mirror of
https://github.com/outbackdingo/optimclaw.git
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feat: Add benchmarking harness with spot suite (#10)
* feat: Add benchmarking harness for agent evaluation Introduces ironclaw-bench, a Rust-native benchmarking crate that drives the real agent loop headlessly. Supports standard benchmarks (GAIA, Tau-bench, SWE-bench Pro) and custom JSONL task sets with parallel execution, resume support, and incremental JSONL output. Key components: - BenchChannel: headless Channel impl with auto-approval and response capture - InstrumentedLlm: LlmProvider wrapper recording per-call token/cost metrics - BenchRunner: task orchestration with parallel execution and JSONL resume - Scoring utilities: exact match, contains, regex (all with normalization) - CLI: run, results, compare, list subcommands via clap - Four suite adapters: custom, gaia, tau_bench, swe_bench Also fixes a pre-existing missing SseEvent::ToolResult match arm in the web gateway and adds FinishReason to the LLM module's public re-exports. Co-Authored-By: Claude Opus 4.6 <[email protected]> * feat: Add spot benchmark suite for end-to-end agent verification Adds a "spot" suite with 13 scenarios across 4 categories (smoke, tool use, multi-tool chaining, robustness) using multi-criterion assertions instead of simple text matching. Also adds an `error` field to TaskSubmission so suites can hard-fail on agent errors. Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: address audit findings in benchmarks crate - Fix O(n²) scoring loop by indexing tasks in a HashMap (was re-parsing JSONL per result) - Add UTF-8-safe truncation to prevent panic on multi-byte chars in channel capture - Wire setup_task/teardown_task into both sequential and parallel runner paths - Convert BenchRunner.suite from Box to Arc for parallel task setup/teardown - Add tracing::warn for placeholder scores in custom, swe_bench, tau_bench adapters - Add spot suite to CLI help text - Add doc comment clarifying tools_used HashSet behavior in SpotAssertions - Reorder match arms in create_suite to match KNOWN_SUITES alphabetical order Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: rewrite tasks.jsonl with scored results after scoring The JSONL file was only written during execution (pre-scoring), so the `results` command showed "pending" scores even after scoring completed. Now the runner rewrites the JSONL with final scored results, keeping task-level and aggregate data consistent. Co-Authored-By: Claude Opus 4.6 <[email protected]> * feat: prefix benchmark runs with model name and commit hash Run logs and results table now show the base model and short git commit hash, making it easy to correlate results with code versions. The commit hash is also persisted in run.json for historical tracking. Co-Authored-By: Claude Opus 4.6 <[email protected]> * feat: add 8 memory benchmark scenarios to spot suite Tests save-and-recall workflows using file tools: - daily tasks, reminders, meeting notes, append logs - detail extraction, todo priorities, multi-file ops - context updates (write-read-rewrite-verify) Total spot scenarios: 13 -> 21 Co-Authored-By: Claude Opus 4.6 <[email protected]> * chore: fmt channel.rs and gitignore bench-results Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: address critical and high findings from PR review - Fix race condition: parallel mode now writes JSONL after all tasks complete instead of concurrent unsynchronized appends - Fix UTF-8 panic: use .chars().take(25) instead of byte slicing on task_id which could panic on multi-byte characters - Remove dead code: max_iterations (parsed but never used), tool_whitelist() (declared but never called), MatrixEntry.tools (declared but never applied) - Eliminate double load_tasks(): cache task list on first load and reuse the index for scoring instead of re-reading from disk Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: relax smoke-greeting assertion to not demand parrot greeting The LLM often introduces itself without echoing "hello" back. Use a regex that accepts any reasonable self-introduction (hello, hi, hey, assistant, agent, help) instead of demanding a specific word. Co-Authored-By: Claude Opus 4.6 <[email protected]> * feat: 100% spot baseline (GPT-5.2 @ 2c43b83, 21/21 pass) Relax two brittle assertions: - smoke-greeting: use regex for any reasonable self-intro instead of demanding the model parrot "hello" - memory-update-context: drop response_not_contains PST since the model correctly says "not PST" which triggers the literal check - memory-multifile: lower min_tool_calls from 4 to 3, the model can batch two writes in one LLM turn Baseline results committed to benchmarks/baselines/ for regression tracking. Local runs stay in bench-results/ (gitignored). Results: 100.0% pass, 1.000 avg, $0.31 cost, 111s wall time Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: address remaining PR review comments - Replace .expect("semaphore closed") with proper error handling - Derive PartialEq on BenchScore for cleaner test assertions - Use ToPrimitive::to_f64() instead of string roundtrip in estimated_cost() - Validate SWE-bench inputs: task_id (path traversal), repo (owner/repo format), base_commit (valid git ref) with 5 new tests - Skip "pending" (unscored) entries during resume so they get re-executed - Use run.json mtime for find_latest_run (falls back to tasks.jsonl, then dir) - Move additional_tools() outside parallel loop to share Arc<[Tool]> across tasks - Add doc comments documenting known limitations (single-turn, resources, conversation) Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: reject absolute paths in SWE-bench and validate matrix config - is_safe_path_component now rejects paths starting with '/' - BenchConfig::from_file validates matrix is non-empty - Added tests for both validations Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: fail tasks on setup_task error and compute git hash once - setup_task failure now records an error TaskResult instead of continuing to run the task (both sequential and parallel paths) - git_short_hash() computed once per run instead of twice Co-Authored-By: Claude Opus 4.6 <[email protected]> --------- Co-authored-by: Claude Opus 4.6 <[email protected]>
This commit is contained in:
Illia Polosukhin
co-authored by
Claude Opus 4.6
Claude Opus 4.6
parent
a158eee1b0
commit
8e6e84a08d
@@ -13,6 +13,9 @@
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target/
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# Benchmark results (local runs, not committed)
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bench-results/
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# WASM build artifacts (loaded from disk, not bundled)
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*.wasm
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Generated
+24
@@ -2558,6 +2558,30 @@ dependencies = [
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"zbus",
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]
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[[package]]
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name = "ironclaw-bench"
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version = "0.1.0"
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dependencies = [
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"anyhow",
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"async-trait",
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"chrono",
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"clap",
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"futures",
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"ironclaw",
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"regex",
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"rust_decimal",
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"serde",
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"serde_json",
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"tempfile",
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"thiserror 2.0.18",
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"tokio",
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"tokio-stream",
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"toml",
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"tracing",
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"tracing-subscriber",
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"uuid",
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]
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[[package]]
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name = "is-docker"
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version = "0.2.0"
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@@ -1,4 +1,5 @@
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[workspace]
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members = [".", "benchmarks"]
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exclude = [
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"channels-src/telegram",
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"channels-src/slack",
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@@ -0,0 +1,49 @@
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[package]
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name = "ironclaw-bench"
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version = "0.1.0"
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edition = "2024"
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rust-version = "1.85"
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description = "Benchmarking harness for IronClaw agent"
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license = "MIT OR Apache-2.0"
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[[bin]]
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name = "ironclaw-bench"
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path = "src/main.rs"
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[dependencies]
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ironclaw = { path = ".." }
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# Async runtime
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tokio = { version = "1", features = ["full"] }
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tokio-stream = { version = "0.1", features = ["sync"] }
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futures = "0.3"
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# Serialization
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serde = { version = "1", features = ["derive"] }
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serde_json = "1"
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toml = "0.8"
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# CLI
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clap = { version = "4", features = ["derive"] }
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# Core types
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uuid = { version = "1", features = ["v4", "serde"] }
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chrono = { version = "0.4", features = ["serde"] }
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rust_decimal = { version = "1", features = ["serde", "serde-with-str"] }
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# Error handling
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thiserror = "2"
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anyhow = "1"
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# Async traits
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async-trait = "0.1"
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# Logging
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tracing = "0.1"
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tracing-subscriber = { version = "0.3", features = ["env-filter"] }
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# Scoring
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regex = "1"
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[dev-dependencies]
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tempfile = "3"
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@@ -0,0 +1,15 @@
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{
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"run_id": "8a48de1f-09ce-4c35-9ad1-dad98fb83a1a",
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"suite_id": "spot",
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"config_label": "default",
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"model": "openai/gpt-5.2",
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"commit_hash": "2c43b83",
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"pass_rate": 1.0,
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"avg_score": 1.0,
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"total_tasks": 21,
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"completed_tasks": 21,
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"total_cost_usd": 0.307053,
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"total_wall_time_ms": 111009,
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"started_at": "2026-02-17T22:02:08.206112Z",
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"finished_at": "2026-02-17T22:03:59.270325Z"
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}
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@@ -0,0 +1,21 @@
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{"task_id":"smoke-greeting","suite_id":"spot","score":{"value":1.0,"label":"pass","details":null},"trace":{"wall_time_ms":2037,"llm_calls":1,"input_tokens":1359,"output_tokens":65,"estimated_cost_usd":0.005052,"tool_calls":[],"turns":1,"hit_iteration_limit":false,"hit_timeout":false},"response":"I’m NEAR AI Agent—an autonomous assistant that helps you plan, write, debug, and execute tasks using available tools (like reading/writing files, running shell commands, and making HTTP requests). Tell me what you’re working on and what outcome you want, and I’ll drive it to completion.","started_at":"2026-02-17T22:02:08.206165Z","finished_at":"2026-02-17T22:02:10.243552Z","config_label":"default","error":null}
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{"task_id":"smoke-math","suite_id":"spot","score":{"value":1.0,"label":"pass","details":null},"trace":{"wall_time_ms":2038,"llm_calls":1,"input_tokens":1366,"output_tokens":5,"estimated_cost_usd":0.004173,"tool_calls":[],"turns":1,"hit_iteration_limit":false,"hit_timeout":false},"response":"1081","started_at":"2026-02-17T22:02:10.243933Z","finished_at":"2026-02-17T22:02:12.282133Z","config_label":"default","error":null}
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{"task_id":"tool-echo","suite_id":"spot","score":{"value":1.0,"label":"pass","details":null},"trace":{"wall_time_ms":2646,"llm_calls":2,"input_tokens":2786,"output_tokens":24,"estimated_cost_usd":0.008718,"tool_calls":[{"name":"echo","duration_ms":0,"success":true}],"turns":1,"hit_iteration_limit":false,"hit_timeout":false},"response":"Spot check passed","started_at":"2026-02-17T22:02:12.282294Z","finished_at":"2026-02-17T22:02:14.928540Z","config_label":"default","error":null}
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{"task_id":"tool-time","suite_id":"spot","score":{"value":1.0,"label":"pass","details":null},"trace":{"wall_time_ms":3460,"llm_calls":2,"input_tokens":2839,"output_tokens":78,"estimated_cost_usd":0.009687,"tool_calls":[{"name":"time","duration_ms":0,"success":true}],"turns":1,"hit_iteration_limit":false,"hit_timeout":false},"response":"Current date/time (UTC): **2026-02-17 22:02:16** \nISO 8601: **2026-02-17T22:02:16.045933+00:00**","started_at":"2026-02-17T22:02:14.928810Z","finished_at":"2026-02-17T22:02:18.389188Z","config_label":"default","error":null}
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{"task_id":"tool-json-query","suite_id":"spot","score":{"value":1.0,"label":"pass","details":null},"trace":{"wall_time_ms":2751,"llm_calls":2,"input_tokens":2839,"output_tokens":43,"estimated_cost_usd":0.009162,"tool_calls":[{"name":"json","duration_ms":0,"success":true}],"turns":1,"hit_iteration_limit":false,"hit_timeout":false},"response":"Bob","started_at":"2026-02-17T22:02:18.389812Z","finished_at":"2026-02-17T22:02:21.141146Z","config_label":"default","error":null}
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{"task_id":"tool-shell-echo","suite_id":"spot","score":{"value":1.0,"label":"pass","details":null},"trace":{"wall_time_ms":3460,"llm_calls":2,"input_tokens":2811,"output_tokens":25,"estimated_cost_usd":0.008808,"tool_calls":[{"name":"shell","duration_ms":0,"success":true}],"turns":1,"hit_iteration_limit":false,"hit_timeout":false},"response":"benchmark test","started_at":"2026-02-17T22:02:21.141384Z","finished_at":"2026-02-17T22:02:24.601812Z","config_label":"default","error":null}
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{"task_id":"tool-list-dir","suite_id":"spot","score":{"value":1.0,"label":"pass","details":null},"trace":{"wall_time_ms":19146,"llm_calls":2,"input_tokens":4370,"output_tokens":1337,"estimated_cost_usd":0.033165,"tool_calls":[{"name":"list_dir","duration_ms":0,"success":true}],"turns":1,"hit_iteration_limit":false,"hit_timeout":false},"response":"```\nclaude-501/\nclaude-505/\nclaude/\ncodex/\ncom.apple.launchd.HqYyNM7hoK/\ncom.apple.launchd.Z0bTtlsPEN/\ncom.apple.launchd.oY8y5gkzN4/\ncom.apple.launchd.sdo3WGu0S7/\ndata-gym-cache/\ndocker-desktop-privileged2203342862/\ngrammers-test/\nnear-agent-target/\nnear-market-bot-push/\nnear-market-bot/\nopenclaw/\npowerlog/\ntest_grpo/\ntest_grpo2/\ntest_grpo_entry/\ntest_grpo_mix/\ntest_grpo_singleton/\ntmpybtjiuc0/\n.d8bd37babaf2f1f7-00000000.node (5.9MB)\n.d8bd37fbfbb0f7ff-00000000.node (5.9MB)\n.d8bd3d9bdf6dd3f7-00000000.node (5.9MB)\n.d8bd3fbfbf21ddf7-00000000.node (5.9MB)\n.d8bd7dfebb38d5ff-00000000.node (5.9MB)\n.d8bdf5deba3bf1f7-00000000.node (5.9MB)\n.d8bdf7cfff76f3f7-00000000.node (5.9MB)\n.d8bdfd8ffe26d5ff-00000000.node (5.9MB)\n.d8bdfdeb9ba8dbff-00000000.node (5.9MB)\n.d8bdfffe9ab2ddff-00000000.node (5.9MB)\n.s.PGSQL.5432 (0B)\n.s.PGSQL.5432.lock (56B)\n__KMP_REGISTERED_LIB_75079 (1.0KB)\nagent_loop_new.rs (28.5KB)\nagent_mod.rs (1.6KB)\nauth_trace.md (10.8KB)\nbench-daily.md (72B)\nbench-log.md (109B)\nbench-meeting.md (160B)\nbench-monday.md (44B)\nbench-prefs.md (61B)\nbench-project.md (213B)\nbench-reminder.md (68B)\nbench-todo.md (153B)\nbench-tuesday.md (40B)\ncac-deck.html (151.5KB)\ncircuit_breaker.rs (22.1KB)\ncli_config.rs (9.1KB)\ncli_service.rs (1.1KB)\ncommands.rs (17.5KB)\nconfig.rs (58.4KB)\nconflicts_summary.md (21.4KB)\ncost_guard.rs (11.3KB)\ndebug_forc2.py (2.8KB)\ndebug_forc3.py (3.0KB)\ndebug_forc4.py (3.0KB)\ndebug_forc5.py (4.0KB)\ndebug_forc6.py (3.9KB)\ndebug_forc7.py (2.7KB)\ndebug_forc8.py (2.9KB)\ndebug_forc_prove.py (3.0KB)\ndispatcher.rs (26.2KB)\ndoctor.rs (8.4KB)\nhygiene.rs (7.3KB)\nironclaw_blog_test.png (21.4KB)\nironclaw_browser_test_viewport.png (156.1KB)\nironclaw_linkedin_debug.png (6.5KB)\nironclaw_spot_test.txt (19B)\nkeys_chain_signatures.rs (6.1KB)\nkeys_error.rs (1.6KB)\nkeys_intents.rs (5.8KB)\nkeys_mod.rs (31.6KB)\nkeys_policy.rs (31.4KB)\nkeys_rpc.rs (8.5KB)\nkeys_signer.rs (8.0KB)\nkeys_spending.rs (5.9KB)\nkeys_transaction.rs (13.7KB)\nkeys_types.rs (17.4KB)\nleak_detection_research_summary.md (13.0KB)\nleak_detector.rs (25.3KB)\nlib_new.rs (5.0KB)\nllm_mod.rs (10.0KB)\nmain.rs (56.8KB)\nmain_bootstrap.rs (11.0KB)\nmain_rs.txt (34.1KB)\nnear_resp.json (39B)\nobs_log.rs (5.9KB)\nobs_mod.rs (2.7KB)\nobs_multi.rs (4.0KB)\nobs_noop.rs (1.5KB)\nobs_traits.rs (4.0KB)\nour_bootstrap.rs (12.6KB)\nour_config.rs (45.2KB)\npost_final_review.py (6.4KB)\npost_review.py (4.6KB)\npost_review2.py (4.8KB)\npost_review3.py (2.2KB)\npr-35.diff (137.4KB)\npr115.diff (1.6MB)\npr126.diff (336.9KB)\npr14_full_diff.txt (193.4KB)\npr39_files.txt (243B)\npr51_files.txt (548B)\npr93_diff.txt (160.4KB)\nprs.json (4.6KB)\nresponse_cache.rs (15.1KB)\nrun_hard_proof_search.sh (545B)\nrun_hard_proof_search2.sh (515B)\nrun_proof_search_v3.sh (523B)\nrun_proof_search_v4.sh (524B)\nservice.rs (11.9KB)\nsettings.rs (34.7KB)\ntest_line.py (789B)\ntest_search.txt (1.8KB)\nthread_ops.rs (38.5KB)\ntool_wit.txt (6.0KB)\ntunnel_cf.rs (3.9KB)\ntunnel_custom.rs (6.2KB)\ntunnel_mod.rs (10.4KB)\ntunnel_ngrok.rs (4.2KB)\ntunnel_none.rs (1.3KB)\ntunnel_ts.rs (3.5KB)\nwasm_capabilities.rs (15.2KB)\nwasm_capabilities_schema.rs (26.2KB)\nwasm_host.rs (25.3KB)\nwasm_wrapper.rs (14.9KB)\n```","started_at":"2026-02-17T22:02:24.602248Z","finished_at":"2026-02-17T22:02:43.748463Z","config_label":"default","error":null}
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{"task_id":"chain-write-read","suite_id":"spot","score":{"value":1.0,"label":"pass","details":null},"trace":{"wall_time_ms":5712,"llm_calls":3,"input_tokens":4489,"output_tokens":73,"estimated_cost_usd":0.014562,"tool_calls":[{"name":"write_file","duration_ms":0,"success":true},{"name":"read_file","duration_ms":0,"success":true}],"turns":1,"hit_iteration_limit":false,"hit_timeout":false},"response":"It says: `ironclaw spot check`.","started_at":"2026-02-17T22:02:43.749933Z","finished_at":"2026-02-17T22:02:49.462007Z","config_label":"default","error":null}
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{"task_id":"chain-shell-json","suite_id":"spot","score":{"value":1.0,"label":"pass","details":null},"trace":{"wall_time_ms":4582,"llm_calls":3,"input_tokens":4433,"output_tokens":94,"estimated_cost_usd":0.014709,"tool_calls":[{"name":"shell","duration_ms":0,"success":true},{"name":"json","duration_ms":0,"success":true}],"turns":1,"hit_iteration_limit":false,"hit_timeout":false},"response":"[Called tool `json` with arguments: {\"data\":{\"code\":200,\"status\":\"ok\"},\"operation\":\"query\",\"path\":\"status\"}]","started_at":"2026-02-17T22:02:49.463794Z","finished_at":"2026-02-17T22:02:54.046092Z","config_label":"default","error":null}
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{"task_id":"chain-time-echo","suite_id":"spot","score":{"value":1.0,"label":"pass","details":null},"trace":{"wall_time_ms":4583,"llm_calls":3,"input_tokens":4404,"output_tokens":76,"estimated_cost_usd":0.014352,"tool_calls":[{"name":"time","duration_ms":0,"success":true},{"name":"echo","duration_ms":0,"success":true}],"turns":1,"hit_iteration_limit":false,"hit_timeout":false},"response":"2026-02-17T22:02:55.786456+00:00","started_at":"2026-02-17T22:02:54.046306Z","finished_at":"2026-02-17T22:02:58.629389Z","config_label":"default","error":null}
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{"task_id":"robust-no-tool","suite_id":"spot","score":{"value":1.0,"label":"pass","details":null},"trace":{"wall_time_ms":1020,"llm_calls":1,"input_tokens":1366,"output_tokens":5,"estimated_cost_usd":0.004173,"tool_calls":[],"turns":1,"hit_iteration_limit":false,"hit_timeout":false},"response":"Paris.","started_at":"2026-02-17T22:02:58.630502Z","finished_at":"2026-02-17T22:02:59.650655Z","config_label":"default","error":null}
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{"task_id":"robust-correct-tool","suite_id":"spot","score":{"value":1.0,"label":"pass","details":null},"trace":{"wall_time_ms":3980,"llm_calls":2,"input_tokens":2825,"output_tokens":50,"estimated_cost_usd":0.009225,"tool_calls":[{"name":"time","duration_ms":0,"success":true}],"turns":1,"hit_iteration_limit":false,"hit_timeout":false},"response":"It’s **22:03:01 UTC** right now (**2026-02-17**).","started_at":"2026-02-17T22:02:59.650901Z","finished_at":"2026-02-17T22:03:03.631122Z","config_label":"default","error":null}
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{"task_id":"robust-json-validate","suite_id":"spot","score":{"value":1.0,"label":"pass","details":null},"trace":{"wall_time_ms":2954,"llm_calls":2,"input_tokens":2822,"output_tokens":43,"estimated_cost_usd":0.009111,"tool_calls":[{"name":"json","duration_ms":0,"success":true}],"turns":1,"hit_iteration_limit":false,"hit_timeout":false},"response":"The JSON is valid (`valid: true`).","started_at":"2026-02-17T22:03:03.631527Z","finished_at":"2026-02-17T22:03:06.585971Z","config_label":"default","error":null}
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{"task_id":"memory-save-daily","suite_id":"spot","score":{"value":1.0,"label":"pass","details":null},"trace":{"wall_time_ms":4890,"llm_calls":3,"input_tokens":4547,"output_tokens":114,"estimated_cost_usd":0.015351,"tool_calls":[{"name":"write_file","duration_ms":0,"success":true},{"name":"read_file","duration_ms":0,"success":true}],"turns":1,"hit_iteration_limit":false,"hit_timeout":false},"response":"```md\n# Daily Tasks\n\n1. Review PR #42\n2. Update API docs\n3. Deploy to staging\n```","started_at":"2026-02-17T22:03:06.586556Z","finished_at":"2026-02-17T22:03:11.476648Z","config_label":"default","error":null}
