Prompt: Create Comprehensive Stage 2 Integration Tests
Objective
Develop thorough integration tests that validate the complete Stage 2 implementation, including automatic backend switching, state migration, variable operations, and Python integration.
Context
These tests must verify that:
- Pure Elixir workflows use LocalState with sub-microsecond performance
- Python components trigger automatic backend switching
- State migrates seamlessly between backends
- Variable operations work identically in both modes
- Python DSPy modules can access Elixir variables
Requirements
Test Coverage
- Backend switching scenarios
- State migration correctness
- Performance characteristics
- Python integration
- Error handling
- Concurrent operations
- Real-world workflows
Test Infrastructure
- Mock and real backends
- Python subprocess management
- Performance measurement
- State verification helpers
Implementation
Core Integration Tests
# File: test/dspex/integration/stage2_test.exs
defmodule DSPex.Integration.Stage2Test do
@moduledoc """
Comprehensive integration tests for Stage 2 functionality.
Tests the complete cognitive layer including:
- Automatic backend switching
- State migration
- Variable operations
- Python integration
"""
use ExUnit.Case, async: false
alias DSPex.{Context, Variables}
alias DSPex.Bridge.State.{Local, Bridged}
alias Snakepit.Bridge.SessionStore
import DSPex.TestHelpers.{Timing, Python}
setup do
# Ensure SessionStore is available
case SessionStore.start_link() do
{:ok, _} -> :ok
{:error, {:already_started, _}} -> :ok
end
:ok
end
describe "pure Elixir workflow with LocalState" do
setup do
{:ok, ctx} = Context.start_link()
{:ok, ctx: ctx}
end
test "achieves sub-microsecond performance", %{ctx: ctx} do
# Define variables
Variables.defvariable!(ctx, :counter, :integer, 0)
Variables.defvariable!(ctx, :name, :string, "test")
Variables.defvariable!(ctx, :ratio, :float, 0.5)
# Measure get performance
get_times = measure_repeated(1000, fn ->
Variables.get(ctx, :counter)
end)
# Verify sub-microsecond average
assert average(get_times) < 1.0
assert percentile(get_times, 99) < 5.0
# Measure set performance
set_times = measure_repeated(1000, fn i ->
Variables.set(ctx, :counter, i)
end)
assert average(set_times) < 5.0
assert percentile(set_times, 99) < 20.0
# Verify still using LocalState
assert %{type: :local} = Context.get_backend(ctx)
end
test "supports all variable operations locally", %{ctx: ctx} do
# Define various types
Variables.defvariable!(ctx, :temperature, :float, 0.7,
constraints: %{min: 0.0, max: 2.0}
)
Variables.defvariable!(ctx, :tokens, :integer, 256,
constraints: %{min: 1, max: 4096}
)
Variables.defvariable!(ctx, :model, :string, "local",
constraints: %{enum: ["local", "fast", "accurate"]}
)
Variables.defvariable!(ctx, :enabled, :boolean, true)
# Test operations
assert Variables.get(ctx, :temperature) == 0.7
assert :ok = Variables.set(ctx, :temperature, 0.9)
assert Variables.get(ctx, :temperature) == 0.9
# Functional update
assert :ok = Variables.update(ctx, :tokens, &(&1 * 2))
assert Variables.get(ctx, :tokens) == 512
# Batch operations
values = Variables.get_many(ctx, [:temperature, :tokens, :model])
assert map_size(values) == 3
assert :ok = Variables.update_many(ctx, %{
temperature: 0.5,
tokens: 1024,
model: "fast"
})
# List all
vars = Variables.list(ctx)
assert length(vars) == 4
end
test "enforces constraints locally", %{ctx: ctx} do
Variables.defvariable!(ctx, :bounded, :float, 0.5,
constraints: %{min: 0.0, max: 1.0}
)
# Valid update
assert :ok = Variables.set(ctx, :bounded, 0.8)
# Invalid updates
assert {:error, _} = Variables.set(ctx, :bounded, -0.1)
assert {:error, _} = Variables.set(ctx, :bounded, 1.5)
# Value unchanged after failed updates
assert Variables.get(ctx, :bounded) == 0.8
end
end
describe "automatic backend switching" do
setup do
{:ok, ctx} = Context.start_link()
# Create initial state in local backend
Variables.defvariable!(ctx, :pre_switch, :string, "local_value")
