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Go library for driving AI coding CLIs in headless mode.

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harness

harness is a Go library for driving AI coding CLIs in headless mode. It supports Claude Code, Codex, GitHub Copilot CLI, and OpenCode through one interface while leaving process placement to the caller. A command can run on the host, inside a container, or through a remote runner with the same arguments and event parser.

Supported backends

Name Binary Credential environment Staged skill path Project instructions Model API hosts
claude claude ANTHROPIC_API_KEY, CLAUDE_CODE_OAUTH_TOKEN .claude/skills/<name> CLAUDE.md *.anthropic.com
codex codex CODEX_API_KEY skills/<name> AGENTS.md api.openai.com, auth0.openai.com, chatgpt.com
copilot copilot COPILOT_GITHUB_TOKEN, GH_TOKEN, GITHUB_TOKEN .github/skills/<name> .github/copilot-instructions.md github.com, api.github.com, api.mcp.github.com, *.githubcopilot.com
opencode opencode OPENAI_API_KEY, ANTHROPIC_API_KEY, OPENCODE_CONFIG_CONTENT, OPENCODE_AUTH_CONTENT .opencode/skill/<name> AGENTS.md models.dev, api.openai.com, *.anthropic.com

The Copilot adapter targets CLI 1.0.80 and remains compatible with the prompt-mode JSONL stream introduced in 1.0.75.

For Copilot BYOK runs, Job.BaseURL sets COPILOT_PROVIDER_BASE_URL and Harness.Env passes through the configured COPILOT_MODEL and COPILOT_PROVIDER_* credentials and wire settings as bare keys, so container and remote runners can inject their values without placing secrets in argv.

The library owns the details that differ between CLIs: binary names, arguments, credential and state environment variables, project instruction files, skill directories, model API hosts, JSONL parsing, account-limit errors, default models, and token prices.

Install

go get github.com/alpha-omega-security/harness

Go 1.26 or later is required.

Core API

A Job contains resolved values for one invocation. Callers apply their own configuration defaults before constructing it.

type Job struct {
    Workspace string
    SrcDir    string
    SkillName string

    Prompt       string
    SystemPrompt string

    Model    string
    Effort   string
    MaxTurns int

    OutputFile  string
    AllowedTools string
    BaseURL      string

    ResumeSessionID string
    ResumePrompt    string
}

Workspace is the command's working directory. SrcDir is the repository directory relative to it and defaults to src; set it to . when Workspace is already the repository root. SkillName selects a staged SKILL.md; when Prompt is empty, the backend builds a short activation prompt. SystemPrompt uses --system-prompt with Claude and the backend's project instruction file for the other CLIs.

MaxTurns uses the backend default when set to zero; Copilot maps it to maximum autopilot continuations. Effort applies to Claude and Copilot. AllowedTools applies only to Claude. ResumeSessionID and ResumePrompt continue an existing conversation.

The Harness interface exposes the parts needed by local, container, and remote runners:

type Harness interface {
    Binary() string
    Args(Job) []string
    Prompt(Job) string
    ParseStream(io.Reader, func(Event))
    SkillDir(workspace, name string) string
    GuideFilename() string
    SystemPromptViaArgs() bool
    EgressHosts() []string
    Env(baseURL string) []string
    StateEnv(dir string) []string
    AccountErrorText(string) string
    DefaultModels() []ModelDefault
}

Use ByName to select a backend. An empty name selects Claude.

h, err := harness.ByName("codex")
name := harness.Name(h)
available := harness.Names() // "claude, codex, copilot, opencode"

Each parser produces the same event type:

type Event struct {
    Kind      string
    Tool      string
    Text      string
    CostUSD   float64
    Turns     int
    Usage     Usage
    SessionID string
    RateLimit *RateLimitInfo
}

Kinds are thinking, text, tool, result, error, session, and rate_limit. FormatEvent renders an event for a plain-text log. CostFromUsage calculates a list-price estimate when the CLI reports tokens without a dollar amount. Copilot's CostUSD uses the latest cumulative session.usage_checkpoint when one is present, so on a resumed Copilot session the reported cost is session-cumulative rather than per-invocation.

Run a local subprocess

Run starts the selected binary in the workspace, applies its environment, writes a project instruction file when needed, and parses combined output as it arrives.

package main

import (
    "context"
    "fmt"
    "log"

    "github.com/alpha-omega-security/harness"
    "github.com/alpha-omega-security/harness/egress"
    "github.com/alpha-omega-security/harness/skills"
)

func main() {
    ctx := context.Background()
    workspace := "/work/project"

    h, err := harness.ByName("claude")
    if err != nil {
        log.Fatal(err)
    }
    instructions, err := skills.Parse("/work/instructions/review.md")
    if err != nil {
        log.Fatal(err)
    }

    job := harness.Job{
        Workspace:    workspace,
        SrcDir:       ".",
        Prompt:       "Review this project for security defects.",
        SystemPrompt: skills.Concat(instructions),
        Model:        "claude-sonnet-4-6",
        MaxTurns:     20,
    }

    if err := egress.WriteSandboxSettings(workspace, h.EgressHosts()); err != nil {
        log.Fatal(err)
    }
    err = harness.Run(ctx, h, job, func(event harness.Event) {
        fmt.Println(harness.FormatEvent(event))
    })
    if err != nil {
        log.Fatal(err)
    }
}

When a non-zero exit contains a provider account-limit message, Run returns an *harness.AccountError. Its optional reset time can be used to schedule a later retry.

