A policy is a term — a plain array like { "cmp", "price_out", "le", 25 } — over a closed, versioned signature of operations and an open, declared vocabulary of observation fields (any provider/candidate fits by declaring its fields; the operations never grow per-field). Terms are admitted (check: sorts, arity, bounds), normalized to a canonical form, encoded deterministically (identity = sha256 of the encoding), and interpreted by a ~20-line fold. That buys:

  • Per-call policies:execute({ ..., policy_ir = <term> }) — a policy arriving with the call is data, not code: no I/O, no loops, O(|term|) cost, rejected at admission if malformed. The host envelope (config.policy_envelope) is ∧-ed on so callers narrow, never widen.
  • Policy identity: canonical hash for caching, audit ("request X ran policy H"), and on-chain commitment; trace.policy_fingerprint on every run.
  • Conformance as a checklist: any host, in any language, that reproduces the per-op semantics and replays tests/golden/sigma_pol_v2.json bit-for-bit computes the same decisions. Spec: docs/SIGMA-POL.md.

Package

The core is the llm_policy package; router.lua is a compatibility shim (return require("llm_policy")) so existing embedders keep working.

localllm_policy=require("llm_policy") -- or dofile("router.lua")llm_policy.init(config, metrics)
localresult=llm_policy.execute({
prompt="Classify this feedback as positive / negative / neutral: ...",
requirements= { needs= { "json_mode" }, min_context=4000 },
profile="cheap_explore",
})
ifresult.okthenprint(result.response.text) elseprint(result.error) end

Repo layout

This repo is the core (sealed): pure Lua + a minimal embedding reference (example_host/) + the on-chain adapter overlay (genvm/). The production off-chain host moved to its own repo, genlayerlabs/unhardcoded. The core never references a host — hosts import the core.

# ── core (this repo) ──
llm_policy.lua -- package entry (init / execute / execute_step / rank / …)
llm_policy/
filter.lua rank.lua mutate.lua sequence.lua policy.lua -- the algebra
sig.lua term.lua fields.lua interp.lua elaborate.lua ir.lua
-- the Σ_pol IR (policies as data)
candidate.lua util.lua -- object + helpers
router.lua -- compat shim: return require("llm_policy")
config.example.lua -- example catalog + profiles (schema illustration)
metrics.example.lua -- example metrics seed
docs/
POLICY_DESIGN.md -- the candidate object + the policy algebra
SIGMA-POL.md -- the policy IR: terms, encoding, hashing, reference semantics
GENVM-LLM-POLICY.md -- using llm_policy as a node's greyboxing algebra
example_host/ -- the minimal embedding reference (~80 lines, mock provider)
tests/ -- Lua unit tests (run_lua.lua, unit/, golden/)
golden/ -- sigma_pol_v2.json conformance vectors + generator
genvm/ -- on-chain greybox adapter overlay (dispatch.lua + integrate.sh); tests/

Hosts

  • example_host/ — the minimal embedding reference (~80 lines): load the core, install the host table, init, execute. The "hello world" of embedding llm_policy.
  • Off-chain production hostgenlayerlabs/unhardcoded: the async OpenAI-compatible shim + Codex (ChatGPT subscription) + AntSeed + the auth resolver, serving agent fleets. It vendors this core as a git submodule.
  • On-chain adaptergenvm/dispatch.lua: a drop-in for genlayer-node's genvm-llm-greybox.lua that routes greyboxing through the algebra (see docs/GENVM-LLM-POLICY.md).

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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all
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}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '
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unhardcoded-engine

A small, embeddable policy algebra for LLM provider selection, in pure Lua. You describe what you need from an LLM call (a contract); a policy — composed from four verbs over a declarative catalog — decides which (provider, model) to call, with what request, and what to do on failure. The embedding host performs the I/O.

The four verbs (see docs/POLICY_DESIGN.md):

  • filter — which candidates are eligible (pure predicates).
  • rank / select — order the eligible candidates (pure scorers + selector).
  • mutate — transform the outgoing request for a chosen candidate.
  • sequence — what to do when an attempt fails (declarative, fixed vocabulary).

Two consumers, one language:

  • Off-chain (agent fleets) — a policy that converges on the best available provider: resilience + cost optimization for an agent fleet.
  • On-chain (GenVM greyboxing) — each validator writes its own policy; the ease of writing 1000 different policies, over a well-defined provider object, is the security property. See docs/GENVM-LLM-POLICY.md.

Properties

  • Pure Lua, no I/O, no credentials, no globals. The verbs are pure functions of an explicit ctx; the engine (the impure orchestrator) snapshots runtime state into ctx and performs no I/O itself. Embeddable in lupa (Python), mlua (Rust / GenVM), luerl (Elixir).
  • Two execution modes. Synchronous (execute) and cooperative async (execute_step, yield-on-IO) so one host process overlaps many in-flight calls.
  • Host-resolved auth. Providers declare auth = {kind="none"|"bearer"|"oauth"}; the host turns that into headers. The core never sees a key.
  • Same decision, two runtimes. Given the same (policy, catalog, ctx, seed), selection is identical under mlua and lupa — the defining invariant. The semantics use only correctly-rounded IEEE ops (no transcendentals), so this holds bit-for-bit regardless of libm.
  • Policies are data. Every declarative policy compiles through the Σ_pol IR (see below): serializable terms with a canonical form and an identity hash. Lua closures remain a local-only escape hatch.