Variables.defvariable!(ctx, :counter, :integer, 42)
Variables.defvariable!(ctx, :config, :string, "test",
metadata: %{"source" => "test"}
)
{:ok, ctx: ctx}
end
test "switches on ensure_bridged", %{ctx: ctx} do
# Verify starting state
backend = Context.get_backend(ctx)
assert backend.type == :local
assert backend.switches == 0
# Record values before switch
values_before = Variables.get_many(ctx, [:pre_switch, :counter, :config])
# Trigger switch
{switch_time, :ok} = :timer.tc(fn ->
Context.ensure_bridged(ctx)
end)
# Verify switched
backend = Context.get_backend(ctx)
assert backend.type == :bridged
assert backend.switches == 1
assert backend.module == Bridged
# Switch should be fast
assert switch_time < 50_000 # 50ms
# All values preserved
values_after = Variables.get_many(ctx, [:pre_switch, :counter, :config])
assert values_after == values_before
# Can still modify variables
assert :ok = Variables.set(ctx, :counter, 100)
assert Variables.get(ctx, :counter) == 100
end
test "switches when Python program registered", %{ctx: ctx} do
# Register a Python-requiring program
program_spec = %{
type: :dspy,
adapter: "PythonAdapter",
modules: [%{type: :dspy, class: "ChainOfThought"}],
requires_python: true
}
# This should trigger switch
:ok = Context.register_program(ctx, "python_prog", program_spec)
# Verify switched
backend = Context.get_backend(ctx)
assert backend.type == :bridged
assert backend.switches == 1
# Variables still accessible
assert Variables.get(ctx, :pre_switch) == "local_value"
end
test "preserves all variable metadata during switch", %{ctx: ctx} do
# Get full variable info before switch
vars_before = Variables.list(ctx)
|> Enum.map(fn var -> {var.name, var} end)
|> Map.new()
# Switch
:ok = Context.ensure_bridged(ctx)
# Get after switch
vars_after = Variables.list(ctx)
|> Enum.map(fn var -> {var.name, var} end)
|> Map.new()
# Compare each variable
assert map_size(vars_after) == map_size(vars_before)
for {name, var_before} <- vars_before do
var_after = Map.fetch!(vars_after, name)
# Same data
assert var_after.type == var_before.type
assert var_after.value == var_before.value
assert var_after.constraints == var_before.constraints
# Metadata preserved plus migration info
assert var_after.metadata["source"] == var_before.metadata["source"]
assert var_after.metadata["migrated_from"] == "local"
end
end
test "switch is idempotent", %{ctx: ctx} do
# Switch multiple times
:ok = Context.ensure_bridged(ctx)
backend1 = Context.get_backend(ctx)
:ok = Context.ensure_bridged(ctx)
backend2 = Context.get_backend(ctx)
:ok = Context.ensure_bridged(ctx)
backend3 = Context.get_backend(ctx)
# Only one switch
assert backend1.switches == 1
assert backend2.switches == 1
assert backend3.switches == 1
end
end
describe "LocalState to BridgedState migration" do
test "handles empty state" do
{:ok, ctx} = Context.start_link()
# Switch empty context
assert :ok = Context.ensure_bridged(ctx)
# Can add variables after switch
Variables.defvariable!(ctx, :post_switch, :string, "works")
assert Variables.get(ctx, :post_switch) == "works"
end
test "handles large state migration" do
{:ok, ctx} = Context.start_link()
# Create many variables
for i <- 1..100 do
Variables.defvariable!(ctx, :"var_#{i}", :integer, i,
constraints: %{min: 0, max: 1000},
metadata: %{"index" => i}
)
end
# Measure migration time
{migration_time, :ok} = :timer.tc(fn ->
Context.ensure_bridged(ctx)
end)
# Should still be reasonably fast
assert migration_time < 100_000 # 100ms for 100 variables
# Spot check some values
assert Variables.get(ctx, :var_1) == 1
assert Variables.get(ctx, :var_50) == 50
assert Variables.get(ctx, :var_100) == 100
# All variables migrated
assert length(Variables.list(ctx)) == 100
end
test "handles complex variable types" do
{:ok, ctx} = Context.start_link()
# Various constraint types
Variables.defvariable!(ctx, :ranged, :float, 0.5,
constraints: %{min: 0.0, max: 1.0}
)
Variables.defvariable!(ctx, :pattern, :string, "ABC123",
constraints: %{pattern: "^[A-Z]+[0-9]+$"}
