diff --git a/.github/workflows/tests.yml b/.github/workflows/tests.yml index 09ecf98b..b3812bbd 100644 --- a/.github/workflows/tests.yml +++ b/.github/workflows/tests.yml @@ -38,6 +38,16 @@ jobs: steps: - uses: actions/checkout@v4 + # The opencode seeds vendor anomalyco/opencode as submodules and a config + # test checks the source is really there (an unpopulated submodule compiles + # to a hollow seed). Shallow, and only these two: the BrowseComp-Plus + # upstream corpus is not read by any test. + - name: Check out the vendored opencode source + run: | + git submodule update --init --depth 1 \ + harness-opt-bench/terminal-bench/baseline/target-opencode/opencode \ + harness-opt-bench/gaia/baseline/target-opencode/opencode + - name: Install uv run: | curl -LsSf https://astral.sh/uv/install.sh | sh diff --git a/.gitmodules b/.gitmodules index b7c4c2b8..84a85672 100644 --- a/.gitmodules +++ b/.gitmodules @@ -1,3 +1,9 @@ [submodule "browsecomp-plus-upstream"] path = harness-opt-bench/browsecomp-plus/upstream url = https://github.com/texttron/BrowseComp-Plus.git +[submodule "opencode-terminal-bench"] + path = harness-opt-bench/terminal-bench/baseline/target-opencode/opencode + url = https://github.com/anomalyco/opencode +[submodule "opencode-gaia"] + path = harness-opt-bench/gaia/baseline/target-opencode/opencode + url = https://github.com/anomalyco/opencode diff --git a/harness-opt-bench/gaia/README.md b/harness-opt-bench/gaia/README.md index 50f78e72..f7291837 100644 --- a/harness-opt-bench/gaia/README.md +++ b/harness-opt-bench/gaia/README.md @@ -12,7 +12,7 @@ files and images, run shell commands, and submit an exact answer. | Development / validation / test | 33 / 66 / 66 | | Split strategy | GAIA level and attachment presence | | Target model | `gpt-5.4-mini` | -| Pinned seed baselines | 0.6205 working target; 0.0 shell target | +| Pinned seed baselines | 0.6205 working target; 0.0 shell target; opencode target unpinned (measure before use) | | Scoring | Canonical task verifier | Development cases expose full results and task resources. Validation exposes @@ -25,6 +25,7 @@ aggregate scores, and test remains hidden until final scoring. | `baseline/build.yaml` | Working tool-using agent | Measure harness improvement | | `baseline/build.shell.yaml` | Minimal non-solving skeleton | Measure harness construction from scratch | | `baseline/build.shell.e2e.yaml` | Skeleton with eight cases | Exercise the complete pipeline quickly | +| `baseline/build.opencode.yaml` | opencode, vendored as source and compiled per candidate | Measure improvement of a full coding harness | The full and shell builds use the same tasks, model, budgets, and evaluation policy. See [the baseline guide](baseline/README.md) for their editable surfaces @@ -52,6 +53,7 @@ regenerate the partitions, and review the manifest before using new results. | `baseline/build*.yaml` | Benchmark variants and evaluation settings | | `baseline/target/` | Working editable agent | | `baseline/target-shell/` | Minimal editable skeleton | +| `baseline/target-opencode/` | opencode source (git submodule) plus a thin wrapper | | `partitions/` | Reported development, validation, and test split | | `partitions-e2e/` | Small smoke-test split | | `scripts/partition_gaia.py` | Split verification and regeneration | diff --git a/harness-opt-bench/gaia/baseline/build.opencode.e2e.yaml b/harness-opt-bench/gaia/baseline/build.opencode.e2e.yaml new file mode 100644 index 00000000..d73da1ec --- /dev/null +++ b/harness-opt-bench/gaia/baseline/build.opencode.e2e.yaml @@ -0,0 +1,149 @@ +# Field meanings and the shared rules are in ../../CONFIGURATION.md; comments here +# cover only what is specific to this benchmark. +name: vero/optimize-gaia-opencode-e2e +description: >- + Improve opencode -- a full open-source coding agent, vendored as source under + opencode/ and compiled for each candidate -- as a GAIA agent, while preserving + the Harbor agent interface of the wrapper in src/. The target must answer + canonical GAIA tasks by writing the exact answer to /app/answer.txt; the wrapper + tells opencode so. Anything in the opencode source is editable: prompts, tools, + the agent loop, provider handling, defaults. +agent_repo: target-opencode +task_source: gaia/gaia@sha256:bbc356f476e0b70ba77da11a9be7d6345918d1e4a2daade0d6dfb82ee6f7b761 +task_manifest: ../partitions/manifest.json +agent_import_path: gaia_agent.agent:GaiaAgent +harbor_requirement: ${harbor_requirement:-harbor[modal]==0.20.0} +vero_requirement: scaleapi-vero==0.6.0 + +# E2E SMOKE VARIANT of build.opencode.yaml. Same seed, same target, same gateway +# scopes; eight cases in total, tiny budgets, and a 25-minute agent clock so the +# run reaches finalization quickly. It exists to prove the opencode seed end to end +# (submodule snapshot, Bun build on the evaluation host, binary upload, run, session +# archive), not to measure anything. Never report its score. +partition_files: + development: ../partitions-e2e/development.json + validation: ../partitions-e2e/validation.json + test: ../partitions-e2e/test.json + +agent_access: + - partition: development + disclosure: full + expose_case_resources: true + total_runs: 6 + total_cases: 12 + - partition: validation + disclosure: aggregate + expose_case_resources: false + min_aggregate_cases: 1 + total_runs: 6 + total_cases: 18 + +selection_partition: validation +targets: + - partition: test + reward_key: reward + # TODO(seed-complexity): measure with rescore_candidate.py --seed --build-file + # build.opencode.yaml (K=3) and pin here before quoting deltas. + baseline_reward: 0.0 + failure_value: 0.0 + max_attempts: 1 + n_attempts: 3 + aggregate_attempts: mean + +evaluation_set_name: gaia +objective: + selector: + metric: score + direction: maximize +reward_mode: submit # agent picks; falls back to auto_best, then current version +baseline_floor: false # gates on validation while reward is on test; opt-in only +score_baseline: false +rescore_top_k: 1 +rescore_attempts: 1 + +# GAIA includes image inputs, so the target must be multimodal. Keep this name +# aligned with the exact value sent by the agent. +model: gpt-5.4-mini +environment_name: ${inner_env:?set inner_env to a Harbor environment} +extra_harbor_args: ["--ek", "app_name=harness-opt-bench", "--ek", "sandbox_idle_timeout_secs=3600"] +harbor_python_version: "3.12" +n_attempts: 1 +max_retries: 4 +retry_max_wait_seconds: 120 +infrastructure_max_attempts: 3 +infrastructure_retry_delay_seconds: 5 +aggregate_attempts: best +feedback_transcripts: true +feedback_max_bytes: 16000 +expose_attempt_detail: false +# This smoke variant intentionally uses shorter overall limits. +timeout_seconds: 1800 +case_timeout_seconds: 600 +task_agent_timeout_seconds: 600 +max_concurrency: 24 +error_rate_threshold: 0.1 +verifier_timeout_seconds: 3600 +optimizer_sandbox_timeout_seconds: 14400 +optimizer_sandbox_idle_timeout_seconds: 1800 +# 25 minutes: long enough for the optimizer to build opencode once and run an +# evaluation or two, short enough that Harbor hands over to the verifier within +# the hour, which is the path this variant exists to exercise. +optimizer_agent_timeout_seconds: 1500 +optimizer_allow_internet: true +optimizer_harness_versions: + claude-code: 2.1.220 + codex: 0.146.0 + opencode: 1.18.11 + kimi-cli: 1.49.0 + goose: 1.45.0 + mini-swe-agent: 2.4.6 + +secrets: + - MODAL_TOKEN_ID + - MODAL_TOKEN_SECRET + - MODAL_ENVIRONMENT + - WANDB_API_KEY + - WANDB_BASE_URL + +wandb: + project: harness-engineering-bench + group: gaia + name: ${wandb_run:-gaia-opencode-e2e} + tags: [gaia, opencode-seed, e2e-smoke] + log_traces: true + +# opencode runs inside the task container, which cannot reach the compose-internal +# evaluation gateway. This hands the container the public upstream (OPENAI_*), as +# task-owned services already get; the metered gateway stays on VERO_AGENT_INFERENCE_* +# for in-process agents. Consequence: the target model is fixed by the wrapper, not by +# the gateway allow-list, and its use is audited from the upstream per-key request log. +task_services_use_upstream: true +# Required by the flag above (as in browsecomp-plus): the isolated harness user +# would otherwise see the raw upstream credential in its environment. +harness_user: null +agent_env: + BASH_MAX_TIMEOUT_MS: "3600000" + BASH_DEFAULT_TIMEOUT_MS: "3600000" + ENABLE_BACKGROUND_TASKS: "0" + FORCE_AUTO_BACKGROUND_TASKS: "0" + UV_TOOL_BIN_DIR: "/home/agent/.local/bin" + +inference_gateway: + upstream_api_key_env: OPENAI_API_KEY + upstream_base_url_env: OPENAI_BASE_URL + request_log_attribution: true + producer: + allowed_models: ["${optimizer_model:-gpt-5.4}"] + max_concurrency: 8 + evaluation: + allowed_models: [gpt-5.4-mini] + max_requests: 200000 + max_tokens: 200000000 # 30 agent case-runs at most + max_concurrency: 64 + finalization: + allowed_models: [gpt-5.4-mini] + max_requests: 200000 + max_tokens: 2000000000 # 66 test cases x3 attempts + rescore headroom + max_concurrency: 64 +instruct_multifidelity: true +instruct_exhaust_budget: true diff --git a/harness-opt-bench/gaia/baseline/build.opencode.yaml b/harness-opt-bench/gaia/baseline/build.opencode.yaml new file mode 100644 index 00000000..20781f49 --- /dev/null +++ b/harness-opt-bench/gaia/baseline/build.opencode.yaml @@ -0,0 +1,144 @@ +# Field meanings and the shared rules are in ../../CONFIGURATION.md; comments here +# cover only what is specific to this benchmark. +name: vero/optimize-gaia-opencode +description: >- + Improve opencode -- a full open-source coding agent, vendored as source under + opencode/ and compiled for each candidate -- as a GAIA agent, while preserving + the Harbor agent interface of the wrapper in src/. The target must answer + canonical GAIA tasks by writing the exact answer to /app/answer.txt; the wrapper + tells opencode so. Anything in the opencode source is editable: prompts, tools, + the agent loop, provider handling, defaults. +agent_repo: target-opencode +task_source: gaia/gaia@sha256:bbc356f476e0b70ba77da11a9be7d6345918d1e4a2daade0d6dfb82ee6f7b761 +task_manifest: ../partitions/manifest.json +agent_import_path: gaia_agent.agent:GaiaAgent +harbor_requirement: ${harbor_requirement:-harbor[modal]==0.20.0} +vero_requirement: scaleapi-vero==0.6.0 + +partition_files: + development: ../partitions/development.json + validation: ../partitions/validation.json + test: ../partitions/test.json + +agent_access: + - partition: development + disclosure: full + expose_case_resources: true + total_runs: 100 + total_cases: 132 + - partition: validation + disclosure: aggregate + expose_case_resources: false + min_aggregate_cases: 5 + total_runs: 100 + total_cases: 264 + +selection_partition: validation +targets: + - partition: test + reward_key: reward + # TODO(seed-complexity): measure with rescore_candidate.py --seed --build-file + # build.opencode.yaml (K=3) and pin here before quoting deltas. + baseline_reward: 0.0 + failure_value: 0.0 + max_attempts: 1 + n_attempts: 3 + aggregate_attempts: mean + +evaluation_set_name: gaia +objective: + selector: + metric: score + direction: maximize +reward_mode: submit # agent picks; falls back to auto_best, then current version +baseline_floor: false # gates on validation while reward is on test; opt-in only +score_baseline: false +rescore_top_k: 3 +rescore_attempts: 1 + +# GAIA includes image inputs, so the target must be multimodal. Keep this name +# aligned with the exact value sent by the agent. +model: gpt-5.4-mini +environment_name: ${inner_env:?set inner_env to a Harbor environment} +extra_harbor_args: ["--ek", "app_name=harness-opt-bench", "--ek", "sandbox_idle_timeout_secs=14400"] +harbor_python_version: "3.12" +n_attempts: 1 +max_retries: 4 +retry_max_wait_seconds: 120 +infrastructure_max_attempts: 3 +infrastructure_retry_delay_seconds: 5 +aggregate_attempts: best +feedback_transcripts: true +feedback_max_bytes: 16000 +expose_attempt_detail: false +# Above the 5,400-second worst case at the configured concurrency. +timeout_seconds: 7200 +case_timeout_seconds: 600 +task_agent_timeout_seconds: 600 +max_concurrency: 24 +error_rate_threshold: 0.1 +verifier_timeout_seconds: 14400 +optimizer_sandbox_timeout_seconds: 86400 +optimizer_sandbox_idle_timeout_seconds: 14400 +# The vendored opencode image takes 10-23 min to start on Modal; the 1800 s default +# timed out ~10 launches (EnvironmentStartTimeoutError). +build_timeout_seconds: 5400 +optimizer_agent_timeout_seconds: 72000 +optimizer_allow_internet: true +optimizer_harness_versions: + claude-code: 2.1.220 + codex: 0.146.0 + opencode: 1.18.11 + kimi-cli: 1.49.0 + goose: 1.45.0 + mini-swe-agent: 2.4.6 + +secrets: + - MODAL_TOKEN_ID + - MODAL_TOKEN_SECRET + - MODAL_ENVIRONMENT + - WANDB_API_KEY + - WANDB_BASE_URL + +wandb: + project: harness-engineering-bench + group: gaia + name: ${wandb_run:-gaia-opencode} + tags: [gaia, opencode-seed] + log_traces: true + +# opencode runs inside the task container, which cannot reach the compose-internal +# evaluation gateway. This hands the container the public upstream (OPENAI_*), as +# task-owned services already get; the metered gateway stays on VERO_AGENT_INFERENCE_* +# for in-process agents. Consequence: the target model is fixed by the wrapper, not by +# the gateway allow-list, and its use is audited from the upstream per-key request log. +task_services_use_upstream: true +# Required by the flag above (as in browsecomp-plus): the isolated harness user +# would otherwise see the raw upstream credential in its environment. +harness_user: null +agent_env: + BASH_MAX_TIMEOUT_MS: "3600000" + BASH_DEFAULT_TIMEOUT_MS: "3600000" + ENABLE_BACKGROUND_TASKS: "0" + FORCE_AUTO_BACKGROUND_TASKS: "0" + UV_TOOL_BIN_DIR: "/home/agent/.local/bin" + +inference_gateway: + upstream_api_key_env: OPENAI_API_KEY + upstream_base_url_env: OPENAI_BASE_URL + request_log_attribution: true + producer: + allowed_models: ["${optimizer_model:-gpt-5.4}"] + max_concurrency: 8 + evaluation: + allowed_models: [gpt-5.4-mini] + max_requests: 200000 + max_tokens: 2000000000 # 396 agent case-runs (132 dev + 264 validation) + max_concurrency: 64 + finalization: + allowed_models: [gpt-5.4-mini] + max_requests: 200000 + max_tokens: 2000000000 # 66 test cases x3 attempts + rescore headroom + max_concurrency: 64 +instruct_multifidelity: true +instruct_exhaust_budget: true diff --git a/harness-opt-bench/gaia/baseline/build.shell.blind.yaml b/harness-opt-bench/gaia/baseline/build.shell.blind.yaml new file mode 100644 index 00000000..9246a606 --- /dev/null +++ b/harness-opt-bench/gaia/baseline/build.shell.blind.yaml @@ -0,0 +1,139 @@ +# Field meanings and the shared rules are in ../../CONFIGURATION.md; comments here +# cover only what is specific to this benchmark. +name: vero/optimize-gaia-shell-blind +description: >- + The program must answer canonical GAIA tasks: general-knowledge questions that + may need research, computation, or inspection of attached files. How it does + that is yours to decide -- the approach, what the agent can do, how it uses its + environment, how many model calls it takes, and when it stops. Preserve the + Harbor agent interface and the class import path. The grader reads the exact + answer from /app/answer.txt. +instruction_template: instruction.shell.md.j2 +# Budget-blind ablation (2026-09-14): the optimizer sees no budget language and `vero harbor status` +# omits remaining budgets; enforcement is unchanged. Everything else is build.shell.yaml. +disclose_budget: false +agent_repo: target-shell +task_source: gaia/gaia@sha256:bbc356f476e0b70ba77da11a9be7d6345918d1e4a2daade0d6dfb82ee6f7b761 +task_manifest: ../partitions/manifest.json +agent_import_path: gaia_agent.agent:GaiaAgent +harbor_requirement: ${harbor_requirement:-harbor[modal]==0.20.0} +vero_requirement: scaleapi-vero==0.6.0 + +partition_files: + development: ../partitions/development.json + validation: ../partitions/validation.json + test: ../partitions/test.json + +agent_access: + - partition: development + disclosure: full + expose_case_resources: true + total_runs: 100 + total_cases: 132 + - partition: validation + disclosure: aggregate + expose_case_resources: false + min_aggregate_cases: 5 + total_runs: 100 + total_cases: 264 + +selection_partition: validation +targets: + - partition: test + reward_key: reward + # Zero by construction, not by measurement: the skeleton writes an empty + # answer, so every case is scored and wrong. Confirm with one baseline round + # before quoting deltas -- the number is a claim about the seed, not a + # measurement of it. + baseline_reward: 0.0 + failure_value: 0.0 + max_attempts: 1 + n_attempts: 3 + aggregate_attempts: mean + +evaluation_set_name: gaia +objective: + selector: + metric: score + direction: maximize +reward_mode: submit # agent picks; falls back to auto_best, then current version +baseline_floor: false # gates on validation while reward is on test; opt-in only +score_baseline: false +rescore_top_k: 3 +rescore_attempts: 1 + +# GAIA includes image inputs, so the target must be multimodal. Keep this name +# aligned with the exact value sent by the agent. +model: gpt-5.4-mini +environment_name: ${inner_env:?set inner_env to a Harbor environment} +extra_harbor_args: ["--ek", "app_name=harness-opt-bench", "--ek", "sandbox_idle_timeout_secs=3600"] +harbor_python_version: "3.12" +n_attempts: 1 +max_retries: 4 +retry_max_wait_seconds: 120 +infrastructure_max_attempts: 3 +infrastructure_retry_delay_seconds: 5 +aggregate_attempts: best +feedback_transcripts: true +feedback_max_bytes: 16000 +expose_attempt_detail: false +# Above the 5,400-second worst case at the configured concurrency. +timeout_seconds: 7200 +case_timeout_seconds: 600 +task_agent_timeout_seconds: 600 +max_concurrency: 24 +error_rate_threshold: 0.1 +verifier_timeout_seconds: 14400 +optimizer_sandbox_timeout_seconds: 86400 +optimizer_sandbox_idle_timeout_seconds: 3600 +optimizer_agent_timeout_seconds: 72000 +optimizer_allow_internet: true +optimizer_harness_versions: + claude-code: 2.1.220 + codex: 0.146.0 + opencode: 1.18.11 + kimi-cli: 1.49.0 + goose: 1.45.0 + mini-swe-agent: 2.4.6 + +secrets: + - MODAL_TOKEN_ID + - MODAL_TOKEN_SECRET + - MODAL_ENVIRONMENT + - WANDB_API_KEY + - WANDB_BASE_URL + +wandb: + project: harness-engineering-bench + group: gaia + name: ${wandb_run:-gaia-shell} + tags: [gaia, shell-seed] + log_traces: true + +harness_user: harness +agent_env: + BASH_MAX_TIMEOUT_MS: "3600000" + BASH_DEFAULT_TIMEOUT_MS: "3600000" + ENABLE_BACKGROUND_TASKS: "0" + FORCE_AUTO_BACKGROUND_TASKS: "0" + UV_TOOL_BIN_DIR: "/home/agent/.local/bin" + +inference_gateway: + upstream_api_key_env: OPENAI_API_KEY + upstream_base_url_env: OPENAI_BASE_URL + request_log_attribution: true + producer: + allowed_models: ["${optimizer_model:-gpt-5.4}"] + max_concurrency: 8 + evaluation: + allowed_models: [gpt-5.4-mini] + max_requests: 200000 + max_tokens: 2000000000 # 396 agent case-runs (132 dev + 264 validation) + max_concurrency: 64 + finalization: + allowed_models: [gpt-5.4-mini] + max_requests: 200000 + max_tokens: 2000000000 # 66 test cases x3 attempts + rescore headroom + max_concurrency: 64 +instruct_multifidelity: true +instruct_exhaust_budget: true diff --git a/harness-opt-bench/gaia/baseline/build.shell.routed.yaml b/harness-opt-bench/gaia/baseline/build.shell.routed.yaml new file mode 100644 index 00000000..1e77c7cf --- /dev/null +++ b/harness-opt-bench/gaia/baseline/build.shell.routed.yaml @@ -0,0 +1,140 @@ +# Field meanings and the shared rules are in ../../CONFIGURATION.md; comments here +# cover only what is specific to this benchmark. +name: vero/optimize-gaia-shell +description: >- + The program must answer canonical GAIA tasks: general-knowledge questions that + may need research, computation, or inspection of attached files. How it does + that is yours to decide -- the approach, what the agent can do, how it uses its + environment, how many model calls it takes, and when it stops. Preserve the + Harbor agent interface and the class import path. The grader reads the exact + answer from /app/answer.txt. +instruction_template: instruction.shell.md.j2 +agent_repo: target-shell +task_source: gaia/gaia@sha256:bbc356f476e0b70ba77da11a9be7d6345918d1e4a2daade0d6dfb82ee6f7b761 +task_manifest: ../partitions/manifest.json +agent_import_path: gaia_agent.agent:GaiaAgent +harbor_requirement: ${harbor_requirement:-harbor[modal]==0.20.0} +vero_requirement: scaleapi-vero==0.6.0 + +partition_files: + development: ../partitions/development.json + validation: ../partitions/validation.json + test: ../partitions/test.json + +agent_access: + - partition: development + disclosure: full + expose_case_resources: true + total_runs: 100 + total_cases: 132 + - partition: validation + disclosure: aggregate + expose_case_resources: false + min_aggregate_cases: 5 + total_runs: 100 + total_cases: 264 + +selection_partition: validation +targets: + - partition: test + reward_key: reward + # Zero by construction, not by measurement: the skeleton writes an empty + # answer, so every case is scored and wrong. Confirm with one baseline round + # before quoting deltas -- the number is a claim about the seed, not a + # measurement of it. + baseline_reward: 0.0 + failure_value: 0.0 + max_attempts: 1 + n_attempts: 3 + aggregate_attempts: mean + +evaluation_set_name: gaia +objective: + selector: + metric: score + direction: maximize +reward_mode: submit # agent picks; falls back to auto_best, then current version +baseline_floor: false # gates on validation while reward is on test; opt-in only +score_baseline: false +rescore_top_k: 3 +rescore_attempts: 1 + +# GAIA includes image inputs, so the target must be multimodal. Keep this name +# aligned with the exact value sent by the agent. +model: gpt-5.4-mini +environment_name: ${inner_env:?set inner_env to a Harbor environment} +extra_harbor_args: ["--ek", "app_name=harness-opt-bench", "--ek", "sandbox_idle_timeout_secs=3600"] +harbor_python_version: "3.12" +n_attempts: 1 +max_retries: 4 +retry_max_wait_seconds: 120 +infrastructure_max_attempts: 3 +infrastructure_retry_delay_seconds: 5 +aggregate_attempts: best +feedback_transcripts: true +feedback_max_bytes: 16000 +expose_attempt_detail: false +# Above the 5,400-second worst case at the configured concurrency. +timeout_seconds: 7200 +case_timeout_seconds: 600 +task_agent_timeout_seconds: 600 +max_concurrency: 24 +error_rate_threshold: 0.1 +verifier_timeout_seconds: 14400 +optimizer_sandbox_timeout_seconds: 86400 +optimizer_sandbox_idle_timeout_seconds: 3600 +optimizer_agent_timeout_seconds: 72000 +optimizer_allow_internet: true +optimizer_harness_versions: + claude-code: 2.1.220 + codex: 0.146.0 + opencode: 1.18.11 + kimi-cli: 1.49.0 + goose: 1.45.0 + mini-swe-agent: 2.4.6 + +secrets: + - MODAL_TOKEN_ID + - MODAL_TOKEN_SECRET + - MODAL_ENVIRONMENT + - WANDB_API_KEY + - WANDB_BASE_URL + +wandb: + project: harness-engineering-bench + group: gaia + name: ${wandb_run:-gaia-shell} + tags: [gaia, shell-seed] + log_traces: true + +harness_user: harness +agent_env: + BASH_MAX_TIMEOUT_MS: "3600000" + BASH_DEFAULT_TIMEOUT_MS: "3600000" + ENABLE_BACKGROUND_TASKS: "0" + FORCE_AUTO_BACKGROUND_TASKS: "0" + UV_TOOL_BIN_DIR: "/home/agent/.local/bin" + +inference_gateway: + upstream_api_key_env: OPENAI_API_KEY + upstream_base_url_env: OPENAI_BASE_URL + request_log_attribution: true + producer: + allowed_models: ["${optimizer_model:-gpt-5.4}"] + max_concurrency: 8 + evaluation: + allowed_models: [gpt-5.4-mini] + model_aliases: + gpt-5.4-mini: ${target_model_route:-azure_ai/gpt-5.4-mini} + max_requests: 200000 + max_tokens: 2000000000 # 396 agent case-runs (132 dev + 264 validation) + max_concurrency: 64 + finalization: + allowed_models: [gpt-5.4-mini] + model_aliases: + gpt-5.4-mini: ${target_model_route:-azure_ai/gpt-5.4-mini} + max_requests: 200000 + max_tokens: 2000000000 # 66 test cases x3 attempts + rescore headroom + max_concurrency: 64 +instruct_multifidelity: true +instruct_exhaust_budget: true diff --git a/harness-opt-bench/gaia/baseline/target-opencode/.gitignore b/harness-opt-bench/gaia/baseline/target-opencode/.gitignore new file mode 100644 index 00000000..0c6c9cd1 --- /dev/null +++ b/harness-opt-bench/gaia/baseline/target-opencode/.gitignore @@ -0,0 +1,6 @@ +.venv/ +__pycache__/ +*.pyc +opencode/node_modules/ +opencode/**/node_modules/ +opencode/**/dist/ diff --git a/harness-opt-bench/gaia/baseline/target-opencode/opencode b/harness-opt-bench/gaia/baseline/target-opencode/opencode new file mode 160000 index 00000000..e03db9bc --- /dev/null +++ b/harness-opt-bench/gaia/baseline/target-opencode/opencode @@ -0,0 +1 @@ +Subproject commit e03db9bc6908f75c9334d8aa997deeaac81c0298 diff --git a/harness-opt-bench/gaia/baseline/target-opencode/pyproject.toml b/harness-opt-bench/gaia/baseline/target-opencode/pyproject.toml new file mode 100644 index 00000000..eb68bf05 --- /dev/null +++ b/harness-opt-bench/gaia/baseline/target-opencode/pyproject.toml @@ -0,0 +1,24 @@ +[project] +name = "vero-gaia-opencode-agent" +version = "0.1.0" +description = "GAIA target: the opencode coding harness, built from vendored source" +requires-python = ">=3.12" +dependencies = [ + "harbor==0.20.0", +] + +[build-system] +requires = ["hatchling"] +build-backend = "hatchling.build" + +[tool.hatch.build.targets.wheel] +packages = ["src/gaia_agent"] + +[dependency-groups] +dev = [ + "pytest>=9.0.2", + "pytest-asyncio>=1.3.0", +] + +[tool.pytest.ini_options] +testpaths = ["tests"] diff --git a/harness-opt-bench/gaia/baseline/target-opencode/src/gaia_agent/__init__.py b/harness-opt-bench/gaia/baseline/target-opencode/src/gaia_agent/__init__.py new file mode 100644 index 00000000..bb7a0b53 --- /dev/null +++ b/harness-opt-bench/gaia/baseline/target-opencode/src/gaia_agent/__init__.py @@ -0,0 +1 @@ +"""GAIA target: opencode, built from the vendored source tree.""" diff --git a/harness-opt-bench/gaia/baseline/target-opencode/src/gaia_agent/_build.py b/harness-opt-bench/gaia/baseline/target-opencode/src/gaia_agent/_build.py new file mode 100644 index 00000000..33d9445c --- /dev/null +++ b/harness-opt-bench/gaia/baseline/target-opencode/src/gaia_agent/_build.py @@ -0,0 +1,127 @@ +"""Build the vendored opencode source into a single Linux binary, once per tree. + +The editable target vendors the opencode monorepo under ``opencode/``. Each +evaluation runs the agent class in the harbor process (the evaluation host), so +the build happens there: install the workspace with Bun, compile the CLI for the +host platform, and cache the binary under a content hash of the source tree. Every +trial then uploads the cached binary into its task container. A tree that does not +compile raises here, before any trial spends model budget on a broken agent. +""" + +from __future__ import annotations + +import fcntl +import hashlib +import os +import platform +import shutil +import subprocess +from pathlib import Path + +BUN_VERSION = "1.3.14" # opencode's packageManager pin +EXCLUDED_DIRS = {"node_modules", "dist", ".git", ".turbo", ".sst"} + + +def repo_dir() -> Path: + """The vendored opencode checkout that ships inside this target.""" + return Path(__file__).resolve().parents[2] / "opencode" + + +def cache_root() -> Path: + return Path(os.environ.get("VERO_OPENCODE_BUILD_CACHE", Path.home() / ".cache" / "vero-opencode")) + + +def tree_hash(root: Path) -> str: + """Content hash of the source tree, ignoring build outputs and dependencies.""" + digest = hashlib.sha256() + for dirpath, dirnames, filenames in os.walk(root): + dirnames[:] = sorted(d for d in dirnames if d not in EXCLUDED_DIRS) + for name in sorted(filenames): + path = Path(dirpath) / name + if path.is_symlink(): + continue + digest.update(path.relative_to(root).as_posix().encode()) + digest.update(b"\0") + with path.open("rb") as handle: + for chunk in iter(lambda: handle.read(1 << 20), b""): + digest.update(chunk) + digest.update(b"\0") + return digest.hexdigest()[:16] + + +def _bun() -> str: + """A Bun of the pinned version: on PATH, in ~/.bun, or fetched from GitHub. + + The official install script needs curl and unzip on the host; the evaluation + host is not guaranteed either, so fetch the release zip with the standard + library and unpack it ourselves. + """ + found = shutil.which("bun") or str(Path.home() / ".bun" / "bin" / "bun") + if Path(found).exists(): + return found + import io + import urllib.request + import zipfile + + system = platform.system().lower() # linux / darwin + arch = {"x86_64": "x64", "amd64": "x64", "arm64": "aarch64", "aarch64": "aarch64"}[platform.machine().lower()] + name = f"bun-{system}-{arch}" + url = f"https://github.com/oven-sh/bun/releases/download/bun-v{BUN_VERSION}/{name}.zip" + _log(f"fetching {url}") + with urllib.request.urlopen(url, timeout=300) as response: + payload = response.read() + target = Path.home() / ".bun" / "bin" + target.mkdir(parents=True, exist_ok=True) + with zipfile.ZipFile(io.BytesIO(payload)) as archive: + with archive.open(f"{name}/bun") as src, (target / "bun").open("wb") as dst: + shutil.copyfileobj(src, dst) + (target / "bun").chmod(0o755) + return str(target / "bun") + + +def _log(message: str) -> None: + print(f"[opencode-build] {message}", flush=True) + + +def build_binary(root: Path | None = None) -> Path: + """Return a compiled opencode binary for the host platform, building if needed.""" + prebuilt = os.environ.get("VERO_OPENCODE_BINARY") + if prebuilt: + return Path(prebuilt) + root = root or repo_dir() + if not (root / "package.json").exists(): + raise RuntimeError(f"no opencode source at {root}; is the submodule checked out?") + key = tree_hash(root) + out_dir = cache_root() / key + binary = out_dir / "opencode" + out_dir.mkdir(parents=True, exist_ok=True) + with (out_dir / ".lock").open("w") as lock: + fcntl.flock(lock, fcntl.LOCK_EX) + try: + if binary.exists(): + return binary + bun = _bun() + env = { + **os.environ, + "BUN_INSTALL_CACHE_DIR": str(cache_root() / "bun-cache"), + # husky's `prepare` hook and interactive prompts have no place here + "HUSKY": "0", "CI": "1", + } + _log(f"tree {key}: bun install") + subprocess.run([bun, "install", "--frozen-lockfile"], cwd=root, check=True, + capture_output=True, text=True, env=env) + _log(f"tree {key}: compile for {platform.system().lower()}-{platform.machine()}") + subprocess.run([bun, "run", "script/build.ts", "--single", "--skip-embed-web-ui", "--skip-install"], + cwd=root / "packages" / "opencode", check=True, capture_output=True, text=True, env=env) + built = sorted((root / "packages" / "opencode" / "dist").glob("opencode-*/bin/opencode")) + if not built: + raise RuntimeError("opencode build produced no binary under packages/opencode/dist") + shutil.copy2(built[0], binary) + binary.chmod(0o755) + _log(f"tree {key}: cached {binary}") + return binary + except subprocess.CalledProcessError as error: + tail = (error.stderr or error.stdout or "")[-4000:] + raise RuntimeError(f"opencode build failed ({error.cmd[0]} {error.cmd[1]}):\n{tail}") from error + finally: + fcntl.flock(lock, fcntl.LOCK_UN) diff --git a/harness-opt-bench/gaia/baseline/target-opencode/src/gaia_agent/agent.py b/harness-opt-bench/gaia/baseline/target-opencode/src/gaia_agent/agent.py new file mode 100644 index 00000000..1b03f753 --- /dev/null +++ b/harness-opt-bench/gaia/baseline/target-opencode/src/gaia_agent/agent.py @@ -0,0 +1,126 @@ +"""GAIA target: the opencode coding harness, run from vendored source. + +The editable surface is the whole opencode source tree under ``opencode/`` plus +this wrapper. Harbor's stock opencode runner is reused for the trajectory format +and the run command; what changes is where the binary comes from. Instead of +``npm i -g opencode-ai`` the wrapper compiles the vendored tree on the evaluation +host (see ``_build``) and uploads that binary into the task container, so an edit +anywhere in the source is what gets evaluated. + +Inference goes through the OpenAI-compatible endpoint the environment provides +(``OPENAI_BASE_URL`` / ``OPENAI_API_KEY``): the target model is registered under +opencode's ``openai`` provider with that base URL. Because the agent runs inside +the task container, the build sets ``task_services_use_upstream`` so that endpoint +is the public upstream proxy rather than the compose-internal metered gateway; the +target model is therefore fixed by this wrapper, and its use is checked after the +fact from the proxy's per-key request log. +""" + +from __future__ import annotations + +import asyncio +import os +import shlex +from typing import Any, override + +from harbor.agents.installed.opencode import OpenCode +from harbor.environments.base import BaseEnvironment +from harbor.models.agent.context import AgentContext + +from gaia_agent import _build + +REMOTE_BINARY = "/usr/local/bin/opencode" + +# The GAIA grader reads the exact final answer from this file; a general coding +# agent will not know that unless the task text says so. +ANSWER_FILE_INSTRUCTION = ( + "When you have the final answer, write it -- and nothing else -- to /app/answer.txt, " + "then stop. Attached files for the question, if any, are in the working directory.\n\n" +) + + +def _bare_model(model_name: str) -> str: + """``xai/grok-build-0.1`` and ``openai/grok-build-0.1`` both mean ``grok-build-0.1``.""" + return model_name.rsplit("/", 1)[-1] + + +def _base_url() -> str | None: + # opencode runs inside the task container, so it needs an endpoint the container + # can reach. Under `task_services_use_upstream` VeRO puts the public upstream in + # OPENAI_BASE_URL; the VERO_AGENT_INFERENCE_* gateway is compose-internal and is + # deliberately not used here. + return os.environ.get("OPENAI_BASE_URL") + + +def _api_key() -> str | None: + return os.environ.get("OPENAI_API_KEY") + + +class GaiaAgent(OpenCode): + """opencode, built from this repository, as the GAIA agent.""" + + _build_lock: asyncio.Lock | None = None + + @staticmethod + @override + def name() -> str: + return "gaia-opencode" + + def __init__(self, *args: Any, **kwargs: Any) -> None: + model_name = kwargs.get("model_name") + if model_name is None: + raise ValueError("GAIA agent requires a Harbor model") + bare = _bare_model(model_name) + # Register the model under the openai provider pointed at the gateway, so + # opencode neither consults models.dev for it nor talks to a vendor directly. + provider: dict[str, Any] = {"models": {bare: {}}} + if _base_url(): + provider["options"] = {"baseURL": _base_url()} + kwargs["model_name"] = f"openai/{bare}" + kwargs.setdefault("opencode_config", {}) + kwargs["opencode_config"] = { + **{"provider": {"openai": provider}}, + **kwargs["opencode_config"], + } + super().