The IR (Σ_pol)

A policy is a term — a plain array like { "cmp", "price_out", "le", 25 } — over a closed, versioned signature of operations and an open, declared vocabulary of observation fields (any provider/candidate fits by declaring its fields; the operations never grow per-field). Terms are admitted (check: sorts, arity, bounds), normalized to a canonical form, encoded deterministically (identity = sha256 of the encoding), and interpreted by a ~20-line fold. That buys:

  • Per-call policies:execute({ ..., policy_ir = <term> }) — a policy arriving with the call is data, not code: no I/O, no loops, O(|term|) cost, rejected at admission if malformed. The host envelope (config.policy_envelope) is ∧-ed on so callers narrow, never widen.
  • Policy identity: canonical hash for caching, audit ("request X ran policy H"), and on-chain commitment; trace.policy_fingerprint on every run.
  • Conformance as a checklist: any host, in any language, that reproduces the per-op semantics and replays tests/golden/sigma_pol_v2.json bit-for-bit computes the same decisions. Spec: docs/SIGMA-POL.md.

Package

The core is the llm_policy package; router.lua is a compatibility shim (return require("llm_policy")) so existing embedders keep working.

localllm_policy=require("llm_policy") -- or dofile("router.lua")llm_policy.init(config, metrics)
localresult=llm_policy.execute({
prompt="Classify this feedback as positive / negative / neutral: ...",
requirements= { needs= { "json_mode" }, min_context=4000 },
profile="cheap_explore",
})
ifresult.okthenprint(result.response.text) elseprint(result.error) end

Repo layout

This repo is the core (sealed): pure Lua + a minimal embedding reference (example_host/) + the on-chain adapter overlay (genvm/). The production off-chain host moved to its own repo, genlayerlabs/unhardcoded. The core never references a host — hosts import the core.

# ── core (this repo) ──
llm_policy.lua -- package entry (init / execute / execute_step / rank / …)
llm_policy/
filter.lua rank.lua mutate.lua sequence.lua policy.lua -- the algebra
sig.lua term.lua fields.lua interp.lua elaborate.lua ir.lua
-- the Σ_pol IR (policies as data)
candidate.lua util.lua -- object + helpers
router.lua -- compat shim: return require("llm_policy")
config.example.lua -- example catalog + profiles (schema illustration)
metrics.example.lua -- example metrics seed
docs/
POLICY_DESIGN.md -- the candidate object + the policy algebra
SIGMA-POL.md -- the policy IR: terms, encoding, hashing, reference semantics
GENVM-LLM-POLICY.md -- using llm_policy as a node's greyboxing algebra
example_host/ -- the minimal embedding reference (~80 lines, mock provider)
tests/ -- Lua unit tests (run_lua.lua, unit/, golden/)
golden/ -- sigma_pol_v2.json conformance vectors + generator
genvm/ -- on-chain greybox adapter overlay (dispatch.lua + integrate.sh); tests/

Hosts

  • example_host/ — the minimal embedding reference (~80 lines): load the core, install the host table, init, execute. The "hello world" of embedding llm_policy.
  • Off-chain production hostgenlayerlabs/unhardcoded: the async OpenAI-compatible shim + Codex (ChatGPT subscription) + AntSeed + the auth resolver, serving agent fleets. It vendors this core as a git submodule.
  • On-chain adaptergenvm/dispatch.lua: a drop-in for genlayer-node's genvm-llm-greybox.lua that routes greyboxing through the algebra (see docs/GENVM-LLM-POLICY.md).

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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix"); } } catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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unhardcoded-engine

A small, embeddable policy algebra for LLM provider selection, in pure Lua. You describe what you need from an LLM call (a contract); a policy — composed from four verbs over a declarative catalog — decides which (provider, model) to call, with what request, and what to do on failure. The embedding host performs the I/O.

The four verbs (see docs/POLICY_DESIGN.md):

  • filter — which candidates are eligible (pure predicates).
  • rank / select — order the eligible candidates (pure scorers + selector).
  • mutate — transform the outgoing request for a chosen candidate.
  • sequence — what to do when an attempt fails (declarative, fixed vocabulary).

Two consumers, one language:

  • Off-chain (agent fleets) — a policy that converges on the best available provider: resilience + cost optimization for an agent fleet.
  • On-chain (GenVM greyboxing) — each validator writes its own policy; the ease of writing 1000 different policies, over a well-defined provider object, is the security property. See docs/GENVM-LLM-POLICY.md.

Properties

  • Pure Lua, no I/O, no credentials, no globals. The verbs are pure functions of an explicit ctx; the engine (the impure orchestrator) snapshots runtime state into ctx and performs no I/O itself. Embeddable in lupa (Python), mlua (Rust / GenVM), luerl (Elixir).
  • Two execution modes. Synchronous (execute) and cooperative async (execute_step, yield-on-IO) so one host process overlaps many in-flight calls.
  • Host-resolved auth. Providers declare auth = {kind="none"|"bearer"|"oauth"}; the host turns that into headers. The core never sees a key.
  • Same decision, two runtimes. Given the same (policy, catalog, ctx, seed), selection is identical under mlua and lupa — the defining invariant. The semantics use only correctly-rounded IEEE ops (no transcendentals), so this holds bit-for-bit regardless of libm.
  • Policies are data. Every declarative policy compiles through the Σ_pol IR (see below): serializable terms with a canonical form and an identity hash. Lua closures remain a local-only escape hatch.