)
Variables.defvariable!(ctx, :choice, :string, "red",
constraints: %{enum: ["red", "green", "blue"]}
)
# Switch
:ok = Context.ensure_bridged(ctx)
# Constraints still enforced
assert {:error, _} = Variables.set(ctx, :ranged, 2.0)
assert {:error, _} = Variables.set(ctx, :pattern, "invalid")
assert {:error, _} = Variables.set(ctx, :choice, "yellow")
# Valid updates work
assert :ok = Variables.set(ctx, :ranged, 0.7)
assert :ok = Variables.set(ctx, :pattern, "XYZ789")
assert :ok = Variables.set(ctx, :choice, "blue")
end
end
describe "BridgedState performance" do
setup do
{:ok, ctx} = Context.start_link()
# Start bridged
:ok = Context.ensure_bridged(ctx)
# Add variables
for i <- 1..20 do
Variables.defvariable!(ctx, :"perf_#{i}", :float, i * 0.1)
end
{:ok, ctx: ctx}
end
test "meets performance targets", %{ctx: ctx} do
# Single get
get_times = measure_repeated(100, fn ->
Variables.get(ctx, :perf_10)
end)
assert average(get_times) < 2000 # < 2ms average
assert percentile(get_times, 95) < 5000 # < 5ms 95th percentile
# Single set
set_times = measure_repeated(100, fn i ->
Variables.set(ctx, :perf_10, i * 0.1)
end)
assert average(set_times) < 5000 # < 5ms average
# Batch operations should be more efficient
identifiers = Enum.map(1..10, &:"perf_#{&1}")
batch_time = measure_once(fn ->
Variables.get_many(ctx, identifiers)
end)
individual_time = measure_once(fn ->
for id <- identifiers do
Variables.get(ctx, id)
end
end)
# Batch should be significantly faster
assert batch_time < individual_time * 0.5
end
end
@tag :integration
@tag :python
describe "Python integration" do
setup do
{:ok, ctx} = Context.start_link()
# Define variables
Variables.defvariable!(ctx, :temperature, :float, 0.7)
Variables.defvariable!(ctx, :max_tokens, :integer, 256)
Variables.defvariable!(ctx, :model_name, :string, "gpt-4")
# Ensure bridged for Python
:ok = Context.ensure_bridged(ctx)
# Get context ID for Python
context_id = Context.get_id(ctx)
{:ok, ctx: ctx, context_id: context_id}
end
test "Python can read Elixir variables", %{context_id: context_id} do
result = run_python_test("""
import asyncio
from snakepit_bridge import SessionContext
async def test():
ctx = SessionContext(stub, '#{context_id}')
temp = await ctx.get_variable('temperature')
tokens = await ctx.get_variable('max_tokens')
model = await ctx.get_variable('model_name')
return {
'temperature': temp,
'max_tokens': tokens,
'model_name': model
}
result = asyncio.run(test())
""")
assert result["temperature"] == 0.7
assert result["max_tokens"] == 256
assert result["model_name"] == "gpt-4"
end
test "Python updates visible in Elixir", %{ctx: ctx, context_id: context_id} do
result = run_python_test("""
import asyncio
from snakepit_bridge import SessionContext
async def test():
ctx = SessionContext(stub, '#{context_id}')
# Update variables
await ctx.set_variable('temperature', 0.9)
await ctx.set_variable('max_tokens', 512)
return {'status': 'updated'}
result = asyncio.run(test())
""")
assert result["status"] == "updated"
# Check updates in Elixir
assert Variables.get(ctx, :temperature) == 0.9
assert Variables.get(ctx, :max_tokens) == 512
end
test "variable-aware DSPy modules", %{ctx: ctx, context_id: context_id} do
# This test would require actual DSPy setup
# Simplified version showing the concept
result = run_python_test("""
import asyncio
from snakepit_bridge import SessionContext
from snakepit_bridge.dspy_integration import VariableAwarePredict
async def test():
ctx = SessionContext(stub, '#{context_id}')
# Create variable-aware module
predictor = VariableAwarePredict(
"question -> answer",
session_context=ctx
)
# Bind to variables
await predictor.bind_to_variable('temperature', 'temperature')
await predictor.bind_to_variable('max_tokens', 'max_tokens')
# Check bindings
return {
'temperature': predictor.temperature,
'max_tokens': predictor.max_tokens,
'bindings': predictor.get_bindings()
}
result = asyncio.run(test())
""")
assert result["temperature"] == 0.7
