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2 Commits
Author SHA1 Message Date
github-actions[bot] 0c24694ff5 chore: bump Cargo.toml to 0.7.0 2026-06-18 22:01:38 +00:00
github-actions[bot] 1e006256f1 bump: version 0.6.0 → 0.7.0 [skip ci] 2026-06-18 22:01:35 +00:00
139 changed files with 2187 additions and 16963 deletions
+16 -78
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@@ -8,9 +8,9 @@ on:
workflow_dispatch:
inputs:
bump_type:
description: 'Specify the type of version bump'
description: "Specify the type of version bump"
required: true
default: 'patch'
default: "patch"
type: choice
options:
- patch
@@ -46,7 +46,7 @@ jobs:
- name: Set up Python
uses: actions/setup-python@v4
with:
python-version: '3.10'
python-version: "3.10"
- name: Install Commitizen
run: |
@@ -108,19 +108,17 @@ jobs:
cargo update || true
sed -i "s|image: 'darkalex17/coyote:v[^']*'|image: 'darkalex17/coyote:v${VERSION}'|" assets/sbx-kit/spec.yaml
# Git config that helps in Act
git config user.name "github-actions[bot]"
git config user.email "github-actions[bot]@users.noreply.github.com"
git config --global --add safe.directory "$GITHUB_WORKSPACE"
git status --porcelain
git diff --name-only -- Cargo.toml Cargo.lock assets/sbx-kit/spec.yaml || true
git diff --name-only -- Cargo.toml Cargo.lock || true
if ! git diff --quiet -- Cargo.toml Cargo.lock assets/sbx-kit/spec.yaml; then
git add -u -- Cargo.toml Cargo.lock assets/sbx-kit/spec.yaml
git commit -m "chore: bump Cargo.toml and sandbox image to $VERSION"
if ! git diff --quiet -- Cargo.toml Cargo.lock; then
git add -u -- Cargo.toml Cargo.lock
git commit -m "chore: bump Cargo.toml to $VERSION"
else
echo "No changes to commit (already at $VERSION)"
fi
@@ -165,28 +163,28 @@ jobs:
- target: aarch64-unknown-linux-musl
os: ubuntu-latest
use-cross: true
cargo-flags: ''
cargo-flags: ""
- target: aarch64-apple-darwin
os: macos-latest
use-cross: true
cargo-flags: ''
cargo-flags: ""
- target: aarch64-pc-windows-msvc
os: windows-latest
use-cross: true
cargo-flags: ''
cargo-flags: ""
- target: x86_64-apple-darwin
os: macos-latest
cargo-flags: ''
cargo-flags: ""
- target: x86_64-pc-windows-msvc
os: windows-latest
cargo-flags: ''
cargo-flags: ""
- target: x86_64-unknown-linux-musl
os: ubuntu-latest
use-cross: true
cargo-flags: ''
cargo-flags: ""
- target: x86_64-unknown-linux-gnu
os: ubuntu-latest
cargo-flags: ''
cargo-flags: ""
steps:
- name: Check if actor is repository owner
@@ -340,7 +338,7 @@ jobs:
${{ steps.package.outputs.archive }}
${{ steps.package.outputs.sha }}
tag_name: v${{ env.RELEASE_VERSION }}
name: 'v${{ env.RELEASE_VERSION }}'
name: "v${{ env.RELEASE_VERSION }}"
body_path: artifacts/changelog.md
prerelease: false
@@ -457,64 +455,4 @@ jobs:
- uses: katyo/publish-crates@v2
if: env.ACT != 'true'
with:
registry-token: ${{ secrets.CARGO_REGISTRY_TOKEN }}
publish-sandbox-image:
needs: [publish-github-release]
name: Publish Sandbox Docker Image
runs-on: ubuntu-latest
steps:
- name: Check if actor is repository owner
if: ${{ github.actor != github.repository_owner && env.ACT != 'true' }}
run: |
echo "You are not authorized to run this workflow."
exit 1
- name: Checkout repository
uses: actions/checkout@v4
with:
fetch-depth: 1
- name: Ensure repository is up-to-date
if: env.ACT != 'true'
run: |
git fetch --all
git pull
- name: Get release artifacts
uses: actions/download-artifact@v4
with:
path: artifacts
merge-multiple: true
- name: Set version variable
run: |
version="$(cat artifacts/release-version)"
echo "version=$version" >> $GITHUB_ENV
- name: Validate release environment variables
run: |
echo "Release version: ${{ env.version }}"
- name: Set up QEMU
uses: docker/setup-qemu-action@v3
- name: Set up Docker Buildx
uses: docker/setup-buildx-action@v3
- name: Login to Docker Hub
if: env.ACT != 'true'
uses: docker/login-action@v3
with:
username: ${{ secrets.DOCKER_USERNAME }}
password: ${{ secrets.DOCKER_PASSWORD }}
- name: Push to Docker Hub
uses: docker/build-push-action@v5
with:
context: .
file: Dockerfile
platforms: linux/amd64,linux/arm64
push: ${{ env.ACT != 'true' }}
tags: darkalex17/coyote:latest, darkalex17/coyote:v${{ env.version }}
build-args: COYOTE_VERSION=${{ env.version }}
registry-token: ${{ secrets.CARGO_REGISTRY_TOKEN }}
-184
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@@ -1,191 +1,7 @@
## v0.8.0 (2026-07-25)
### Feat
- Dynamically detect if a selected client in the sandbox first run wizard supports oauth
- Add support for the --fresh flag again with host environment configuration injection
- force overwrite global sbx secrets
- add sbx secrets globally
- only create secrets local to a sandbox
- Improved credentials management for docker sandboxes
- renamed --contents arg for fs_write/patch to --content since most models attempt that first and error otherwise
- Used improved theme selections for tool call highlighting colors
- Improved theme-derived syntax highlighting for LLM tool call logging
- Improved coloring of LLM tool invocation outputs to make LLM output more readable and cohesive
- renamed the user__ask to user__select and improved descriptions to improve model usage
- Improved coloring/highlighting of tool calls to make LLM invocation logs easier to read
- long-running session improvements
- Made sisyphus suite of agents all auto-approved for tool usage
- added ast_grep tool to Sisyphus suite agents
- created the adversay agent and adversarial-review skill
- new spawnable_agents field in agents to let users restrict what agents can be spawned by a parent agent
- replay pre-compressed messages as well when resuming sessions for users to see
- created a new builtin function for agents who can spawn other agents to list available agents via agent__list_available
- **render**: hanging-indent line wrapping for lists and blockquotes
- **render**: wire table state machine and finalize hook
- **render**: render markdown tables with comfy-table
- **render**: parse table cells and column alignments
- **render**: detect markdown table rows and separators
- **render**: add comfy-table dependency and table border style
- **render**: activate rich markdown renderer as default
- **render**: rich block-level markdown rendering (headings, quotes, lists, hr)
- **render**: rich inline markdown rendering (bold, italic, code, links)
- **render**: detect markdown block-level line types
- **render**: precompute markdown scope styles for rich rendering
- Created the raw_markdown configuration flag
- added a .fork command to fork a new session from a running conversation
- **oauth**: enable browser-paste PKCE flow for OpenAI-compatible providers
- copy host OAuth tokens into sandbox at launch
- implement OAuth 2.0 Device Authorization Grant (RFC 8628)
- hint that browser 'paste code' pages can be ignored during callback capture
- openai-compatible wizard offers OAuth when provider has bundled oauth defaults
- validate unique client names at config load
- bundle xAI OAuth defaults in models.yaml
- OAuth branch in openai_compatible prepare_* fns
- get_oauth_provider_for_client dispatcher + client_config_info update
- OpenAICompatibleOAuthProvider (config-driven OAuthProvider impl)
- add auth + oauth fields to OpenAICompatibleConfig
- add oauth field to ProviderModels
- add client_credentials support to prepare_oauth_access_token
- add OAuthConfig + OAuthFlow types to oauth.rs
- Added reasoning effort to the right prompt
- Improved support for Anthropic's extended thinking
- Also support GEMINI.md workspace instructions
- Improved workspace instructions support
- also detect .mcp.json configurations at workspace roots
- Created new .tool enable/disable and .mcp enable/disable aliases to make REPL usage more egonomic
- Created a new .list <kind> REPL command to make discoveribility easier in the REPL
- Support claude-style hidden workspace MCP configuration files via .mcp.json
- Allow users to customize the workspace-specific configuration directory name so they can use Coyote with other CLI clients like .claude
- Add reasoning_effort validation for the main configuration file
- Add validation for reasoning_effort settings to prevent users from specifying erroneous values
- Added support for modifying the reasoning effort of reasoning models
- Explicitly Prevent .undo usage in graph agents
- Added an .undo command to the REPL to let users have more control over the conversation
- Improve sandbox startup time by using the prebuilt Coyote image
- Make coyote available as a docker image
- Made fs_patch more flexible for different model preferences of patch formats
- Installed nano into the sandbox so that users can edit config files in the sandbox directly
- Support workspace-local skill definitions and MCP configurations
- fully functional graph-based RAG
- Implemented graph-based RAG
- Added a --dangerously-skip-permissions flag to skip permission prompts for tool invocations
- Remove the temperature hyperparameter from the diagnose role
- Added a new oauth.redirectHost field to make it possible to further extend MCP support
- Updated the REPL mcp auth path to use the prettified error messaging
- Improved error messaging for failed MCP starts because of auth issues
- Added support for specifying the oauth port and client ID in MCP server configs
- Implemented OAuth support for OpenAI models via Codex endpoints
- merge MCP config when installing bundled mcp config
- Implemented durable state for sisyphus
- Installed ast-grep for the explore agent to use for better code exploration
- Created the step-runner graph agent for more deterministic coding workflows to produce even more reliable and higher-quality results
- Improved oracle and sisyphus agents with skill integrations for the new skills
- Created new sisyphus family skills to improve performance
- Created new diagnostic role and skill for use in other contexts
- Added new memory functions for deleting and renaming memory files, as well as new lints for memory expiration dates and staleness of memories to improve the memory system
- Created a new iwe skill and installed the iwe MCP server for utilizing large knowledgebases
- Session-specific, file-backed history in the REPL
- Replay session output when a user re-enters a session so all output can be seen again
- Added confirmation message after MCP Oauth succeeds when invoked from --auth-mcp
- Created the --auth-mcp CLI flag to let users auth with remote MCP servers without needing to be in the REPL
- add OAuth authentication support for remote MCP servers
- Added mixin for sisyphus so the ddg MCP server can search arbitrary domains
- added improved error messaging on MCP server initialization
- prefer musl versions for linux when running --update/.update
### Fix
- fresh wizard openai-compatible support
- config existence check for --fresh sandboxes
- Improve coyote sandbox startup time
- bypass forgotten sandbox mode check for MCP secret interpolation
- properly wrap sub-style changes in markdown rendering
- removed accidental duplicate ast_grep tool in explore agent
- npm and npx need the /usr/local/share/npm-global/lib directory to exist to run properly so I've added it to the dockerfile
- added executable bit to adversary agent tools script
- fetch descriptions from graph agent configs as well when listing agents
- **render**: suppress blank lines above rendered table
- chown the full sandbox cache dir, not just the coyote subdir
- chown the whole coyote cache dir not just the oauth dir in the sandbox
- fix typo in Gemini's generation_config property to use camelCase exclusively
- **oauth**: treat missing expires_in as non-expiring device_code token
- **oauth**: send Accept: application/json in device flow requests
- OAuth callback listener skips speculative/malformed browser connections
- resolve reasoning effort for the prompt for global defaults as well
- Account for default model reasoning_effort when supplying that value for the REPL prompts
- model narration included in history and between tool calls to prevent repetition
- Don't terminate agent loops early for null tool output
- reduce code duplication by reusing the new concrete_tool_names function in .list tools
- Agent tools can only be modified via .tool enable/disable using tools in the allowed whitelist in the agent
- re-render agent sessions when entering agents with either pre-configured agent_session or when entering an agent directly into a session
- Per RFC 9728, enable dynamic discovery of OAuth endpoints in MCP using path-aware discovery
- hot-attach to MCP servers that require auth after running .mcp auth <name>
- Correctly inherit graph-global model for extractor model if none is defined
- no cursor timeout when user scrolls away from ongoing streaming output
- default to the nano or notepad when a configured editor is not found
- When EDITOR, VISUAL, or config.editor is defined, don't verify via which
- Added a loop exit condition for the diagnostics skill
- Added directness clause to the diganose role to improve prompt
- fs tools now output better error handling to guide the model more effectively
- Make fs_read more tolerant of various arg invocation formats.
