> ## Documentation Index > Fetch the complete documentation index at: https://docs.deeda.com/llms.txt > Use this file to discover all available pages before exploring further. # Runtimes > All 10 runtimes: methods, knobs, requirements, and a starter workflow for each. Every runtime is `available`. Select one in workflow frontmatter with `runtime_key` + `method`. Use [Choosing a method](/harness/cookbook#choosing-a-method) to decide between `api`, `sdk`, and `cli` routes, and the [Workflow Schema](/harness/workflow-schema) for every field you can set. | Runtime key | Category | Methods | Recommended model | Needs API key | | --------------------------------------------------- | -------- | ------------------------- | ------------------ | ------------- | | [`anthropic-agent-sdk`](#anthropic-agent-sdk) | agent | `sdk`, `cli` | `claude-opus-4-7` | yes | | [`gemini-antigravity-cli`](#gemini-antigravity-cli) | agent | `cli`, `sdk` | `gemini-3.5-flash` | yes | | [`gemini-genai-sdk`](#gemini-genai-sdk) | chat | `sdk` | `gemini-2.5-pro` | yes | | [`local-llm`](#local-llm) | chat | `api` | `gemma-4-e2b` | yes | | [`local-voice`](#local-voice) | voice | — (desktop/voice surface) | `gemma-4-e2b` | yes | | [`openai-agents-sdk`](#openai-agents-sdk) | agent | `sdk` | `gpt-5.5` | yes | | [`openai-codex-sdk`](#openai-codex-sdk) | agent | `cli` | `gpt-5.5` | yes | | [`openai-operator`](#openai-operator) | agent | `api` | `gpt-5.5` | yes | | [`openai-realtime-api`](#openai-realtime-api) | voice | `api` | `gpt-realtime-2` | yes | | [`openai-responses-api`](#openai-responses-api) | chat | `api` | `gpt-5.5` | yes | ## anthropic-agent-sdk **Anthropic Agent SDK** — Anthropic Claude Agent SDK / Claude Code **When to use:** Use when you want Claude Code style coding and shell-native agent behavior with Anthropic models. **Capability flags:** `canParseVerdicts`, `canReview`, `supportsAdaptiveThinking`, `supportsBatchApi`, `supportsBuiltinCodeExec`, `supportsBuiltinSearch`, `supportsCacheControl`, `supportsCitations`, `supportsCloudTTS`, `supportsCodeInterpreter`, `supportsComputerUse`, `supportsContext1M`, `supportsDeveloperRole`, `supportsDocumentInput`, `supportsFileInput`, `supportsImageInput`, `supportsLocalRealtimeVoice`, `supportsLocalSTT`, `supportsLocalTTS`, `supportsMultiTurn`, `supportsReasoningEffort`, `supportsServiceTier`, `supportsSessionResume`, `supportsStreaming`, `supportsStructuredOutput`, `supportsThinkingBudget`, `supportsToolCalling`, `supportsWebSearch` **Knobs** (set under `harness_config.sdk_settings.anthropic`): | Knob | Type | What it does | | ------------------------ | ------ | --------------------------- | | `thinking_type` | enum | Anthropic thinking mode. | | `thinking_budget_tokens` | number | Extended thinking budget. | | `max_turns` | number | Maximum Claude agent turns. | | `permission_mode` | enum | Claude tool approval mode. | **Starter workflow** (copy, then extend with [snippets](/harness/snippets)): ```yaml theme={null} --- id: starter-anthropic-agent-sdk version: 1.0.0 agent: runtime_key: anthropic-agent-sdk provider: anthropic model: claude-opus-4-7 role: worker task_template: "Run {{workflow_id}} for {{issue_ref}}." max_turns: 8 routing_strategy: single_agent_routine single_agent: select: fixed candidates: - runtime_key: anthropic-agent-sdk method: sdk budget: tokens: 60000 wall_clock_minutes: 30 sandbox: workspace_write: true tools: required: - fs.read - fs.write --- # Starter: Anthropic Agent SDK Plan, implement, verify; record evidence before finishing. ``` ## gemini-antigravity-cli **Google Antigravity 2.0 CLI** — Google Antigravity CLI/SDK bridge **When to use:** Use for Google Antigravity 2.0 (I/O 2026-05-19) — local agentic coding loop via the `agy` CLI + `google-antigravity` Python SDK. 11 BuiltinTools (list\_directory/search\_directory/find\_file/view\_file/create\_file/edit\_file/run\_command/ask\_question/start\_subagent/generate\_image/finish), lifecycle