|
||||
{"task_id":"memory-save-reminder","suite_id":"spot","score":{"value":1.0,"label":"pass","details":null},"trace":{"wall_time_ms":5607,"llm_calls":3,"input_tokens":4531,"output_tokens":95,"estimated_cost_usd":0.015018,"tool_calls":[{"name":"write_file","duration_ms":0,"success":true},{"name":"read_file","duration_ms":0,"success":true}],"turns":1,"hit_iteration_limit":false,"hit_timeout":false},"response":"The appointment is on **March 5th at 2pm**, with **Dr. Smith**.","started_at":"2026-02-17T22:03:11.476873Z","finished_at":"2026-02-17T22:03:17.084343Z","config_label":"default","error":null}
|
||||
{"task_id":"memory-save-meeting","suite_id":"spot","score":{"value":1.0,"label":"pass","details":null},"trace":{"wall_time_ms":6113,"llm_calls":3,"input_tokens":4750,"output_tokens":122,"estimated_cost_usd":0.01608,"tool_calls":[{"name":"write_file","duration_ms":0,"success":true},{"name":"read_file","duration_ms":0,"success":true}],"turns":1,"hit_iteration_limit":false,"hit_timeout":false},"response":"Frontend owner: **Bob** \nLaunch date: **April 15th**","started_at":"2026-02-17T22:03:17.085432Z","finished_at":"2026-02-17T22:03:23.198905Z","config_label":"default","error":null}
|
||||
{"task_id":"memory-append-log","suite_id":"spot","score":{"value":1.0,"label":"pass","details":null},"trace":{"wall_time_ms":9880,"llm_calls":6,"input_tokens":9941,"output_tokens":208,"estimated_cost_usd":0.032943,"tool_calls":[{"name":"write_file","duration_ms":0,"success":true},{"name":"read_file","duration_ms":0,"success":true},{"name":"read_file","duration_ms":0,"success":true},{"name":"shell","duration_ms":0,"success":true},{"name":"read_file","duration_ms":0,"success":true}],"turns":1,"hit_iteration_limit":false,"hit_timeout":false},"response":"Contents of `/tmp/bench-log.md`:\n1. Morning standup: discussed blockers on auth service \n2. Afternoon: resolved API timeout issue in payment gateway \n\nSummary: You discussed blockers affecting the auth service during the morning standup, and later in the afternoon you resolved an API timeout issue in the payment gateway.","started_at":"2026-02-17T22:03:23.199155Z","finished_at":"2026-02-17T22:03:33.079396Z","config_label":"default","error":null}
|
||||
{"task_id":"memory-recall-detail","suite_id":"spot","score":{"value":1.0,"label":"pass","details":null},"trace":{"wall_time_ms":4989,"llm_calls":3,"input_tokens":4721,"output_tokens":121,"estimated_cost_usd":0.015978,"tool_calls":[{"name":"write_file","duration_ms":0,"success":true},{"name":"read_file","duration_ms":0,"success":true}],"turns":1,"hit_iteration_limit":false,"hit_timeout":false},"response":"The project uses **PostgreSQL** as the database, and the PM is **James**.","started_at":"2026-02-17T22:03:33.080611Z","finished_at":"2026-02-17T22:03:38.069896Z","config_label":"default","error":null}
|
||||
{"task_id":"memory-todo-priority","suite_id":"spot","score":{"value":1.0,"label":"pass","details":null},"trace":{"wall_time_ms":5916,"llm_calls":3,"input_tokens":4676,"output_tokens":110,"estimated_cost_usd":0.015678,"tool_calls":[{"name":"write_file","duration_ms":0,"success":true},{"name":"read_file","duration_ms":0,"success":true}],"turns":1,"hit_iteration_limit":false,"hit_timeout":false},"response":"High priority tasks:\n- Fix login bug\n- Security audit","started_at":"2026-02-17T22:03:38.070162Z","finished_at":"2026-02-17T22:03:43.986831Z","config_label":"default","error":null}
|
||||
{"task_id":"memory-multifile","suite_id":"spot","score":{"value":1.0,"label":"pass","details":null},"trace":{"wall_time_ms":6081,"llm_calls":4,"input_tokens":6442,"output_tokens":196,"estimated_cost_usd":0.022266,"tool_calls":[{"name":"write_file","duration_ms":0,"success":true},{"name":"read_file","duration_ms":0,"success":true},{"name":"read_file","duration_ms":0,"success":true}],"turns":1,"hit_iteration_limit":false,"hit_timeout":false},"response":"On Tuesday you have **Sprint retro at 11am**, then **team lunch at noon**.","started_at":"2026-02-17T22:03:43.988013Z","finished_at":"2026-02-17T22:03:50.069452Z","config_label":"default","error":null}
|
||||
{"task_id":"memory-update-context","suite_id":"spot","score":{"value":1.0,"label":"pass","details":null},"trace":{"wall_time_ms":9164,"llm_calls":5,"input_tokens":8354,"output_tokens":252,"estimated_cost_usd":0.028842,"tool_calls":[{"name":"write_file","duration_ms":0,"success":true},{"name":"read_file","duration_ms":0,"success":true},{"name":"apply_patch","duration_ms":0,"success":true},{"name":"read_file","duration_ms":0,"success":true}],"turns":1,"hit_iteration_limit":false,"hit_timeout":false},"response":"Final read confirms the file now says `timezone: EST`.","started_at":"2026-02-17T22:03:50.070277Z","finished_at":"2026-02-17T22:03:59.235196Z","config_label":"default","error":null}
|
||||
@@ -0,0 +1,21 @@
|
||||
{"id": "smoke-greeting", "prompt": "Hello! Introduce yourself briefly.", "tags": ["smoke"], "assertions": {"response_matches": "(?i)(hello|hi|hey|assistant|agent|help)", "no_error": true, "max_tool_calls": 0}}
|
||||
{"id": "smoke-math", "prompt": "What is 47 * 23? Reply with just the number.", "tags": ["smoke"], "assertions": {"response_contains": ["1081"], "no_error": true, "max_tool_calls": 0}}
|
||||
{"id": "tool-echo", "prompt": "Use the echo tool to repeat the message: 'Spot check passed'", "tags": ["tool"], "assertions": {"tools_used": ["echo"], "response_contains": ["Spot check passed"], "no_error": true}}
|
||||
{"id": "tool-time", "prompt": "What is the current date and time? Use the time tool.", "tags": ["tool"], "assertions": {"tools_used": ["time"], "response_matches": "20\\d{2}", "no_error": true}}
|
||||
{"id": "tool-json-query", "prompt": "Given this JSON: {\"users\": [{\"name\": \"Alice\"}, {\"name\": \"Bob\"}]}, use the json tool to extract the second user's name.", "tags": ["tool"], "assertions": {"tools_used": ["json"], "response_contains": ["Bob"], "no_error": true}}
|
||||
{"id": "tool-shell-echo", "prompt": "Use the shell tool to run: echo 'benchmark test'", "tags": ["tool"], "assertions": {"tools_used": ["shell"], "response_contains": ["benchmark test"], "no_error": true}}
|
||||
{"id": "tool-list-dir", "prompt": "Use the list_dir tool to list the contents of the /tmp directory.", "tags": ["tool"], "assertions": {"tools_used": ["list_dir"], "no_error": true}}
|
||||
{"id": "chain-write-read", "prompt": "Write the text 'ironclaw spot check' to /tmp/ironclaw_spot_test.txt using the write_file tool, then read it back using the read_file tool and tell me what it says.", "tags": ["chain"], "assertions": {"tools_used": ["write_file", "read_file"], "response_contains": ["ironclaw spot check"], "no_error": true}}
|
||||
{"id": "chain-shell-json", "prompt": "Run a shell command to output the JSON string '{\"status\": \"ok\", \"code\": 200}', then use the json tool to extract the status field.", "tags": ["chain"], "assertions": {"response_contains": ["ok"], "min_tool_calls": 1, "no_error": true}}
|
||||
{"id": "chain-time-echo", "prompt": "First get the current time using the time tool, then use the echo tool to repeat it back.", "tags": ["chain"], "assertions": {"tools_used": ["time", "echo"], "no_error": true}}
|
||||
{"id": "robust-no-tool", "prompt": "What is the capital of France? Answer directly without using any tools.", "tags": ["robust"], "assertions": {"response_contains": ["Paris"], "max_tool_calls": 0, "no_error": true}}
|
||||
{"id": "robust-correct-tool", "prompt": "What time is it right now?", "tags": ["robust"], "assertions": {"tools_used": ["time"], "tools_not_used": ["shell", "echo"], "no_error": true}}
|
||||
{"id": "robust-json-validate", "prompt": "Use the json tool to validate whether this is valid JSON: {\"key\": \"value\", \"num\": 42}", "tags": ["robust"], "assertions": {"tools_used": ["json"], "tools_not_used": ["shell"], "no_error": true}}
|
||||
{"id": "memory-save-daily", "prompt": "Save these daily tasks to /tmp/bench-daily.md:\n1. Review PR #42\n2. Update API docs\n3. Deploy to staging\nThen read the file back and confirm what was saved.", "tags": ["memory"], "assertions": {"tools_used": ["write_file", "read_file"], "response_contains": ["PR #42", "docs", "staging"], "no_error": true}}
|
||||
{"id": "memory-save-reminder", "prompt": "Write a reminder to /tmp/bench-reminder.md: Dentist appointment on March 5th at 2pm with Dr. Smith. Then read the file back and tell me when the appointment is and with whom.", "tags": ["memory"], "assertions": {"tools_used": ["write_file", "read_file"], "response_contains": ["March 5", "Smith"], "response_matches": "2(:00)?\\s*[Pp][Mm]", "no_error": true}}
|
||||
{"id": "memory-save-meeting", "prompt": "Save these meeting notes to /tmp/bench-meeting.md:\nMeeting: Project Phoenix sync\nAttendees: Alice, Bob, Carol\nDecisions:\n- Launch date: April 15th\n- Budget: $50k approved\n- Bob owns frontend, Carol owns backend\nThen read the file back and tell me who owns the frontend and what the launch date is.", "tags": ["memory"], "assertions": {"tools_used": ["write_file", "read_file"], "response_contains": ["Bob", "frontend", "April 15"], "no_error": true}}
|
||||
{"id": "memory-append-log", "prompt": "Write 'Morning standup: discussed blockers on auth service' to /tmp/bench-log.md. Then append a new line 'Afternoon: resolved API timeout issue in payment gateway' to the same file. Finally read the full file and summarize what happened.", "tags": ["memory"], "assertions": {"tools_used": ["write_file", "read_file"], "response_contains": ["auth", "timeout"], "min_tool_calls": 3, "no_error": true}}
|
||||
{"id": "memory-recall-detail", "prompt": "Save the following project context to /tmp/bench-project.md:\nProject Ironclad uses Rust for the backend, React for the frontend, and PostgreSQL for the database. The API is deployed on AWS ECS. The lead developer is Sarah and the PM is James. The sprint ends on March 20th.\nThen read it back and answer: What database does the project use, and who is the PM?", "tags": ["memory"], "assertions": {"tools_used": ["write_file", "read_file"], "response_contains": ["PostgreSQL", "James"], "no_error": true}}
|
||||
{"id": "memory-todo-priority", "prompt": "Write the following to /tmp/bench-todo.md:\n- [ ] Fix login bug (priority: HIGH)\n- [ ] Write unit tests (priority: medium)\n- [ ] Update README (priority: low)\n- [ ] Security audit (priority: HIGH)\nThen read it back and tell me which tasks are high priority.", "tags": ["memory"], "assertions": {"tools_used": ["write_file", "read_file"], "response_contains": ["login bug", "security audit"], "no_error": true}}
|
||||
{"id": "memory-multifile", "prompt": "Save 'Team standup at 9am, then client demo at 2pm' to /tmp/bench-monday.md and 'Sprint retro at 11am, team lunch at noon' to /tmp/bench-tuesday.md. Then read both files and tell me what's happening on Tuesday.", "tags": ["memory"], "assertions": {"tools_used": ["write_file", "read_file"], "response_contains": ["retro", "lunch"], "min_tool_calls": 3, "no_error": true}}
|
||||
{"id": "memory-update-context", "prompt": "Write 'User preference: dark mode, timezone: PST, language: English' to /tmp/bench-prefs.md. Then read it back, and rewrite the file changing the timezone to EST. Finally read it one more time and confirm the timezone is now EST.", "tags": ["memory"], "assertions": {"tools_used": ["write_file", "read_file"], "response_contains": ["EST"], "min_tool_calls": 4, "no_error": true}}
|
||||
@@ -0,0 +1,8 @@
|
||||
task_timeout = "120s"
|
||||
parallelism = 1
|
||||
|
||||
[[matrix]]
|
||||
label = "default"
|
||||
|
||||
[suite_config]
|
||||
dataset_path = "benchmarks/data/spot.jsonl"
|
||||
@@ -0,0 +1,243 @@
|
||||
use std::io::BufRead;
|
||||
use std::path::PathBuf;
|
||||
|
||||
use async_trait::async_trait;
|
||||
use serde::Deserialize;
|
||||
|
||||
use crate::error::BenchError;
|
||||
use crate::scoring;
|
||||
use crate::suite::{BenchScore, BenchSuite, BenchTask, TaskSubmission};
|
||||
|
||||
/// A single entry in the custom JSONL format.
|
||||
#[derive(Debug, Deserialize)]
|
||||
struct CustomEntry {
|
||||
id: String,
|
||||
prompt: String,
|
||||
#[serde(default)]
|
||||
context: Option<String>,
|
||||
#[serde(default)]
|
||||
tags: Vec<String>,
|
||||
#[serde(default)]
|
||||
expected: Option<String>,
|
||||
#[serde(default)]
|
||||
expected_contains: Option<String>,
|
||||
#[serde(default)]
|
||||
expected_regex: Option<String>,
|
||||
/// "exact", "contains", "regex", or "llm" (default: "exact")
|
||||
#[serde(default = "default_scorer")]
|
||||
scorer: String,
|
||||
}
|
||||
|
||||
fn default_scorer() -> String {
|
||||
"exact".to_string()
|
||||
}
|
||||
|
||||
/// Custom JSONL benchmark suite.
|
||||
///
|
||||
/// Each line of the JSONL file is a task with `id`, `prompt`, and scoring
|
||||
/// criteria (`expected`, `expected_contains`, `expected_regex`).
|
||||
pub struct CustomSuite {
|
||||
dataset_path: PathBuf,
|
||||
}
|
||||
|
||||
impl CustomSuite {
|
||||
pub fn new(dataset_path: impl Into<PathBuf>) -> Self {
|
||||
Self {
|
||||
dataset_path: dataset_path.into(),
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
#[async_trait]
|
||||
impl BenchSuite for CustomSuite {
|
||||
fn name(&self) -> &str {
|
||||
"Custom JSONL"
|
||||
}
|
||||
|
||||
fn id(&self) -> &str {
|
||||
"custom"
|
||||
}
|
||||
|
||||
async fn load_tasks(&self) -> Result<Vec<BenchTask>, BenchError> {
|
||||
let file = std::fs::File::open(&self.dataset_path).map_err(BenchError::Io)?;
|
||||
let reader = std::io::BufReader::new(file);
|
||||
let mut tasks = Vec::new();
|
||||
|
||||
for (line_num, line) in reader.lines().enumerate() {
|
||||
let line = line?;
|
||||
let trimmed = line.trim();
|
||||
if trimmed.is_empty() {
|
||||
continue;
|
||||
}
|
||||
let entry: CustomEntry = serde_json::from_str(trimmed)
|
||||
.map_err(|e| BenchError::Config(format!("line {}: {}", line_num + 1, e)))?;
|
||||
|
||||
let mut metadata = serde_json::json!({
|
||||
"scorer": entry.scorer,
|
||||
});
|
||||
if let Some(ref expected) = entry.expected {
|
||||
metadata["expected"] = serde_json::Value::String(expected.clone());
|
||||
}
|
||||
if let Some(ref expected_contains) = entry.expected_contains {
|
||||
metadata["expected_contains"] =
|
||||
serde_json::Value::String(expected_contains.clone());
|
||||
}
|
||||
if let Some(ref expected_regex) = entry.expected_regex {
|
||||
metadata["expected_regex"] = serde_json::Value::String(expected_regex.clone());
|
||||
}
|
||||
|
||||
tasks.push(BenchTask {
|
||||
id: entry.id,
|
||||
prompt: entry.prompt,
|
||||
context: entry.context,
|
||||
resources: vec![],
|
||||
tags: entry.tags,
|
||||
expected_turns: None,
|
||||
timeout: None,
|
||||
metadata,
|
||||
});
|
||||
}
|
||||
|
||||
Ok(tasks)
|
||||
}
|
||||
|
||||
async fn score(
|
||||
&self,
|
||||
task: &BenchTask,
|
||||
submission: &TaskSubmission,
|
||||
) -> Result<BenchScore, BenchError> {
|
||||
let scorer = task
|
||||
.metadata
|
||||
.get("scorer")
|
||||
.and_then(|v| v.as_str())
|
||||
.unwrap_or("exact");
|
||||
|
||||
match scorer {
|
||||
"exact" => {
|
||||
if let Some(expected) = task.metadata.get("expected").and_then(|v| v.as_str()) {
|
||||
Ok(scoring::exact_match(expected, &submission.response))
|
||||
} else {
|
||||
Err(BenchError::Scoring {
|
||||
task_id: task.id.clone(),
|
||||
reason: "no 'expected' field for exact scoring".to_string(),
|
||||
})
|
||||
}
|
||||
}
|
||||
"contains" => {
|
||||
if let Some(expected) = task
|
||||
.metadata
|
||||
.get("expected_contains")
|
||||
.and_then(|v| v.as_str())
|
||||
{
|
||||
Ok(scoring::contains_match(expected, &submission.response))
|
||||
} else {
|
||||
Err(BenchError::Scoring {
|
||||
task_id: task.id.clone(),
|
||||
reason: "no 'expected_contains' field for contains scoring".to_string(),
|
||||
})
|
||||
}
|
||||
}
|
||||
"regex" => {
|
||||
if let Some(pattern) = task.metadata.get("expected_regex").and_then(|v| v.as_str())
|
||||
{
|
||||
Ok(scoring::regex_match(pattern, &submission.response))
|
||||
} else {
|
||||
Err(BenchError::Scoring {
|
||||
task_id: task.id.clone(),
|
||||
reason: "no 'expected_regex' field for regex scoring".to_string(),
|
||||
})
|
||||
}
|
||||
}
|
||||
"llm" => {
|
||||
// TODO: LLM-as-judge scoring
|
||||
tracing::warn!(
|
||||
task_id = %task.id,
|
||||
"LLM-as-judge scoring not implemented, returning placeholder 0.5"
|
||||
);
|
||||
Ok(BenchScore::partial(0.5, "LLM scoring not yet implemented"))
|
||||
}
|
||||
other => Err(BenchError::Scoring {
|
||||
task_id: task.id.clone(),
|
||||
reason: format!("unknown scorer: {other}"),
|
||||
}),
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
#[cfg(test)]
|
||||
mod tests {
|
||||
use super::*;
|
||||
use std::io::Write;
|
||||
|
||||
#[tokio::test]
|
||||
async fn test_custom_load_tasks() {
|
||||
let dir = tempfile::tempdir().unwrap();
|
||||
let path = dir.path().join("tasks.jsonl");
|
||||
let mut file = std::fs::File::create(&path).unwrap();
|
||||
writeln!(
|
||||
file,
|
||||
r#"{{"id": "t1", "prompt": "What is 2+2?", "expected": "4"}}"#
|
||||
)
|
||||
.unwrap();
|
||||
writeln!(
|
||||
file,
|
||||
r#"{{"id": "t2", "prompt": "Say hello", "expected_contains": "hello", "scorer": "contains"}}"#
|
||||
)
|
||||
.unwrap();
|
||||
|
||||
let suite = CustomSuite::new(&path);
|
||||
let tasks = suite.load_tasks().await.unwrap();
|
||||
assert_eq!(tasks.len(), 2);
|
||||
assert_eq!(tasks[0].id, "t1");
|
||||
assert_eq!(tasks[1].id, "t2");
|
||||
}
|
||||
|
||||
#[tokio::test]
|
||||
async fn test_custom_exact_scoring() {
|
||||
let dir = tempfile::tempdir().unwrap();
|
||||
let path = dir.path().join("tasks.jsonl");
|
||||
let mut file = std::fs::File::create(&path).unwrap();
|
||||
writeln!(
|
||||
file,
|
||||
r#"{{"id": "t1", "prompt": "What is 2+2?", "expected": "4"}}"#
|
||||
)
|
||||
.unwrap();
|
||||
|
||||
let suite = CustomSuite::new(&path);
|
||||
let tasks = suite.load_tasks().await.unwrap();
|
||||
|
||||
let submission = TaskSubmission {
|
||||
response: "4".to_string(),
|
||||
conversation: vec![],
|
||||
tool_calls: vec![],
|
||||
error: None,
|
||||
};
|
||||
let score = suite.score(&tasks[0], &submission).await.unwrap();
|
||||
assert_eq!(score.value, 1.0);
|
||||
assert_eq!(score.label, "pass");
|
||||
}
|
||||
|
||||
#[tokio::test]
|
||||
async fn test_custom_contains_scoring() {
|
||||
let dir = tempfile::tempdir().unwrap();
|
||||
let path = dir.path().join("tasks.jsonl");
|
||||
let mut file = std::fs::File::create(&path).unwrap();
|
||||
writeln!(
|
||||
file,
|
||||
r#"{{"id": "t1", "prompt": "Greet me", "expected_contains": "hello", "scorer": "contains"}}"#
|
||||
)
|
||||
.unwrap();
|
||||
|
||||
let suite = CustomSuite::new(&path);
|
||||
let tasks = suite.load_tasks().await.unwrap();
|
||||
|
||||
let submission = TaskSubmission {
|
||||
response: "Hello there!".to_string(),
|
||||
conversation: vec![],
|
||||
tool_calls: vec![],
|
||||
error: None,
|
||||
};
|
||||
let score = suite.score(&tasks[0], &submission).await.unwrap();
|
||||
assert_eq!(score.value, 1.0);
|
||||
}
|
||||
}
|
||||
@@ -0,0 +1,185 @@
|
||||
use std::io::BufRead;
|
||||
use std::path::PathBuf;
|
||||
|
||||
use async_trait::async_trait;
|
||||
use serde::Deserialize;
|
||||
|
||||
use crate::error::BenchError;
|
||||
use crate::scoring;
|
||||
use crate::suite::{BenchScore, BenchSuite, BenchTask, TaskResource, TaskSubmission};
|
||||
|
||||
/// GAIA dataset entry (Hugging Face JSONL format).
|
||||
#[derive(Debug, Deserialize)]
|
||||
struct GaiaEntry {
|
||||
task_id: String,
|
||||
#[serde(alias = "Question")]
|
||||
question: String,
|
||||
#[serde(alias = "Final answer", alias = "final_answer")]
|
||||
final_answer: String,
|
||||
#[serde(alias = "Level", default)]
|
||||
level: Option<u32>,
|
||||
#[serde(alias = "file_name", default)]
|
||||
file_name: Option<String>,
|
||||
#[serde(alias = "Annotator Metadata", default)]
|
||||
annotator_metadata: Option<serde_json::Value>,
|
||||
}
|
||||
|
||||
/// GAIA benchmark suite.
|
||||
///
|
||||
/// Tasks are loaded from HuggingFace JSONL exports. Scoring uses normalized
|
||||
/// exact match against the `final_answer` field.
|
||||
pub struct GaiaSuite {
|
||||
dataset_path: PathBuf,
|
||||
attachments_dir: Option<PathBuf>,
|
||||
}
|
||||
|
||||
impl GaiaSuite {
|
||||
pub fn new(
|
||||
dataset_path: impl Into<PathBuf>,
|
||||
attachments_dir: Option<impl Into<PathBuf>>,
|
||||
) -> Self {
|
||||
Self {
|
||||
dataset_path: dataset_path.into(),
|
||||
attachments_dir: attachments_dir.map(|d| d.into()),
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
#[async_trait]
|
||||
impl BenchSuite for GaiaSuite {
|
||||
fn name(&self) -> &str {
|
||||
"GAIA"
|
||||
}
|
||||
|
||||
fn id(&self) -> &str {
|
||||
"gaia"
|
||||
}
|
||||
|
||||
async fn load_tasks(&self) -> Result<Vec<BenchTask>, BenchError> {
|
||||
let file = std::fs::File::open(&self.dataset_path)?;
|
||||
let reader = std::io::BufReader::new(file);
|
||||
let mut tasks = Vec::new();
|
||||
|
||||
for (line_num, line) in reader.lines().enumerate() {
|
||||
let line = line?;
|
||||
let trimmed = line.trim();
|
||||
if trimmed.is_empty() {
|
||||
continue;
|
||||
}
|
||||
let entry: GaiaEntry = serde_json::from_str(trimmed)
|
||||
.map_err(|e| BenchError::Config(format!("GAIA line {}: {}", line_num + 1, e)))?;
|
||||
|
||||
let mut resources = Vec::new();
|
||||
if let Some(ref file_name) = entry.file_name {
|
||||
if !file_name.is_empty() {
|
||||
if let Some(ref dir) = self.attachments_dir {
|
||||
resources.push(TaskResource {
|
||||
name: file_name.clone(),
|
||||
path: dir.join(file_name).to_string_lossy().to_string(),
|
||||
resource_type: crate::suite::ResourceType::File,
|
||||
});
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
let mut tags = Vec::new();
|
||||
if let Some(level) = entry.level {
|
||||
tags.push(format!("level-{level}"));
|
||||
}
|
||||
|
||||
let metadata = serde_json::json!({
|
||||
"expected": entry.final_answer,
|
||||
"level": entry.level,
|
||||
});
|
||||
|
||||
tasks.push(BenchTask {
|
||||
id: entry.task_id,
|
||||
prompt: entry.question,
|
||||
context: None,
|
||||
resources,
|
||||
tags,
|
||||
expected_turns: None,
|
||||
timeout: None,
|
||||
metadata,
|
||||
});
|
||||
}
|
||||
|
||||
Ok(tasks)
|
||||
}
|
||||
|
||||
async fn score(
|
||||
&self,
|
||||
task: &BenchTask,
|
||||
submission: &TaskSubmission,
|
||||
) -> Result<BenchScore, BenchError> {
|
||||
let expected = task
|
||||
.metadata
|
||||
.get("expected")
|
||||
.and_then(|v| v.as_str())
|
||||
.ok_or_else(|| BenchError::Scoring {
|
||||
task_id: task.id.clone(),
|
||||
reason: "missing expected answer in metadata".to_string(),
|
||||
})?;
|
||||
|
||||
Ok(scoring::exact_match(expected, &submission.response))
|
||||
}
|
||||
}
|
||||
|
||||
#[cfg(test)]
|
||||
mod tests {
|
||||
use super::*;
|
||||
use std::io::Write;
|
||||
|
||||
#[tokio::test]
|
||||
async fn test_gaia_load_tasks() {
|
||||
let dir = tempfile::tempdir().unwrap();
|
||||
let path = dir.path().join("gaia.jsonl");
|
||||
let mut file = std::fs::File::create(&path).unwrap();
|
||||
writeln!(
|
||||
file,
|
||||
r#"{{"task_id": "g1", "question": "What is the capital of France?", "final_answer": "Paris", "Level": 1}}"#
|
||||
)
|
||||
.unwrap();
|
||||
|
||||
let suite = GaiaSuite::new(&path, None::<PathBuf>);
|
||||
let tasks = suite.load_tasks().await.unwrap();
|
||||
assert_eq!(tasks.len(), 1);
|
||||
assert_eq!(tasks[0].id, "g1");
|
||||
assert!(tasks[0].tags.contains(&"level-1".to_string()));
|
||||
}
|
||||
|
||||
#[tokio::test]
|
||||
async fn test_gaia_scoring() {
|
||||
let dir = tempfile::tempdir().unwrap();
|
||||
let path = dir.path().join("gaia.jsonl");
|
||||
let mut file = std::fs::File::create(&path).unwrap();
|
||||
writeln!(
|
||||
file,
|
||||
r#"{{"task_id": "g1", "question": "Capital of France?", "final_answer": "Paris"}}"#
|
||||
)
|
||||
.unwrap();
|
||||
|
||||
let suite = GaiaSuite::new(&path, None::<PathBuf>);
|
||||
let tasks = suite.load_tasks().await.unwrap();
|
||||
|
||||
// Exact match (case insensitive)
|
||||
let submission = TaskSubmission {
|
||||
response: "paris".to_string(),
|
||||
conversation: vec![],
|
||||
tool_calls: vec![],
|
||||
error: None,
|
||||
};
|
||||
let score = suite.score(&tasks[0], &submission).await.unwrap();
|
||||
assert_eq!(score.value, 1.0);
|
||||
|
||||
// Wrong answer
|
||||
let submission = TaskSubmission {
|
||||
response: "London".to_string(),
|
||||
conversation: vec![],
|
||||
tool_calls: vec![],
|
||||
error: None,
|
||||
};
|
||||
let score = suite.score(&tasks[0], &submission).await.unwrap();
|
||||
assert_eq!(score.value, 0.0);
|
||||
}
|
||||
}
|
||||
@@ -0,0 +1,124 @@
|
||||
pub mod custom;
|
||||
pub mod gaia;
|
||||
pub mod spot;
|
||||
pub mod swe_bench;
|
||||
pub mod tau_bench;
|
||||
|
||||
use crate::config::BenchConfig;
|
||||
use crate::error::BenchError;
|
||||
use crate::suite::BenchSuite;
|
||||
|
||||
/// List of all known suite IDs.
