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Recent Commits to openclaw:main

test: merge chat side-result checks · openclaw/openclaw@ddd2c2a test: merge cron history checks · openclaw/openclaw@f7eb746 test: merge responsive navigation shell checks · openclaw/openclaw@c2e4b47 docs(changelog): add codex oauth fixes · openclaw/openclaw@628e6cd test: merge navigation routing cases · openclaw/openclaw@5d8cecb Tests: mock channel registry bundled fallback · openclaw/openclaw@2b08233 Secrets: avoid broad web search discovery for single plugin config · openclaw/openclaw@a464f59 test: merge config view browser checks · openclaw/openclaw@20cf511 fix(status): align oauth health with runtime · openclaw/openclaw@eed7116 feat: add macOS screen snapshots for monitor preview (#67954) thanks … · openclaw/openclaw@f377db1 fix: report shared auth scopes in hello-ok (#67810) thanks @BunsDev · openclaw/openclaw@0b6c39b Auto-reply: avoid eager bundled route fallback · openclaw/openclaw@3ea1bf4 Tests: narrow session binding contract setup · openclaw/openclaw@54e4e16 fix(macOS): enable undo/redo in webchat composer text input (#34962) · openclaw/openclaw@00951dc Tests: speed up channel setup promotion · openclaw/openclaw@82b529a Docs: refresh agent instructions · openclaw/openclaw@5775fe2 fix(auth): serialize OAuth refresh across agents to fix #26322 (#67876) · openclaw/openclaw@8e79080 test: allow ollama public surface boundary test · openclaw/openclaw@7d4f1a6 Docs: add test performance guardrails · openclaw/openclaw@89706d3 Tests: restore context-engine usage proof · openclaw/openclaw@e4c4f95 Tests: slim context engine runtime coverage · openclaw/openclaw@74c198f ci: retry failed custom checkouts · openclaw/openclaw@0ee5baf test: trim duplicate provider auth onboarding cases · openclaw/openclaw@1ffc02e matrix: fix sessions_spawn --thread subagent session spawning (#67643) · openclaw/openclaw@1ce2596 test: reduce auth choice fixture churn · openclaw/openclaw@857b9cd test: mock health status config boundaries · openclaw/openclaw@9d5ab4a test: mock onboard config io boundary · openclaw/openclaw@299694d test: mock legacy state plugin boundaries · openclaw/openclaw@2713089 test: mock channel install boundaries · openclaw/openclaw@b945248 test: mock doctor preview channel boundaries · openclaw/openclaw@b1a3ad4
Document agent runtimes and the Codex v1 contract (#71270...
pashpashpash · 2026-04-25 · via Recent Commits to openclaw:main

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---

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summary: "How OpenClaw separates model providers, models, channels, and agent runtimes"

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title: "Agent runtimes"

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read_when:

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- You are choosing between PI, Codex, ACP, or another native agent runtime

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- You are confused by provider/model/runtime labels in status or config

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- You are documenting support parity for a native harness

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---

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An **agent runtime** is the component that owns one prepared model loop: it

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receives the prompt, drives model output, handles native tool calls, and returns

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the finished turn to OpenClaw.

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Runtimes are easy to confuse with providers because both show up near model

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configuration. They are different layers:

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| Layer | Examples | What It Means |

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| ------------- | ------------------------------------- | ------------------------------------------------------------------- |

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| Provider | `openai`, `anthropic`, `openai-codex` | How OpenClaw authenticates, discovers models, and names model refs. |

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| Model | `gpt-5.5`, `claude-opus-4-6` | The model selected for the agent turn. |

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| Agent runtime | `pi`, `codex`, ACP-backed runtimes | The low level loop that executes the prepared turn. |

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| Channel | Telegram, Discord, Slack, WhatsApp | Where messages enter and leave OpenClaw. |

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You will also see the word **harness** in code and config. A harness is the

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implementation that provides an agent runtime. For example, the bundled Codex

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harness implements the `codex` runtime. The config key is still named

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`embeddedHarness` for compatibility, but user-facing docs and status output

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should generally say runtime.

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The common Codex setup uses the `openai` provider with the `codex` runtime:

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```json5

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{

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agents: {

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defaults: {

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model: "openai/gpt-5.5",

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embeddedHarness: {

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runtime: "codex",

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},

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},

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},

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}

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```

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That means OpenClaw selects an OpenAI model ref, then asks the Codex app-server

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runtime to run the embedded agent turn. It does not mean the channel, model

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provider catalog, or OpenClaw session store becomes Codex.