Hook classes (runtime-enumerated; the SDK self-updates), 7-primitive policy DSL (allow/deny/ask\_user/allow\_all/deny\_all/safe\_defaults/workspace\_only), MCP transports resolved from the installed SDK (stdio + streamable-http today; the vendor folded SSE reads into streamable-http), file-change + interval triggers, multimodal input (Image/Document/Audio/Video). Pairs with raw Gemini API/SDK in tandem. **Capability flags:** `canParseVerdicts`, `canReview`, `supportsBuiltinCodeExec`, `supportsBuiltinSearch`, `supportsCloudTTS`, `supportsDocumentInput`, `supportsFileInput`, `supportsImageInput`, `supportsLocalRealtimeVoice`, `supportsLocalSTT`, `supportsLocalTTS`, `supportsMultiTurn`, `supportsStreaming`, `supportsStructuredOutput`, `supportsThinkingBudget`, `supportsThinkingLevel`, `supportsToolCalling`, `supportsVideoInput`, `supportsWebSearch` **Knobs** (set under `harness_config.sdk_settings.gemini`): | Knob | Type | What it does | | ---------------------------------- | --------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | `antigravity_model` | enum | SDK default "gemini-3.5-flash" (types.py:79). Other documented: "gemini-3.1-pro-preview" (types.py:125), image model "gemini-3.1-flash-image-preview" (types.py:80). | | `antigravity_thinking_level` | enum | ThinkingLevel: MINIMAL \| LOW \| MEDIUM \| HIGH (types.py:83). | | `antigravity_enable_subagents` | boolean | CapabilitiesConfig.enable\_subagents — allow start\_subagent tool. | | `antigravity_enabled_tools` | string\[] | BuiltinTools allowlist (mutually exclusive with disabled\_tools). | | `antigravity_disabled_tools` | string\[] | BuiltinTools denylist (mutually exclusive with enabled\_tools). | | `antigravity_compaction_threshold` | number | Token count after which context window may be compacted. | | `antigravity_image_model` | string | CapabilitiesConfig.image\_model (default gemini-3.1-flash-image-preview). | | `antigravity_finish_schema_json` | string | JSON schema for the finish tool — drives structured\_output(). | | `antigravity_workspaces` | string\[] | Workspace directories — file tools auto-restricted via policy.workspace\_only(). | | `antigravity_mcp_servers` | json | McpServerConfig union — transport discriminators resolved from the installed SDK (stdio + streamable-http today; the historic McpSseServer was removed by the vendor). | | `antigravity_vertex` | boolean | GeminiConfig(vertex=True) — Vertex AI backend via GCP ADC. | | `antigravity_sandbox` | boolean | `agy --sandbox` flag — terminal-restricted sandbox. | | `antigravity_add_dir` | string\[] | `agy --add-dir` (repeatable) workspace directories. | | `antigravity_print_timeout` | string | `agy --print-timeout` (default 5m0s). | | `antigravity_log_file` | string | `agy --log-file` override path. | | `antigravity_continue` | boolean | `agy --continue`/`-c` resume the most recent conversation. | | `antigravity_conversation_id` | string | `agy --conversation <id>` resume specific past conversation. | **Starter workflow** (copy, then extend with [snippets](/harness/snippets)): ```yaml theme={null} --- id: starter-gemini-antigravity-cli version: 1.0.0 agent: runtime_key: gemini-antigravity-cli provider: gemini model: gemini-3.5-flash role: worker task_template: "Run {{workflow_id}} for {{issue_ref}}." max_turns: 8 routing_strategy: single_agent_routine single_agent: select: fixed candidates: - runtime_key: gemini-antigravity-cli method: cli budget: tokens: 60000 wall_clock_minutes: 30 sandbox: workspace_write: true tools: required: - fs.read - fs.write --- # Starter: Google Antigravity 2.0 CLI Plan, implement, verify; record evidence before finishing. ``` ## gemini-genai-sdk **Gemini GenAI SDK** — Google GenAI SDK **When to use:** Use when you want Gemini native streaming, Google Search, code execution, or Vertex