|
||||
pub const KNOWN_SUITES: &[(&str, &str)] = &[
|
||||
("custom", "Custom JSONL tasks"),
|
||||
("gaia", "GAIA benchmark (knowledge & reasoning)"),
|
||||
("spot", "Spot checks (end-to-end user workflows)"),
|
||||
("tau_bench", "Tau-bench (multi-turn tool use)"),
|
||||
("swe_bench", "SWE-bench Pro (software engineering)"),
|
||||
];
|
||||
|
||||
/// Create a suite adapter by name.
|
||||
pub fn create_suite(name: &str, config: &BenchConfig) -> Result<Box<dyn BenchSuite>, BenchError> {
|
||||
let suite_map = config.suite_config_map();
|
||||
match name {
|
||||
"custom" => {
|
||||
let dataset_path = suite_map
|
||||
.get("dataset_path")
|
||||
.and_then(|v| v.as_str())
|
||||
.map(|s| s.to_string())
|
||||
.ok_or_else(|| {
|
||||
BenchError::Config(
|
||||
"suite_config.dataset_path is required for 'custom' suite".to_string(),
|
||||
)
|
||||
})?;
|
||||
Ok(Box::new(custom::CustomSuite::new(dataset_path)))
|
||||
}
|
||||
"gaia" => {
|
||||
let dataset_path = suite_map
|
||||
.get("dataset_path")
|
||||
.and_then(|v| v.as_str())
|
||||
.map(|s| s.to_string())
|
||||
.ok_or_else(|| {
|
||||
BenchError::Config(
|
||||
"suite_config.dataset_path is required for 'gaia' suite".to_string(),
|
||||
)
|
||||
})?;
|
||||
let attachments_dir = suite_map
|
||||
.get("attachments_dir")
|
||||
.and_then(|v| v.as_str())
|
||||
.map(|s| s.to_string());
|
||||
Ok(Box::new(gaia::GaiaSuite::new(
|
||||
dataset_path,
|
||||
attachments_dir,
|
||||
)))
|
||||
}
|
||||
"spot" => {
|
||||
let dataset_path = suite_map
|
||||
.get("dataset_path")
|
||||
.and_then(|v| v.as_str())
|
||||
.map(|s| s.to_string())
|
||||
.ok_or_else(|| {
|
||||
BenchError::Config(
|
||||
"suite_config.dataset_path is required for 'spot' suite".to_string(),
|
||||
)
|
||||
})?;
|
||||
Ok(Box::new(spot::SpotSuite::new(dataset_path)))
|
||||
}
|
||||
"tau_bench" => {
|
||||
let dataset_path = suite_map
|
||||
.get("dataset_path")
|
||||
.and_then(|v| v.as_str())
|
||||
.map(|s| s.to_string())
|
||||
.ok_or_else(|| {
|
||||
BenchError::Config(
|
||||
"suite_config.dataset_path is required for 'tau_bench' suite".to_string(),
|
||||
)
|
||||
})?;
|
||||
let domain = suite_map
|
||||
.get("domain")
|
||||
.and_then(|v| v.as_str())
|
||||
.unwrap_or("retail")
|
||||
.to_string();
|
||||
Ok(Box::new(tau_bench::TauBenchSuite::new(
|
||||
dataset_path,
|
||||
domain,
|
||||
)))
|
||||
}
|
||||
"swe_bench" => {
|
||||
let dataset_path = suite_map
|
||||
.get("dataset_path")
|
||||
.and_then(|v| v.as_str())
|
||||
.map(|s| s.to_string())
|
||||
.ok_or_else(|| {
|
||||
BenchError::Config(
|
||||
"suite_config.dataset_path is required for 'swe_bench' suite".to_string(),
|
||||
)
|
||||
})?;
|
||||
let workspace_dir = suite_map
|
||||
.get("workspace_dir")
|
||||
.and_then(|v| v.as_str())
|
||||
.unwrap_or("/tmp/swe-bench")
|
||||
.to_string();
|
||||
let use_docker = suite_map
|
||||
.get("use_docker")
|
||||
.and_then(|v| v.as_bool())
|
||||
.unwrap_or(false);
|
||||
Ok(Box::new(swe_bench::SweBenchSuite::new(
|
||||
dataset_path,
|
||||
workspace_dir,
|
||||
use_docker,
|
||||
)))
|
||||
}
|
||||
_ => {
|
||||
let available = KNOWN_SUITES
|
||||
.iter()
|
||||
.map(|(id, _)| *id)
|
||||
.collect::<Vec<_>>()
|
||||
.join(", ");
|
||||
Err(BenchError::SuiteNotFound {
|
||||
name: name.to_string(),
|
||||
available,
|
||||
})
|
||||
}
|
||||
}
|
||||
}
|
||||
@@ -0,0 +1,504 @@
|
||||
use std::collections::HashSet;
|
||||
use std::io::BufRead;
|
||||
use std::path::PathBuf;
|
||||
use std::sync::Arc;
|
||||
|
||||
use async_trait::async_trait;
|
||||
use regex::Regex;
|
||||
use serde::{Deserialize, Serialize};
|
||||
|
||||
use crate::error::BenchError;
|
||||
use crate::suite::{BenchScore, BenchSuite, BenchTask, TaskSubmission};
|
||||
|
||||
/// Multi-criterion assertions for a spot check scenario.
|
||||
///
|
||||
/// Each field generates one or more individual checks. The final score is
|
||||
/// `passed_checks / total_checks`, giving a value between 0.0 and 1.0.
|
||||
#[derive(Debug, Clone, Default, Serialize, Deserialize)]
|
||||
pub struct SpotAssertions {
|
||||
/// All must appear in the response (case-insensitive).
|
||||
#[serde(default)]
|
||||
pub response_contains: Vec<String>,
|
||||
|
||||
/// None may appear in the response (case-insensitive).
|
||||
#[serde(default)]
|
||||
pub response_not_contains: Vec<String>,
|
||||
|
||||
/// Each tool name must appear in the tool_calls list (checked by name,
|
||||
/// not by count; duplicates in tool_calls are collapsed).
|
||||
#[serde(default)]
|
||||
pub tools_used: Vec<String>,
|
||||
|
||||
/// None of these tool names may appear in the tool_calls list.
|
||||
#[serde(default)]
|
||||
pub tools_not_used: Vec<String>,
|
||||
|
||||
/// Regex pattern the response must match.
|
||||
#[serde(default)]
|
||||
pub response_matches: Option<String>,
|
||||
|
||||
/// Hard fail if the task produced an error.
|
||||
#[serde(default)]
|
||||
pub no_error: bool,
|
||||
|
||||
/// Minimum number of tool calls expected (counts duplicates).
|
||||
#[serde(default)]
|
||||
pub min_tool_calls: Option<usize>,
|
||||
|
||||
/// Maximum number of tool calls allowed (counts duplicates).
|
||||
#[serde(default)]
|
||||
pub max_tool_calls: Option<usize>,
|
||||
}
|
||||
|
||||
impl SpotAssertions {
|
||||
/// Evaluate all assertions against a submission, returning (score, failure_details).
|
||||
pub fn evaluate(&self, submission: &TaskSubmission) -> (f64, Vec<String>) {
|
||||
let mut passed: usize = 0;
|
||||
let mut total: usize = 0;
|
||||
let mut failures: Vec<String> = Vec::new();
|
||||
|
||||
// Hard fail: error check
|
||||
if self.no_error {
|
||||
total += 1;
|
||||
if let Some(ref err) = submission.error {
|
||||
failures.push(format!("no_error: task errored with: {err}"));
|
||||
// Hard fail: return 0.0 immediately
|
||||
return (0.0, failures);
|
||||
}
|
||||
passed += 1;
|
||||
}
|
||||
|
||||
let response_lower = submission.response.to_lowercase();
|
||||
|
||||
// response_contains: all must appear
|
||||
for needle in &self.response_contains {
|
||||
total += 1;
|
||||
if response_lower.contains(&needle.to_lowercase()) {
|
||||
passed += 1;
|
||||
} else {
|
||||
failures.push(format!("response_contains: missing \"{needle}\""));
|
||||
}
|
||||
}
|
||||
|
||||
// response_not_contains: none may appear
|
||||
for needle in &self.response_not_contains {
|
||||
total += 1;
|
||||
if response_lower.contains(&needle.to_lowercase()) {
|
||||
failures.push(format!("response_not_contains: found \"{needle}\""));
|
||||
} else {
|
||||
passed += 1;
|
||||
}
|
||||
}
|
||||
|
||||
let tool_set: HashSet<&str> = submission.tool_calls.iter().map(|s| s.as_str()).collect();
|
||||
|
||||
// tools_used: each must appear
|
||||
for tool in &self.tools_used {
|
||||
total += 1;
|
||||
if tool_set.contains(tool.as_str()) {
|
||||
passed += 1;
|
||||
} else {
|
||||
failures.push(format!("tools_used: \"{tool}\" not called"));
|
||||
}
|
||||
}
|
||||
|
||||
// tools_not_used: none may appear
|
||||
for tool in &self.tools_not_used {
|
||||
total += 1;
|
||||
if tool_set.contains(tool.as_str()) {
|
||||
failures.push(format!("tools_not_used: \"{tool}\" was called"));
|
||||
} else {
|
||||
passed += 1;
|
||||
}
|
||||
}
|
||||
|
||||
// response_matches: regex pattern
|
||||
if let Some(ref pattern) = self.response_matches {
|
||||
total += 1;
|
||||
match Regex::new(pattern) {
|
||||
Ok(re) => {
|
||||
if re.is_match(&submission.response) {
|
||||
passed += 1;
|
||||
} else {
|
||||
failures.push(format!("response_matches: /{pattern}/ did not match"));
|
||||
}
|
||||
}
|
||||
Err(e) => {
|
||||
failures.push(format!("response_matches: bad regex: {e}"));
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
let call_count = submission.tool_calls.len();
|
||||
|
||||
// min_tool_calls
|
||||
if let Some(min) = self.min_tool_calls {
|
||||
total += 1;
|
||||
if call_count >= min {
|
||||
passed += 1;
|
||||
} else {
|
||||
failures.push(format!(
|
||||
"min_tool_calls: expected >= {min}, got {call_count}"
|
||||
));
|
||||
}
|
||||
}
|
||||
|
||||
// max_tool_calls
|
||||
if let Some(max) = self.max_tool_calls {
|
||||
total += 1;
|
||||
if call_count <= max {
|
||||
passed += 1;
|
||||
} else {
|
||||
failures.push(format!(
|
||||
"max_tool_calls: expected <= {max}, got {call_count}"
|
||||
));
|
||||
}
|
||||
}
|
||||
|
||||
if total == 0 {
|
||||
return (1.0, failures);
|
||||
}
|
||||
|
||||
let score = passed as f64 / total as f64;
|
||||
(score, failures)
|
||||
}
|
||||
}
|
||||
|
||||
/// JSONL entry for a spot check scenario.
|
||||
#[derive(Debug, Deserialize)]
|
||||
struct SpotEntry {
|
||||
id: String,
|
||||
prompt: String,
|
||||
#[serde(default)]
|
||||
context: Option<String>,
|
||||
#[serde(default)]
|
||||
tags: Vec<String>,
|
||||
#[serde(default)]
|
||||
assertions: SpotAssertions,
|
||||
}
|
||||
|
||||
/// Spot benchmark suite: end-to-end checks for real user workflows.
|
||||
///
|
||||
/// Tests conversation, individual tool use, multi-tool chaining, and robustness.
|
||||
/// Each task declares multi-criterion assertions scored as passed/total.
|
||||
pub struct SpotSuite {
|
||||
dataset_path: PathBuf,
|
||||
}
|
||||
|
||||
impl SpotSuite {
|
||||
pub fn new(dataset_path: impl Into<PathBuf>) -> Self {
|
||||
Self {
|
||||
dataset_path: dataset_path.into(),
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
#[async_trait]
|
||||
impl BenchSuite for SpotSuite {
|
||||
fn name(&self) -> &str {
|
||||
"Spot Checks"
|
||||
}
|
||||
|
||||
fn id(&self) -> &str {
|
||||
"spot"
|
||||
}
|
||||
|
||||
async fn load_tasks(&self) -> Result<Vec<BenchTask>, BenchError> {
|
||||
let file = std::fs::File::open(&self.dataset_path).map_err(BenchError::Io)?;
|
||||
let reader = std::io::BufReader::new(file);
|
||||
let mut tasks = Vec::new();
|
||||
|
||||
for (line_num, line) in reader.lines().enumerate() {
|
||||
let line = line?;
|
||||
let trimmed = line.trim();
|
||||
if trimmed.is_empty() {
|
||||
continue;
|
||||
}
|
||||
let entry: SpotEntry = serde_json::from_str(trimmed)
|
||||
.map_err(|e| BenchError::Config(format!("spot line {}: {}", line_num + 1, e)))?;
|
||||
|
||||
let metadata = serde_json::json!({
|
||||
"assertions": serde_json::to_value(&entry.assertions)
|
||||
.map_err(|e| BenchError::Config(format!("spot {}: {}", entry.id, e)))?,
|
||||
});
|
||||
|
||||
tasks.push(BenchTask {
|
||||
id: entry.id,
|
||||
prompt: entry.prompt,
|
||||
context: entry.context,
|
||||
resources: vec![],
|
||||
tags: entry.tags,
|
||||
expected_turns: None,
|
||||
timeout: None,
|
||||
metadata,
|
||||
});
|
||||
}
|
||||
|
||||
Ok(tasks)
|
||||
}
|
||||
|
||||
async fn score(
|
||||
&self,
|
||||
task: &BenchTask,
|
||||
submission: &TaskSubmission,
|
||||
) -> Result<BenchScore, BenchError> {
|
||||
let assertions: SpotAssertions = task
|
||||
.metadata
|
||||
.get("assertions")
|
||||
.ok_or_else(|| BenchError::Scoring {
|
||||
task_id: task.id.clone(),
|
||||
reason: "missing assertions in metadata".to_string(),
|
||||
})
|
||||
.and_then(|v| {
|
||||
serde_json::from_value(v.clone()).map_err(|e| BenchError::Scoring {
|
||||
task_id: task.id.clone(),
|
||||
reason: format!("bad assertions: {e}"),
|
||||
})
|
||||
})?;
|
||||
|
||||
let (score, failures) = assertions.evaluate(submission);
|
||||
|
||||
if score >= 1.0 {
|
||||
Ok(BenchScore::pass())
|
||||
} else if score <= 0.0 {
|
||||
Ok(BenchScore::fail(failures.join("; ")))
|
||||
} else {
|
||||
Ok(BenchScore::partial(score, failures.join("; ")))
|
||||
}
|
||||
}
|
||||
|
||||
fn additional_tools(&self) -> Vec<Arc<dyn ironclaw::tools::Tool>> {
|
||||
vec![
|
||||
Arc::new(ironclaw::tools::builtin::ShellTool::new()),
|
||||
Arc::new(ironclaw::tools::builtin::ReadFileTool::new()),
|
||||
Arc::new(ironclaw::tools::builtin::WriteFileTool::new()),
|
||||
Arc::new(ironclaw::tools::builtin::ListDirTool::new()),
|
||||
Arc::new(ironclaw::tools::builtin::ApplyPatchTool::new()),
|
||||
]
|
||||
}
|
||||
}
|
||||
|
||||
#[cfg(test)]
|
||||
mod tests {
|
||||
use super::*;
|
||||
use std::io::Write;
|
||||
|
||||
fn make_submission(
|
||||
response: &str,
|
||||
tool_calls: Vec<&str>,
|
||||
error: Option<&str>,
|
||||
) -> TaskSubmission {
|
||||
TaskSubmission {
|
||||
response: response.to_string(),
|
||||
conversation: vec![],
|
||||
tool_calls: tool_calls.into_iter().map(|s| s.to_string()).collect(),
|
||||
error: error.map(|s| s.to_string()),
|
||||
}
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_all_pass() {
|
||||
let assertions = SpotAssertions {
|
||||
response_contains: vec!["hello".to_string()],
|
||||
tools_used: vec!["echo".to_string()],
|
||||
no_error: true,
|
||||
..Default::default()
|
||||
};
|
||||
let sub = make_submission("Hello, world!", vec!["echo"], None);
|
||||
let (score, failures) = assertions.evaluate(&sub);
|
||||
assert_eq!(score, 1.0);
|
||||
assert!(failures.is_empty());
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_hard_fail_on_error() {
|
||||
let assertions = SpotAssertions {
|
||||
no_error: true,
|
||||
response_contains: vec!["hello".to_string()],
|
||||
..Default::default()
|
||||
};
|
||||
let sub = make_submission("Hello!", vec![], Some("timeout after 60s"));
|
||||
let (score, failures) = assertions.evaluate(&sub);
|
||||
assert_eq!(score, 0.0);
|
||||
assert!(failures[0].contains("no_error"));
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_partial_score() {
|
||||
let assertions = SpotAssertions {
|
||||
response_contains: vec!["alpha".to_string(), "beta".to_string()],
|
||||
..Default::default()
|
||||
};
|
||||
let sub = make_submission("alpha is here but not the other", vec![], None);
|
||||
let (score, failures) = assertions.evaluate(&sub);
|
||||
assert_eq!(score, 0.5);
|
||||
assert_eq!(failures.len(), 1);
|
||||
assert!(failures[0].contains("beta"));
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_response_not_contains() {
|
||||
let assertions = SpotAssertions {
|
||||
response_not_contains: vec!["error".to_string(), "fail".to_string()],
|
||||
..Default::default()
|
||||
};
|
||||
let sub = make_submission("This is an error message", vec![], None);
|
||||
let (score, failures) = assertions.evaluate(&sub);
|
||||
assert_eq!(score, 0.5);
|
||||
assert_eq!(failures.len(), 1);
|
||||
assert!(failures[0].contains("error"));
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_tools_used_and_not_used() {
|
||||
let assertions = SpotAssertions {
|
||||
tools_used: vec!["time".to_string()],
|
||||
tools_not_used: vec!["shell".to_string(), "echo".to_string()],
|
||||
..Default::default()
|
||||
};
|
||||
let sub = make_submission("The time is now", vec!["time"], None);
|
||||
let (score, failures) = assertions.evaluate(&sub);
|
||||
assert_eq!(score, 1.0);
|
||||
assert!(failures.is_empty());
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_tools_not_used_fails() {
|
||||
let assertions = SpotAssertions {
|
||||
tools_not_used: vec!["shell".to_string()],
|
||||
..Default::default()
|
||||
};
|
||||
let sub = make_submission("result", vec!["shell", "time"], None);
|
||||
let (score, _) = assertions.evaluate(&sub);
|
||||
assert_eq!(score, 0.0);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_response_matches_regex() {
|
||||
let assertions = SpotAssertions {
|
||||
response_matches: Some(r"\d{4}".to_string()),
|
||||
..Default::default()
|
||||
};
|
||||
let sub = make_submission("The year is 2026", vec![], None);
|
||||
let (score, failures) = assertions.evaluate(&sub);
|
||||
assert_eq!(score, 1.0);
|
||||
assert!(failures.is_empty());
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_response_matches_regex_fail() {
|
||||
let assertions = SpotAssertions {
|
||||
response_matches: Some(r"^\d+$".to_string()),
|
||||
..Default::default()
|
||||
};
|
||||
let sub = make_submission("not a number", vec![], None);
|
||||
let (score, _) = assertions.evaluate(&sub);
|
||||
assert_eq!(score, 0.0);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_min_max_tool_calls() {
|
||||
let assertions = SpotAssertions {
|
||||
min_tool_calls: Some(2),
|
||||
max_tool_calls: Some(4),
|
||||
..Default::default()
|
||||
};
|
||||
|
||||
// Within range
|
||||
let sub = make_submission("ok", vec!["a", "b", "c"], None);
|
||||
let (score, _) = assertions.evaluate(&sub);
|
||||
assert_eq!(score, 1.0);
|
||||
|
||||
// Too few
|
||||
let sub = make_submission("ok", vec!["a"], None);
|
||||
let (score, failures) = assertions.evaluate(&sub);
|
||||
assert_eq!(score, 0.5);
|
||||
assert!(failures[0].contains("min_tool_calls"));
|
||||
|
||||
// Too many
|
||||
let sub = make_submission("ok", vec!["a", "b", "c", "d", "e"], None);
|
||||
let (score, failures) = assertions.evaluate(&sub);
|
||||
assert_eq!(score, 0.5);
|
||||
assert!(failures[0].contains("max_tool_calls"));
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_max_zero_tool_calls() {
|
||||
let assertions = SpotAssertions {
|
||||
max_tool_calls: Some(0),
|
||||
..Default::default()
|
||||
};
|
||||
let sub = make_submission("just talking", vec![], None);
|
||||
let (score, _) = assertions.evaluate(&sub);
|
||||
assert_eq!(score, 1.0);
|
||||
|
||||
let sub = make_submission("oops", vec!["echo"], None);
|
||||
let (score, _) = assertions.evaluate(&sub);
|
||||
assert_eq!(score, 0.0);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_empty_assertions() {
|
||||
let assertions = SpotAssertions::default();
|
||||
let sub = make_submission("anything", vec!["whatever"], None);
|
||||
let (score, _) = assertions.evaluate(&sub);
|
||||
assert_eq!(score, 1.0);
|
||||
}
|
||||
|
||||
#[tokio::test]
|
||||
async fn test_spot_load_tasks() {
|
||||
let dir = tempfile::tempdir().unwrap();
|
||||
let path = dir.path().join("spot.jsonl");
|
||||
let mut file = std::fs::File::create(&path).unwrap();
|
||||
writeln!(
|
||||
file,
|
||||
r#"{{"id": "s1", "prompt": "Hello", "tags": ["smoke"], "assertions": {{"response_contains": ["hello"], "no_error": true}}}}"#
|
||||
)
|
||||
.unwrap();
|
||||
writeln!(
|
||||
file,
|
||||
r#"{{"id": "s2", "prompt": "Echo test", "assertions": {{"tools_used": ["echo"]}}}}"#
|
||||
)
|
||||
.unwrap();
|
||||
|
||||
let suite = SpotSuite::new(&path);
|
||||
let tasks = suite.load_tasks().await.unwrap();
|
||||
assert_eq!(tasks.len(), 2);
|
||||
assert_eq!(tasks[0].id, "s1");
|
||||
assert_eq!(tasks[1].id, "s2");
|
||||
assert!(tasks[0].tags.contains(&"smoke".to_string()));
|
||||
}
|
||||
|
||||
#[tokio::test]
|
||||
async fn test_spot_scoring() {
|
||||
let dir = tempfile::tempdir().unwrap();
|
||||
let path = dir.path().join("spot.jsonl");
|
||||
let mut file = std::fs::File::create(&path).unwrap();
|
||||
writeln!(
|
||||
file,
|
||||
r#"{{"id": "s1", "prompt": "Hello", "assertions": {{"response_contains": ["hello", "world"], "no_error": true}}}}"#
|
||||
)
|
||||
.unwrap();
|
||||
|
||||
let suite = SpotSuite::new(&path);
|
||||
let tasks = suite.load_tasks().await.unwrap();
|
||||
|
||||
// Full pass
|
||||
let sub = make_submission("Hello World!", vec![], None);
|
||||
let score = suite.score(&tasks[0], &sub).await.unwrap();
|
||||
assert_eq!(score.value, 1.0);
|
||||
assert_eq!(score.label, "pass");
|
||||
|
||||
// Partial
|
||||
let sub = make_submission("Hello there", vec![], None);
|
||||
let score = suite.score(&tasks[0], &sub).await.unwrap();
|
||||
assert!(score.value > 0.0 && score.value < 1.0);
|
||||
assert_eq!(score.label, "partial");
|
||||
|
||||
// Error hard fail
|
||||
let sub = make_submission("Hello World!", vec![], Some("boom"));
|
||||
let score = suite.score(&tasks[0], &sub).await.unwrap();
|
||||
assert_eq!(score.value, 0.0);
|
||||
assert_eq!(score.label, "fail");
|
||||
}
|
||||
}
|
||||
@@ -0,0 +1,416 @@
|
||||
use std::io::BufRead;
|
||||
use std::path::PathBuf;
|
||||
|
||||
use async_trait::async_trait;
|
||||
use regex::Regex;
|
||||
use serde::Deserialize;
|
||||
|
||||
use crate::error::BenchError;
|
||||
use crate::suite::{BenchScore, BenchSuite, BenchTask, TaskSubmission};
|
||||
|
||||
/// Validate that a string is safe for use as a filesystem path component.