The IR (Σ_pol)

A policy is a term — a plain array like { "cmp", "price_out", "le", 25 } — over a closed, versioned signature of operations and an open, declared vocabulary of observation fields (any provider/candidate fits by declaring its fields; the operations never grow per-field). Terms are admitted (check: sorts, arity, bounds), normalized to a canonical form, encoded deterministically (identity = sha256 of the encoding), and interpreted by a ~20-line fold. That buys:

  • Per-call policies:execute({ ..., policy_ir = <term> }) — a policy arriving with the call is data, not code: no I/O, no loops, O(|term|) cost, rejected at admission if malformed. The host envelope (config.policy_envelope) is ∧-ed on so callers narrow, never widen.
  • Policy identity: canonical hash for caching, audit ("request X ran policy H"), and on-chain commitment; trace.policy_fingerprint on every run.
  • Conformance as a checklist: any host, in any language, that reproduces the per-op semantics and replays tests/golden/sigma_pol_v2.json bit-for-bit computes the same decisions. Spec: docs/SIGMA-POL.md.

Package

The core is the llm_policy package; router.lua is a compatibility shim (return require("llm_policy")) so existing embedders keep working.

localllm_policy=require("llm_policy") -- or dofile("router.lua")llm_policy.init(config, metrics)
localresult=llm_policy.execute({
prompt="Classify this feedback as positive / negative / neutral: ...",
requirements= { needs= { "json_mode" }, min_context=4000 },
profile="cheap_explore",
})
ifresult.okthenprint(result.response.text) elseprint(result.error) end

Repo layout

This repo is the core (sealed): pure Lua + a minimal embedding reference (example_host/) + the on-chain adapter overlay (genvm/). The production off-chain host moved to its own repo, genlayerlabs/unhardcoded. The core never references a host — hosts import the core.

# ── core (this repo) ──
llm_policy.lua -- package entry (init / execute / execute_step / rank / …)
llm_policy/
filter.lua rank.lua mutate.lua sequence.lua policy.lua -- the algebra
sig.lua term.lua fields.lua interp.lua elaborate.lua ir.lua
-- the Σ_pol IR (policies as data)
candidate.lua util.lua -- object + helpers
router.lua -- compat shim: return require("llm_policy")
config.example.lua -- example catalog + profiles (schema illustration)
metrics.example.lua -- example metrics seed
docs/
POLICY_DESIGN.md -- the candidate object + the policy algebra
SIGMA-POL.md -- the policy IR: terms, encoding, hashing, reference semantics
GENVM-LLM-POLICY.md -- using llm_policy as a node's greyboxing algebra
example_host/ -- the minimal embedding reference (~80 lines, mock provider)
tests/ -- Lua unit tests (run_lua.lua, unit/, golden/)
golden/ -- sigma_pol_v2.json conformance vectors + generator
genvm/ -- on-chain greybox adapter overlay (dispatch.lua + integrate.sh); tests/

Hosts

  • example_host/ — the minimal embedding reference (~80 lines): load the core, install the host table, init, execute. The "hello world" of embedding llm_policy.
  • Off-chain production hostgenlayerlabs/unhardcoded: the async OpenAI-compatible shim + Codex (ChatGPT subscription) + AntSeed + the auth resolver, serving agent fleets. It vendors this core as a git submodule.
  • On-chain adaptergenvm/dispatch.lua: a drop-in for genlayer-node's genvm-llm-greybox.lua that routes greyboxing through the algebra (see docs/GENVM-LLM-POLICY.md).

About

No description, website, or topics provided.

Resources

Stars

6 stars

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0 watching

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Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms"); } } catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
Skip to content

Repository files navigation

unhardcoded-engine

A small, embeddable policy algebra for LLM provider selection, in pure Lua. You describe what you need from an LLM call (a contract); a policy — composed from four verbs over a declarative catalog — decides which (provider, model) to call, with what request, and what to do on failure. The embedding host performs the I/O.

The four verbs (see docs/POLICY_DESIGN.md):

  • filter — which candidates are eligible (pure predicates).
  • rank / select — order the eligible candidates (pure scorers + selector).
  • mutate — transform the outgoing request for a chosen candidate.
  • sequence — what to do when an attempt fails (declarative, fixed vocabulary).

Two consumers, one language:

  • Off-chain (agent fleets) — a policy that converges on the best available provider: resilience + cost optimization for an agent fleet.
  • On-chain (GenVM greyboxing) — each validator writes its own policy; the ease of writing 1000 different policies, over a well-defined provider object, is the security property. See docs/GENVM-LLM-POLICY.md.

