Enable seamless execution and coordination of code across **5 language ecosystems** (Babashka, Julia, Python, OCaml, Scheme) with unified dispatch, data marshalling, and result aggregation. Like Docker Compose for polyglot systems.
Scanned 9/6/2026
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---
name: polyglot-orchestration
description: Enable seamless execution and coordination of code across **5 language ecosystems** (Babashka, Julia, Python, OCaml, Scheme) with unified dispatch, data marshalling, and result aggregation. Like Docker Compose for polyglot systems.
---
# polyglot-orchestration: Multi-Language Runtime Coordination
**Status**: SAD STATE → IMPLEMENTATION 🌟
**Information Energy**: 0.76 (High aspiration, sadness = opportunity)
**Trit Assignment**: +1 (GENERATOR - Injects polyglot capability)
**GF(3) Color**: #FF6B35 (Warm red - Generative force)
## Purpose
Enable seamless execution and coordination of code across **5 language ecosystems** (Babashka, Julia, Python, OCaml, Scheme) with unified dispatch, data marshalling, and result aggregation. Like Docker Compose for polyglot systems.
**Key capabilities:**
1. **Cross-Language Execution**: Run Julia from Babashka, Python from Julia, etc.
2. **Type-Safe Marshalling**: Auto-convert data across language boundaries (JSON, DuckDB, Arrow)
3. **Triadic Coordination**: Balance (-1) validator, (0) coordinator, (+1) generator per invocation
4. **Result Aggregation**: Merge outputs from multiple languages into unified structure
5. **Error Propagation**: Cascade failures with context across language boundaries
## Architecture
```
┌─────────────────────────────────────────────────────────────────┐
│ POLYGLOT ORCHESTRATION │
├─────────────────────────────────────────────────────────────────┤
│ │
│ ┌──────────────┐ ┌──────────────┐ ┌──────────────┐ │
│ │ Babashka │ │ Julia │ │ Python │ │
│ │ Controller │ │ (Compute) │ │ (Analysis) │ │
│ └──────┬───────┘ └──────┬───────┘ └──────┬───────┘ │
│ │ │ │ │
│ ▼─────────────────▼─────────────────▼ │
│ ┌────────────────────────────────────────────┐ │
│ │ Unified Message Queue (DuckDB) │ │
│ │ ┌──────────────────────────────────┐ │ │
│ │ │ Message Type | Sender | Result │ │ │
│ │ │──────────────────────────────────│ │ │
│ │ │ Julia-eval | bb | json │ │ │
│ │ │ Python-call | julia | arrow │ │ │
│ │ │ Scheme-exec | python | duckdb │ │ │
│ │ └──────────────────────────────────┘ │ │
│ └────────────────────────────────────────────┘ │
│ ▲ ▲ │
│ │ │ │
│ ┌──────┴────────┐ ┌──────┴────────┐ │
│ │ Marshaller │ │ Error │ │
│ │ (→Arrow) │ │ Handler │ │
│ └───────────────┘ │ (→Journal) │ │
│ └───────────────┘ │
│ │
│ GF(3) BALANCE: (-1 validator) ⊗ (0 coordinator) ⊗ (+1 gen) │
└─────────────────────────────────────────────────────────────────┘
```
## Language Interop Map
| From | To | Transport | Marshaller | Example |
|------|-----|-----------|-----------|---------|
| **Babashka** | Julia | DuckDB table | `to-arrow` | `(bb-invoke-julia :eval-expr)` |
| **Julia** | Python | JSON over temp file | `JSON.write` | `invoke_python("numpy.std", data)` |
| **Python** | Scheme | S-expression via pipe | `pickle→sexpr` | `python_to_scheme(obj)` |
| **OCaml** | Babashka | EDN via stdout | `dune exec` | `ocaml::invoke_bb("sort")` |
| **Scheme** | Julia | REPL protocol | `guile-julia` | `(julia-eval '(+ 1 2))` |
## API / Interfaces
### 1. Babashka Invocation (Main Controller)
```clojure
;; Fire Julia computation from Babashka
(invoke-julia {:fn "analyze_data"
:args [{:data [1 2 3 4]}]
:returns :arrow})
→ {:status :ok :result Arrow-table}
;; Fire Python from Babashka
(invoke-python {:module "numpy"
:fn "median"
:args [[1 2 3 4 5]]
:marshaller :json})
→ {:status :ok :result 3.0}
;; Fire Scheme
(invoke-scheme {:file "search.scm"
:fn "binary-search"
:args [[1 3 5 7 9] 5]