|
||||
/// Allows alphanumerics, hyphens, underscores, dots, and forward slashes (for nested paths).
|
||||
/// Rejects absolute paths, `..` traversal, and shell metacharacters.
|
||||
fn is_safe_path_component(s: &str) -> bool {
|
||||
!s.is_empty()
|
||||
&& !s.starts_with('/')
|
||||
&& !s.contains("..")
|
||||
&& s.chars()
|
||||
.all(|c| c.is_ascii_alphanumeric() || matches!(c, '-' | '_' | '.' | '/'))
|
||||
}
|
||||
|
||||
/// Validate that a repo string matches the expected `owner/repo` GitHub format.
|
||||
fn is_valid_github_repo(repo: &str) -> bool {
|
||||
// Match "owner/repo" where both parts are alphanumeric with hyphens/underscores/dots
|
||||
static REPO_PATTERN: std::sync::LazyLock<Regex> =
|
||||
std::sync::LazyLock::new(|| Regex::new(r"^[a-zA-Z0-9._-]+/[a-zA-Z0-9._-]+$").unwrap());
|
||||
REPO_PATTERN.is_match(repo)
|
||||
}
|
||||
|
||||
/// Validate that a string looks like a git ref (hex SHA or valid ref name).
|
||||
fn is_valid_git_ref(s: &str) -> bool {
|
||||
!s.is_empty()
|
||||
&& s.chars()
|
||||
.all(|c| c.is_ascii_alphanumeric() || matches!(c, '-' | '_' | '.' | '/'))
|
||||
&& !s.contains("..")
|
||||
}
|
||||
|
||||
/// SWE-bench dataset entry.
|
||||
#[derive(Debug, Deserialize)]
|
||||
struct SweBenchEntry {
|
||||
instance_id: String,
|
||||
repo: String,
|
||||
base_commit: String,
|
||||
#[serde(default)]
|
||||
problem_statement: String,
|
||||
#[serde(default)]
|
||||
hints_text: Option<String>,
|
||||
#[serde(default)]
|
||||
test_patch: Option<String>,
|
||||
#[serde(default)]
|
||||
patch: Option<String>,
|
||||
}
|
||||
|
||||
/// SWE-bench Pro: real-world software engineering tasks.
|
||||
///
|
||||
/// Each task clones a repo at a specific commit, presents the problem statement,
|
||||
/// and expects the agent to produce a patch. Scoring runs the test suite.
|
||||
pub struct SweBenchSuite {
|
||||
dataset_path: PathBuf,
|
||||
workspace_dir: PathBuf,
|
||||
use_docker: bool,
|
||||
}
|
||||
|
||||
impl SweBenchSuite {
|
||||
pub fn new(
|
||||
dataset_path: impl Into<PathBuf>,
|
||||
workspace_dir: impl Into<PathBuf>,
|
||||
use_docker: bool,
|
||||
) -> Self {
|
||||
Self {
|
||||
dataset_path: dataset_path.into(),
|
||||
workspace_dir: workspace_dir.into(),
|
||||
use_docker,
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
#[async_trait]
|
||||
impl BenchSuite for SweBenchSuite {
|
||||
fn name(&self) -> &str {
|
||||
"SWE-bench Pro"
|
||||
}
|
||||
|
||||
fn id(&self) -> &str {
|
||||
"swe_bench"
|
||||
}
|
||||
|
||||
async fn load_tasks(&self) -> Result<Vec<BenchTask>, BenchError> {
|
||||
let file = std::fs::File::open(&self.dataset_path)?;
|
||||
let reader = std::io::BufReader::new(file);
|
||||
let mut tasks = Vec::new();
|
||||
|
||||
for (line_num, line) in reader.lines().enumerate() {
|
||||
let line = line?;
|
||||
let trimmed = line.trim();
|
||||
if trimmed.is_empty() {
|
||||
continue;
|
||||
}
|
||||
let entry: SweBenchEntry = serde_json::from_str(trimmed).map_err(|e| {
|
||||
BenchError::Config(format!("swe_bench line {}: {}", line_num + 1, e))
|
||||
})?;
|
||||
|
||||
if !is_safe_path_component(&entry.instance_id) {
|
||||
return Err(BenchError::Config(format!(
|
||||
"swe_bench line {}: unsafe instance_id \"{}\"",
|
||||
line_num + 1,
|
||||
entry.instance_id,
|
||||
)));
|
||||
}
|
||||
if !is_valid_github_repo(&entry.repo) {
|
||||
return Err(BenchError::Config(format!(
|
||||
"swe_bench line {}: invalid repo format \"{}\"",
|
||||
line_num + 1,
|
||||
entry.repo,
|
||||
)));
|
||||
}
|
||||
if !is_valid_git_ref(&entry.base_commit) {
|
||||
return Err(BenchError::Config(format!(
|
||||
"swe_bench line {}: invalid base_commit \"{}\"",
|
||||
line_num + 1,
|
||||
entry.base_commit,
|
||||
)));
|
||||
}
|
||||
|
||||
let metadata = serde_json::json!({
|
||||
"repo": entry.repo,
|
||||
"base_commit": entry.base_commit,
|
||||
"test_patch": entry.test_patch,
|
||||
"gold_patch": entry.patch,
|
||||
"use_docker": self.use_docker,
|
||||
"workspace_dir": self.workspace_dir.to_string_lossy(),
|
||||
});
|
||||
|
||||
let prompt = if let Some(ref hints) = entry.hints_text {
|
||||
format!("{}\n\nHints:\n{}", entry.problem_statement, hints)
|
||||
} else {
|
||||
entry.problem_statement
|
||||
};
|
||||
|
||||
tasks.push(BenchTask {
|
||||
id: entry.instance_id,
|
||||
prompt,
|
||||
context: Some(format!(
|
||||
"Repository: {}, Commit: {}",
|
||||
entry.repo, entry.base_commit
|
||||
)),
|
||||
resources: vec![],
|
||||
tags: vec![format!("repo-{}", entry.repo.replace('/', "-"))],
|
||||
expected_turns: None,
|
||||
timeout: None,
|
||||
metadata,
|
||||
});
|
||||
}
|
||||
|
||||
Ok(tasks)
|
||||
}
|
||||
|
||||
async fn setup_task(&self, task: &BenchTask) -> Result<(), BenchError> {
|
||||
let repo = task
|
||||
.metadata
|
||||
.get("repo")
|
||||
.and_then(|v| v.as_str())
|
||||
.ok_or_else(|| BenchError::TaskFailed {
|
||||
task_id: task.id.clone(),
|
||||
reason: "missing repo in metadata".to_string(),
|
||||
})?;
|
||||
let base_commit = task
|
||||
.metadata
|
||||
.get("base_commit")
|
||||
.and_then(|v| v.as_str())
|
||||
.ok_or_else(|| BenchError::TaskFailed {
|
||||
task_id: task.id.clone(),
|
||||
reason: "missing base_commit in metadata".to_string(),
|
||||
})?;
|
||||
|
||||
let task_dir = self.workspace_dir.join(&task.id);
|
||||
|
||||
// Clone repo if not already present
|
||||
if !task_dir.exists() {
|
||||
let repo_url = format!("https://github.com/{}.git", repo);
|
||||
let output = tokio::process::Command::new("git")
|
||||
.args([
|
||||
"clone",
|
||||
"--depth",
|
||||
"1",
|
||||
&repo_url,
|
||||
&task_dir.to_string_lossy(),
|
||||
])
|
||||
.output()
|
||||
.await
|
||||
.map_err(|e| BenchError::TaskFailed {
|
||||
task_id: task.id.clone(),
|
||||
reason: format!("git clone failed: {e}"),
|
||||
})?;
|
||||
|
||||
if !output.status.success() {
|
||||
let stderr = String::from_utf8_lossy(&output.stderr);
|
||||
return Err(BenchError::TaskFailed {
|
||||
task_id: task.id.clone(),
|
||||
reason: format!("git clone failed: {stderr}"),
|
||||
});
|
||||
}
|
||||
}
|
||||
|
||||
// Checkout the base commit
|
||||
let output = tokio::process::Command::new("git")
|
||||
.args(["checkout", base_commit])
|
||||
.current_dir(&task_dir)
|
||||
.output()
|
||||
.await
|
||||
.map_err(|e| BenchError::TaskFailed {
|
||||
task_id: task.id.clone(),
|
||||
reason: format!("git checkout failed: {e}"),
|
||||
})?;
|
||||
|
||||
if !output.status.success() {
|
||||
// Shallow clone might not have the commit; fetch more history
|
||||
let _ = tokio::process::Command::new("git")
|
||||
.args(["fetch", "--unshallow"])
|
||||
.current_dir(&task_dir)
|
||||
.output()
|
||||
.await;
|
||||
|
||||
let output = tokio::process::Command::new("git")
|
||||
.args(["checkout", base_commit])
|
||||
.current_dir(&task_dir)
|
||||
.output()
|
||||
.await
|
||||
.map_err(|e| BenchError::TaskFailed {
|
||||
task_id: task.id.clone(),
|
||||
reason: format!("git checkout retry failed: {e}"),
|
||||
})?;
|
||||
|
||||
if !output.status.success() {
|
||||
let stderr = String::from_utf8_lossy(&output.stderr);
|
||||
return Err(BenchError::TaskFailed {
|
||||
task_id: task.id.clone(),
|
||||
reason: format!("git checkout failed: {stderr}"),
|
||||
});
|
||||
}
|
||||
}
|
||||
|
||||
Ok(())
|
||||
}
|
||||
|
||||
async fn teardown_task(&self, task: &BenchTask) -> Result<(), BenchError> {
|
||||
let task_dir = self.workspace_dir.join(&task.id);
|
||||
if task_dir.exists() {
|
||||
// Reset any changes
|
||||
let _ = tokio::process::Command::new("git")
|
||||
.args(["checkout", "."])
|
||||
.current_dir(&task_dir)
|
||||
.output()
|
||||
.await;
|
||||
let _ = tokio::process::Command::new("git")
|
||||
.args(["clean", "-fdx"])
|
||||
.current_dir(&task_dir)
|
||||
.output()
|
||||
.await;
|
||||
}
|
||||
Ok(())
|
||||
}
|
||||
|
||||
async fn score(
|
||||
&self,
|
||||
task: &BenchTask,
|
||||
submission: &TaskSubmission,
|
||||
) -> Result<BenchScore, BenchError> {
|
||||
// For SWE-bench, scoring requires running the test patch against the agent's changes.
|
||||
// This is a simplified version that checks if the agent produced any code changes.
|
||||
|
||||
let test_patch = task.metadata.get("test_patch").and_then(|v| v.as_str());
|
||||
|
||||
if submission.response.is_empty() {
|
||||
return Ok(BenchScore::fail("no response from agent"));
|
||||
}
|
||||
|
||||
// If we have a test patch, try to verify the submission
|
||||
if let Some(_test_patch) = test_patch {
|
||||
// TODO: Apply agent's patch, then apply test patch, then run tests.
|
||||
// For now, give partial credit if the agent produced some output.
|
||||
tracing::warn!(
|
||||
task_id = %task.id,
|
||||
"SWE-bench test execution not implemented, returning placeholder 0.25"
|
||||
);
|
||||
Ok(BenchScore::partial(
|
||||
0.25,
|
||||
"test execution not yet implemented; partial credit for response",
|
||||
))
|
||||
} else {
|
||||
tracing::warn!(
|
||||
task_id = %task.id,
|
||||
"no test_patch available, returning placeholder 0.25"
|
||||
);
|
||||
Ok(BenchScore::partial(
|
||||
0.25,
|
||||
"no test_patch available for automated scoring",
|
||||
))
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
#[cfg(test)]
|
||||
mod tests {
|
||||
use super::*;
|
||||
use std::io::Write;
|
||||
|
||||
#[tokio::test]
|
||||
async fn test_swe_bench_load() {
|
||||
let dir = tempfile::tempdir().unwrap();
|
||||
let path = dir.path().join("swe.jsonl");
|
||||
let mut file = std::fs::File::create(&path).unwrap();
|
||||
writeln!(
|
||||
file,
|
||||
r#"{{"instance_id": "django__django-12345", "repo": "django/django", "base_commit": "abc123", "problem_statement": "Fix the ORM bug"}}"#
|
||||
)
|
||||
.unwrap();
|
||||
|
||||
let suite = SweBenchSuite::new(&path, "/tmp/swe-test", false);
|
||||
let tasks = suite.load_tasks().await.unwrap();
|
||||
assert_eq!(tasks.len(), 1);
|
||||
assert_eq!(tasks[0].id, "django__django-12345");
|
||||
assert!(tasks[0].tags.contains(&"repo-django-django".to_string()));
|
||||
}
|
||||
|
||||
#[tokio::test]
|
||||
async fn test_swe_bench_scoring_no_response() {
|
||||
let dir = tempfile::tempdir().unwrap();
|
||||
let path = dir.path().join("swe.jsonl");
|
||||
let mut file = std::fs::File::create(&path).unwrap();
|
||||
writeln!(
|
||||
file,
|
||||
r#"{{"instance_id": "s1", "repo": "org/repo", "base_commit": "abc", "problem_statement": "Fix bug"}}"#
|
||||
)
|
||||
.unwrap();
|
||||
|
||||
let suite = SweBenchSuite::new(&path, "/tmp/swe-test", false);
|
||||
let tasks = suite.load_tasks().await.unwrap();
|
||||
|
||||
let submission = TaskSubmission {
|
||||
response: String::new(),
|
||||
conversation: vec![],
|
||||
tool_calls: vec![],
|
||||
error: None,
|
||||
};
|
||||
let score = suite.score(&tasks[0], &submission).await.unwrap();
|
||||
assert_eq!(score.value, 0.0);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_is_safe_path_component() {
|
||||
assert!(is_safe_path_component("django__django-12345"));
|
||||
assert!(is_safe_path_component("org/repo"));
|
||||
assert!(is_safe_path_component("abc123"));
|
||||
assert!(!is_safe_path_component(""));
|
||||
assert!(!is_safe_path_component("../../etc/passwd"));
|
||||
assert!(!is_safe_path_component("/etc/passwd"));
|
||||
assert!(!is_safe_path_component("foo;rm -rf /"));
|
||||
assert!(!is_safe_path_component("foo bar"));
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_is_valid_github_repo() {
|
||||
assert!(is_valid_github_repo("django/django"));
|
||||
assert!(is_valid_github_repo("org/repo-name"));
|
||||
assert!(is_valid_github_repo("Org.Name/Repo_v2"));
|
||||
assert!(!is_valid_github_repo(""));
|
||||
assert!(!is_valid_github_repo("no-slash"));
|
||||
assert!(!is_valid_github_repo("too/many/slashes"));
|
||||
assert!(!is_valid_github_repo("spa ce/repo"));
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_is_valid_git_ref() {
|
||||
assert!(is_valid_git_ref("abc123"));
|
||||
assert!(is_valid_git_ref("deadbeef0123456789abcdef0123456789abcdef"));
|
||||
assert!(is_valid_git_ref("v1.2.3"));
|
||||
assert!(is_valid_git_ref("main"));
|
||||
assert!(!is_valid_git_ref(""));
|
||||
assert!(!is_valid_git_ref("bad..ref"));
|
||||
assert!(!is_valid_git_ref("has space"));
|
||||
assert!(!is_valid_git_ref("semi;colon"));
|
||||
}
|
||||
|
||||
#[tokio::test]
|
||||
async fn test_swe_bench_rejects_path_traversal() {
|
||||
let dir = tempfile::tempdir().unwrap();
|
||||
let path = dir.path().join("swe.jsonl");
|
||||
let mut file = std::fs::File::create(&path).unwrap();
|
||||
writeln!(
|
||||
file,
|
||||
r#"{{"instance_id": "../../etc/passwd", "repo": "org/repo", "base_commit": "abc", "problem_statement": "evil"}}"#
|
||||
)
|
||||
.unwrap();
|
||||
|
||||
let suite = SweBenchSuite::new(&path, "/tmp/swe-test", false);
|
||||
let err = suite.load_tasks().await.unwrap_err();
|
||||
assert!(err.to_string().contains("unsafe instance_id"));
|
||||
}
|
||||
|
||||
#[tokio::test]
|
||||
async fn test_swe_bench_rejects_bad_repo() {
|
||||
let dir = tempfile::tempdir().unwrap();
|
||||
let path = dir.path().join("swe.jsonl");
|
||||
let mut file = std::fs::File::create(&path).unwrap();
|
||||
writeln!(
|
||||
file,
|
||||
r#"{{"instance_id": "task1", "repo": "not-a-repo-format", "base_commit": "abc", "problem_statement": "bad"}}"#
|
||||
)
|
||||
.unwrap();
|
||||
|
||||
let suite = SweBenchSuite::new(&path, "/tmp/swe-test", false);
|
||||
let err = suite.load_tasks().await.unwrap_err();
|
||||
assert!(err.to_string().contains("invalid repo format"));
|
||||
}
|
||||
}
|
||||
@@ -0,0 +1,233 @@
|
||||
use std::io::BufRead;
|
||||
use std::path::PathBuf;
|
||||
|
||||
use async_trait::async_trait;
|
||||
use serde::Deserialize;
|
||||
|
||||
use crate::error::BenchError;
|
||||
use crate::suite::{BenchScore, BenchSuite, BenchTask, ConversationTurn, TaskSubmission};
|
||||
|
||||
/// Tau-bench task entry.
|
||||
#[derive(Debug, Deserialize)]
|
||||
struct TauBenchEntry {
|
||||
id: String,
|
||||
#[serde(default)]
|
||||
domain: String,
|
||||
instruction: String,
|
||||
#[serde(default)]
|
||||
user_persona: Option<String>,
|
||||
#[serde(default)]
|
||||
expected_state: Option<serde_json::Value>,
|
||||
#[serde(default)]
|
||||
expected_actions: Vec<String>,
|
||||
#[serde(default)]
|
||||
max_turns: Option<usize>,
|
||||
}
|
||||
|
||||
/// Tau-bench: multi-turn tool-calling dialog benchmark.
|
||||
///
|
||||
/// Tests agent ability to handle customer service scenarios with simulated
|
||||
/// domain APIs (retail, airline). Scoring compares final state against expected.
|
||||
pub struct TauBenchSuite {
|
||||
dataset_path: PathBuf,
|
||||
domain: String,
|
||||
}
|
||||
|
||||
impl TauBenchSuite {
|
||||
pub fn new(dataset_path: impl Into<PathBuf>, domain: impl Into<String>) -> Self {
|
||||
Self {
|
||||
dataset_path: dataset_path.into(),
|
||||
domain: domain.into(),
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
#[async_trait]
|
||||
impl BenchSuite for TauBenchSuite {
|
||||
fn name(&self) -> &str {
|
||||
"Tau-bench"
|
||||
}
|
||||
|
||||
fn id(&self) -> &str {
|
||||
"tau_bench"
|
||||
}
|
||||
|
||||
async fn load_tasks(&self) -> Result<Vec<BenchTask>, BenchError> {
|
||||
let file = std::fs::File::open(&self.dataset_path)?;
|
||||
let reader = std::io::BufReader::new(file);
|
||||
let mut tasks = Vec::new();
|
||||
|
||||
for (line_num, line) in reader.lines().enumerate() {
|
||||
let line = line?;
|
||||
let trimmed = line.trim();
|
||||
if trimmed.is_empty() {
|
||||
continue;
|
||||
}
|
||||
let entry: TauBenchEntry = serde_json::from_str(trimmed).map_err(|e| {
|
||||
BenchError::Config(format!("tau_bench line {}: {}", line_num + 1, e))
|
||||
})?;
|
||||
|
||||
let domain = if entry.domain.is_empty() {
|
||||
self.domain.clone()
|
||||
} else {
|
||||
entry.domain.clone()
|
||||
};
|
||||
|
||||
let metadata = serde_json::json!({
|
||||
"domain": domain,
|
||||
"user_persona": entry.user_persona,
|
||||
"expected_state": entry.expected_state,
|
||||
"expected_actions": entry.expected_actions,
|
||||
});
|
||||
|
||||
tasks.push(BenchTask {
|
||||
id: entry.id,
|
||||
prompt: entry.instruction,
|
||||
context: entry.user_persona.clone(),
|
||||
resources: vec![],
|
||||
tags: vec![format!("domain-{domain}")],
|
||||
expected_turns: entry.max_turns,
|
||||
timeout: None,
|
||||
metadata,
|
||||
});
|
||||
}
|
||||
|
||||
Ok(tasks)
|
||||
}
|
||||
|
||||
async fn score(
|
||||
&self,
|
||||
task: &BenchTask,
|
||||
submission: &TaskSubmission,
|
||||
) -> Result<BenchScore, BenchError> {
|
||||
// Score based on expected actions completion
|
||||
let expected_actions: Vec<String> = task
|
||||
.metadata
|
||||
.get("expected_actions")
|
||||
.and_then(|v| serde_json::from_value(v.clone()).ok())
|
||||
.unwrap_or_default();
|
||||
|
||||
if expected_actions.is_empty() {
|
||||
// No expected actions defined; score based on whether agent responded
|
||||
if submission.response.is_empty() {
|
||||
return Ok(BenchScore::fail("no response"));
|
||||
}
|
||||
return Ok(BenchScore::partial(
|
||||
0.5,
|
||||
"no expected_actions to evaluate against",
|
||||
));
|
||||
}
|
||||
|
||||
// Check which expected actions were actually called
|
||||
let called: std::collections::HashSet<&str> =
|
||||
submission.tool_calls.iter().map(|s| s.as_str()).collect();
|
||||
let matched = expected_actions
|
||||
.iter()
|
||||
.filter(|a| called.contains(a.as_str()))
|
||||
.count();
|
||||
|
||||
let ratio = matched as f64 / expected_actions.len() as f64;
|
||||
if ratio >= 1.0 {
|
||||
Ok(BenchScore::pass())
|
||||
} else if ratio > 0.0 {
|
||||
Ok(BenchScore::partial(
|
||||
ratio,
|
||||
format!(
|
||||
"{}/{} expected actions completed",
|
||||
matched,
|
||||
expected_actions.len()
|
||||
),
|
||||
))
|
||||
} else {
|
||||
Ok(BenchScore::fail(format!(
|
||||
"0/{} expected actions completed",
|
||||
expected_actions.len()
|
||||
)))
|
||||
}
|
||||
}
|
||||
|
||||
async fn next_user_message(
|
||||
&self,
|
||||
task: &BenchTask,
|
||||
conversation: &[ConversationTurn],
|
||||
) -> Result<Option<String>, BenchError> {
|
||||
// Check if we've exceeded max turns
|
||||
if let Some(max) = task.expected_turns {
|
||||
let user_turns = conversation
|
||||
.iter()
|
||||
.filter(|t| matches!(t.role, crate::suite::TurnRole::User))
|
||||
.count();
|
||||
if user_turns >= max {
|
||||
return Ok(None);
|
||||
}
|
||||
}
|
||||
|
||||
// Multi-turn simulation requires an LLM to play the customer role.