- todo functions are injected properly to roles when roles have auto_continue: true and the REPL is started directly into the role
- updated the redirect URI for OAuth MCP to use localhost since that's what is whitelisted, not 127.0.0.1
- allow MCP OAuth refresh_token to be absent from initial token exchanges
- Overrode the default JSON content-type for MCP OAuth so its properly application/x-www-form-urlencoded
- typo in mcp file name
- Added uvx wrapper for macos-based sandboxes
### Refactor
- Standardized paths module function names to not use 'path' in the name and to just always be either 'dir' or 'file'
- main.rs resolve_oauth_client uses new dispatcher
- split run_oauth_flow into pkce + client_credentials dispatchers
### Perf
- updated the memory injection warning so it only logs once, rather than after each keystroke
## v0.7.4 (2026-07-02)
### Feat
- Pin specific usql version to sbx kit
- recursively take ownership over the copied in coyote config for the sbx
- explicitly specify the COYOTE_CONFIG_DIR in the sbx kit
- --tail-logs can track log rollovers and incoporates a sleep timer to minimize idle CPU cycles
- Added support for log rolling so log files don't just blow up over time
### Fix
- Added back in --kit specification for the running of the sbx
- sbx isn't copying base files in their respective directories
- Update deprecated sbx kit config
- Properly chown the coyote config recursively and password file in the sbx
## v0.7.3 (2026-06-24)
### Fix
- apply bootstrapping of functions at startup to fix edge case
## v0.7.2 (2026-06-19)
### Fix
- usql version upgrade
## v0.7.1 (2026-06-19)
### Fix
- sbx mixins must be passed in directories, not as files and the files must be named spec.yaml per new sbx version
## v0.7.0 (2026-06-18)
### Feat
- added configurable cache path via the COYOTE_CACHE_PATH environment variable
- added a memory option to .set tab completions
- Added a diagnostic .info tools subcommand to make it easier to see what tools are enabled in all contexts
- Added additional info outputs for enabled skills and sbx directories
+1 -10
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@@ -28,13 +28,4 @@ While Coyote has since diverged significantly and is now developed as an
independent project, its early foundation and inspiration came from the
AIChat project.
AIChat is licensed under the MIT License. The MIT license text and its
copyright notice are preserved in the [LICENSE-MIT](./LICENSE-MIT) file.
## Licensing
Coyote as a whole is licensed under the GNU Affero General Public License
v3.0 only (AGPL-3.0-only); see [LICENSE](./LICENSE). Substantial portions
derived from AIChat remain under the MIT License (Copyright (c) sigoden),
preserved in [LICENSE-MIT](./LICENSE-MIT). See [NOTICE](./NOTICE) for the
combined-licensing summary.
AIChat is licensed under the MIT License.
Generated
+408 -570
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+3 -6
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@@ -1,6 +1,6 @@
[package]
name = "coyote-ai"
version = "0.8.0"
version = "0.7.0"
edition = "2024"
authors = ["Alex Clarke <alex.j.tusa@gmail.com>"]
description = "An all-in-one, batteries included LLM CLI Tool"
@@ -9,7 +9,7 @@ homepage = "https://github.com/Dark-Alex-17/coyote"
repository = "https://github.com/Dark-Alex-17/coyote"
categories = ["command-line-utilities"]
readme = "README.md"
license = "AGPL-3.0-only"
license = "MIT"
rust-version = "1.95.0"
exclude = [".github", "CONTRIBUTING.md"]
@@ -17,7 +17,6 @@ exclude = [".github", "CONTRIBUTING.md"]
anyhow = "1.0.69"
bytes = "1.4.0"
clap = { version = "4.5.40", features = ["cargo", "derive", "wrap_help"] }
comfy-table = { version = "7.2.2", features = ["custom_styling"] }
dirs = "6.0.0"
dunce = "1.0.5"
futures-util = "0.3.29"
@@ -50,7 +49,7 @@ textwrap = "0.16.0"
ansi_colours = "1.2.2"
eventsource-stream = "0.2.3"
log = "0.4.28"
log4rs = { version = "1.4.0", features = ["file_appender", "rolling_file_appender", "compound_policy", "fixed_window_roller", "size_trigger"] }
log4rs = { version = "1.4.0", features = ["file_appender"] }
shell-words = "1.1.0"
sha2 = "0.10.8"
unicode-width = "0.2.0"
@@ -75,7 +74,6 @@ html_to_markdown = "0.1.0"
rust-embed = "8.5.0"
os_info = { version = "3.8.2", default-features = false }
bm25 = { version = "2.0.1", features = ["parallelism"] }
petgraph = { version = "0.7", features = ["serde-1"] }
which = "8.0.0"
fuzzy-matcher = "0.3.7"
terminal-colorsaurus = "0.4.8"
@@ -108,7 +106,6 @@ self_update = { version = "0.44", default-features = false, features = [
"archive-zip",
"compression-zip-deflate",
] }
qrcode = "0.14"
[dependencies.reqwest]
version = "0.13.3"
-95
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@@ -1,95 +0,0 @@
ARG COYOTE_VERSION
FROM docker/sandbox-templates:shell-docker AS build
ARG COYOTE_VERSION
ARG TARGETARCH
ENV PATH="/home/agent/.cargo/bin:/home/agent/.local/bin:${PATH}"
USER root
RUN apt-get update && \
apt-get install -y --no-install-recommends \
jq curl git \
build-essential pkg-config \
cmake \
clang libclang-dev \
musl-tools \
libssl-dev \
pandoc \
bzip2 \
nano && \
rm -rf /var/lib/apt/lists/*
RUN set -euo pipefail; \
USQL_VERSION=0.21.4; \
case "${TARGETARCH}" in \
amd64) USQL_ARCH=amd64 ;; \
arm64) USQL_ARCH=arm64 ;; \
*) echo "Unsupported TARGETARCH: ${TARGETARCH}" >&2; exit 1 ;; \
esac; \
TMPDIR=$(mktemp -d); \
curl -fsSL --retry 3 \
"https://github.com/xo/usql/releases/download/v${USQL_VERSION}/usql_static-${USQL_VERSION}-linux-${USQL_ARCH}.tar.bz2" \
-o "$TMPDIR/usql.tar.bz2"; \
tar -xjf "$TMPDIR/usql.tar.bz2" -C "$TMPDIR"; \
install -m 0755 "$TMPDIR/usql_static" /usr/local/bin/usql; \
rm -rf "$TMPDIR"
USER 1000
RUN curl -LsSf https://astral.sh/uv/install.sh | sh && \
printf '#!/bin/sh\nexec uv tool run "$@"\n' > "$HOME/.local/bin/uvx" && \
chmod +x "$HOME/.local/bin/uvx"
RUN mkdir -p /usr/local/share/npm-global/lib
RUN curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | \
sh -s -- -y --default-toolchain stable --profile minimal && \
. "$HOME/.cargo/env" && \
cargo install --locked iwec && \
cargo install --locked ast-grep
USER root
RUN set -euo pipefail; \
case "${TARGETARCH}" in \
amd64) MUSL_TARGET=x86_64-unknown-linux-musl ;; \
arm64) MUSL_TARGET=aarch64-unknown-linux-musl ;; \
*) echo "Unsupported TARGETARCH: ${TARGETARCH}" >&2; exit 1 ;; \
esac; \
TMPDIR=$(mktemp -d); \
curl -fsSL --retry 3 \
"https://github.com/Dark-Alex-17/coyote/releases/download/v${COYOTE_VERSION}/coyote-${MUSL_TARGET}.tar.gz" \
-o "$TMPDIR/coyote.tar.gz"; \
tar -xzf "$TMPDIR/coyote.tar.gz" -C "$TMPDIR"; \
install -m 0755 "$TMPDIR/coyote" /home/agent/.cargo/bin/coyote; \
chown 1000:1000 /home/agent/.cargo/bin/coyote; \
rm -rf "$TMPDIR"
FROM scratch
ARG COYOTE_VERSION
COPY --from=build / /
ENV PATH="/home/agent/.cargo/bin:/home/agent/.local/bin:/usr/local/share/npm-global/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin" \
NPM_CONFIG_PREFIX="/usr/local/share/npm-global" \
NO_PROXY="localhost,127.0.0.1,::1,172.17.0.0/16" \
no_proxy="localhost,127.0.0.1,::1,172.17.0.0/16" \
BASH_ENV="/etc/sandbox-persistent.sh"
LABEL com.docker.sandboxes="templates" \
com.docker.sandboxes.base="ubuntu:questing" \
com.docker.sandboxes.flavor="shell-docker" \
com.docker.sandboxes.start-docker="true" \
org.opencontainers.image.title="coyote" \
org.opencontainers.image.description="An all-in-one, batteries-included LLM CLI tool: Shell Assistant, CLI & REPL mode, RAG, AI tools & agents, MCP servers, skills, and macros." \
org.opencontainers.image.source="https://github.com/Dark-Alex-17/coyote" \
org.opencontainers.image.version="${COYOTE_VERSION}"
WORKDIR /home/agent/workspace
USER 1000
ENTRYPOINT ["coyote"]
+22 -661
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@@ -1,661 +1,22 @@
GNU AFFERO GENERAL PUBLIC LICENSE
Version 3, 19 November 2007
Copyright (C) 2007 Free Software Foundation, Inc. <https://fsf.org/>
Everyone is permitted to copy and distribute verbatim copies
of this license document, but changing it is not allowed.
Preamble
The GNU Affero General Public License is a free, copyleft license for
software and other kinds of works, specifically designed to ensure
cooperation with the community in the case of network server software.
The licenses for most software and other practical works are designed
to take away your freedom to share and change the works. By contrast,
our General Public Licenses are intended to guarantee your freedom to
share and change all versions of a program--to make sure it remains free
software for all its users.
When we speak of free software, we are referring to freedom, not
price. Our General Public Licenses are designed to make sure that you
have the freedom to distribute copies of free software (and charge for
them if you wish), that you receive source code or can get it if you
want it, that you can change the software or use pieces of it in new
free programs, and that you know you can do these things.
Developers that use our General Public Licenses protect your rights
with two steps: (1) assert copyright on the software, and (2) offer
you this License which gives you legal permission to copy, distribute
and/or modify the software.
A secondary benefit of defending all users' freedom is that
improvements made in alternate versions of the program, if they
receive widespread use, become available for other developers to
incorporate. Many developers of free software are heartened and
encouraged by the resulting cooperation. However, in the case of
software used on network servers, this result may fail to come about.
The GNU General Public License permits making a modified version and
letting the public access it on a server without ever releasing its
source code to the public.
The GNU Affero General Public License is designed specifically to
ensure that, in such cases, the modified source code becomes available
to the community. It requires the operator of a network server to
provide the source code of the modified version running there to the
users of that server. Therefore, public use of a modified version, on
a publicly accessible server, gives the public access to the source
code of the modified version.
An older license, called the Affero General Public License and
published by Affero, was designed to accomplish similar goals. This is
a different license, not a version of the Affero GPL, but Affero has
released a new version of the Affero GPL which permits relicensing under
this license.
The precise terms and conditions for copying, distribution and
modification follow.
TERMS AND CONDITIONS
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"This License" refers to version 3 of the GNU Affero General Public License.
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"The Program" refers to any copyrightable work licensed under this
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To "modify" a work means to copy from or adapt all or part of the work
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A "covered work" means either the unmodified Program or a work based
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END OF TERMS AND CONDITIONS
How to Apply These Terms to Your New Programs
If you develop a new program, and you want it to be of the greatest
possible use to the public, the best way to achieve this is to make it
free software which everyone can redistribute and change under these terms.
To do so, attach the following notices to the program. It is safest
to attach them to the start of each source file to most effectively
state the exclusion of warranty; and each file should have at least
the "copyright" line and a pointer to where the full notice is found.
<one line to give the program's name and a brief idea of what it does.>
Copyright (C) <year> <name of author>
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU Affero General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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You should have received a copy of the GNU Affero General Public License
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Also add information on how to contact you by electronic and paper mail.
If your software can interact with users remotely through a computer
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solutions will be better for different programs; see section 13 for the
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You should also get your employer (if you work as a programmer) or school,
if any, to sign a "copyright disclaimer" for the program, if necessary.