assert result["max_tokens"] == 256
assert result["bindings"]["temperature"] == "temperature"
end
end
describe "error handling" do
setup do
{:ok, ctx} = Context.start_link()
{:ok, ctx: ctx}
end
test "graceful handling of SessionStore unavailability", %{ctx: ctx} do
# Stop SessionStore to simulate failure
if pid = Process.whereis(SessionStore) do
Process.exit(pid, :kill)
Process.sleep(10)
end
# Try to switch - should fail gracefully
result = Context.ensure_bridged(ctx)
# Context should still be functional with local backend
assert Variables.defvariable(ctx, :survivor, :string, "still works")
assert Variables.get(ctx, :survivor) == "still works"
end
test "type validation across backends", %{ctx: ctx} do
Variables.defvariable!(ctx, :typed, :integer, 42)
# Invalid in local
assert {:error, _} = Variables.set(ctx, :typed, "not an integer")
# Switch backends
:ok = Context.ensure_bridged(ctx)
# Still invalid in bridged
assert {:error, _} = Variables.set(ctx, :typed, "still not an integer")
# Value unchanged
assert Variables.get(ctx, :typed) == 42
end
end
describe "real-world workflow simulation" do
test "LLM configuration workflow" do
{:ok, ctx} = Context.start_link()
# Define LLM configuration variables
Variables.defvariable!(ctx, :model, :string, "gpt-3.5-turbo",
constraints: %{enum: ["gpt-3.5-turbo", "gpt-4", "claude-3"]},
description: "LLM model selection"
)
Variables.defvariable!(ctx, :temperature, :float, 0.7,
constraints: %{min: 0.0, max: 2.0},
description: "Generation randomness"
)
Variables.defvariable!(ctx, :max_tokens, :integer, 256,
constraints: %{min: 1, max: 4096},
description: "Maximum response length"
)
Variables.defvariable!(ctx, :top_p, :float, 1.0,
constraints: %{min: 0.0, max: 1.0},
description: "Nucleus sampling"
)
# Simulate configuration updates
config_updates = [
%{temperature: 0.5, max_tokens: 512},
%{model: "gpt-4", temperature: 0.8},
%{max_tokens: 1024, top_p: 0.95}
]
for update <- config_updates do
assert :ok = Variables.update_many(ctx, update)
end
# Final configuration
final_config = Variables.get_many(ctx, [:model, :temperature, :max_tokens, :top_p])
assert final_config.model == "gpt-4"
assert final_config.temperature == 0.8
assert final_config.max_tokens == 1024
assert final_config.top_p == 0.95
# Now add Python component - should trigger switch
Context.register_program(ctx, "llm_program", %{
type: :dspy,
requires_python: true
})
# Configuration still intact after switch
assert Variables.get_many(ctx, [:model, :temperature]) == %{
model: "gpt-4",
temperature: 0.8
}
end
test "multi-stage pipeline with mixed components" do
{:ok, ctx} = Context.start_link()
# Stage 1: Pure Elixir preprocessing
Variables.defvariable!(ctx, :input_text, :string, "Process this text")
Variables.defvariable!(ctx, :preprocessing_done, :boolean, false)
# Simulate preprocessing
text = Variables.get(ctx, :input_text)
processed = String.upcase(text)
Variables.set(ctx, :input_text, processed)
Variables.set(ctx, :preprocessing_done, true)
# Still using local backend
assert Context.get_backend(ctx).type == :local
# Stage 2: Add Python NLP component
Context.register_program(ctx, "nlp_analyzer", %{
type: :python,
requires_python: true,
module: "TextAnalyzer"
})
# Now switched to bridged
assert Context.get_backend(ctx).type == :bridged
# Variables still accessible
assert Variables.get(ctx, :input_text) == "PROCESS THIS TEXT"
assert Variables.get(ctx, :preprocessing_done) == true
# Stage 3: Store results
Variables.defvariable!(ctx, :analysis_complete, :boolean, true)
Variables.defvariable!(ctx, :results, :string, "Analysis results here")
# All stages' variables coexist
all_vars = Variables.list(ctx)
var_names = Enum.map(all_vars, & &1.name)
assert :input_text in var_names
assert :preprocessing_done in var_names
assert :analysis_complete in var_names
assert :results in var_names
end
end
end
Test Helpers
# File: test/support/dspex_test_helpers.ex
defmodule DSPex.TestHelpers.Timing do
@moduledoc """
Performance measurement helpers for tests.