Use another process runner

Callers that own process creation can use the same API without Run. This is useful for containers, job queues, and remote execution.

h, err := harness.ByName("codex")
if err != nil {
    return err
}
skill, err := skills.Parse("/skills/security-review/SKILL.md")
if err != nil {
    return err
}
job := harness.Job{
    Workspace:  "/work",
    SrcDir:     ".",
    SkillName:  skill.Name,
    Model:      "gpt-5.3-codex",
    OutputFile: "report.json",
}
if err := skills.Stage(h, job, skill); err != nil {
    return err
}
if err := harness.WriteSystemPrompt(h, job); err != nil {
    return err
}
argv := append([]string{h.Binary()}, h.Args(job)...)
env := append(h.Env(job.BaseURL), h.StateEnv("/state")...)

// Pass argv and env to the process runner. Entries such as "CODEX_API_KEY"
// use the `docker run -e KEY` passthrough form.
stdout, err := startContainer(ctx, argv, env)
if err != nil {
    return err
}
h.ParseStream(stdout, func(event harness.Event) {
    fmt.Println(harness.FormatEvent(event))
})

WriteSystemPrompt is needed only when SystemPrompt is non-empty. Backends whose SystemPromptViaArgs method returns true receive that value in their arguments, so the helper does not write a guide file.

Process isolation

The generated arguments allow unattended tool use. Claude uses bypassPermissions unless AllowedTools is set. Codex uses danger-full-access, OpenCode uses --auto, and Copilot uses --allow-all. Run these commands only in a workspace and execution environment where those permissions are acceptable. Container and remote callers should apply their own filesystem, process, secret, and network limits.

The egress package can restrict outbound HTTP and HTTPS by hostname. Its proxy checks the resolved destination immediately before connecting and rejects loopback, private, link-local, carrier-grade NAT, unspecified, and multicast addresses. This closes the usual DNS rebinding path after a hostname has passed the allowlist.

Packages

skills parses SKILL.md files following the Agent Skills specification. YAML frontmatter is optional, so plain markdown instruction files parse too. Parse returns a Skill with the spec fields (name, description, license, compatibility, allowed-tools, metadata), the body, a sibling schema.json when present, and a content hash covering both. Walk finds skills under a directory; Stage writes one into the selected backend's discovery directory; Concat joins bodies for a system prompt; Render produces SKILL.md bytes from a Skill built in memory. ValidateNamespace and the Match/PathIncluded glob helpers support callers that add their own metadata keys and path filters.

container runs a backend inside an ephemeral OCI container. Runner.Run mirrors harness.Run's signature; the workspace is bind-mounted at /work and an optional state directory at /harness-state so a later run can resume the session. DetectRuntime resolves docker, podman (rootful or rootless), or Apple's container CLI and applies each engine's flag differences (--userns=keep-id, --progress none, missing --security-opt). SELinux :z bind-mount relabeling is handled via ResolveSELinuxRelabel, and VerifyKeepID / VerifySELinuxMount report host misconfiguration once during startup. Runner.Hardened creates an internal network. Runner.Run owns that network for one backend invocation. Call Runner.Open when readiness checks or retries must share it; the returned Scope runs backends with Run, auxiliary commands with RunCommand, and removes its resources with Close. Runner.ProcessEnv supplies scoped values for bare Runner.Env keys without exposing them in the container-runtime argv, while Runner.OmitEnv removes inherited backend credentials that a caller replaces. Rootless podman gets a harness-proxy sidecar on that network, restricted to Harness.EgressHosts() and any extra hosts in Runner.Sidecar; Docker Desktop uses the same sidecar because an internal network cannot reach its host proxy. Other runtimes use Runner.ProxyURL through the network gateway. Runner images used for this path need curl and the cmd/harness-proxy binary. Call SweepHardened during startup to remove networks and sidecars left by an interrupted process. Sidecar images must be rebuilt when Harness changes its proxy policy; stale images fail closed.

egress contains the authenticated allowlist proxy and WriteSandboxSettings, which writes Claude's .claude/settings.json domain allowlist. APIPort permits inspected HTTP only. CONNECT to it is refused even when the port is also listed in HostPorts; use HostPorts for separate TLS or raw TCP services.

llm sends a single schema-constrained request to the Anthropic Messages API. It accepts a caller-owned HTTP client and permits plain HTTP only for local development endpoints.

License

MIT

About

Go library for driving AI coding CLIs in headless mode.

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