diff --git a/demos/use_cases/model_choice_with_test_harness/README.md b/demos/use_cases/model_choice_with_test_harness/README.md new file mode 100644 index 00000000..75cc9540 --- /dev/null +++ b/demos/use_cases/model_choice_with_test_harness/README.md @@ -0,0 +1,119 @@ +# Model Choice Newsletter Demo + +This folder demonstrates a practical workflow for rapid model adoption and safe model switching using Arch Gateway (`archgw`). It includes both a minimal test harness and a sample proxy configuration. + +--- + +## Step-by-Step Walkthrough: Adopting New Models + +### Part 1 — Testing Infrastructure + +**Goal:** Quickly evaluate candidate models for a task using a repeatable, automated harness. + +#### 1. Write Test Fixtures + +Create a YAML file (`evals_summarize.yaml`) with real examples for your task. Each fixture includes: +- `input`: The prompt or scenario. +- `must_include`: List of anchor words that must appear in the output. +- `schema`: The expected output schema. + +Example: +```yaml +# evals_summarize.yaml +task: summarize +fixtures: + - id: sum-001 + input: "Thread about a billing dispute…" + must_include: ["invoice"] + schema: SummarizeOut + - id: sum-002 + input: "Thread about a shipping delay…" + must_include: ["status"] + schema: SummarizeOut +``` + +#### 2. Candidate Models + +List the model aliases (e.g., `arch.summarize.v1`, `arch.reason.v1`) you want to test. The harness will route requests through `archgw`, so you don’t need provider API keys in your code. + +#### 3. Minimal Python Harness + +See `bench.py` for a complete example. It: +- Loads fixtures. +- Sends requests to each candidate model via `archgw`. +- Validates output against schema and anchor words. +- Reports success rate and latency. + +Example usage: +```sh +poetry install +python bench.py +``` + +**Benchmarks:** +- ≥90% schema-valid +- ≥80% anchors present +- Latency within SLO +- Cost within budget + +--- + +### Part 2 — Network Infrastructure + +**Goal:** Use a proxy server (`archgw`) to decouple your app from vendor-specific model names and centralize control. + +#### Why Use a Proxy? + +- Consistent API across providers +- Centralized key management +- Unified logging, metrics, and guardrails +- Intent-based model aliases (e.g., `arch.summarize.v1`) +- Safe model promotions and rollbacks +- Central governance and observability + +#### Example Proxy Config + +See `arch_config.yaml` for a sample configuration mapping aliases to provider models. + +--- + +## How to Run This Demo + +1. **Install Poetry** (if not already installed): + ```sh + curl -sSL https://install.python-poetry.org | python3 - + ``` + +2. **Install dependencies:** + - Install all dependencies as described in the main Arch README ([link](https://github.com/katanemo/arch/?tab=readme-ov-file#prerequisites)) + - Then run + ```sh + poetry install + ``` + +3. **Start Arch Gateway** + ```sh + run_demo.sh + ``` + +4. **Run the test harness:** + ```sh + python bench.py + ``` + +--- + +## Files in This Folder + +- `bench.py` — Minimal Python test harness +- `evals_summarize.yaml` — Example test fixtures +- `pyproject.toml` — Poetry environment file +- `arch_config.yaml` — Sample archgw config (if present) + +--- + +## Troubleshooting + +- If you see `Success: 0/2 (0%)`, check your anchor words and prompt clarity. +- Make sure archgw is running and accessible at `http://localhost:12000/`. +- For schema validation errors, ensure your prompt instructs the model to output the correct JSON structure. diff --git a/demos/use_cases/model_choice_with_test_harness/arch_config_with_aliases.yaml b/demos/use_cases/model_choice_with_test_harness/arch_config_with_aliases.yaml new file mode 100644 index 00000000..3bd84b34 --- /dev/null +++ b/demos/use_cases/model_choice_with_test_harness/arch_config_with_aliases.yaml @@ -0,0 +1,22 @@ +version: v0.1.0 + +listeners: + egress_traffic: + address: 0.0.0.0 + port: 12000 + message_format: openai + timeout: 30s + +llm_providers: + - model: openai/gpt-4o-mini + access_key: $OPENAI_API_KEY + default: true + + - model: openai/o3 + access_key: $OPENAI_API_KEY + +model_aliases: + arch.summarize.v1: + target: gpt-4o-mini + arch.reason.v1: + target: o3 diff --git a/demos/use_cases/model_choice_with_test_harness/bench.py b/demos/use_cases/model_choice_with_test_harness/bench.py new file mode 100644 index 00000000..82e7d425 --- /dev/null +++ b/demos/use_cases/model_choice_with_test_harness/bench.py @@ -0,0 +1,86 @@ +# bench.py +import