"""
@doc """
Measures execution time of a function multiple times.
Returns list of times in microseconds.
"""
def measure_repeated(count, fun) when is_function(fun, 0) do
for _ <- 1..count do
{time, _} = :timer.tc(fun)
time
end
end
def measure_repeated(count, fun) when is_function(fun, 1) do
for i <- 1..count do
{time, _} = :timer.tc(fun, [i])
time
end
end
@doc """
Measures a single execution.
"""
def measure_once(fun) do
{time, _} = :timer.tc(fun)
time
end
@doc """
Calculates average of times.
"""
def average(times) do
Enum.sum(times) / length(times)
end
@doc """
Calculates percentile of times.
"""
def percentile(times, p) do
sorted = Enum.sort(times)
index = round(length(sorted) * p / 100)
Enum.at(sorted, index - 1)
end
end
defmodule DSPex.TestHelpers.Python do
@moduledoc """
Python integration test helpers.
"""
require Logger
@doc """
Runs a Python test script and returns the result.
The script should set a 'result' variable that will be
captured and decoded.
"""
def run_python_test(script) do
# Add result capture
full_script = """
import sys
import json
import grpc
from unittest.mock import MagicMock
# Mock gRPC connection for tests
channel = MagicMock()
stub = MagicMock()
#{script}
# Output result as JSON
print(json.dumps(result))
"""
# Create temp file
path = Path.join(System.tmp_dir!(), "dspex_test_#{:rand.uniform(1_000_000)}.py")
File.write!(path, full_script)
try do
# Run Python
case System.cmd("python3", [path],
env: [{"PYTHONPATH", "priv/python"}],
stderr_to_stdout: true) do
{output, 0} ->
# Parse JSON result
output
|> String.trim()
|> String.split("\n")
|> List.last()
|> Jason.decode!()
{output, code} ->
Logger.error("Python test failed (exit #{code}):\n#{output}")
raise "Python test failed"
end
after
File.rm(path)
end
end
@doc """
Starts a Python subprocess for interactive testing.
"""
def start_python_session(context_id) do
# Implementation for interactive Python testing
:not_implemented
end
end
Performance Benchmarks
# File: bench/stage2_benchmarks.exs
defmodule DSPex.Stage2Benchmarks do
@moduledoc """
Performance benchmarks for Stage 2 features.
"""
use Benchfella
alias DSPex.{Context, Variables}
alias DSPex.Bridge.State.{Local, Bridged}
@variables_count 100
setup_all do
# Start dependencies
{:ok, _} = Application.ensure_all_started(:snakepit)
# Create contexts
{:ok, local_ctx} = Context.start_link()
{:ok, bridged_ctx} = Context.start_link()
Context.ensure_bridged(bridged_ctx)
# Populate with variables
for i <- 1..@variables_count do
Variables.defvariable!(local_ctx, :"var_#{i}", :integer, i)
Variables.defvariable!(bridged_ctx, :"var_#{i}", :integer, i)
end
{:ok, %{local: local_ctx, bridged: bridged_ctx}}
end
bench "LocalState get", [contexts: bench_context] do
Variables.get(contexts.local, :var_50)
end
bench "BridgedState get", [contexts: bench_context] do
Variables.get(contexts.bridged, :var_50)
end
bench "LocalState set", [contexts: bench_context] do
Variables.set(contexts.local, :var_50, :rand.uniform(1000))
end
bench "BridgedState set", [contexts: bench_context] do
Variables.set(contexts.bridged, :var_50, :rand.uniform(1000))
end
bench "LocalState batch get (10)", [contexts: bench_context] do
vars = Enum.map(1..10, &:"var_#{&1}")
Variables.get_many(contexts.local, vars)
end
bench "BridgedState batch get (10)", [contexts: bench_context] do
vars = Enum.map(1..10, &:"var_#{&1}")
Variables.get_many(contexts.bridged, vars)
end
bench "Backend switch (10 variables)" do
{:ok, ctx} = Context.start_link()
for i <- 1..10 do
Variables.defvariable!(ctx, :"bench_#{i}", :float, i * 0.1)
end
Context.ensure_bridged(ctx)
Context.stop(ctx)
end
teardown_all contexts do
Context.stop(contexts.local)
Context.stop(contexts.bridged)
end
end