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## Runtime ownership

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Different runtimes own different amounts of the loop.

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| Surface | OpenClaw PI embedded | Codex app-server |

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| --------------------------- | --------------------------------------- | --------------------------------------------------------------------------- |

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| Model loop owner | OpenClaw through the PI embedded runner | Codex app-server |

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| Canonical thread state | OpenClaw transcript | Codex thread, plus OpenClaw transcript mirror |

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| OpenClaw dynamic tools | Native OpenClaw tool loop | Bridged through the Codex adapter |

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| Native shell and file tools | PI/OpenClaw path | Codex-native tools, bridged through native hooks where supported |

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| Context engine | Native OpenClaw context assembly | OpenClaw projects assembled context into the Codex turn |

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| Compaction | OpenClaw or selected context engine | Codex-native compaction, with OpenClaw notifications and mirror maintenance |

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| Channel delivery | OpenClaw | OpenClaw |

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This ownership split is the main design rule:

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- If OpenClaw owns the surface, OpenClaw can provide normal plugin hook behavior.

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- If the native runtime owns the surface, OpenClaw needs runtime events or native hooks.

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- If the native runtime owns canonical thread state, OpenClaw should mirror and project context, not rewrite unsupported internals.

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## Runtime selection

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OpenClaw chooses an embedded runtime after provider and model resolution:

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1. A session's recorded runtime wins. Config changes do not hot-switch an

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existing transcript to a different native thread system.

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2. `OPENCLAW_AGENT_RUNTIME=<id>` forces that runtime for new or reset sessions.

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3. `agents.defaults.embeddedHarness.runtime` or

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`agents.list[].embeddedHarness.runtime` can set `auto`, `pi`, or a registered

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runtime id such as `codex`.

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4. In `auto` mode, registered plugin runtimes can claim supported provider/model

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pairs.

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5. If no runtime claims a turn in `auto` mode and `fallback: "pi"` is set

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(the default), OpenClaw uses PI as the compatibility fallback. Set

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`fallback: "none"` to make unmatched `auto`-mode selection fail instead.

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Explicit plugin runtimes fail closed by default. For example,

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`runtime: "codex"` means Codex or a clear selection error unless you set

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`fallback: "pi"` in the same override scope.

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## Compatibility contract

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When a runtime is not PI, it should document what OpenClaw surfaces it supports.

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Use this shape for runtime docs:

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| Question | Why It Matters |

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| -------------------------------------- | ------------------------------------------------------------------------------------------------- |

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| Who owns the model loop? | Determines where retries, tool continuation, and final answer decisions happen. |

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| Who owns canonical thread history? | Determines whether OpenClaw can edit history or only mirror it. |

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| Do OpenClaw dynamic tools work? | Messaging, sessions, cron, and OpenClaw-owned tools rely on this. |

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| Do dynamic tool hooks work? | Plugins expect `before_tool_call`, `after_tool_call`, and middleware around OpenClaw-owned tools. |

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| Do native tool hooks work? | Shell, patch, and runtime-owned tools need native hook support for policy and observation. |

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| Does the context engine lifecycle run? | Memory and context plugins depend on assemble, ingest, after-turn, and compaction lifecycle. |

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| What compaction data is exposed? | Some plugins only need notifications, while others need kept/dropped metadata. |

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| What is intentionally unsupported? | Users should not assume PI equivalence where the native runtime owns more state. |

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The Codex runtime support contract is documented in

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[Codex harness](/plugins/codex-harness#v1-support-contract).

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## Status labels

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Status output may show both `Execution` and `Runtime` labels. Read them as

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diagnostics, not as provider names.

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- A model ref such as `openai/gpt-5.5` tells you the selected provider/model.

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- A runtime id such as `codex` tells you which loop is executing the turn.

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- A channel label such as Telegram or Discord tells you where the conversation is happening.

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If a session still shows PI after changing runtime config, start a new session

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with `/new` or clear the current one with `/reset`. Existing sessions keep their

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recorded runtime so a transcript is not replayed through two incompatible native

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session systems.

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## Related

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- [Codex harness](/plugins/codex-harness)

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- [Agent harness plugins](/plugins/sdk-agent-harness)

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- [Agent loop](/concepts/agent-loop)

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- [Models](/concepts/models)