Add a local uv quickstart with pinned Verifiers v1

Pin Python 3.13 and Verifiers v1, lock dependencies, and provide an eval.toml that runs one task locally with only task tools. Document the short run command and endpoint configuration.

.python-version

@@ -0,0 +1 @@
+3.13

README.md

@@ -6,20 +6,35 @@ tags:
 
 # general-agent
 
-Requires `verifiers[harbor]>=0.3.1`.
-
 Multi-turn tool-use tasks from the self-growing general-agent toolbench, where each task ships its own tool world and a gold tool-call chain. Tasks are scored by replaying the gold chain and rewarding an exact final database-hash match or a passing `verify(db)` check.
 
-## Taskset
+## Run a model
+
+Install [uv](https://docs.astral.sh/uv/getting-started/installation/) and Git, and serve a tool-calling model at `http://localhost:8000/v1`. Replace `local-model` with the served model ID:
+
+```sh
+git clone https://huggingface.co/datasets/PrimeIntellect/general-agent
+cd general-agent
+uv run vf-eval @ eval.toml --model local-model
+```
 
-- **Source:** [`general-agent` corpus](https://github.com/PrimeIntellect-ai/prime-envs) downloaded via the Harbor CLI (not vendored)
-- **Size:** 4,417 tasks
+`uv` installs Python 3.13 and the pinned Verifiers v1 dependencies. The task corpus downloads automatically on first use and is cached under `~/.cache/harbor/`.
 
-## Notes
+The supplied `eval.toml` runs one task once. The model receives only the task's tools, with no shell. The harness and tool server run locally; Docker and a Prime account are not required. Results are saved under `outputs/` and are not uploaded.
 
-- The corpus is downloaded on first use (cached under `~/.cache/harbor/`) via the Harbor CLI, resolved through the legacy Harbor registry in `PrimeIntellect-ai/prime-envs`. Needs read access to those repos; point `--env.taskset.repo` / `--env.taskset.dataset` at a branch or pin for local or PR-branch validation.
+If your model endpoint requires authentication, set `LOCAL_MODEL_API_KEY`. To use another endpoint, add `--client.base-url https://your-endpoint/v1` or edit `eval.toml`.
 
-## Changelog
+Run more tasks with `-n` and set concurrency with `-c`:
+
+```sh
+uv run vf-eval @ eval.toml --model local-model -n 20 -c 4
+```
+
+Select a task or family with `--env.taskset.tasks '["3d_print_shop_t0"]'`. Add `--dry-run` to check the configuration without calling the model.
+
+## Taskset
 
-- 2026-07-31: Migrated each task's dynamic tool server to the explicit `toolsets(config)` API required by `verifiers>=0.2.2.dev65`.
-- 2026-07-10: Ported to the task-centric verifiers API: rewards and lifecycle hooks live on the `Task` (a `TaskData` row + behavior split), and task-facing config knobs (judges, tool/user placement, scoring parameters) moved from `--env.taskset.*` to `--env.taskset.task.*`. Requires `verifiers>=0.2.0` and Python `>=3.11`.
+- **Size:** 4,417 tasks.
+- **Corpus:** [`general-agent@2026-06-25`](https://github.com/PrimeIntellect-ai/prime-tasks/tree/257b6781f9f4017e179eb81fbd940414b4f16fdf/datasets/general-agent), downloaded through the Harbor registry in `PrimeIntellect-ai/prime-envs`.
+- **Code:** [PrimeIntellect-ai/prime-envs](https://github.com/PrimeIntellect-ai/prime-envs/tree/5732a4bbb7e454716608b5f8af51ec890892350f/environments/tool_use/general_agent).
+- **Verifiers:** [pinned v1 revision](https://github.com/PrimeIntellect-ai/verifiers/tree/f2382d3c285ecb85578caf2948f24d0eeed84561), installed through `uv` using `pyproject.toml` and `uv.lock`.

eval.toml

@@ -0,0 +1,18 @@
+model = "local-model"
+num_rollouts = 1
+max_concurrent = 1
+push = false
+
+[select]
+limit = 1
+
+[client]
+base_url = "http://localhost:8000/v1"
+api_key_var = "LOCAL_MODEL_API_KEY"
+
+[env.taskset]
+id = "general-agent"
+
+[env.agent]
+runtime = { type = "subprocess" }
+harness = { id = "null" }

pyproject.toml

@@ -14,3 +14,6 @@ build-backend = "hatchling.build"
 
 [tool.hatch.build.targets.wheel]
 packages = ["general_agent"]
+
+[tool.uv.sources]
+verifiers = { git = "https://github.com/PrimeIntellect-ai/verifiers", rev = "f2382d3c285ecb85578caf2948f24d0eeed84561" }