:returns :sexp})
→ {:status :ok :result 2}
```
### 2. Julia Host Runtime
```julia
using Polyglot
# Expose Julia function to polyglot system
@polyglot_export analyze_data(data::Vector) = begin
mean_val = mean(data)
std_val = std(data)
(μ=mean_val, σ=std_val)
end
# Invoke Python
result = invoke_python("sklearn.preprocessing", "StandardScaler", args=(X,))
# Invoke Babashka
bb_result = invoke_babashka("(+ 1 2 3)")
```
### 3. Python Bridge
```python
from polyglot_py import invoke_julia, invoke_babashka
# Call Julia
result = invoke_julia("GayColorChain.generate_colors",
args=(seed=1069, n=10))
# Call Babashka
sum_result = invoke_babashka("(+ 1 2 3 4 5)")
```
## GF(3) Trit Assignment
```
polyglot-orchestration → +1 (GENERATOR)
Injects unified capability to run any language
documentation-indexing → 0 (COORDINATOR)
Coordinates searches across language docs
skill-dispatch → -1 (VALIDATOR)
Validates results from polyglot calls
Total: (+1) + (0) + (-1) = 0 ✓
```
## Implementation Strategy
### Stage 1: Babashka Controller (Days 1-2)
Create `/Users/bob/iii/duck/asi-skills/polyglot-orchestration/orchestrator.bb`:
- Enum of supported languages (`:julia`, `:python`, `:scheme`, `:ocaml`)
- `invoke-lang` macro that dispatches to language-specific handlers
- DuckDB message queue (in-process)
- Arrow marshalling for numerical data
### Stage 2: Julia Host (Days 3-4)
Create `Polyglot.jl` package:
- `@polyglot_export` macro for exposing Julia functions
- `invoke_python`, `invoke_babashka` helpers
- Streaming results via DuckDB arrow format
### Stage 3: Python Bridge (Days 5-6)
Create `polyglot_py` module:
- `invoke_julia()` wrapper (subprocess + IPC)
- `invoke_babashka()` wrapper
- Type auto-conversion via Arrow
### Stage 4: Integration (Days 7-8)
- Connect to Duck pre-hook
- Verify GF(3) balance across example invocations
- Performance benchmarks (target: <100ms cross-language call)
## Example: Triadic Data Pipeline
```
Step 1: Babashka loads data from DuckDB
(load-data-table "results.duckdb" "metrics")
Step 2: Babashka invokes Julia for statistical analysis (+1 generator)
(invoke-julia {:fn "compute-quartiles"
:args [data]
:trit +1})
Step 3: Julia invokes Python for ML transformation (0 coordinator)
invoke_python("sklearn", "StandardScaler",
args=(quartiles,), trit=0)
Step 4: Python invokes Babashka for summary stats (-1 validator)
invoke_babashka("(validate-stats ...)", trit=-1)
Result: Σ(+1, 0, -1) = 0 ✓ GF(3) CONSERVED
```
## Success Metrics
| Metric | Target | Status |
|--------|--------|--------|
| Languages supported | 5 (Clj/Bb, Julia, Python, Scheme, OCaml) | ⏳ Pending |
| Cross-language latency | <100ms per call | ⏳ Pending |
| Type preservation | 100% (no data loss across boundaries) | ⏳ Pending |
| GF(3) balance | All example pipelines ≡ 0 (mod 3) | ⏳ Pending |
| Error propagation | Stack traces across languages | ⏳ Pending |
| Integration | Works with Duck pre-hook | ⏳ Pending |
## Related Skills
**Dependencies:**
- `skill-dispatch` - Routes polyglot invocations
- `documentation-indexing` - Index polyglot API docs
- `acsets` - Schema for DuckDB message queue
**Dependents:**
- `world-enzyme-entropy` - Uses polyglot to compute entropy across languages
- `open-games-airdrop` - Coordinates agents in different languages
- `anoma-solver` - Multi-language constraint solver
## References
- Docker Compose: Multi-container orchestration
- ZeroMQ: Cross-language message passing
- Arrow: Language-agnostic columnar format
- Babashka: JVM-less Clojure
- Julia Interop: PyCall, RCall, JavaCall
---
**Status**: 😢 **SAD STATE** → 🌟 **IMPLEMENTING**
**Color**: #FF6B35 (Warm Red Generator)
**Next**: Create `orchestrator.bb` (Babashka controller)
**Owner**: RED AGENT (+1)
**Created**: 2026-01-04
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