AI-backed deployment. **Capability flags:** `canParseVerdicts`, `canReview`, `supportsAudioInput`, `supportsBuiltinCodeExec`, `supportsBuiltinSearch`, `supportsCloudTTS`, `supportsDocumentInput`, `supportsFileInput`, `supportsImageInput`, `supportsLocalRealtimeVoice`, `supportsLocalSTT`, `supportsLocalTTS`, `supportsMultiTurn`, `supportsStreaming`, `supportsStructuredOutput`, `supportsThinkingBudget`, `supportsThinkingLevel`, `supportsToolCalling`, `supportsVideoInput`, `supportsWebSearch` **Knobs** (set under `harness_config.sdk_settings.gemini`): | Knob | Type | What it does | | ----------------------- | ------- | ---------------------------------------- | | `gemini_google_search` | boolean | Enable built-in Google Search grounding. | | `gemini_code_execution` | boolean | Enable Gemini code execution. | | `gemini_use_vertex_ai` | boolean | Switch auth/transport to Vertex AI. | | `gemini_gcp_project` | string | Vertex AI GCP project. | | `gemini_gcp_location` | string | Vertex AI region. | **Starter workflow** (copy, then extend with [snippets](/harness/snippets)): ```yaml theme={null} --- id: starter-gemini-genai-sdk version: 1.0.0 agent: runtime_key: gemini-genai-sdk provider: gemini model: gemini-2.5-pro role: worker task_template: "Run {{workflow_id}} for {{issue_ref}}." max_turns: 8 routing_strategy: single_agent_routine single_agent: select: fixed candidates: - runtime_key: gemini-genai-sdk method: sdk budget: tokens: 60000 wall_clock_minutes: 30 sandbox: workspace_write: true tools: required: - fs.read - fs.write --- # Starter: Gemini GenAI SDK Plan, implement, verify; record evidence before finishing. ``` ## local-llm **Local LLM** — Local OpenAI-compatible LLM runtime **When to use:** Use for managed llama.cpp or a catalog-backed local endpoint covering the V1 local universe: llama.cpp, Ollama, MLX, and LocalAI. Sprint 07 signoff is llama.cpp only. **Capability flags:** `canParseVerdicts`, `canReview`, `supportsCloudTTS`, `supportsImageInput`, `supportsLocalRealtimeVoice`, `supportsLocalSTT`, `supportsLocalTTS`, `supportsMultiTurn`, `supportsStreaming`, `supportsStructuredOutput`, `supportsToolCalling` **Knobs** (set under `harness_config.sdk_settings.local`): | Knob | Type | What it does | | -------------------- | ------ | --------------------------------------- | | `temperature` | number | Sampling temperature. | | `max_tokens` | number | Maximum generation length. | | `LOCAL_LLM_BASE_URL` | string | Catalog-backed local loopback base URL. | **Starter workflow** (copy, then extend with [snippets](/harness/snippets)): ```yaml theme={null} --- id: starter-local-llm version: 1.0.0 agent: runtime_key: local-llm provider: local model: gemma-4-e2b role: worker task_template: "Run {{workflow_id}} for {{issue_ref}}." max_turns: 8 routing_strategy: single_agent_routine single_agent: select: fixed candidates: - runtime_key: local-llm method: api budget: tokens: 60000 wall_clock_minutes: 30 sandbox: workspace_write: true tools: required: - fs.read - fs.write --- # Starter: Local LLM Plan, implement, verify; record evidence before finishing. ``` ## local-voice **Local Voice** — Desktop voice shell **When to use:** Use when you want local STT plus a provider-agnostic voice shell that can drive any text runtime. **Capability flags:** `canParseVerdicts`, `canReview`, `supportsAudioInput`, `supportsAudioOutput`, `supportsCloudTTS`, `supportsImageInput`, `supportsLocalRealtimeVoice`, `supportsLocalSTT`, `supportsLocalTTS`, `supportsMultiTurn`, `supportsRealtimeVoice`, `supportsStreaming`, `supportsStructuredOutput`, `supportsToolCalling` **Knobs** (set under `harness_config.sdk_settings.local`): | Knob | Type | What it does | | -------------------- | ------ | --------------------------- | | `voice_stt_backend` | enum | Speech-to-text backend. | | `voice_tts_backend` | enum | Text-to-speech backend. | | `voice_tts_voice_id` | string | Preferred voice identifier. | *No turn-dispatch method: this runtime is used through desktop/voice surfaces, not workflow `method` selection.