Properties

  • Pure Lua, no I/O, no credentials, no globals. The verbs are pure functions of an explicit ctx; the engine (the impure orchestrator) snapshots runtime state into ctx and performs no I/O itself. Embeddable in lupa (Python), mlua (Rust / GenVM), luerl (Elixir).
  • Two execution modes. Synchronous (execute) and cooperative async (execute_step, yield-on-IO) so one host process overlaps many in-flight calls.
  • Host-resolved auth. Providers declare auth = {kind="none"|"bearer"|"oauth"}; the host turns that into headers. The core never sees a key.
  • Same decision, two runtimes. Given the same (policy, catalog, ctx, seed), selection is identical under mlua and lupa — the defining invariant. The semantics use only correctly-rounded IEEE ops (no transcendentals), so this holds bit-for-bit regardless of libm.
  • Policies are data. Every declarative policy compiles through the Σ_pol IR (see below): serializable terms with a canonical form and an identity hash. Lua closures remain a local-only escape hatch.

The IR (Σ_pol)

A policy is a term — a plain array like { "cmp", "price_out", "le", 25 } — over a closed, versioned signature of operations and an open, declared vocabulary of observation fields (any provider/candidate fits by declaring its fields; the operations never grow per-field). Terms are admitted (check: sorts, arity, bounds), normalized to a canonical form, encoded deterministically (identity = sha256 of the encoding), and interpreted by a ~20-line fold. That buys:

  • Per-call policies:execute({ ..., policy_ir = <term> }) — a policy arriving with the call is data, not code: no I/O, no loops, O(|term|) cost, rejected at admission if malformed. The host envelope (config.policy_envelope) is ∧-ed on so callers narrow, never widen.
  • Policy identity: canonical hash for caching, audit ("request X ran policy H"), and on-chain commitment; trace.policy_fingerprint on every run.
  • Conformance as a checklist: any host, in any language, that reproduces the per-op semantics and replays tests/golden/sigma_pol_v2.json bit-for-bit computes the same decisions. Spec: docs/SIGMA-POL.md.

Package

The core is the llm_policy package; router.lua is a compatibility shim (return require("llm_policy")) so existing embedders keep working.

localllm_policy=require("llm_policy") -- or dofile("router.lua")llm_policy.init(config, metrics)
localresult=llm_policy.execute({
prompt="Classify this feedback as positive / negative / neutral: ...",
requirements= { needs= { "json_mode" }, min_context=4000 },
profile="cheap_explore",
})
ifresult.okthenprint(result.response.text) elseprint(result.error) end

Repo layout

This repo is the core (sealed): pure Lua + a minimal embedding reference (example_host/) + the on-chain adapter overlay (genvm/). The production off-chain host moved to its own repo, genlayerlabs/unhardcoded. The core never references a host — hosts import the core.

# ── core (this repo) ──
llm_policy.lua -- package entry (init / execute / execute_step / rank / …)
llm_policy/
filter.lua rank.lua mutate.lua sequence.lua policy.lua -- the algebra
sig.lua term.lua fields.lua interp.lua elaborate.lua ir.lua
-- the Σ_pol IR (policies as data)
candidate.lua util.lua -- object + helpers
router.lua -- compat shim: return require("llm_policy")
config.example.lua -- example catalog + profiles (schema illustration)
metrics.example.lua -- example metrics seed
docs/
POLICY_DESIGN.md -- the candidate object + the policy algebra
SIGMA-POL.md -- the policy IR: terms, encoding, hashing, reference semantics
GENVM-LLM-POLICY.md -- using llm_policy as a node's greyboxing algebra
example_host/ -- the minimal embedding reference (~80 lines, mock provider)
tests/ -- Lua unit tests (run_lua.lua, unit/, golden/)
golden/ -- sigma_pol_v2.json conformance vectors + generator
genvm/ -- on-chain greybox adapter overlay (dispatch.lua + integrate.sh); tests/

Hosts

  • example_host/ — the minimal embedding reference (~80 lines): load the core, install the host table, init, execute. The "hello world" of embedding llm_policy.
  • Off-chain production hostgenlayerlabs/unhardcoded: the async OpenAI-compatible shim + Codex (ChatGPT subscription) + AntSeed + the auth resolver, serving agent fleets. It vendors this core as a git submodule.
  • On-chain adaptergenvm/dispatch.lua: a drop-in for genlayer-node's genvm-llm-greybox.lua that routes greyboxing through the algebra (see docs/GENVM-LLM-POLICY.md).

About

No description, website, or topics provided.

Resources

Stars

6 stars

Watchers

0 watching

Forks

Releases

Packages

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links"); } } catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); } })(); (function(){ try { var __m = "youtube.com"; var __re = new RegExp('^' + "youtube\\.com" + '
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unhardcoded-engine

A small, embeddable policy algebra for LLM provider selection, in pure Lua. You describe what you need from an LLM call (a contract); a policy — composed from four verbs over a declarative catalog — decides which (provider, model) to call, with what request, and what to do on failure. The embedding host performs the I/O.

The four verbs (see docs/POLICY_DESIGN.md):

  • filter — which candidates are eligible (pure predicates).
  • rank / select — order the eligible candidates (pure scorers + selector).
  • mutate — transform the outgoing request for a chosen candidate.
  • sequence — what to do when an attempt fails (declarative, fixed vocabulary).

Two consumers, one language:

  • Off-chain (agent fleets) — a policy that converges on the best available provider: resilience + cost optimization for an agent fleet.
  • On-chain (GenVM greyboxing) — each validator writes its own policy; the ease of writing 1000 different policies, over a well-defined provider object, is the security property. See docs/GENVM-LLM-POLICY.md.