|
||||
// Until that's implemented, every scenario is single-turn only.
|
||||
// TODO: Use LLM to simulate customer based on user_persona.
|
||||
tracing::warn!(
|
||||
task_id = %task.id,
|
||||
"multi-turn simulation not implemented, ending after first turn"
|
||||
);
|
||||
Ok(None)
|
||||
}
|
||||
}
|
||||
|
||||
#[cfg(test)]
|
||||
mod tests {
|
||||
use super::*;
|
||||
use std::io::Write;
|
||||
|
||||
#[tokio::test]
|
||||
async fn test_tau_bench_load() {
|
||||
let dir = tempfile::tempdir().unwrap();
|
||||
let path = dir.path().join("tau.jsonl");
|
||||
let mut file = std::fs::File::create(&path).unwrap();
|
||||
writeln!(
|
||||
file,
|
||||
r#"{{"id": "t1", "instruction": "Return my order", "expected_actions": ["lookup_order", "process_return"], "max_turns": 3}}"#
|
||||
)
|
||||
.unwrap();
|
||||
|
||||
let suite = TauBenchSuite::new(&path, "retail");
|
||||
let tasks = suite.load_tasks().await.unwrap();
|
||||
assert_eq!(tasks.len(), 1);
|
||||
assert_eq!(tasks[0].expected_turns, Some(3));
|
||||
}
|
||||
|
||||
#[tokio::test]
|
||||
async fn test_tau_bench_scoring() {
|
||||
let dir = tempfile::tempdir().unwrap();
|
||||
let path = dir.path().join("tau.jsonl");
|
||||
let mut file = std::fs::File::create(&path).unwrap();
|
||||
writeln!(
|
||||
file,
|
||||
r#"{{"id": "t1", "instruction": "Return order", "expected_actions": ["lookup_order", "process_return"]}}"#
|
||||
)
|
||||
.unwrap();
|
||||
|
||||
let suite = TauBenchSuite::new(&path, "retail");
|
||||
let tasks = suite.load_tasks().await.unwrap();
|
||||
|
||||
// Partial completion
|
||||
let submission = TaskSubmission {
|
||||
response: "I found your order.".to_string(),
|
||||
conversation: vec![],
|
||||
tool_calls: vec!["lookup_order".to_string()],
|
||||
error: None,
|
||||
};
|
||||
let score = suite.score(&tasks[0], &submission).await.unwrap();
|
||||
assert_eq!(score.value, 0.5);
|
||||
assert_eq!(score.label, "partial");
|
||||
|
||||
// Full completion
|
||||
let submission = TaskSubmission {
|
||||
response: "Return processed.".to_string(),
|
||||
conversation: vec![],
|
||||
tool_calls: vec!["lookup_order".to_string(), "process_return".to_string()],
|
||||
error: None,
|
||||
};
|
||||
let score = suite.score(&tasks[0], &submission).await.unwrap();
|
||||
assert_eq!(score.value, 1.0);
|
||||
}
|
||||
}
|
||||
@@ -0,0 +1,264 @@
|
||||
use std::sync::Arc;
|
||||
|
||||
use async_trait::async_trait;
|
||||
use tokio::sync::{Mutex, mpsc};
|
||||
use tokio_stream::wrappers::ReceiverStream;
|
||||
|
||||
use ironclaw::channels::{Channel, IncomingMessage, MessageStream, OutgoingResponse, StatusUpdate};
|
||||
use ironclaw::error::ChannelError;
|
||||
|
||||
use crate::results::TraceToolCall;
|
||||
use crate::suite::ConversationTurn;
|
||||
|
||||
/// Truncate a string to at most `max_bytes` without splitting a UTF-8 character.
|
||||
fn truncate_str(s: &str, max_bytes: usize) -> &str {
|
||||
if s.len() <= max_bytes {
|
||||
return s;
|
||||
}
|
||||
let mut end = max_bytes;
|
||||
while !s.is_char_boundary(end) {
|
||||
end -= 1;
|
||||
}
|
||||
&s[..end]
|
||||
}
|
||||
|
||||
/// Captured state from a benchmark channel run.
|
||||
#[derive(Debug, Default)]
|
||||
pub struct ChannelCapture {
|
||||
/// All responses the agent sent back.
|
||||
pub responses: Vec<String>,
|
||||
/// Tool calls observed (name, success, duration_ms).
|
||||
pub tool_calls: Vec<TraceToolCall>,
|
||||
/// Full conversation turns for multi-turn scoring.
|
||||
pub conversation: Vec<ConversationTurn>,
|
||||
/// Status messages (for debugging).
|
||||
pub status_log: Vec<String>,
|
||||
}
|
||||
|
||||
/// A headless Channel implementation for benchmarking.
|
||||
///
|
||||
/// Modeled after `ReplChannel`: uses mpsc to inject messages and captures
|
||||
/// all responses and tool status events. Auto-approves tool execution
|
||||
/// so benchmarks run without user interaction.
|
||||
pub struct BenchChannel {
|
||||
/// Sender to inject messages into the agent loop.
|
||||
msg_tx: mpsc::Sender<IncomingMessage>,
|
||||
/// Receiver the agent loop reads from (taken once by `start()`).
|
||||
msg_rx: Mutex<Option<mpsc::Receiver<IncomingMessage>>>,
|
||||
/// Accumulated capture data.
|
||||
capture: Arc<Mutex<ChannelCapture>>,
|
||||
}
|
||||
|
||||
impl BenchChannel {
|
||||
pub fn new() -> (Self, mpsc::Sender<IncomingMessage>) {
|
||||
let (tx, rx) = mpsc::channel(64);
|
||||
let channel = Self {
|
||||
msg_tx: tx.clone(),
|
||||
msg_rx: Mutex::new(Some(rx)),
|
||||
capture: Arc::new(Mutex::new(ChannelCapture::default())),
|
||||
};
|
||||
(channel, tx)
|
||||
}
|
||||
|
||||
/// Get a handle to the capture data.
|
||||
pub fn capture(&self) -> Arc<Mutex<ChannelCapture>> {
|
||||
Arc::clone(&self.capture)
|
||||
}
|
||||
|
||||
/// Get a clone of the message sender for injecting follow-up messages.
|
||||
pub fn sender(&self) -> mpsc::Sender<IncomingMessage> {
|
||||
self.msg_tx.clone()
|
||||
}
|
||||
}
|
||||
|
||||
#[async_trait]
|
||||
impl Channel for BenchChannel {
|
||||
fn name(&self) -> &str {
|
||||
"bench"
|
||||
}
|
||||
|
||||
async fn start(&self) -> Result<MessageStream, ChannelError> {
|
||||
let rx = self
|
||||
.msg_rx
|
||||
.lock()
|
||||
.await
|
||||
.take()
|
||||
.ok_or_else(|| ChannelError::StartupFailed {
|
||||
name: "bench".to_string(),
|
||||
reason: "start() already called".to_string(),
|
||||
})?;
|
||||
Ok(Box::pin(ReceiverStream::new(rx)))
|
||||
}
|
||||
|
||||
async fn respond(
|
||||
&self,
|
||||
_msg: &IncomingMessage,
|
||||
response: OutgoingResponse,
|
||||
) -> Result<(), ChannelError> {
|
||||
let mut cap = self.capture.lock().await;
|
||||
cap.responses.push(response.content.clone());
|
||||
cap.conversation.push(ConversationTurn {
|
||||
role: crate::suite::TurnRole::Assistant,
|
||||
content: response.content,
|
||||
});
|
||||
Ok(())
|
||||
}
|
||||
|
||||
async fn send_status(
|
||||
&self,
|
||||
status: StatusUpdate,
|
||||
_metadata: &serde_json::Value,
|
||||
) -> Result<(), ChannelError> {
|
||||
let mut cap = self.capture.lock().await;
|
||||
|
||||
match status {
|
||||
StatusUpdate::ToolCompleted { ref name, success } => {
|
||||
cap.tool_calls.push(TraceToolCall {
|
||||
name: name.clone(),
|
||||
duration_ms: 0, // We don't have precise per-tool timing here
|
||||
success,
|
||||
});
|
||||
cap.status_log
|
||||
.push(format!("tool_completed: {name} success={success}"));
|
||||
}
|
||||
StatusUpdate::ApprovalNeeded { ref request_id, .. } => {
|
||||
// Auto-approve all tools during benchmarks
|
||||
cap.status_log.push(format!("auto_approved: {request_id}"));
|
||||
drop(cap); // Release lock before sending
|
||||
let approval = IncomingMessage::new("bench", "bench-user", "always");
|
||||
let _ = self.msg_tx.send(approval).await;
|
||||
return Ok(());
|
||||
}
|
||||
StatusUpdate::Thinking(ref msg) => {
|
||||
cap.status_log.push(format!("thinking: {msg}"));
|
||||
}
|
||||
StatusUpdate::ToolStarted { ref name } => {
|
||||
cap.status_log.push(format!("tool_started: {name}"));
|
||||
}
|
||||
StatusUpdate::ToolResult {
|
||||
ref name,
|
||||
ref preview,
|
||||
} => {
|
||||
cap.status_log.push(format!(
|
||||
"tool_result: {name} -> {}",
|
||||
truncate_str(preview, 100)
|
||||
));
|
||||
}
|
||||
StatusUpdate::StreamChunk(_) => {}
|
||||
StatusUpdate::Status(ref msg) => {
|
||||
cap.status_log.push(format!("status: {msg}"));
|
||||
}
|
||||
StatusUpdate::JobStarted {
|
||||
ref job_id,
|
||||
ref title,
|
||||
..
|
||||
} => {
|
||||
cap.status_log
|
||||
.push(format!("job_started: {job_id} ({title})"));
|
||||
}
|
||||
StatusUpdate::AuthRequired {
|
||||
ref extension_name, ..
|
||||
} => {
|
||||
cap.status_log
|
||||
.push(format!("auth_required: {extension_name} (auto-skipped)"));
|
||||
}
|
||||
StatusUpdate::AuthCompleted {
|
||||
ref extension_name,
|
||||
success,
|
||||
..
|
||||
} => {
|
||||
cap.status_log.push(format!(
|
||||
"auth_completed: {extension_name} success={success}"
|
||||
));
|
||||
}
|
||||
}
|
||||
Ok(())
|
||||
}
|
||||
|
||||
async fn broadcast(
|
||||
&self,
|
||||
_user_id: &str,
|
||||
response: OutgoingResponse,
|
||||
) -> Result<(), ChannelError> {
|
||||
let mut cap = self.capture.lock().await;
|
||||
cap.status_log.push(format!(
|
||||
"broadcast: {}",
|
||||
truncate_str(&response.content, 100)
|
||||
));
|
||||
Ok(())
|
||||
}
|
||||
|
||||
async fn health_check(&self) -> Result<(), ChannelError> {
|
||||
Ok(())
|
||||
}
|
||||
|
||||
async fn shutdown(&self) -> Result<(), ChannelError> {
|
||||
Ok(())
|
||||
}
|
||||
}
|
||||
|
||||
#[cfg(test)]
|
||||
mod tests {
|
||||
use super::*;
|
||||
|
||||
#[tokio::test]
|
||||
async fn test_bench_channel_captures_responses() {
|
||||
let (channel, _tx) = BenchChannel::new();
|
||||
let capture = channel.capture();
|
||||
|
||||
let msg = IncomingMessage::new("bench", "user", "hello");
|
||||
let response = OutgoingResponse::text("world");
|
||||
channel.respond(&msg, response).await.unwrap();
|
||||
|
||||
let cap = capture.lock().await;
|
||||
assert_eq!(cap.responses.len(), 1);
|
||||
assert_eq!(cap.responses[0], "world");
|
||||
assert_eq!(cap.conversation.len(), 1);
|
||||
}
|
||||
|
||||
#[tokio::test]
|
||||
async fn test_bench_channel_auto_approves() {
|
||||
let (channel, _tx) = BenchChannel::new();
|
||||
// start() to consume the receiver
|
||||
let _stream = channel.start().await.unwrap();
|
||||
|
||||
let status = StatusUpdate::ApprovalNeeded {
|
||||
request_id: "req-1".to_string(),
|
||||
tool_name: "shell".to_string(),
|
||||
description: "run ls".to_string(),
|
||||
parameters: serde_json::json!({}),
|
||||
};
|
||||
channel
|
||||
.send_status(status, &serde_json::Value::Null)
|
||||
.await
|
||||
.unwrap();
|
||||
|
||||
// The approval message was sent through msg_tx,
|
||||
// which means the stream would receive it.
|
||||
// We can't easily read from the stream in this test without
|
||||
// consuming it, but we can verify the status log.
|
||||
let capture_arc = channel.capture();
|
||||
let cap = capture_arc.lock().await;
|
||||
assert!(cap.status_log.iter().any(|s| s.contains("auto_approved")));
|
||||
}
|
||||
|
||||
#[tokio::test]
|
||||
async fn test_bench_channel_captures_tool_events() {
|
||||
let (channel, _tx) = BenchChannel::new();
|
||||
|
||||
let status = StatusUpdate::ToolCompleted {
|
||||
name: "echo".to_string(),
|
||||
success: true,
|
||||
};
|
||||
channel
|
||||
.send_status(status, &serde_json::Value::Null)
|
||||
.await
|
||||
.unwrap();
|
||||
|
||||
let capture_arc = channel.capture();
|
||||
let cap = capture_arc.lock().await;
|
||||
assert_eq!(cap.tool_calls.len(), 1);
|
||||
assert_eq!(cap.tool_calls[0].name, "echo");
|
||||
assert!(cap.tool_calls[0].success);
|
||||
}
|
||||
}
|
||||
@@ -0,0 +1,205 @@
|
||||
use std::path::{Path, PathBuf};
|
||||
use std::time::Duration;
|
||||
|
||||
use serde::Deserialize;
|
||||
|
||||
use crate::error::BenchError;
|
||||
|
||||
/// Top-level bench configuration, loaded from TOML.
|
||||
#[derive(Debug, Clone, Deserialize)]
|
||||
pub struct BenchConfig {
|
||||
/// Where to write results. Default: "./bench-results".
|
||||
#[serde(default = "default_results_dir")]
|
||||
pub results_dir: PathBuf,
|
||||
|
||||
/// Per-task timeout. Default: "300s".
|
||||
#[serde(
|
||||
default = "default_task_timeout",
|
||||
deserialize_with = "deserialize_duration"
|
||||
)]
|
||||
pub task_timeout: Duration,
|
||||
|
||||
/// How many tasks to run in parallel. Default: 1.
|
||||
#[serde(default = "default_parallelism")]
|
||||
pub parallelism: usize,
|
||||
|
||||
/// Model/config matrix entries. At least one required.
|
||||
#[serde(default)]
|
||||
pub matrix: Vec<MatrixEntry>,
|
||||
|
||||
/// Suite-specific configuration (passed through to adapter).
|
||||
#[serde(default = "default_suite_config")]
|
||||
pub suite_config: toml::Value,
|
||||
}
|
||||
|
||||
/// A single model/config combination to benchmark.
|
||||
#[derive(Debug, Clone, Deserialize)]
|
||||
pub struct MatrixEntry {
|
||||
/// Label for this configuration (used in results).
|
||||
pub label: String,
|
||||
|
||||
/// Model identifier.
|
||||
#[serde(default)]
|
||||
pub model: Option<String>,
|
||||
}
|
||||
|
||||
impl BenchConfig {
|
||||
/// Load from a TOML file.
|
||||
pub fn from_file(path: &Path) -> Result<Self, BenchError> {
|
||||
if !path.exists() {
|
||||
return Err(BenchError::ConfigNotFound {
|
||||
path: path.to_path_buf(),
|
||||
});
|
||||
}
|
||||
let content = std::fs::read_to_string(path)?;
|
||||
let config: BenchConfig = toml::from_str(&content)?;
|
||||
if config.matrix.is_empty() {
|
||||
return Err(BenchError::Config(
|
||||
"config must have at least one [[matrix]] entry".to_string(),
|
||||
));
|
||||
}
|
||||
Ok(config)
|
||||
}
|
||||
|
||||
/// Create a minimal config for when no config file is provided.
|
||||
/// Uses defaults and optional CLI overrides.
|
||||
pub fn minimal(model: Option<String>) -> Self {
|
||||
let label = model.as_deref().unwrap_or("default").to_string();
|
||||
Self {
|
||||
results_dir: default_results_dir(),
|
||||
task_timeout: default_task_timeout(),
|
||||
parallelism: default_parallelism(),
|
||||
matrix: vec![MatrixEntry { label, model }],
|
||||
suite_config: toml::Value::Table(toml::map::Map::new()),
|
||||
}
|
||||
}
|
||||
|
||||
/// Get the suite_config as a generic map for adapter use.
|
||||
pub fn suite_config_map(&self) -> toml::map::Map<String, toml::Value> {
|
||||
match &self.suite_config {
|
||||
toml::Value::Table(map) => map.clone(),
|
||||
_ => toml::map::Map::new(),
|
||||
}
|
||||
}
|
||||
|
||||
/// Get a string value from suite_config.
|
||||
pub fn suite_config_str(&self, key: &str) -> Option<String> {
|
||||
self.suite_config_map()
|
||||
.get(key)
|
||||
.and_then(|v| v.as_str())
|
||||
.map(|s| s.to_string())
|
||||
}
|
||||
}
|
||||
|
||||
fn default_suite_config() -> toml::Value {
|
||||
toml::Value::Table(toml::map::Map::new())
|
||||
}
|
||||
|
||||
fn default_results_dir() -> PathBuf {
|
||||
PathBuf::from("./bench-results")
|
||||
}
|
||||
|
||||
fn default_task_timeout() -> Duration {
|
||||
Duration::from_secs(300)
|
||||
}
|
||||
|
||||
fn default_parallelism() -> usize {
|
||||
1
|
||||
}
|
||||
|
||||
/// Deserialize a duration from a string like "300s", "5m", etc.
|
||||
fn deserialize_duration<'de, D>(deserializer: D) -> Result<Duration, D::Error>
|
||||
where
|
||||
D: serde::Deserializer<'de>,
|
||||
{
|
||||
let s = String::deserialize(deserializer)?;
|
||||
parse_duration(&s).map_err(serde::de::Error::custom)
|
||||
}
|
||||
|
||||
fn parse_duration(s: &str) -> Result<Duration, String> {
|
||||
let s = s.trim();
|
||||
if let Some(secs) = s.strip_suffix('s') {
|
||||
secs.trim()
|
||||
.parse::<u64>()
|
||||
.map(Duration::from_secs)
|
||||
.map_err(|e| format!("invalid seconds: {e}"))
|
||||
} else if let Some(mins) = s.strip_suffix('m') {
|
||||
mins.trim()
|
||||
.parse::<u64>()
|
||||
.map(|m| Duration::from_secs(m * 60))
|
||||
.map_err(|e| format!("invalid minutes: {e}"))
|
||||
} else {
|
||||
// Assume seconds if no suffix
|
||||
s.parse::<u64>()
|
||||
.map(Duration::from_secs)
|
||||
.map_err(|e| format!("invalid duration '{s}': {e}"))
|
||||
}
|
||||
}
|
||||
|
||||
#[cfg(test)]
|
||||
mod tests {
|
||||
use super::*;
|
||||
|
||||
#[test]
|
||||
fn test_parse_duration() {
|
||||
assert_eq!(parse_duration("300s").unwrap(), Duration::from_secs(300));
|
||||
assert_eq!(parse_duration("5m").unwrap(), Duration::from_secs(300));
|
||||
assert_eq!(parse_duration("60").unwrap(), Duration::from_secs(60));
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_minimal_config() {
|
||||
let config = BenchConfig::minimal(Some("test-model".to_string()));
|
||||
assert_eq!(config.matrix.len(), 1);
|
||||
assert_eq!(config.matrix[0].label, "test-model");
|
||||
assert_eq!(config.parallelism, 1);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_config_rejects_empty_matrix() {
|
||||
let dir = tempfile::tempdir().unwrap();
|
||||
let path = dir.path().join("empty.toml");
|
||||
std::fs::write(
|
||||
&path,
|
||||
r#"
|
||||
results_dir = "./results"
|
||||
task_timeout = "60s"
|
||||
"#,
|
||||
)
|
||||
.unwrap();
|
||||
let err = BenchConfig::from_file(&path).unwrap_err();
|
||||
assert!(
|
||||
err.to_string().contains("at least one [[matrix]]"),
|
||||
"got: {err}"
|
||||
);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_config_from_toml() {
|
||||
let toml_str = r#"
|
||||
results_dir = "./my-results"
|
||||
task_timeout = "60s"
|
||||
parallelism = 2
|
||||
|
||||
[[matrix]]
|
||||
label = "fast"
|
||||
model = "gpt-4o-mini"
|
||||
|
||||
[[matrix]]
|
||||
label = "full"
|
||||
model = "claude-3-5-sonnet"
|
||||
|
||||
[suite_config]
|
||||
dataset_path = "./data/test.jsonl"
|
||||
"#;
|
||||
let config: BenchConfig = toml::from_str(toml_str).unwrap();
|
||||
assert_eq!(config.results_dir, PathBuf::from("./my-results"));
|
||||
assert_eq!(config.task_timeout, Duration::from_secs(60));
|
||||
assert_eq!(config.parallelism, 2);
|
||||
assert_eq!(config.matrix.len(), 2);
|
||||
assert_eq!(
|
||||
config.suite_config_str("dataset_path").unwrap(),
|
||||
"./data/test.jsonl"
|
||||
);
|
||||
}
|
||||
}
|
||||
@@ -0,0 +1,40 @@
|
||||
use std::path::PathBuf;
|
||||
|
||||
#[derive(Debug, thiserror::Error)]
|
||||
pub enum BenchError {
|
||||
#[error("Config error: {0}")]
|
||||
Config(String),
|
||||
|
||||
#[error("Config file not found: {path}")]
|
||||
ConfigNotFound { path: PathBuf },
|
||||
|
||||
#[error("Suite {name} not found. Available: {available}")]
|
||||
SuiteNotFound { name: String, available: String },
|
||||
|
||||
#[error("Task {task_id} failed: {reason}")]
|
||||
TaskFailed { task_id: String, reason: String },
|
||||
|
||||
#[error("Timeout after {seconds}s for task {task_id}")]
|
||||
Timeout { task_id: String, seconds: u64 },
|
||||
|
||||
#[error("Scoring error for task {task_id}: {reason}")]
|
||||
Scoring { task_id: String, reason: String },
|
||||
|
||||
#[error("IO error: {0}")]
|
||||
Io(#[from] std::io::Error),
|
||||
|
||||
#[error("JSON error: {0}")]
|
||||
Json(#[from] serde_json::Error),
|
||||
|
||||
#[error("TOML parse error: {0}")]
|
||||
Toml(#[from] toml::de::Error),
|
||||
|
||||
#[error("Agent error: {0}")]
|
||||
Agent(#[from] ironclaw::Error),
|
||||
|
||||
#[error("Results directory error: {0}")]
|
||||
ResultsDir(String),
|
||||
|
||||
#[error("Resume failed: no completed tasks found in {path}")]
|
||||
ResumeEmpty { path: PathBuf },
|
||||
}
|
||||
@@ -0,0 +1,250 @@
|
||||
use std::sync::Arc;
|
||||
use std::sync::atomic::{AtomicU32, Ordering};
|
||||
use std::time::Instant;
|
||||
|
||||
use async_trait::async_trait;
|
||||
use rust_decimal::Decimal;
|
||||
use rust_decimal::prelude::ToPrimitive;
|
||||
use tokio::sync::Mutex;
|
||||
|
||||
use ironclaw::error::LlmError;
|
||||
use ironclaw::llm::{
|
||||
CompletionRequest, CompletionResponse, LlmProvider, ToolCompletionRequest,
|
||||
ToolCompletionResponse,
|
||||
};
|
||||
|
||||
/// Recorded metrics from a single LLM call.