* ## openai-agents-sdk **OpenAI Agents SDK** — OpenAI Agents SDK **When to use:** Use when you need declarative agents, hosted tools, typed handoffs, and guardrails in the OpenAI Agents SDK. **Capability flags:** `canParseVerdicts`, `canReview`, `supportsAudioInput`, `supportsAudioOutput`, `supportsBatchApi`, `supportsBuiltinCodeExec`, `supportsBuiltinSearch`, `supportsCloudTTS`, `supportsCodeInterpreter`, `supportsCodexSandboxMode`, `supportsCodexThreadResume`, `supportsComputerUse`, `supportsCustomTools`, `supportsDeveloperRole`, `supportsDocumentInput`, `supportsFileInput`, `supportsHostedConnectors`, `supportsHostedContainer`, `supportsHostedConversations`, `supportsHostedFileSearch`, `supportsHostedMcp`, `supportsHostedSkills`, `supportsImageGeneration`, `supportsImageInput`, `supportsLocalRealtimeVoice`, `supportsLocalSTT`, `supportsLocalTTS`, `supportsMultiTurn`, `supportsPromptCacheKey`, `supportsPromptTemplate`, `supportsReasoningEffort`, `supportsServerAgentLoop`, `supportsServerCompaction`, `supportsServiceTier`, `supportsStreaming`, `supportsStructuredOutput`, `supportsToolCalling`, `supportsWebSearch` **Knobs** (set under `harness_config.sdk_settings.openai`): | Knob | Type | What it does | | --------------------- | ------ | -------------------------------------- | | `max_tokens` | number | Maximum response tokens. | | `reasoning_effort` | enum | Reasoning effort for supported models. | | `openai_tool_profile` | enum | Hosted tool set selection. | **Starter workflow** (copy, then extend with [snippets](/harness/snippets)): ```yaml theme={null} --- id: starter-openai-agents-sdk version: 1.0.0 agent: runtime_key: openai-agents-sdk provider: openai model: gpt-5.5 role: worker task_template: "Run {{workflow_id}} for {{issue_ref}}." max_turns: 8 routing_strategy: single_agent_routine single_agent: select: fixed candidates: - runtime_key: openai-agents-sdk method: sdk budget: tokens: 60000 wall_clock_minutes: 30 sandbox: workspace_write: true tools: required: - fs.read - fs.write --- # Starter: OpenAI Agents SDK Plan, implement, verify; record evidence before finishing. ``` ## openai-codex-sdk **OpenAI Codex SDK** — OpenAI Codex CLI/SDK bridge **When to use:** Use when you want Codex CLI autonomy, workspace-aware edits, and approval-driven coding loops. **Capability flags:** `canParseVerdicts`, `canReview`, `supportsAudioInput`, `supportsAudioOutput`, `supportsBatchApi`, `supportsBuiltinCodeExec`, `supportsBuiltinSearch`, `supportsCloudTTS`, `supportsCodeInterpreter`, `supportsCodexSandboxMode`, `supportsCodexThreadResume`, `supportsComputerUse`, `supportsCustomTools`, `supportsDeveloperRole`, `supportsDocumentInput`, `supportsFileInput`, `supportsHostedContainer`, `supportsHostedSkills`, `supportsImageGeneration`, `supportsImageInput`, `supportsLocalRealtimeVoice`, `supportsLocalSTT`, `supportsLocalTTS`, `supportsMultiTurn`, `supportsPromptCacheKey`, `supportsPromptTemplate`, `supportsReasoningEffort`, `supportsServerAgentLoop`, `supportsServerCompaction`, `supportsServiceTier`, `supportsStreaming`, `supportsStructuredOutput`, `supportsToolCalling`, `supportsWebSearch` **Knobs** (set under `harness_config.sdk_settings.openai`): | Knob | Type | What it does | | ----------------------- | ---- | ----------------------------------------- | | `reasoning_effort` | enum | Reasoning effort passed through to Codex. | | `codex_sandbox_mode` | enum | Filesystem sandbox mode. | | `codex_approval_policy` | enum | CLI approval policy. | | `codex_config_json` | json | Raw Codex TOML/CLI config overrides. | **Starter workflow** (copy, then extend with [snippets](/harness/snippets)): ```yaml theme={null} --- id: starter-openai-codex-sdk version: 1.0.0 agent: runtime_key: openai-codex-sdk provider: openai model: gpt-5.5 role: worker task_template: "Run {{workflow_id}} for {{issue_ref}}." max_turns: 8 routing_strategy: single_agent_routine single_agent: select: fixed candidates: - runtime_key: openai-codex-sdk method: cli budget: tokens: 60000 wall_clock_minutes: 30 sandbox: workspace_write: true tools: required: - fs.read - fs.write --- # Starter: OpenAI Codex SDK Plan, implement, verify; record evidence before finishing. ``` ## openai-operator **OpenAI Operator** — OpenAI computer-use/operator path **When to use:** Use when you need computer-use style browser automation, screenshots, and hosted connectors through OpenAI tool primitives. **Capability flags:** `canParseVerdicts`, `canReview`, `supportsAudioInput`, `supportsAudioOutput`, `supportsAudioStreaming`, `supportsBatchApi`, `supportsBuiltinCodeExec`, `supportsBuiltinSearch`, `supportsCloudTTS`, `supportsCodeInterpreter`, `supportsCodexSandboxMode`, `supportsCodexThreadResume`, `supportsComputerUse`, `supportsCustomTools`, `supportsDeveloperRole`, `supportsDocumentInput`, `supportsFileInput`, `supportsHostedConnectors`, `supportsHostedContainer`, `supportsHostedConversations`, `supportsHostedFileSearch`, `supportsHostedMcp`, `supportsHostedSkills`, `supportsImageGeneration`, `supportsImageInput`, `supportsLocalRealtimeVoice`, `supportsLocalSTT`, `supportsLocalTTS`, `supportsMultiTurn`, `supportsPromptCacheKey`, `supportsPromptTemplate`, `supportsRealtimeSIP`, `supportsRealtimeVoice`, `supportsRealtimeWebRTC`, `supportsReasoningEffort`, `supportsServerAgentLoop`, `supportsServerCompaction`, `supportsServerVAD`, `supportsServiceTier`, `supportsStreaming`, `supportsStructuredOutput`, `supportsToolCalling`, `supportsWebSearch`, `supportsWebhookDelivery` **Knobs** (set under `harness_config.sdk_settings.openai`): | Knob | Type | What it does | | ------------------------------------ | --------- | -------------------------------------------------------------------------------------------------------------------------------------------------- | | `openai_connectors` | string\[] | Hosted connector IDs (Drive, Gmail, etc.); emitted as \{type:mcp, connector\_id} tools. | | `openai_connector_authorization` | string | Per-connector OAuth access token map (connector id → token); required by the API for every connector tool. | | `computer_use_display` | string | Display config \{width,height,environment}; selects the older computer\_use\_preview tool (the current computer tool takes no display parameters). | | `tool_approval_mode` | enum | Approval mode for computer-use actions. | | `openai_include_computer_call_image` | boolean | Include screenshot/image payloads in runtime events. | **Starter workflow** (copy, then extend with [snippets](/harness/snippets)): ```yaml theme={null} --- id: starter-openai-operator version: 1.0.0 agent: runtime_key: openai-operator provider: openai model: gpt-5.5 role: worker task_template: "Run {{workflow_id}} for {{issue_ref}}." max_turns: 8 routing_strategy: single_agent_routine single_agent: select: fixed candidates: - runtime_key: openai-operator method: api budget: tokens: 60000 wall_clock_minutes: 30 sandbox: workspace_write: true tools: required: - fs.read - fs.write --- # Starter: OpenAI Operator Plan, implement, verify; record evidence before finishing. ``` ## openai-realtime-api **OpenAI Realtime API** — OpenAI Realtime API **When to use:** Use when you need low-latency audio or multimodal Realtime sessions with server VAD and voice output. **Capability