56cb57a642
apply_chat_payload_breakpoints only marked role "user" messages, but on the OpenAI-shaped envelope (Databricks, OpenRouter, LiteLLM) tool results are role "tool" and tool calls ride on role "assistant", so within a tool-heavy turn both message breakpoints stayed pinned to the last human turn and the growing tail was re-billed at full price on every model call. Anchor the primary breakpoint on the last message whose final content block can carry a marker, regardless of role, and place a trailing anchor ~20 content blocks behind it so the next request's tail marker stays within Anthropic's cache lookback window. Block accounting includes tool_calls entries and retained reasoning_content, which occupy lookback positions as tool_use and thinking blocks. Messages that cannot carry a marker are skipped: empty tool results serialize to content "", assistant tool-call messages to content null, and thinking blocks (type "reasoning" on this envelope) reject cache_control. |
||
|---|---|---|
| .cargo | ||
| .devcontainer | ||
| .github | ||
| .intersect | ||
| bin | ||
| crates | ||
| documentation | ||
| evals/harbor | ||
| examples | ||
| oidc-proxy | ||
| recipe-scanner | ||
| scripts | ||
| services/ask-ai-bot | ||
| ui | ||
| vendor/v8 | ||
| workflow_recipes/release_risk_check | ||
| .dockerignore | ||
| .gitattributes | ||
| .gitignore | ||
| .goosehints | ||
| AGENTS.md | ||
| BUILDING_DOCKER.md | ||
| BUILDING_LINUX.md | ||
| Cargo.lock | ||
| Cargo.toml | ||
| CLAUDE.md | ||
| clippy.toml | ||
| CODE_OF_CONDUCT.md | ||
| CONTRIBUTING.md | ||
| CUSTOM_DISTROS.md | ||
| deny.toml | ||
| Dockerfile | ||
| download_cli.ps1 | ||
| download_cli.sh | ||
| flake.lock | ||
| flake.nix | ||
| goose-self-test.yaml | ||
| GOVERNANCE.md | ||
| I18N.md | ||
| Justfile | ||
| LICENSE | ||
| MAINTAINERS.md | ||
| MERGE_FIXES.md | ||
| README.md | ||
| RELEASE.md | ||
| RELEASE_CHECKLIST.md | ||
| rust-toolchain.toml | ||
| SECURITY.md | ||
| test_acp_client.py | ||
goose
your native open source AI agent — desktop app, CLI, and API — for code, workflows, and everything in between
goose is a general-purpose AI agent that runs on your machine. Not just for code — use it for research, writing, automation, data analysis, or anything you need to get done.
A native desktop app for macOS, Linux, and Windows. A full CLI for terminal workflows. An API to embed it anywhere. Built in Rust for performance and portability.
goose works with 15+ providers — Anthropic, OpenAI, Google, Ollama, OpenRouter, Azure, Bedrock, and more. Use API keys or your existing Claude, ChatGPT, or Gemini subscriptions via ACP. Connect to 70+ extensions via the Model Context Protocol open standard.
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Why did the developer choose goose as their AI agent?
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