|
||||
#[derive(Debug, Clone)]
|
||||
pub struct LlmCallRecord {
|
||||
pub input_tokens: u32,
|
||||
pub output_tokens: u32,
|
||||
pub duration_ms: u64,
|
||||
pub had_tool_calls: bool,
|
||||
}
|
||||
|
||||
/// Wraps an `LlmProvider` to record per-call metrics.
|
||||
///
|
||||
/// The wrapper is transparent to the agent: it delegates every call
|
||||
/// to the inner provider and captures token counts and timings.
|
||||
pub struct InstrumentedLlm {
|
||||
inner: Arc<dyn LlmProvider>,
|
||||
records: Mutex<Vec<LlmCallRecord>>,
|
||||
total_input_tokens: AtomicU32,
|
||||
total_output_tokens: AtomicU32,
|
||||
call_count: AtomicU32,
|
||||
}
|
||||
|
||||
impl InstrumentedLlm {
|
||||
pub fn new(inner: Arc<dyn LlmProvider>) -> Self {
|
||||
Self {
|
||||
inner,
|
||||
records: Mutex::new(Vec::new()),
|
||||
total_input_tokens: AtomicU32::new(0),
|
||||
total_output_tokens: AtomicU32::new(0),
|
||||
call_count: AtomicU32::new(0),
|
||||
}
|
||||
}
|
||||
|
||||
/// Take all recorded call metrics, clearing the internal buffer.
|
||||
pub async fn take_records(&self) -> Vec<LlmCallRecord> {
|
||||
let mut records = self.records.lock().await;
|
||||
std::mem::take(&mut *records)
|
||||
}
|
||||
|
||||
/// Snapshot of total tokens without clearing.
|
||||
pub fn total_input_tokens(&self) -> u32 {
|
||||
self.total_input_tokens.load(Ordering::Relaxed)
|
||||
}
|
||||
|
||||
pub fn total_output_tokens(&self) -> u32 {
|
||||
self.total_output_tokens.load(Ordering::Relaxed)
|
||||
}
|
||||
|
||||
pub fn call_count(&self) -> u32 {
|
||||
self.call_count.load(Ordering::Relaxed)
|
||||
}
|
||||
|
||||
/// Estimated cost using the inner provider's cost-per-token rates.
|
||||
pub fn estimated_cost(&self) -> f64 {
|
||||
let (input_rate, output_rate) = self.inner.cost_per_token();
|
||||
let input_cost =
|
||||
input_rate * Decimal::from(self.total_input_tokens.load(Ordering::Relaxed));
|
||||
let output_cost =
|
||||
output_rate * Decimal::from(self.total_output_tokens.load(Ordering::Relaxed));
|
||||
let total = input_cost + output_cost;
|
||||
total.to_f64().unwrap_or(0.0)
|
||||
}
|
||||
|
||||
/// Reset all counters and records.
|
||||
pub async fn reset(&self) {
|
||||
self.records.lock().await.clear();
|
||||
self.total_input_tokens.store(0, Ordering::Relaxed);
|
||||
self.total_output_tokens.store(0, Ordering::Relaxed);
|
||||
self.call_count.store(0, Ordering::Relaxed);
|
||||
}
|
||||
|
||||
async fn record(
|
||||
&self,
|
||||
input_tokens: u32,
|
||||
output_tokens: u32,
|
||||
duration_ms: u64,
|
||||
had_tool_calls: bool,
|
||||
) {
|
||||
self.total_input_tokens
|
||||
.fetch_add(input_tokens, Ordering::Relaxed);
|
||||
self.total_output_tokens
|
||||
.fetch_add(output_tokens, Ordering::Relaxed);
|
||||
self.call_count.fetch_add(1, Ordering::Relaxed);
|
||||
self.records.lock().await.push(LlmCallRecord {
|
||||
input_tokens,
|
||||
output_tokens,
|
||||
duration_ms,
|
||||
had_tool_calls,
|
||||
});
|
||||
}
|
||||
}
|
||||
|
||||
#[async_trait]
|
||||
impl LlmProvider for InstrumentedLlm {
|
||||
fn model_name(&self) -> &str {
|
||||
self.inner.model_name()
|
||||
}
|
||||
|
||||
fn cost_per_token(&self) -> (Decimal, Decimal) {
|
||||
self.inner.cost_per_token()
|
||||
}
|
||||
|
||||
async fn complete(&self, request: CompletionRequest) -> Result<CompletionResponse, LlmError> {
|
||||
let start = Instant::now();
|
||||
let response = self.inner.complete(request).await?;
|
||||
let elapsed = start.elapsed().as_millis() as u64;
|
||||
self.record(
|
||||
response.input_tokens,
|
||||
response.output_tokens,
|
||||
elapsed,
|
||||
false,
|
||||
)
|
||||
.await;
|
||||
Ok(response)
|
||||
}
|
||||
|
||||
async fn complete_with_tools(
|
||||
&self,
|
||||
request: ToolCompletionRequest,
|
||||
) -> Result<ToolCompletionResponse, LlmError> {
|
||||
let start = Instant::now();
|
||||
let response = self.inner.complete_with_tools(request).await?;
|
||||
let elapsed = start.elapsed().as_millis() as u64;
|
||||
let had_tool_calls = !response.tool_calls.is_empty();
|
||||
self.record(
|
||||
response.input_tokens,
|
||||
response.output_tokens,
|
||||
elapsed,
|
||||
had_tool_calls,
|
||||
)
|
||||
.await;
|
||||
Ok(response)
|
||||
}
|
||||
|
||||
async fn list_models(&self) -> Result<Vec<String>, LlmError> {
|
||||
self.inner.list_models().await
|
||||
}
|
||||
}
|
||||
|
||||
#[cfg(test)]
|
||||
mod tests {
|
||||
use super::*;
|
||||
use ironclaw::llm::{ChatMessage, CompletionRequest, CompletionResponse, FinishReason};
|
||||
|
||||
/// Fake LLM that returns a canned response with known token counts.
|
||||
struct FakeLlm;
|
||||
|
||||
#[async_trait]
|
||||
impl LlmProvider for FakeLlm {
|
||||
fn model_name(&self) -> &str {
|
||||
"fake-model"
|
||||
}
|
||||
|
||||
fn cost_per_token(&self) -> (Decimal, Decimal) {
|
||||
(
|
||||
Decimal::new(3, 6), // $0.000003 per input token
|
||||
Decimal::new(15, 6), // $0.000015 per output token
|
||||
)
|
||||
}
|
||||
|
||||
async fn complete(
|
||||
&self,
|
||||
_request: CompletionRequest,
|
||||
) -> Result<CompletionResponse, LlmError> {
|
||||
Ok(CompletionResponse {
|
||||
content: "test response".to_string(),
|
||||
input_tokens: 100,
|
||||
output_tokens: 50,
|
||||
finish_reason: FinishReason::Stop,
|
||||
response_id: None,
|
||||
})
|
||||
}
|
||||
|
||||
async fn complete_with_tools(
|
||||
&self,
|
||||
_request: ToolCompletionRequest,
|
||||
) -> Result<ToolCompletionResponse, LlmError> {
|
||||
Ok(ToolCompletionResponse {
|
||||
content: Some("tool response".to_string()),
|
||||
tool_calls: vec![],
|
||||
input_tokens: 200,
|
||||
output_tokens: 100,
|
||||
finish_reason: FinishReason::Stop,
|
||||
response_id: None,
|
||||
})
|
||||
}
|
||||
}
|
||||
|
||||
#[tokio::test]
|
||||
async fn test_instrumented_records_metrics() {
|
||||
let inner = Arc::new(FakeLlm);
|
||||
let instrumented = InstrumentedLlm::new(inner);
|
||||
|
||||
let request = CompletionRequest::new(vec![ChatMessage::user("hello")]);
|
||||
let _ = instrumented.complete(request).await.unwrap();
|
||||
|
||||
assert_eq!(instrumented.call_count(), 1);
|
||||
assert_eq!(instrumented.total_input_tokens(), 100);
|
||||
assert_eq!(instrumented.total_output_tokens(), 50);
|
||||
|
||||
let records = instrumented.take_records().await;
|
||||
assert_eq!(records.len(), 1);
|
||||
assert_eq!(records[0].input_tokens, 100);
|
||||
assert!(!records[0].had_tool_calls);
|
||||
}
|
||||
|
||||
#[tokio::test]
|
||||
async fn test_instrumented_cost_calculation() {
|
||||
let inner = Arc::new(FakeLlm);
|
||||
let instrumented = InstrumentedLlm::new(inner);
|
||||
|
||||
let request = CompletionRequest::new(vec![ChatMessage::user("hello")]);
|
||||
let _ = instrumented.complete(request).await.unwrap();
|
||||
|
||||
// 100 * 0.000003 + 50 * 0.000015 = 0.0003 + 0.00075 = 0.00105
|
||||
let cost = instrumented.estimated_cost();
|
||||
assert!((cost - 0.00105).abs() < 0.0001);
|
||||
}
|
||||
|
||||
#[tokio::test]
|
||||
async fn test_instrumented_reset() {
|
||||
let inner = Arc::new(FakeLlm);
|
||||
let instrumented = InstrumentedLlm::new(inner);
|
||||
|
||||
let request = CompletionRequest::new(vec![ChatMessage::user("hello")]);
|
||||
let _ = instrumented.complete(request).await.unwrap();
|
||||
assert_eq!(instrumented.call_count(), 1);
|
||||
|
||||
instrumented.reset().await;
|
||||
assert_eq!(instrumented.call_count(), 0);
|
||||
assert_eq!(instrumented.total_input_tokens(), 0);
|
||||
|
||||
let records = instrumented.take_records().await;
|
||||
assert!(records.is_empty());
|
||||
}
|
||||
}
|
||||
@@ -0,0 +1,314 @@
|
||||
mod adapters;
|
||||
mod channel;
|
||||
mod config;
|
||||
mod error;
|
||||
mod instrumented_llm;
|
||||
mod results;
|
||||
mod runner;
|
||||
mod scoring;
|
||||
mod suite;
|
||||
|
||||
use std::path::PathBuf;
|
||||
use std::sync::Arc;
|
||||
|
||||
use clap::{Parser, Subcommand};
|
||||
use tracing_subscriber::{EnvFilter, layer::SubscriberExt, util::SubscriberInitExt};
|
||||
use uuid::Uuid;
|
||||
|
||||
use crate::config::BenchConfig;
|
||||
|
||||
#[derive(Parser)]
|
||||
#[command(name = "ironclaw-bench", about = "IronClaw benchmarking harness")]
|
||||
struct Cli {
|
||||
#[command(subcommand)]
|
||||
command: Commands,
|
||||
}
|
||||
|
||||
#[derive(Subcommand)]
|
||||
enum Commands {
|
||||
/// Run a benchmark suite.
|
||||
Run {
|
||||
/// Suite to run (custom, gaia, spot, tau_bench, swe_bench).
|
||||
#[arg(long)]
|
||||
suite: String,
|
||||
|
||||
/// Path to bench config TOML.
|
||||
#[arg(long)]
|
||||
config: Option<PathBuf>,
|
||||
|
||||
/// Override model for all matrix entries.
|
||||
#[arg(long)]
|
||||
model: Option<String>,
|
||||
|
||||
/// Max tasks to run in parallel.
|
||||
#[arg(long)]
|
||||
parallelism: Option<usize>,
|
||||
|
||||
/// Sample N tasks from the suite (for quick testing).
|
||||
#[arg(long)]
|
||||
sample: Option<usize>,
|
||||
|
||||
/// Only run these task IDs (comma-separated).
|
||||
#[arg(long, value_delimiter = ',')]
|
||||
task_ids: Option<Vec<String>>,
|
||||
|
||||
/// Only run tasks with these tags (comma-separated).
|
||||
#[arg(long, value_delimiter = ',')]
|
||||
tags: Option<Vec<String>>,
|
||||
|
||||
/// Per-task timeout in seconds.
|
||||
#[arg(long)]
|
||||
timeout_secs: Option<u64>,
|
||||
|
||||
/// Override results directory.
|
||||
#[arg(long)]
|
||||
results_dir: Option<PathBuf>,
|
||||
|
||||
/// Resume a previous run by ID.
|
||||
#[arg(long)]
|
||||
resume: Option<Uuid>,
|
||||
},
|
||||
|
||||
/// Show results for a run.
|
||||
Results {
|
||||
/// Run ID or "latest".
|
||||
#[arg(default_value = "latest")]
|
||||
run_id: String,
|
||||
|
||||
/// Output format.
|
||||
#[arg(long, default_value = "table")]
|
||||
format: ResultsFormat,
|
||||
|
||||
/// Override results directory.
|
||||
#[arg(long)]
|
||||
results_dir: Option<PathBuf>,
|
||||
},
|
||||
|
||||
/// Compare two runs.
|
||||
Compare {
|
||||
/// Baseline run ID.
|
||||
baseline: Uuid,
|
||||
|
||||
/// Comparison run ID.
|
||||
comparison: Uuid,
|
||||
|
||||
/// Override results directory.
|
||||
#[arg(long)]
|
||||
results_dir: Option<PathBuf>,
|
||||
},
|
||||
|
||||
/// List available benchmark suites.
|
||||
List,
|
||||
}
|
||||
|
||||
#[derive(Clone, Debug, clap::ValueEnum)]
|
||||
enum ResultsFormat {
|
||||
Table,
|
||||
Json,
|
||||
Csv,
|
||||
}
|
||||
|
||||
#[tokio::main]
|
||||
async fn main() -> anyhow::Result<()> {
|
||||
let cli = Cli::parse();
|
||||
|
||||
tracing_subscriber::registry()
|
||||
.with(
|
||||
EnvFilter::try_from_default_env()
|
||||
.unwrap_or_else(|_| EnvFilter::new("ironclaw_bench=info,ironclaw=warn")),
|
||||
)
|
||||
.with(tracing_subscriber::fmt::layer().with_target(false))
|
||||
.init();
|
||||
|
||||
match cli.command {
|
||||
Commands::List => {
|
||||
println!("Available benchmark suites:\n");
|
||||
for (id, desc) in adapters::KNOWN_SUITES {
|
||||
println!(" {:<15} {}", id, desc);
|
||||
}
|
||||
println!();
|
||||
}
|
||||
Commands::Run {
|
||||
suite,
|
||||
config: config_path,
|
||||
model,
|
||||
parallelism,
|
||||
sample,
|
||||
task_ids,
|
||||
tags,
|
||||
timeout_secs,
|
||||
results_dir,
|
||||
resume,
|
||||
} => {
|
||||
// Load or create config
|
||||
let mut bench_config = if let Some(ref path) = config_path {
|
||||
BenchConfig::from_file(path)?
|
||||
} else {
|
||||
BenchConfig::minimal(model.clone())
|
||||
};
|
||||
|
||||
// Apply CLI overrides
|
||||
if let Some(p) = parallelism {
|
||||
bench_config.parallelism = p;
|
||||
}
|
||||
if let Some(t) = timeout_secs {
|
||||
bench_config.task_timeout = std::time::Duration::from_secs(t);
|
||||
}
|
||||
if let Some(ref dir) = results_dir {
|
||||
bench_config.results_dir = dir.clone();
|
||||
}
|
||||
|
||||
// If model override specified and we have matrix entries, update them
|
||||
if let Some(ref m) = model {
|
||||
for entry in &mut bench_config.matrix {
|
||||
entry.model = Some(m.clone());
|
||||
}
|
||||
}
|
||||
|
||||
// Create suite
|
||||
let bench_suite = adapters::create_suite(&suite, &bench_config)?;
|
||||
|
||||
// Initialize ironclaw LLM provider
|
||||
let ironclaw_config = ironclaw::Config::from_env().await.map_err(|e| {
|
||||
anyhow::anyhow!(
|
||||
"Failed to load ironclaw config: {}. Make sure .env is configured.",
|
||||
e
|
||||
)
|
||||
})?;
|
||||
|
||||
let session = ironclaw::llm::create_session_manager(ironclaw::llm::SessionConfig {
|
||||
auth_base_url: ironclaw_config.llm.nearai.auth_base_url.clone(),
|
||||
session_path: ironclaw_config.llm.nearai.session_path.clone(),
|
||||
..Default::default()
|
||||
})
|
||||
.await;
|
||||
session.ensure_authenticated().await?;
|
||||
|
||||
let llm = ironclaw::llm::create_llm_provider(&ironclaw_config.llm, session)?;
|
||||
let safety = Arc::new(ironclaw::safety::SafetyLayer::new(&ironclaw_config.safety));
|
||||
|
||||
let runner = runner::BenchRunner::new(bench_suite, bench_config.clone(), llm, safety);
|
||||
|
||||
// Run for each matrix entry
|
||||
for matrix_entry in &bench_config.matrix {
|
||||
let run_id = runner
|
||||
.run(
|
||||
matrix_entry,
|
||||
sample,
|
||||
task_ids.as_deref(),
|
||||
tags.as_deref(),
|
||||
resume,
|
||||
)
|
||||
.await?;
|
||||
println!("Run complete: {}", run_id);
|
||||
}
|
||||
}
|
||||
Commands::Results {
|
||||
run_id,
|
||||
format,
|
||||
results_dir,
|
||||
} => {
|
||||
let base = results_dir.unwrap_or_else(|| PathBuf::from("./bench-results"));
|
||||
let uuid = if run_id == "latest" {
|
||||
results::find_latest_run(&base)?
|
||||
.ok_or_else(|| anyhow::anyhow!("No runs found in {}", base.display()))?
|
||||
} else {
|
||||
Uuid::parse_str(&run_id)?
|
||||
};
|
||||
|
||||
let json_path = results::run_json_path(&base, uuid);
|
||||
let jsonl_path = results::tasks_jsonl_path(&base, uuid);
|
||||
|
||||
let run = results::read_run_result(&json_path)?;
|
||||
let tasks = results::read_task_results(&jsonl_path)?;
|
||||
|
||||
match format {
|
||||
ResultsFormat::Table => {
|
||||
results::print_results_table(&tasks, &run);
|
||||
}
|
||||
ResultsFormat::Json => {
|
||||
let output = serde_json::json!({
|
||||
"run": run,
|
||||
"tasks": tasks,
|
||||
});
|
||||
println!("{}", serde_json::to_string_pretty(&output)?);
|
||||
}
|
||||
ResultsFormat::Csv => {
|
||||
println!("task_id,score,label,tokens,cost,turns,time_s");
|
||||
for task in &tasks {
|
||||
println!(
|
||||
"{},{:.3},{},{},{:.4},{},{:.1}",
|
||||
task.task_id,
|
||||
task.score.value,
|
||||
task.score.label,
|
||||
task.trace.input_tokens + task.trace.output_tokens,
|
||||
task.trace.estimated_cost_usd,
|
||||
task.trace.turns,
|
||||
task.trace.wall_time_ms as f64 / 1000.0,
|
||||
);
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
Commands::Compare {
|
||||
baseline,
|
||||
comparison,
|
||||
results_dir,
|
||||
} => {
|
||||
let base = results_dir.unwrap_or_else(|| PathBuf::from("./bench-results"));
|
||||
|
||||
let baseline_run = results::read_run_result(&results::run_json_path(&base, baseline))?;
|
||||
let comparison_run =
|
||||
results::read_run_result(&results::run_json_path(&base, comparison))?;
|
||||
|
||||
println!("\nComparison: {} vs {}\n", baseline, comparison);
|
||||
println!(
|
||||
"{:<20} {:>12} {:>12} {:>10}",
|
||||
"Metric", "Baseline", "Comparison", "Delta"
|
||||
);
|
||||
println!("{}", "-".repeat(58));
|
||||
|
||||
let pass_delta = comparison_run.pass_rate - baseline_run.pass_rate;
|
||||
println!(
|
||||
"{:<20} {:>11.1}% {:>11.1}% {:>+9.1}%",
|
||||
"Pass rate",
|
||||
baseline_run.pass_rate * 100.0,
|
||||
comparison_run.pass_rate * 100.0,
|
||||
pass_delta * 100.0,
|
||||
);
|
||||
|
||||
let score_delta = comparison_run.avg_score - baseline_run.avg_score;
|
||||
println!(
|
||||
"{:<20} {:>12.3} {:>12.3} {:>+10.3}",
|
||||
"Avg score", baseline_run.avg_score, comparison_run.avg_score, score_delta,
|
||||
);
|
||||
|
||||
let cost_delta = comparison_run.total_cost_usd - baseline_run.total_cost_usd;
|
||||
println!(
|
||||
"{:<20} {:>11.4}$ {:>11.4}$ {:>+9.4}$",
|
||||
"Total cost",
|
||||
baseline_run.total_cost_usd,
|
||||
comparison_run.total_cost_usd,
|
||||
cost_delta,
|
||||
);
|
||||
|
||||
let time_b = baseline_run.total_wall_time_ms as f64 / 1000.0;
|
||||
let time_c = comparison_run.total_wall_time_ms as f64 / 1000.0;
|
||||
println!(
|
||||
"{:<20} {:>11.1}s {:>11.1}s {:>+9.1}s",
|
||||
"Total time",
|
||||
time_b,
|
||||
time_c,
|
||||
time_c - time_b,
|
||||
);
|
||||
|
||||
println!(
|
||||
"{:<20} {:>12} {:>12}",
|
||||
"Model", baseline_run.model, comparison_run.model,
|
||||
);
|
||||
println!();
|
||||
}
|
||||
}
|
||||
|
||||
Ok(())
|
||||
}
|
||||
@@ -0,0 +1,483 @@
|
||||
use std::collections::HashSet;
|
||||
use std::io::{BufRead, Write};
|
||||
use std::path::{Path, PathBuf};
|
||||
use std::time::Duration;
|
||||
|
||||
use chrono::{DateTime, Utc};
|
||||
use uuid::Uuid;
|
||||
|
||||
use crate::error::BenchError;
|
||||
use crate::suite::BenchScore;
|
||||
|
||||
/// Metrics from a single task run: LLM usage, timing, tool calls.
|
||||
#[derive(Debug, Clone, serde::Serialize, serde::Deserialize)]
|
||||
pub struct Trace {
|
||||
pub wall_time_ms: u64,
|
||||
pub llm_calls: u32,
|
||||
pub input_tokens: u32,
|
||||
pub output_tokens: u32,
|
||||
pub estimated_cost_usd: f64,
|
||||
pub tool_calls: Vec<TraceToolCall>,
|
||||
pub turns: u32,
|
||||
pub hit_iteration_limit: bool,
|
||||
pub hit_timeout: bool,
|
||||
}
|
||||
|
||||
impl Trace {
|
||||
pub fn wall_time(&self) -> Duration {
|
||||
Duration::from_millis(self.wall_time_ms)
|
||||
}
|
||||
}
|
||||
|
||||
#[derive(Debug, Clone, serde::Serialize, serde::Deserialize)]
|
||||
pub struct TraceToolCall {
|
||||
pub name: String,
|
||||
pub duration_ms: u64,
|
||||
pub success: bool,
|
||||
}
|
||||
|
||||
/// Result of running a single benchmark task.
|
||||
#[derive(Debug, Clone, serde::Serialize, serde::Deserialize)]
|
||||
pub struct TaskResult {
|
||||
pub task_id: String,
|
||||
pub suite_id: String,
|
||||
pub score: BenchScore,
|
||||
pub trace: Trace,
|
||||
pub response: String,
|
||||
pub started_at: DateTime<Utc>,
|
||||
pub finished_at: DateTime<Utc>,
|
||||
pub config_label: String,
|
||||
#[serde(default)]
|
||||
pub error: Option<String>,
|
||||
}
|
||||
|
||||
/// Aggregate results for a full benchmark run.
|
||||
#[derive(Debug, Clone, serde::Serialize, serde::Deserialize)]
|
||||
pub struct RunResult {
|
||||
pub run_id: Uuid,
|
||||
pub suite_id: String,
|
||||
pub config_label: String,
|
||||
pub model: String,
|
||||
/// Short git commit hash at the time of the run.
