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feat: configurable tool iterations, auto-approve, and policy fix (#251)
* feat: direct agentic loop for SWE-bench benchmarks Replace the full Agent-based runner with a purpose-built agentic loop that directly calls the LLM with tools. The old path routed through SafetyLayer (which blocked SWE-bench prompts), dispatcher (capped at 10 iterations), approval flow (wasted iterations), and 20+ irrelevant builtin tools (diluted the model's focus). New architecture: - AgenticLoop: LLM call -> tool execution -> repeat (up to 30 iters) - Per-task tool scoping via BenchSuite::task_tools() with working dirs - Suite-provided system prompts via BenchSuite::system_prompt() - No safety layer, no approval flow, no sessions/threads overhead - Configurable max_iterations in BenchConfig and TOML Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: apply --model CLI override to LLM provider The --model flag was updating matrix entry labels but not the actual LLM provider, so requests were still sent using the model from .env. Co-Authored-By: Claude Opus 4.6 <[email protected]> * feat: configurable tool iterations and auto-approve for benchmarks Add max_tool_iterations and auto_approve_tools settings to AgentConfig, replacing the hardcoded MAX_TOOL_ITERATIONS constant. Fix shell_injection policy rule to not block markdown backtick code snippets. Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: address benchmarks crate audit findings High: - Fix truncate_output UTF-8 panic on multi-byte char boundaries - Fix parallel results durability (write JSONL per-task, not after all) Medium: - Fix --sample to use random shuffle instead of first-N - Delegate all LlmProvider methods in InstrumentedLlm - Fix LLM-as-judge to return fail instead of misleading 0.5 - Remove unnecessary shallow clone (always gets unshallowed) - Replace .unwrap() with .expect() in LazyLock regex init Low: - Remove dead code: unused error variants, trait methods, struct fields - Remove BenchSuite::name() (redundant with id()) - Remove TaskSubmission::conversation, ConversationTurn, TurnRole - Remove unused methods from BenchChannel, results, config - Clean up ChannelCapture conversation tracking Co-Authored-By: Claude Opus 4.6 <[email protected]> * feat: add SWE-bench dataset and Docker scoring infrastructure Add the SWE-bench Lite dataset (300 tasks) and Docker files for isolated test execution and scoring of SWE-bench patches. Co-Authored-By: Claude Opus 4.6 <[email protected]> * chore: remove benchmarks (extracted to separate repo) Benchmarks crate has been extracted to its own repository. Remove the workspace member and all benchmarks/ files. Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: add missing AgentConfig fields in test initializer Co-Authored-By: Claude Opus 4.6 <[email protected]> --------- Co-authored-by: Claude Opus 4.6 <[email protected]>
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co-authored by
Claude Opus 4.6
parent
1f18422b88
commit
e8dcb52fda
@@ -23,6 +23,10 @@ pub struct AgentConfig {
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pub max_cost_per_day_cents: Option<u64>,
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/// Maximum LLM/tool actions per hour. None = unlimited.
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pub max_actions_per_hour: Option<u64>,
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/// Maximum tool-call iterations per agentic loop invocation. Default 50.
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pub max_tool_iterations: usize,
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/// When true, skip tool approval checks entirely. For benchmarks/CI.
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pub auto_approve_tools: bool,
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}
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impl AgentConfig {
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@@ -115,6 +119,22 @@ impl AgentConfig {
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key: "MAX_ACTIONS_PER_HOUR".to_string(),
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message: format!("must be a positive integer: {e}"),
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})?,
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max_tool_iterations: optional_env("AGENT_MAX_TOOL_ITERATIONS")?
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.map(|s| s.parse())
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.transpose()
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.map_err(|e| ConfigError::InvalidValue {
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key: "AGENT_MAX_TOOL_ITERATIONS".to_string(),
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message: format!("must be a positive integer: {e}"),
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})?
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.unwrap_or(settings.agent.max_tool_iterations),
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auto_approve_tools: optional_env("AGENT_AUTO_APPROVE_TOOLS")?
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.map(|s| s.parse())
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.transpose()
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.map_err(|e| ConfigError::InvalidValue {
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key: "AGENT_AUTO_APPROVE_TOOLS".to_string(),
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message: format!("must be 'true' or 'false': {e}"),
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})?
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.unwrap_or(settings.agent.auto_approve_tools),
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})
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}
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}
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