Properties

  • Pure Lua, no I/O, no credentials, no globals. The verbs are pure functions of an explicit ctx; the engine (the impure orchestrator) snapshots runtime state into ctx and performs no I/O itself. Embeddable in lupa (Python), mlua (Rust / GenVM), luerl (Elixir).
  • Two execution modes. Synchronous (execute) and cooperative async (execute_step, yield-on-IO) so one host process overlaps many in-flight calls.
  • Host-resolved auth. Providers declare auth = {kind="none"|"bearer"|"oauth"}; the host turns that into headers. The core never sees a key.
  • Same decision, two runtimes. Given the same (policy, catalog, ctx, seed), selection is identical under mlua and lupa — the defining invariant. The semantics use only correctly-rounded IEEE ops (no transcendentals), so this holds bit-for-bit regardless of libm.
  • Policies are data. Every declarative policy compiles through the Σ_pol IR (see below): serializable terms with a canonical form and an identity hash. Lua closures remain a local-only escape hatch.

The IR (Σ_pol)

A policy is a term — a plain array like { "cmp", "price_out", "le", 25 } — over a closed, versioned signature of operations and an open, declared vocabulary of observation fields (any provider/candidate fits by declaring its fields; the operations never grow per-field). Terms are admitted (check: sorts, arity, bounds), normalized to a canonical form, encoded deterministically (identity = sha256 of the encoding), and interpreted by a ~20-line fold. That buys:

  • Per-call policies:execute({ ..., policy_ir = <term> }) — a policy arriving with the call is data, not code: no I/O, no loops, O(|term|) cost, rejected at admission if malformed. The host envelope (config.policy_envelope) is ∧-ed on so callers narrow, never widen.
  • Policy identity: canonical hash for caching, audit ("request X ran policy H"), and on-chain commitment; trace.policy_fingerprint on every run.
  • Conformance as a checklist: any host, in any language, that reproduces the per-op semantics and replays tests/golden/sigma_pol_v2.json bit-for-bit computes the same decisions. Spec: docs/SIGMA-POL.md.

Package

The core is the llm_policy package; router.lua is a compatibility shim (return require("llm_policy")) so existing embedders keep working.

localllm_policy=require("llm_policy") -- or dofile("router.lua")llm_policy.init(config, metrics)
localresult=llm_policy.execute({
prompt="Classify this feedback as positive / negative / neutral: ...",
requirements= { needs= { "json_mode" }, min_context=4000 },
profile="cheap_explore",
})
ifresult.okthenprint(result.response.text) elseprint(result.error) end

Repo layout

This repo is the core (sealed): pure Lua + a minimal embedding reference (example_host/) + the on-chain adapter overlay (genvm/). The production off-chain host moved to its own repo, genlayerlabs/unhardcoded. The core never references a host — hosts import the core.

# ── core (this repo) ──
llm_policy.lua -- package entry (init / execute / execute_step / rank / …)
llm_policy/
filter.lua rank.lua mutate.lua sequence.lua policy.lua -- the algebra
sig.lua term.lua fields.lua interp.lua elaborate.lua ir.lua
-- the Σ_pol IR (policies as data)
candidate.lua util.lua -- object + helpers
router.lua -- compat shim: return require("llm_policy")
config.example.lua -- example catalog + profiles (schema illustration)
metrics.example.lua -- example metrics seed
docs/
POLICY_DESIGN.md -- the candidate object + the policy algebra
SIGMA-POL.md -- the policy IR: terms, encoding, hashing, reference semantics
GENVM-LLM-POLICY.md -- using llm_policy as a node's greyboxing algebra
example_host/ -- the minimal embedding reference (~80 lines, mock provider)
tests/ -- Lua unit tests (run_lua.lua, unit/, golden/)
golden/ -- sigma_pol_v2.json conformance vectors + generator
genvm/ -- on-chain greybox adapter overlay (dispatch.lua + integrate.sh); tests/

Hosts

  • example_host/ — the minimal embedding reference (~80 lines): load the core, install the host table, init, execute. The "hello world" of embedding llm_policy.
  • Off-chain production hostgenlayerlabs/unhardcoded: the async OpenAI-compatible shim + Codex (ChatGPT subscription) + AntSeed + the auth resolver, serving agent fleets. It vendors this core as a git submodule.
  • On-chain adaptergenvm/dispatch.lua: a drop-in for genlayer-node's genvm-llm-greybox.lua that routes greyboxing through the algebra (see docs/GENVM-LLM-POLICY.md).

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6 stars

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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default"); } } catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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unhardcoded-engine

A small, embeddable policy algebra for LLM provider selection, in pure Lua. You describe what you need from an LLM call (a contract); a policy — composed from four verbs over a declarative catalog — decides which (provider, model) to call, with what request, and what to do on failure. The embedding host performs the I/O.

The four verbs (see docs/POLICY_DESIGN.md):

  • filter — which candidates are eligible (pure predicates).
  • rank / select — order the eligible candidates (pure scorers + selector).
  • mutate — transform the outgoing request for a chosen candidate.
  • sequence — what to do when an attempt fails (declarative, fixed vocabulary).