|
||||
#[serde(default)]
|
||||
pub commit_hash: String,
|
||||
pub pass_rate: f64,
|
||||
pub avg_score: f64,
|
||||
pub total_tasks: usize,
|
||||
pub completed_tasks: usize,
|
||||
pub total_cost_usd: f64,
|
||||
pub total_wall_time_ms: u64,
|
||||
pub started_at: DateTime<Utc>,
|
||||
pub finished_at: DateTime<Utc>,
|
||||
}
|
||||
|
||||
impl RunResult {
|
||||
/// Build aggregate from individual task results.
|
||||
pub fn from_tasks(
|
||||
run_id: Uuid,
|
||||
suite_id: &str,
|
||||
config_label: &str,
|
||||
model: &str,
|
||||
commit_hash: &str,
|
||||
total_tasks: usize,
|
||||
tasks: &[TaskResult],
|
||||
started_at: DateTime<Utc>,
|
||||
) -> Self {
|
||||
let pass_count = tasks.iter().filter(|t| t.score.value >= 1.0).count();
|
||||
let pass_rate = if tasks.is_empty() {
|
||||
0.0
|
||||
} else {
|
||||
pass_count as f64 / tasks.len() as f64
|
||||
};
|
||||
let avg_score = if tasks.is_empty() {
|
||||
0.0
|
||||
} else {
|
||||
tasks.iter().map(|t| t.score.value).sum::<f64>() / tasks.len() as f64
|
||||
};
|
||||
let total_cost: f64 = tasks.iter().map(|t| t.trace.estimated_cost_usd).sum();
|
||||
let total_wall: u64 = tasks.iter().map(|t| t.trace.wall_time_ms).sum();
|
||||
|
||||
Self {
|
||||
run_id,
|
||||
suite_id: suite_id.to_string(),
|
||||
config_label: config_label.to_string(),
|
||||
model: model.to_string(),
|
||||
commit_hash: commit_hash.to_string(),
|
||||
pass_rate,
|
||||
avg_score,
|
||||
total_tasks,
|
||||
completed_tasks: tasks.len(),
|
||||
total_cost_usd: total_cost,
|
||||
total_wall_time_ms: total_wall,
|
||||
started_at,
|
||||
finished_at: Utc::now(),
|
||||
}
|
||||
}
|
||||
|
||||
pub fn total_wall_time(&self) -> Duration {
|
||||
Duration::from_millis(self.total_wall_time_ms)
|
||||
}
|
||||
}
|
||||
|
||||
/// Append a single task result as one JSON line to the JSONL file.
|
||||
pub fn append_task_result(path: &Path, result: &TaskResult) -> Result<(), BenchError> {
|
||||
let mut file = std::fs::OpenOptions::new()
|
||||
.create(true)
|
||||
.append(true)
|
||||
.open(path)?;
|
||||
let line = serde_json::to_string(result)?;
|
||||
writeln!(file, "{line}")?;
|
||||
Ok(())
|
||||
}
|
||||
|
||||
/// Overwrite the JSONL file with the given results (used after scoring).
|
||||
pub fn write_task_results(path: &Path, results: &[TaskResult]) -> Result<(), BenchError> {
|
||||
let mut file = std::fs::File::create(path)?;
|
||||
for result in results {
|
||||
let line = serde_json::to_string(result)?;
|
||||
writeln!(file, "{line}")?;
|
||||
}
|
||||
Ok(())
|
||||
}
|
||||
|
||||
/// Read all task results from a JSONL file.
|
||||
pub fn read_task_results(path: &Path) -> Result<Vec<TaskResult>, BenchError> {
|
||||
if !path.exists() {
|
||||
return Ok(Vec::new());
|
||||
}
|
||||
let file = std::fs::File::open(path)?;
|
||||
let reader = std::io::BufReader::new(file);
|
||||
let mut results = Vec::new();
|
||||
for line in reader.lines() {
|
||||
let line = line?;
|
||||
let trimmed = line.trim();
|
||||
if trimmed.is_empty() {
|
||||
continue;
|
||||
}
|
||||
let result: TaskResult = serde_json::from_str(trimmed)?;
|
||||
results.push(result);
|
||||
}
|
||||
Ok(results)
|
||||
}
|
||||
|
||||
/// Write the aggregate run result as JSON.
|
||||
pub fn write_run_result(path: &Path, result: &RunResult) -> Result<(), BenchError> {
|
||||
let json = serde_json::to_string_pretty(result)?;
|
||||
std::fs::write(path, json)?;
|
||||
Ok(())
|
||||
}
|
||||
|
||||
/// Read the aggregate run result from JSON.
|
||||
pub fn read_run_result(path: &Path) -> Result<RunResult, BenchError> {
|
||||
let json = std::fs::read_to_string(path)?;
|
||||
let result: RunResult = serde_json::from_str(&json)?;
|
||||
Ok(result)
|
||||
}
|
||||
|
||||
/// Get the set of already-completed task IDs from a JSONL file (for resume).
|
||||
///
|
||||
/// Only includes tasks that have been scored (label != "pending"). Tasks that
|
||||
/// were written but not scored (e.g., from an interrupted run) will be re-executed.
|
||||
pub fn completed_task_ids(path: &Path) -> Result<HashSet<String>, BenchError> {
|
||||
let results = read_task_results(path)?;
|
||||
Ok(results
|
||||
.into_iter()
|
||||
.filter(|r| r.score.label != "pending")
|
||||
.map(|r| r.task_id)
|
||||
.collect())
|
||||
}
|
||||
|
||||
/// Get the results directory for a specific run.
|
||||
pub fn run_dir(base: &Path, run_id: Uuid) -> PathBuf {
|
||||
base.join(run_id.to_string())
|
||||
}
|
||||
|
||||
/// Get the tasks JSONL path for a run.
|
||||
pub fn tasks_jsonl_path(base: &Path, run_id: Uuid) -> PathBuf {
|
||||
run_dir(base, run_id).join("tasks.jsonl")
|
||||
}
|
||||
|
||||
/// Get the run JSON path for a run.
|
||||
pub fn run_json_path(base: &Path, run_id: Uuid) -> PathBuf {
|
||||
run_dir(base, run_id).join("run.json")
|
||||
}
|
||||
|
||||
/// Find the latest run directory by the modification time of its `run.json`.
|
||||
///
|
||||
/// Falls back to `tasks.jsonl` mtime, then directory mtime. This avoids the
|
||||
/// issue where modifying files inside a directory doesn't update the directory's
|
||||
/// mtime on many filesystems.
|
||||
pub fn find_latest_run(base: &Path) -> Result<Option<Uuid>, BenchError> {
|
||||
if !base.exists() {
|
||||
return Ok(None);
|
||||
}
|
||||
let mut entries: Vec<_> = std::fs::read_dir(base)?
|
||||
.filter_map(|e| e.ok())
|
||||
.filter(|e| e.file_type().map(|ft| ft.is_dir()).unwrap_or(false))
|
||||
.filter_map(|e| {
|
||||
let name = e.file_name().to_string_lossy().to_string();
|
||||
let uuid = Uuid::parse_str(&name).ok()?;
|
||||
let dir_path = e.path();
|
||||
// Prefer run.json mtime, fall back to tasks.jsonl, then directory
|
||||
let modified = std::fs::metadata(dir_path.join("run.json"))
|
||||
.and_then(|m| m.modified())
|
||||
.or_else(|_| {
|
||||
std::fs::metadata(dir_path.join("tasks.jsonl")).and_then(|m| m.modified())
|
||||
})
|
||||
.or_else(|_| e.metadata().and_then(|m| m.modified()))
|
||||
.ok()?;
|
||||
Some((uuid, modified))
|
||||
})
|
||||
.collect();
|
||||
entries.sort_by(|a, b| b.1.cmp(&a.1));
|
||||
Ok(entries.first().map(|(uuid, _)| *uuid))
|
||||
}
|
||||
|
||||
/// Print a summary table of task results.
|
||||
pub fn print_results_table(tasks: &[TaskResult], run: &RunResult) {
|
||||
println!();
|
||||
let commit_suffix = if run.commit_hash.is_empty() {
|
||||
String::new()
|
||||
} else {
|
||||
format!(" | Commit: {}", run.commit_hash)
|
||||
};
|
||||
println!(
|
||||
"Run: {} | Suite: {} | Model: {}{}",
|
||||
run.run_id, run.suite_id, run.model, commit_suffix
|
||||
);
|
||||
println!(
|
||||
"Pass rate: {:.1}% | Avg score: {:.3} | Tasks: {}/{} | Cost: ${:.4} | Time: {:.1}s",
|
||||
run.pass_rate * 100.0,
|
||||
run.avg_score,
|
||||
run.completed_tasks,
|
||||
run.total_tasks,
|
||||
run.total_cost_usd,
|
||||
run.total_wall_time_ms as f64 / 1000.0,
|
||||
);
|
||||
println!();
|
||||
|
||||
// Header
|
||||
println!(
|
||||
"{:<30} {:>6} {:>7} {:>8} {:>10} {:>6} {:>8}",
|
||||
"Task ID", "Score", "Label", "Tokens", "Cost", "Turns", "Time"
|
||||
);
|
||||
println!("{}", "-".repeat(80));
|
||||
|
||||
for task in tasks {
|
||||
let total_tokens = task.trace.input_tokens + task.trace.output_tokens;
|
||||
let task_id_display = if task.task_id.len() > 28 {
|
||||
let truncated: String = task.task_id.chars().take(25).collect();
|
||||
format!("{truncated}...")
|
||||
} else {
|
||||
task.task_id.clone()
|
||||
};
|
||||
println!(
|
||||
"{:<30} {:>6.3} {:>7} {:>8} {:>10.4} {:>6} {:>7.1}s",
|
||||
task_id_display,
|
||||
task.score.value,
|
||||
task.score.label,
|
||||
total_tokens,
|
||||
task.trace.estimated_cost_usd,
|
||||
task.trace.turns,
|
||||
task.trace.wall_time_ms as f64 / 1000.0,
|
||||
);
|
||||
}
|
||||
println!();
|
||||
}
|
||||
|
||||
#[cfg(test)]
|
||||
mod tests {
|
||||
use super::*;
|
||||
|
||||
#[test]
|
||||
fn test_run_result_from_tasks() {
|
||||
let tasks = vec![
|
||||
TaskResult {
|
||||
task_id: "t1".to_string(),
|
||||
suite_id: "custom".to_string(),
|
||||
score: BenchScore {
|
||||
value: 1.0,
|
||||
label: "pass".to_string(),
|
||||
details: None,
|
||||
},
|
||||
trace: Trace {
|
||||
wall_time_ms: 1000,
|
||||
llm_calls: 2,
|
||||
input_tokens: 100,
|
||||
output_tokens: 50,
|
||||
estimated_cost_usd: 0.01,
|
||||
tool_calls: vec![],
|
||||
turns: 1,
|
||||
hit_iteration_limit: false,
|
||||
hit_timeout: false,
|
||||
},
|
||||
response: "answer".to_string(),
|
||||
started_at: Utc::now(),
|
||||
finished_at: Utc::now(),
|
||||
config_label: "default".to_string(),
|
||||
error: None,
|
||||
},
|
||||
TaskResult {
|
||||
task_id: "t2".to_string(),
|
||||
suite_id: "custom".to_string(),
|
||||
score: BenchScore {
|
||||
value: 0.0,
|
||||
label: "fail".to_string(),
|
||||
details: Some("wrong".to_string()),
|
||||
},
|
||||
trace: Trace {
|
||||
wall_time_ms: 2000,
|
||||
llm_calls: 3,
|
||||
input_tokens: 200,
|
||||
output_tokens: 100,
|
||||
estimated_cost_usd: 0.02,
|
||||
tool_calls: vec![],
|
||||
turns: 2,
|
||||
hit_iteration_limit: false,
|
||||
hit_timeout: false,
|
||||
},
|
||||
response: "wrong answer".to_string(),
|
||||
started_at: Utc::now(),
|
||||
finished_at: Utc::now(),
|
||||
config_label: "default".to_string(),
|
||||
error: None,
|
||||
},
|
||||
];
|
||||
|
||||
let run = RunResult::from_tasks(
|
||||
Uuid::new_v4(),
|
||||
"custom",
|
||||
"default",
|
||||
"test-model",
|
||||
"abc1234",
|
||||
2,
|
||||
&tasks,
|
||||
Utc::now(),
|
||||
);
|
||||
|
||||
assert_eq!(run.pass_rate, 0.5);
|
||||
assert_eq!(run.avg_score, 0.5);
|
||||
assert_eq!(run.total_tasks, 2);
|
||||
assert_eq!(run.completed_tasks, 2);
|
||||
assert!((run.total_cost_usd - 0.03).abs() < f64::EPSILON);
|
||||
assert_eq!(run.total_wall_time_ms, 3000);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_jsonl_roundtrip() {
|
||||
let dir = tempfile::tempdir().expect("temp dir");
|
||||
let path = dir.path().join("tasks.jsonl");
|
||||
|
||||
let result = TaskResult {
|
||||
task_id: "round-trip-test".to_string(),
|
||||
suite_id: "custom".to_string(),
|
||||
score: BenchScore::pass(),
|
||||
trace: Trace {
|
||||
wall_time_ms: 500,
|
||||
llm_calls: 1,
|
||||
input_tokens: 10,
|
||||
output_tokens: 5,
|
||||
estimated_cost_usd: 0.001,
|
||||
tool_calls: vec![],
|
||||
turns: 1,
|
||||
hit_iteration_limit: false,
|
||||
hit_timeout: false,
|
||||
},
|
||||
response: "hello".to_string(),
|
||||
started_at: Utc::now(),
|
||||
finished_at: Utc::now(),
|
||||
config_label: "test".to_string(),
|
||||
error: None,
|
||||
};
|
||||
|
||||
append_task_result(&path, &result).expect("append");
|
||||
append_task_result(&path, &result).expect("append");
|
||||
|
||||
let loaded = read_task_results(&path).expect("read");
|
||||
assert_eq!(loaded.len(), 2);
|
||||
assert_eq!(loaded[0].task_id, "round-trip-test");
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_completed_task_ids() {
|
||||
let dir = tempfile::tempdir().expect("temp dir");
|
||||
let path = dir.path().join("tasks.jsonl");
|
||||
|
||||
let result = TaskResult {
|
||||
task_id: "unique-id-1".to_string(),
|
||||
suite_id: "custom".to_string(),
|
||||
score: BenchScore::pass(),
|
||||
trace: Trace {
|
||||
wall_time_ms: 100,
|
||||
llm_calls: 1,
|
||||
input_tokens: 10,
|
||||
output_tokens: 5,
|
||||
estimated_cost_usd: 0.0,
|
||||
tool_calls: vec![],
|
||||
turns: 1,
|
||||
hit_iteration_limit: false,
|
||||
hit_timeout: false,
|
||||
},
|
||||
response: "x".to_string(),
|
||||
started_at: Utc::now(),
|
||||
finished_at: Utc::now(),
|
||||
config_label: "test".to_string(),
|
||||
error: None,
|
||||
};
|
||||
append_task_result(&path, &result).expect("append");
|
||||
|
||||
let ids = completed_task_ids(&path).expect("ids");
|
||||
assert!(ids.contains("unique-id-1"));
|
||||
assert!(!ids.contains("unique-id-2"));
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_write_task_results_overwrites() {
|
||||
let dir = tempfile::tempdir().expect("temp dir");
|
||||
let path = dir.path().join("tasks.jsonl");
|
||||
|
||||
// Write initial "pending" result via append
|
||||
let pending = TaskResult {
|
||||
task_id: "t1".to_string(),
|
||||
suite_id: "spot".to_string(),
|
||||
score: BenchScore {
|
||||
value: 0.0,
|
||||
label: "pending".to_string(),
|
||||
details: None,
|
||||
},
|
||||
trace: Trace {
|
||||
wall_time_ms: 100,
|
||||
llm_calls: 1,
|
||||
input_tokens: 10,
|
||||
output_tokens: 5,
|
||||
estimated_cost_usd: 0.001,
|
||||
tool_calls: vec![],
|
||||
turns: 1,
|
||||
hit_iteration_limit: false,
|
||||
hit_timeout: false,
|
||||
},
|
||||
response: "42".to_string(),
|
||||
started_at: Utc::now(),
|
||||
finished_at: Utc::now(),
|
||||
config_label: "default".to_string(),
|
||||
error: None,
|
||||
};
|
||||
append_task_result(&path, &pending).expect("append");
|
||||
|
||||
// Verify pending score
|
||||
let before = read_task_results(&path).expect("read");
|
||||
assert_eq!(before.len(), 1);
|
||||
assert_eq!(before[0].score.label, "pending");
|
||||
|
||||
// Overwrite with scored result
|
||||
let mut scored = pending;
|
||||
scored.score = BenchScore::pass();
|
||||
write_task_results(&path, &[scored]).expect("write");
|
||||
|
||||
// Verify scored result replaced pending
|
||||
let after = read_task_results(&path).expect("read");
|
||||
assert_eq!(after.len(), 1);
|
||||
assert_eq!(after[0].score.label, "pass");
|
||||
assert_eq!(after[0].score.value, 1.0);
|
||||
}
|
||||
}
|
||||
@@ -0,0 +1,548 @@
|
||||
use std::collections::{HashMap, HashSet};
|
||||
use std::sync::Arc;
|
||||
use std::time::Instant;
|
||||
|
||||
use chrono::Utc;
|
||||
use tokio::sync::Mutex;
|
||||
use uuid::Uuid;
|
||||
|
||||
use ironclaw::agent::{Agent, AgentDeps};
|
||||
use ironclaw::channels::{ChannelManager, IncomingMessage};
|
||||
use ironclaw::config::AgentConfig;
|
||||
use ironclaw::llm::LlmProvider;
|
||||
use ironclaw::safety::SafetyLayer;
|
||||
use ironclaw::tools::ToolRegistry;
|
||||
|
||||
use crate::channel::BenchChannel;
|
||||
use crate::config::{BenchConfig, MatrixEntry};
|
||||
use crate::error::BenchError;
|
||||
use crate::instrumented_llm::InstrumentedLlm;
|
||||
use crate::results::{
|
||||
RunResult, TaskResult, Trace, append_task_result, completed_task_ids, run_dir, run_json_path,
|
||||
tasks_jsonl_path, write_run_result, write_task_results,
|
||||
};
|
||||
use crate::suite::{BenchSuite, BenchTask, ConversationTurn, TaskSubmission, TurnRole};
|
||||
|
||||
/// Parameters for running a single task in isolation.
|
||||
struct TaskRunParams<'a> {
|
||||
task: &'a BenchTask,
|
||||
suite_id: &'a str,
|
||||
config_label: &'a str,
|
||||
llm: Arc<dyn LlmProvider>,
|
||||
safety: Arc<SafetyLayer>,
|
||||
timeout: std::time::Duration,
|
||||
additional_tools: &'a [Arc<dyn ironclaw::tools::Tool>],
|
||||
}
|
||||
|
||||
/// Orchestrates benchmark execution: loads tasks, runs agent per task,
|
||||
/// scores results, writes JSONL output.
|
||||
pub struct BenchRunner {
|
||||
suite: Arc<dyn BenchSuite>,
|
||||
config: BenchConfig,
|
||||
llm: Arc<dyn LlmProvider>,
|
||||
safety: Arc<SafetyLayer>,
|
||||
}
|
||||
|
||||
impl BenchRunner {
|
||||
pub fn new(
|
||||
suite: Box<dyn BenchSuite>,
|
||||
config: BenchConfig,
|
||||
llm: Arc<dyn LlmProvider>,
|
||||
safety: Arc<SafetyLayer>,
|
||||
) -> Self {
|
||||
Self {
|
||||
suite: Arc::from(suite),
|
||||
config,
|
||||
llm,
|
||||
safety,
|
||||
}
|
||||
}
|
||||
|
||||
/// Run the benchmark for one matrix entry.
|
||||
///
|
||||
/// Returns the run_id for result retrieval.
|
||||
pub async fn run(
|
||||
&self,
|
||||
matrix: &MatrixEntry,
|
||||
sample: Option<usize>,
|
||||
task_filter: Option<&[String]>,
|
||||
tag_filter: Option<&[String]>,
|
||||
resume_run_id: Option<Uuid>,
|
||||
) -> Result<Uuid, BenchError> {
|
||||
let run_id = resume_run_id.unwrap_or_else(Uuid::new_v4);
|
||||
let results_base = &self.config.results_dir;
|
||||
let dir = run_dir(results_base, run_id);
|
||||
std::fs::create_dir_all(&dir)?;
|
||||
|
||||
let jsonl_path = tasks_jsonl_path(results_base, run_id);
|
||||
let json_path = run_json_path(results_base, run_id);
|
||||
|
||||
// Load completed task IDs for resume support
|
||||
let completed: HashSet<String> = if resume_run_id.is_some() {
|
||||
completed_task_ids(&jsonl_path)?
|
||||
} else {
|
||||
HashSet::new()
|
||||
};
|
||||
|
||||
if !completed.is_empty() {
|
||||
tracing::info!(
|
||||
"Resuming run {}: {} tasks already completed",
|
||||
run_id,
|
||||
completed.len()
|
||||
);
|
||||
}
|
||||
|
||||
// Load all tasks once (used for both execution and scoring)
|
||||
let all_tasks = self.suite.load_tasks().await?;
|
||||
let task_index: HashMap<String, BenchTask> = all_tasks
|
||||
.iter()
|
||||
.map(|t| (t.id.clone(), t.clone()))
|
||||
.collect();
|
||||
|
||||
// Filter tasks for execution
|
||||
let mut tasks = all_tasks;
|
||||
|
||||
if let Some(ids) = task_filter {
|
||||
let id_set: HashSet<&str> = ids.iter().map(|s| s.as_str()).collect();
|
||||
tasks.retain(|t| id_set.contains(t.id.as_str()));
|
||||
}
|
||||
|
||||
if let Some(tags) = tag_filter {
|
||||
let tag_set: HashSet<&str> = tags.iter().map(|s| s.as_str()).collect();
|
||||
tasks.retain(|t| t.tags.iter().any(|tag| tag_set.contains(tag.as_str())));
|
||||
}
|
||||
|
||||
// Filter out already-completed tasks
|
||||
tasks.retain(|t| !completed.contains(&t.id));
|
||||
|
||||
// Sample if requested
|
||||
if let Some(n) = sample {
|
||||
tasks.truncate(n);
|
||||
}
|
||||
|
||||
let total_tasks = tasks.len() + completed.len();
|
||||
let model_label = matrix.model.as_deref().unwrap_or(self.llm.model_name());
|
||||
let commit_hash = git_short_hash();
|
||||
tracing::info!(
|
||||
"[{} @ {}] Running {} tasks for suite '{}' (run: {})",
|
||||
model_label,
|
||||
commit_hash,
|
||||
tasks.len(),
|
||||
self.suite.id(),
|
||||
run_id
|
||||
);
|
||||
|
||||
let started_at = Utc::now();
|
||||
let all_results: Arc<Mutex<Vec<TaskResult>>> =
|
||||
Arc::new(Mutex::new(Vec::with_capacity(tasks.len())));
|
||||
|
||||
if self.config.parallelism <= 1 {
|
||||
// Sequential execution
|
||||
let additional_tools = self.suite.additional_tools();
|
||||
for (i, task) in tasks.iter().enumerate() {
|
||||
tracing::info!(
|
||||
"[{}/{}] Running task: {}",
|
||||
i + 1 + completed.len(),
|
||||
total_tasks,
|
||||
task.id
|
||||
);
|
||||
if let Err(e) = self.suite.setup_task(task).await {
|
||||
tracing::warn!("setup_task failed for {}: {}", task.id, e);
|
||||
let result = make_error_result(
|
||||
task,
|
||||
self.suite.id(),
|
||||
&matrix.label,
|
||||
Utc::now(),
|
||||
&format!("setup_task failed: {e}"),
|
||||
);
|
||||
append_task_result(&jsonl_path, &result)?;
|
||||
all_results.lock().await.push(result);
|
||||
continue;
|
||||
}
|
||||
let params = TaskRunParams {
|
||||
task,
|
||||
suite_id: self.suite.id(),
|
||||
config_label: &matrix.label,
|
||||
llm: Arc::clone(&self.llm),
|
||||
safety: Arc::clone(&self.safety),
|
||||
timeout: task.timeout.unwrap_or(self.config.task_timeout),
|
||||
additional_tools: &additional_tools,
|
||||
};
|
||||
let result = run_task_isolated(params).await;
|
||||
if let Err(e) = self.suite.teardown_task(task).await {
|
||||
tracing::warn!("teardown_task failed for {}: {}", task.id, e);
|
||||
}
|
||||
append_task_result(&jsonl_path, &result)?;
|
||||
all_results.lock().await.push(result);
|
||||
}
|
||||
} else {
|
||||
// Parallel execution with bounded concurrency
|
||||
let semaphore = Arc::new(tokio::sync::Semaphore::new(self.config.parallelism));
|
||||
let shared_tools: Arc<[Arc<dyn ironclaw::tools::Tool>]> =
|
||||
Arc::from(self.suite.additional_tools());
|
||||
|
||||
let mut handles = Vec::new();
|
||||
for (i, task) in tasks.into_iter().enumerate() {
|
||||
let sem = Arc::clone(&semaphore);
|
||||
let suite = Arc::clone(&self.suite);
|
||||
let config_label = matrix.label.clone();
|
||||
let llm = Arc::clone(&self.llm);
|
||||
let safety = Arc::clone(&self.safety);
|
||||
let timeout = task.timeout.unwrap_or(self.config.task_timeout);
|
||||
let results_ref = Arc::clone(&all_results);
|
||||
let completed_count = completed.len();
|
||||
let total = total_tasks;
|
||||
let additional_tools = Arc::clone(&shared_tools);
|
||||
|
||||
handles.push(tokio::spawn(async move {
|
||||
let _permit = match sem.acquire().await {
|
||||
Ok(p) => p,
|
||||
Err(_) => {
|
||||
tracing::error!("Semaphore closed for task {}", task.id);
|
||||
return;
|
||||
}
|
||||
};
|
||||
tracing::info!(
|
||||
"[{}/{}] Running task: {}",
|
||||
i + 1 + completed_count,
|
||||
total,
|
||||
task.id
|
||||
);
|
||||
if let Err(e) = suite.setup_task(&task).await {
|
||||
tracing::warn!("setup_task failed for {}: {}", task.id, e);
|
||||
let result = make_error_result(
|
||||
&task,
|
||||
suite.id(),
|
||||
&config_label,
|
||||
Utc::now(),
|
||||
&format!("setup_task failed: {e}"),
|
||||
);
|
||||
results_ref.lock().await.push(result);
|
||||
return;
|
||||
}
|
||||
let suite_id = suite.id().to_string();
|
||||
let params = TaskRunParams {
|
||||
task: &task,
|
||||
suite_id: &suite_id,
|
||||
config_label: &config_label,
|
||||
llm,
|
||||
safety,
|
||||
timeout,
|
||||
additional_tools: &additional_tools,
|
||||
};
|
||||
let result = run_task_isolated(params).await;
|
||||
if let Err(e) = suite.teardown_task(&task).await {
|
||||
tracing::warn!("teardown_task failed for {}: {}", task.id, e);
|
||||
}
|
||||
results_ref.lock().await.push(result);
|
||||
}));
|
||||
}
|
||||
|
||||
for handle in handles {
|
||||
if let Err(e) = handle.await {
|
||||
tracing::error!("Task panicked: {}", e);
|
||||
}
|
||||
}
|
||||
|
||||
// Write all results to JSONL after parallel execution completes.