__init__(*args, **kwargs) + + @override + def version(self) -> str | None: + return self._version or "vendored" + + @override + async def setup(self, environment: BaseEnvironment) -> None: + result = await environment.exec("mkdir -p /app", timeout_sec=30) + if result.return_code != 0: + raise RuntimeError(result.stderr or "could not prepare /app") + await super().setup(environment) + + @override + async def install(self, environment: BaseEnvironment) -> None: + # The run pipeline pipes through `stdbuf` (coreutils); most images have it. + # No node/npm: the binary is self-contained. harbor 0.20.0 (the sidecar's + # version) has no ensure_system_dependencies, so do it by hand. + await self.exec_as_root( + environment, + command=( + "command -v stdbuf >/dev/null 2>&1 || " + "(apt-get update -qq && apt-get install -y -qq coreutils) || " + "apk add --no-cache coreutils || true" + ), + ) + if GaiaAgent._build_lock is None: + GaiaAgent._build_lock = asyncio.Lock() + async with GaiaAgent._build_lock: + binary = await asyncio.to_thread(_build.build_binary) + staged = "/tmp/opencode.upload" + await environment.upload_file(binary, staged) + await self.exec_as_root( + environment, + command=f"mv {shlex.quote(staged)} {shlex.quote(REMOTE_BINARY)} && chmod 755 {shlex.quote(REMOTE_BINARY)}", + ) + + @override + async def run(self, instruction: str, environment: BaseEnvironment, context: AgentContext) -> None: + # The stock runner copies OPENAI_API_KEY / OPENAI_BASE_URL from this process + # into the container for the `openai` provider; nothing to remap. + await super().run(ANSWER_FILE_INSTRUCTION + instruction, environment, context) diff --git a/harness-opt-bench/gaia/baseline/target-opencode/tests/test_agent.py b/harness-opt-bench/gaia/baseline/target-opencode/tests/test_agent.py new file mode 100644 index 00000000..f3535b66 --- /dev/null +++ b/harness-opt-bench/gaia/baseline/target-opencode/tests/test_agent.py @@ -0,0 +1,67 @@ +"""Behaviour the wrapper must keep: model routing and the build contract. + +Nothing here builds opencode or talks to a model; those paths are exercised by +the benchmark's smoke run. +""" + +from __future__ import annotations + +import pytest +from harbor.agents.installed.opencode import OpenCode + +from gaia_agent import _build +from gaia_agent.agent import GaiaAgent, _bare_model + + +def test_agent_is_the_stock_opencode_runner_with_a_vendored_binary(tmp_path, monkeypatch): + monkeypatch.setenv("OPENAI_API_KEY", "test-key") + monkeypatch.setenv("OPENAI_BASE_URL", "https://gateway.test/v1") + agent = GaiaAgent(logs_dir=tmp_path / "logs", model_name="azure_ai/gpt-5.4-mini") + assert isinstance(agent, OpenCode) + # The gateway allow-lists the bare name; opencode sees it under the openai provider. + assert agent.model_name == "openai/gpt-5.4-mini" + provider = agent._opencode_config["provider"]["openai"] + assert "gpt-5.4-mini" in provider["models"] + assert provider["options"]["baseURL"] == "https://gateway.test/v1" + + +def test_agent_requires_model(tmp_path): + with pytest.raises(ValueError, match="requires a Harbor model"): + GaiaAgent(logs_dir=tmp_path) + + +def test_bare_model_strips_any_provider_prefix(): + assert _bare_model("azure_ai/gpt-5.4-mini") == "gpt-5.4-mini" + assert _bare_model("openai/gpt-5.4-mini") == "gpt-5.4-mini" + assert _bare_model("gpt-5.4-mini") == "gpt-5.4-mini" + + +def test_tree_hash_ignores_build_outputs(tmp_path): + (tmp_path / "package.json").write_text("{}") + before = _build.tree_hash(tmp_path) + (tmp_path / "node_modules").mkdir() + (tmp_path / "node_modules" / "x.js").write_text("1") + (tmp_path / "dist").mkdir() + (tmp_path / "dist" / "opencode").write_text("bin") + assert _build.tree_hash(tmp_path) == before + (tmp_path / "package.json").write_text('{"changed": true}') + assert _build.tree_hash(tmp_path) != before + + +def test_prebuilt_binary_short_circuits_the_build(tmp_path, monkeypatch): + binary = tmp_path / "opencode" + binary.write_text("#!/bin/sh\n") + monkeypatch.setenv("VERO_OPENCODE_BINARY", str(binary)) + assert _build.build_binary(tmp_path) == binary + + +def test_missing_source_is_an_error(tmp_path, monkeypatch): + monkeypatch.delenv("VERO_OPENCODE_BINARY", raising=False) + monkeypatch.setenv("VERO_OPENCODE_BUILD_CACHE", str(tmp_path / "cache")) + with pytest.raises(RuntimeError, match="no opencode source"): + _build.build_binary(tmp_path / "empty") + + +def test_run_tells_opencode_where_the_grader_reads_the_answer(): + from gaia_agent.agent import ANSWER_FILE_INSTRUCTION + assert "/app/answer.txt" in ANSWER_FILE_INSTRUCTION diff --git a/harness-opt-bench/scripts/rescore_candidate.py b/harness-opt-bench/scripts/rescore_candidate.py index b8239143..c933505d 100644 --- a/harness-opt-bench/scripts/rescore_candidate.py +++ b/harness-opt-bench/scripts/rescore_candidate.py @@ -48,10 +48,10 @@ def log(message: str) -> None: print(f"[rescore] {message}", flush=True) -def load_build(benchmark: str) -> tuple[dict, Path]: +def load_build(benchmark: str, build_file: str = "build.yaml") -> tuple[dict, Path]: import yaml # provided by the vero environment - path = BENCH_ROOT / benchmark / "baseline" / "build.yaml" + path = BENCH_ROOT / benchmark / "baseline" / build_file if not path.is_file(): sys.exit(f"no build.yaml for benchmark {benchmark!r} at {path}") return yaml.safe_load(path.read_text()), path @@ -164,6 +164,8 @@ def harbor_command( concurrency: int, model: str, params: dict[str, str], + agent_env: list[str] | None = None, + agent_setup_timeout_multiplier: float | None = None, ) -> list[str]: """Mirror vero/src/vero/harbor/backend.py::_command and the baseline runs. @@ -183,7 +185,8 @@ def harbor_command( "--python", str(build.get("harbor_python_version", "3.12")), "--no-config", "--no-env-file", "--project", str(workspace), - "--with", build.get("harbor_requirement", "harbor==0.20.0"), + # resolve the `${harbor_requirement:-...}` placeholder the September builds use + "--with", resolve_param(str(build.get("harbor_requirement", "harbor==0.20.0")), params), "harbor", "run", "--yes", *source_args, "--agent-import-path", build["agent_import_path"], @@ -195,6 +198,13 @@ def harbor_command( ] for task in tasks: command.extend(["-i", task]) + # agent-container env (harbor --ae NAME=VALUE); e.g. the BrowseComp-Plus agent + # insists on VERO_AGENT_INFERENCE_* and refuses to fall back to OPENAI_*. + for kv in agent_env or []: + command.extend(["--ae", kv]) + # setup-only (install/upload) budget; the agent execution timeout stays at 1.0 + if agent_setup_timeout_multiplier is not None: + command.extend(["--agent-setup-timeout-multiplier", str(agent_setup_timeout_multiplier)]) command.extend(str(a) for a in build.get("extra_harbor_args", [])) return command @@ -233,6 +243,8 @@ def main() -> int: ), ) parser.add_argument("--benchmark", required=True) + parser.add_argument("--build-file", default="build.yaml", + help="build yaml under /baseline/ (e.g. build.routed.yaml)") parser.add_argument("--version", help="candidate sha (default: the shipped one)") parser.add_argument("--partition", default="test") parser.add_argument( @@ -250,12 +262,17 @@ def main() -> int: parser.add_argument("--concurrency", type=int, default=24) parser.add_argument("--param", action="append", default=[], metavar="NAME=VALUE", help="build parameter, e.g. inner_env=modal (repeatable)") + parser.add_argument("--agent-env", action="append", default=[], metavar="NAME=VALUE", + help="extra env for the agent container (harbor --ae); repeatable") + parser.add_argument("--agent-setup-timeout-multiplier", type=float, + help="harbor --agent-setup-timeout-multiplier (default 1.0 = 360 s); " + "raise it when the agent uploads a large binary from this host") parser.add_argument("--output", help="output dir (default: a temp dir)") parser.add_argument("--dry-run", action="store_true") args = parser.parse_args() params = dict(item.split("=", 1) for item in args.param) - build, build_path = load_build(args.benchmark) + build, build_path = load_build(args.benchmark, args.build_file) outdir = Path(args.output).resolve() if args.output else Path( tempfile.mkdtemp(prefix=f"rescore-{args.benchmark}-")) outdir.mkdir(parents=True, exist_ok=True) @@ -269,8 +286,11 @@ def main() -> int: workspace = outdir / "seed" if workspace.exists(): shutil.rmtree(workspace) + # node_modules/dist are host build state, not part of the seed (the opencode + # targets carry a 2.8 GB install); the binary comes from VERO_OPENCODE_BINARY + # or is rebuilt on demand. shutil.copytree(origin, workspace, ignore=shutil.ignore_patterns( - "__pycache__", "*.pyc", ".venv", ".git")) + "__pycache__", "*.pyc", ".venv", ".git", "node_modules", "dist", ".turbo")) version = "seed" log(f"seed harness from {origin}") else: @@ -313,6 +333,8 @@ def main() -> int: build=build, build_path=build_path, workspace=workspace, tasks=tasks, jobs_dir=jobs_dir, attempts=args.attempts, concurrency=args.concurrency, model=routed_model(build, args.model or build["model"], params), + agent_env=args.agent_env, + agent_setup_timeout_multiplier=args.agent_setup_timeout_multiplier, params=params, ) if args.dry_run: diff --git a/harness-opt-bench/terminal-bench/README.md b/harness-opt-bench/terminal-bench/README.md index d29bb858..4854a07b 100644 --- a/harness-opt-bench/terminal-bench/README.md +++ b/harness-opt-bench/terminal-bench/README.md @@ -11,9 +11,9 @@ score is a pass rate. | Task source | Terminal-Bench 2.1, pinned by content digest | | Cases | 89 | | Development / validation / test | 17 / 36 / 36 | -| Editable harness | `baseline/target/` | +| Editable harness | `baseline/target/` (working seed); `baseline/target-shell/` (skeleton); `baseline/target-opencode/` (opencode source) | | Target model | `grok-build-0.1` | -| Pinned seed baseline | 0.2407 ± 0.0131 | +| Pinned seed baselines | 0.2407 ± 0.0131 working target; 0.0 shell target | Development exposes complete results and task resources. Validation is aggregate-only, and test is held out for final scoring. @@ -65,10 +65,24 @@ headroom and requires no special scoring rule. | File | Purpose | | --- | --- | -| `baseline/build.yaml` | Standard benchmark | +| `baseline/build.yaml` | Standard benchmark: improve the working seed agent | | `baseline/build.routed.yaml` | Same benchmark with one explicit optimizer-model alias | - -The configuration test ensures the routed variant differs only by that alias. +| `baseline/build.shell.yaml` | Non-solving skeleton seed: build the agent from scratch | +| `baseline/build.opencode.yaml` | Full-harness seed: opencode, vendored as source in `baseline/target-opencode/opencode/` and compiled per candidate | + +The configuration tests ensure the routed variant differs only by that alias, +and that the shell variant shares the tasks, model, budgets and evaluation policy +of the standard build and differs only in its seed and framing. The shell seed +runs no commands, so its baseline is zero by construction; confirm it with one +baseline round before quoting deltas against it. + +Together the three seeds form a ladder of starting complexity -- nothing, a +hand-written loop, a full coding harness -- on the same tasks, model and budget. +The opencode seed is a git submodule pinned to one upstream commit; run +`git submodule update --init` before compiling. Its wrapper subclasses harbor's +opencode runner and, instead of installing the npm release, compiles the vendored +tree on the evaluation host (Bun, cached by source hash) and uploads the binary +into each task container, so edits anywhere in the source are what gets scored. Compile from the repository root: diff --git a/harness-opt-bench/terminal-bench/baseline/build.opencode.yaml b/harness-opt-bench/terminal-bench/baseline/build.opencode.yaml new file mode 100644 index 00000000..9f9b13b4 --- /dev/null +++ b/harness-opt-bench/terminal-bench/baseline/build.opencode.yaml @@ -0,0 +1,156 @@ +# Field meanings and the shared rules are in ../../CONFIGURATION.md; comments here +# cover only what is specific to this benchmark. +name: vero/optimize-terminal-bench-opencode +description: >- + Improve opencode -- a full open-source coding agent, vendored as source under + opencode/ and compiled for each candidate -- on Terminal-Bench 2.1, while + preserving the Harbor agent interface of the wrapper in src/. Each task gives + the agent a container and a goal; the task's own tests decide pass or fail, so + the reward is a pass rate. Anything in the opencode source is editable: prompts, + tools, the agent loop, provider handling, defaults. + +# Target model and baseline_reward are both measured and pinned. See +# ../README.md for the model probe and runs/BASELINES.md for the pinning. + +agent_repo: target-opencode +task_source: terminal-bench/terminal-bench-2-1@sha256:7d7bdc1cbedad549fc1140404bd4dc45e5fd0ea7c4186773687d177ad3a0699a +task_manifest: ../partitions/manifest.json +agent_import_path: terminal_bench_agent.agent:TerminalBenchAgent +harbor_requirement: ${harbor_requirement:-harbor[modal]==0.20.0} +vero_requirement: scaleapi-vero==0.6.0 + +partition_files: + development: ../partitions/development.json + validation: ../partitions/validation.json + test: ../partitions/test.json + +# total_cases = 4 full passes per partition (dev 17*4, validation 36*4). +agent_access: + - partition: development + disclosure: full + expose_case_resources: true + total_runs: 100 + total_cases: 68 + - partition: validation + disclosure: aggregate + expose_case_resources: false + min_aggregate_cases: 5 + total_runs: 100 + total_cases: 144 + +selection_partition: validation +targets: + - partition: test + reward_key: reward + # TODO(seed-complexity): measure with rescore_candidate.py --seed --build-file + # build.opencode.yaml (K=3) and pin here before quoting deltas. + baseline_reward: 0.0 + failure_value: 0.0 + max_attempts: 1 + n_attempts: 3 + aggregate_attempts: mean + +evaluation_set_name: terminal-bench +objective: + selector: + metric: score + direction: maximize +reward_mode: submit # agent picks; falls back to auto_best, then current version +baseline_floor: false # gates on validation while reward is on test; opt-in only +score_baseline: false +rescore_top_k: 3 +rescore_attempts: 1 + +# Selected from a development-set probe for strong performance with room for +# optimization. See ../README.md for the benchmark-level results. +model: grok-build-0.1 +environment_name: ${inner_env:?set inner_env to a Harbor environment} +extra_harbor_args: ["--ek", "app_name=harness-opt-bench", "--ek", "sandbox_idle_timeout_secs=14400"] +harbor_python_version: "3.12" +n_attempts: 1 +max_retries: 4 +retry_max_wait_seconds: 120 +infrastructure_max_attempts: 3 +infrastructure_retry_delay_seconds: 5 +aggregate_attempts: best +feedback_transcripts: true +feedback_max_bytes: 16000 +expose_attempt_detail: false + +# Equal values preserve each task's own declared timeout through Harbor's ratio. +case_timeout_seconds: 900 +task_agent_timeout_seconds: 900 + +# Above the 36,000-second worst case at the configured concurrency. +timeout_seconds: 43200 +verifier_timeout_seconds: 64800 +optimizer_sandbox_timeout_seconds: 86400 +optimizer_sandbox_idle_timeout_seconds: 14400 +# The vendored opencode image takes 10-23 min to start on Modal; the 1800 s default +# timed out ~10 launches (EnvironmentStartTimeoutError). +build_timeout_seconds: 5400 +optimizer_agent_timeout_seconds: 72000 +optimizer_allow_internet: true +optimizer_harness_versions: + claude-code: 2.1.220 + codex: 0.146.0 + opencode: 1.18.10 + kimi-cli: 1.49.0 + goose: 1.45.0 + mini-swe-agent: 2.4.6 + +secrets: + - MODAL_TOKEN_ID + - MODAL_TOKEN_SECRET + - MODAL_ENVIRONMENT + - WANDB_API_KEY + - WANDB_BASE_URL + +wandb: + project: harness-engineering-bench + group: terminal-bench + name: ${wandb_run:-terminal-bench-opencode} + tags: [terminal-bench, opencode-seed] + log_traces: true +max_concurrency: 24 +error_rate_threshold: 0.1 + +# opencode runs inside the task container, which cannot reach the compose-internal +# evaluation gateway. This hands the container the public upstream (OPENAI_*), as +# task-owned services already get; the metered gateway stays on VERO_AGENT_INFERENCE_* +# for in-process agents. Consequence: the target model is fixed by the wrapper, not by +# the gateway allow-list, and its use is audited from the upstream per-key request log. +task_services_use_upstream: true +# Required by the flag above (as in browsecomp-plus): the isolated harness user +# would otherwise see the raw upstream credential in its environment. +harness_user: null +agent_env: + BASH_MAX_TIMEOUT_MS: "28800000" + BASH_DEFAULT_TIMEOUT_MS: "28800000" + ENABLE_BACKGROUND_TASKS: "0" + FORCE_AUTO_BACKGROUND_TASKS: "0" + UV_TOOL_BIN_DIR: "/home/agent/.local/bin" + +inference_gateway: + upstream_api_key_env: OPENAI_API_KEY + upstream_base_url_env: OPENAI_BASE_URL + request_log_attribution: true + producer: + allowed_models: ["${optimizer_model:-gpt-5.4}"] + max_concurrency: 8 + evaluation: + allowed_models: [grok-build-0.1] + model_aliases: + grok-build-0.1: ${target_model_route:-xai/grok-build-0.1} + max_requests: 200000 + max_tokens: 1200000000 + max_concurrency: 64 + finalization: + allowed_models: [grok-build-0.1] + model_aliases: + grok-build-0.1: ${target_model_route:-xai/grok-build-0.1} + max_requests: 200000 + max_tokens: 1100000000 + max_concurrency: 64 +instruct_multifidelity: true +instruct_exhaust_budget: true diff --git a/harness-opt-bench/terminal-bench/baseline/build.shell.yaml b/harness-opt-bench/terminal-bench/baseline/build.shell.yaml new file mode 100644 index 00000000..689261d6 --- /dev/null +++ b/harness-opt-bench/terminal-bench/baseline/build.shell.yaml @@ -0,0 +1,146 @@ +# Field meanings and the shared rules are in ../../CONFIGURATION.md; comments here +# cover only what is specific to this benchmark. +name: vero/optimize-terminal-bench-shell +description: >- + The program must solve Terminal-Bench 2.1 tasks: each task gives the agent a + Linux container and a goal, and the task's own tests grade the container's + final state. How it does that is yours to decide -- the approach, what the + agent can do, how it uses its environment, how many model calls it takes, and + when it stops. Preserve the Harbor agent interface and the class import path. +instruction_template: instruction.shell.md.j2 + +# Target model matches build.yaml. baseline_reward is zero by construction (see targets). + +agent_repo: target-shell +task_source: terminal-bench/terminal-bench-2-1@sha256:7d7bdc1cbedad549fc1140404bd4dc45e5fd0ea7c4186773687d177ad3a0699a +task_manifest: ../partitions/manifest.json +agent_import_path: terminal_bench_agent.agent:TerminalBenchAgent +harbor_requirement: ${harbor_requirement:-harbor[modal]==0.20.0} +vero_requirement: scaleapi-vero==0.6.0 + +partition_files: + development: ../partitions/development.json + validation: ../partitions/validation.json + test: ../partitions/test.json + +# total_cases = 4 full passes per partition (dev 17*4, validation 36*4). +agent_access: + - partition: development + disclosure: full + expose_case_resources: true + total_runs: 100 + total_cases: 68 + - partition: validation + disclosure: aggregate + expose_case_resources: false + min_aggregate_cases: 5 + total_runs: 100 + total_cases: 144 + +selection_partition: validation +targets: + - partition: test + reward_key: reward + # Zero by construction, not by measurement: the skeleton runs no commands, + # so every task's tests grade an untouched container. Confirm with one + # baseline round before quoting deltas -- the number is a claim about the + # seed, not a measurement of it. + baseline_reward: 0.0 + failure_value: 0.0 + max_attempts: 1 + n_attempts: 3 + aggregate_attempts: mean + +evaluation_set_name: terminal-bench +objective: + selector: + metric: score + direction: maximize +reward_mode: submit # agent picks; falls back to auto_best, then current version +baseline_floor: false # gates on validation while reward is on test; opt-in only +score_baseline: false +rescore_top_k: 3 +rescore_attempts: 1 + +# Selected from a development-set probe for strong performance with room for +# optimization. See ../README.md for the benchmark-level results. +model: grok-build-0.1 +environment_name: ${inner_env:?set inner_env to a Harbor environment} +extra_harbor_args: ["--ek", "app_name=harness-opt-bench", "--ek", "sandbox_idle_timeout_secs=3600"] +harbor_python_version: "3.12" +n_attempts: 1 +max_retries: 4 +retry_max_wait_seconds: 120 +infrastructure_max_attempts: 3 +infrastructure_retry_delay_seconds: 5 +aggregate_attempts: best +feedback_transcripts: true +feedback_max_bytes: 16000 +expose_attempt_detail: false + +# Equal values preserve each task's own declared timeout through Harbor's ratio. +case_timeout_seconds: 900 +task_agent_timeout_seconds: 900 + +# Above the 36,000-second worst case at the configured concurrency. +timeout_seconds: 43200 +verifier_timeout_seconds: 64800 +optimizer_sandbox_timeout_seconds: 86400 +optimizer_sandbox_idle_timeout_seconds: 3600 +optimizer_agent_timeout_seconds: 72000 +optimizer_allow_internet: true +optimizer_harness_versions: + claude-code: 2.1.220 + codex: 0.146.0 + opencode: 1.18.10 + kimi-cli: 1.49.0 + goose: 1.45.0 + mini-swe-agent: 2.4.6 + +secrets: + - MODAL_TOKEN_ID + - MODAL_TOKEN_SECRET + - MODAL_ENVIRONMENT + - WANDB_API_KEY + - WANDB_BASE_URL + +wandb: + project: harness-engineering-bench + group: terminal-bench + name: ${wandb_run:-terminal-bench-shell} + tags: [terminal-bench, shell-seed] + log_traces: true +max_concurrency: 24 +error_rate_threshold: 0.1 + +harness_user: harness +agent_env: + BASH_MAX_TIMEOUT_MS: "28800000" + BASH_DEFAULT_TIMEOUT_MS: "28800000" + ENABLE_BACKGROUND_TASKS: "0" + FORCE_AUTO_BACKGROUND_TASKS: "0" + UV_TOOL_BIN_DIR: "/home/agent/.local/bin" + +inference_gateway: + upstream_api_key_env: OPENAI_API_KEY + upstream_base_url_env: OPENAI_BASE_URL + request_log_attribution: true + producer: + allowed_models: ["${optimizer_model:-gpt-5.4}"] + max_concurrency: 8 + evaluation: + allowed_models: [grok-build-0.1] + model_aliases: + grok-build-0.1: ${target_model_route:-xai/grok-build-0.1} + max_requests: 200000 + max_tokens: 1200000000 + max_concurrency: 64 + finalization: + allowed_models: [grok-build-0.1] + model_aliases: + grok-build-0.1: ${target_model_route:-xai/grok-build-0.1} + max_requests: 200000 + max_tokens: 1100000000 + max_concurrency: 64 +instruct_multifidelity: true +instruct_exhaust_budget: true diff --git a/harness-opt-bench/terminal-bench/baseline/instruction.shell.md.j2 b/harness-opt-bench/terminal-bench/baseline/instruction.shell.md.j2 new file mode 100644 index 00000000..6aa008a2 --- /dev/null +++ b/harness-opt-bench/terminal-bench/baseline/instruction.shell.md.j2 @@ -0,0 +1,28 @@ +{# Framing for a shell-seed task: there is no