For more information on this, and how to apply and follow the GNU AGPL, see
<https://www.gnu.org/licenses/>.
The MIT License (MIT)
Copyright (c) 2025 sigoden
Copyright (c) 2025 Alexander J. Clarke
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
-22
View File
@@ -1,22 +0,0 @@
The MIT License (MIT)
Copyright (c) 2025 sigoden
Copyright (c) 2025 Alexander J. Clarke
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
-24
View File
@@ -1,24 +0,0 @@
Coyote
Copyright (c) 2025 Alexander J. Clarke
This project as a whole is licensed under the GNU Affero General Public
License, version 3.0 only (AGPL-3.0-only). The full text of that license is
provided in the LICENSE file.
--------------------------------------------------------------------------------
Upstream / third-party notices
--------------------------------------------------------------------------------
Coyote began as a fork of AIChat (https://github.com/sigoden/aichat),
Copyright (c) sigoden, which is distributed under the MIT License. Substantial
portions of Coyote are derived from AIChat and remain available under the terms
of the MIT License. The MIT License text and its required copyright and
permission notices are preserved in the LICENSE-MIT file.
As permitted by the MIT License, these portions have been incorporated into a
larger work that is distributed under the AGPL-3.0-only license. When you
receive Coyote as a combined work, your rights and obligations for the work as
a whole are governed by the AGPL-3.0-only license; the MIT notice is retained
to satisfy the attribution requirements of the MIT-licensed portions.
See CREDITS.md for additional background and attribution.
+2 -52
View File
@@ -5,8 +5,6 @@
![Release](https://img.shields.io/github/v/release/Dark-Alex-17/coyote?color=%23c694ff)
![Crate.io downloads](https://img.shields.io/crates/d/coyote-ai?label=Crate%20downloads)
[![GitHub Downloads](https://img.shields.io/github/downloads/Dark-Alex-17/coyote/total.svg?label=GitHub%20downloads)](https://github.com/Dark-Alex-17/coyote/releases)
![Docker pulls](https://img.shields.io/docker/pulls/darkalex17/coyote?label=Docker%20downloads)
[![License: AGPL v3](https://img.shields.io/badge/License-AGPL_v3-blue.svg)](./LICENSE)
Coyote is an all-in-one, batteries-included, LLM CLI tool featuring Shell Assistant, CLI & REPL Mode, RAG, AI Tools &
Agents, and More.
@@ -40,7 +38,6 @@ Coming from [AIChat](https://github.com/sigoden/aichat)? Follow the [migration g
* [RAG](https://github.com/Dark-Alex-17/coyote/wiki/RAG): Retrieval-Augmented Generation for enhanced information retrieval and generation.
* [Sessions](https://github.com/Dark-Alex-17/coyote/wiki/Sessions): Manage and persist conversational contexts and settings across multiple interactions.
* [Memory](https://github.com/Dark-Alex-17/coyote/wiki/Memory): Persistent file-based memory that survives across sessions. Bootstrap with `coyote --init-memory [global|workspace]`.
* [Workspace Instructions](https://github.com/Dark-Alex-17/coyote/wiki/Workspace-Instructions): Human-curated project instructions (`COYOTE.md`) injected into every prompt, with `AGENTS.md`/`CLAUDE.md`/`GEMINI.md` fallbacks for cross-tool compatibility. Scaffold with `coyote --init-instructions`.
* [Roles](https://github.com/Dark-Alex-17/coyote/wiki/Roles): Customize model behavior for specific tasks or domains.
* [Skills](https://github.com/Dark-Alex-17/coyote/wiki/Skills): Modular knowledge or capability packs the LLM can load and unload mid-conversation. Multiple skills compose; instructions stack, tools and MCPs union.
* [Agents](https://github.com/Dark-Alex-17/coyote/wiki/Agents): Leverage AI agents to perform complex tasks and workflows, including sub-agent spawning, teammate messaging, and user interaction tools.
@@ -62,14 +59,6 @@ Coyote requires the following tools to be installed on your system:
* [docker](https://docs.docker.com/engine/install/)
* [uv](https://docs.astral.sh/uv/getting-started/installation/)
* `curl -LsSf https://astral.sh/uv/install.sh | sh`
* [iwe](https://github.com/iwe-org/iwe) (`iwec`, for the built-in `iwe` MCP server that navigates large markdown knowledgebases)
* **Homebrew:** `brew tap iwe-org/iwe && brew trust --formula iwe-org/iwe/iwe && brew install iwe`
* **Cargo:** `cargo install iwec`
* [ast-grep](https://ast-grep.github.io/) (for the built-in `ast_grep` structural code search tool, used by the `explore` agent)
* **Homebrew:** `brew install ast-grep`
* **Cargo:** `cargo install ast-grep --locked`
* **npm:** `npm i -g @ast-grep/cli`
* Optional: if `ast-grep` is not installed, the `ast_grep` tool reports it and agents fall back to `fs_grep`
These tools are used to provide various functionalities within Coyote, such as document processing, JSON manipulation,
etc., and they are used within agents and tools.
@@ -103,39 +92,13 @@ To upgrade `coyote` using Homebrew:
brew upgrade coyote
```
### Docker
Coyote is available as a Docker image on Docker Hub (`darkalex17/coyote`) for Linux amd64 and arm64.
Useful for CI, ephemeral environments, or anywhere you prefer not to install it natively.
```bash
docker pull darkalex17/coyote
docker run --rm -it darkalex17/coyote
```
To persist your configuration across container runs, mount your existing config directory:
```bash
docker run --rm -it \
-v ~/.config/coyote:/home/agent/.config/coyote \
darkalex17/coyote
```
If you use the local vault provider and want your vault credentials available in the container, also mount the password file:
```bash
docker run --rm -it \
-v ~/.config/coyote:/home/agent/.config/coyote \
-v ~/.coyote_password:/home/agent/.coyote_password:ro \
darkalex17/coyote
```
### Scripts
#### Linux/MacOS (`bash`)
You can use the following command to run a bash script that downloads and installs the latest version of `coyote` for your
OS (Linux/MacOS) and architecture (x86_64/arm64):
```shell
curl -fsSL https://raw.githubusercontent.com/Dark-Alex-17/coyote/refs/heads/main/scripts/install_coyote.sh | bash
curl -fsSL https://raw.githubusercontent.com/Dark-Alex-17/coyote/main/install_coyote.sh | bash
```
#### Windows/Linux/MacOS (`PowerShell`)
@@ -143,7 +106,7 @@ You can use the following command to run a PowerShell script that downloads and
for your OS (Windows/Linux/MacOS) and architecture (x86_64/arm64):
```powershell
powershell -NoProfile -ExecutionPolicy Bypass -Command "iwr -useb https://raw.githubusercontent.com/Dark-Alex-17/coyote/refs/heads/main/scripts/install_coyote.ps1 | iex"
powershell -NoProfile -ExecutionPolicy Bypass -Command "iwr -useb https://raw.githubusercontent.com/Dark-Alex-17/coyote/main/scripts/install_coyote.ps1 | iex"
```
### Manual
@@ -332,16 +295,3 @@ See [CREDITS.md](./CREDITS.md) for full attribution and background.
## Creator
* [Alex Clarke](https://github.com/Dark-Alex-17)
---
## License
Coyote is licensed under the [GNU Affero General Public License v3.0](./LICENSE)
(AGPL-3.0-only).
Coyote began as a fork of [AIChat](https://github.com/sigoden/aichat)
(Copyright (c) sigoden), which is licensed under the MIT License. Substantial
portions of Coyote are derived from AIChat and remain available under the MIT
License, preserved in [LICENSE-MIT](./LICENSE-MIT). See [NOTICE](./NOTICE) and
[CREDITS.md](./CREDITS.md) for details.
-94
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@@ -1,94 +0,0 @@
# Adversary
An **adversarial plan-conformance reviewer**. Where [`code-reviewer`](../code-reviewer/README.md)
asks *"is this code good?"*, `adversary` asks a different, harder question:
> **"Is this the code the plan asked for — all of it, and only it?"**
It hunts the gap between what a task/plan *specified* and what the implementer actually *built*:
silently skipped acceptance criteria, scope creep, interface substitution, approach drift, and the
requirements that never showed up in the diff at all ("the dog that didn't bark"). It assumes the
implementer drifted until the diff proves otherwise — the independence is the value.
## Why it's separate from `code-reviewer`
| | `code-reviewer` | `adversary` |
|---|---|---|
| Question | Is the code correct/clean/safe? | Does the code match the plan? |
| Input | The diff | The diff **+ the plan's acceptance criteria** |
| Blind spot it covers | slop, bugs, coupling, footguns | skipped criteria, scope drift, contract breakage |
| Output | severity-tagged findings (🔴🟡🟢) | a blocking verdict: `CONFORMS` / `DIVERGES` |
They are **complementary passes**, not substitutes. `sisyphus` runs both on non-trivial work: one
guards quality, the other guards fidelity to the plan.
## Verdict (blocking)
The agent ends every review with one sentinel:
```
ADVERSARIAL_REVIEW: CONFORMS
Criteria: N/N met (all with tests).
```
```
ADVERSARIAL_REVIEW: DIVERGES
Criteria: X/N met, Y partial, Z unmet/diverged.
Complaints:
1. Acceptance criterion "<quoted>" — <Unmet|Partial|Diverged> — <what the diff does/omits, file:line> — <fix>
2. ...
```
A `DIVERGES` verdict **blocks** completion. The caller (sisyphus/architect) must reconcile it —
resume the SAME coder/sisyphus session with the complaints pasted verbatim — or escalate. It mirrors
the `oracle` + `plan-review` gate used before implementation, but applied *after* implementation.
Every complaint ties to a quoted acceptance criterion (or a named scope/interface/out-of-scope
violation) and cites `file:line`. Vague complaints are not emitted.
## How it reviews
Driven by the [`adversarial-review`](../../skills/adversarial-review/SKILL.md) skill:
1. Map **every** acceptance criterion to specific evidence in the diff → ✅ Met / ⚠️ Partial / ❌ Unmet / 🔀 Diverged. No test proving the behavior ⇒ at best ⚠️ Partial.
2. Ground-truth with read-only tools (`fs_grep`/`fs_read`/`ast_grep`): confirm required symbols exist as specified, changes land where they must, new behavior is actually reached, tests target behavior not implementation.
3. Hunt adversarially for the **absent**: skipped criteria, scope creep, interface/approach substitution, out-of-scope touches, downstream contract breakage.
It is **read-only** — it produces a verdict, never a fix.
## Usage
Typically spawned by `sisyphus` (or `architect`) alongside `code-reviewer`. The spawn prompt IS its
entire context, so it must include the diff (or a base ref to fetch) **and** the acceptance criteria:
```sh
agent__spawn --agent adversary --prompt "
## TASK
Adversarially review the recent changes for TASK-NNN against its plan. Return CONFORMS/DIVERGES.
## DIFF
Run get_diff (or --base main), or: <paste diff>
## PLAN — acceptance criteria to check against
<paste the task index.md body + the relevant PLAN-*.md section, verbatim>
"
```
Direct invocation for ad-hoc use:
```sh
coyote -a adversary --agent-variable project_dir /path/to/repo \
"Review staged changes against these criteria: <paste criteria>"
```
### Tools
- `get_diff [--base <ref>]` — staged → unstaged → `HEAD~1` fallback (or an explicit base/PR branch).
- `get_changed_files [--base <ref>]` — quick changed-file map.
- Plus read-only `fs_*` and `ast_grep` for ground-truth checks.
## Related
- [`adversarial-review`](../../skills/adversarial-review/SKILL.md) — the conformance methodology it runs on.
- [`code-reviewer`](../code-reviewer/README.md) — the quality reviewer it runs alongside.
- [`plan-review`](../../skills/plan-review/SKILL.md) — the *pre*-implementation plan gate; `adversary` is its *post*-implementation counterpart.
-118
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@@ -1,118 +0,0 @@
name: adversary
description: Adversarial plan-conformance reviewer - judges whether an implementation matches the task/plan it was supposed to satisfy (not code quality). Returns a blocking CONFORMS/DIVERGES verdict. Complements code-reviewer. Designed to be delegated to by sisyphus.
version: 1.0.0
auto_continue: true
max_auto_continues: 15
inject_todo_instructions: true
skills_enabled: true
enabled_skills:
- adversarial-review
variables:
- name: project_dir
description: Project directory containing the changes under review
default: '.'
