Polar integration

responses_api_agents/polar/README.md

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+# Polar Agent
+
+Gym adapter for ProRL-Agent-Server Polar inference on SWE-Gym rows.
+
+The agent converts each Gym `/run` request into the single-row JSONL format used by
+`ProRL-Agent-Server/examples/swegym_slime_grpo/simple_inference.py`, runs Polar
+inference, then converts the result JSON back into a Gym `NeMoGymResponse`.
+
+## Modes
+
+- `direct`: assumes an OpenAI-compatible SGLang server is already running at
+  `base_url`, then calls `simple_inference.py` directly.
+- `slurm`: submits
+  `ProRL-Agent-Server/examples/swegym_slime_grpo/submit_simple_inference.sh` and
+  waits for the script's result JSON. Use this mode when you want the same SLURM
+  path as the standalone inference script.
+
+## Example
+
+Start Gym with the Polar config:
+
+```bash
+ng_run "+config_paths=[responses_api_agents/polar/configs/polar.yaml]"
+```
+
+Collect one rollout:
+
+```bash
+ng_collect_rollouts \
+  +agent_name=polar \
+  +input_jsonl_fpath=responses_api_agents/polar/data/example.jsonl \
+  +output_jsonl_fpath=outputs/polar/example_rollouts.jsonl \
+  +limit=1 \
+  +upload_rollouts_to_wandb=false
+```
+
+For SLURM-backed inference, override the mode and any submit-script environment
+variables:
+
+```bash
+ng_run "+config_paths=[responses_api_agents/polar/configs/polar.yaml]" \
+  ++polar.responses_api_agents.polar.mode=slurm \
+  ++polar.responses_api_agents.polar.slurm_env.POLR_TRAIN_SQSH=/path/to/polr_swegym_slime_grpo_train.sqsh \
+  ++polar.responses_api_agents.polar.slurm_env.HF_CHECKPOINT=/path/to/hf/checkpoint
+```
+
+`/run` returns `reward=0.0` by default because this adapter is inference-only and
+does not run a SWE-bench evaluator.

responses_api_agents/polar/__init__.py

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+"""Polar responses API agent integration."""