working program to improve, so the + built-in opening ("Improve the program ... ") is wrong here and would be the + first thing the optimizer reads. Everything below the framing -- workflow, + budget, inspection, rules -- is inherited unchanged, so this variant stays in + step with the shared instruction as it evolves. #} +{% extends "instruction.md.j2" %} +{% block framing %} +# Build the program, then optimize it + +The program in `{{ layout.target_repo }}` is a skeleton. It satisfies the agent +interface and runs to completion, but it does not attempt the task: it runs no +commands in the container and scores zero. There is no working implementation to tune. + +Write one, then make it score as highly as possible on the hidden final evaluation. +The trusted evaluation sidecar owns the cases, scoring, +{% if disclose_budget %}budget, {% endif %}and final candidate selection. + +Both halves count. An implementation that merely runs is worth little, and time +spent refining a design before anything scores is worth nothing. Reach something +that scores, measure it, and improve from there. +{% if description %} + +## Objective + +{{ description }} +{% endif %} + +{% endblock %} diff --git a/harness-opt-bench/terminal-bench/baseline/target-opencode/.gitignore b/harness-opt-bench/terminal-bench/baseline/target-opencode/.gitignore new file mode 100644 index 00000000..0c6c9cd1 --- /dev/null +++ b/harness-opt-bench/terminal-bench/baseline/target-opencode/.gitignore @@ -0,0 +1,6 @@ +.venv/ +__pycache__/ +*.pyc +opencode/node_modules/ +opencode/**/node_modules/ +opencode/**/dist/ diff --git a/harness-opt-bench/terminal-bench/baseline/target-opencode/opencode b/harness-opt-bench/terminal-bench/baseline/target-opencode/opencode new file mode 160000 index 00000000..e03db9bc --- /dev/null +++ b/harness-opt-bench/terminal-bench/baseline/target-opencode/opencode @@ -0,0 +1 @@ +Subproject commit e03db9bc6908f75c9334d8aa997deeaac81c0298 diff --git a/harness-opt-bench/terminal-bench/baseline/target-opencode/pyproject.toml b/harness-opt-bench/terminal-bench/baseline/target-opencode/pyproject.toml new file mode 100644 index 00000000..ff665909 --- /dev/null +++ b/harness-opt-bench/terminal-bench/baseline/target-opencode/pyproject.toml @@ -0,0 +1,24 @@ +[project] +name = "vero-terminal-bench-opencode-agent" +version = "0.1.0" +description = "Terminal-Bench target: the opencode coding harness, built from vendored source" +requires-python = ">=3.12" +dependencies = [ + "harbor==0.20.0", +] + +[build-system] +requires = ["hatchling"] +build-backend = "hatchling.build" + +[tool.hatch.build.targets.wheel] +packages = ["src/terminal_bench_agent"] + +[dependency-groups] +dev = [ + "pytest>=9.0.2", + "pytest-asyncio>=1.3.0", +] + +[tool.pytest.ini_options] +testpaths = ["tests"] diff --git a/harness-opt-bench/terminal-bench/baseline/target-opencode/src/terminal_bench_agent/__init__.py b/harness-opt-bench/terminal-bench/baseline/target-opencode/src/terminal_bench_agent/__init__.py new file mode 100644 index 00000000..deb7ab0c --- /dev/null +++ b/harness-opt-bench/terminal-bench/baseline/target-opencode/src/terminal_bench_agent/__init__.py @@ -0,0 +1 @@ +"""Terminal-Bench target: opencode, built from the vendored source tree.""" diff --git a/harness-opt-bench/terminal-bench/baseline/target-opencode/src/terminal_bench_agent/_build.py b/harness-opt-bench/terminal-bench/baseline/target-opencode/src/terminal_bench_agent/_build.py new file mode 100644 index 00000000..33d9445c --- /dev/null +++ b/harness-opt-bench/terminal-bench/baseline/target-opencode/src/terminal_bench_agent/_build.py @@ -0,0 +1,127 @@ +"""Build the vendored opencode source into a single Linux binary, once per tree. + +The editable target vendors the opencode monorepo under ``opencode/``. Each +evaluation runs the agent class in the harbor process (the evaluation host), so +the build happens there: install the workspace with Bun, compile the CLI for the +host platform, and cache the binary under a content hash of the source tree. Every +trial then uploads the cached binary into its task container. A tree that does not +compile raises here, before any trial spends model budget on a broken agent. +""" + +from __future__ import annotations + +import fcntl +import hashlib +import os +import platform +import shutil +import subprocess +from pathlib import Path + +BUN_VERSION = "1.3.14" # opencode's packageManager pin +EXCLUDED_DIRS = {"node_modules", "dist", ".git", ".turbo", ".sst"} + + +def repo_dir() -> Path: + """The vendored opencode checkout that ships inside this target.""" + return Path(__file__).resolve().parents[2] / "opencode" + + +def cache_root() -> Path: + return Path(os.environ.get("VERO_OPENCODE_BUILD_CACHE", Path.home() / ".cache" / "vero-opencode")) + + +def tree_hash(root: Path) -> str: + """Content hash of the source tree, ignoring build outputs and dependencies.""" + digest = hashlib.sha256() + for dirpath, dirnames, filenames in os.walk(root): + dirnames[:] = sorted(d for d in dirnames if d not in EXCLUDED_DIRS) + for name in sorted(filenames): + path = Path(dirpath) / name + if path.is_symlink(): + continue + digest.update(path.relative_to(root).as_posix().encode()) + digest.update(b"\0") + with path.open("rb") as handle: + for chunk in iter(lambda: handle.read(1 << 20), b""): + digest.update(chunk) + digest.update(b"\0") + return digest.hexdigest()[:16] + + +def _bun() -> str: + """A Bun of the pinned version: on PATH, in ~/.bun, or fetched from GitHub. + + The official install script needs curl and unzip on the host; the evaluation + host is not guaranteed either, so fetch the release zip with the standard + library and unpack it ourselves. + """ + found = shutil.which("bun") or str(Path.home() / ".bun" / "bin" / "bun") + if Path(found).exists(): + return found + import io + import urllib.request + import zipfile + + system = platform.system().lower() # linux / darwin + arch = {"x86_64": "x64", "amd64": "x64", "arm64": "aarch64", "aarch64": "aarch64"}[platform.machine().lower()] + name = f"bun-{system}-{arch}" + url = f"https://github.com/oven-sh/bun/releases/download/bun-v{BUN_VERSION}/{name}.zip" + _log(f"fetching {url}") + with urllib.request.urlopen(url, timeout=300) as response: + payload = response.read() + target = Path.home() / ".bun" / "bin" + target.mkdir(parents=True, exist_ok=True) + with zipfile.ZipFile(io.BytesIO(payload)) as archive: + with archive.open(f"{name}/bun") as src, (target / "bun").open("wb") as dst: + shutil.copyfileobj(src, dst) + (target / "bun").chmod(0o755) + return str(target / "bun") + + +def _log(message: str) -> None: + print(f"[opencode-build] {message}", flush=True) + + +def build_binary(root: Path | None = None) -> Path: + """Return a compiled opencode binary for the host platform, building if needed.""" + prebuilt = os.environ.get("VERO_OPENCODE_BINARY") + if prebuilt: + return Path(prebuilt) + root = root or repo_dir() + if not (root / "package.json").exists(): + raise RuntimeError(f"no opencode source at {root}; is the submodule checked out?") + key = tree_hash(root) + out_dir = cache_root() / key + binary = out_dir / "opencode" + out_dir.mkdir(parents=True, exist_ok=True) + with (out_dir / ".lock").open("w") as lock: + fcntl.flock(lock, fcntl.LOCK_EX) + try: + if binary.exists(): + return binary + bun = _bun() + env = { + **os.environ, + "BUN_INSTALL_CACHE_DIR": str(cache_root() / "bun-cache"), + # husky's `prepare` hook and interactive prompts have no place here + "HUSKY": "0", "CI": "1", + } + _log(f"tree {key}: bun install") + subprocess.run([bun, "install", "--frozen-lockfile"], cwd=root, check=True, + capture_output=True, text=True, env=env) + _log(f"tree {key}: compile for {platform.system().lower()}-{platform.machine()}") + subprocess.run([bun, "run", "script/build.ts", "--single", "--skip-embed-web-ui", "--skip-install"], + cwd=root / "packages" / "opencode", check=True, capture_output=True, text=True, env=env) + built = sorted((root / "packages" / "opencode" / "dist").glob("opencode-*/bin/opencode")) + if not built: + raise RuntimeError("opencode build produced no binary under packages/opencode/dist") + shutil.copy2(built[0], binary) + binary.chmod(0o755) + _log(f"tree {key}: cached {binary}") + return binary + except subprocess.CalledProcessError as error: + tail = (error.stderr or error.stdout or "")[-4000:] + raise RuntimeError(f"opencode build failed ({error.cmd[0]} {error.cmd[1]}):\n{tail}") from error + finally: + fcntl.flock(lock, fcntl.LOCK_UN) diff --git a/harness-opt-bench/terminal-bench/baseline/target-opencode/src/terminal_bench_agent/agent.py b/harness-opt-bench/terminal-bench/baseline/target-opencode/src/terminal_bench_agent/agent.py new file mode 100644 index 00000000..fd3b47b2 --- /dev/null +++ b/harness-opt-bench/terminal-bench/baseline/target-opencode/src/terminal_bench_agent/agent.py @@ -0,0 +1,142 @@ +"""Terminal-Bench target: the opencode coding harness, run from vendored source. + +The editable surface is the whole opencode source tree under ``opencode/`` plus +this wrapper. Harbor's stock opencode runner is reused for the trajectory format +and the run command; what changes is where the binary comes from. Instead of +``npm i -g opencode-ai`` the wrapper compiles the vendored tree on the evaluation +host (see ``_build``) and uploads that binary into the task container, so an edit +anywhere in the source is what gets evaluated. + +Inference goes through the OpenAI-compatible endpoint the environment provides +(``OPENAI_BASE_URL`` / ``OPENAI_API_KEY``). The target model is registered under +a provider id opencode has no builtin loader for (see ``WIRE_PROVIDER_ID``) so it +gets a plain Chat Completions client instead of one of opencode's vendor-specific +loaders. Because the agent runs inside the task container, the build sets +``task_services_use_upstream`` so that endpoint is the public upstream litellm +proxy rather than the compose-internal metered gateway; the target model is +therefore fixed by this wrapper, and its use is checked after the fact from the +proxy's per-key request log. +""" + +from __future__ import annotations + +import asyncio +import os +import shlex +from typing import Any, override + +from harbor.agents.installed.opencode import OpenCode +from harbor.environments.base import BaseEnvironment + +from terminal_bench_agent import _build + +REMOTE_BINARY = "/usr/local/bin/opencode" + + +def _bare_model(model_name: str) -> str: + """``xai/grok-build-0.1`` and ``openai/grok-build-0.1`` both mean ``grok-build-0.1``.""" + return model_name.rsplit("/", 1)[-1] + + +def _base_url() -> str | None: + # opencode runs inside the task container, so it needs an endpoint the container + # can reach. Under `task_services_use_upstream` VeRO puts the public upstream in + # OPENAI_BASE_URL; the VERO_AGENT_INFERENCE_* gateway is compose-internal and is + # deliberately not used here. + return os.environ.get("OPENAI_BASE_URL") + + +def _api_key() -> str | None: + return os.environ.get("OPENAI_API_KEY") + + +def _wire_model_id(bare: str) -> str: + """The model string actually sent to the upstream endpoint. + + Harbor passes the bare name (``grok-build-0.1``) as ``model_name``, but the + litellm proxy's model_group for it is registered under the vendor-prefixed + form (``xai/grok-build-0.1``); the bare name 401s ("key not allowed to + access model") and litellm's error for it misleadingly claims the key can + only reach a model_group named "default" - that group has