- name: auto_confirm
description: Auto-confirm command execution
default: '1'
global_tools:
- ast_grep.sh
- fs_read.sh
- fs_cat.sh
- fs_grep.sh
- fs_glob.sh
- fs_ls.sh
- execute_command.sh
instructions: |
You are an adversarial plan-conformance reviewer. You answer ONE question: **does this
implementation match the plan it was supposed to satisfy — all of it, and only it?** You are NOT
the code-quality reviewer (that is `code-reviewer`/`file-reviewer`, which judges correctness, slop,
and style). You judge CONFORMANCE: skipped acceptance criteria, silent scope drift, interface
substitution, and things the plan required that never showed up in the diff.
Your value is independence and suspicion. Assume the implementer drifted, cut a corner, or misread
the plan until the diff proves otherwise.
## Step 0: Load the skill
Before anything else, `skill__load` `adversarial-review`. It carries your methodology: the
criterion-by-criterion evidence mapping, the adversarial checklist (silently skipped criteria,
scope drift, interface drift, ground-truth verification, out-of-scope violations, downstream
contract breakage), and the exact verdict format. The skill body is your source of truth for HOW to
review and WHAT to flag; these instructions handle workflow and I/O.
## Input (the spawn prompt IS your entire context)
You are given:
1. **The diff** — pasted inline, or run `get_diff` (optionally `--base <ref>`) if told to fetch it.
2. **The plan** — the task's Objective, Tasks, and especially its **Acceptance criteria**, pasted
inline (e.g. a BCP task `index.md` body + the relevant `PLAN-*.md` section), or a path to read.
If the plan / acceptance criteria are missing, STOP and say so: conformance cannot be judged
without a spec. Do not invent criteria or guess intent.
## Workflow
1. Load `adversarial-review`.
2. Get the diff (inline or via `get_diff`) and identify the changed files.
3. For EACH acceptance criterion: find the specific evidence in the diff that satisfies it and
classify it ✅ Met / ⚠️ Partial / ❌ Unmet / 🔀 Diverged. A criterion with no test proving its
behavior is at best ⚠️ Partial.
4. Ground-truth every claim: `fs_grep` the symbols the plan requires (confirm they exist, spelled
as specified), `fs_read` around each hunk to confirm the change makes the criterion true, grep
callers to confirm new behavior is reached, confirm tests target behavior not implementation.
Use `ast_grep` for structural checks (e.g. "was this function signature actually changed?").
5. Hunt adversarially for what's ABSENT (the dog that didn't bark), scope creep, interface/approach
substitution, out-of-scope touches, and downstream contract breakage — per the skill checklist.
6. Emit the verdict in the skill's exact format.
## Output — verdict (MANDATORY, exact format)
End with EXACTLY one of these sentinels so the caller can route on it:
```
ADVERSARIAL_REVIEW: CONFORMS
Criteria: N/N met (all with tests).
<optional: 1-3 non-blocking observations>
```
```
ADVERSARIAL_REVIEW: DIVERGES
Criteria: X/N met, Y partial, Z unmet/diverged.
Complaints:
1. Acceptance criterion "<quoted>" — <Unmet|Partial|Diverged> — <what the diff does/omits, file:line> — <what would make it conform>
2. Scope drift / interface drift / out-of-scope — <file:line> — <the violation> — <the fix>
3. ...
```
Every complaint MUST quote the specific acceptance criterion (or name the specific scope/interface/
out-of-scope violation) AND cite file:line. A complaint with no criterion reference and no location
is noise — do not emit it.
## Rules
1. **You are read-only.** Never modify files. You produce a verdict; the implementer owns the fix.
2. **Conformance, not quality.** Do not flag style/naming/micro-optimizations unless they cause a
criterion to be unmet. If a quality defect breaks a criterion (a race violating a correctness
criterion), flag it as a conformance failure and note it is also a quality issue.
3. **No test ⇒ not met.** An acceptance criterion is a promise of observable behavior; unproven
behavior is at best Partial.
4. **Absence is a finding.** Review what SHOULD be in the diff per the plan, not only what IS.
5. **Don't re-litigate a settled decision** — but DO flag when the diff silently overrode one the
plan recorded ("do X not Y because Z" → diff does Y).
6. **The plan can be the culprit.** If the plan is impossible/self-contradictory, that is DIVERGES
with the plan named as root cause — never judge against a plan you silently corrected.
7. Be terse and decisive. Three real divergences beat fifteen weak ones. If everything is a nitpick,
it CONFORMS — say so.
## Context
- Project: {{project_dir}}
- CWD: {{__cwd__}}
- Shell: {{__shell__}}
## Available Tools
{{__tools__}}
-78
View File
@@ -1,78 +0,0 @@
#!/usr/bin/env bash
set -eo pipefail
# @env LLM_OUTPUT=/dev/stdout
# @env LLM_AGENT_VAR_PROJECT_DIR=.
# @describe Adversarial plan-conformance reviewer tools
_project_dir() {
local dir="${LLM_AGENT_VAR_PROJECT_DIR:-.}"
(cd "${dir}" 2>/dev/null && pwd) || echo "${dir}"
}
# @cmd Get the git diff to review for plan conformance. Returns staged changes, or unstaged if nothing is staged, or the HEAD~1 diff if the working tree is clean.
# @option --base Optional base ref to diff against (e.g., "main", "HEAD~3", a commit SHA, or a PR base branch)
get_diff() {
local project_dir
project_dir=$(_project_dir)
# shellcheck disable=SC2154
local base="${argc_base:-}"
local diff_output=""
if [[ -n "${base}" ]]; then
diff_output=$(cd "${project_dir}" && git diff "${base}" 2>&1) || true
else
diff_output=$(cd "${project_dir}" && git diff --cached 2>&1) || true
if [[ -z "${diff_output}" ]]; then
diff_output=$(cd "${project_dir}" && git diff 2>&1) || true
fi
if [[ -z "${diff_output}" ]]; then
diff_output=$(cd "${project_dir}" && git diff HEAD~1 2>&1) || true
fi
fi
if [[ -z "${diff_output}" ]]; then
echo "No changes found to review in ${project_dir}." >> "$LLM_OUTPUT"
return 0
fi
local file_count
file_count=$(echo "${diff_output}" | grep -c '^diff --git' || true)
{
echo "Diff contains changes to ${file_count} file(s):"
echo ""
echo "${diff_output}"
} >> "$LLM_OUTPUT"
}
# @cmd Get the list of changed files with stats (a quick map of what to check against the plan).
# @option --base Optional base ref to diff against
get_changed_files() {
local project_dir
project_dir=$(_project_dir)
local base="${argc_base:-}"
local stat_output=""
if [[ -n "${base}" ]]; then
stat_output=$(cd "${project_dir}" && git diff --stat "${base}" 2>&1) || true
else
stat_output=$(cd "${project_dir}" && git diff --cached --stat 2>&1) || true
if [[ -z "${stat_output}" ]]; then
stat_output=$(cd "${project_dir}" && git diff --stat 2>&1) || true
fi
if [[ -z "${stat_output}" ]]; then
stat_output=$(cd "${project_dir}" && git diff --stat HEAD~1 2>&1) || true
fi
fi
if [[ -z "${stat_output}" ]]; then
echo "No changes found in ${project_dir}." >> "$LLM_OUTPUT"
return 0
fi
{
echo "Changed files:"
echo ""
echo "${stat_output}"
} >> "$LLM_OUTPUT"
}
+1 -1
View File
@@ -16,7 +16,7 @@ agents while handling coordination and final reporting.
## Pro-Tip: Use an IDE MCP Server for Improved Performance
Many modern IDEs now include MCP servers that let LLMs perform operations within the IDE itself and use IDE tools. Using
an IDE's MCP server dramatically improves the performance of coding agents. So if you have an IDE, try adding that MCP
server to your config (see the [MCP Server docs](https://github.com/Dark-Alex-17/coyote/wiki/MCP-Servers) to see how to configure
server to your config (see the [MCP Server docs](../../../docs/function-calling/MCP-SERVERS.md) to see how to configure
them), and modify the agent definition to look like this:
```yaml
+1 -5
View File
@@ -19,12 +19,8 @@ variables:
- name: project_dir
description: Project directory to review
default: '.'
- name: auto_confirm
description: Auto-confirm command execution
default: '1'
global_tools:
- ast_grep.sh
- fs_read.sh
- fs_cat.sh
- fs_grep.sh
@@ -162,6 +158,6 @@ instructions: |
- Project: {{project_dir}}
- CWD: {{__cwd__}}
- Shell: {{__shell__}}
## Available Tools:
{{__tools__}}
+16 -24
View File
@@ -10,30 +10,22 @@ implement-fix loop enforced as graph edges rather than prose.
## Workflow
```mermaid
flowchart TD
resolve_paths{"resolve_paths<br/>script"} --> analyze_request
analyze_request["analyze_request<br/>llm + output_schema"] --> route_complexity
route_complexity{"route_complexity<br/>script"}
route_complexity -->|"complexity ≥ 7"| gate_approval
route_complexity -->|else| implement
gate_approval{{"gate_approval<br/>approval"}}
gate_approval -->|yes| implement
gate_approval -->|no| end_rejected
implement["implement<br/>llm + fs tools"] --> verify_build
verify_build{"verify_build<br/>script"}
verify_build -->|pass| verify_tests
verify_build -->|fail| fix_loop_gate
verify_tests{"verify_tests<br/>script"}
verify_tests -->|pass| end_success
verify_tests -->|fail| fix_loop_gate
fix_loop_gate{"fix_loop_gate<br/>script"}
fix_loop_gate -->|"budget left"| implement
fix_loop_gate -->|"budget spent"| end_failure
end_success(["end_success<br/>CODER_COMPLETE"])
end_rejected(["end_rejected<br/>CODER_REJECTED"])
end_failure(["end_failure<br/>CODER_FAILED"])
```
analyze_request (llm + output_schema) plan + complexity extraction
route_complexity (script) opt-out approval gate (complexity ≥ 7)
gate_approval (approval, optional)
implement (llm + fs tools) actual file edits
verify_build (script)
verify_tests (script)
fix_loop_gate (script) back-edge to implement (bounded)
end_success / end_rejected / end_failure
```
End nodes emit one of three sentinel outcomes for the caller:
+22 -29
View File
@@ -2,9 +2,9 @@ name: coder
description: |
Implementation agent. Plans, implements, and runs build + tests in a
bounded fix-loop until verified. Designed to be delegated to by sisyphus.
version: '1.0'
version: "1.0"
global_tools:
- ast_grep.sh
- fs_cat.sh
- fs_ls.sh
- fs_write.sh
@@ -25,7 +25,7 @@ variables:
Absolute path to the project directory. Defaults to "." which is the
directory you invoked `coyote` from. Override at runtime with
`coyote -a coder --agent-variable project_dir /abs/path "..."`.
default: '.'
default: "."
settings:
max_loop_iterations: 20
@@ -34,14 +34,14 @@ settings:
timeout: 1800
initial_state:
project_dir: ''
project_dir: ""
fix_attempts: 0
max_fix_attempts: 3
fix_instructions: ''
build_output: ''
tests_output: ''
last_node_output: ''
plan_summary: ''
fix_instructions: ""
build_output: ""
tests_output: ""
last_node_output: ""
plan_summary: ""
files_to_modify: []
files_to_create: []
risks: []
@@ -49,7 +49,7 @@ initial_state:
review_attempts: 0
max_review_attempts: 1
review_clean: true
review_notes: ''
review_notes: ""
start: resolve_paths
@@ -88,7 +88,7 @@ nodes:
etc. Empty list is fine.
Project directory: {{project_dir}}
prompt: '{{initial_prompt}}'
prompt: "{{initial_prompt}}"
tools: []
output_schema:
type: object
@@ -98,27 +98,20 @@ nodes:
description: 1-3 sentences summarizing what will be done
files_to_modify:
type: array
items: { type: string }
items: {type: string}
files_to_create:
type: array
items: { type: string }
items: {type: string}
complexity_score:
type: integer
minimum: 1
maximum: 10
risks:
type: array
items: { type: string }
required:
[
plan_summary,
files_to_modify,
files_to_create,
complexity_score,
risks,
]
items: {type: string}
required: [plan_summary, files_to_modify, files_to_create, complexity_score, risks]
state_updates:
last_node_output: '{{output}}'
last_node_output: "{{output}}"
fallback: end_failure
next: route_complexity
@@ -151,11 +144,11 @@ nodes:
Approve this plan?
options:
- 'yes'
- 'no'
- "yes"
- "no"
routes:
'yes': implement
'no': end_rejected
"yes": implement
"no": end_rejected
on_other: end_rejected
implement:
@@ -250,7 +243,7 @@ nodes:
- execute_command
max_iterations: 30
state_updates:
last_node_output: '{{output}}'
last_node_output: "{{output}}"
fallback: end_failure
next: verify_build
@@ -333,7 +326,7 @@ nodes:
description: Concrete issues found, one per line as file:line - description. Empty when review_clean is true.
required: [review_clean, review_notes]
state_updates:
last_node_output: '{{output}}'
last_node_output: "{{output}}"
fallback: end_success
next: route_review_result
+21 -36
View File
@@ -22,43 +22,28 @@ agent, this is the file to read alongside the
## Workflow
17 nodes. Solid arrows are static `next` / `routes` edges declared in
`graph.yaml`; script nodes can also route dynamically via `_next` (shown as
labeled branches out of the diamond). Dotted arrows show `map` fan-out — the
`research_each_question` node spawns one `research_one_question` branch per
sub-question and joins them before continuing.
17 nodes. `->` is the static route; a script node can also route
dynamically via `_next`. The `▶▶` line is a parallel super-step —
those branches run concurrently:
```mermaid
flowchart TD
parse_request{"parse_request<br/>script"}
parse_request -->|"topic given"| bootstrap_research
parse_request -->|"no topic"| ask_topic
ask_topic[/"ask_topic<br/>input"/] --> bootstrap_research
bootstrap_research{"bootstrap_research<br/>script"}
bootstrap_research --> plan
bootstrap_research --> knowledge_lookup
plan["plan<br/>llm + output_schema"] --> research_each_question
knowledge_lookup[("knowledge_lookup<br/>rag")] --> research_each_question
research_each_question[\research_each_question<br/>map/]
research_each_question -. "spawns × N" .-> research_one_question["research_one_question<br/>llm + web tools"]
research_each_question --> combine_findings
combine_findings{"combine_findings<br/>script"} --> vet_sources
vet_sources["vet_sources<br/>llm + classify_source"] --> critique
critique["critique<br/>llm"] --> reflexion_gate
reflexion_gate{"reflexion_gate<br/>script"}
reflexion_gate -->|"PASS"| synthesize
reflexion_gate -->|"REVISE (budget left)"| research_each_question
reflexion_gate -->|"REVISE (budget spent)"| synthesize
synthesize[["synthesize<br/>agent → report-writer"]] --> verify_sources
verify_sources{"verify_sources<br/>script"} --> approve
approve{{"approve<br/>approval"}}
approve -->|"accept"| end_accepted
approve -->|"reject"| end_rejected
approve -->|"other (free-form feedback)"| incorporate_feedback
incorporate_feedback{"incorporate_feedback<br/>script"} --> research_each_question
end_accepted(["end_accepted<br/>report"])
end_rejected(["end_rejected"])
```
parse_request (script) -> bootstrap_research (or -> ask_topic if no topic)
ask_topic (input) -> bootstrap_research
bootstrap_research (script) -> [plan, knowledge_lookup] ▶▶ parallel
plan (llm + output_schema) -> research_each_question
knowledge_lookup (rag) -> research_each_question
research_each_question (map) -> combine_findings (spawns one branch per question)
└─ research_one_question (llm) (atomic; runs N×, joins at map)
combine_findings (script) -> vet_sources
vet_sources (llm + custom tool) -> critique
critique (llm) -> reflexion_gate
reflexion_gate (script) -> synthesize (or -> research_each_question: reflexion loop)
synthesize (agent: report-writer) -> verify_sources
verify_sources (script) -> approve
approve (approval) -> end_accepted ("accept")
-> end_rejected ("reject")
-> incorporate_feedback (any free-form answer)
incorporate_feedback (script) -> research_each_question (the human-feedback loop)
```
### Node-type breakdown
+3 -10
View File
@@ -1,6 +1,6 @@
name: explore
description: Fast codebase exploration agent - finds patterns, structures, and relevant files. Designed to be fanned out in parallel by orchestrators — scale to the number of distinct search angles the task requires.
version: 3.1.0
description: Fast codebase exploration agent - finds patterns, structures, and relevant files. Designed to be fanned out 2-5 in parallel by orchestrators.
version: 3.0.0
skills_enabled: true
enabled_skills:
@@ -10,14 +10,10 @@ variables:
- name: project_dir
description: Project directory to explore
default: '.'
- name: auto_confirm
description: Auto-confirm command execution
default: '1'
mcp_servers:
- ddg-search
global_tools:
- ast_grep.sh
- fs_read.sh
- fs_cat.sh
- fs_grep.sh
@@ -37,7 +33,7 @@ instructions: |
## You may be one of many parallel explorers
Orchestrators (like Sisyphus) fan out as many explore agents as the task warrants — one per distinct search angle, module boundary, or concern. You may be one of many running in parallel. Assume you are ONE narrow slice of a larger investigation. Stay strictly within YOUR slice as defined by the prompt — don't broaden scope to cover what other parallel explorers might be handling.
Orchestrators (like Sisyphus) often fan out 2-5 explore agents at once, each covering a different angle of the same question. Assume you are ONE narrow slice of a larger investigation. Stay strictly within YOUR slice as defined by the prompt — don't broaden scope to cover what other parallel explorers might be handling.
If the prompt says "find auth middleware", you find auth middleware. You do NOT also tour the routing layer, the error system, and the database connection pool. Narrow scope is the contract.
@@ -53,8 +49,6 @@ instructions: |
4. **Locate symbols with `fs_grep`** — for finding where things live across the codebase. `fs_grep --pattern "fn handle_request" --include "*.rs"` is faster than reading files.
4b. **Match code STRUCTURE with `ast_grep`** — when text grep is too noisy or formatting-dependent. It matches syntax trees: `ast_grep --pattern '$X.unwrap()' --lang rust` finds every unwrap call however it's formatted; `ast_grep --pattern 'fn $NAME($$$) { $$$ }' --lang rust --glob 'src/**'` finds function definitions; `ast_grep --pattern 'useEffect($$$)' --lang tsx` finds hook usages that a text grep for "useEffect" would bury in comments and strings. Meta-variables: `$NAME` = one AST node, `$$$` = zero or more. The pattern must be a COMPLETE, valid AST node for `--lang` — `fn $NAME($$$)` without a body parses as nothing and matches nothing. Use `fs_grep` for plain text, comments, strings, and config files; `ast_grep` for calls, definitions, and signatures. If ast-grep isn't installed the tool says so — fall back to fs_grep.
5. **Read targeted sections with `fs_read --offset/--limit`** — `fs_read --path "src/main.rs" --offset 50 --limit 30` reads lines 50-79 only. `fs_read` adds line numbers but TRUNCATES long lines (over 2000 chars) and caps output at 2000 lines by default.
6. **Use `fs_cat` only when you need the full untruncated file** — rare in exploration. If you reach for `fs_cat`, ask whether `fs_grep` + targeted `fs_read` would answer your question with less context spend.
@@ -65,7 +59,6 @@ instructions: |
- `fs_grep --pattern "struct User" --include "*.rs"` — find content across files in a directory tree
- `fs_grep --pattern "TODO" --path "src/main.rs"` — find content within a single file (--include is ignored in this mode)
- `ast_grep --pattern 'impl $TRAIT for $TYPE' --lang rust` — find code by STRUCTURE, not text (see 4b above)
- `fs_glob --pattern "*.rs" --path src/` — find files by name pattern
- `fs_read --path "src/main.rs"` — read a TRUNCATED view with line numbers (default 2000 lines, lines over 2000 chars cut off)
- `fs_read --path "src/main.rs" --offset 100 --limit 50` — read lines 100-149 only (line numbers; truncation rules still apply)
+1 -1
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@@ -16,7 +16,7 @@ one file while communicating with sibling agents to catch issues that span multi
## Pro-Tip: Use an IDE MCP Server for Improved Performance
Many modern IDEs now include MCP servers that let LLMs perform operations within the IDE itself and use IDE tools. Using
an IDE's MCP server dramatically improves the performance of coding agents. So if you have an IDE, try adding that MCP
server to your config (see the [MCP Server docs](https://github.com/Dark-Alex-17/coyote/wiki/MCP-Servers) to see how to configure
server to your config (see the [MCP Server docs](../../../docs/function-calling/MCP-SERVERS.md) to see how to configure
them), and modify the agent definition to look like this:
```yaml
-3
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@@ -11,9 +11,6 @@ variables:
- name: project_dir
description: Project directory for context
default: '.'
- name: auto_confirm
description: Auto-confirm command execution
default: '1'
global_tools:
- fs_read.sh
+6 -19
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@@ -10,26 +10,13 @@ library, API, or framework is involved.
## Workflow
```mermaid
flowchart TD
triage["triage<br/>llm"] --> search
triage --> search_oss
triage -.->|"fallback"| end_failure
search["search<br/>llm + ddg-search MCP"] --> synthesize
search_oss["search_oss<br/>llm + personal-github MCP"] --> synthesize
synthesize["synthesize<br/>llm + fetch_url_via_curl"] --> final_format
final_format{"final_format<br/>script"} --> end_success
end_success(["end_success<br/>LIBRARIAN_COMPLETE"])
end_failure(["end_failure<br/>LIBRARIAN_FAILED"])
```
`triage` parses the prompt into language / doc-domain / query hints, then fans
out to `search` (authoritative docs via `ddg-search`) and `search_oss`
(production OSS examples via the `personal-github` MCP) in parallel. Both feed
into `synthesize`, which fetches each URL and produces a citation-backed
findings block. `final_format` (script) trims any LLM preamble before the
`LIBRARIAN_COMPLETE` sentinel is emitted.
search (llm + ddg-search) identify 3-5 authoritative sources
synthesize (llm + fetch_url_via_curl) fetch, extract, cite, synthesize
end_success / end_failure LIBRARIAN_COMPLETE / LIBRARIAN_FAILED
```
Iteration 1 (this) is the happy-path MVP: single search pass, single synthesis
pass, no quality-check loop. Future iterations may add:
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@@ -8,6 +8,8 @@ description: |
sisyphus alongside explore when unfamiliar libraries/APIs/frameworks are
involved.
Iteration 3: smart triage node up front + final-format trim of LLM
narrative leakage.
version: "1.0"
global_tools:
+2 -14
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@@ -1,27 +1,20 @@
name: oracle
description: High-IQ advisor for architecture, debugging, and complex decisions. Blocking by design - the orchestrator is waiting on you.
version: 2.1.0
version: 2.0.0
skills_enabled: true
enabled_skills:
- code-review
- ai-slop-remover
- plan-review
- plan-authoring
- iwe-knowledge-base
variables:
- name: project_dir
description: Project directory for context
default: '.'
- name: auto_confirm
description: Auto-confirm command execution
default: '1'
mcp_servers:
- ddg-search
global_tools:
- ast_grep.sh
- fs_read.sh
- fs_cat.sh
- fs_grep.sh
@@ -53,16 +46,13 @@ instructions: |
3. **Code review** — evaluating proposed designs or implementations.
4. **Risk assessment** — security, performance, reliability concerns.
5. **Multi-component questions** — anything spanning 3+ files or modules.
6. **Plan review** — critiquing implementation plans (high-level or per-step) BEFORE execution begins.
## Skills available
Load skills when relevant:
Two skills are available to you. Load them when relevant:
- `skill__load code-review` — when reviewing a diff or existing code; gives you a focused review checklist.
- `skill__load ai-slop-remover` — when judging code quality (especially for advising on cleanups).
- `skill__load plan-review` — when asked to review an implementation plan; adversarial checklist plus the PLAN_REVIEW verdict format. Load `plan-authoring` alongside it — it defines the plan schema you are checking against.
- `skill__load iwe-knowledge-base` — when the plans live in a large markdown corpus; navigate it structurally instead of globbing.
Use `skill__list` to see what's available; `skill__unload` when done to keep context lean.
@@ -101,8 +91,6 @@ instructions: |
ORACLE_COMPLETE
```
Exception: for plan reviews, use the `PLAN_REVIEW: OKAY` / `PLAN_REVIEW: REJECT` verdict format from the `plan-review` skill as the body, then end with `ORACLE_COMPLETE` on the final line as usual.
## Rules
1. **Never modify files** — you advise, others implement.
+4 -54
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@@ -5,45 +5,10 @@ project management similar to OpenCode, ClaudeCode, Codex, or Gemini CLI.
_Inspired by the Sisyphus and Oracle agents of OpenCode._
Sisyphus acts as the primary entry point. Every incoming request passes through a Phase 0 intent gate that verbalizes the intent, classifies it, and routes work to the specialized sub-agent(s) that fit — Sisyphus does not work alone when a specialist is available.
## Architecture
```mermaid
flowchart TD
user([User request]) --> sisyphus["Sisyphus<br/>orchestrator"]
sisyphus --> classify{"Phase 0<br/>Intent gate"}
classify -->|"Trivial<br/>(single file, obvious)"| direct["Direct tools<br/>fs_read / fs_patch / execute_command"]
classify -->|"Find in code<br/>How does Y work?"| explore[["explore<br/>internal codebase grep<br/>× 220 parallel"]]
classify -->|"External library<br/>docs / OSS examples"| librarian[["librarian<br/>docs + OSS grep<br/>× 26 parallel"]]
classify -->|"Architecture / hard debug<br/>Should I use X or Y?"| oracle[["oracle<br/>advisory, BLOCKING"]]
classify -->|"Implementation<br/>add / fix / create"| coder[["coder<br/>plan → edit → verify graph"]]
classify -->|"plans/ repo detected"| step_runner[["step-runner<br/>step-protocol graph"]]
coder --> broad_gate{"Broad scope?<br/>2+ coders / 5+ files /<br/>architectural boundary"}
broad_gate -->|"yes"| code_reviewer[["code-reviewer<br/>independent review"]]
broad_gate -->|"no"| spec_gate
code_reviewer --> spec_gate{"Implements<br/>a spec / plan?"}
spec_gate -->|"yes"| adversary[["adversary<br/>plan-conformance"]]
spec_gate -->|"no"| done
adversary --> done
direct --> done
done([Complete])
step_runner -. "internally spawns" .-> coder
step_runner -. "internally spawns" .-> code_reviewer
```
Spawnable sub-agents (from `config.yaml`):
- **[explore](../explore/README.md)** — internal codebase grep. Fan out one per distinct search angle or module (typically 26, up to 15+ for cross-cutting analysis).
- **[librarian](../librarian/README.md)** — external grep for official docs and production OSS examples. Fan out 26 in parallel with `explore` when unfamiliar libraries are involved.
- **[oracle](../oracle/README.md)** — advisory reasoning for architecture questions, hard debugging (after 2+ failed attempts), design review, and plan review. Blocking: Sisyphus never delivers a final answer with Oracle still running.
- **[coder](../coder/README.md)** — graph agent that plans, implements, and verifies (build + tests) in a bounded fix-loop.
- **[code-reviewer](../code-reviewer/README.md)** — independent post-implementation review; fires when the change is broad (2+ coders, 5+ files) or crosses architectural boundaries.
- **[adversary](../adversary/README.md)** — plan-conformance review; fires whenever the change implements a written spec, plan step, or acceptance-criteria list. Orthogonal to `code-reviewer` — both can run.
- **[step-runner](../step-runner/README.md)** — graph agent that executes one step of a phased plan repo. Internally delegates to `coder` for implementation and optionally to `code-reviewer` for review.
Sisyphus acts as the primary entry point, capable of handling complex tasks by coordinating specialized sub-agents:
- **[Coder](../coder/README.md)**: For implementation and file modifications.
- **[Explore](../explore/README.md)**: For codebase understanding and research.
- **[Oracle](../oracle/README.md)**: For architecture and complex reasoning.
## Features
@@ -51,21 +16,6 @@ Spawnable sub-agents (from `config.yaml`):
- 💻 **CLI Coding**: Provides a natural language interface for writing and editing code.
- 🔄 **Task Management**: Tracks progress and context across complex operations.
- 🛠️ **Tool Integration**: Seamlessly uses system tools for building, testing, and file manipulation.
- 📋 **Plan-Driven Workflows**: Authors, reviews, and executes phased implementation plans with handoffs between steps.
## Plan-Driven Workflows
For large features, Sisyphus supports a phased workflow backed by a plan repo (`plans/` with `steps/`, `handoffs/`, and
a rolling `NOTES.md`):
1. **Author** — after converging on a solution with you, Sisyphus loads the `plan-authoring` skill and writes a
high-level plan plus one grounded, self-contained implementation plan per step.
2. **Review** — [Oracle](../oracle/README.md) critiques the plans with the `plan-review` skill (ground-truth checks
against the codebase, verifiability, dependency ordering) and returns a `PLAN_REVIEW: OKAY`/`REJECT` verdict.
Rejected plans are fixed before any code is written.
3. **Execute** — one step at a time via the `step-implementation` and `handoff-protocol` skills: read the previous
handoff, staleness-check the plan, implement (delegating to [Coder](../coder/README.md)), verify, review, write an
evidence-backed handoff, and stop for your approval before the next step begins.
## Pro-Tip: Use an IDE MCP Server for Improved Performance
Many modern IDEs (JetBrains, VS Code, Cursor, Zed, etc.) expose MCP servers that let LLMs use IDE tools directly. Using
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@@ -1,6 +1,6 @@
name: sisyphus
description: OpenCode-style orchestrator - classifies intent, delegates to specialists, tracks progress with todos, enforces OMO-grade verification discipline
version: 3.2.0
version: 3.0.0
agent_session: temp
auto_continue: true
@@ -8,14 +8,6 @@ max_auto_continues: 25
inject_todo_instructions: true
can_spawn_agents: true
spawnable_agents:
- explore
- librarian
- coder
- oracle
- code-reviewer
- adversary
- step-runner
max_concurrent_agents: 4
max_agent_depth: 3
inject_spawn_instructions: true
@@ -31,10 +23,6 @@ enabled_skills:
- parallel-research
- verification-gates
- oracle-protocol
- plan-authoring
- step-implementation
- handoff-protocol
- iwe-knowledge-base
variables:
- name: project_dir
@@ -47,7 +35,6 @@ variables:
mcp_servers:
- ddg-search
global_tools:
- ast_grep.sh
- fs_read.sh
- fs_grep.sh
- fs_glob.sh
@@ -114,9 +101,6 @@ instructions: |
| About to touch git history | `git-master` |
| About to touch UI/components | `frontend-ui-ux` (also nudge delegates to load it) |
| About to write any code | `ai-slop-remover` |
| About to author a high-level plan or step plans | `plan-authoring` |
| About to execute a step of a phased plan | `step-implementation` + `handoff-protocol` |
| Navigating a plan repo or markdown knowledge base | `iwe-knowledge-base` |
Load skills BEFORE the phase, not after. Unload when the phase ends if context is getting heavy. `skill__unload` keeps the context lean.
@@ -137,11 +121,10 @@ instructions: |
| Agent | Use For | Characteristics |
|-------|---------|-----------------|
| `explore` | Find patterns in THIS codebase, understand local code | Read-only, returns findings, fan out as many as the task warrants — one per distinct search angle, module, or concern. Large codebases or cross-cutting tasks should spawn 515+. |
| `librarian` | Find official docs, OSS examples, web best practices for EXTERNAL libraries | Read-only, returns citation-backed findings, fan out as many as distinct external sources or questions warrant — typically 26, more if the topic spans multiple libraries or specs. |
| `explore` | Find patterns in THIS codebase, understand local code | Read-only, returns findings, fan out 2-5 in parallel |
| `librarian` | Find official docs, OSS examples, web best practices for EXTERNAL libraries | Read-only, returns citation-backed findings, fan out 1-3 in parallel |
| `coder` | Write/edit files, implement features | Graph agent: plan → approval → implement → verify build+tests → self_review → bounded fix-loop |
| `oracle` | Architecture, complex debugging, review, plan review | Advisory, blocking — never answer the user before collecting Oracle results |
| `step-runner` | Execute ONE step of a phased plan repo (Phase 8) | Graph agent: orient → staleness check → coder → verify → handoff → user approval gate |
| `oracle` | Architecture, complex debugging, review | Advisory, blocking — never answer the user before collecting Oracle results |
### When to fire `librarian` (external grep) vs `explore` (internal grep)
@@ -203,17 +186,7 @@ instructions: |
## Phase 4 - Parallel Research
When delegating exploration, load `parallel-research` skill, then fan out `explore` agents in parallel — one per distinct search angle, module boundary, or concern. Each gets a NARROW slice. Scale to the task:
| Task scope | Suggested fan-out |
|---|---|
| Single feature, known location | 23 |
| Multi-file feature across 2-3 modules | 46 |
| Cross-cutting concern (auth, error handling, config) across whole codebase | 712 |
| Large refactor or architectural analysis spanning many modules | 1020+ |
| Full codebase audit (security, performance, pattern consistency) | One agent per top-level module or package |
Never artificially cap at a small number. If there are 10 distinct things to find, spawn 10 agents. The system limit is the only ceiling that matters.
When delegating exploration, load `parallel-research` skill, then fan out 2-5 `explore` agents in parallel, each scoped to a different angle. Each gets a NARROW slice.
### The wait protocol
@@ -305,31 +278,6 @@ instructions: |
After a fix-loop completes, do not automatically re-run `code-reviewer` unless the fix itself triggers the same thresholds (2+ coders, 5+ files, architectural). Each `code-reviewer` invocation fans out N file-reviewers per changed file; spurious re-runs burn budget without proportional value. Trust coder's `self_review` on bounded fixes.
### Adversarial plan-conformance review (post-coder, when the work implements a plan/spec)
`code-reviewer` asks "is this code good?" It does NOT check "is this the code the plan asked for?" When the coder work implemented against a written spec — a task file, a `plans/` step, an acceptance-criteria list, or any request with explicit "done when …" criteria — spawn `adversary` for an independent conformance pass. It maps every acceptance criterion to evidence in the diff and hunts for silently-skipped criteria, scope drift, interface substitution, and requirements that never landed ("the dog that didn't bark").
**When to spawn it:** whenever the change has a checkable spec. This is orthogonal to the `code-reviewer` thresholds — a one-file change can still silently skip an acceptance criterion. If there is a plan/task/criteria list, run `adversary`. Run BOTH reviewers when the work is both broad (code-reviewer thresholds fire) AND spec-driven; they cover different failure modes and their prompts differ (code-reviewer gets the diff; adversary gets the diff PLUS the acceptance criteria).
**Spawn pattern** (the prompt IS its whole context — it MUST include the criteria):
```
agent__spawn --agent adversary --prompt "Adversarially review the recent coder change(s) for conformance to the plan. Return CONFORMS/DIVERGES.
DIFF: run get_diff (or --base <ref>), or: <paste diff>
PLAN — acceptance criteria to check against:
<paste the task/step spec + acceptance criteria VERBATIM — not a summary>"
```
### Handling adversary findings
- **`ADVERSARIAL_REVIEW: DIVERGES` blocks completion.** Do not mark the task done. Resume the SAME coder session (`agent__spawn --session_id <id> --prompt "Fix these plan-conformance failures: <complaints pasted verbatim>"`) — do not spawn a fresh coder. After the fix, re-run `adversary` ONCE to confirm it now CONFORMS; if it still DIVERGES on the same criteria after one fix cycle, STOP and escalate to the user (the plan or the approach may be wrong — consider `oracle`).
- **`ADVERSARIAL_REVIEW: CONFORMS`** — conformance satisfied; proceed (subject to code-reviewer's quality findings still being resolved).
- **A complaint that the PLAN itself is the root cause** (impossible/contradictory criterion) — do NOT silently "fix" by changing scope. Surface it to the user; the plan needs amending, which is their call.
Unlike `code-reviewer`, re-running `adversary` once after a conformance fix is expected — a DIVERGES verdict is a hard gate, and confirming the fix actually closed it is the point.
## File Operations (Direct Edits)
When you write or modify files yourself (rather than delegating to coder):
@@ -364,47 +312,6 @@ instructions: |
Never: leave code in broken state, continue hoping it'll work, delete failing tests to "pass," suppress errors to silence them.
## Phase 8 - Plan-Driven Work (phased implementation via a plan repo)
Detect this mode when the user references step plans, handoffs, or a plan repo — or the workspace contains `plans/` with `steps/` and `handoffs/`. Plan-driven work has two lifecycles. Never mix them in one turn.
