tenseleyflow/loader / 3ba7f7a

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Remove bracket tool-call instructions for native mode so models use API tool calling

Authored by espadonne
SHA
3ba7f7a948d567963e41d008dbf671582e5fe8e8
Parents
c66d15b
Tree
1e0e348

2 changed files

StatusFile+-
M src/loader/runtime/prompting.py 5 13
M src/loader/runtime/public_shell.py 3 12
src/loader/runtime/prompting.pymodified
@@ -360,16 +360,8 @@ def _tool_call_instructions(use_react: bool) -> str:
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             ]
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         )
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-    return "\n".join(
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-            [
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-                "Call tools directly using bracket syntax.",
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-                "",
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-                "Examples:",
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-                '- `[bash: command="pwd"]`',
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-                '- `[write: file_path="hello.py", content="print(\'hello\')"]`',
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-                (
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-                    '- `[TodoWrite: todos=[{content="Run tests", '
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-                    'active_form="Running tests", status="in_progress"}]]`'
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-                ),
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-            ]
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-        )
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+    return (
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+        "Call tools directly when needed. Do not narrate or describe tool "
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+        "usage — invoke the tool instead. The runtime handles tool call "
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+        "formatting automatically."
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+    )
src/loader/runtime/public_shell.pymodified
@@ -682,18 +682,9 @@ def build_runtime_few_shot_examples(*, use_react: bool) -> list[Message]:
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             Message(role=Role.TOOL, content="Created hello.py"),
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             Message(role=Role.ASSISTANT, content="Done."),
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         ]
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-    return [
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-        Message(
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-            role=Role.USER,
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-            content="Create a file called hello.py that prints hello",
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-        ),
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-        Message(
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-            role=Role.ASSISTANT,
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-            content='[write: file_path="hello.py", content="print(\'hello\')"]',
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-        ),
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-        Message(role=Role.TOOL, content="Created hello.py"),
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-        Message(role=Role.ASSISTANT, content="Done."),
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-    ]
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+    # Native tool calling: no text-based few-shot examples needed.
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+    # The model uses the API tool-calling mechanism directly.
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+    return []
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 def _copy_rule_counts(rule_counts: dict[str, int]) -> dict[str, int]: