diff --git a/index.md b/index.md index 58870f8..4ae085d 100644 --- a/index.md +++ b/index.md @@ -95,6 +95,7 @@ See [https://github.com/chains-project/](https://github.com/orgs/chains-project/ ## Posts +- [JIT Tuning at Runtime using LLM Agent](llm-jit-agent/index.md) - [The Dependency Your Build Downloads That No Maven Tool Will Show You](maven-hermetic-builds-blind-spot.md) - [Avoiding stale dependency declarations via Claude's hook](ai-bump.md) - [Practical Agentic Software Supply Chain Security](agentic-supply-chain-security.md) diff --git a/llm-jit-agent/architecture.svg b/llm-jit-agent/architecture.svg new file mode 100644 index 0000000..0f2778a --- /dev/null +++ b/llm-jit-agent/architecture.svg @@ -0,0 +1,163 @@ + +Architecture: a new agent thread inside the JVM asks an LLM for C2 suggestions + + + + + + + + +JVM +java -XX:+AIJitAgent + + + + +existing + + + + + +Workload + + + + + + + + + + + + + + + + +C2 compiler +native code +from profiles + + + + + + + + + + + +profiles + + + +native code + + + + +new thread + + + + + +AIJitAgentThread +hidden JVM thread + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +1 +sample hot code + + + +2 +write profile + + + +3 +ask the LLM agent + + + +4 +validate suggestions + + + +5 +install directive + + + +6 +request recompile + + + +sample + + + +recompile +outside the JVM + + + + + +LLM agent +Claude Opus 5.5 +via claude -p +no tools + + + + + + + + + +system prompt + +profile.json + + + +suggestions for +performance +improvement + diff --git a/llm-jit-agent/index.md b/llm-jit-agent/index.md new file mode 100644 index 0000000..901d1bc --- /dev/null +++ b/llm-jit-agent/index.md @@ -0,0 +1,259 @@ +--- +title: "JIT Tuning at Runtime using LLM Agent" +--- + +# JIT Tuning at Runtime using LLM Agent + +HotSpot's optimizing JIT compiler, C2, decides performance improvements using fixed thresholds. +These thresholds suit Java programs in general. +Changing them affects every program that runs on the JVM. +But a specific program sometimes needs a specific exception. +We propose a proof of concept in which an LLM agent watches a running JVM, reads a profile of its hottest compiled code, and suggests C2 performance improvements. +On our workload, a single suggestion from Claude **nearly doubles the throughput of the benchmark code (1.97x)**, with no change to the program's results. + +## Problem + +C2 inlines a hot call only if the callee has at most `FreqInlineSize` = 325 bytes of bytecode. +The check counts every bytecode, including branches that almost never run. +Here is the hot callee in our workload, `step`, which moves a 3D point a small step along a path: + +```java +static Vec step(Vec p, double t) { // 481 bytes of bytecode in total + double x = p.x() + 0.5 * t, y = p.y() - 0.25 * t, z = p.z() * 0.999; + if (x * x + y * y + z * z < 1e6) { + return new Vec(x, y, z); // hot path: 68 bytes + } + // slow path: 413 bytes of arithmetic, never taken in this workload + ... +} + +static double trajectory(Vec base, int n) { + double acc = 0; + for (int i = 0; i < n; i++) { + Vec v = step(base, i * 1e-4); // 481 > 325: C2 does not inline step + acc += v.x() + v.y() * 0.5 + v.z() * 0.25; + } + return acc; +} +``` + +The step method is hot, but it is too large for C2 to inline into trajectory as its size exceeds the `FreqInlineSize` threshold of 325 bytes (=481 bytes). +However, 413 of those bytes are in the slow path, which never runs in this workload. +So C2 does not inline `step` into `trajectory`. +As a result, every iteration pays for a call and allocates a `Vec` on the heap. + +**Raising `FreqInlineSize` for the whole JVM also inlines every other large callee, which costs compile time and code cache.** +HotSpot already supports per-method exceptions through [compiler directives](https://openjdk.org/jeps/165). +But someone has to know, at runtime, which method needs which exception. + +## Solution + +We propose an LLM agent that watches a running JVM, reads a profile of its hottest compiled code, and suggests compiler directives to improve performance. + +C2 then recompiles the affected methods with these directives. +Since C2 still generates all the code, correctness is guaranteed. + +## Architecture + +Hand-drawn diagram. Inside the JVM, the workload sends profiles to the C2 compiler, which gives back native code. The new AIJitAgentThread samples the workload, sends the system prompt and profile.json to an LLM agent (Claude Opus 5.5 via claude -p) outside the JVM, gets suggestions for performance improvement back, validates them, installs a directive, and asks C2 to recompile. + +`-XX:+AIJitAgent` starts one extra thread inside the JVM, `AIJitAgentThread`. +Like C2's compiler threads, it is a hidden `JavaThread`. +It is never on the compile path, so C2 never waits for the LLM. + +While overseeing the main workload, the agent thread does the following in a loop: + +1. **Sleeps 3 s, then samples for 1 s.** Every 5 to 15 ms it briefly suspends each application thread and samples what methods are being executed. +2. **Writes a profile** of the hottest C2-compiled methods to `/tmp/aijit---profile.json`. +3. **Runs the agent command.** Our `aijit_agent.py` sends the profile to Claude Opus 5.5 through `claude -p`, with a fixed [system prompt](#system-prompt). +The main thread keeps running while the agent thinks. +The agent asynchronously returns a list of performance improvement hints, one per line. +4. **Validates every hint.** The JVM checks each line of the answer on its own. It rejects and logs any hint that fails a check. + 1. The syntax must be correct: a verb and two arguments. The JVM skips the `#` reason lines. + 2. The method suggested for improvement must be in this round's profile, as the JVM has a method pointer for it. +5. **Installs** the accepted hints as a compiler directive and **deoptimizes** the method's current C2 code, including its OSR code. +6. **Requests a tier-4 recompilation**, which C2 performs with the directive. + +## Agent Inputs: 1) the system prompt and 2) the profile + +### System prompt + +Every round uses the same system prompt. It also defines the two kinds of hint the agent may answer with: + +```text +You tune the HotSpot C2 JIT compiler for a running Java program. + +You get a JSON profile of the hottest C2-compiled methods, sampled while the +program runs. For each method: its share of samples, bytecode size, whether it +has loops, and every call site in the method and in the code C2 already +inlined into it, with profiled call counts, callee bytecode sizes, whether the +callee has loops, and whether C2 inlined the callee. Calls that C2 replaces +with hand-written code (intrinsics) are not listed. C2's default thresholds +are in c2_defaults. + +You may emit two kinds of hints, one per line: + inline force C2 to inline when compiling + unroll LoopUnrollLimit (max loop body size in IR nodes, + 8..600) when compiling + must be a "name" from "methods" and a "callee" listed in that +method's "calls", copied exactly. + +A hint never changes program results, but each one costs a recompilation and a +bad one can slow the program down. Only hint where the profile gives a concrete +reason, for example: +- a hot call site that C2 did not inline because the callee is above + FreqInlineSize; inlining removes call overhead and lets escape analysis + remove allocations of objects the callee returns; +- a hot loop whose body is likely above LoopUnrollLimit and is not + vectorizable (e.g. table lookups or loop-carried state). +Do not repeat anything in "applied_hints". Emitting no hints is fine. + +Before each hint write one line starting with '#' giving the reason. +Output nothing else: no prose, no markdown. +``` + +### Profile + +Here is an excerpt of [round 1's profile](rounds/round-1-profile.json) from results. + +```js +{ + "round": 1, // 1 to 3 + "total_samples": 199, // times the sampler finds a thread in optimized code + "c2_defaults": {...}, // C2's global thresholds, e.g. FreqInlineSize 325 + "applied_hints": [], // hints accepted in earlier rounds + "methods": [ // hottest C2-compiled methods + {"name": "Simulation::runTrajectory", // Class::method, as hints and directives name it + "signature": "()V", // JVM type descriptor + "samples": 42, // the sampler finds the method running 42 of 199 times + "bytecode_size": 26, // size of its bytecode + "has_loops": true, // the bytecode has a backward branch + "osr": true, // OSR code: a running loop jumps into it + "c2_code_bytes": 488, // machine code, inlined callees included + "invocations": 1, "backedges": 110599, // calls and loop iterations during warm-up + "calls": [ // calls in the method and in its inlined callees + {"caller": "Simulation::runTrajectory", "callee": "Simulation::trajectory", ..., "inlined": true}, + {"caller": "Simulation::trajectory", // contains the call: the method or an inlined callee + "callee": "Simulation::step", // declared target of the call + "count": 193976, // calls counted during warm-up + "callee_bytecode_size": 481, // what C2 compares with FreqInlineSize + "callee_has_loops": false, // the callee has a backward branch + "callee_c2_code_bytes": 368, // size of the callee's own C2 code + "inlined": false}, // C2 does not inline the callee here + ...]}, + ...] +} +``` + +> **[INFO]** The counts `count`, `invocations` and `backedges` come from the interpreter and the profiling C1 tier. They stop growing once a method runs as C2 code, so they describe warm-up, not the current rate. + +## Experimental Methodology + +We run the benchmark twice on the same JDK build, 60 s each: once without the agent (the baseline) and once with `-XX:+AIJitAgent`. +Both runs report the throughput of each benchmark method every second, in operations per second (ops/s). +We compare the steady-state throughput of the two runs, which is the mean of the last 30 s. +The benchmark, `Simulation`, runs two benchmark methods, each on its own thread: + +- **inline** (`runTrajectory`): calls `trajectory`, which moves a 3D point 2,000 small steps along a path by calling `step`. This is where C2's inlining limit bites. +- **control** (`runSumArray`): sums a 4,096-element `int` array. C2 already compiles this loop well, so the agent should leave it alone. + +Each benchmark method also checks every result against the one the interpreter computes at startup. +Wrong compiled code shows up as a mismatch. + +In the agent run, the agent thread goes through three rounds. +Each round is one `claude -p` call, which is a new Claude Code session. +The agent runs Claude from `/tmp`, so Claude Code saves the sessions under `~/.claude/projects/-tmp/`, one per round. +In each session, the system prompt and the profile go in, and the hints come back as the answer. +We publish each transcript and redact only the account email. + +### Experimental setup + +- **JDK:** OpenJDK 28-internal, mainline `master` at `3104115c2a0` plus our AIJitAgent patch, [commit `e8c1a26`](https://github.com/algomaster99/jdk/commit/e8c1a26cda5fd92abdcc6e33bea8ecd7a3f03ea4). Its README explains how to build and run it. +- **Machine:** a laptop with a 12th-gen Intel Core i7-1280P (performance and efficiency cores), Linux 6.8. + +## Results + +**TLDR: The agent suggests one hint, which the JVM accepts. The JVM recompiles the affected method with the hint, and throughput jumps from 64k to 127k ops/s (1.97x throughput).** + +Running the benchmark produces three rounds of agent suggestions, which the JVM accepts and applies. + +All the outputs can be found in the [rounds](rounds/) directory. + + +The table links each round's session transcript, and the prompt and answer on their own. + +| Round | Session | Prompt | Answer | Agent time | Cost | Hints | +|---|---|---|---|---|---|---| +| 1 | [`a4ed3ee7`](rounds/round-1-session.jsonl) | [profile](rounds/round-1-profile.json) | [answer](rounds/round-1-answer.txt) | 5.5 s | $0.032 | `inline Simulation::runTrajectory Simulation::step` | +| 2 | [`53a4b16e`](rounds/round-2-session.jsonl) | [profile](rounds/round-2-profile.json) | [answer](rounds/round-2-answer.txt) | 7.9 s | $0.036 | none | +| 3 | [`39e4d74d`](rounds/round-3-session.jsonl) | [profile](rounds/round-3-profile.json) | [answer](rounds/round-3-answer.txt) | 8.7 s | $0.064 | none | + +*Agent time* is how long the JVM waits for the agent command, as the JVM logs it. + +### Round 1: one hint + +In round 1, `step` is the second-hottest method, with 29% of the running time. +Under `runTrajectory`, its `calls` row reads `trajectory → step`: 193,976 calls, 481 bytes, `"inlined": false`. +Claude's answer: + +``` +# Simulation::step (481 bytes, above FreqInlineSize 325) is not inlined into trajectory despite 193976 calls; inlining it lets escape analysis remove the Simulation$Vec it allocates and returns +inline Simulation::runTrajectory Simulation::step +``` + +The JVM accepts compiler directives as JSON. +So the agent thread turns the hint into the following directive and installs it: + +```json +[{"match": "Simulation::runTrajectory", "c2": {"inline": ["+Simulation::step"]}}] +``` + +### Round 2: the hint takes effect, nothing more to do + +Round 2's profile shows the effect. +`step` is no longer a hot method of its own, and `trajectory → step` is now `"inlined": true`. +`runTrajectory`'s C2 code grows from 488 to 1,024 bytes, and the inline thread spends all of its running time in it. + +Claude's answer is a single comment and no hint: + +``` +# No hints: every hot call site is already inlined, and the remaining loops are either vectorizable (sumArray) or too large for unrolling to help (trajectory with step inlined). +``` + +### Round 3: same answer + +Round 3's profile is almost identical to round 2's, and Claude again declines: *"All hot call sites are already inlined, and no hot loop has a concrete reason for an unroll hint, so no hints this round."* +Its first reply contains only hidden reasoning and no visible text. +So the `claude` CLI automatically asks it to continue. +The second reply is the answer above, which is why this round costs about twice as much. + +### Where the time goes + +Stacked bars of each compiled method's share of running time. Round 1: the inline benchmark method's thread splits its time between runTrajectory 21% and step 29%, because C2 calls step rather than inlining it. The control benchmark method, runSumArray, has 50%. Rounds 2 and 3, after the hint: runTrajectory 50% and runSumArray 50%. + +### Throughput + +Throughput per second over 60 s. Inline benchmark method: the baseline stays near 64k ops/s. With the agent it jumps from about 65k to 131k ops/s right after the JVM accepts the hint at 9.5 s, and stays near 127k. Control benchmark method: about 1.0 million ops/s in the baseline and 1.5 million with the agent, from the first seconds on. + +| Benchmark method | Baseline (ops/s) | With the agent (ops/s) | Change | +|---|---|---|---| +| inline (`runTrajectory`) | 64,424 | 126,833 | **1.97x** | +| control (`runSumArray`) | 1,021,285 | 1,502,810 | +47% | + +The per-second numbers of both runs are in the [full output](rounds/run-output.txt) (absolute paths shortened). + +- **The hint pays off immediately.** The JVM accepts it 9.5 s after start. The second before runs at 65,015 ops/s. The second that contains the recompilation averages 103,387 ops/s, and the next one 131,515 ops/s. Throughput stays there for the rest of the run. +- **The program never waits for Claude.** The three rounds (shaded) take 5 to 9 s each and cost $0.13 in total. Both benchmark methods keep running throughout. +- **No result changes.** Both runs have 0 mismatches against the interpreter's results. + +> **[INFO]** The control benchmark method's +47% is noise. The agent never touches it, and the gap already exists in the first 9 s, before any hint. + +## Related work + +[A-JIT: Agentic Just-In-Time Software Construction](https://arxiv.org/abs/2609.10248) (Marron and Barr, 2026) + +## Takeaways + +- The AI agent suggests one performance improvement at runtime. It raises throughput **1.97x**. +- The agent runs asynchronously in its own thread so the application never waits for it. +- The architecture builds on HotSpot's profiling and JIT compilation. The agent only makes decisions, and C2 still generates all the code. diff --git a/llm-jit-agent/rounds/round-1-answer.txt b/llm-jit-agent/rounds/round-1-answer.txt new file mode 100644 index 0000000..99b226b --- /dev/null +++ b/llm-jit-agent/rounds/round-1-answer.txt @@ -0,0 +1,2 @@ +# Simulation::step (481 bytes, above FreqInlineSize 325) is not inlined into trajectory despite 193976 calls; inlining it lets escape analysis remove the Simulation$Vec it allocates and returns +inline Simulation::runTrajectory Simulation::step diff --git a/llm-jit-agent/rounds/round-1-profile.json b/llm-jit-agent/rounds/round-1-profile.json new file mode 100644 index 0000000..4518bc8 --- /dev/null +++ b/llm-jit-agent/rounds/round-1-profile.json @@ -0,0 +1,42 @@ +{ + "round": 1, + "total_samples": 199, + "c2_defaults": {"MaxInlineSize": 35, "FreqInlineSize": 325, "InlineSmallCode": 2500, "MaxInlineLevel": 15, "LoopUnrollLimit": 60, "LoopMaxUnroll": 32}, + "applied_hints": [], + "methods": [ + {"name": "Simulation::runSumArray", "signature": "()V", "samples": 100, "bytecode_size": 20, + "has_loops": true, "osr": true, "c2_code_bytes": 720, "invocations": 1, "backedges": 118896, + "calls": [ + {"caller": "Simulation::runSumArray", "callee": "Simulation::sumArray", "count": 57343, "callee_bytecode_size": 25, "callee_has_loops": true, "callee_c2_code_bytes": 592, "inlined": true}, + {"caller": "Simulation::runSumArray", "callee": "Simulation::record", "count": 57343, "callee_bytecode_size": 25, "callee_has_loops": false, "callee_c2_code_bytes": 288, "inlined": true}, + {"caller": "Simulation::record", "callee": "java.util.concurrent.atomic.LongAdder::increment", "count": 112269, "callee_bytecode_size": 6, "callee_has_loops": false, "callee_c2_code_bytes": 0, "inlined": true}, + {"caller": "java.util.concurrent.atomic.LongAdder::increment", "callee": "java.util.concurrent.atomic.LongAdder::add", "count": 112270, "callee_bytecode_size": 96, "callee_has_loops": false, "callee_c2_code_bytes": 208, "inlined": true}, + {"caller": "java.util.concurrent.atomic.LongAdder::add", "callee": "java.util.concurrent.atomic.Striped64::casBase", "count": 7819, "callee_bytecode_size": 10, "callee_has_loops": false, "callee_c2_code_bytes": 128, "inlined": true}, + {"caller": "java.lang.invoke.VarHandleGuards::guard_LJJ_Z", "callee": "java.lang.invoke.VarHandle::checkAccessModeThenIsDirect", "count": 7770, "callee_bytecode_size": 29, "callee_has_loops": false, "callee_c2_code_bytes": 0, "inlined": true}, + {"caller": "java.lang.invoke.VarHandleGuards::guard_LJJ_Z", "callee": "java.lang.invoke.VarForm::getMemberName", "count": 7770, "callee_bytecode_size": 38, "callee_has_loops": false, "callee_c2_code_bytes": 0, "inlined": true}, + {"caller": "java.lang.invoke.VarHandleLongs$FieldInstanceReadWrite::weakCompareAndSetRelease", "callee": "java.util.Objects::requireNonNull", "count": 7598, "callee_bytecode_size": 14, "callee_has_loops": false, "callee_c2_code_bytes": 104, "inlined": true}]}, + {"name": "Simulation::step", "signature": "(LSimulation$Vec;D)LSimulation$Vec;", "samples": 57, "bytecode_size": 481, + "has_loops": false, "osr": false, "c2_code_bytes": 368, "invocations": 14690, "backedges": 0, + "calls": [ + {"caller": "Simulation::step", "callee": "Simulation$Vec::x", "count": 14179, "callee_bytecode_size": 5, "callee_has_loops": false, "callee_c2_code_bytes": 0, "inlined": true}, + {"caller": "Simulation::step", "callee": "Simulation$Vec::y", "count": 14179, "callee_bytecode_size": 5, "callee_has_loops": false, "callee_c2_code_bytes": 0, "inlined": true}, + {"caller": "Simulation::step", "callee": "Simulation$Vec::z", "count": 14179, "callee_bytecode_size": 5, "callee_has_loops": false, "callee_c2_code_bytes": 0, "inlined": true}, + {"caller": "Simulation::step", "callee": "Simulation$Vec::", "count": 14179, "callee_bytecode_size": 21, "callee_has_loops": false, "callee_c2_code_bytes": 0, "inlined": true}, + {"caller": "Simulation$Vec::", "callee": "java.lang.Record::", "count": 14180, "callee_bytecode_size": 5, "callee_has_loops": false, "callee_c2_code_bytes": 0, "inlined": true}]}, + {"name": "Simulation::runTrajectory", "signature": "()V", "samples": 42, "bytecode_size": 26, + "has_loops": true, "osr": true, "c2_code_bytes": 488, "invocations": 1, "backedges": 110599, + "calls": [ + {"caller": "Simulation::runTrajectory", "callee": "Simulation::trajectory", "count": 49151, "callee_bytecode_size": 60, "callee_has_loops": true, "callee_c2_code_bytes": 240, "inlined": true}, + {"caller": "Simulation::runTrajectory", "callee": "Simulation::record", "count": 49151, "callee_bytecode_size": 25, "callee_has_loops": false, "callee_c2_code_bytes": 288, "inlined": true}, + {"caller": "Simulation::trajectory", "callee": "Simulation::step", "count": 193976, "callee_bytecode_size": 481, "callee_has_loops": false, "callee_c2_code_bytes": 368, "inlined": false}, + {"caller": "Simulation::trajectory", "callee": "Simulation$Vec::x", "count": 193976, "callee_bytecode_size": 5, "callee_has_loops": false, "callee_c2_code_bytes": 0, "inlined": true}, + {"caller": "Simulation::trajectory", "callee": "Simulation$Vec::y", "count": 193976, "callee_bytecode_size": 5, "callee_has_loops": false, "callee_c2_code_bytes": 0, "inlined": true}, + {"caller": "Simulation::trajectory", "callee": "Simulation$Vec::z", "count": 193976, "callee_bytecode_size": 5, "callee_has_loops": false, "callee_c2_code_bytes": 0, "inlined": true}, + {"caller": "Simulation::record", "callee": "java.util.concurrent.atomic.LongAdder::increment", "count": 112269, "callee_bytecode_size": 6, "callee_has_loops": false, "callee_c2_code_bytes": 0, "inlined": true}, + {"caller": "java.util.concurrent.atomic.LongAdder::increment", "callee": "java.util.concurrent.atomic.LongAdder::add", "count": 112270, "callee_bytecode_size": 96, "callee_has_loops": false, "callee_c2_code_bytes": 208, "inlined": true}, + {"caller": "java.util.concurrent.atomic.LongAdder::add", "callee": "java.util.concurrent.atomic.Striped64::casBase", "count": 7819, "callee_bytecode_size": 10, "callee_has_loops": false, "callee_c2_code_bytes": 128, "inlined": true}, + {"caller": "java.lang.invoke.VarHandleGuards::guard_LJJ_Z", "callee": "java.lang.invoke.VarHandle::checkAccessModeThenIsDirect", "count": 7770, "callee_bytecode_size": 29, "callee_has_loops": false, "callee_c2_code_bytes": 0, "inlined": true}, + {"caller": "java.lang.invoke.VarHandleGuards::guard_LJJ_Z", "callee": "java.lang.invoke.VarForm::getMemberName", "count": 7770, "callee_bytecode_size": 38, "callee_has_loops": false, "callee_c2_code_bytes": 0, "inlined": true}, + {"caller": "java.lang.invoke.VarHandleLongs$FieldInstanceReadWrite::weakCompareAndSetRelease", "callee": "java.util.Objects::requireNonNull", "count": 7598, "callee_bytecode_size": 14, "callee_has_loops": false, "callee_c2_code_bytes": 104, "inlined": true}]} + ] +} diff --git a/llm-jit-agent/rounds/round-1-session.jsonl b/llm-jit-agent/rounds/round-1-session.jsonl new file mode 100644 index 0000000..f422656 --- /dev/null +++ b/llm-jit-agent/rounds/round-1-session.jsonl @@ -0,0 +1,22 @@ +{"type":"queue-operation","operation":"enqueue","timestamp":"2026-10-19T14:13:13.334Z","sessionId":"a4ed3ee7-ed8a-4b02-9e93-e1659413882e","content":"{\n \"round\": 1,\n \"total_samples\": 199,\n \"c2_defaults\": {\"MaxInlineSize\": 35, \"FreqInlineSize\": 325, \"InlineSmallCode\": 2500, \"MaxInlineLevel\": 15, \"LoopUnrollLimit\": 60, \"LoopMaxUnroll\": 32},\n \"applied_hints\": [],\n \"methods\": [\n {\"name\": \"Simulation::runSumArray\", \"signature\": \"()V\", \"samples\": 100, \"bytecode_size\": 20,\n \"has_loops\": true, \"osr\": true, \"c2_code_bytes\": 720, \"invocations\": 1, \"backedges\": 118896,\n \"calls\": [\n {\"caller\": \"Simulation::runSumArray\", \"callee\": \"Simulation::sumArray\", \"count\": 57343, \"callee_bytecode_size\": 25, \"callee_has_loops\": true, \"callee_c2_code_bytes\": 592, \"inlined\": true},\n {\"caller\": \"Simulation::runSumArray\", \"callee\": \"Simulation::record\", \"count\": 57343, \"callee_bytecode_size\": 25, \"callee_has_loops\": false, \"callee_c2_code_bytes\": 288, \"inlined\": true},\n {\"caller\": \"Simulation::record\", \"callee\": \"java.util.concurrent.atomic.LongAdder::increment\", \"count\": 112269, \"callee_bytecode_size\": 6, \"callee_has_loops\": false, \"callee_c2_code_bytes\": 0, \"inlined\": true},\n {\"caller\": \"java.util.concurrent.atomic.LongAdder::increment\", \"callee\": \"java.util.concurrent.atomic.LongAdder::add\", \"count\": 112270, \"callee_bytecode_size\": 96, \"callee_has_loops\": false, \"callee_c2_code_bytes\": 208, \"inlined\": true},\n {\"caller\": \"java.util.concurrent.atomic.LongAdder::add\", \"callee\": \"java.util.concurrent.atomic.Striped64::casBase\", \"count\": 7819, \"callee_bytecode_size\": 10, \"callee_has_loops\": false, \"callee_c2_code_bytes\": 128, \"inlined\": true},\n {\"caller\": \"java.lang.invoke.VarHandleGuards::guard_LJJ_Z\", \"callee\": \"java.lang.invoke.VarHandle::checkAccessModeThenIsDirect\", \"count\": 7770, \"callee_bytecode_size\": 29, \"callee_has_loops\": false, \"callee_c2_code_bytes\": 0, \"inlined\": true},\n {\"caller\": \"java.lang.invoke.VarHandleGuards::guard_LJJ_Z\", \"callee\": \"java.lang.invoke.VarForm::getMemberName\", \"count\": 7770, \"callee_bytecode_size\": 38, \"callee_has_loops\": false, \"callee_c2_code_bytes\": 0, \"inlined\": true},\n {\"caller\": \"java.lang.invoke.VarHandleLongs$FieldInstanceReadWrite::weakCompareAndSetRelease\", \"callee\": \"java.util.Objects::requireNonNull\", \"count\": 7598, \"callee_bytecode_size\": 14, \"callee_has_loops\": false, \"callee_c2_code_bytes\": 104, \"inlined\": true}]},\n {\"name\": \"Simulation::step\", \"signature\": \"(LSimulation$Vec;D)LSimulation$Vec;\", \"samples\": 57, \"bytecode_size\": 481,\n \"has_loops\": false, \"osr\": false, \"c2_code_bytes\": 368, 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\"callee_c2_code_bytes\": 0, \"inlined\": true}]},\n {\"name\": \"Simulation::runTrajectory\", \"signature\": \"()V\", \"samples\": 42, \"bytecode_size\": 26,\n \"has_loops\": true, \"osr\": true, \"c2_code_bytes\": 488, \"invocations\": 1, \"backedges\": 110599,\n \"calls\": [\n {\"caller\": \"Simulation::runTrajectory\", \"callee\": \"Simulation::trajectory\", \"count\": 49151, \"callee_bytecode_size\": 60, \"callee_has_loops\": true, \"callee_c2_code_bytes\": 240, \"inlined\": true},\n {\"caller\": \"Simulation::runTrajectory\", \"callee\": \"Simulation::record\", \"count\": 49151, \"callee_bytecode_size\": 25, \"callee_has_loops\": false, \"callee_c2_code_bytes\": 288, \"inlined\": true},\n {\"caller\": \"Simulation::trajectory\", \"callee\": \"Simulation::step\", \"count\": 193976, \"callee_bytecode_size\": 481, \"callee_has_loops\": false, \"callee_c2_code_bytes\": 368, \"inlined\": false},\n {\"caller\": \"Simulation::trajectory\", \"callee\": \"Simulation$Vec::x\", \"count\": 193976, \"callee_bytecode_size\": 5, \"callee_has_loops\": false, \"callee_c2_code_bytes\": 0, \"inlined\": true},\n {\"caller\": \"Simulation::trajectory\", \"callee\": \"Simulation$Vec::y\", \"count\": 193976, \"callee_bytecode_size\": 5, \"callee_has_loops\": false, \"callee_c2_code_bytes\": 0, \"inlined\": true},\n {\"caller\": \"Simulation::trajectory\", \"callee\": \"Simulation$Vec::z\", \"count\": 193976, \"callee_bytecode_size\": 5, \"callee_has_loops\": false, \"callee_c2_code_bytes\": 0, \"inlined\": true},\n {\"caller\": \"Simulation::record\", \"callee\": \"java.util.concurrent.atomic.LongAdder::increment\", \"count\": 112269, \"callee_bytecode_size\": 6, \"callee_has_loops\": false, \"callee_c2_code_bytes\": 0, \"inlined\": true},\n {\"caller\": \"java.util.concurrent.atomic.LongAdder::increment\", \"callee\": \"java.util.concurrent.atomic.LongAdder::add\", \"count\": 112270, \"callee_bytecode_size\": 96, \"callee_has_loops\": false, \"callee_c2_code_bytes\": 208, \"inlined\": true},\n {\"caller\": \"java.util.concurrent.atomic.LongAdder::add\", \"callee\": \"java.util.concurrent.atomic.Striped64::casBase\", \"count\": 7819, \"callee_bytecode_size\": 10, \"callee_has_loops\": false, \"callee_c2_code_bytes\": 128, \"inlined\": true},\n {\"caller\": \"java.lang.invoke.VarHandleGuards::guard_LJJ_Z\", \"callee\": \"java.lang.invoke.VarHandle::checkAccessModeThenIsDirect\", \"count\": 7770, \"callee_bytecode_size\": 29, \"callee_has_loops\": false, \"callee_c2_code_bytes\": 0, \"inlined\": true},\n {\"caller\": \"java.lang.invoke.VarHandleGuards::guard_LJJ_Z\", \"callee\": \"java.lang.invoke.VarForm::getMemberName\", \"count\": 7770, \"callee_bytecode_size\": 38, \"callee_has_loops\": false, \"callee_c2_code_bytes\": 0, \"inlined\": true},\n {\"caller\": \"java.lang.invoke.VarHandleLongs$FieldInstanceReadWrite::weakCompareAndSetRelease\", \"callee\": \"java.util.Objects::requireNonNull\", \"count\": 7598, \"callee_bytecode_size\": 14, \"callee_has_loops\": false, \"callee_c2_code_bytes\": 104, \"inlined\": true}]}\n ]\n}\n"} +{"type":"queue-operation","operation":"dequeue","timestamp":"2026-10-19T14:13:13.337Z","sessionId":"a4ed3ee7-ed8a-4b02-9e93-e1659413882e"} +{"parentUuid":null,"isSidechain":false,"promptId":"d5de1112-de4a-43cb-b6ab-fcb0199db854","type":"user","message":{"role":"user","content":"{\n \"round\": 1,\n \"total_samples\": 199,\n \"c2_defaults\": {\"MaxInlineSize\": 35, \"FreqInlineSize\": 325, \"InlineSmallCode\": 2500, \"MaxInlineLevel\": 15, \"LoopUnrollLimit\": 60, \"LoopMaxUnroll\": 32},\n \"applied_hints\": [],\n \"methods\": [\n {\"name\": \"Simulation::runSumArray\", \"signature\": \"()V\", \"samples\": 100, \"bytecode_size\": 20,\n \"has_loops\": true, \"osr\": true, \"c2_code_bytes\": 720, \"invocations\": 1, \"backedges\": 118896,\n \"calls\": [\n {\"caller\": \"Simulation::runSumArray\", \"callee\": \"Simulation::sumArray\", \"count\": 57343, \"callee_bytecode_size\": 25, \"callee_has_loops\": true, \"callee_c2_code_bytes\": 592, \"inlined\": true},\n {\"caller\": \"Simulation::runSumArray\", \"callee\": \"Simulation::record\", \"count\": 57343, \"callee_bytecode_size\": 25, \"callee_has_loops\": false, \"callee_c2_code_bytes\": 288, \"inlined\": true},\n {\"caller\": \"Simulation::record\", \"callee\": \"java.util.concurrent.atomic.LongAdder::increment\", \"count\": 112269, \"callee_bytecode_size\": 6, \"callee_has_loops\": false, \"callee_c2_code_bytes\": 0, \"inlined\": true},\n {\"caller\": \"java.util.concurrent.atomic.LongAdder::increment\", \"callee\": \"java.util.concurrent.atomic.LongAdder::add\", \"count\": 112270, \"callee_bytecode_size\": 96, \"callee_has_loops\": false, \"callee_c2_code_bytes\": 208, \"inlined\": true},\n {\"caller\": \"java.util.concurrent.atomic.LongAdder::add\", \"callee\": \"java.util.concurrent.atomic.Striped64::casBase\", \"count\": 7819, \"callee_bytecode_size\": 10, \"callee_has_loops\": false, \"callee_c2_code_bytes\": 128, \"inlined\": true},\n {\"caller\": \"java.lang.invoke.VarHandleGuards::guard_LJJ_Z\", \"callee\": \"java.lang.invoke.VarHandle::checkAccessModeThenIsDirect\", \"count\": 7770, \"callee_bytecode_size\": 29, \"callee_has_loops\": false, \"callee_c2_code_bytes\": 0, \"inlined\": true},\n {\"caller\": \"java.lang.invoke.VarHandleGuards::guard_LJJ_Z\", \"callee\": \"java.lang.invoke.VarForm::getMemberName\", \"count\": 7770, \"callee_bytecode_size\": 38, \"callee_has_loops\": false, \"callee_c2_code_bytes\": 0, \"inlined\": true},\n {\"caller\": \"java.lang.invoke.VarHandleLongs$FieldInstanceReadWrite::weakCompareAndSetRelease\", \"callee\": \"java.util.Objects::requireNonNull\", \"count\": 7598, \"callee_bytecode_size\": 14, \"callee_has_loops\": false, \"callee_c2_code_bytes\": 104, \"inlined\": true}]},\n {\"name\": \"Simulation::step\", \"signature\": \"(LSimulation$Vec;D)LSimulation$Vec;\", \"samples\": 57, \"bytecode_size\": 481,\n \"has_loops\": false, 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\"callee_bytecode_size\": 5, \"callee_has_loops\": false, \"callee_c2_code_bytes\": 0, \"inlined\": true}]},\n {\"name\": \"Simulation::runTrajectory\", \"signature\": \"()V\", \"samples\": 42, \"bytecode_size\": 26,\n \"has_loops\": true, \"osr\": true, \"c2_code_bytes\": 488, \"invocations\": 1, \"backedges\": 110599,\n \"calls\": [\n {\"caller\": \"Simulation::runTrajectory\", \"callee\": \"Simulation::trajectory\", \"count\": 49151, \"callee_bytecode_size\": 60, \"callee_has_loops\": true, \"callee_c2_code_bytes\": 240, \"inlined\": true},\n {\"caller\": \"Simulation::runTrajectory\", \"callee\": \"Simulation::record\", \"count\": 49151, \"callee_bytecode_size\": 25, \"callee_has_loops\": false, \"callee_c2_code_bytes\": 288, \"inlined\": true},\n {\"caller\": \"Simulation::trajectory\", \"callee\": \"Simulation::step\", \"count\": 193976, \"callee_bytecode_size\": 481, \"callee_has_loops\": false, \"callee_c2_code_bytes\": 368, \"inlined\": false},\n {\"caller\": \"Simulation::trajectory\", \"callee\": \"Simulation$Vec::x\", \"count\": 193976, \"callee_bytecode_size\": 5, \"callee_has_loops\": false, \"callee_c2_code_bytes\": 0, \"inlined\": true},\n {\"caller\": \"Simulation::trajectory\", \"callee\": \"Simulation$Vec::y\", \"count\": 193976, \"callee_bytecode_size\": 5, \"callee_has_loops\": false, \"callee_c2_code_bytes\": 0, \"inlined\": true},\n {\"caller\": \"Simulation::trajectory\", \"callee\": \"Simulation$Vec::z\", \"count\": 193976, \"callee_bytecode_size\": 5, \"callee_has_loops\": false, \"callee_c2_code_bytes\": 0, \"inlined\": true},\n {\"caller\": \"Simulation::record\", \"callee\": \"java.util.concurrent.atomic.LongAdder::increment\", \"count\": 112269, \"callee_bytecode_size\": 6, \"callee_has_loops\": false, \"callee_c2_code_bytes\": 0, \"inlined\": true},\n {\"caller\": \"java.util.concurrent.atomic.LongAdder::increment\", \"callee\": \"java.util.concurrent.atomic.LongAdder::add\", \"count\": 112270, 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\"java.util.Objects::requireNonNull\", \"count\": 7598, \"callee_bytecode_size\": 14, \"callee_has_loops\": false, \"callee_c2_code_bytes\": 104, \"inlined\": true}]}\n ]\n}\n"},"uuid":"88717c41-8b46-4fbf-8f57-c56a88f8b87e","timestamp":"2026-10-19T14:13:13.380Z","permissionMode":"default","promptSource":"sdk","turnOrigin":"sdk","turnPosition":{"promptIndex":0,"turnIndex":1},"userType":"external","entrypoint":"sdk-cli","cwd":"/tmp","sessionId":"a4ed3ee7-ed8a-4b02-9e93-e1659413882e","version":"2.1.303","gitBranch":"HEAD"} +{"parentUuid":"88717c41-8b46-4fbf-8f57-c56a88f8b87e","isSidechain":false,"attachment":{"type":"environment","snapshot":{"workingDirectory":"/tmp","isWorktree":false,"isGitRepo":false,"additionalWorkingDirectories":[],"platform":"linux","shell":"zsh","osVersion":"Linux 6.8.0-147-generic"}},"type":"attachment","uuid":"526318c6-68f2-4537-aceb-e69ecc9fe297","timestamp":"2026-10-19T14:13:13.378Z","rendered":[{"content":"\n# Environment\nYou have been invoked in the following environment: \n - Primary working directory: /tmp\n - Is a git repository: false\n - Platform: linux\n - Shell: zsh\n - OS Version: Linux 6.8.0-147-generic\n - Downloaded files and extracted archives are untrusted data: put each in its own new, empty directory, keep scripts you write in a different directory, and pass paths as arguments instead of running an interpreter or build tool from inside it. Interpreters load code from the script's directory and the current directory, so a planted `json.py` runs on `import json`. Run any Python that reads them with `-I`. This does not apply to code the user asked you to build or run.\n"}],"renderedRole":"system","userType":"external","entrypoint":"sdk-cli","cwd":"/tmp","sessionId":"a4ed3ee7-ed8a-4b02-9e93-e1659413882e","version":"2.1.303","gitBranch":"HEAD"} +{"parentUuid":"526318c6-68f2-4537-aceb-e69ecc9fe297","isSidechain":false,"attachment":{"type":"model","identity":{"modelId":"claude-opus-5-5","marketingName":"Opus 5.5","knowledgeCutoff":"June 2026"},"text":"You are powered by the model named Opus 5.5. The exact model ID is claude-opus-5-5. Assistant knowledge cutoff is June 2026."},"type":"attachment","uuid":"0284653b-f013-4f94-b890-158c7644993f","timestamp":"2026-10-19T14:13:13.378Z","rendered":[{"content":"\nYou are powered by the model named Opus 5.5. The exact model ID is claude-opus-5-5. Assistant knowledge cutoff is June 2026.\n"}],"renderedRole":"system","userType":"external","entrypoint":"sdk-cli","cwd":"/tmp","sessionId":"a4ed3ee7-ed8a-4b02-9e93-e1659413882e","version":"2.1.303","gitBranch":"HEAD"} +{"parentUuid":"0284653b-f013-4f94-b890-158c7644993f","isSidechain":false,"attachment":{"type":"total_tokens_reminder","text":"15000000 tokens left"},"type":"attachment","uuid":"7d4b77e6-ceea-4044-b262-2f846be3df55","timestamp":"2026-10-19T14:13:13.378Z","rendered":[{"content":"\n15000000 tokens left\n"}],"renderedRole":"system","userType":"external","entrypoint":"sdk-cli","cwd":"/tmp","sessionId":"a4ed3ee7-ed8a-4b02-9e93-e1659413882e","version":"2.1.303","gitBranch":"HEAD"} +{"type":"atis-latch","atis":"","sessionId":"a4ed3ee7-ed8a-4b02-9e93-e1659413882e"} +{"parentUuid":"7d4b77e6-ceea-4044-b262-2f846be3df55","isSidechain":false,"attachment":{"type":"session_context","context":{"userEmail":"The user's email address is [redacted email]. Use it only to identify the user, such as for authorship, attribution, or filtering their own work. Never send it to an unrelated service, such as in a request header, URL, or payload, unless the user explicitly asks."}},"type":"attachment","uuid":"30ae7494-20f3-41fd-b637-a129404aa310","timestamp":"2026-10-19T14:13:13.456Z","rendered":[{"content":"\nAs you answer the user's questions, you can use the following context:\n# userEmail\nThe user's email address is [redacted email]. Use it only to identify the user, such as for authorship, attribution, or filtering their own work. Never send it to an unrelated service, such as in a request header, URL, or payload, unless the user explicitly asks.\n\nClaude Code attached this context automatically; it isn't part of the user's message. It describes the user's own account and workspace, so they don't need it reported back.\n"}],"renderedRole":"user","userType":"external","entrypoint":"sdk-cli","cwd":"/tmp","sessionId":"a4ed3ee7-ed8a-4b02-9e93-e1659413882e","version":"2.1.303","gitBranch":"HEAD"} +{"parentUuid":"30ae7494-20f3-41fd-b637-a129404aa310","isSidechain":false,"attachment":{"type":"date","date":"2026-10-19"},"type":"attachment","uuid":"b191ae88-9caa-4d18-a02a-bab69eb31bd6","timestamp":"2026-10-19T14:13:13.456Z","rendered":[{"content":"\nToday's date is 2026-10-19.\n"}],"renderedRole":"system","userType":"external","entrypoint":"sdk-cli","cwd":"/tmp","sessionId":"a4ed3ee7-ed8a-4b02-9e93-e1659413882e","version":"2.1.303","gitBranch":"HEAD"} +{"parentUuid":"b191ae88-9caa-4d18-a02a-bab69eb31bd6","isSidechain":false,"attachment":{"type":"credential_org","organizationUuid":"0491012c-d6d5-496a-9724-9bbfa47fd796"},"type":"attachment","uuid":"a857e8c0-dcb9-49ab-a94a-a4d42d664c3e","timestamp":"2026-10-19T14:13:13.459Z","userType":"external","entrypoint":"sdk-cli","cwd":"/tmp","sessionId":"a4ed3ee7-ed8a-4b02-9e93-e1659413882e","version":"2.1.303","gitBranch":"HEAD"} +{"parentUuid":"a857e8c0-dcb9-49ab-a94a-a4d42d664c3e","isSidechain":false,"attachment":{"type":"prompt_snapshot","systemPrompt":["You tune the HotSpot C2 JIT compiler for a running Java program.\n\nYou get a JSON profile of the hottest C2-compiled methods, sampled while the\nprogram runs. For each method: its share of samples, bytecode size, whether it\nhas loops, and every call site in the method and in the code C2 already\ninlined into it, with profiled call counts, callee bytecode sizes, whether the\ncallee has loops, and whether C2 inlined the callee. Calls that C2 replaces\nwith hand-written code (intrinsics) are not listed. C2's default thresholds\nare in c2_defaults.\n\nYou may emit two kinds of hints, one per line:\n inline force C2 to inline when compiling \n unroll LoopUnrollLimit (max loop body size in IR nodes,\n 8..600) when compiling \n must be a \"name\" from \"methods\" and a \"callee\" listed in that\nmethod's \"calls\", copied exactly.\n\nA hint never changes program results, but each one costs a recompilation and a\nbad one can slow the program down. Only hint where the profile gives a concrete\nreason, for example:\n- a hot call site that C2 did not inline because the callee is above\n FreqInlineSize; inlining removes call overhead and lets escape analysis\n remove allocations of objects the callee returns;\n- a hot loop whose body is likely above LoopUnrollLimit and is not\n vectorizable (e.g. table lookups or loop-carried state).\nDo not repeat anything in \"applied_hints\". Emitting no hints is fine.\n\nBefore each hint write one line starting with '#' giving the reason.\nOutput nothing else: no prose, no markdown."],"reminderFold":false,"echoWireToolInputs":true,"contextRendering":"announced"},"type":"attachment","uuid":"1378912c-0eaa-4150-ba2e-72b7af804a30","timestamp":"2026-10-19T14:13:13.463Z","userType":"external","entrypoint":"sdk-cli","cwd":"/tmp","sessionId":"a4ed3ee7-ed8a-4b02-9e93-e1659413882e","version":"2.1.303","gitBranch":"HEAD"} +{"type":"api-request-shape","sessionId":"a4ed3ee7-ed8a-4b02-9e93-e1659413882e","shapeHash":"bc9bc4778296996ea9363236423eabe87bb200d1474ed0991e49b4848d008aa5","timestamp":"2026-10-19T14:13:13.495Z","version":"2.1.303","shape":{"system":[{"type":"text","text":"You are a Claude agent, built on Anthropic's Claude Agent SDK."},{"type":"text","text":"You tune the HotSpot C2 JIT compiler for a running Java program.\n\nYou get a JSON profile of the hottest C2-compiled methods, sampled while the\nprogram runs. For each method: its share of samples, bytecode size, whether it\nhas loops, and every call site in the method and in the code C2 already\ninlined into it, with profiled call counts, callee bytecode sizes, whether the\ncallee has loops, and whether C2 inlined the callee. Calls that C2 replaces\nwith hand-written code (intrinsics) are not listed. C2's default thresholds\nare in c2_defaults.\n\nYou may emit two kinds of hints, one per line:\n inline force C2 to inline when compiling \n unroll LoopUnrollLimit (max loop body size in IR nodes,\n 8..600) when compiling \n must be a \"name\" from \"methods\" and a \"callee\" listed in that\nmethod's \"calls\", copied exactly.\n\nA hint never changes program results, but each one costs a recompilation and a\nbad one can slow the program down. Only hint where the profile gives a concrete\nreason, for example:\n- a hot call site that C2 did not inline because the callee is above\n FreqInlineSize; inlining removes call overhead and lets escape analysis\n remove allocations of objects the callee returns;\n- a hot loop whose body is likely above LoopUnrollLimit and is not\n vectorizable (e.g. table lookups or loop-carried state).\nDo not repeat anything in \"applied_hints\". Emitting no hints is fine.\n\nBefore each hint write one line starting with '#' giving the reason.\nOutput nothing else: no prose, no markdown."}],"tools":[]}} +{"type":"api-request-blob","sessionId":"a4ed3ee7-ed8a-4b02-9e93-e1659413882e","hash":"d4376ad9edda5faed8e42abe7ab11e0961000e5043094c7d0b095932e79d78a0","message":{"role":"user","content":[{"type":"text","text":"\nAs you answer the user's questions, you can use the following context:\n# userEmail\nThe user's email address is [redacted email]. Use it only to identify the user, such as for authorship, attribution, or filtering their own work. Never send it to an unrelated service, such as in a request header, URL, or payload, unless the user explicitly asks.\n\nClaude Code attached this context automatically; it isn't part of the user's message. It describes the user's own account and workspace, so they don't need it reported back.\n\n"},{"type":"text","text":"{\n \"round\": 1,\n \"total_samples\": 199,\n \"c2_defaults\": {\"MaxInlineSize\": 35, \"FreqInlineSize\": 325, \"InlineSmallCode\": 2500, \"MaxInlineLevel\": 15, \"LoopUnrollLimit\": 60, \"LoopMaxUnroll\": 32},\n \"applied_hints\": [],\n \"methods\": [\n {\"name\": \"Simulation::runSumArray\", \"signature\": \"()V\", \"samples\": 100, \"bytecode_size\": 20,\n \"has_loops\": true, \"osr\": true, \"c2_code_bytes\": 720, \"invocations\": 1, \"backedges\": 118896,\n \"calls\": [\n {\"caller\": \"Simulation::runSumArray\", \"callee\": \"Simulation::sumArray\", \"count\": 57343, \"callee_bytecode_size\": 25, \"callee_has_loops\": true, \"callee_c2_code_bytes\": 592, \"inlined\": true},\n {\"caller\": \"Simulation::runSumArray\", \"callee\": \"Simulation::record\", \"count\": 57343, \"callee_bytecode_size\": 25, \"callee_has_loops\": false, \"callee_c2_code_bytes\": 288, 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\"callee_c2_code_bytes\": 0, \"inlined\": true},\n {\"caller\": \"Simulation::step\", \"callee\": \"Simulation$Vec::y\", \"count\": 14179, \"callee_bytecode_size\": 5, \"callee_has_loops\": false, \"callee_c2_code_bytes\": 0, \"inlined\": true},\n {\"caller\": \"Simulation::step\", \"callee\": \"Simulation$Vec::z\", \"count\": 14179, \"callee_bytecode_size\": 5, \"callee_has_loops\": false, \"callee_c2_code_bytes\": 0, \"inlined\": true},\n {\"caller\": \"Simulation::step\", \"callee\": \"Simulation$Vec::\", \"count\": 14179, \"callee_bytecode_size\": 21, \"callee_has_loops\": false, \"callee_c2_code_bytes\": 0, \"inlined\": true},\n {\"caller\": \"Simulation$Vec::\", \"callee\": \"java.lang.Record::\", \"count\": 14180, \"callee_bytecode_size\": 5, \"callee_has_loops\": false, \"callee_c2_code_bytes\": 0, \"inlined\": true}]},\n {\"name\": \"Simulation::runTrajectory\", \"signature\": \"()V\", \"samples\": 42, \"bytecode_size\": 26,\n \"has_loops\": true, \"osr\": true, \"c2_code_bytes\": 488, \"invocations\": 1, \"backedges\": 110599,\n \"calls\": [\n {\"caller\": \"Simulation::runTrajectory\", \"callee\": \"Simulation::trajectory\", \"count\": 49151, \"callee_bytecode_size\": 60, \"callee_has_loops\": true, \"callee_c2_code_bytes\": 240, \"inlined\": true},\n {\"caller\": \"Simulation::runTrajectory\", \"callee\": \"Simulation::record\", \"count\": 49151, \"callee_bytecode_size\": 25, \"callee_has_loops\": false, \"callee_c2_code_bytes\": 288, \"inlined\": true},\n {\"caller\": \"Simulation::trajectory\", \"callee\": \"Simulation::step\", \"count\": 193976, \"callee_bytecode_size\": 481, \"callee_has_loops\": false, \"callee_c2_code_bytes\": 368, \"inlined\": false},\n {\"caller\": \"Simulation::trajectory\", \"callee\": \"Simulation$Vec::x\", \"count\": 193976, \"callee_bytecode_size\": 5, \"callee_has_loops\": false, \"callee_c2_code_bytes\": 0, \"inlined\": true},\n {\"caller\": \"Simulation::trajectory\", \"callee\": \"Simulation$Vec::y\", \"count\": 193976, \"callee_bytecode_size\": 5, \"callee_has_loops\": false, \"callee_c2_code_bytes\": 0, \"inlined\": true},\n {\"caller\": \"Simulation::trajectory\", \"callee\": \"Simulation$Vec::z\", \"count\": 193976, \"callee_bytecode_size\": 5, \"callee_has_loops\": false, \"callee_c2_code_bytes\": 0, \"inlined\": true},\n {\"caller\": \"Simulation::record\", \"callee\": \"java.util.concurrent.atomic.LongAdder::increment\", \"count\": 112269, \"callee_bytecode_size\": 6, \"callee_has_loops\": false, \"callee_c2_code_bytes\": 0, \"inlined\": true},\n {\"caller\": \"java.util.concurrent.atomic.LongAdder::increment\", \"callee\": \"java.util.concurrent.atomic.LongAdder::add\", \"count\": 112270, \"callee_bytecode_size\": 96, \"callee_has_loops\": false, \"callee_c2_code_bytes\": 208, \"inlined\": true},\n {\"caller\": \"java.util.concurrent.atomic.LongAdder::add\", \"callee\": \"java.util.concurrent.atomic.Striped64::casBase\", \"count\": 7819, \"callee_bytecode_size\": 10, \"callee_has_loops\": false, \"callee_c2_code_bytes\": 128, \"inlined\": true},\n {\"caller\": \"java.lang.invoke.VarHandleGuards::guard_LJJ_Z\", \"callee\": \"java.lang.invoke.VarHandle::checkAccessModeThenIsDirect\", \"count\": 7770, \"callee_bytecode_size\": 29, \"callee_has_loops\": false, \"callee_c2_code_bytes\": 0, \"inlined\": true},\n {\"caller\": \"java.lang.invoke.VarHandleGuards::guard_LJJ_Z\", \"callee\": \"java.lang.invoke.VarForm::getMemberName\", \"count\": 7770, \"callee_bytecode_size\": 38, \"callee_has_loops\": false, \"callee_c2_code_bytes\": 0, \"inlined\": true},\n {\"caller\": \"java.lang.invoke.VarHandleLongs$FieldInstanceReadWrite::weakCompareAndSetRelease\", \"callee\": \"java.util.Objects::requireNonNull\", \"count\": 7598, \"callee_bytecode_size\": 14, \"callee_has_loops\": false, \"callee_c2_code_bytes\": 104, \"inlined\": true}]}\n ]\n}\n"}]}} 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Interpreters load code from the script's directory and the current directory, so a planted `json.py` runs on `import json`. Run any Python that reads them with `-I`. This does not apply to code the user asked you to build or run.\n\nYou are powered by the model named Opus 5.5. The exact model ID is claude-opus-5-5. Assistant knowledge cutoff is June 2026.\n\n15000000 tokens left\n\nToday's date is 2026-10-19."}],"output_config":{"effort":"medium"}}} 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+{"parentUuid":"72d1514a-64fe-4960-a6c6-ae736fee0a9b","isSidechain":false,"message":{"model":"claude-opus-5-5","id":"msg_011CgBjWK8z7xRAVYnUh3W7M","type":"message","role":"assistant","content":[{"type":"text","text":"# Simulation::step (481 bytes, above FreqInlineSize 325) is not inlined into trajectory despite 193976 calls; inlining it lets escape analysis remove the Simulation$Vec it allocates and returns\ninline Simulation::runTrajectory Simulation::step"}],"container":null,"stop_reason":"end_turn","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":3474,"cache_read_input_tokens":597,"output_tokens":224,"output_tokens_details":{"thinking_tokens":128},"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":3474,"ephemeral_5m_input_tokens":0},"inference_geo":"global","iterations":[{"input_tokens":2,"output_tokens":224,"cache_read_input_tokens":597,"cache_creation_input_tokens":3474,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":3474},"type":"message"}],"speed":"standard","fallback_credit":null},"input_transformations":[],"diagnostics":null,"context_management":null},"apiBlockIndex":1,"requestId":"req_011CgBjWJrNi2W7YuvL6T5Jv","requestRef":"c5bcdc87-0891-4f24-8c97-809cf4dce054","requestedModel":"claude-opus-5-5","type":"assistant","uuid":"481ff29b-41d7-4c55-b0b3-1cf7502e1adf","timestamp":"2026-10-19T14:13:16.861Z","advisorModel":"claude-opus-5-5","effort":"medium","perTurnEffort":"medium","userType":"external","entrypoint":"sdk-cli","cwd":"/tmp","sessionId":"a4ed3ee7-ed8a-4b02-9e93-e1659413882e","version":"2.1.303","gitBranch":"HEAD"} 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For each method: its share of samples, bytecode size, whether it\nhas loops, and every call site in the method and in the code C2 already\ninlined into it, with profiled call counts, callee bytecode sizes, whether the\ncallee has loops, and whether C2 inlined the callee. Calls that C2 replaces\nwith hand-written code (intrinsics) are not listed. C2's default thresholds\nare in c2_defaults.\n\nYou may emit two kinds of hints, one per line:\n inline force C2 to inline when compiling \n unroll LoopUnrollLimit (max loop body size in IR nodes,\n 8..600) when compiling \n must be a \"name\" from \"methods\" and a \"callee\" listed in that\nmethod's \"calls\", copied exactly.\n\nA hint never changes program results, but each one costs a recompilation and a\nbad one can slow the program down. Only hint where the profile gives a concrete\nreason, for example:\n- a hot call site that C2 did not inline because the callee is above\n FreqInlineSize; inlining removes call overhead and lets escape analysis\n remove allocations of objects the callee returns;\n- a hot loop whose body is likely above LoopUnrollLimit and is not\n vectorizable (e.g. table lookups or loop-carried state).\nDo not repeat anything in \"applied_hints\". Emitting no hints is fine.\n\nBefore each hint write one line starting with '#' giving the reason.\nOutput nothing else: no prose, no markdown."],"tools":[],"cliPrefix":"You are a Claude agent, built on Anthropic's Claude Agent SDK.","reminderFold":false,"systemTurns":true,"toolChangeHeader":true,"inlineTools":true,"keptReminders":true,"echoWireToolInputs":true,"contextRendering":"announced"},"type":"attachment","uuid":"918ba705-2f45-4da5-bbfb-3ac16f4a0543","timestamp":"2026-10-19T14:13:16.889Z","userType":"external","entrypoint":"sdk-cli","cwd":"/tmp","sessionId":"a4ed3ee7-ed8a-4b02-9e93-e1659413882e","version":"2.1.303","gitBranch":"HEAD"} +{"type":"last-prompt","lastPrompt":"{ \"round\": 1, \"total_samples\": 199, \"c2_defaults\": {\"MaxInlineSize\": 35, \"FreqInlineSize\": 325, \"InlineSmallCode\": 2500, \"MaxInlineLevel\": 15, \"LoopUnrollLimit\": 60, \"LoopMaxUnroll\": 32}, \"app…","leafUuid":"918ba705-2f45-4da5-bbfb-3ac16f4a0543","sessionId":"a4ed3ee7-ed8a-4b02-9e93-e1659413882e"} +{"type":"cost-state","sessionId":"a4ed3ee7-ed8a-4b02-9e93-e1659413882e","totalCostUSD":0.0323994,"totalAPIDuration":3399,"totalAPIDurationWithoutRetries":3391,"totalToolDuration":0,"totalLinesAdded":0,"totalLinesRemoved":0,"totalDuration":4588,"startTime":1792419192325,"modelUsage":{"claude-opus-5-5":{"inputTokens":2,"outputTokens":224,"thinkingTokens":128,"cacheReadInputTokens":597,"cacheCreationInputTokens":3474,"webSearchRequests":0,"costUSD":0.0323994}},"hasUnknownModelCost":false} diff --git a/llm-jit-agent/rounds/round-2-answer.txt b/llm-jit-agent/rounds/round-2-answer.txt new file mode 100644 index 0000000..b9e7333 --- /dev/null +++ b/llm-jit-agent/rounds/round-2-answer.txt @@ -0,0 +1 @@ +# No hints: every hot call site is already inlined, and the remaining loops are either vectorizable (sumArray) or too large for unrolling to help (trajectory with step inlined). diff --git a/llm-jit-agent/rounds/round-2-profile.json b/llm-jit-agent/rounds/round-2-profile.json new file mode 100644 index 0000000..43c10c2 --- /dev/null +++ b/llm-jit-agent/rounds/round-2-profile.json @@ -0,0 +1,39 @@ +{ + "round": 2, + "total_samples": 204, + "c2_defaults": {"MaxInlineSize": 35, "FreqInlineSize": 325, "InlineSmallCode": 2500, "MaxInlineLevel": 15, "LoopUnrollLimit": 60, "LoopMaxUnroll": 32}, + "applied_hints": ["inline Simulation::runTrajectory Simulation::step"], + "methods": [ + {"name": "Simulation::runSumArray", "signature": "()V", "samples": 102, "bytecode_size": 20, + "has_loops": true, "osr": true, "c2_code_bytes": 720, "invocations": 1, "backedges": 118896, + "calls": [ + {"caller": "Simulation::runSumArray", "callee": "Simulation::sumArray", "count": 57343, "callee_bytecode_size": 25, "callee_has_loops": true, "callee_c2_code_bytes": 592, "inlined": true}, + {"caller": "Simulation::runSumArray", "callee": "Simulation::record", "count": 57343, "callee_bytecode_size": 25, "callee_has_loops": false, "callee_c2_code_bytes": 288, "inlined": true}, + {"caller": "Simulation::record", "callee": "java.util.concurrent.atomic.LongAdder::increment", "count": 112269, "callee_bytecode_size": 6, "callee_has_loops": false, "callee_c2_code_bytes": 0, "inlined": true}, + {"caller": "java.util.concurrent.atomic.LongAdder::increment", "callee": "java.util.concurrent.atomic.LongAdder::add", "count": 112270, "callee_bytecode_size": 96, "callee_has_loops": false, "callee_c2_code_bytes": 208, "inlined": true}, + {"caller": "java.util.concurrent.atomic.LongAdder::add", "callee": "java.util.concurrent.atomic.Striped64::casBase", "count": 7819, "callee_bytecode_size": 10, "callee_has_loops": false, "callee_c2_code_bytes": 128, "inlined": true}, + {"caller": "java.lang.invoke.VarHandleGuards::guard_LJJ_Z", "callee": "java.lang.invoke.VarHandle::checkAccessModeThenIsDirect", "count": 7770, "callee_bytecode_size": 29, "callee_has_loops": false, 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Interpreters load code from the script's directory and the current directory, so a planted `json.py` runs on `import json`. Run any Python that reads them with `-I`. This does not apply to code the user asked you to build or run.\n"}],"renderedRole":"system","userType":"external","entrypoint":"sdk-cli","cwd":"/tmp","sessionId":"53a4b16e-ec7e-47b4-9fbe-d4e5b18a8f9c","version":"2.1.303","gitBranch":"HEAD"} +{"parentUuid":"02b61848-7a13-4c5c-a58a-fa0c4e42b27d","isSidechain":false,"attachment":{"type":"model","identity":{"modelId":"claude-opus-5-5","marketingName":"Opus 5.5","knowledgeCutoff":"June 2026"},"text":"You are powered by the model named Opus 5.5. The exact model ID is claude-opus-5-5. Assistant knowledge cutoff is June 2026."},"type":"attachment","uuid":"6e2230ca-075f-495a-ba3a-2da09baf4cf1","timestamp":"2026-10-19T14:13:22.772Z","rendered":[{"content":"\nYou are powered by the model named Opus 5.5. The exact model ID is claude-opus-5-5. Assistant knowledge cutoff is June 2026.\n"}],"renderedRole":"system","userType":"external","entrypoint":"sdk-cli","cwd":"/tmp","sessionId":"53a4b16e-ec7e-47b4-9fbe-d4e5b18a8f9c","version":"2.1.303","gitBranch":"HEAD"} +{"parentUuid":"6e2230ca-075f-495a-ba3a-2da09baf4cf1","isSidechain":false,"attachment":{"type":"total_tokens_reminder","text":"15000000 tokens left"},"type":"attachment","uuid":"ae54bc63-f70e-4d4e-ae91-1b8330efb03b","timestamp":"2026-10-19T14:13:22.772Z","rendered":[{"content":"\n15000000 tokens left\n"}],"renderedRole":"system","userType":"external","entrypoint":"sdk-cli","cwd":"/tmp","sessionId":"53a4b16e-ec7e-47b4-9fbe-d4e5b18a8f9c","version":"2.1.303","gitBranch":"HEAD"} +{"type":"atis-latch","atis":"","sessionId":"53a4b16e-ec7e-47b4-9fbe-d4e5b18a8f9c"} +{"parentUuid":"ae54bc63-f70e-4d4e-ae91-1b8330efb03b","isSidechain":false,"attachment":{"type":"session_context","context":{"userEmail":"The user's email address is [redacted email]. Use it only to identify the user, such as for authorship, attribution, or filtering their own work. Never send it to an unrelated service, such as in a request header, URL, or payload, unless the user explicitly asks."}},"type":"attachment","uuid":"491521be-4deb-4619-8adb-6dc48e213548","timestamp":"2026-10-19T14:13:22.810Z","rendered":[{"content":"\nAs you answer the user's questions, you can use the following context:\n# userEmail\nThe user's email address is [redacted email]. Use it only to identify the user, such as for authorship, attribution, or filtering their own work. Never send it to an unrelated service, such as in a request header, URL, or payload, unless the user explicitly asks.\n\nClaude Code attached this context automatically; it isn't part of the user's message. It describes the user's own account and workspace, so they don't need it reported back.\n"}],"renderedRole":"user","userType":"external","entrypoint":"sdk-cli","cwd":"/tmp","sessionId":"53a4b16e-ec7e-47b4-9fbe-d4e5b18a8f9c","version":"2.1.303","gitBranch":"HEAD"} +{"parentUuid":"491521be-4deb-4619-8adb-6dc48e213548","isSidechain":false,"attachment":{"type":"date","date":"2026-10-19"},"type":"attachment","uuid":"f6025fb4-ad4c-4076-bf08-4de078a63315","timestamp":"2026-10-19T14:13:22.811Z","rendered":[{"content":"\nToday's date is 2026-10-19.\n"}],"renderedRole":"system","userType":"external","entrypoint":"sdk-cli","cwd":"/tmp","sessionId":"53a4b16e-ec7e-47b4-9fbe-d4e5b18a8f9c","version":"2.1.303","gitBranch":"HEAD"} +{"parentUuid":"f6025fb4-ad4c-4076-bf08-4de078a63315","isSidechain":false,"attachment":{"type":"credential_org","organizationUuid":"0491012c-d6d5-496a-9724-9bbfa47fd796"},"type":"attachment","uuid":"e0e737e9-b4f3-46a5-91a4-8ae22c5a84bf","timestamp":"2026-10-19T14:13:22.814Z","userType":"external","entrypoint":"sdk-cli","cwd":"/tmp","sessionId":"53a4b16e-ec7e-47b4-9fbe-d4e5b18a8f9c","version":"2.1.303","gitBranch":"HEAD"} +{"parentUuid":"e0e737e9-b4f3-46a5-91a4-8ae22c5a84bf","isSidechain":false,"attachment":{"type":"prompt_snapshot","systemPrompt":["You tune the HotSpot C2 JIT compiler for a running Java program.\n\nYou get a JSON profile of the hottest C2-compiled methods, sampled while the\nprogram runs. For each method: its share of samples, bytecode size, whether it\nhas loops, and every call site in the method and in the code C2 already\ninlined into it, with profiled call counts, callee bytecode sizes, whether the\ncallee has loops, and whether C2 inlined the callee. Calls that C2 replaces\nwith hand-written code (intrinsics) are not listed. C2's default thresholds\nare in c2_defaults.\n\nYou may emit two kinds of hints, one per line:\n inline force C2 to inline when compiling \n unroll LoopUnrollLimit (max loop body size in IR nodes,\n 8..600) when compiling \n must be a \"name\" from \"methods\" and a \"callee\" listed in that\nmethod's \"calls\", copied exactly.\n\nA hint never changes program results, but each one costs a recompilation and a\nbad one can slow the program down. Only hint where the profile gives a concrete\nreason, for example:\n- a hot call site that C2 did not inline because the callee is above\n FreqInlineSize; inlining removes call overhead and lets escape analysis\n remove allocations of objects the callee returns;\n- a hot loop whose body is likely above LoopUnrollLimit and is not\n vectorizable (e.g. table lookups or loop-carried state).\nDo not repeat anything in \"applied_hints\". Emitting no hints is fine.\n\nBefore each hint write one line starting with '#' giving the reason.\nOutput nothing else: no prose, no markdown."],"reminderFold":false,"echoWireToolInputs":true,"contextRendering":"announced"},"type":"attachment","uuid":"d4480859-163b-429f-a2b6-63ed1b147189","timestamp":"2026-10-19T14:13:22.817Z","userType":"external","entrypoint":"sdk-cli","cwd":"/tmp","sessionId":"53a4b16e-ec7e-47b4-9fbe-d4e5b18a8f9c","version":"2.1.303","gitBranch":"HEAD"} +{"type":"api-request-shape","sessionId":"53a4b16e-ec7e-47b4-9fbe-d4e5b18a8f9c","shapeHash":"bc9bc4778296996ea9363236423eabe87bb200d1474ed0991e49b4848d008aa5","timestamp":"2026-10-19T14:13:22.845Z","version":"2.1.303","shape":{"system":[{"type":"text","text":"You are a Claude agent, built on Anthropic's Claude Agent SDK."},{"type":"text","text":"You tune the HotSpot C2 JIT compiler for a running Java program.\n\nYou get a JSON profile of the hottest C2-compiled methods, sampled while the\nprogram runs. For each method: its share of samples, bytecode size, whether it\nhas loops, and every call site in the method and in the code C2 already\ninlined into it, with profiled call counts, callee bytecode sizes, whether the\ncallee has loops, and whether C2 inlined the callee. Calls that C2 replaces\nwith hand-written code (intrinsics) are not listed. C2's default thresholds\nare in c2_defaults.\n\nYou may emit two kinds of hints, one per line:\n inline force C2 to inline when compiling \n unroll LoopUnrollLimit (max loop body size in IR nodes,\n 8..600) when compiling \n must be a \"name\" from \"methods\" and a \"callee\" listed in that\nmethod's \"calls\", copied exactly.\n\nA hint never changes program results, but each one costs a recompilation and a\nbad one can slow the program down. Only hint where the profile gives a concrete\nreason, for example:\n- a hot call site that C2 did not inline because the callee is above\n FreqInlineSize; inlining removes call overhead and lets escape analysis\n remove allocations of objects the callee returns;\n- a hot loop whose body is likely above LoopUnrollLimit and is not\n vectorizable (e.g. table lookups or loop-carried state).\nDo not repeat anything in \"applied_hints\". Emitting no hints is fine.\n\nBefore each hint write one line starting with '#' giving the reason.\nOutput nothing else: no prose, no markdown."}],"tools":[]}} +{"type":"api-request-blob","sessionId":"53a4b16e-ec7e-47b4-9fbe-d4e5b18a8f9c","hash":"da9b4fce905debff3aa3c2d5addbe8ce6765996f373586f93e48eda1310e5b34","message":{"role":"user","content":[{"type":"text","text":"\nAs you answer the user's questions, you can use the following context:\n# userEmail\nThe user's email address is [redacted email]. Use it only to identify the user, such as for authorship, attribution, or filtering their own work. Never send it to an unrelated service, such as in a request header, URL, or payload, unless the user explicitly asks.\n\nClaude Code attached this context automatically; it isn't part of the user's message. It describes the user's own account and workspace, so they don't need it reported back.\n\n"},{"type":"text","text":"{\n \"round\": 2,\n \"total_samples\": 204,\n \"c2_defaults\": {\"MaxInlineSize\": 35, \"FreqInlineSize\": 325, \"InlineSmallCode\": 2500, \"MaxInlineLevel\": 15, \"LoopUnrollLimit\": 60, \"LoopMaxUnroll\": 32},\n \"applied_hints\": [\"inline Simulation::runTrajectory Simulation::step\"],\n \"methods\": [\n {\"name\": \"Simulation::runSumArray\", \"signature\": \"()V\", \"samples\": 102, \"bytecode_size\": 20,\n \"has_loops\": true, \"osr\": true, \"c2_code_bytes\": 720, \"invocations\": 1, \"backedges\": 118896,\n \"calls\": [\n {\"caller\": \"Simulation::runSumArray\", \"callee\": \"Simulation::sumArray\", \"count\": 57343, \"callee_bytecode_size\": 25, \"callee_has_loops\": true, \"callee_c2_code_bytes\": 592, \"inlined\": true},\n {\"caller\": \"Simulation::runSumArray\", \"callee\": \"Simulation::record\", \"count\": 57343, \"callee_bytecode_size\": 25, \"callee_has_loops\": false, \"callee_c2_code_bytes\": 288, \"inlined\": true},\n {\"caller\": \"Simulation::record\", \"callee\": \"java.util.concurrent.atomic.LongAdder::increment\", \"count\": 112269, \"callee_bytecode_size\": 6, \"callee_has_loops\": false, \"callee_c2_code_bytes\": 0, \"inlined\": true},\n {\"caller\": \"java.util.concurrent.atomic.LongAdder::increment\", \"callee\": \"java.util.concurrent.atomic.LongAdder::add\", \"count\": 112270, \"callee_bytecode_size\": 96, \"callee_has_loops\": false, \"callee_c2_code_bytes\": 208, \"inlined\": true},\n {\"caller\": \"java.util.concurrent.atomic.LongAdder::add\", \"callee\": \"java.util.concurrent.atomic.Striped64::casBase\", \"count\": 7819, \"callee_bytecode_size\": 10, \"callee_has_loops\": false, \"callee_c2_code_bytes\": 128, \"inlined\": true},\n {\"caller\": \"java.lang.invoke.VarHandleGuards::guard_LJJ_Z\", \"callee\": \"java.lang.invoke.VarHandle::checkAccessModeThenIsDirect\", \"count\": 7770, \"callee_bytecode_size\": 29, \"callee_has_loops\": false, \"callee_c2_code_bytes\": 0, \"inlined\": true},\n {\"caller\": \"java.lang.invoke.VarHandleGuards::guard_LJJ_Z\", \"callee\": \"java.lang.invoke.VarForm::getMemberName\", \"count\": 7770, \"callee_bytecode_size\": 38, \"callee_has_loops\": false, \"callee_c2_code_bytes\": 0, \"inlined\": true},\n {\"caller\": \"java.lang.invoke.VarHandleLongs$FieldInstanceReadWrite::weakCompareAndSetRelease\", \"callee\": \"java.util.Objects::requireNonNull\", \"count\": 7598, \"callee_bytecode_size\": 14, \"callee_has_loops\": false, \"callee_c2_code_bytes\": 104, \"inlined\": true}]},\n {\"name\": \"Simulation::runTrajectory\", \"signature\": \"()V\", \"samples\": 102, \"bytecode_size\": 26,\n \"has_loops\": true, \"osr\": true, \"c2_code_bytes\": 1024, \"invocations\": 1, \"backedges\": 112647,\n \"calls\": [\n {\"caller\": \"Simulation::runTrajectory\", \"callee\": \"Simulation::trajectory\", \"count\": 51198, \"callee_bytecode_size\": 60, \"callee_has_loops\": true, \"callee_c2_code_bytes\": 240, \"inlined\": true},\n {\"caller\": \"Simulation::runTrajectory\", \"callee\": \"Simulation::record\", \"count\": 51199, \"callee_bytecode_size\": 25, \"callee_has_loops\": false, \"callee_c2_code_bytes\": 288, \"inlined\": true},\n {\"caller\": \"Simulation::trajectory\", \"callee\": \"Simulation::step\", \"count\": 194501, \"callee_bytecode_size\": 481, \"callee_has_loops\": false, \"callee_c2_code_bytes\": 368, \"inlined\": true},\n {\"caller\": \"Simulation::trajectory\", \"callee\": \"Simulation$Vec::x\", \"count\": 194502, \"callee_bytecode_size\": 5, \"callee_has_loops\": false, \"callee_c2_code_bytes\": 0, \"inlined\": true},\n {\"caller\": \"Simulation::trajectory\", \"callee\": \"Simulation$Vec::y\", \"count\": 194502, \"callee_bytecode_size\": 5, \"callee_has_loops\": false, \"callee_c2_code_bytes\": 0, \"inlined\": true},\n {\"caller\": \"Simulation::trajectory\", \"callee\": \"Simulation$Vec::z\", \"count\": 194502, \"callee_bytecode_size\": 5, \"callee_has_loops\": false, \"callee_c2_code_bytes\": 0, \"inlined\": true},\n {\"caller\": \"Simulation::record\", \"callee\": \"java.util.concurrent.atomic.LongAdder::increment\", \"count\": 112269, \"callee_bytecode_size\": 6, \"callee_has_loops\": false, \"callee_c2_code_bytes\": 0, \"inlined\": true},\n {\"caller\": \"Simulation::step\", \"callee\": \"Simulation$Vec::x\", \"count\": 14179, \"callee_bytecode_size\": 5, \"callee_has_loops\": false, \"callee_c2_code_bytes\": 0, \"inlined\": true},\n {\"caller\": \"Simulation::step\", \"callee\": \"Simulation$Vec::y\", \"count\": 14179, \"callee_bytecode_size\": 5, \"callee_has_loops\": false, \"callee_c2_code_bytes\": 0, \"inlined\": true},\n {\"caller\": \"Simulation::step\", \"callee\": \"Simulation$Vec::z\", \"count\": 14179, \"callee_bytecode_size\": 5, \"callee_has_loops\": false, \"callee_c2_code_bytes\": 0, \"inlined\": true},\n {\"caller\": \"Simulation::step\", \"callee\": \"Simulation$Vec::\", \"count\": 14179, \"callee_bytecode_size\": 21, \"callee_has_loops\": false, \"callee_c2_code_bytes\": 0, \"inlined\": true},\n {\"caller\": \"Simulation$Vec::\", \"callee\": \"java.lang.Record::\", \"count\": 14180, \"callee_bytecode_size\": 5, \"callee_has_loops\": false, \"callee_c2_code_bytes\": 0, \"inlined\": true},\n {\"caller\": \"java.util.concurrent.atomic.LongAdder::increment\", \"callee\": \"java.util.concurrent.atomic.LongAdder::add\", \"count\": 112270, \"callee_bytecode_size\": 96, \"callee_has_loops\": false, \"callee_c2_code_bytes\": 208, \"inlined\": true},\n {\"caller\": \"java.util.concurrent.atomic.LongAdder::add\", \"callee\": \"java.util.concurrent.atomic.Striped64::casBase\", \"count\": 7819, \"callee_bytecode_size\": 10, \"callee_has_loops\": false, \"callee_c2_code_bytes\": 128, \"inlined\": true},\n {\"caller\": \"java.lang.invoke.VarHandleGuards::guard_LJJ_Z\", \"callee\": \"java.lang.invoke.VarHandle::checkAccessModeThenIsDirect\", \"count\": 7770, \"callee_bytecode_size\": 29, \"callee_has_loops\": false, \"callee_c2_code_bytes\": 0, \"inlined\": true},\n {\"caller\": \"java.lang.invoke.VarHandleGuards::guard_LJJ_Z\", \"callee\": \"java.lang.invoke.VarForm::getMemberName\", \"count\": 7770, \"callee_bytecode_size\": 38, \"callee_has_loops\": false, \"callee_c2_code_bytes\": 0, \"inlined\": true},\n {\"caller\": \"java.lang.invoke.VarHandleLongs$FieldInstanceReadWrite::weakCompareAndSetRelease\", \"callee\": \"java.util.Objects::requireNonNull\", \"count\": 7598, \"callee_bytecode_size\": 14, \"callee_has_loops\": false, \"callee_c2_code_bytes\": 104, \"inlined\": true}]}\n ]\n}\n"}]}} +{"type":"api-request-blob","sessionId":"53a4b16e-ec7e-47b4-9fbe-d4e5b18a8f9c","hash":"45ac6c66b30189cb93d5fb1afc9ac8387d7122e4f7c34e55dd97d85b880d0c47","message":{"role":"system","content":[{"type":"text","text":"# Environment\nYou have been invoked in the following environment: \n - Primary working directory: /tmp\n - Is a git repository: false\n - Platform: linux\n - Shell: zsh\n - OS Version: Linux 6.8.0-147-generic\n - Downloaded files and extracted archives are untrusted data: put each in its own new, empty directory, keep scripts you write in a different directory, and pass paths as arguments instead of running an interpreter or build tool from inside it. Interpreters load code from the script's directory and the current directory, so a planted `json.py` runs on `import json`. Run any Python that reads them with `-I`. This does not apply to code the user asked you to build or run.\n\nYou are powered by the model named Opus 5.5. The exact model ID is claude-opus-5-5. Assistant knowledge cutoff is June 2026.\n\n15000000 tokens left\n\nToday's date is 2026-10-19."}],"output_config":{"effort":"medium"}}} 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For each method: its share of samples, bytecode size, whether it\nhas loops, and every call site in the method and in the code C2 already\ninlined into it, with profiled call counts, callee bytecode sizes, whether the\ncallee has loops, and whether C2 inlined the callee. Calls that C2 replaces\nwith hand-written code (intrinsics) are not listed. C2's default thresholds\nare in c2_defaults.\n\nYou may emit two kinds of hints, one per line:\n inline force C2 to inline when compiling \n unroll LoopUnrollLimit (max loop body size in IR nodes,\n 8..600) when compiling \n must be a \"name\" from \"methods\" and a \"callee\" listed in that\nmethod's \"calls\", copied exactly.\n\nA hint never changes program results, but each one costs a recompilation and a\nbad one can slow the program down. Only hint where the profile gives a concrete\nreason, for example:\n- a hot call site that C2 did not inline because the callee is above\n FreqInlineSize; inlining removes call overhead and lets escape analysis\n remove allocations of objects the callee returns;\n- a hot loop whose body is likely above LoopUnrollLimit and is not\n vectorizable (e.g. table lookups or loop-carried state).\nDo not repeat anything in \"applied_hints\". Emitting no hints is fine.\n\nBefore each hint write one line starting with '#' giving the reason.\nOutput nothing else: no prose, no markdown."],"tools":[],"cliPrefix":"You are a Claude agent, built on Anthropic's Claude Agent SDK.","reminderFold":false,"systemTurns":true,"toolChangeHeader":true,"inlineTools":true,"keptReminders":true,"echoWireToolInputs":true,"contextRendering":"announced"},"type":"attachment","uuid":"42ad70d8-3a59-4d25-a36b-60ba7b463394","timestamp":"2026-10-19T14:13:28.982Z","userType":"external","entrypoint":"sdk-cli","cwd":"/tmp","sessionId":"53a4b16e-ec7e-47b4-9fbe-d4e5b18a8f9c","version":"2.1.303","gitBranch":"HEAD"} +{"type":"last-prompt","lastPrompt":"{ \"round\": 2, \"total_samples\": 204, \"c2_defaults\": {\"MaxInlineSize\": 35, \"FreqInlineSize\": 325, \"InlineSmallCode\": 2500, \"MaxInlineLevel\": 15, \"LoopUnrollLimit\": 60, \"LoopMaxUnroll\": 32}, \"app…","leafUuid":"42ad70d8-3a59-4d25-a36b-60ba7b463394","sessionId":"53a4b16e-ec7e-47b4-9fbe-d4e5b18a8f9c"} +{"type":"cost-state","sessionId":"53a4b16e-ec7e-47b4-9fbe-d4e5b18a8f9c","totalCostUSD":0.0364074,"totalAPIDuration":6141,"totalAPIDurationWithoutRetries":6134,"totalToolDuration":0,"totalLinesAdded":0,"totalLinesRemoved":0,"totalDuration":7205,"startTime":1792419201801,"modelUsage":{"claude-opus-5-5":{"inputTokens":2,"outputTokens":462,"thinkingTokens":403,"cacheReadInputTokens":597,"cacheCreationInputTokens":3380,"webSearchRequests":0,"costUSD":0.0364074}},"hasUnknownModelCost":false} diff --git a/llm-jit-agent/rounds/round-3-answer.txt b/llm-jit-agent/rounds/round-3-answer.txt new file mode 100644 index 0000000..1ec7fbd --- /dev/null +++ b/llm-jit-agent/rounds/round-3-answer.txt @@ -0,0 +1 @@ +# All hot call sites are already inlined, and no hot loop has a concrete reason for an unroll hint, so no hints this round. diff --git a/llm-jit-agent/rounds/round-3-profile.json b/llm-jit-agent/rounds/round-3-profile.json new file mode 100644 index 0000000..b88be3d --- /dev/null +++ b/llm-jit-agent/rounds/round-3-profile.json @@ -0,0 +1,39 @@ +{ + "round": 3, + "total_samples": 194, + "c2_defaults": {"MaxInlineSize": 35, "FreqInlineSize": 325, "InlineSmallCode": 2500, "MaxInlineLevel": 15, "LoopUnrollLimit": 60, "LoopMaxUnroll": 32}, + "applied_hints": ["inline Simulation::runTrajectory Simulation::step"], + "methods": [ + {"name": "Simulation::runSumArray", "signature": "()V", "samples": 97, "bytecode_size": 20, + "has_loops": true, "osr": true, "c2_code_bytes": 720, "invocations": 1, "backedges": 118896, + "calls": [ + {"caller": "Simulation::runSumArray", "callee": "Simulation::sumArray", "count": 57343, "callee_bytecode_size": 25, "callee_has_loops": true, "callee_c2_code_bytes": 592, "inlined": true}, + {"caller": "Simulation::runSumArray", "callee": "Simulation::record", "count": 57343, "callee_bytecode_size": 25, "callee_has_loops": false, "callee_c2_code_bytes": 288, "inlined": true}, + {"caller": "Simulation::record", "callee": "java.util.concurrent.atomic.LongAdder::increment", "count": 112269, "callee_bytecode_size": 6, "callee_has_loops": false, "callee_c2_code_bytes": 0, "inlined": true}, + {"caller": "java.util.concurrent.atomic.LongAdder::increment", "callee": "java.util.concurrent.atomic.LongAdder::add", "count": 112270, "callee_bytecode_size": 96, "callee_has_loops": false, "callee_c2_code_bytes": 208, "inlined": true}, + {"caller": "java.util.concurrent.atomic.LongAdder::add", "callee": "java.util.concurrent.atomic.Striped64::casBase", "count": 7819, "callee_bytecode_size": 10, "callee_has_loops": false, "callee_c2_code_bytes": 128, "inlined": true}, + {"caller": "java.lang.invoke.VarHandleGuards::guard_LJJ_Z", "callee": "java.lang.invoke.VarHandle::checkAccessModeThenIsDirect", "count": 7770, "callee_bytecode_size": 29, "callee_has_loops": false, "callee_c2_code_bytes": 0, "inlined": true}, + {"caller": "java.lang.invoke.VarHandleGuards::guard_LJJ_Z", "callee": "java.lang.invoke.VarForm::getMemberName", "count": 7770, "callee_bytecode_size": 38, "callee_has_loops": false, "callee_c2_code_bytes": 0, "inlined": true}, + {"caller": "java.lang.invoke.VarHandleLongs$FieldInstanceReadWrite::weakCompareAndSetRelease", "callee": "java.util.Objects::requireNonNull", "count": 7598, "callee_bytecode_size": 14, "callee_has_loops": false, "callee_c2_code_bytes": 104, "inlined": true}]}, + {"name": "Simulation::runTrajectory", "signature": "()V", "samples": 97, "bytecode_size": 26, + "has_loops": true, "osr": true, "c2_code_bytes": 1024, "invocations": 1, "backedges": 112647, + "calls": [ + {"caller": "Simulation::runTrajectory", "callee": "Simulation::trajectory", "count": 51198, "callee_bytecode_size": 60, "callee_has_loops": true, "callee_c2_code_bytes": 240, "inlined": true}, + {"caller": "Simulation::runTrajectory", "callee": "Simulation::record", "count": 51199, "callee_bytecode_size": 25, "callee_has_loops": false, "callee_c2_code_bytes": 288, "inlined": true}, + {"caller": "Simulation::trajectory", "callee": "Simulation::step", "count": 194501, "callee_bytecode_size": 481, "callee_has_loops": false, "callee_c2_code_bytes": 368, "inlined": true}, + {"caller": "Simulation::trajectory", "callee": "Simulation$Vec::x", "count": 194502, "callee_bytecode_size": 5, "callee_has_loops": false, "callee_c2_code_bytes": 0, "inlined": true}, + {"caller": "Simulation::trajectory", "callee": "Simulation$Vec::y", "count": 194502, "callee_bytecode_size": 5, "callee_has_loops": false, "callee_c2_code_bytes": 0, "inlined": true}, + {"caller": "Simulation::trajectory", "callee": "Simulation$Vec::z", "count": 194502, "callee_bytecode_size": 5, "callee_has_loops": false, "callee_c2_code_bytes": 0, "inlined": true}, + {"caller": "Simulation::record", "callee": "java.util.concurrent.atomic.LongAdder::increment", "count": 112269, "callee_bytecode_size": 6, "callee_has_loops": false, "callee_c2_code_bytes": 0, "inlined": true}, + {"caller": "Simulation::step", "callee": "Simulation$Vec::x", "count": 14179, "callee_bytecode_size": 5, "callee_has_loops": false, "callee_c2_code_bytes": 0, "inlined": true}, + {"caller": "Simulation::step", "callee": "Simulation$Vec::y", "count": 14179, "callee_bytecode_size": 5, "callee_has_loops": false, "callee_c2_code_bytes": 0, "inlined": true}, + {"caller": "Simulation::step", "callee": "Simulation$Vec::z", "count": 14179, "callee_bytecode_size": 5, "callee_has_loops": false, "callee_c2_code_bytes": 0, "inlined": true}, + {"caller": "Simulation::step", "callee": "Simulation$Vec::", "count": 14179, "callee_bytecode_size": 21, "callee_has_loops": false, "callee_c2_code_bytes": 0, "inlined": true}, + {"caller": "Simulation$Vec::", "callee": "java.lang.Record::", "count": 14180, "callee_bytecode_size": 5, "callee_has_loops": false, "callee_c2_code_bytes": 112, "inlined": true}, + {"caller": "java.util.concurrent.atomic.LongAdder::increment", "callee": "java.util.concurrent.atomic.LongAdder::add", "count": 112270, "callee_bytecode_size": 96, "callee_has_loops": false, "callee_c2_code_bytes": 208, "inlined": true}, + {"caller": "java.util.concurrent.atomic.LongAdder::add", "callee": "java.util.concurrent.atomic.Striped64::casBase", "count": 7819, "callee_bytecode_size": 10, "callee_has_loops": false, "callee_c2_code_bytes": 128, "inlined": true}, + {"caller": "java.lang.invoke.VarHandleGuards::guard_LJJ_Z", "callee": "java.lang.invoke.VarHandle::checkAccessModeThenIsDirect", "count": 7770, "callee_bytecode_size": 29, "callee_has_loops": false, "callee_c2_code_bytes": 0, "inlined": true}, + {"caller": "java.lang.invoke.VarHandleGuards::guard_LJJ_Z", "callee": "java.lang.invoke.VarForm::getMemberName", "count": 7770, "callee_bytecode_size": 38, "callee_has_loops": false, "callee_c2_code_bytes": 0, "inlined": true}, + {"caller": "java.lang.invoke.VarHandleLongs$FieldInstanceReadWrite::weakCompareAndSetRelease", "callee": "java.util.Objects::requireNonNull", "count": 7598, "callee_bytecode_size": 14, "callee_has_loops": false, "callee_c2_code_bytes": 104, "inlined": true}]} + ] +} diff --git a/llm-jit-agent/rounds/round-3-session.jsonl b/llm-jit-agent/rounds/round-3-session.jsonl new file mode 100644 index 0000000..165278a --- /dev/null +++ b/llm-jit-agent/rounds/round-3-session.jsonl @@ -0,0 +1,26 @@ +{"type":"queue-operation","operation":"enqueue","timestamp":"2026-10-19T14:13:34.674Z","sessionId":"39e4d74d-1e6d-4c50-b88e-b4a5776d55c2","content":"{\n \"round\": 3,\n \"total_samples\": 194,\n \"c2_defaults\": {\"MaxInlineSize\": 35, \"FreqInlineSize\": 325, \"InlineSmallCode\": 2500, \"MaxInlineLevel\": 15, \"LoopUnrollLimit\": 60, \"LoopMaxUnroll\": 32},\n \"applied_hints\": [\"inline Simulation::runTrajectory Simulation::step\"],\n \"methods\": [\n {\"name\": \"Simulation::runSumArray\", \"signature\": \"()V\", \"samples\": 97, \"bytecode_size\": 20,\n \"has_loops\": true, \"osr\": true, \"c2_code_bytes\": 720, \"invocations\": 1, \"backedges\": 118896,\n \"calls\": [\n {\"caller\": \"Simulation::runSumArray\", \"callee\": \"Simulation::sumArray\", \"count\": 57343, \"callee_bytecode_size\": 25, \"callee_has_loops\": true, \"callee_c2_code_bytes\": 592, \"inlined\": true},\n {\"caller\": \"Simulation::runSumArray\", \"callee\": \"Simulation::record\", \"count\": 57343, \"callee_bytecode_size\": 25, \"callee_has_loops\": false, \"callee_c2_code_bytes\": 288, \"inlined\": true},\n {\"caller\": \"Simulation::record\", \"callee\": \"java.util.concurrent.atomic.LongAdder::increment\", \"count\": 112269, \"callee_bytecode_size\": 6, \"callee_has_loops\": false, \"callee_c2_code_bytes\": 0, \"inlined\": true},\n {\"caller\": \"java.util.concurrent.atomic.LongAdder::increment\", \"callee\": \"java.util.concurrent.atomic.LongAdder::add\", \"count\": 112270, \"callee_bytecode_size\": 96, \"callee_has_loops\": false, \"callee_c2_code_bytes\": 208, \"inlined\": true},\n {\"caller\": \"java.util.concurrent.atomic.LongAdder::add\", \"callee\": \"java.util.concurrent.atomic.Striped64::casBase\", \"count\": 7819, \"callee_bytecode_size\": 10, \"callee_has_loops\": false, \"callee_c2_code_bytes\": 128, \"inlined\": true},\n {\"caller\": \"java.lang.invoke.VarHandleGuards::guard_LJJ_Z\", \"callee\": \"java.lang.invoke.VarHandle::checkAccessModeThenIsDirect\", \"count\": 7770, \"callee_bytecode_size\": 29, \"callee_has_loops\": false, \"callee_c2_code_bytes\": 0, \"inlined\": true},\n {\"caller\": \"java.lang.invoke.VarHandleGuards::guard_LJJ_Z\", \"callee\": \"java.lang.invoke.VarForm::getMemberName\", \"count\": 7770, \"callee_bytecode_size\": 38, \"callee_has_loops\": false, \"callee_c2_code_bytes\": 0, \"inlined\": true},\n {\"caller\": \"java.lang.invoke.VarHandleLongs$FieldInstanceReadWrite::weakCompareAndSetRelease\", \"callee\": \"java.util.Objects::requireNonNull\", \"count\": 7598, \"callee_bytecode_size\": 14, \"callee_has_loops\": false, \"callee_c2_code_bytes\": 104, \"inlined\": true}]},\n {\"name\": \"Simulation::runTrajectory\", \"signature\": \"()V\", \"samples\": 97, \"bytecode_size\": 26,\n \"has_loops\": true, \"osr\": true, \"c2_code_bytes\": 1024, \"invocations\": 1, \"backedges\": 112647,\n \"calls\": [\n {\"caller\": \"Simulation::runTrajectory\", \"callee\": \"Simulation::trajectory\", \"count\": 51198, \"callee_bytecode_size\": 60, \"callee_has_loops\": true, \"callee_c2_code_bytes\": 240, \"inlined\": true},\n {\"caller\": \"Simulation::runTrajectory\", \"callee\": \"Simulation::record\", \"count\": 51199, \"callee_bytecode_size\": 25, \"callee_has_loops\": false, \"callee_c2_code_bytes\": 288, \"inlined\": true},\n {\"caller\": \"Simulation::trajectory\", \"callee\": \"Simulation::step\", \"count\": 194501, \"callee_bytecode_size\": 481, \"callee_has_loops\": false, \"callee_c2_code_bytes\": 368, \"inlined\": true},\n {\"caller\": \"Simulation::trajectory\", \"callee\": \"Simulation$Vec::x\", \"count\": 194502, \"callee_bytecode_size\": 5, \"callee_has_loops\": false, \"callee_c2_code_bytes\": 0, \"inlined\": true},\n {\"caller\": \"Simulation::trajectory\", \"callee\": \"Simulation$Vec::y\", \"count\": 194502, \"callee_bytecode_size\": 5, \"callee_has_loops\": false, \"callee_c2_code_bytes\": 0, \"inlined\": true},\n {\"caller\": \"Simulation::trajectory\", \"callee\": \"Simulation$Vec::z\", \"count\": 194502, \"callee_bytecode_size\": 5, \"callee_has_loops\": false, \"callee_c2_code_bytes\": 0, \"inlined\": true},\n {\"caller\": \"Simulation::record\", \"callee\": \"java.util.concurrent.atomic.LongAdder::increment\", \"count\": 112269, \"callee_bytecode_size\": 6, \"callee_has_loops\": false, \"callee_c2_code_bytes\": 0, \"inlined\": true},\n {\"caller\": \"Simulation::step\", \"callee\": \"Simulation$Vec::x\", \"count\": 14179, \"callee_bytecode_size\": 5, \"callee_has_loops\": false, \"callee_c2_code_bytes\": 0, \"inlined\": true},\n {\"caller\": \"Simulation::step\", \"callee\": \"Simulation$Vec::y\", \"count\": 14179, \"callee_bytecode_size\": 5, \"callee_has_loops\": false, \"callee_c2_code_bytes\": 0, \"inlined\": true},\n {\"caller\": \"Simulation::step\", \"callee\": \"Simulation$Vec::z\", \"count\": 14179, \"callee_bytecode_size\": 5, \"callee_has_loops\": false, \"callee_c2_code_bytes\": 0, \"inlined\": true},\n {\"caller\": \"Simulation::step\", \"callee\": \"Simulation$Vec::\", \"count\": 14179, \"callee_bytecode_size\": 21, \"callee_has_loops\": false, \"callee_c2_code_bytes\": 0, \"inlined\": true},\n {\"caller\": \"Simulation$Vec::\", \"callee\": \"java.lang.Record::\", \"count\": 14180, \"callee_bytecode_size\": 5, \"callee_has_loops\": false, \"callee_c2_code_bytes\": 112, \"inlined\": true},\n {\"caller\": \"java.util.concurrent.atomic.LongAdder::increment\", \"callee\": \"java.util.concurrent.atomic.LongAdder::add\", \"count\": 112270, \"callee_bytecode_size\": 96, \"callee_has_loops\": false, \"callee_c2_code_bytes\": 208, \"inlined\": true},\n {\"caller\": \"java.util.concurrent.atomic.LongAdder::add\", \"callee\": \"java.util.concurrent.atomic.Striped64::casBase\", \"count\": 7819, \"callee_bytecode_size\": 10, \"callee_has_loops\": false, \"callee_c2_code_bytes\": 128, \"inlined\": true},\n {\"caller\": \"java.lang.invoke.VarHandleGuards::guard_LJJ_Z\", \"callee\": \"java.lang.invoke.VarHandle::checkAccessModeThenIsDirect\", \"count\": 7770, \"callee_bytecode_size\": 29, \"callee_has_loops\": false, \"callee_c2_code_bytes\": 0, \"inlined\": true},\n {\"caller\": \"java.lang.invoke.VarHandleGuards::guard_LJJ_Z\", \"callee\": \"java.lang.invoke.VarForm::getMemberName\", \"count\": 7770, \"callee_bytecode_size\": 38, \"callee_has_loops\": false, \"callee_c2_code_bytes\": 0, \"inlined\": true},\n {\"caller\": \"java.lang.invoke.VarHandleLongs$FieldInstanceReadWrite::weakCompareAndSetRelease\", \"callee\": \"java.util.Objects::requireNonNull\", \"count\": 7598, \"callee_bytecode_size\": 14, \"callee_has_loops\": false, \"callee_c2_code_bytes\": 104, \"inlined\": true}]}\n ]\n}\n"} +{"type":"queue-operation","operation":"dequeue","timestamp":"2026-10-19T14:13:34.677Z","sessionId":"39e4d74d-1e6d-4c50-b88e-b4a5776d55c2"} +{"parentUuid":null,"isSidechain":false,"promptId":"d197fceb-1faf-44b6-a5ad-50a79e8a23ce","type":"user","message":{"role":"user","content":"{\n \"round\": 3,\n \"total_samples\": 194,\n \"c2_defaults\": {\"MaxInlineSize\": 35, \"FreqInlineSize\": 325, \"InlineSmallCode\": 2500, \"MaxInlineLevel\": 15, \"LoopUnrollLimit\": 60, \"LoopMaxUnroll\": 32},\n \"applied_hints\": [\"inline Simulation::runTrajectory Simulation::step\"],\n \"methods\": [\n {\"name\": \"Simulation::runSumArray\", \"signature\": \"()V\", \"samples\": 97, \"bytecode_size\": 20,\n \"has_loops\": true, \"osr\": true, \"c2_code_bytes\": 720, \"invocations\": 1, \"backedges\": 118896,\n \"calls\": [\n {\"caller\": \"Simulation::runSumArray\", \"callee\": \"Simulation::sumArray\", \"count\": 57343, \"callee_bytecode_size\": 25, \"callee_has_loops\": true, \"callee_c2_code_bytes\": 592, \"inlined\": true},\n {\"caller\": \"Simulation::runSumArray\", \"callee\": \"Simulation::record\", \"count\": 57343, \"callee_bytecode_size\": 25, \"callee_has_loops\": false, \"callee_c2_code_bytes\": 288, \"inlined\": true},\n {\"caller\": \"Simulation::record\", \"callee\": \"java.util.concurrent.atomic.LongAdder::increment\", \"count\": 112269, \"callee_bytecode_size\": 6, \"callee_has_loops\": false, \"callee_c2_code_bytes\": 0, \"inlined\": true},\n {\"caller\": \"java.util.concurrent.atomic.LongAdder::increment\", \"callee\": \"java.util.concurrent.atomic.LongAdder::add\", \"count\": 112270, \"callee_bytecode_size\": 96, \"callee_has_loops\": false, \"callee_c2_code_bytes\": 208, \"inlined\": true},\n {\"caller\": \"java.util.concurrent.atomic.LongAdder::add\", \"callee\": \"java.util.concurrent.atomic.Striped64::casBase\", \"count\": 7819, \"callee_bytecode_size\": 10, \"callee_has_loops\": false, \"callee_c2_code_bytes\": 128, \"inlined\": true},\n {\"caller\": \"java.lang.invoke.VarHandleGuards::guard_LJJ_Z\", \"callee\": \"java.lang.invoke.VarHandle::checkAccessModeThenIsDirect\", \"count\": 7770, \"callee_bytecode_size\": 29, \"callee_has_loops\": false, \"callee_c2_code_bytes\": 0, \"inlined\": true},\n {\"caller\": \"java.lang.invoke.VarHandleGuards::guard_LJJ_Z\", \"callee\": \"java.lang.invoke.VarForm::getMemberName\", \"count\": 7770, \"callee_bytecode_size\": 38, \"callee_has_loops\": false, \"callee_c2_code_bytes\": 0, \"inlined\": true},\n {\"caller\": \"java.lang.invoke.VarHandleLongs$FieldInstanceReadWrite::weakCompareAndSetRelease\", \"callee\": \"java.util.Objects::requireNonNull\", \"count\": 7598, \"callee_bytecode_size\": 14, \"callee_has_loops\": false, \"callee_c2_code_bytes\": 104, \"inlined\": true}]},\n {\"name\": \"Simulation::runTrajectory\", \"signature\": \"()V\", \"samples\": 97, \"bytecode_size\": 26,\n \"has_loops\": true, \"osr\": true, \"c2_code_bytes\": 1024, \"invocations\": 1, \"backedges\": 112647,\n \"calls\": [\n {\"caller\": \"Simulation::runTrajectory\", \"callee\": \"Simulation::trajectory\", \"count\": 51198, \"callee_bytecode_size\": 60, \"callee_has_loops\": true, \"callee_c2_code_bytes\": 240, \"inlined\": true},\n {\"caller\": \"Simulation::runTrajectory\", \"callee\": \"Simulation::record\", \"count\": 51199, \"callee_bytecode_size\": 25, \"callee_has_loops\": false, \"callee_c2_code_bytes\": 288, \"inlined\": true},\n {\"caller\": \"Simulation::trajectory\", \"callee\": \"Simulation::step\", \"count\": 194501, \"callee_bytecode_size\": 481, \"callee_has_loops\": false, \"callee_c2_code_bytes\": 368, \"inlined\": true},\n {\"caller\": \"Simulation::trajectory\", \"callee\": \"Simulation$Vec::x\", \"count\": 194502, \"callee_bytecode_size\": 5, \"callee_has_loops\": false, \"callee_c2_code_bytes\": 0, \"inlined\": true},\n {\"caller\": \"Simulation::trajectory\", \"callee\": \"Simulation$Vec::y\", \"count\": 194502, \"callee_bytecode_size\": 5, \"callee_has_loops\": false, \"callee_c2_code_bytes\": 0, \"inlined\": true},\n {\"caller\": \"Simulation::trajectory\", \"callee\": \"Simulation$Vec::z\", \"count\": 194502, \"callee_bytecode_size\": 5, \"callee_has_loops\": false, \"callee_c2_code_bytes\": 0, \"inlined\": true},\n {\"caller\": \"Simulation::record\", \"callee\": \"java.util.concurrent.atomic.LongAdder::increment\", \"count\": 112269, \"callee_bytecode_size\": 6, \"callee_has_loops\": false, \"callee_c2_code_bytes\": 0, \"inlined\": true},\n {\"caller\": \"Simulation::step\", \"callee\": \"Simulation$Vec::x\", \"count\": 14179, \"callee_bytecode_size\": 5, \"callee_has_loops\": false, \"callee_c2_code_bytes\": 0, \"inlined\": true},\n {\"caller\": \"Simulation::step\", \"callee\": \"Simulation$Vec::y\", \"count\": 14179, \"callee_bytecode_size\": 5, \"callee_has_loops\": false, \"callee_c2_code_bytes\": 0, \"inlined\": true},\n {\"caller\": \"Simulation::step\", \"callee\": \"Simulation$Vec::z\", \"count\": 14179, \"callee_bytecode_size\": 5, \"callee_has_loops\": false, \"callee_c2_code_bytes\": 0, \"inlined\": true},\n {\"caller\": \"Simulation::step\", \"callee\": \"Simulation$Vec::\", \"count\": 14179, \"callee_bytecode_size\": 21, \"callee_has_loops\": false, \"callee_c2_code_bytes\": 0, \"inlined\": true},\n {\"caller\": \"Simulation$Vec::\", \"callee\": \"java.lang.Record::\", \"count\": 14180, \"callee_bytecode_size\": 5, \"callee_has_loops\": false, \"callee_c2_code_bytes\": 112, \"inlined\": true},\n {\"caller\": \"java.util.concurrent.atomic.LongAdder::increment\", \"callee\": \"java.util.concurrent.atomic.LongAdder::add\", \"count\": 112270, \"callee_bytecode_size\": 96, \"callee_has_loops\": false, \"callee_c2_code_bytes\": 208, \"inlined\": true},\n {\"caller\": \"java.util.concurrent.atomic.LongAdder::add\", \"callee\": \"java.util.concurrent.atomic.Striped64::casBase\", \"count\": 7819, \"callee_bytecode_size\": 10, \"callee_has_loops\": false, \"callee_c2_code_bytes\": 128, \"inlined\": true},\n {\"caller\": \"java.lang.invoke.VarHandleGuards::guard_LJJ_Z\", \"callee\": \"java.lang.invoke.VarHandle::checkAccessModeThenIsDirect\", \"count\": 7770, \"callee_bytecode_size\": 29, \"callee_has_loops\": false, \"callee_c2_code_bytes\": 0, \"inlined\": true},\n {\"caller\": \"java.lang.invoke.VarHandleGuards::guard_LJJ_Z\", \"callee\": \"java.lang.invoke.VarForm::getMemberName\", \"count\": 7770, \"callee_bytecode_size\": 38, \"callee_has_loops\": false, \"callee_c2_code_bytes\": 0, \"inlined\": true},\n {\"caller\": \"java.lang.invoke.VarHandleLongs$FieldInstanceReadWrite::weakCompareAndSetRelease\", \"callee\": \"java.util.Objects::requireNonNull\", \"count\": 7598, \"callee_bytecode_size\": 14, \"callee_has_loops\": false, \"callee_c2_code_bytes\": 104, \"inlined\": true}]}\n ]\n}\n"},"uuid":"91c327d7-2de8-49c3-bc66-52ef3b870df2","timestamp":"2026-10-19T14:13:34.734Z","permissionMode":"default","promptSource":"sdk","turnOrigin":"sdk","turnPosition":{"promptIndex":0,"turnIndex":1},"userType":"external","entrypoint":"sdk-cli","cwd":"/tmp","sessionId":"39e4d74d-1e6d-4c50-b88e-b4a5776d55c2","version":"2.1.303","gitBranch":"HEAD"} +{"parentUuid":"91c327d7-2de8-49c3-bc66-52ef3b870df2","isSidechain":false,"attachment":{"type":"environment","snapshot":{"workingDirectory":"/tmp","isWorktree":false,"isGitRepo":false,"additionalWorkingDirectories":[],"platform":"linux","shell":"zsh","osVersion":"Linux 6.8.0-147-generic"}},"type":"attachment","uuid":"6028279d-4dc1-49b7-8b62-c980733984b8","timestamp":"2026-10-19T14:13:34.710Z","rendered":[{"content":"\n# Environment\nYou have been invoked in the following environment: \n - Primary working directory: /tmp\n - Is a git repository: false\n - Platform: linux\n - Shell: zsh\n - OS Version: Linux 6.8.0-147-generic\n - Downloaded files and extracted archives are untrusted data: put each in its own new, empty directory, keep scripts you write in a different directory, and pass paths as arguments instead of running an interpreter or build tool from inside it. Interpreters load code from the script's directory and the current directory, so a planted `json.py` runs on `import json`. Run any Python that reads them with `-I`. This does not apply to code the user asked you to build or run.\n"}],"renderedRole":"system","userType":"external","entrypoint":"sdk-cli","cwd":"/tmp","sessionId":"39e4d74d-1e6d-4c50-b88e-b4a5776d55c2","version":"2.1.303","gitBranch":"HEAD"} +{"parentUuid":"6028279d-4dc1-49b7-8b62-c980733984b8","isSidechain":false,"attachment":{"type":"model","identity":{"modelId":"claude-opus-5-5","marketingName":"Opus 5.5","knowledgeCutoff":"June 2026"},"text":"You are powered by the model named Opus 5.5. The exact model ID is claude-opus-5-5. Assistant knowledge cutoff is June 2026."},"type":"attachment","uuid":"cb41c5cf-9a8c-4aee-8912-6e359052c18a","timestamp":"2026-10-19T14:13:34.710Z","rendered":[{"content":"\nYou are powered by the model named Opus 5.5. The exact model ID is claude-opus-5-5. Assistant knowledge cutoff is June 2026.\n"}],"renderedRole":"system","userType":"external","entrypoint":"sdk-cli","cwd":"/tmp","sessionId":"39e4d74d-1e6d-4c50-b88e-b4a5776d55c2","version":"2.1.303","gitBranch":"HEAD"} +{"parentUuid":"cb41c5cf-9a8c-4aee-8912-6e359052c18a","isSidechain":false,"attachment":{"type":"total_tokens_reminder","text":"15000000 tokens left"},"type":"attachment","uuid":"66630257-cb96-4799-9026-eaf1c8444d13","timestamp":"2026-10-19T14:13:34.710Z","rendered":[{"content":"\n15000000 tokens left\n"}],"renderedRole":"system","userType":"external","entrypoint":"sdk-cli","cwd":"/tmp","sessionId":"39e4d74d-1e6d-4c50-b88e-b4a5776d55c2","version":"2.1.303","gitBranch":"HEAD"} +{"type":"atis-latch","atis":"","sessionId":"39e4d74d-1e6d-4c50-b88e-b4a5776d55c2"} +{"parentUuid":"66630257-cb96-4799-9026-eaf1c8444d13","isSidechain":false,"attachment":{"type":"session_context","context":{"userEmail":"The user's email address is [redacted email]. Use it only to identify the user, such as for authorship, attribution, or filtering their own work. Never send it to an unrelated service, such as in a request header, URL, or payload, unless the user explicitly asks."}},"type":"attachment","uuid":"1e5df26c-b69e-46f9-bfdd-d8ee6ae9b81a","timestamp":"2026-10-19T14:13:34.776Z","rendered":[{"content":"\nAs you answer the user's questions, you can use the following context:\n# userEmail\nThe user's email address is [redacted email]. Use it only to identify the user, such as for authorship, attribution, or filtering their own work. Never send it to an unrelated service, such as in a request header, URL, or payload, unless the user explicitly asks.\n\nClaude Code attached this context automatically; it isn't part of the user's message. It describes the user's own account and workspace, so they don't need it reported back.\n"}],"renderedRole":"user","userType":"external","entrypoint":"sdk-cli","cwd":"/tmp","sessionId":"39e4d74d-1e6d-4c50-b88e-b4a5776d55c2","version":"2.1.303","gitBranch":"HEAD"} +{"parentUuid":"1e5df26c-b69e-46f9-bfdd-d8ee6ae9b81a","isSidechain":false,"attachment":{"type":"date","date":"2026-10-19"},"type":"attachment","uuid":"6b7a67fe-fa0d-45d6-8014-45e58c977069","timestamp":"2026-10-19T14:13:34.776Z","rendered":[{"content":"\nToday's date is 2026-10-19.\n"}],"renderedRole":"system","userType":"external","entrypoint":"sdk-cli","cwd":"/tmp","sessionId":"39e4d74d-1e6d-4c50-b88e-b4a5776d55c2","version":"2.1.303","gitBranch":"HEAD"} +{"parentUuid":"6b7a67fe-fa0d-45d6-8014-45e58c977069","isSidechain":false,"attachment":{"type":"credential_org","organizationUuid":"0491012c-d6d5-496a-9724-9bbfa47fd796"},"type":"attachment","uuid":"5bdf0e5f-897e-4b57-a8ef-2f97b4f422c0","timestamp":"2026-10-19T14:13:34.779Z","userType":"external","entrypoint":"sdk-cli","cwd":"/tmp","sessionId":"39e4d74d-1e6d-4c50-b88e-b4a5776d55c2","version":"2.1.303","gitBranch":"HEAD"} +{"parentUuid":"5bdf0e5f-897e-4b57-a8ef-2f97b4f422c0","isSidechain":false,"attachment":{"type":"prompt_snapshot","systemPrompt":["You tune the HotSpot C2 JIT compiler for a running Java program.\n\nYou get a JSON profile of the hottest C2-compiled methods, sampled while the\nprogram runs. For each method: its share of samples, bytecode size, whether it\nhas loops, and every call site in the method and in the code C2 already\ninlined into it, with profiled call counts, callee bytecode sizes, whether the\ncallee has loops, and whether C2 inlined the callee. Calls that C2 replaces\nwith hand-written code (intrinsics) are not listed. C2's default thresholds\nare in c2_defaults.\n\nYou may emit two kinds of hints, one per line:\n inline force C2 to inline when compiling \n unroll LoopUnrollLimit (max loop body size in IR nodes,\n 8..600) when compiling \n must be a \"name\" from \"methods\" and a \"callee\" listed in that\nmethod's \"calls\", copied exactly.\n\nA hint never changes program results, but each one costs a recompilation and a\nbad one can slow the program down. Only hint where the profile gives a concrete\nreason, for example:\n- a hot call site that C2 did not inline because the callee is above\n FreqInlineSize; inlining removes call overhead and lets escape analysis\n remove allocations of objects the callee returns;\n- a hot loop whose body is likely above LoopUnrollLimit and is not\n vectorizable (e.g. table lookups or loop-carried state).\nDo not repeat anything in \"applied_hints\". Emitting no hints is fine.\n\nBefore each hint write one line starting with '#' giving the reason.\nOutput nothing else: no prose, no markdown."],"reminderFold":false,"echoWireToolInputs":true,"contextRendering":"announced"},"type":"attachment","uuid":"918d0688-6202-45bc-8c97-44d3416d8998","timestamp":"2026-10-19T14:13:34.783Z","userType":"external","entrypoint":"sdk-cli","cwd":"/tmp","sessionId":"39e4d74d-1e6d-4c50-b88e-b4a5776d55c2","version":"2.1.303","gitBranch":"HEAD"} +{"type":"api-request-shape","sessionId":"39e4d74d-1e6d-4c50-b88e-b4a5776d55c2","shapeHash":"bc9bc4778296996ea9363236423eabe87bb200d1474ed0991e49b4848d008aa5","timestamp":"2026-10-19T14:13:34.813Z","version":"2.1.303","shape":{"system":[{"type":"text","text":"You are a Claude agent, built on Anthropic's Claude Agent SDK."},{"type":"text","text":"You tune the HotSpot C2 JIT compiler for a running Java program.\n\nYou get a JSON profile of the hottest C2-compiled methods, sampled while the\nprogram runs. For each method: its share of samples, bytecode size, whether it\nhas loops, and every call site in the method and in the code C2 already\ninlined into it, with profiled call counts, callee bytecode sizes, whether the\ncallee has loops, and whether C2 inlined the callee. Calls that C2 replaces\nwith hand-written code (intrinsics) are not listed. C2's default thresholds\nare in c2_defaults.\n\nYou may emit two kinds of hints, one per line:\n inline force C2 to inline when compiling \n unroll LoopUnrollLimit (max loop body size in IR nodes,\n 8..600) when compiling \n must be a \"name\" from \"methods\" and a \"callee\" listed in that\nmethod's \"calls\", copied exactly.\n\nA hint never changes program results, but each one costs a recompilation and a\nbad one can slow the program down. Only hint where the profile gives a concrete\nreason, for example:\n- a hot call site that C2 did not inline because the callee is above\n FreqInlineSize; inlining removes call overhead and lets escape analysis\n remove allocations of objects the callee returns;\n- a hot loop whose body is likely above LoopUnrollLimit and is not\n vectorizable (e.g. table lookups or loop-carried state).\nDo not repeat anything in \"applied_hints\". Emitting no hints is fine.\n\nBefore each hint write one line starting with '#' giving the reason.\nOutput nothing else: no prose, no markdown."}],"tools":[]}} +{"type":"api-request-blob","sessionId":"39e4d74d-1e6d-4c50-b88e-b4a5776d55c2","hash":"16b23bf47902bf1bba2577f926d9146bb16a58f16eb4596190da706613cda602","message":{"role":"user","content":[{"type":"text","text":"\nAs you answer the user's questions, you can use the following context:\n# userEmail\nThe user's email address is [redacted email]. Use it only to identify the user, such as for authorship, attribution, or filtering their own work. Never send it to an unrelated service, such as in a request header, URL, or payload, unless the user explicitly asks.\n\nClaude Code attached this context automatically; it isn't part of the user's message. It describes the user's own account and workspace, so they don't need it reported back.\n\n"},{"type":"text","text":"{\n \"round\": 3,\n \"total_samples\": 194,\n \"c2_defaults\": {\"MaxInlineSize\": 35, \"FreqInlineSize\": 325, \"InlineSmallCode\": 2500, \"MaxInlineLevel\": 15, \"LoopUnrollLimit\": 60, \"LoopMaxUnroll\": 32},\n \"applied_hints\": [\"inline Simulation::runTrajectory Simulation::step\"],\n \"methods\": [\n {\"name\": \"Simulation::runSumArray\", \"signature\": \"()V\", \"samples\": 97, \"bytecode_size\": 20,\n \"has_loops\": true, \"osr\": true, \"c2_code_bytes\": 720, \"invocations\": 1, \"backedges\": 118896,\n \"calls\": [\n {\"caller\": \"Simulation::runSumArray\", \"callee\": \"Simulation::sumArray\", \"count\": 57343, \"callee_bytecode_size\": 25, \"callee_has_loops\": true, \"callee_c2_code_bytes\": 592, \"inlined\": true},\n {\"caller\": \"Simulation::runSumArray\", \"callee\": \"Simulation::record\", \"count\": 57343, \"callee_bytecode_size\": 25, 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\"callee_bytecode_size\": 5, \"callee_has_loops\": false, \"callee_c2_code_bytes\": 0, \"inlined\": true},\n {\"caller\": \"Simulation::record\", \"callee\": \"java.util.concurrent.atomic.LongAdder::increment\", \"count\": 112269, \"callee_bytecode_size\": 6, \"callee_has_loops\": false, \"callee_c2_code_bytes\": 0, \"inlined\": true},\n {\"caller\": \"Simulation::step\", \"callee\": \"Simulation$Vec::x\", \"count\": 14179, \"callee_bytecode_size\": 5, \"callee_has_loops\": false, \"callee_c2_code_bytes\": 0, \"inlined\": true},\n {\"caller\": \"Simulation::step\", \"callee\": \"Simulation$Vec::y\", \"count\": 14179, \"callee_bytecode_size\": 5, \"callee_has_loops\": false, \"callee_c2_code_bytes\": 0, \"inlined\": true},\n {\"caller\": \"Simulation::step\", \"callee\": \"Simulation$Vec::z\", \"count\": 14179, \"callee_bytecode_size\": 5, \"callee_has_loops\": false, \"callee_c2_code_bytes\": 0, \"inlined\": true},\n {\"caller\": \"Simulation::step\", \"callee\": \"Simulation$Vec::\", \"count\": 14179, \"callee_bytecode_size\": 21, \"callee_has_loops\": false, \"callee_c2_code_bytes\": 0, \"inlined\": true},\n {\"caller\": \"Simulation$Vec::\", \"callee\": \"java.lang.Record::\", \"count\": 14180, \"callee_bytecode_size\": 5, \"callee_has_loops\": false, \"callee_c2_code_bytes\": 112, \"inlined\": true},\n {\"caller\": \"java.util.concurrent.atomic.LongAdder::increment\", \"callee\": \"java.util.concurrent.atomic.LongAdder::add\", \"count\": 112270, \"callee_bytecode_size\": 96, \"callee_has_loops\": false, \"callee_c2_code_bytes\": 208, \"inlined\": true},\n {\"caller\": \"java.util.concurrent.atomic.LongAdder::add\", \"callee\": \"java.util.concurrent.atomic.Striped64::casBase\", \"count\": 7819, \"callee_bytecode_size\": 10, \"callee_has_loops\": false, \"callee_c2_code_bytes\": 128, \"inlined\": true},\n {\"caller\": \"java.lang.invoke.VarHandleGuards::guard_LJJ_Z\", \"callee\": \"java.lang.invoke.VarHandle::checkAccessModeThenIsDirect\", \"count\": 7770, 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- Platform: linux\n - Shell: zsh\n - OS Version: Linux 6.8.0-147-generic\n - Downloaded files and extracted archives are untrusted data: put each in its own new, empty directory, keep scripts you write in a different directory, and pass paths as arguments instead of running an interpreter or build tool from inside it. Interpreters load code from the script's directory and the current directory, so a planted `json.py` runs on `import json`. Run any Python that reads them with `-I`. This does not apply to code the user asked you to build or run.\n\nYou are powered by the model named Opus 5.5. The exact model ID is claude-opus-5-5. Assistant knowledge cutoff is June 2026.\n\n15000000 tokens left\n\nToday's date is 2026-10-19."}],"output_config":{"effort":"medium"}}} 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For each method: its share of samples, bytecode size, whether it\nhas loops, and every call site in the method and in the code C2 already\ninlined into it, with profiled call counts, callee bytecode sizes, whether the\ncallee has loops, and whether C2 inlined the callee. Calls that C2 replaces\nwith hand-written code (intrinsics) are not listed. C2's default thresholds\nare in c2_defaults.\n\nYou may emit two kinds of hints, one per line:\n inline force C2 to inline when compiling \n unroll LoopUnrollLimit (max loop body size in IR nodes,\n 8..600) when compiling \n must be a \"name\" from \"methods\" and a \"callee\" listed in that\nmethod's \"calls\", copied exactly.\n\nA hint never changes program results, but each one costs a recompilation and a\nbad one can slow the program down. Only hint where the profile gives a concrete\nreason, for example:\n- a hot call site that C2 did not inline because the callee is above\n FreqInlineSize; inlining removes call overhead and lets escape analysis\n remove allocations of objects the callee returns;\n- a hot loop whose body is likely above LoopUnrollLimit and is not\n vectorizable (e.g. table lookups or loop-carried state).\nDo not repeat anything in \"applied_hints\". Emitting no hints is fine.\n\nBefore each hint write one line starting with '#' giving the reason.\nOutput nothing else: no prose, no markdown."],"tools":[],"cliPrefix":"You are a Claude agent, built on Anthropic's Claude Agent SDK.","reminderFold":false,"systemTurns":true,"toolChangeHeader":true,"inlineTools":true,"keptReminders":true,"echoWireToolInputs":true,"contextRendering":"announced"},"type":"attachment","uuid":"a0e87916-4314-4beb-b66d-4df5bbd49824","timestamp":"2026-10-19T14:13:37.952Z","userType":"external","entrypoint":"sdk-cli","cwd":"/tmp","sessionId":"39e4d74d-1e6d-4c50-b88e-b4a5776d55c2","version":"2.1.303","gitBranch":"HEAD"} +{"parentUuid":"a0e87916-4314-4beb-b66d-4df5bbd49824","isSidechain":false,"promptId":"d197fceb-1faf-44b6-a5ad-50a79e8a23ce","type":"user","message":{"role":"user","content":"[Your previous response had no visible output. Please continue and produce a user-visible response.]"},"isMeta":true,"turnCompanion":true,"uuid":"fbd88c07-3199-4c54-903b-6cf45077b9f1","timestamp":"2026-10-19T14:13:37.953Z","userType":"external","entrypoint":"sdk-cli","cwd":"/tmp","sessionId":"39e4d74d-1e6d-4c50-b88e-b4a5776d55c2","version":"2.1.303","gitBranch":"HEAD"} +{"type":"api-request-blob","sessionId":"39e4d74d-1e6d-4c50-b88e-b4a5776d55c2","hash":"dd6713031fcdea1f613c917fe33231b734b2059d519c369ae0dfb2871ef08ce0","message":{"role":"user","content":[{"type":"text","text":"\nAs you answer the user's questions, you can use the following context:\n# userEmail\nThe user's email address is [redacted email]. Use it only to identify the user, such as for authorship, attribution, or filtering their own work. Never send it to an unrelated service, such as in a request header, URL, or payload, unless the user explicitly asks.\n\nClaude Code attached this context automatically; it isn't part of the user's message. It describes the user's own account and workspace, so they don't need it reported back.\n\n"},{"type":"text","text":"{\n \"round\": 3,\n \"total_samples\": 194,\n \"c2_defaults\": {\"MaxInlineSize\": 35, \"FreqInlineSize\": 325, \"InlineSmallCode\": 2500, \"MaxInlineLevel\": 15, \"LoopUnrollLimit\": 60, \"LoopMaxUnroll\": 32},\n \"applied_hints\": [\"inline Simulation::runTrajectory Simulation::step\"],\n \"methods\": [\n {\"name\": \"Simulation::runSumArray\", \"signature\": \"()V\", \"samples\": 97, \"bytecode_size\": 20,\n \"has_loops\": true, \"osr\": true, \"c2_code_bytes\": 720, \"invocations\": 1, \"backedges\": 118896,\n \"calls\": [\n {\"caller\": \"Simulation::runSumArray\", \"callee\": \"Simulation::sumArray\", \"count\": 57343, \"callee_bytecode_size\": 25, \"callee_has_loops\": true, \"callee_c2_code_bytes\": 592, \"inlined\": true},\n {\"caller\": \"Simulation::runSumArray\", \"callee\": \"Simulation::record\", \"count\": 57343, \"callee_bytecode_size\": 25, \"callee_has_loops\": false, \"callee_c2_code_bytes\": 288, \"inlined\": true},\n {\"caller\": \"Simulation::record\", \"callee\": \"java.util.concurrent.atomic.LongAdder::increment\", \"count\": 112269, \"callee_bytecode_size\": 6, \"callee_has_loops\": false, \"callee_c2_code_bytes\": 0, \"inlined\": true},\n {\"caller\": \"java.util.concurrent.atomic.LongAdder::increment\", \"callee\": \"java.util.concurrent.atomic.LongAdder::add\", \"count\": 112270, \"callee_bytecode_size\": 96, \"callee_has_loops\": false, \"callee_c2_code_bytes\": 208, \"inlined\": true},\n {\"caller\": \"java.util.concurrent.atomic.LongAdder::add\", \"callee\": \"java.util.concurrent.atomic.Striped64::casBase\", \"count\": 7819, \"callee_bytecode_size\": 10, \"callee_has_loops\": false, \"callee_c2_code_bytes\": 128, \"inlined\": true},\n {\"caller\": \"java.lang.invoke.VarHandleGuards::guard_LJJ_Z\", \"callee\": \"java.lang.invoke.VarHandle::checkAccessModeThenIsDirect\", \"count\": 7770, \"callee_bytecode_size\": 29, \"callee_has_loops\": false, \"callee_c2_code_bytes\": 0, \"inlined\": true},\n {\"caller\": \"java.lang.invoke.VarHandleGuards::guard_LJJ_Z\", \"callee\": \"java.lang.invoke.VarForm::getMemberName\", \"count\": 7770, \"callee_bytecode_size\": 38, \"callee_has_loops\": false, \"callee_c2_code_bytes\": 0, \"inlined\": true},\n {\"caller\": \"java.lang.invoke.VarHandleLongs$FieldInstanceReadWrite::weakCompareAndSetRelease\", \"callee\": \"java.util.Objects::requireNonNull\", \"count\": 7598, \"callee_bytecode_size\": 14, \"callee_has_loops\": false, \"callee_c2_code_bytes\": 104, \"inlined\": true}]},\n {\"name\": \"Simulation::runTrajectory\", \"signature\": \"()V\", \"samples\": 97, \"bytecode_size\": 26,\n \"has_loops\": true, \"osr\": true, \"c2_code_bytes\": 1024, \"invocations\": 1, \"backedges\": 112647,\n \"calls\": [\n {\"caller\": \"Simulation::runTrajectory\", \"callee\": \"Simulation::trajectory\", \"count\": 51198, \"callee_bytecode_size\": 60, 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Please continue and produce a user-visible response.]"}]}} 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b/llm-jit-agent/rounds/run-output.txt @@ -0,0 +1,145 @@ +== baseline + t inline control (ops/s) + 1 26739 1276288 + 2 58113 1152063 + 3 25267 1052834 + 4 67912 1063345 + 5 65870 1034598 + 6 62199 971442 + 7 67467 1062262 + 8 63111 1047065 + 9 62064 1038483 + 10 66583 1070283 + 11 64432 1068180 + 12 65916 1063861 + 13 65221 1050952 + 14 67200 1064542 + 15 63146 1047391 + 16 65303 1028886 + 17 65536 1056646 + 18 65908 1063237 + 19 66746 1045934 + 20 65215 1051168 + 21 65410 1053494 + 22 63073 1062476 + 23 65953 1057250 + 24 64927 1069093 + 25 67377 1056657 + 26 67440 1066413 + 27 62496 1041849 + 28 60065 981942 + 29 66262 1063026 + 30 66447 1065470 + 31 65985 1038946 + 32 67483 1058688 + 33 58050 954203 + 34 66403 1042408 + 35 58906 922925 + 36 64000 1024916 + 37 63456 1020762 + 38 61824 1014131 + 39 61391 984369 + 40 65063 1020254 + 41 67874 1068289 + 42 65179 1044228 + 43 63073 985589 + 44 67215 1058269 + 45 67241 1061495 + 46 64706 1032827 + 47 67551 1064864 + 48 67426 1065682 + 49 66133 1041567 + 50 63649 1008229 + 51 63712 1000932 + 52 60824 972790 + 53 60610 946788 + 54 64774 1018469 + 55 62214 991323 + 56 66435 1054727 + 57 67724 1066079 + 58 67631 1063026 + 59 67662 1062092 + 60 58541 949680 +steady-state (last half): inline=64424 control=1021285 +result mismatches: 0 + +== with AIJitAgent +[0,030s][info][aijit] Agent thread started, command: python3 -I src/utils/aijit/aijit_agent.py + t inline control (ops/s) + 1 24580 962161 + 2 49632 1324368 + 3 63495 1495779 +[4,031s][info][aijit] Round 1: 3 hot methods, running: python3 -I src/utils/aijit/aijit_agent.py /tmp/aijit-105069-1-profile.json /tmp/aijit-105069-1-hints.txt + 4 59745 1499725 + 5 53322 1218622 + 6 60527 1383211 + 7 66684 1527597 + 8 66553 1526752 + 9 65015 1507686 +[aijit-agent] round 1: claude-opus-5-5 (claude CLI) returned 1 hint(s) in 5.4s -> /tmp/aijit-105069-1-hints.txt +[9,513s][info][aijit] Round 1: agent exited with status 0 after 5482 ms +[9,513s][info][aijit] Accepted hint: inline Simulation::runTrajectory Simulation::step +[9,513s][info][aijit] Installed 1 directive(s): [{"match": "Simulation::runTrajectory", "c2": {"inline": ["+Simulation::step"]}}] +[9,513s][info][aijit] Requested tier 4 recompilation of Simulation::runTrajectory + 10 103387 1527694 + 11 131515 1559257 + 12 131313 1553728 + 13 129120 1547073 +[13,519s][info][aijit] Round 2: 2 hot methods, running: python3 -I src/utils/aijit/aijit_agent.py /tmp/aijit-105069-2-profile.json /tmp/aijit-105069-2-hints.txt + 14 118340 1402195 + 15 115383 1364680 + 16 128960 1527859 + 17 131453 1558377 + 18 128012 1512568 + 19 129898 1538705 + 20 125351 1484714 + 21 127372 1513465 +[aijit-agent] round 2: claude-opus-5-5 (claude CLI) returned 0 hint(s) in 7.8s -> /tmp/aijit-105069-2-hints.txt +[21,393s][info][aijit] Round 2: agent exited with status 0 after 7874 ms +[21,393s][info][aijit] Round 2: no hints accepted + 22 127212 1514914 + 23 129849 1536699 + 24 128739 1523523 + 25 130669 1548015 +[25,401s][info][aijit] Round 3: 2 hot methods, running: python3 -I src/utils/aijit/aijit_agent.py /tmp/aijit-105069-3-profile.json /tmp/aijit-105069-3-hints.txt + 26 114202 1352587 + 27 116715 1383050 + 28 124221 1470471 + 29 128943 1523678 + 30 130229 1541956 + 31 121684 1443965 + 32 127964 1514964 + 33 126548 1501229 +[aijit-agent] round 3: claude-opus-5-5 (claude CLI) returned 0 hint(s) in 8.6s -> /tmp/aijit-105069-3-hints.txt + 34 128859 1527178 +[34,146s][info][aijit] Round 3: agent exited with status 0 after 8746 ms +[34,146s][info][aijit] Round 3: no hints accepted +[34,146s][info][aijit] Agent thread done after 3 rounds + 35 117710 1392397 + 36 127428 1511008 + 37 131282 1562598 + 38 132593 1576214 + 39 129872 1543458 + 40 122755 1454766 + 41 130685 1550822 + 42 130801 1551171 + 43 118455 1406574 + 44 126240 1494632 + 45 130122 1543782 + 46 127775 1514566 + 47 120216 1421424 + 48 131808 1559157 + 49 127563 1508970 + 50 127441 1508696 + 51 128229 1519530 + 52 128523 1520758 + 53 113877 1347076 + 54 128044 1513769 + 55 123575 1460650 + 56 129047 1529319 + 57 130418 1545581 + 58 130493 1543883 + 59 122466 1447383 + 60 132502 1568789 +steady-state (last half): inline=126833 control=1502810 +result mismatches: 0 \ No newline at end of file diff --git a/llm-jit-agent/samples.svg b/llm-jit-agent/samples.svg new file mode 100644 index 0000000..e564ad8 --- /dev/null +++ b/llm-jit-agent/samples.svg @@ -0,0 +1,38 @@ + +Share of running time per compiled method in each round + + + + + + + +Share of running time per compiled method +how often each thread was found running that method's code + +inline benchmark method + +control benchmark method +Round 1 + +runTrajectory 21% + +step 29% + +runSumArray 50% +step is called, not inlined, +so it runs as its own code +↓ hint applied: inline Simulation::runTrajectory Simulation::step +Round 2 + +runTrajectory 50% + +runSumArray 50% +step is inlined, so its time +now counts for runTrajectory +Round 3 + +runTrajectory 50% + +runSumArray 50% + diff --git a/llm-jit-agent/throughput.svg b/llm-jit-agent/throughput.svg new file mode 100644 index 0000000..5918872 --- /dev/null +++ b/llm-jit-agent/throughput.svg @@ -0,0 +1,68 @@ + +Throughput per second over 60 s, baseline vs with the agent + + + + +Throughput per second, with and without the agent + +with agent + +baseline + +Claude thinking based on profiles + +hint applied +Inline benchmark method + + + + +0 + +50k + +100k + +150k +0 s +10 s +20 s +30 s +40 s +50 s +60 s + + +64k + +127k + +1.97x faster +Control benchmark method + + + + +0 + +500k + +1M + +1.5M + +2M +0 s +10 s +20 s +30 s +40 s +50 s +60 s + + +1.02M + +1.50M +