|
||||
// This avoids the race condition of concurrent file appends.
|
||||
let results = all_results.lock().await;
|
||||
for result in results.iter() {
|
||||
append_task_result(&jsonl_path, result)?;
|
||||
}
|
||||
}
|
||||
|
||||
// Score all results using the cached task index
|
||||
let results = all_results.lock().await;
|
||||
let mut scored: Vec<TaskResult> = Vec::with_capacity(results.len());
|
||||
for result in results.iter() {
|
||||
if let Some(task) = task_index.get(&result.task_id) {
|
||||
let submission = TaskSubmission {
|
||||
response: result.response.clone(),
|
||||
conversation: vec![],
|
||||
tool_calls: result
|
||||
.trace
|
||||
.tool_calls
|
||||
.iter()
|
||||
.map(|tc| tc.name.clone())
|
||||
.collect(),
|
||||
error: result.error.clone(),
|
||||
};
|
||||
match self.suite.score(task, &submission).await {
|
||||
Ok(score) => {
|
||||
let mut scored_result = result.clone();
|
||||
scored_result.score = score;
|
||||
scored.push(scored_result);
|
||||
}
|
||||
Err(e) => {
|
||||
tracing::warn!("Scoring failed for {}: {}", result.task_id, e);
|
||||
scored.push(result.clone());
|
||||
}
|
||||
}
|
||||
} else {
|
||||
scored.push(result.clone());
|
||||
}
|
||||
}
|
||||
|
||||
// Combine with any previously completed results for the aggregate
|
||||
let mut all_for_aggregate = crate::results::read_task_results(&jsonl_path)?;
|
||||
// De-duplicate (prefer the newer scored versions)
|
||||
let scored_ids: HashSet<String> = scored.iter().map(|r| r.task_id.clone()).collect();
|
||||
all_for_aggregate.retain(|r| !scored_ids.contains(&r.task_id));
|
||||
all_for_aggregate.extend(scored);
|
||||
|
||||
// Rewrite JSONL with scored results so `results` command shows final scores
|
||||
write_task_results(&jsonl_path, &all_for_aggregate)?;
|
||||
|
||||
let model_name = matrix.model.as_deref().unwrap_or(self.llm.model_name());
|
||||
|
||||
let run_result = RunResult::from_tasks(
|
||||
run_id,
|
||||
self.suite.id(),
|
||||
&matrix.label,
|
||||
model_name,
|
||||
&commit_hash,
|
||||
total_tasks,
|
||||
&all_for_aggregate,
|
||||
started_at,
|
||||
);
|
||||
|
||||
write_run_result(&json_path, &run_result)?;
|
||||
|
||||
tracing::info!(
|
||||
"[{} @ {}] Run {} complete: {:.1}% pass rate, {:.3} avg score, ${:.4} cost",
|
||||
model_name,
|
||||
commit_hash,
|
||||
run_id,
|
||||
run_result.pass_rate * 100.0,
|
||||
run_result.avg_score,
|
||||
run_result.total_cost_usd,
|
||||
);
|
||||
|
||||
Ok(run_id)
|
||||
}
|
||||
}
|
||||
|
||||
/// Run a single benchmark task in complete isolation.
|
||||
///
|
||||
/// Creates a fresh Agent + BenchChannel + InstrumentedLlm for the task,
|
||||
/// injects the prompt, waits for the response, and returns the result.
|
||||
///
|
||||
/// # Current limitations
|
||||
///
|
||||
/// - **Single-turn only**: After the first assistant response, `/quit` is sent.
|
||||
/// Multi-turn suites (e.g., Tau-bench's `next_user_message()`) are not yet wired.
|
||||
/// - **Resources not injected**: `BenchTask.resources` (e.g., GAIA file attachments)
|
||||
/// are not included in the prompt or made available via the workspace.
|
||||
/// - **Conversation not captured**: `TaskSubmission.conversation` is always empty,
|
||||
/// which prevents multi-turn scoring hooks from working.
|
||||
async fn run_task_isolated(params: TaskRunParams<'_>) -> TaskResult {
|
||||
let TaskRunParams {
|
||||
task,
|
||||
suite_id,
|
||||
config_label,
|
||||
llm,
|
||||
safety,
|
||||
timeout,
|
||||
additional_tools,
|
||||
} = params;
|
||||
|
||||
let started_at = Utc::now();
|
||||
let start = Instant::now();
|
||||
|
||||
// Wrap LLM with instrumentation
|
||||
let instrumented = Arc::new(InstrumentedLlm::new(llm));
|
||||
|
||||
// Create bench channel
|
||||
let (bench_channel, msg_tx) = BenchChannel::new();
|
||||
let capture = bench_channel.capture();
|
||||
|
||||
// Build tool registry
|
||||
let tools = Arc::new(ToolRegistry::new());
|
||||
tools.register_builtin_tools();
|
||||
|
||||
// Register additional suite-specific tools
|
||||
for tool in additional_tools {
|
||||
tools.register(Arc::clone(tool)).await;
|
||||
}
|
||||
|
||||
// Build agent config (minimal, headless)
|
||||
let agent_config = AgentConfig {
|
||||
name: format!("bench-{}", task.id),
|
||||
max_parallel_jobs: 1,
|
||||
job_timeout: timeout,
|
||||
stuck_threshold: timeout,
|
||||
repair_check_interval: timeout + std::time::Duration::from_secs(999),
|
||||
max_repair_attempts: 0,
|
||||
use_planning: false,
|
||||
session_idle_timeout: timeout,
|
||||
allow_local_tools: true,
|
||||
max_cost_per_day_cents: None,
|
||||
max_actions_per_hour: None,
|
||||
};
|
||||
|
||||
let cost_guard = Arc::new(ironclaw::agent::cost_guard::CostGuard::new(
|
||||
ironclaw::agent::cost_guard::CostGuardConfig::default(),
|
||||
));
|
||||
|
||||
let deps = AgentDeps {
|
||||
store: None,
|
||||
llm: instrumented.clone() as Arc<dyn LlmProvider>,
|
||||
cheap_llm: None,
|
||||
safety,
|
||||
tools,
|
||||
workspace: None,
|
||||
extension_manager: None,
|
||||
hooks: Arc::new(ironclaw::hooks::HookRegistry::new()),
|
||||
cost_guard,
|
||||
};
|
||||
|
||||
let mut channels = ChannelManager::new();
|
||||
channels.add(Box::new(bench_channel));
|
||||
|
||||
let agent = Agent::new(agent_config, deps, channels, None, None, None, None);
|
||||
|
||||
// Build the full prompt with context
|
||||
let full_prompt = if let Some(ref ctx) = task.context {
|
||||
format!("{}\n\nContext:\n{}", task.prompt, ctx)
|
||||
} else {
|
||||
task.prompt.clone()
|
||||
};
|
||||
|
||||
// Inject the task prompt
|
||||
let incoming = IncomingMessage::new("bench", "bench-user", &full_prompt);
|
||||
if msg_tx.send(incoming).await.is_err() {
|
||||
return make_error_result(
|
||||
task,
|
||||
suite_id,
|
||||
config_label,
|
||||
started_at,
|
||||
"failed to send prompt",
|
||||
);
|
||||
}
|
||||
|
||||
// Record prompt in conversation
|
||||
{
|
||||
let mut cap = capture.lock().await;
|
||||
cap.conversation.push(ConversationTurn {
|
||||
role: TurnRole::User,
|
||||
content: full_prompt,
|
||||
});
|
||||
}
|
||||
|
||||
// Run agent with timeout.
|
||||
// After the first response, send /quit to end the session.
|
||||
let quit_tx = msg_tx.clone();
|
||||
let capture_for_quit = Arc::clone(&capture);
|
||||
let quit_handle = tokio::spawn(async move {
|
||||
// Poll for first response
|
||||
loop {
|
||||
tokio::time::sleep(std::time::Duration::from_millis(100)).await;
|
||||
let cap = capture_for_quit.lock().await;
|
||||
if !cap.responses.is_empty() {
|
||||
break;
|
||||
}
|
||||
}
|
||||
// Give a small grace period for any final status events
|
||||
tokio::time::sleep(std::time::Duration::from_millis(200)).await;
|
||||
let quit = IncomingMessage::new("bench", "bench-user", "/quit");
|
||||
let _ = quit_tx.send(quit).await;
|
||||
});
|
||||
|
||||
let agent_result = tokio::time::timeout(timeout, agent.run()).await;
|
||||
|
||||
quit_handle.abort();
|
||||
|
||||
let wall_time = start.elapsed();
|
||||
let hit_timeout = agent_result.is_err();
|
||||
|
||||
if let Ok(Err(e)) = &agent_result {
|
||||
tracing::warn!("Agent error for task {}: {}", task.id, e);
|
||||
}
|
||||
|
||||
// Extract results from capture
|
||||
let cap = capture.lock().await;
|
||||
let response = cap.responses.last().cloned().unwrap_or_default();
|
||||
|
||||
let trace = Trace {
|
||||
wall_time_ms: wall_time.as_millis() as u64,
|
||||
llm_calls: instrumented.call_count(),
|
||||
input_tokens: instrumented.total_input_tokens(),
|
||||
output_tokens: instrumented.total_output_tokens(),
|
||||
estimated_cost_usd: instrumented.estimated_cost(),
|
||||
tool_calls: cap.tool_calls.clone(),
|
||||
turns: cap.responses.len() as u32,
|
||||
hit_iteration_limit: false,
|
||||
hit_timeout,
|
||||
};
|
||||
|
||||
let error = if hit_timeout {
|
||||
Some(format!("timeout after {}s", timeout.as_secs()))
|
||||
} else if let Ok(Err(e)) = &agent_result {
|
||||
Some(e.to_string())
|
||||
} else {
|
||||
None
|
||||
};
|
||||
|
||||
TaskResult {
|
||||
task_id: task.id.clone(),
|
||||
suite_id: suite_id.to_string(),
|
||||
score: crate::suite::BenchScore {
|
||||
value: 0.0,
|
||||
label: "pending".to_string(),
|
||||
details: None,
|
||||
},
|
||||
trace,
|
||||
response,
|
||||
started_at,
|
||||
finished_at: Utc::now(),
|
||||
config_label: config_label.to_string(),
|
||||
error,
|
||||
}
|
||||
}
|
||||
|
||||
fn make_error_result(
|
||||
task: &BenchTask,
|
||||
suite_id: &str,
|
||||
config_label: &str,
|
||||
started_at: chrono::DateTime<Utc>,
|
||||
reason: &str,
|
||||
) -> TaskResult {
|
||||
TaskResult {
|
||||
task_id: task.id.clone(),
|
||||
suite_id: suite_id.to_string(),
|
||||
score: crate::suite::BenchScore::fail(reason),
|
||||
trace: Trace {
|
||||
wall_time_ms: 0,
|
||||
llm_calls: 0,
|
||||
input_tokens: 0,
|
||||
output_tokens: 0,
|
||||
estimated_cost_usd: 0.0,
|
||||
tool_calls: vec![],
|
||||
turns: 0,
|
||||
hit_iteration_limit: false,
|
||||
hit_timeout: false,
|
||||
},
|
||||
response: String::new(),
|
||||
started_at,
|
||||
finished_at: Utc::now(),
|
||||
config_label: config_label.to_string(),
|
||||
error: Some(reason.to_string()),
|
||||
}
|
||||
}
|
||||
|
||||
/// Get the short git commit hash of HEAD, or "unknown" if not in a repo.
|
||||
fn git_short_hash() -> String {
|
||||
std::process::Command::new("git")
|
||||
.args(["rev-parse", "--short", "HEAD"])
|
||||
.output()
|
||||
.ok()
|
||||
.and_then(|o| {
|
||||
if o.status.success() {
|
||||
Some(String::from_utf8_lossy(&o.stdout).trim().to_string())
|
||||
} else {
|
||||
None
|
||||
}
|
||||
})
|
||||
.unwrap_or_else(|| "unknown".to_string())
|
||||
}
|
||||
@@ -0,0 +1,113 @@
|
||||
use regex::Regex;
|
||||
|
||||
use crate::suite::BenchScore;
|
||||
|
||||
/// Normalize an answer string for comparison: lowercase, trim whitespace,
|
||||
/// strip trailing punctuation, collapse internal whitespace.
|
||||
pub fn normalize_answer(s: &str) -> String {
|
||||
let trimmed = s.trim().to_lowercase();
|
||||
let collapsed: String = trimmed.split_whitespace().collect::<Vec<_>>().join(" ");
|
||||
collapsed.trim_end_matches(['.', ',', ';', '!']).to_string()
|
||||
}
|
||||
|
||||
/// Exact match after normalization.
|
||||
pub fn exact_match(expected: &str, actual: &str) -> BenchScore {
|
||||
let norm_expected = normalize_answer(expected);
|
||||
let norm_actual = normalize_answer(actual);
|
||||
if norm_expected == norm_actual {
|
||||
BenchScore::pass()
|
||||
} else {
|
||||
BenchScore::fail(format!(
|
||||
"expected \"{norm_expected}\", got \"{norm_actual}\""
|
||||
))
|
||||
}
|
||||
}
|
||||
|
||||
/// Check if the actual answer contains the expected substring (normalized).
|
||||
pub fn contains_match(expected_substring: &str, actual: &str) -> BenchScore {
|
||||
let norm_expected = normalize_answer(expected_substring);
|
||||
let norm_actual = normalize_answer(actual);
|
||||
if norm_actual.contains(&norm_expected) {
|
||||
BenchScore::pass()
|
||||
} else {
|
||||
BenchScore::fail(format!("response does not contain \"{norm_expected}\""))
|
||||
}
|
||||
}
|
||||
|
||||
/// Check if the actual answer matches a regex pattern.
|
||||
pub fn regex_match(pattern: &str, actual: &str) -> BenchScore {
|
||||
match Regex::new(pattern) {
|
||||
Ok(re) => {
|
||||
if re.is_match(actual) {
|
||||
BenchScore::pass()
|
||||
} else {
|
||||
BenchScore::fail(format!("response does not match pattern /{pattern}/"))
|
||||
}
|
||||
}
|
||||
Err(e) => BenchScore::fail(format!("invalid regex pattern: {e}")),
|
||||
}
|
||||
}
|
||||
|
||||
#[cfg(test)]
|
||||
mod tests {
|
||||
use super::*;
|
||||
|
||||
#[test]
|
||||
fn test_normalize_answer() {
|
||||
assert_eq!(normalize_answer(" Hello World. "), "hello world");
|
||||
assert_eq!(normalize_answer("Yes!"), "yes");
|
||||
assert_eq!(normalize_answer("42"), "42");
|
||||
assert_eq!(normalize_answer(" "), "");
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_exact_match_pass() {
|
||||
let score = exact_match("Hello World", " hello world. ");
|
||||
assert_eq!(score.value, 1.0);
|
||||
assert_eq!(score.label, "pass");
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_exact_match_fail() {
|
||||
let score = exact_match("hello", "world");
|
||||
assert_eq!(score.value, 0.0);
|
||||
assert_eq!(score.label, "fail");
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_contains_match_pass() {
|
||||
let score = contains_match("world", "Hello World!");
|
||||
assert_eq!(score.value, 1.0);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_contains_match_fail() {
|
||||
let score = contains_match("xyz", "Hello World!");
|
||||
assert_eq!(score.value, 0.0);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_regex_match_pass() {
|
||||
let score = regex_match(r"\d{4}", "The year is 2024.");
|
||||
assert_eq!(score.value, 1.0);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_regex_match_fail() {
|
||||
let score = regex_match(r"\d{4}", "No numbers here.");
|
||||
assert_eq!(score.value, 0.0);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_regex_match_invalid_pattern() {
|
||||
let score = regex_match(r"[invalid", "anything");
|
||||
assert_eq!(score.value, 0.0);
|
||||
assert!(
|
||||
score
|
||||
.details
|
||||
.as_deref()
|
||||
.unwrap_or("")
|
||||
.contains("invalid regex")
|
||||
);
|
||||
}
|
||||
}
|
||||
@@ -0,0 +1,152 @@
|
||||
use std::sync::Arc;
|
||||
use std::time::Duration;
|
||||
|
||||
use async_trait::async_trait;
|
||||
|
||||
use crate::error::BenchError;
|
||||
|
||||
/// A single task in a benchmark suite.
|
||||
#[derive(Debug, Clone, serde::Serialize, serde::Deserialize)]
|
||||
pub struct BenchTask {
|
||||
pub id: String,
|
||||
pub prompt: String,
|
||||
#[serde(default)]
|
||||
pub context: Option<String>,
|
||||
#[serde(default)]
|
||||
pub resources: Vec<TaskResource>,
|
||||
#[serde(default)]
|
||||
pub tags: Vec<String>,
|
||||
#[serde(default)]
|
||||
pub expected_turns: Option<usize>,
|
||||
#[serde(default)]
|
||||
pub timeout: Option<Duration>,
|
||||
#[serde(default)]
|
||||
pub metadata: serde_json::Value,
|
||||
}
|
||||
|
||||
/// A resource attached to a benchmark task (file, URL, etc.).
|
||||
#[derive(Debug, Clone, serde::Serialize, serde::Deserialize)]
|
||||
pub struct TaskResource {
|
||||
pub name: String,
|
||||
pub path: String,
|
||||
#[serde(default)]
|
||||
pub resource_type: ResourceType,
|
||||
}
|
||||
|
||||
#[derive(Debug, Clone, Default, serde::Serialize, serde::Deserialize)]
|
||||
#[serde(rename_all = "snake_case")]
|
||||
pub enum ResourceType {
|
||||
#[default]
|
||||
File,
|
||||
Url,
|
||||
Directory,
|
||||
}
|
||||
|
||||
/// What the agent produced for scoring.
|
||||
#[derive(Debug, Clone)]
|
||||
pub struct TaskSubmission {
|
||||
pub response: String,
|
||||
pub conversation: Vec<ConversationTurn>,
|
||||
pub tool_calls: Vec<String>,
|
||||
pub error: Option<String>,
|
||||
}
|
||||
|
||||
/// A single turn in a multi-turn conversation.
|
||||
#[derive(Debug, Clone, serde::Serialize, serde::Deserialize)]
|
||||
pub struct ConversationTurn {
|
||||
pub role: TurnRole,
|
||||
pub content: String,
|
||||
}
|
||||
|
||||
#[derive(Debug, Clone, serde::Serialize, serde::Deserialize)]
|
||||
#[serde(rename_all = "snake_case")]
|
||||
pub enum TurnRole {
|
||||
User,
|
||||
Assistant,
|
||||
System,
|
||||
}
|
||||
|
||||
/// Score for a single task.
|
||||
#[derive(Debug, Clone, PartialEq, serde::Serialize, serde::Deserialize)]
|
||||
pub struct BenchScore {
|
||||
/// 0.0 to 1.0 (1.0 = perfect).
|
||||
pub value: f64,
|
||||
/// "pass" / "fail" / "partial".
|
||||
pub label: String,
|
||||
#[serde(default)]
|
||||
pub details: Option<String>,
|
||||
}
|
||||
|
||||
impl BenchScore {
|
||||
pub fn pass() -> Self {
|
||||
Self {
|
||||
value: 1.0,
|
||||
label: "pass".to_string(),
|
||||
details: None,
|
||||
}
|
||||
}
|
||||
|
||||
pub fn fail(details: impl Into<String>) -> Self {
|
||||
Self {
|
||||
value: 0.0,
|
||||
label: "fail".to_string(),
|
||||
details: Some(details.into()),
|
||||
}
|
||||
}
|
||||
|
||||
pub fn partial(value: f64, details: impl Into<String>) -> Self {
|
||||
Self {
|
||||
value: value.clamp(0.0, 1.0),
|
||||
label: "partial".to_string(),
|
||||
details: Some(details.into()),
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
/// Trait for benchmark suite adapters.
|
||||
///
|
||||
/// Each suite (GAIA, Tau-bench, custom, etc.) implements this trait
|
||||
/// to provide task loading, scoring, and optional lifecycle hooks.
|
||||
#[async_trait]
|
||||
pub trait BenchSuite: Send + Sync {
|
||||
/// Human-readable name (e.g., "GAIA Validation").
|
||||
fn name(&self) -> &str;
|
||||
|
||||
/// Machine ID (e.g., "gaia").
|
||||
fn id(&self) -> &str;
|
||||
|
||||
/// Load all tasks from the suite's data source.
|
||||
async fn load_tasks(&self) -> Result<Vec<BenchTask>, BenchError>;
|
||||
|
||||
/// Score the agent's submission against the expected answer.
|
||||
async fn score(
|
||||
&self,
|
||||
task: &BenchTask,
|
||||
submission: &TaskSubmission,
|
||||
) -> Result<BenchScore, BenchError>;
|
||||
|
||||
/// Optional: set up environment before running a task (clone repo, init DB, etc.).
|
||||
async fn setup_task(&self, _task: &BenchTask) -> Result<(), BenchError> {
|
||||
Ok(())
|
||||
}
|
||||
|
||||
/// Optional: tear down environment after a task completes.
|
||||
async fn teardown_task(&self, _task: &BenchTask) -> Result<(), BenchError> {
|
||||
Ok(())
|
||||
}
|
||||
|
||||
/// Optional: additional tools to register for this suite's tasks.
|
||||
fn additional_tools(&self) -> Vec<Arc<dyn ironclaw::tools::Tool>> {
|
||||
vec![]
|
||||
}
|
||||
|
||||
/// Multi-turn: generate next simulated user message based on conversation so far.
|
||||
/// Return `None` to end the conversation.
|
||||
async fn next_user_message(
|
||||
&self,
|
||||
_task: &BenchTask,
|
||||
_conversation: &[ConversationTurn],
|
||||
) -> Result<Option<String>, BenchError> {
|
||||
Ok(None)
|
||||
}
|
||||
}
|
||||
Reference in New Issue
Block a user