Two consumers, one language:

  • Off-chain (agent fleets) — a policy that converges on the best available provider: resilience + cost optimization for an agent fleet.
  • On-chain (GenVM greyboxing) — each validator writes its own policy; the ease of writing 1000 different policies, over a well-defined provider object, is the security property. See docs/GENVM-LLM-POLICY.md.

Properties

  • Pure Lua, no I/O, no credentials, no globals. The verbs are pure functions of an explicit ctx; the engine (the impure orchestrator) snapshots runtime state into ctx and performs no I/O itself. Embeddable in lupa (Python), mlua (Rust / GenVM), luerl (Elixir).
  • Two execution modes. Synchronous (execute) and cooperative async (execute_step, yield-on-IO) so one host process overlaps many in-flight calls.
  • Host-resolved auth. Providers declare auth = {kind="none"|"bearer"|"oauth"}; the host turns that into headers. The core never sees a key.
  • Same decision, two runtimes. Given the same (policy, catalog, ctx, seed), selection is identical under mlua and lupa — the defining invariant. The semantics use only correctly-rounded IEEE ops (no transcendentals), so this holds bit-for-bit regardless of libm.
  • Policies are data. Every declarative policy compiles through the Σ_pol IR (see below): serializable terms with a canonical form and an identity hash. Lua closures remain a local-only escape hatch.

The IR (Σ_pol)

A policy is a term — a plain array like { "cmp", "price_out", "le", 25 } — over a closed, versioned signature of operations and an open, declared vocabulary of observation fields (any provider/candidate fits by declaring its fields; the operations never grow per-field). Terms are admitted (check: sorts, arity, bounds), normalized to a canonical form, encoded deterministically (identity = sha256 of the encoding), and interpreted by a ~20-line fold. That buys:

  • Per-call policies:execute({ ..., policy_ir = <term> }) — a policy arriving with the call is data, not code: no I/O, no loops, O(|term|) cost, rejected at admission if malformed. The host envelope (config.policy_envelope) is ∧-ed on so callers narrow, never widen.
  • Policy identity: canonical hash for caching, audit ("request X ran policy H"), and on-chain commitment; trace.policy_fingerprint on every run.
  • Conformance as a checklist: any host, in any language, that reproduces the per-op semantics and replays tests/golden/sigma_pol_v2.json bit-for-bit computes the same decisions. Spec: docs/SIGMA-POL.md.

Package

The core is the llm_policy package; router.lua is a compatibility shim (return require("llm_policy")) so existing embedders keep working.

localllm_policy=require("llm_policy") -- or dofile("router.lua")llm_policy.init(config, metrics)
localresult=llm_policy.execute({
prompt="Classify this feedback as positive / negative / neutral: ...",
requirements= { needs= { "json_mode" }, min_context=4000 },
profile="cheap_explore",
})
ifresult.okthenprint(result.response.text) elseprint(result.error) end

Repo layout

This repo is the core (sealed): pure Lua + a minimal embedding reference (example_host/) + the on-chain adapter overlay (genvm/). The production off-chain host moved to its own repo, genlayerlabs/unhardcoded. The core never references a host — hosts import the core.

# ── core (this repo) ──
llm_policy.lua -- package entry (init / execute / execute_step / rank / …)
llm_policy/
filter.lua rank.lua mutate.lua sequence.lua policy.lua -- the algebra
sig.lua term.lua fields.lua interp.lua elaborate.lua ir.lua
-- the Σ_pol IR (policies as data)
candidate.lua util.lua -- object + helpers
router.lua -- compat shim: return require("llm_policy")
config.example.lua -- example catalog + profiles (schema illustration)
metrics.example.lua -- example metrics seed
docs/
POLICY_DESIGN.md -- the candidate object + the policy algebra
SIGMA-POL.md -- the policy IR: terms, encoding, hashing, reference semantics
GENVM-LLM-POLICY.md -- using llm_policy as a node's greyboxing algebra
example_host/ -- the minimal embedding reference (~80 lines, mock provider)
tests/ -- Lua unit tests (run_lua.lua, unit/, golden/)
golden/ -- sigma_pol_v2.json conformance vectors + generator
genvm/ -- on-chain greybox adapter overlay (dispatch.lua + integrate.sh); tests/

Hosts

  • example_host/ — the minimal embedding reference (~80 lines): load the core, install the host table, init, execute. The "hello world" of embedding llm_policy.
  • Off-chain production hostgenlayerlabs/unhardcoded: the async OpenAI-compatible shim + Codex (ChatGPT subscription) + AntSeed + the auth resolver, serving agent fleets. It vendors this core as a git submodule.
  • On-chain adaptergenvm/dispatch.lua: a drop-in for genlayer-node's genvm-llm-greybox.lua that routes greyboxing through the algebra (see docs/GENVM-LLM-POLICY.md).

About

No description, website, or topics provided.

Resources

Stars

6 stars

Watchers

0 watching

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Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers"); } } catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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unhardcoded-engine

A small, embeddable policy algebra for LLM provider selection, in pure Lua. You describe what you need from an LLM call (a contract); a policy — composed from four verbs over a declarative catalog — decides which (provider, model) to call, with what request, and what to do on failure. The embedding host performs the I/O.

The four verbs (see docs/POLICY_DESIGN.md):

  • filter — which candidates are eligible (pure predicates).
  • rank / select — order the eligible candidates (pure scorers + selector).
  • mutate — transform the outgoing request for a chosen candidate.
  • sequence — what to do when an attempt fails (declarative, fixed vocabulary).

