SkillOpt v0.1.0: initial release

- Skill optimization framework with training loop analogy - 11 benchmarks, 4 model backends (Azure OpenAI, Claude, Codex, Qwen) - WebUI for browser-based training control - Pluggable architecture for extending benchmarks and backends
2026-05-21 17:22:04 +00:00
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+# Vendored from SkillRL (Apache-2.0 License)
+# Original: agent_system/environments/env_package/alfworld/projection.py
+
+from typing import List
+import re
+
+
+def alfworld_projection(actions: List[str], action_pools: List[List[str]]):
+    """Process raw model outputs into valid ALFWorld actions.
+
+    Extracts text from ``<action>...</action>`` tags and validates that
+    the response also contains ``<think>...</think>`` tags.
+
+    Parameters
+    ----------
+    actions : list[str]
+        Raw model outputs, one per environment.
+    action_pools : list[list[str]]
+        Admissible action lists per environment (unused but kept for API compat).
+
+    Returns
+    -------
+    actions : list[str]
+        Cleaned action strings.
+    valids : list[int]
+        1 if the action was successfully parsed, 0 otherwise.
+    """
+    valids = [0] * len(actions)
+
+    for i in range(len(actions)):
+        original_str = actions[i]
+        actions[i] = actions[i].lower()
+
+        start_tag = "<action>"
+        end_tag = "</action>"
+        start_idx = actions[i].find(start_tag)
+        end_idx = actions[i].find(end_tag)
+        try:
+            if start_idx == -1 or end_idx == -1:
+                actions[i] = actions[i][-30:]
+                continue
+
+            extracted_action = actions[i][start_idx + len(start_tag):end_idx].strip().lower()
+            actions[i] = extracted_action
+            valids[i] = 1
+
+        except Exception:
+            actions[i] = actions[i][-30:]
+
+        # Require <think>...</think>
+        think_start_idx = original_str.find("<think>")
+        think_end_idx = original_str.find("</think>")
+        if think_start_idx == -1 or think_end_idx == -1:
+            valids[i] = 0
+
+        # Reject responses containing Chinese characters
+        if re.search(r'[\u4e00-\u9fff]', original_str):
+            valids[i] = 0
+
+    return actions, valids