no healthy + deployment and is a red herring. opencode's config lets a model declare a + separate wire id (``models..id``) while keeping ``bare`` as the + routing key everywhere else (CLI --model, prompt selection, logging), so + only the outgoing request string changes. Overridable for other envs. + """ + return os.environ.get("VERO_OPENCODE_WIRE_MODEL_ID", f"xai/{bare}") + + +# A provider id opencode has no special-cased behaviour for. opencode's builtin +# "openai" provider loader unconditionally sends every request through the +# Responses API (`sdk.responses(modelID)`, see provider/provider.ts), which the +# upstream litellm proxy 400s on for this model/key ("no healthy deployments +# for this model" at /v1/responses). Registering under a provider id opencode +# doesn't recognize falls back to the plain @ai-sdk/openai-compatible client, +# which talks Chat Completions instead - the endpoint the proxy actually has a +# healthy deployment for. +WIRE_PROVIDER_ID = "opencode-target" + + +class TerminalBenchAgent(OpenCode): + """opencode, built from this repository, as the Terminal-Bench agent.""" + + _build_lock: asyncio.Lock | None = None + + @staticmethod + @override + def name() -> str: + return "terminal-bench-opencode" + + def __init__(self, *args: Any, **kwargs: Any) -> None: + model_name = kwargs.get("model_name") + if model_name is None: + raise ValueError("Terminal-Bench agent requires a Harbor model") + bare = _bare_model(model_name) + wire_id = _wire_model_id(bare) + # Register the model under a provider id opencode has no builtin loader for + # (see WIRE_PROVIDER_ID), so opencode neither consults models.dev for it nor + # talks to a vendor directly, and defaults to a plain Chat Completions client. + model_config: dict[str, Any] = {"id": wire_id} if wire_id != bare else {} + provider: dict[str, Any] = {"npm": "@ai-sdk/openai-compatible", "models": {bare: model_config}} + options: dict[str, Any] = {} + if _base_url(): + options["baseURL"] = _base_url() + if _api_key(): + options["apiKey"] = _api_key() + if options: + provider["options"] = options + kwargs["model_name"] = f"{WIRE_PROVIDER_ID}/{bare}" + kwargs.setdefault("opencode_config", {}) + kwargs["opencode_config"] = { + **{"provider": {WIRE_PROVIDER_ID: provider}}, + **kwargs["opencode_config"], + } + super().__init__(*args, **kwargs) + + @override + def version(self) -> str | None: + return self._version or "vendored" + + @override + async def install(self, environment: BaseEnvironment) -> None: + # The run pipeline pipes through `stdbuf` (coreutils); most images have it. + # No node/npm: the binary is self-contained. harbor 0.20.0 (the sidecar's + # version) has no ensure_system_dependencies, so do it by hand. + await self.exec_as_root( + environment, + command=( + "command -v stdbuf >/dev/null 2>&1 || " + "(apt-get update -qq && apt-get install -y -qq coreutils) || " + "apk add --no-cache coreutils || true" + ), + ) + if TerminalBenchAgent._build_lock is None: + TerminalBenchAgent._build_lock = asyncio.Lock() + async with TerminalBenchAgent._build_lock: + binary = await asyncio.to_thread(_build.build_binary) + staged = "/tmp/opencode.upload" + await environment.upload_file(binary, staged) + await self.exec_as_root( + environment, + command=f"mv {shlex.quote(staged)} {shlex.quote(REMOTE_BINARY)} && chmod 755 {shlex.quote(REMOTE_BINARY)}", + ) diff --git a/harness-opt-bench/terminal-bench/baseline/target-opencode/tests/test_agent.py b/harness-opt-bench/terminal-bench/baseline/target-opencode/tests/test_agent.py new file mode 100644 index 00000000..8b19fa06 --- /dev/null +++ b/harness-opt-bench/terminal-bench/baseline/target-opencode/tests/test_agent.py @@ -0,0 +1,67 @@ +"""Behaviour the wrapper must keep: model routing and the build contract. + +Nothing here builds opencode or talks to a model; those paths are exercised by +the benchmark's smoke run. +""" + +from __future__ import annotations + +import pytest +from harbor.agents.installed.opencode import OpenCode + +from terminal_bench_agent import _build +from terminal_bench_agent.agent import WIRE_PROVIDER_ID, TerminalBenchAgent, _bare_model + + +def test_agent_is_the_stock_opencode_runner_with_a_vendored_binary(tmp_path, monkeypatch): + monkeypatch.setenv("OPENAI_API_KEY", "test-key") + monkeypatch.setenv("OPENAI_BASE_URL", "https://gateway.test/v1") + agent = TerminalBenchAgent(logs_dir=tmp_path / "logs", model_name="xai/grok-build-0.1") + assert isinstance(agent, OpenCode) + # The gateway allow-lists the bare name; opencode sees it under a provider id it + # has no builtin (Responses-API-forcing) loader for. + assert agent.model_name == f"{WIRE_PROVIDER_ID}/grok-build-0.1" + provider = agent._opencode_config["provider"][WIRE_PROVIDER_ID] + assert "grok-build-0.1" in provider["models"] + # The proxy's model_group for this model is registered under the + # vendor-prefixed form, not the bare name. + assert provider["models"]["grok-build-0.1"]["id"] == "xai/grok-build-0.1" + assert provider["options"]["baseURL"] == "https://gateway.test/v1" + assert provider["options"]["apiKey"] == "test-key" + + +def test_agent_requires_model(tmp_path): + with pytest.raises(ValueError, match="requires a Harbor model"): + TerminalBenchAgent(logs_dir=tmp_path) + + +def test_bare_model_strips_any_provider_prefix(): + assert _bare_model("xai/grok-build-0.1") == "grok-build-0.1" + assert _bare_model("openai/grok-build-0.1") == "grok-build-0.1" + assert _bare_model("grok-build-0.1") == "grok-build-0.1" + + +def test_tree_hash_ignores_build_outputs(tmp_path): + (tmp_path / "package.json").write_text("{}") + before = _build.tree_hash(tmp_path) + (tmp_path / "node_modules").mkdir() + (tmp_path / "node_modules" / "x.js").write_text("1") + (tmp_path / "dist").mkdir() + (tmp_path / "dist" / "opencode").write_text("bin") + assert _build.tree_hash(tmp_path) == before + (tmp_path / "package.json").write_text('{"changed": true}') + assert _build.tree_hash(tmp_path) != before + + +def test_prebuilt_binary_short_circuits_the_build(tmp_path, monkeypatch): + binary = tmp_path / "opencode" + binary.write_text("#!/bin/sh\n") + monkeypatch.setenv("VERO_OPENCODE_BINARY", str(binary)) + assert _build.build_binary(tmp_path) == binary + + +def test_missing_source_is_an_error(tmp_path, monkeypatch): + monkeypatch.delenv("VERO_OPENCODE_BINARY", raising=False) + monkeypatch.setenv("VERO_OPENCODE_BUILD_CACHE", str(tmp_path / "cache")) + with pytest.raises(RuntimeError, match="no opencode source"): + _build.build_binary(tmp_path / "empty") diff --git a/harness-opt-bench/terminal-bench/baseline/target-shell/.gitignore b/harness-opt-bench/terminal-bench/baseline/target-shell/.gitignore new file mode 100644 index 00000000..77ac7549 --- /dev/null +++ b/harness-opt-bench/terminal-bench/baseline/target-shell/.gitignore @@ -0,0 +1,3 @@ +.venv/ +__pycache__/ +*.pyc diff --git a/harness-opt-bench/terminal-bench/baseline/target-shell/pyproject.toml b/harness-opt-bench/terminal-bench/baseline/target-shell/pyproject.toml new file mode 100644 index 00000000..1609cab4 --- /dev/null +++ b/harness-opt-bench/terminal-bench/baseline/target-shell/pyproject.toml @@ -0,0 +1,25 @@ +[project] +name = "vero-terminal-bench-agent" +version = "0.1.0" +description = "Unimplemented Harbor-native Terminal-Bench skeleton for VeRO" +requires-python = ">=3.12" +dependencies = [ + "harbor==0.20.0", + "openai==2.46.0", +] + +[build-system] +requires = ["hatchling"] +build-backend = "hatchling.build" + +[tool.hatch.build.targets.wheel] +packages = ["src/terminal_bench_agent"] + +[dependency-groups] +dev = [ + "pytest>=9.0.2", + "pytest-asyncio>=1.3.0", +] + +[tool.pytest.ini_options] +testpaths = ["tests"] diff --git a/harness-opt-bench/terminal-bench/baseline/target-shell/src/terminal_bench_agent/__init__.py b/harness-opt-bench/terminal-bench/baseline/target-shell/src/terminal_bench_agent/__init__.py new file mode 100644 index 00000000..4cea8b6c --- /dev/null +++ b/harness-opt-bench/terminal-bench/baseline/target-shell/src/terminal_bench_agent/__init__.py @@ -0,0 +1 @@ +"""Editable Terminal-Bench baseline agent.""" diff --git a/harness-opt-bench/terminal-bench/baseline/target-shell/src/terminal_bench_agent/agent.py b/harness-opt-bench/terminal-bench/baseline/target-shell/src/terminal_bench_agent/agent.py new file mode 100644 index 00000000..ed8039a4 --- /dev/null +++ b/harness-opt-bench/terminal-bench/baseline/target-shell/src/terminal_bench_agent/agent.py @@ -0,0 +1,67 @@ +"""Skeleton Harbor agent for Terminal-Bench. + +This module defines the agent class the benchmark loads and nothing else. The +Harbor interface is satisfied, the model is resolved, and an OpenAI client is +constructed, so the process starts and every case runs to completion. `run` does +not attempt the task: it issues no commands and returns. + +Grading runs each task's own tests against the container's final state, so an +untouched container scores whatever those tests give an unmodified environment, +which is zero for every task in the pinned partitions. +""" + +from __future__ import annotations + +from typing import Any, override + +from harbor.agents.base import BaseAgent +from harbor.environments.base import BaseEnvironment +from harbor.models.agent.context import AgentContext +from openai import AsyncOpenAI + + +class TerminalBenchAgent(BaseAgent): + """Terminal-Bench agent whose source is the editable optimization target.""" + + @staticmethod + @override + def name() -> str: + return "terminal-bench-skeleton" + + @override + def version(self) -> str: + return "0.0.0" + + def __init__(self, *args: Any, **kwargs: Any) -> None: + super().__init__(*args, **kwargs) + if self.model_name is None: + raise ValueError("Terminal-Bench agent requires a Harbor model") + # Harbor hands the model through with a provider prefix; the API takes + # the bare name. The gateway allow-lists exactly the bare form, so a + # request that keeps the prefix is denied. + self._api_model = self.model_name.removeprefix("openai/") + # Reads OPENAI_API_KEY and OPENAI_BASE_URL from the environment, which + # point at the metered inference gateway rather than the vendor. + # max_retries absorbs transient 429s in-client: an unretried rate limit + # inside a trial scores at the failure value. + self._client = AsyncOpenAI(max_retries=8) + + @override + async def setup(self, environment: BaseEnvironment) -> None: + result = await environment.exec("mkdir -p /app", timeout_sec=30) + if result.return_code != 0: + raise RuntimeError(result.stderr or "could not prepare /app") + + @override + async def run( + self, + instruction: str, + environment: BaseEnvironment, + context: AgentContext, + ) -> None: + # Not implemented. Nothing is run in the container, so the task's tests + # grade an untouched environment; the run returns without consulting + # the model. + context.n_input_tokens = 0 + context.n_output_tokens = 0 + context.n_cache_tokens = 0 diff --git a/harness-opt-bench/terminal-bench/baseline/target-shell/tests/test_agent.py b/harness-opt-bench/terminal-bench/baseline/target-shell/tests/test_agent.py new file mode 100644 index 00000000..05d58229 --- /dev/null +++ b/harness-opt-bench/terminal-bench/baseline/target-shell/tests/test_agent.py @@ -0,0 +1,66 @@ +"""Smoke tests for the Terminal-Bench skeleton. + +These assert only that the agent satisfies the Harbor interface and can be +constructed and run. They deliberately do not assert anything about how the task +is solved -- that is the thing being built, and