mirror of
https://github.com/zed-industries/zed.git
synced 2026-06-01 03:14:56 +07:00
Cleans up build setup and simplifies it a bunch so that we can use the binary in more eval docker containers Release Notes: - N/A
331 lines
12 KiB
Python
331 lines
12 KiB
Python
"""Harbor agent wrapper for Zed's eval-cli binary.
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Usage:
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# Build eval-cli locally first:
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cargo build --release -p eval_cli
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# Run via Harbor with a local binary:
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harbor run -d "dataset@version" \
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--agent-import-path zed_eval.agent:ZedAgent \
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--ae binary_path=/path/to/target/release/eval-cli \
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--agent-model anthropic/claude-sonnet-4-6-latest
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# Or with a download URL (for CI):
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harbor run -d "dataset@version" \
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--agent-import-path zed_eval.agent:ZedAgent \
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--ae download_url=https://example.com/eval-cli \
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--agent-model anthropic/claude-sonnet-4-6-latest
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"""
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import json
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import os
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import shlex
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from pathlib import Path
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from harbor.agents.installed.base import BaseInstalledAgent, with_prompt_template
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from harbor.environments.base import BaseEnvironment
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from harbor.models.agent.context import AgentContext
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class ZedAgent(BaseInstalledAgent):
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"""Runs Zed's headless AI agent (eval-cli) to solve tasks.
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The eval-cli binary boots a headless GPUI application and uses the same
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NativeAgent + AcpThread pipeline as the production Zed editor, driving
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the full agentic loop (tool calls, subagents, retries) without a GUI.
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"""
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def __init__(
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self,
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logs_dir: Path,
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binary_path: str | None = None,
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download_url: str | None = None,
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*args,
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**kwargs,
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):
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super().__init__(logs_dir, *args, **kwargs)
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self._binary_path = binary_path
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self._download_url = download_url or os.environ.get("EVAL_CLI_DOWNLOAD_URL")
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@staticmethod
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def name() -> str:
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return "zed"
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async def _detect_workdir(self, environment: BaseEnvironment) -> str:
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"""Detect the repo working directory inside the container.
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Checks, in order:
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1. Explicit ``EVAL_CLI_WORKDIR`` extra-env override
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2. ``/app`` (SWE-bench Pro)
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3. ``/testbed`` (SWE-bench Verified)
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4. ``/repo``
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5. First git repo found under ``/`` (max depth 3)
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"""
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override = self._extra_env.get("EVAL_CLI_WORKDIR")
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if override:
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return override
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result = await self.exec_as_agent(
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environment,
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command=(
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"for d in /app /testbed /repo; do "
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' if [ -d "$d/.git" ]; then echo "$d"; exit 0; fi; '
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"done; "
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"find / -maxdepth 3 -name .git -type d 2>/dev/null "
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'| head -1 | sed "s|/.git$||"'
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),
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)
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workdir = result.stdout.strip()
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if not workdir:
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raise RuntimeError(
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"Could not find a git repository in the container. "
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"Set EVAL_CLI_WORKDIR explicitly via --ae EVAL_CLI_WORKDIR=/path/to/repo"
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)
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return workdir
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async def install(self, environment: BaseEnvironment) -> None:
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await self.exec_as_root(
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environment,
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command=(
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"apt-get update && "
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"apt-get install -y --no-install-recommends "
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"ca-certificates "
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"curl "
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"git"
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),
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env={"DEBIAN_FRONTEND": "noninteractive"},
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)
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await self.exec_as_root(
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environment,
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command=(
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"curl -fsSL https://deb.nodesource.com/setup_22.x | bash - && "
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"apt-get install -y --no-install-recommends nodejs"
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),
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env={"DEBIAN_FRONTEND": "noninteractive"},
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)
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# Pre-install default LSPs so Zed doesn't have to download them at
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# runtime. Each gets its own subdirectory under $ZED_DATA_DIR/languages.