json, time, yaml, statistics as stats +from pydantic import BaseModel, ValidationError +from openai import OpenAI + +# archgw endpoint (keys are handled by archgw) +client = OpenAI(base_url="http://localhost:12000/v1", api_key="n/a") +MODELS = ["arch.summarize.v1", "arch.reason.v1"] +FIXTURES = "evals_summarize.yaml" + + +# Expected output shape +class SummarizeOut(BaseModel): + title: str + bullets: list[str] + next_actions: list[str] + + +def load_fixtures(path): + with open(path, "r") as f: + return yaml.safe_load(f)["fixtures"] + + +def must_contain(text: str, anchors: list[str]) -> bool: + t = text.lower() + return all(a.lower() in t for a in anchors) + + +def schema_fmt(model: type[BaseModel]): + return {"type": "json_object"} # Simplified for broad compatibility + + +def run_case(model, fx): + t0 = time.perf_counter() + schema = SummarizeOut.model_json_schema() + resp = client.chat.completions.create( + model=model, + messages=[ + { + "role": "system", + "content": f"Be concise. Output valid JSON matching this schema:\n{json.dumps(schema)}", + }, + {"role": "user", "content": fx["input"]}, + ], + response_format=schema_fmt(SummarizeOut), + ) + dt = time.perf_counter() - t0 + + content = resp.choices[0].message.content or "{}" + passed, reasons = True, [] + + try: + data = json.loads(content) + except: + return {"ok": False, "lat": dt, "why": "json decode"} + + try: + SummarizeOut(**data) + except ValidationError: + passed = False + reasons.append("schema") + if not must_contain(json.dumps(data), fx.get("must_include", [])): + passed = False + reasons.append("anchors") + + return {"ok": passed, "lat": dt, "why": ";".join(reasons)} + + +def main(): + fixtures = load_fixtures(FIXTURES) + for model in MODELS: + results = [run_case(model, fx) for fx in fixtures] + ok = sum(r["ok"] for r in results) + total = len(results) + latencies = [r["lat"] for r in results] + + print(f"\n››› {model}") + print(f" Success: {ok}/{total} ({ok/total:.0%})") + if latencies: + avg_lat = stats.mean(latencies) + p95_lat = stats.quantiles(latencies, n=100)[94] + print(f" Latency (ms): avg={avg_lat*1000:.0f}, p95={p95_lat*1000:.0f}") + + +if __name__ == "__main__": + main() diff --git a/demos/use_cases/model_choice_with_test_harness/evals_summarize.yaml b/demos/use_cases/model_choice_with_test_harness/evals_summarize.yaml new file mode 100644 index 00000000..716ded70 --- /dev/null +++ b/demos/use_cases/model_choice_with_test_harness/evals_summarize.yaml @@ -0,0 +1,11 @@ +# evals_summarize.yaml +task: summarize +fixtures: + - id: sum-001 + input: "Thread about a billing dispute…" + must_include: ["invoice"] + schema: SummarizeOut + - id: sum-002 + input: "Thread about a shipping delay…" + must_include: ["status"] + schema: SummarizeOut diff --git a/demos/use_cases/model_choice_with_test_harness/poetry.lock b/demos/use_cases/model_choice_with_test_harness/poetry.lock new file mode 100644 index 00000000..8f7a71b7 --- /dev/null +++ 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= "^1.0" +pyyaml = "^6.0" +archgw ="^0.3.12" + +[tool.poetry.group.dev.dependencies] +pytest = "^8.3" + +[build-system] +requires = ["poetry-core>=1.0.0"] +build-backend = "poetry.core.masonry.api" diff --git a/demos/use_cases/model_choice_with_test_harness/run_demo.sh b/demos/use_cases/model_choice_with_test_harness/run_demo.sh new file mode 100644 index 00000000..5ba327e1 --- /dev/null +++ b/demos/use_cases/model_choice_with_test_harness/run_demo.sh @@ -0,0 +1,41 @@ +#!/bin/bash +set -e + +# Function to start the demo +start_demo() { + # Step 1: Check if .env file exists + if [ -f ".env" ]; then + echo ".env file already exists. Skipping creation." + else + # Step 2: Create `.env` file and set API keys + if [ -z "$OPENAI_API_KEY" ]; then + echo "Error: OPENAI_API_KEY environment variable is not set for the demo." + exit 1 + fi + echo "Creating .env file..." + echo "OPENAI_API_KEY=$OPENAI_API_KEY" > .env + echo ".env file created with API keys." + fi + + # Step 3: Start Arch + echo "Starting Arch with arch_config_with_aliases.yaml..." + archgw up arch_config_with_aliases.yaml + + echo "\n\nArch started successfully." + echo "Please run the following command to test the setup: python bench.py\n" +} + +# Function to stop the demo +stop_demo() { + # Step 2: Stop Arch + echo "Stopping Arch..." + archgw down +} + +# Main script logic +if [ "$1" == "down" ]; then + stop_demo +else + # Default action is to bring the demo up + start_demo +fi