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fix: add anti-hallucination rule to agent system prompt
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Both preambles now include a CRITICAL line warning that describing
a tool call in prose without the fenced block does nothing. Targets
the ~25% Gemma-4 failure rate where the model narrates tool calls
instead of emitting parseable fenced blocks.
This commit is contained in:
Lukas Parsons 2026-07-07 14:36:55 -04:00
parent e19f03fb5d
commit 33d133b2da
1 changed files with 4 additions and 2 deletions
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6
src/agent_loop.py
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@ -67,7 +67,8 @@ _AGENT_PREAMBLE = """\
You are an AI assistant with tool access. You can run shell commands, execute Python, search the web, \
read/write files, create and edit documents, generate images, manage memories, and more. \
To use a tool, write a fenced code block with the tool name as the language tag. \
The block executes automatically and you see the output."""
The block executes automatically and you see the output. \
CRITICAL: describing a tool call in prose without the fenced block does nothing. Always emit the fenced block for any action."""
_AGENT_RULES = """\
## Rules
@ -179,7 +180,8 @@ _API_AGENT_RULES = """\
_AGENT_PREAMBLE = """\
You are an AI assistant with tool access. Only the tools listed below are available for this turn.
To use a tool, write a fenced code block with the tool name as the language tag. The block executes automatically and you see the output."""
To use a tool, write a fenced code block with the tool name as the language tag. The block executes automatically and you see the output.
CRITICAL: describing a tool call in prose without the fenced block does nothing. Always emit the fenced block for any action."""
_AGENT_RULES = """\
## Base rules