a test that pinned a particular +approach would constrain it. Replace or extend these as the implementation grows. +""" + +from types import SimpleNamespace + +import pytest +from harbor.agents.base import BaseAgent + +from terminal_bench_agent.agent import TerminalBenchAgent + + +class FakeEnvironment: + def __init__(self): + self.commands: list[str] = [] + + async def exec(self, command, **kwargs): + self.commands.append(command) + return SimpleNamespace(return_code=0, stdout="", stderr="") + + +def _agent(tmp_path): + return TerminalBenchAgent(logs_dir=tmp_path / "logs", model_name="openai/grok-build-0.1") + + +def test_agent_satisfies_the_harbor_interface(tmp_path, monkeypatch): + monkeypatch.setenv("OPENAI_API_KEY", "test-key") + agent = _agent(tmp_path) + assert isinstance(agent, BaseAgent) + assert isinstance(TerminalBenchAgent.name(), str) + assert isinstance(agent.version(), str) + # The provider prefix is stripped for the API call; the gateway allow-lists + # the bare name. + assert agent._api_model == "grok-build-0.1" + + +def test_agent_requires_model(tmp_path, monkeypatch): + monkeypatch.setenv("OPENAI_API_KEY", "test-key") + with pytest.raises(ValueError, match="requires a Harbor model"): + TerminalBenchAgent(logs_dir=tmp_path) + + +@pytest.mark.asyncio +async def test_setup_prepares_app_directory(tmp_path, monkeypatch): + monkeypatch.setenv("OPENAI_API_KEY", "test-key") + environment = FakeEnvironment() + await _agent(tmp_path).setup(environment) + assert environment.commands == ["mkdir -p /app"] + + +@pytest.mark.asyncio +async def test_run_completes_without_touching_the_container(tmp_path, monkeypatch): + """The skeleton scores zero, but it must score -- not error.""" + monkeypatch.setenv("OPENAI_API_KEY", "test-key") + agent = _agent(tmp_path) + environment = FakeEnvironment() + context = SimpleNamespace(metadata=None, n_input_tokens=None, n_output_tokens=None, n_cache_tokens=None) + + await agent.run("Create /app/hello.txt containing hello", environment, context) + + assert environment.commands == [] 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Absolute links and links + # that escape the root are rejected; filter="data" below enforces + # the same boundary at extraction time. + resolved = PurePosixPath(os.path.normpath(str(path.parent / link))) + if link.is_absolute() or resolved.is_absolute() or resolved.parts[:1] == ("..",): raise ValueError(f"unsafe link in Git archive: {member.linkname!r}") # filter="data" strips device files / setuid bits and neutralizes unsafe # links, matching extract_harbor_session_archive's defensive posture. @@ -161,6 +167,47 @@ def _with_extras(requirement: str, extras: str) -> str: return f"{name}[{extras}]=={version}" +def _materialise_submodules(root: Path, relative: Path, destination: Path) -> None: + """Copy checked-out submodule trees that `git archive` left as empty dirs. + + A submodule is a gitlink (mode 160000) in the superproject: `git archive` + emits it as an empty directory, so a seed that vendors a third-party harness + as a submodule would compile to a hollow baseline. Each gitlink under the + target is archived from the submodule's own checkout at its recorded HEAD, + which is the commit the superproject pins. An un-initialised submodule is an + error rather than a silent omission. + """ + treeish = "HEAD" if str(relative) == "." else f"HEAD:{relative.as_posix()}" + listing = subprocess.run( + ["git", "-C", str(root), "ls-tree", "-r", "-z", treeish], + capture_output=True, + ) + if listing.returncode != 0: + return + for entry in listing.stdout.split(b"\0"): + if not entry.startswith(b"160000 "): + continue + sub_path = entry.split(b"\t", 1)[1].decode("utf-8") + checkout = root / relative / sub_path if str(relative) != "." else root / sub_path + if not (checkout / ".git").exists(): + raise RuntimeError( + f"agent_repo contains submodule {sub_path!r} that is not checked out; " + "run `git submodule update --init --recursive` before compiling" + ) + archived = subprocess.run( + ["git", "-C", str(checkout), "archive", "--format=tar", "HEAD"], + capture_output=True, + ) + if archived.returncode != 0: + raise RuntimeError( + f"git archive of submodule {sub_path!r} failed: " + + archived.stderr.decode("utf-8", errors="replace").strip() + ) + target = destination / sub_path + target.mkdir(parents=True, exist_ok=True) + _safe_extract_tar(archived.stdout, target) + + #: Every compiled baseline commit is stamped with this instant, not the wall #: clock, so its hash is a function of the seed's contents only. BASELINE_COMMIT_DATE = "2000-01-01T00:00:00Z" @@ -192,6 +239,7 @@ def _prepare_baseline_repo( + archived.stderr.decode("utf-8", errors="replace").strip() ) _safe_extract_tar(archived.stdout, destination) + _materialise_submodules(root, relative, destination) else: shutil.copytree( source, diff --git a/vero/tests/test_v05_benchmark_configs.py b/vero/tests/test_v05_benchmark_configs.py index b19e497c..002e3585 100644 --- a/vero/tests/test_v05_benchmark_configs.py +++ b/vero/tests/test_v05_benchmark_configs.py @@ -18,6 +18,7 @@ from __future__ import annotations import re +import subprocess from pathlib import Path import pytest @@ -26,6 +27,8 @@ from vero.harbor import load_harbor_build_config BENCHMARK_ROOT = Path(__file__).resolve().parents[2] / "harness-opt-bench" +# anomalyco/opencode commit both seeds vendor (see .gitmodules and the seed READMEs). +OPENCODE_PIN = "e03db9bc6908f75c9334d8aa997deeaac81c0298" BENCHMARKS = [ "gaia", @@ -221,20 +224,21 @@ def test_terminal_bench_routed_variant_differs_only_by_the_model_alias(): assert "other-model" not in other.inference_gateway.producer.model_aliases -def test_gaia_shell_variant_shares_the_measurement_substrate_and_stays_a_shell(): +@pytest.mark.parametrize("benchmark", ["gaia", "terminal-bench"]) +def test_shell_variant_shares_the_measurement_substrate_and_stays_a_shell(benchmark): """build.shell.yaml must differ from build.yaml only in what makes it a shell. The point of the variant is to ask what an optimizer does with no working seed. That only means something if everything *else* is held fixed: same cases, same target model, same gateway scoping. If the substrate drifts, the - shell run stops being comparable to the seeded gaia run and the comparison + shell run stops being comparable to the seeded run and the comparison it exists to support is gone. The second half asserts the seed is actually empty. Nothing else in the suite would notice an implementation quietly reappearing in the skeleton, and a shell that scores above zero is not a shell. """ - baseline = BENCHMARK_ROOT / "gaia" / "baseline" + baseline = BENCHMARK_ROOT / benchmark / "baseline" params = {"inner_env": "test"} seeded = load_harbor_build_config(baseline / "build.yaml", params=params) shell = load_harbor_build_config(baseline / "build.shell.yaml", params=params) @@ -249,7 +253,7 @@ def test_gaia_shell_variant_shares_the_measurement_substrate_and_stays_a_shell() for scope in ("evaluation", "finalization"): assert getattr(shell.inference_gateway, scope).allowed_models == getattr( seeded.inference_gateway, scope - ).allowed_models, f"{scope} scope drifted from the seeded gaia config" + ).allowed_models, f"{scope} scope drifted from the seeded {benchmark} config" assert not shell.task_services_use_upstream # What makes it the shell variant. @@ -260,7 +264,7 @@ def test_gaia_shell_variant_shares_the_measurement_substrate_and_stays_a_shell() template = Path(shell.instruction_template) assert template.is_file() assert seeded.instruction_template is None, ( - "the seeded gaia config should keep the built-in instruction" + "the seeded config should keep the built-in instruction" ) body = template.read_text(encoding="utf-8") assert '{% extends "instruction.md.j2" %}' in body, ( @@ -285,11 +289,65 @@ def test_gaia_shell_variant_shares_the_measurement_substrate_and_stays_a_shell() text = "\n".join(path.read_text(encoding="utf-8") for path in sources) for call in (".responses.create(", ".chat.completions.create(", ".messages.create("): assert call not in text, ( - f"the gaia shell seed calls {call} -- it is no longer a shell, and its " + f"the {benchmark} shell seed calls {call} -- it is no longer a shell, and its " f"baseline_reward of 0.0 is no longer true" ) +@pytest.mark.parametrize("benchmark", ["gaia", "terminal-bench"]) +def test_opencode_variant_shares_the_measurement_substrate_and_vendors_the_source(benchmark): + """build.opencode.yaml must differ from build.yaml only in its seed. + + The variant asks what an optimizer does with a full, mature harness as the + seed. As with the shell variant, that only means something if the cases, the + target model and the gateway scoping are the ones the seeded run used. The + second half checks the seed is what it claims: the opencode source is present + (a submodule that is not checked out compiles to a hollow baseline) and the + wrapper is a subclass of harbor's opencode runner rather than a reimplementation. + """ + baseline = BENCHMARK_ROOT / benchmark / "baseline" + params = {"inner_env": "test"} + seeded = load_harbor_build_config(baseline / "build.yaml", params=params) + variant = load_harbor_build_config(baseline / "build.opencode.yaml", params=params) + + assert variant.task_source == seeded.task_source + assert variant.agent_import_path == seeded.agent_import_path + assert variant.selection_partition == seeded.selection_partition + assert variant.model == seeded.model + for scope in ("evaluation", "finalization"): + assert getattr(variant.inference_gateway, scope).allowed_models == getattr( + seeded.inference_gateway, scope + ).allowed_models, f"{scope} scope drifted from the seeded {benchmark} config" + + # The agent runs inside the task container, which cannot reach the compose- + # internal gateway; the build must hand the container the public upstream. + assert variant.task_services_use_upstream, ( + "build.opencode.yaml must set task_services_use_upstream: an in-container " + "agent cannot reach the evaluation gateway" + ) + + agent_repo = Path(variant.agent_repo) + assert agent_repo.name == "target-opencode" + # The pin is what the repository guarantees: a gitlink at the vendored commit. + # Whether the tree is populated depends on the checkout (CI initialises it; + # a plain clone does not), so the file checks skip rather than fail there. + gitlink = subprocess.run( + ["git", "ls-files", "-s", "--", str(agent_repo / "opencode")], + cwd=agent_repo, capture_output=True, text=True, check=True, + ).stdout.split() + assert gitlink[:1] == ["160000"], "opencode must be registered as a git submodule" + assert gitlink[1] == OPENCODE_PIN, f"opencode submodule drifted from the pinned commit {OPENCODE_PIN}" + if not (agent_repo / "opencode" / "package.json").is_file(): + pytest.skip("vendored opencode source not checked out; run `git submodule update --init`") + assert (agent_repo / "opencode" / "packages" / "opencode" / "script" / "build.ts").is_file() + sources = "\n".join( + path.read_text(encoding="utf-8") for path in sorted((agent_repo / "src").rglob("*.py")) + ) + assert "from harbor.agents.installed.opencode import OpenCode" in sources, ( + "the wrapper must build on harbor's opencode runner so trajectories stay comparable" + ) + + def test_every_build_pins_every_optimizer_harness(): """A harness installed at trial start drifts unless the build names its release.""" harnesses = {"claude-code", "codex", "opencode", "kimi-cli", "goose", "mini-swe-agent"}