feat(eval): added ability to run evals against different providers/mo…

…dels

eval/agents.py

@@ -10,6 +10,10 @@
 
 
 class Agent:
+    def __init__(self, llm: str, model: str):
+        self.llm = llm
+        self.model = model
+
     @abstractmethod
     def act(self, files: Files | None, prompt: str) -> Files:
         """
@@ -28,14 +32,18 @@ def act(self, files: Files | None, prompt: str):
 
         print("\n--- Start of generation ---")
         print(f"Working in {store.working_dir}")
+        prompt_sys = get_prompt()
+        prompt_sys.content += (
+            "\n\nIf you have trouble and dont seem to make progress, stop trying."
+        )
         # TODO: add timeout
         try:
             gptme_chat(
                 [Message("user", prompt)],
-                [get_prompt()],
+                [prompt_sys],
                 f"gptme-evals-{store.id}",
-                llm=None,
-                model=None,
+                llm=self.llm,
+                model=self.model,
                 no_confirm=True,
                 interactive=False,
             )

eval/main.py

@@ -4,12 +4,16 @@
 Inspired by a document by Anton Osika and Axel Theorell.
 """
 
+import csv
 import inspect
 import logging
+import subprocess
 import sys
 import time
+from datetime import datetime
+from pathlib import Path
 
-from .agents import GPTMe
+from .agents import Agent, GPTMe
 from .evals import tests, tests_map
 from .execenv import SimpleExecutionEnv
 from .types import (
@@ -21,13 +25,16 @@
 
 logger = logging.getLogger(__name__)
 
+project_dir = Path(__file__).parent.parent
 
-def execute(test: ExecTest) -> ExecResult:
+
+def execute(test: ExecTest, agent: Agent) -> ExecResult:
     """
-    Executes the code.
+    Executes the code for a specific model.
     """
-    print(f"Running test {test['name']} with prompt: {test['prompt']}")
-    agent = GPTMe()
+    print(
+        f"Running test {test['name']} with prompt: {test['prompt']} for model: {agent.model}"
+    )
 
     # generate code
     gen_start = time.time()
@@ -74,48 +81,129 @@ def execute(test: ExecTest) -> ExecResult:
 
 
 def main():
+    models = [
+        # "openai/gpt-3.5-turbo",
+        # "openai/gpt-4-turbo",
+        # "openai/gpt-4o",
+        "openai/gpt-4o-mini",
+        # "anthropic/claude-3-5-sonnet-20240620",
+        "anthropic/claude-3-haiku-20240307",
+    ]
     test_name = sys.argv[1] if len(sys.argv) > 1 else None
-    results = []
-    if test_name:
-        print(f"=== Running test {test_name} ===")
-        result = execute(tests_map[test_name])
-        results.append(result)
-    else:
-        print("=== Running all tests ===")
-        for test in tests:
-            result = execute(test)
+
+    all_results = {}
+    for model in models:
+        print(f"\n=== Running tests for model: {model} ===")
+        llm, model = model.split("/")
+        agent = GPTMe(llm=llm, model=model)
+
+        results = []
+        if test_name:
+            print(f"=== Running test {test_name} ===")
+            result = execute(tests_map[test_name], agent)
             results.append(result)
+        else:
+            print("=== Running all tests ===")
+            for test in tests:
+                result = execute(test, agent)
+                results.append(result)
 
-    print("=== Finished ===\n")
-    duration_total = sum(
-        result["timings"]["gen"] + result["timings"]["run"] + result["timings"]["eval"]
-        for result in results
-    )
-    print(f"Completed {len(results)} tests in {duration_total:.2f}s:")
-    for result in results:
-        checkmark = "✅" if all(case["passed"] for case in result["results"]) else "❌"
-        duration_result = (
+        all_results[model] = results
+
+    print("\n=== Finished ===\n")
+
+    for model, results in all_results.items():
+        print(f"\nResults for model: {model}")
+        duration_total = sum(
             result["timings"]["gen"]
             + result["timings"]["run"]
             + result["timings"]["eval"]
+            for result in results
         )
-        print(
-            f"- {result['name']} in {duration_result:.2f}s (gen: {result['timings']['gen']:.2f}s, run: {result['timings']['run']:.2f}s, eval: {result['timings']['eval']:.2f}s)"
-        )
-        for case in result["results"]:
-            checkmark = "✅" if case["passed"] else "❌"
-            print(f"  {checkmark} {case['name']}")
+        print(f"Completed {len(results)} tests in {duration_total:.2f}s:")
+        for result in results:
+            checkmark = (
+                "✅" if all(case["passed"] for case in result["results"]) else "❌"
+            )
+            duration_result = (
+                result["timings"]["gen"]
+                + result["timings"]["run"]
+                + result["timings"]["eval"]
+            )
+            print(
+                f"- {result['name']} in {duration_result:.2f}s (gen: {result['timings']['gen']:.2f}s, run: {result['timings']['run']:.2f}s, eval: {result['timings']['eval']:.2f}s)"
+            )
+            for case in result["results"]:
+                checkmark = "✅" if case["passed"] else "❌"
+                print(f"  {checkmark} {case['name']}")
+
+    print("\n=== Model Comparison ===")
+    for test in tests:
+        print(f"\nTest: {test['name']}")
+        for model, results in all_results.items():
+            result = next(r for r in results if r["name"] == test["name"])
+            passed = all(case["passed"] for case in result["results"])
+            checkmark = "✅" if passed else "❌"
+            duration = sum(result["timings"].values())
+            print(f"{model}: {checkmark} {duration:.2f}s")
 
     all_success = all(
-        all(case["passed"] for case in result["results"]) for result in results
+        all(all(case["passed"] for case in result["results"]) for result in results)
+        for results in all_results.values()
     )
     if all_success:
-        print("\n✅ All tests passed!")
+        print("\n✅ All tests passed for all models!")
     else:
         print("\n❌ Some tests failed!")
 
+    # Write results to CSV
+    write_results_to_csv(all_results)
+
     sys.exit(0 if all_success else 1)
 
 
+def write_results_to_csv(all_results):
+    timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
+    # get current commit hash and dirty status, like: a8b2ef0-dirty
+    commit_hash = subprocess.run(
+        ["git", "describe", "--always", "--dirty", "--exclude", "'*'"],
+        text=True,
+        capture_output=True,
+    ).stdout.strip()
+    filename = project_dir / f"eval_results_{timestamp}.csv"
+
+    with open(filename, "w", newline="") as csvfile:
+        fieldnames = [
+            "Model",
+            "Test",
+            "Passed",
+            "Total Duration",
+            "Generation Time",
+            "Run Time",
+            "Eval Time",
+            "Commit Hash",
+        ]
+        writer = csv.DictWriter(csvfile, fieldnames=fieldnames)
+
+        writer.writeheader()
+        for model, results in all_results.items():
+            for result in results:
+                passed = all(case["passed"] for case in result["results"])
+                writer.writerow(
+                    {
+                        "Model": model,
+                        "Test": result["name"],
+                        "Passed": "true" if passed else "false",
+                        "Total Duration": sum(result["timings"].values()),
+                        "Generation Time": result["timings"]["gen"],
+                        "Run Time": result["timings"]["run"],
+                        "Eval Time": result["timings"]["eval"],
+                        "Commit Hash": commit_hash,
+                    }
+                )
+
+    print(f"\nResults saved to {filename.resolve()}")
+
+
 if __name__ == "__main__":
     main()