Two consumers, one language:

  • Off-chain (agent fleets) — a policy that converges on the best available provider: resilience + cost optimization for an agent fleet.
  • On-chain (GenVM greyboxing) — each validator writes its own policy; the ease of writing 1000 different policies, over a well-defined provider object, is the security property. See docs/GENVM-LLM-POLICY.md.

Properties

  • Pure Lua, no I/O, no credentials, no globals. The verbs are pure functions of an explicit ctx; the engine (the impure orchestrator) snapshots runtime state into ctx and performs no I/O itself. Embeddable in lupa (Python), mlua (Rust / GenVM), luerl (Elixir).
  • Two execution modes. Synchronous (execute) and cooperative async (execute_step, yield-on-IO) so one host process overlaps many in-flight calls.
  • Host-resolved auth. Providers declare auth = {kind="none"|"bearer"|"oauth"}; the host turns that into headers. The core never sees a key.
  • Same decision, two runtimes. Given the same (policy, catalog, ctx, seed), selection is identical under mlua and lupa — the defining invariant. The semantics use only correctly-rounded IEEE ops (no transcendentals), so this holds bit-for-bit regardless of libm.
  • Policies are data. Every declarative policy compiles through the Σ_pol IR (see below): serializable terms with a canonical form and an identity hash. Lua closures remain a local-only escape hatch.

The IR (Σ_pol)

A policy is a term — a plain array like { "cmp", "price_out", "le", 25 } — over a closed, versioned signature of operations and an open, declared vocabulary of observation fields (any provider/candidate fits by declaring its fields; the operations never grow per-field). Terms are admitted (check: sorts, arity, bounds), normalized to a canonical form, encoded deterministically (identity = sha256 of the encoding), and interpreted by a ~20-line fold. That buys:

  • Per-call policies:execute({ ..., policy_ir = <term> }) — a policy arriving with the call is data, not code: no I/O, no loops, O(|term|) cost, rejected at admission if malformed. The host envelope (config.policy_envelope) is ∧-ed on so callers narrow, never widen.
  • Policy identity: canonical hash for caching, audit ("request X ran policy H"), and on-chain commitment; trace.policy_fingerprint on every run.
  • Conformance as a checklist: any host, in any language, that reproduces the per-op semantics and replays tests/golden/sigma_pol_v2.json bit-for-bit computes the same decisions. Spec: docs/SIGMA-POL.md.

Package

The core is the llm_policy package; router.lua is a compatibility shim (return require("llm_policy")) so existing embedders keep working.

localllm_policy=require("llm_policy") -- or dofile("router.lua")llm_policy.init(config, metrics)
localresult=llm_policy.execute({
prompt="Classify this feedback as positive / negative / neutral: ...",
requirements= { needs= { "json_mode" }, min_context=4000 },
profile="cheap_explore",
})
ifresult.okthenprint(result.response.text) elseprint(result.error) end

Repo layout

This repo is the core (sealed): pure Lua + a minimal embedding reference (example_host/) + the on-chain adapter overlay (genvm/). The production off-chain host moved to its own repo, genlayerlabs/unhardcoded. The core never references a host — hosts import the core.

# ── core (this repo) ──
llm_policy.lua -- package entry (init / execute / execute_step / rank / …)
llm_policy/
filter.lua rank.lua mutate.lua sequence.lua policy.lua -- the algebra
sig.lua term.lua fields.lua interp.lua elaborate.lua ir.lua
-- the Σ_pol IR (policies as data)
candidate.lua util.lua -- object + helpers
router.lua -- compat shim: return require("llm_policy")
config.example.lua -- example catalog + profiles (schema illustration)
metrics.example.lua -- example metrics seed
docs/
POLICY_DESIGN.md -- the candidate object + the policy algebra
SIGMA-POL.md -- the policy IR: terms, encoding, hashing, reference semantics
GENVM-LLM-POLICY.md -- using llm_policy as a node's greyboxing algebra
example_host/ -- the minimal embedding reference (~80 lines, mock provider)
tests/ -- Lua unit tests (run_lua.lua, unit/, golden/)
golden/ -- sigma_pol_v2.json conformance vectors + generator
genvm/ -- on-chain greybox adapter overlay (dispatch.lua + integrate.sh); tests/

Hosts

  • example_host/ — the minimal embedding reference (~80 lines): load the core, install the host table, init, execute. The "hello world" of embedding llm_policy.
  • Off-chain production hostgenlayerlabs/unhardcoded: the async OpenAI-compatible shim + Codex (ChatGPT subscription) + AntSeed + the auth resolver, serving agent fleets. It vendors this core as a git submodule.
  • On-chain adaptergenvm/dispatch.lua: a drop-in for genlayer-node's genvm-llm-greybox.lua that routes greyboxing through the algebra (see docs/GENVM-LLM-POLICY.md).

About

No description, website, or topics provided.

Resources

Stars

6 stars

Watchers

0 watching

Forks

Releases

Packages

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode"); } } catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); } })(); })();
Skip to content

Repository files navigation

unhardcoded-engine

A small, embeddable policy algebra for LLM provider selection, in pure Lua. You describe what you need from an LLM call (a contract); a policy — composed from four verbs over a declarative catalog — decides which (provider, model) to call, with what request, and what to do on failure. The embedding host performs the I/O.