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await self.exec_as_agent(
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environment,
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command=(
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"set -euo pipefail; "
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'ZED_DATA_DIR="${XDG_DATA_HOME:-$HOME/.local/share}/zed"; '
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# basedpyright (Python - default type checker)
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'BASEDPYRIGHT_DIR="$ZED_DATA_DIR/languages/basedpyright"; '
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'mkdir -p "$BASEDPYRIGHT_DIR"; '
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'npm install --prefix "$BASEDPYRIGHT_DIR" --save-exact basedpyright; '
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# typescript-language-server (TypeScript/JS - default LSP)
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'TSSERVER_DIR="$ZED_DATA_DIR/languages/typescript-language-server"; '
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'mkdir -p "$TSSERVER_DIR"; '
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'npm install --prefix "$TSSERVER_DIR" --save-exact typescript typescript-language-server; '
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# vtsls (VS Code TypeScript language features)
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'VTSLS_DIR="$ZED_DATA_DIR/languages/vtsls"; '
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'mkdir -p "$VTSLS_DIR"; '
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'npm install --prefix "$VTSLS_DIR" --save-exact @vtsls/language-server typescript; '
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# tailwindcss-language-server
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'TAILWIND_DIR="$ZED_DATA_DIR/languages/tailwindcss-language-server"; '
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'mkdir -p "$TAILWIND_DIR"; '
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'npm install --prefix "$TAILWIND_DIR" --save-exact @tailwindcss/language-server'
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),
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)
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# eslint LSP (downloaded from zed-industries/vscode-eslint GitHub release,
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# then compiled — this mirrors what Zed does at runtime).
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await self.exec_as_agent(
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environment,
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command=(
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"set -euo pipefail; "
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'ZED_DATA_DIR="${XDG_DATA_HOME:-$HOME/.local/share}/zed"; '
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'ESLINT_DIR="$ZED_DATA_DIR/languages/eslint/vscode-eslint-2.4.4"; '
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'mkdir -p "$ESLINT_DIR"; '
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'curl -fsSL "https://github.com/zed-industries/vscode-eslint/archive/refs/tags/release/2.4.4.tar.gz" '
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'| tar -xz -C "$ESLINT_DIR"; '
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'mv "$ESLINT_DIR"/vscode-eslint-release-2.4.4 "$ESLINT_DIR/vscode-eslint"; '
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'cd "$ESLINT_DIR/vscode-eslint" && npm install && npm run compile'
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),
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)
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# gopls (Go - default LSP). Only install when Go is present in the
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# container (i.e. Go-related SWE-bench tasks).
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await self.exec_as_agent(
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environment,
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command=(
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"if command -v go >/dev/null 2>&1; then "
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"go install golang.org/x/tools/gopls@latest; "
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"fi"
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),
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)
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await self.exec_as_agent(
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environment,
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command=(
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"curl -LsSf https://astral.sh/uv/install.sh | sh && "
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'. "$HOME/.local/bin/env"'
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),
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)
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agent_home_result = await self.exec_as_agent(
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environment,
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command='printf %s "$HOME"',
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)
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agent_home = agent_home_result.stdout.strip()
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if not agent_home:
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raise RuntimeError("Could not determine agent home directory")
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await self.exec_as_root(
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environment,
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command=(
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f"ln -sf {shlex.quote(agent_home + '/.local/bin/uv')} /usr/local/bin/uv && "
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f"ln -sf {shlex.quote(agent_home + '/.local/bin/uvx')} /usr/local/bin/uvx"
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),
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)
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# Install a modern ruff so `ruff server` works without --preview.
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# This also makes it available as a CLI tool for the agent.