Property-Based Tests
# File: test/dspex/property_test.exs
defmodule DSPex.PropertyTest do
use ExUnit.Case
use ExUnitProperties
alias DSPex.{Context, Variables}
property "variables maintain value across backend switches" do
check all name <- atom(:alphanumeric),
type <- member_of([:float, :integer, :string, :boolean]),
value <- value_generator(type),
max_runs: 50 do
{:ok, ctx} = Context.start_link()
# Define in local backend
assert {:ok, _} = Variables.defvariable(ctx, name, type, value)
# Switch to bridged
:ok = Context.ensure_bridged(ctx)
# Value preserved
assert Variables.get(ctx, name) == value
Context.stop(ctx)
end
end
property "constraints enforced in both backends" do
check all name <- atom(:alphanumeric),
min <- integer(0..50),
max <- integer(51..100),
valid <- integer(min..max),
invalid <- one_of([integer(max+1..200), integer(-100..min-1)]),
max_runs: 50 do
for backend <- [:local, :bridged] do
{:ok, ctx} = Context.start_link()
if backend == :bridged do
Context.ensure_bridged(ctx)
end
# Define with constraints
assert {:ok, _} = Variables.defvariable(ctx, name, :integer, valid,
constraints: %{min: min, max: max}
)
# Valid update works
assert :ok = Variables.set(ctx, name, div(min + max, 2))
# Invalid update fails
assert {:error, _} = Variables.set(ctx, name, invalid)
Context.stop(ctx)
end
end
end
# Generators
defp value_generator(:float), do: float()
defp value_generator(:integer), do: integer()
defp value_generator(:string), do: string(:alphanumeric, min_length: 1)
defp value_generator(:boolean), do: boolean()
end
Test Organization
Test Categories
Unit Tests: Individual components
- StateProvider implementations
- Context operations
- Variables API
Integration Tests: Component interactions
- Backend switching
- State migration
- Python bridge
Performance Tests: Speed and efficiency
- Operation latency
- Batch performance
- Switch overhead
Property Tests: Invariants
- Value preservation
- Constraint enforcement
- API consistency
Continuous Integration
# File: .github/workflows/stage2_tests.yml
name: Stage 2 Tests
on:
push:
branches: [ main, develop ]
pull_request:
jobs:
test:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v3
- name: Set up Elixir
uses: erlef/setup-beam@v1
with:
elixir-version: '1.14'
otp-version: '25'
- name: Set up Python
uses: actions/setup-python@v4
with:
python-version: '3.10'
- name: Cache dependencies
uses: actions/cache@v3
with:
path: |
deps
_build
priv/python/.venv
key: ${{ runner.os }}-mix-${{ hashFiles('**/mix.lock') }}
- name: Install dependencies
run: |
mix deps.get
cd priv/python && pip install -r requirements.txt
- name: Run unit tests
run: mix test --only unit
- name: Run integration tests
run: mix test --only integration
- name: Run property tests
run: mix test --only property
- name: Run benchmarks
run: mix run bench/stage2_benchmarks.exs
- name: Check coverage
run: mix coveralls.github
Success Metrics
The Stage 2 implementation is successful when:
Performance:
- LocalState: < 1Ξs average get operation
- Backend switch: < 50ms for typical state
- BridgedState: < 2ms average operation
Functionality:
- All tests pass consistently
- Python integration works seamlessly
- State migration preserves all data
Reliability:
- No data loss during switches
- Graceful error handling
- Concurrent operation safety
Stage 2 Complete!
With these comprehensive tests, Stage 2 implementation is complete. The system now provides:
- â Automatic backend switching based on program needs
- â Blazing-fast LocalState for pure Elixir
- â Seamless BridgedState for Python integration
- â High-level Variables API
- â Variable-aware DSPy modules
- â Complete test coverage
Ready for Stage 3: Streaming and Reactive Capabilities!