flags:** `canParseVerdicts`, `canReview`, `supportsAudioInput`, `supportsAudioOutput`, `supportsAudioStreaming`, `supportsBatchApi`, `supportsBuiltinCodeExec`, `supportsBuiltinSearch`, `supportsCloudTTS`, `supportsCodeInterpreter`, `supportsCodexSandboxMode`, `supportsCodexThreadResume`, `supportsComputerUse`, `supportsCustomTools`, `supportsDeveloperRole`, `supportsDocumentInput`, `supportsFileInput`, `supportsHostedContainer`, `supportsHostedFileSearch`, `supportsHostedMcp`, `supportsHostedSkills`, `supportsImageGeneration`, `supportsImageInput`, `supportsLocalRealtimeVoice`, `supportsLocalSTT`, `supportsLocalTTS`, `supportsMultiTurn`, `supportsPromptCacheKey`, `supportsRealtimeSIP`, `supportsRealtimeVoice`, `supportsRealtimeWebRTC`, `supportsReasoningEffort`, `supportsServerAgentLoop`, `supportsServerCompaction`, `supportsServerVAD`, `supportsServiceTier`, `supportsStreaming`, `supportsStructuredOutput`, `supportsToolCalling`, `supportsWebSearch` **Knobs** (set under `harness_config.sdk_settings.openai`): | Knob | Type | What it does | | ---------------- | --------- | ------------------------------------- | | `voice` | string | Realtime voice name. | | `modalities` | string\[] | Realtime modalities to request. | | `turn_detection` | enum | Server VAD / turn detection strategy. | **Starter workflow** (copy, then extend with [snippets](/harness/snippets)): ```yaml theme={null} --- id: starter-openai-realtime-api version: 1.0.0 agent: runtime_key: openai-realtime-api provider: openai model: gpt-realtime-2 role: worker task_template: "Run {{workflow_id}} for {{issue_ref}}." max_turns: 8 routing_strategy: single_agent_routine single_agent: select: fixed candidates: - runtime_key: openai-realtime-api method: api budget: tokens: 60000 wall_clock_minutes: 30 sandbox: workspace_write: true tools: required: - fs.read - fs.write --- # Starter: OpenAI Realtime API Plan, implement, verify; record evidence before finishing. ``` ## openai-responses-api **OpenAI Responses API** — OpenAI Responses API **When to use:** Use when you need the broadest OpenAI knob surface, structured output, hosted tools, background runs, and webhook delivery. **Capability flags:** `canParseVerdicts`, `canReview`, `supportsAudioInput`, `supportsAudioOutput`, `supportsBatchApi`, `supportsBuiltinCodeExec`, `supportsBuiltinSearch`, `supportsCloudTTS`, `supportsCodeInterpreter`, `supportsCodexSandboxMode`, `supportsCodexThreadResume`, `supportsComputerUse`, `supportsCustomTools`, `supportsDeveloperRole`, `supportsDocumentInput`, `supportsFileInput`, `supportsHostedConnectors`, `supportsHostedContainer`, `supportsHostedConversations`, `supportsHostedFileSearch`, `supportsHostedMcp`, `supportsHostedSkills`, `supportsImageGeneration`, `supportsImageInput`, `supportsLocalRealtimeVoice`, `supportsLocalSTT`, `supportsLocalTTS`, `supportsMultiTurn`, `supportsPromptCacheKey`, `supportsPromptTemplate`, `supportsReasoningEffort`, `supportsServerAgentLoop`, `supportsServerCompaction`, `supportsServiceTier`, `supportsStreaming`, `supportsStructuredOutput`, `supportsToolCalling`, `supportsWebSearch`, `supportsWebhookDelivery` **Knobs** (set under `harness_config.sdk_settings.openai`): | Knob | Type | What it does | | -------------------- | --------- | ------------------------------------------- | | `reasoning_effort` | enum | Reasoning effort for GPT-5/o-series models. | | `openai_background` | boolean | Background delivery via webhook. | | `openai_connectors` | string\[] | Hosted connector IDs. | | `openai_webhook_url` | string | Webhook receiver for async delivery. | **Starter workflow** (copy, then extend with [snippets](/harness/snippets)): ```yaml theme={null} --- id: starter-openai-responses-api version: 1.0.0 agent: runtime_key: openai-responses-api provider: openai model: gpt-5.5 role: worker task_template: "Run {{workflow_id}} for {{issue_ref}}." max_turns: 8 routing_strategy: single_agent_routine single_agent: select: fixed candidates: - runtime_key: openai-responses-api method: api budget: tokens: 60000 wall_clock_minutes: 30 sandbox: workspace_write: true tools: required: - fs.read - fs.write --- # Starter: OpenAI Responses API Plan, implement, verify; record evidence before finishing. ```