### Authoring lifecycle (no code changes)
1. Discuss the problem; converge on a solution WITH the user before any plan is written.
2. Load `plan-authoring`. Explore first (fan out `explore` agents) — plans must be grounded in real code, with snippets pasted into each step's Context.
3. Write the high-level plan, then one step plan per step, following the schema and layout from `plan-authoring`.
4. **Plan review gate (MANDATORY before any execution):** spawn `oracle` to review the plans. Nudge it: "Load `plan-review` and `plan-authoring`, review `plans/`, return the PLAN_REVIEW verdict." REJECT → fix the complaints, re-submit. Do not start execution on an unreviewed or rejected plan.
5. Present the reviewed plan to the user for approval.
### Execution lifecycle (one step at a time)
**Default: delegate the whole step to `step-runner`** — a graph agent that enforces the step protocol as graph edges (orient → staleness check → coder → verify → edge-case sweep → optional independent review → validated handoff → user approval gate): `agent__spawn --agent step-runner --prompt "Execute step <N> of the plan at <plans_dir>"`. It returns `STEP_COMPLETE` / `STEP_BLOCKED` / `STEP_REJECTED` / `STEP_FAILED`. Relay its escalations (deviation gate, approval gate) promptly. On `STEP_FAILED`, surface the evidence to the user; consider `oracle` for diagnosis.
Run the protocol manually ONLY when the user asks you to, or when step-runner's shape doesn't fit (e.g. a docs-only step with nothing to build). Then:
1. Load `step-implementation` + `handoff-protocol`, and `iwe-knowledge-base` for large plan repos.
2. Follow the step protocol phase by phase: orient (previous handoff + `NOTES.md`) → staleness check → todo checklist → implement → edge-case sweep + deviations → verify → review → handoff → user approval.
3. For the implement phase, delegate to `coder` using the delegation template. Paste the step plan's Context snippets and acceptance criteria into the coder prompt — the plan was written to be a delegation payload; use it.
4. Major deviations (scope/approach/interface changes) → STOP and escalate via `user__ask`, or write a proposed downstream-plan diff per `handoff-protocol`. Never silently absorb them.
5. **HARD STOP at the approval gate.** Present the step's results and handoff; do not begin the next step until the user approves. Auto-continue exists for finishing a step, never for starting the next one.
## Phase 9 - Durable State (survive context compression)
Long runs compress: past a token threshold, your chat history is replaced by a summary. Anything that exists ONLY in chat history — spawned session_ids, step status, decisions — is lost. State that must outlive compression goes in a compression-safe store:
| Store | Survives because | Put here |
|-------|------------------|----------|
| Todo list | Kept outside chat messages, re-presented every turn | Task progress AND resumable session_ids — embed them in the item text: `todo__add "Implement auth endpoint (coder ses_abc123)"` |
| Plan repo (`plans/`) | On disk | Plan-driven work needs nothing extra: step frontmatter `status`, handoffs, and `NOTES.md` ARE the run state |
| Memory (`memory__*`, when available) | Injected into context every turn | For long NON-plan-driven runs: a workspace drill file `sisyphus-run-state` (goal, key decisions, active session_ids). Set `expires` to tomorrow; delete it when the run completes |
Rules:
1. **Session_ids you may need to resume are never chat-only.** Record them in the todo item for that work the moment the spawn returns. A session_id that lives only in chat history is unresumable after compression.
2. **Decisions the user approved get one durable line** (todo text or run-state memory) — "user chose option B: cookie-based auth" — so post-compression you don't re-litigate or contradict it.
3. **Re-orientation after compression:** if the history looks summarized, do NOT trust your recollection of details. Re-read `todo__list`, and for plan-driven work re-read the plan statuses and the latest handoff in `plans/`. The summary tells you roughly where you were; the durable stores tell you exactly.
4. Do not hoard: run state is not knowledge. Never bloat `MEMORY.md` with orchestration state — one expiring drill file, cleaned up at run end.
## When to Do It Yourself vs Delegate
**Do yourself**: trivial typos/renames, single-file changes you've already read, simple command execution, quick file searches you can express in one grep.
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@@ -1,11 +0,0 @@
schemaVersion: '1'
kind: mixin
name: sisyphus-ddg
description: >
Allows Sisyphus to hit all domains since it utilizes the DuckDuckGo
MCP server. This allows the MCP server to actually perform web searches
on arbitrary domains and retrieve info for the agent.
network:
allowedDomains:
- '*'
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@@ -1,122 +0,0 @@
# Step-Runner
A graph-based agent that executes **one step** of a phased implementation
plan, with the step protocol from the `step-implementation` skill enforced
as graph edges rather than prose. Designed to be delegated to by
**[Sisyphus](../sisyphus/README.md)**; delegates implementation to
**[Coder](../coder/README.md)** and independent review to
**[code-reviewer](../code-reviewer/README.md)**.
It expects a plan repo authored per the `plan-authoring` skill:
```
plans/
steps/NN-<slug>.md # step plans with frontmatter (step/title/depends_on/status)
handoffs/NN-<slug>.md # written by this agent, validated by a deterministic gate
NOTES.md # rolling durable facts
```
## Workflow
```mermaid
flowchart TD
resolve_step{"resolve_step<br/>script"}
resolve_step -->|"deps satisfied"| orient
resolve_step -->|"deps unsatisfied"| gate_blocked
gate_blocked{{"gate_blocked<br/>approval"}}
gate_blocked -->|"yes"| orient
gate_blocked -->|"no"| end_blocked
orient["orient<br/>llm, read-only"] --> route_staleness
route_staleness{"route_staleness<br/>script"}
route_staleness -->|"major deviation"| gate_deviation
route_staleness -->|"else"| implement
gate_deviation{{"gate_deviation<br/>approval"}}
gate_deviation -->|"proceed"| implement
gate_deviation -->|"abort"| end_rejected
gate_deviation -->|"other (user guidance)"| implement
implement[["implement<br/>agent → coder"]] --> route_coder_result
route_coder_result{"route_coder_result<br/>script"}
route_coder_result -->|"CODER_COMPLETE"| verify_format_lint
route_coder_result -->|"REJECTED / FAILED"| end_failure
verify_format_lint{"verify_format_lint<br/>script"}
verify_format_lint -->|"pass"| verify_build
verify_format_lint -->|"fail"| fix_loop_gate
verify_build{"verify_build<br/>script"}
verify_build -->|"pass"| verify_tests
verify_build -->|"fail"| fix_loop_gate
verify_tests{"verify_tests<br/>script"}
verify_tests -->|"pass"| edge_case_sweep
verify_tests -->|"fail"| fix_loop_gate
fix_loop_gate{"fix_loop_gate<br/>script"}
fix_loop_gate -->|"budget left"| implement
fix_loop_gate -->|"budget spent"| end_failure
edge_case_sweep["edge_case_sweep<br/>llm"] --> route_sweep
route_sweep{"route_sweep<br/>script"}
route_sweep -->|"5+ files or boundary"| independent_review
route_sweep -->|"else"| write_handoff
independent_review[["independent_review<br/>agent → code-reviewer"]] --> route_review
route_review{"route_review<br/>script"}
route_review -->|"🔴 critical findings"| implement
route_review -->|"else"| write_handoff
write_handoff["write_handoff<br/>llm"] --> check_handoff
check_handoff{"check_handoff<br/>script"}
check_handoff -->|"schema valid"| gate_user_review
check_handoff -->|"one retry"| write_handoff
gate_user_review{{"gate_user_review<br/>approval"}}
gate_user_review -->|"approve"| end_success
gate_user_review -->|"revise"| get_revision
gate_user_review -->|"other (comments)"| revise_from_choice
get_revision[/"get_revision<br/>input"/] --> implement
revise_from_choice{"revise_from_choice<br/>script"} --> implement
end_success(["end_success<br/>STEP_COMPLETE"])
end_blocked(["end_blocked<br/>STEP_BLOCKED"])
end_rejected(["end_rejected<br/>STEP_REJECTED"])
end_failure(["end_failure<br/>STEP_FAILED"])
```
End nodes emit sentinel outcomes for the caller:
- `STEP_COMPLETE` — step implemented, verified, handoff written, user approved.
- `STEP_BLOCKED``depends_on` unsatisfied and the user declined to proceed.
- `STEP_REJECTED` — user aborted at the deviation gate, or the coder's plan
was rejected at its approval gate.
- `STEP_FAILED` — coder failed, the step-level fix budget was exhausted, or
the handoff failed validation twice.
## Usage
```sh
# From the project root: run the next in-progress/pending step
coyote -a step-runner "Execute the next step"
# A specific step (also parsed from the prompt: "execute step 3")
coyote -a step-runner --agent-variable step 3 "Execute step 3"
# Plan repo somewhere else
coyote -a step-runner --agent-variable plans_dir docs/plans "Execute the next step"
```
**Invoke from the project root.** The coder sub-agent resolves its own
`project_dir` from the invocation directory; overriding `project_dir` here
does not propagate to the spawned coder.
## Tuning
`graph.yaml` `initial_state` exposes:
- `max_fix_attempts` (default `2`) — step-level fix budget (the coder has
its own internal budget of 3).
- `max_review_attempts` (default `1`) — bounded 🔴-finding fix loops after
independent review.
Environment overrides honored by the script nodes:
- `FORMAT_CMD` / `LINT_CMD` — formatting and linting (otherwise a per-type
heuristic formats, and linting defers to the build/check command).
- `BUILD_CMD` / `TEST_CMD` — skip project-type detection (same as coder).
- `STEP_AUTOAPPROVE=1` — bypass the deviation gate (non-interactive runs).
- `STEP_SKIP_REVIEW=1` — never spawn the independent reviewer.
The final user approval gate is never bypassed by an environment variable -
it is the point of the workflow.
-606
View File
@@ -1,606 +0,0 @@
name: step-runner
description: |
Executes ONE step of a phased implementation plan (plans/ repo) with the
step protocol enforced as graph edges: orient -> staleness check ->
implement (coder) -> verify -> edge-case sweep -> optional independent
review -> evidence-backed handoff -> user approval gate. Designed to be
delegated to by sisyphus.
version: '1.0'
global_tools:
- ast_grep.sh
- fs_cat.sh
- fs_ls.sh
- fs_write.sh
- fs_patch.sh
- execute_command.sh
skills_enabled: true
enabled_skills:
- step-implementation
- handoff-protocol
- code-review
- ai-slop-remover
variables:
- name: project_dir
description: |
Absolute path to the project directory. Defaults to "." (the directory
coyote was invoked from). The coder sub-agent resolves its own
project_dir the same way, so invoke step-runner FROM the project root
unless you override this for both.
default: '.'
- name: plans_dir
description: |
Path to the plan repo. Relative paths resolve against project_dir.
Expected layout: <plans_dir>/steps/NN-<slug>.md,
<plans_dir>/handoffs/, <plans_dir>/NOTES.md.
default: 'plans'
- name: step
description: |
Which step to execute: a step number, or "next" to pick the first
in-progress (resume) or pending step plan.
default: 'next'
settings:
max_loop_iterations: 20
log_state_snapshots: true
validate_before_run: true
timeout: 7200
initial_state:
project_dir: ''
plans_dir: ''
step_number: 0
step_slug: ''
step_title: ''
step_plan_path: ''
step_plan: ''
prev_handoff_path: '(none)'
prev_handoff: '(none - this is the first step)'
notes_path: ''
notes: '(none)'
handoff_path: ''
blocking_reason: ''
plan_summary: ''
implementation_brief: ''
staleness_report: ''
has_major_deviation: false
deviation_summary: ''
user_feedback: ''
fix_instructions: ''
fix_attempts: 0
max_fix_attempts: 2
coder_result: ''
format_output: ''
lint_ok: true
lint_output: ''
build_ok: true
build_output: ''
tests_ok: true
tests_output: ''
edge_case_report: ''
downstream_updates: ''
needs_independent_review: false
review_report: ''
review_attempts: 0
max_review_attempts: 1
handoff_attempts: 0
handoff_fix: ''
step_summary: ''
start: resolve_step
nodes:
resolve_step:
id: resolve_step
type: script
description: |
Locate the step plan, previous handoff, and NOTES.md; parse frontmatter;
check depends_on satisfaction against existing handoffs; mark the plan
in-progress. Routes to gate_blocked when dependencies are unsatisfied.
script: scripts/resolve_step.sh
timeout: 30
fallback: end_failure
next: orient
gate_blocked:
id: gate_blocked
type: approval
description: Escalate unsatisfied dependencies instead of building on missing ground.
question: |
Step {{step_number}} ({{step_title}}) is BLOCKED:
{{blocking_reason}}
Proceed anyway?
options:
- 'yes'
- 'no'
routes:
'yes': orient
'no': end_blocked
on_other: end_blocked
orient:
id: orient
type: llm
description: |
Read-only orientation and staleness check: merge the previous handoff's
directives with the step plan, then verify the plan's assumptions
against the CURRENT codebase before any edit.
skills_enabled: true
enabled_skills:
- step-implementation
instructions: |
You are orienting for one step of a phased implementation plan. Load
`step-implementation` and apply its Orient and Staleness-check phases.