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await self.exec_as_agent(
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environment,
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command=('export PATH="$HOME/.local/bin:$PATH" && uv tool install ruff'),
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)
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if self._binary_path:
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binary = Path(self._binary_path)
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if not binary.exists():
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raise FileNotFoundError(
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f"eval-cli binary not found at {binary}. "
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"Build it with: cargo build --release -p eval_cli"
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)
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await environment.upload_file(
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source_path=binary,
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target_path="/usr/local/bin/eval-cli",
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)
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await self.exec_as_root(
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environment,
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command="chmod +x /usr/local/bin/eval-cli && eval-cli --help",
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)
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return
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if self._download_url:
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await self.exec_as_root(
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environment,
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command=(
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f"curl -fsSL {shlex.quote(self._download_url)} "
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"-o /usr/local/bin/eval-cli && "
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"chmod +x /usr/local/bin/eval-cli && "
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"eval-cli --help"
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),
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)
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return
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raise ValueError(
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"No eval-cli binary provided. "
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"Either pass binary_path=/path/to/target/release/eval-cli "
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"or set download_url=/EVAL_CLI_DOWNLOAD_URL."
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)
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def populate_context_post_run(self, context: AgentContext) -> None:
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result_data = None
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for json_file in self.logs_dir.rglob("result.json"):
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try:
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result_data = json.loads(json_file.read_text())
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break
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except (json.JSONDecodeError, OSError):
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continue
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if result_data is None:
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self.logger.warning("Could not find or parse result.json from eval-cli")
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return
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if result_data.get("input_tokens") is not None:
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context.n_input_tokens = result_data["input_tokens"]
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if result_data.get("output_tokens") is not None:
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context.n_output_tokens = result_data["output_tokens"]
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if result_data.get("cache_read_input_tokens") is not None:
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context.n_cache_tokens = result_data["cache_read_input_tokens"]
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context.metadata = {
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"status": result_data.get("status"),
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"duration_secs": result_data.get("duration_secs"),
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"model": result_data.get("model"),
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}
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def _get_api_env(self) -> dict[str, str]:
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env: dict[str, str] = {}
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if not self.model_name or "/" not in self.model_name:
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return env
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provider = self.model_name.split("/", 1)[0]
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provider_env_map = {
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"anthropic": "ANTHROPIC_API_KEY",
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"openai": "OPENAI_API_KEY",
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"google": "GEMINI_API_KEY",
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"gemini": "GEMINI_API_KEY",
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"deepseek": "DEEPSEEK_API_KEY",
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"mistral": "MISTRAL_API_KEY",
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}
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env_var = provider_env_map.get(provider)
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if env_var:
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api_key = os.environ.get(env_var, "")
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if api_key:
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env[env_var] = api_key
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return env
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@with_prompt_template
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async def run(
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self, instruction: str, environment: BaseEnvironment, context: AgentContext
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) -> None:
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escaped_instruction = shlex.quote(instruction)
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env = self._get_api_env()
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workdir = await self._detect_workdir(environment)
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parts = [
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"eval-cli",
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f"--workdir {shlex.quote(workdir)}",
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"--output-dir /logs/agent",
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]
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if self.model_name:
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parts.append(f"--model {shlex.quote(self.model_name)}")
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timeout = self._extra_env.get("EVAL_CLI_TIMEOUT")
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if timeout:
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parts.append(f"--timeout {shlex.quote(timeout)}")
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staff = self._extra_env.get("EVAL_CLI_STAFF")
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if staff and staff.lower() == "false":
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parts.append("--no-staff")
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reasoning_effort = self._extra_env.get("EVAL_CLI_REASONING_EFFORT")
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if reasoning_effort:
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parts.append(f"--reasoning-effort {shlex.quote(reasoning_effort)}")
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enable_thinking = self._extra_env.get("EVAL_CLI_ENABLE_THINKING")
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if enable_thinking:
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if enable_thinking.lower() == "true":
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parts.append("--enable-thinking")
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elif enable_thinking.lower() == "false":
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parts.append("--disable-thinking")
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parts.append(f"--instruction {escaped_instruction}")
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await self.exec_as_agent(
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environment,
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command=(
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" ".join(parts) + " 2>&1 | stdbuf -oL tee /logs/agent/eval-cli.txt"
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),
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env=env,
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)
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await self.exec_as_agent(
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environment,
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command=(
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"git add -A && "
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"git diff --cached HEAD > /logs/agent/patch.diff && "
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'echo "Patch size: $(wc -c < /logs/agent/patch.diff) bytes"'
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),
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cwd=workdir,
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)
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