chore: update versions

packages/refactor-bot/CHANGELOG.md

@@ -1,5 +1,47 @@
 # refactor-bot
 
+## 0.0.3
+
+### Patch Changes
+
+-   [#14](https://github.com/zaripych/gpt-refactor-bot/pull/14) [`05da890`](https://github.com/zaripych/gpt-refactor-bot/commit/05da890bdf564dff5baf232b36ad62244ef2b38b) Thanks [@zaripych](https://github.com/zaripych)! - feat: evaluate refactor outcomes using LLM to make decision of whether file edit should be accepted or discarded
+
+    This is a big change which adds extra steps to the refactor process. Every time an LLM produces a file edit - we will pass that edit through evaluation algorithm to asses whether it should be accepted or discarded. Previously, this logic was only affected by the existence or absence of eslint errors. This will make the final result higher quality and more reliable.
+
+    The new behavior can be disabled by setting `evaluate: false` in the `goal.md` file.
+
+    In addition to that, this change also adds a new CLI command for internal use which allows us to compare results of multiple refactor runs. This is useful for benchmarking purposes.
+
+    To run the benchmark, use the following command:
+
+    ```sh
+    pnpm benchmark --config .refactor-bot/benchmarks/test-benchmark.yaml
+    ```
+
+    Where the config:
+
+    ```yaml
+    refactorConfig:
+        name: test-refactoring
+        ref: 8f1a3da55caeee3df75853042e57978c45513f18
+        budgetCents: 100
+        model: gpt-4-1106-preview
+        objective: Replace all usages of `readFile` from `fs/promises` module with `readFileSync` from `fs` module in `packages/refactor-bot/src/refactor/planTasks.ts`, `packages/refactor-bot/src/refactor/loadRefactors.ts` and `packages/refactor-bot/src/refactor/discoverDependencies.ts`.
+
+    numberOfRuns: 2
+
+    variants:
+        - name: 'A'
+          ids: # ids of refactor runs to save mooney on
+              - VRixXEwC
+              - k0FmgQjU
+              - IpSOtP7d
+              - xqydSrSU
+        - name: 'B'
+    ```
+
+    This will run multiple refactor runs and compare the results. At this moment no statistical analysis is performed as I'm not convinced we can reach statistical significance with the number of runs that also doesn't make you poor.
+
 ## 0.0.2
 
 ### Patch Changes

packages/refactor-bot/package.json

@@ -1,6 +1,6 @@
 {
     "name": "refactor-bot",
-    "version": "0.0.2",
+    "version": "0.0.3",
     "description": "Refactor your codebase using ChatGPT, ts-morph and Plan and Execute techniques",
     "keywords": [
         "gpt",