The four verbs (see docs/POLICY_DESIGN.md):

  • filter — which candidates are eligible (pure predicates).
  • rank / select — order the eligible candidates (pure scorers + selector).
  • mutate — transform the outgoing request for a chosen candidate.
  • sequence — what to do when an attempt fails (declarative, fixed vocabulary).

Two consumers, one language:

  • Off-chain (agent fleets) — a policy that converges on the best available provider: resilience + cost optimization for an agent fleet.
  • On-chain (GenVM greyboxing) — each validator writes its own policy; the ease of writing 1000 different policies, over a well-defined provider object, is the security property. See docs/GENVM-LLM-POLICY.md.

Properties

  • Pure Lua, no I/O, no credentials, no globals. The verbs are pure functions of an explicit ctx; the engine (the impure orchestrator) snapshots runtime state into ctx and performs no I/O itself. Embeddable in lupa (Python), mlua (Rust / GenVM), luerl (Elixir).
  • Two execution modes. Synchronous (execute) and cooperative async (execute_step, yield-on-IO) so one host process overlaps many in-flight calls.
  • Host-resolved auth. Providers declare auth = {kind="none"|"bearer"|"oauth"}; the host turns that into headers. The core never sees a key.
  • Same decision, two runtimes. Given the same (policy, catalog, ctx, seed), selection is identical under mlua and lupa — the defining invariant. The semantics use only correctly-rounded IEEE ops (no transcendentals), so this holds bit-for-bit regardless of libm.
  • Policies are data. Every declarative policy compiles through the Σ_pol IR (see below): serializable terms with a canonical form and an identity hash. Lua closures remain a local-only escape hatch.

The IR (Σ_pol)

A policy is a term — a plain array like { "cmp", "price_out", "le", 25 } — over a closed, versioned signature of operations and an open, declared vocabulary of observation fields (any provider/candidate fits by declaring its fields; the operations never grow per-field). Terms are admitted (check: sorts, arity, bounds), normalized to a canonical form, encoded deterministically (identity = sha256 of the encoding), and interpreted by a ~20-line fold. That buys:

  • Per-call policies:execute({ ..., policy_ir = <term> }) — a policy arriving with the call is data, not code: no I/O, no loops, O(|term|) cost, rejected at admission if malformed. The host envelope (config.policy_envelope) is ∧-ed on so callers narrow, never widen.
  • Policy identity: canonical hash for caching, audit ("request X ran policy H"), and on-chain commitment; trace.policy_fingerprint on every run.
  • Conformance as a checklist: any host, in any language, that reproduces the per-op semantics and replays tests/golden/sigma_pol_v2.json bit-for-bit computes the same decisions. Spec: docs/SIGMA-POL.md.

Package

The core is the llm_policy package; router.lua is a compatibility shim (return require("llm_policy")) so existing embedders keep working.

localllm_policy=require("llm_policy") -- or dofile("router.lua")llm_policy.init(config, metrics)
localresult=llm_policy.execute({
prompt="Classify this feedback as positive / negative / neutral: ...",
requirements= { needs= { "json_mode" }, min_context=4000 },
profile="cheap_explore",
})
ifresult.okthenprint(result.response.text) elseprint(result.error) end

Repo layout

This repo is the core (sealed): pure Lua + a minimal embedding reference (example_host/) + the on-chain adapter overlay (genvm/). The production off-chain host moved to its own repo, genlayerlabs/unhardcoded. The core never references a host — hosts import the core.

# ── core (this repo) ──
llm_policy.lua -- package entry (init / execute / execute_step / rank / …)
llm_policy/
filter.lua rank.lua mutate.lua sequence.lua policy.lua -- the algebra
sig.lua term.lua fields.lua interp.lua elaborate.lua ir.lua
-- the Σ_pol IR (policies as data)
candidate.lua util.lua -- object + helpers
router.lua -- compat shim: return require("llm_policy")
config.example.lua -- example catalog + profiles (schema illustration)
metrics.example.lua -- example metrics seed
docs/
POLICY_DESIGN.md -- the candidate object + the policy algebra
SIGMA-POL.md -- the policy IR: terms, encoding, hashing, reference semantics
GENVM-LLM-POLICY.md -- using llm_policy as a node's greyboxing algebra
example_host/ -- the minimal embedding reference (~80 lines, mock provider)
tests/ -- Lua unit tests (run_lua.lua, unit/, golden/)
golden/ -- sigma_pol_v2.json conformance vectors + generator
genvm/ -- on-chain greybox adapter overlay (dispatch.lua + integrate.sh); tests/

Hosts

  • example_host/ — the minimal embedding reference (~80 lines): load the core, install the host table, init, execute. The "hello world" of embedding llm_policy.
  • Off-chain production hostgenlayerlabs/unhardcoded: the async OpenAI-compatible shim + Codex (ChatGPT subscription) + AntSeed + the auth resolver, serving agent fleets. It vendors this core as a git submodule.
  • On-chain adaptergenvm/dispatch.lua: a drop-in for genlayer-node's genvm-llm-greybox.lua that routes greyboxing through the algebra (see docs/GENVM-LLM-POLICY.md).

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