swe-bench

examples/swebench/README.md

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+SWE-bench (Remote) - Local (non-Docker) Setup and Usage
+
+Prerequisites
+- Python 3.12 environment (same one you use for this repo)
+- Fireworks API key
+- mini-swe-agent and datasets (for patch generation)
+- SWE-bench harness installed (for evaluation)
+
+Setup mini-swe-agent (non-Docker)
+1) Install dependencies
+```bash
+pip install mini-swe-agent datasets
+```
+
+2) Configure API key for mini-swe-agent
+```bash
+mini-extra config set FIREWORKS_API_KEY <your_fireworks_key>
+```
+
+3) (Optional) Test connectivity
+```bash
+python3 examples/swebench/run_swe_agent_fw.py fireworks_ai/accounts/fireworks/models/kimi-k2-instruct-0905 --test
+```
+
+Install SWE-bench evaluation harness
+```bash
+git clone https://github.com/princeton-nlp/SWE-bench
+pip install -e SWE-bench
+```
+
+Environment
+```bash
+export FIREWORKS_API_KEY="<your_fireworks_key>"
+```
+
+Run the server
+```bash
+python examples/swebench/server.py
+```
+
+What the server does
+- Invokes `run_swe_agent_fw.py` in batch mode with a single-slice per request
+- Writes outputs to a per-row directory: `./row_{index}/`
+  - `row_{index}/preds.json`
+  - `row_{index}/<instance_id>/<instance_id>.traj.json`
+- Runs the SWE-bench harness on `row_{index}/preds.json`
+
+Run pytest to evaluate a model on SWE-bench
+```bash
+cd /Users/shrey/Documents/python-sdk
+pytest examples/swebench/tests/test_swebench.py -v -s
+```
+
+Notes
+- The test currently generates 10 rows by numeric index (0–9)
+- Each request triggers the server to run one SWE-bench instance and write to its own `row_{index}`
+- Control harness workers via: `export SWEBENCH_EVAL_WORKERS=5`