You are READ-ONLY in this node: no edits, no fixes.
1. Read the previous handoff (below). Note directives aimed at this
step, deviations that changed the codebase, and bare assertions
that need re-verification.
2. Staleness-check the step plan against the code at {{project_dir}}:
grep the symbols it references (via execute_command), read its
Context snippets at their claimed locations with fs_cat, confirm
its Test commands exist.
3. Classify discrepancies per the skill's deviation table: minor
(mechanics differ; correct silently in the brief) vs major (scope,
approach, interfaces, or a later step's assumptions affected).
Produce `implementation_brief`: the corrected, self-contained marching
orders for the implementer - plan tasks in order, handoff directives
applied, minor staleness corrections folded in, acceptance criteria
restated. The implementer sees ONLY the step plan plus your brief.
prompt: |
## Step plan ({{step_plan_path}})
{{step_plan}}
## Previous handoff ({{prev_handoff_path}})
{{prev_handoff}}
## Rolling project notes
{{notes}}
tools:
- fs_cat
- fs_ls
- execute_command
max_iterations: 20
output_schema:
type: object
properties:
plan_summary:
type: string
description: 1-3 sentences summarizing what this step delivers
implementation_brief:
type: string
description: Corrected, self-contained instructions for the implementer
staleness_report:
type: string
description: Findings from checking plan assumptions against current code; "clean" if none
has_major_deviation:
type: boolean
description: True when a discrepancy changes scope, approach, or interfaces
deviation_summary:
type: string
description: Major deviations only, with the plan claim vs current reality. Empty when none
required:
[
plan_summary,
implementation_brief,
staleness_report,
has_major_deviation,
deviation_summary,
]
fallback: end_failure
next: route_staleness
route_staleness:
id: route_staleness
type: script
description: Major deviation -> user gate; otherwise straight to implement.
script: scripts/route_staleness.sh
timeout: 5
fallback: implement
gate_deviation:
id: gate_deviation
type: approval
description: Major deviations are never silently absorbed - the user decides.
question: |
Step {{step_number}} ({{step_title}}): the plan no longer matches the
codebase in a way that changes scope or approach.
{{deviation_summary}}
Staleness report:
{{staleness_report}}
Proceed with the corrected brief? (Answer with anything else to give
your own guidance to the implementer.)
options:
- 'proceed'
- 'abort'
routes:
'proceed': implement
'abort': end_rejected
on_other: implement
state_updates:
user_feedback: '{{choice}}'
implement:
id: implement
type: agent
description: |
Delegate implementation to the coder graph agent, which runs its own
plan -> implement -> build -> tests -> self-review fix-loop internally.
agent: coder
prompt: |
## TASK
Execute step {{step_number}} ({{step_title}}) of a phased implementation
plan for the project at {{project_dir}}.
## EXPECTED OUTCOME
Every task in the step plan below is implemented and its acceptance
criteria are met. Tests are derived from the Acceptance criteria
section (not from the implementation). Build and full test suite pass.
## MUST DO
- Follow the Orientation brief below - it supersedes the raw plan where
they disagree (it folds in corrections from the staleness check).
- Match the patterns pasted in the step plan's Context section.
- Derive tests from the plan's Acceptance criteria.
## MUST NOT DO
- Do not touch anything listed in the plan's Out of scope section.
- Do not modify files under {{plans_dir}}.
- Do not implement work belonging to other steps.
## CONTEXT
### Step plan
{{step_plan}}
### Orientation brief (handoff directives + staleness corrections applied)
{{implementation_brief}}
### User guidance (if any)
{{user_feedback}}
### Fix loop status (empty on first attempt)
{{fix_instructions}}
timeout: 3600
state_updates:
coder_result: '{{output}}'
next: route_coder_result
route_coder_result:
id: route_coder_result
type: script
description: Route on the coder sentinel - COMPLETE verifies, REJECTED/FAILED terminate.
script: scripts/route_coder_result.sh
timeout: 5
fallback: end_failure
verify_format_lint:
id: verify_format_lint
type: script
description: |
Format BEFORE evidence collection (FORMAT_CMD override or per-type
heuristic), then lint (LINT_CMD, when configured). Lint failure routes
to the fix loop.
script: scripts/verify_format_lint.sh
timeout: 300
fallback: fix_loop_gate
verify_build:
id: verify_build
type: script
description: Step-level build/typecheck evidence, collected AFTER formatting.
script: scripts/verify_build.sh
timeout: 600
fallback: fix_loop_gate
verify_tests:
id: verify_tests
type: script
description: FULL test suite - regressions in untouched code fail the step too.
script: scripts/verify_tests.sh
timeout: 1200
fallback: fix_loop_gate
fix_loop_gate:
id: fix_loop_gate
type: script
description: |
Step-level fix budget (the coder already ran its own internal fix
loop). Loops to implement with fix_instructions, or ends as failure.
script: scripts/fix_loop_gate.sh
timeout: 5
fallback: end_failure
edge_case_sweep:
id: edge_case_sweep
type: llm
description: |
Post-implementation sweep: missed spots, edge cases, downstream plan
implications. May annotate downstream plans' Edge cases sections
(annotate vs propose per handoff-protocol). Also judges whether the
change warrants an independent review pass.
skills_enabled: true
enabled_skills:
- step-implementation
- handoff-protocol
instructions: |
The implementation for this step just passed build and tests. Load
`step-implementation` (edge-case sweep phase) and `handoff-protocol`
(annotate-vs-propose rules), then:
1. Read the changed code (the coder result below names the files).
Look for edge cases the plan missed: empty inputs, error paths,
concurrency, partial failure, compat.
2. For each edge case belonging to a LATER step: check that step's
plan under {{plans_dir}}/steps/. If its Edge cases section already
covers it, done. If not, append an entry to that section via
fs_patch - touch NOTHING else in the file.
3. NEVER edit a later plan's Objective, Tasks, Acceptance criteria,
or Out of scope. Scope-affecting changes become proposed diffs in
`downstream_updates` instead.
4. Set needs_independent_review=true when the change touched 5+ files
or crosses architectural boundaries (auth, public APIs, schema,
security-sensitive paths).
Be terse. Findings, not prose.
prompt: |
## Coder result
{{coder_result}}
## Step plan
{{step_plan}}
## Staleness report from orientation
{{staleness_report}}
tools:
- fs_cat
- fs_ls
- fs_patch
- execute_command
max_iterations: 20
output_schema:
type: object
properties:
edge_case_report:
type: string
description: Edge cases discovered - both handled and punted, one per line. "none" if empty
downstream_updates:
type: string
description: Annotations made (plan file + section) and proposed diffs for scope-affecting changes. "none" if empty
needs_independent_review:
type: boolean
required: [edge_case_report, downstream_updates, needs_independent_review]
fallback: write_handoff
next: route_sweep
route_sweep:
id: route_sweep
type: script
description: Broad or boundary-crossing changes get an independent reviewer.
script: scripts/route_sweep.sh
timeout: 5
fallback: write_handoff
independent_review:
id: independent_review
type: agent
description: Independent review pass - the author's self-review cannot catch its own rationalizations.
agent: code-reviewer
prompt: |
Review the changes produced for step {{step_number}} ({{step_title}})
of a phased implementation plan in {{project_dir}}.
What the step was supposed to do:
{{plan_summary}}
Coder summary (names the modified/created files):
{{coder_result}}
Review the changed files against the step plan's acceptance criteria.
Preserve severity tags in your findings.
timeout: 1200
state_updates:
review_report: '{{output}}'
next: route_review
route_review:
id: route_review
type: script
description: Critical findings loop back to implement (bounded); otherwise proceed to handoff.
script: scripts/route_review.sh
timeout: 5
fallback: write_handoff
write_handoff:
id: write_handoff
type: llm
description: |
Write the evidence-backed handoff per handoff-protocol and append
durable facts to NOTES.md. The completion gate (check_handoff)
verifies the document afterward.
skills_enabled: true
enabled_skills:
- handoff-protocol
- ai-slop-remover
instructions: |
Load `handoff-protocol` and follow its writer schema EXACTLY: the
frontmatter (step, title, result) and all eight sections, writing
"None" rather than omitting a section.
Write the handoff to {{handoff_path}} with fs_write. Paste the
verification evidence below verbatim into the Evidence section -
commands, exit codes, decisive output lines. Deviations come from the
staleness report, gate decisions, and fix loop history. Downstream
plan updates come from the sweep results.
Then append durable, step-independent facts (if any) to {{notes_path}}
- create the file if missing, never rewrite existing entries.
If "Gate feedback" below is non-empty, a previous handoff attempt
failed validation - fix exactly what it lists.
prompt: |
## Step
{{step_number}} ({{step_title}}) - plan at {{step_plan_path}}
## Plan summary
{{plan_summary}}
## Coder result
{{coder_result}}
## Staleness report / deviations
{{staleness_report}}
Major deviation summary (if any): {{deviation_summary}}
User guidance given (if any): {{user_feedback}}
Fix loop attempts used: {{fix_attempts}} of {{max_fix_attempts}}
## Edge cases discovered
{{edge_case_report}}
## Downstream plan updates
{{downstream_updates}}
## Independent review report (if any)
{{review_report}}
## Verification evidence (paste verbatim)
### Format
{{format_output}}
### Lint
{{lint_output}}
### Build
{{build_output}}
### Tests
{{tests_output}}
## Gate feedback
{{handoff_fix}}
tools:
- fs_cat
- fs_ls
- fs_write
- fs_patch
max_iterations: 15
output_schema:
type: object
properties:
step_summary:
type: string
description: 3-6 sentence summary of the step for the user's approval decision - what was done, deviations, anything needing their attention
required: [step_summary]
fallback: end_failure
next: check_handoff
check_handoff:
id: check_handoff
type: script
description: |
Deterministic completion gate - handoff exists with frontmatter and all
required sections. On success, marks the step plan status complete.
One retry back to write_handoff, then failure.
script: scripts/check_handoff.sh
timeout: 10
fallback: end_failure
gate_user_review:
id: gate_user_review
type: approval
description: The hard stop - the next step never starts without explicit approval.
question: |
## Step {{step_number}} ({{step_title}}) - ready for review
{{step_summary}}
Handoff: {{handoff_path}}
Build: {{build_ok}} | Tests: {{tests_ok}} | Fix attempts: {{fix_attempts}}/{{max_fix_attempts}}
Approve this step? (Answer with anything else to send revision
instructions straight to the implementer.)
options:
- 'approve'
- 'revise'
routes:
'approve': end_success
'revise': get_revision
on_other: revise_from_choice
state_updates:
user_feedback: '{{choice}}'
get_revision:
id: get_revision
type: input
description: Collect revision instructions, then loop back through implement -> verify -> handoff.
question: 'What should change? Your comments go to the implementer verbatim.'
validation: 'len(input) > 0'
state_updates:
fix_instructions: '{{input}}'
next: implement
revise_from_choice:
id: revise_from_choice
type: script
description: Free-form approval answers are treated as revision instructions.
script: scripts/revise_from_choice.sh
timeout: 5
fallback: get_revision
end_success:
id: end_success
type: end
output: |
STEP_COMPLETE
Step: {{step_number}} ({{step_title}})
Plan: {{step_plan_path}}
Handoff: {{handoff_path}}
Build: passed | Tests: passed | Fix attempts: {{fix_attempts}}/{{max_fix_attempts}}
{{step_summary}}
Downstream plan updates:
{{downstream_updates}}
end_blocked:
id: end_blocked
type: end
output: |
STEP_BLOCKED
Step: {{step_number}} ({{step_title}})
Reason:
{{blocking_reason}}
end_rejected:
id: end_rejected
type: end
output: |
STEP_REJECTED
Step: {{step_number}} ({{step_title}})
Rejected at: deviation gate or coder approval gate.
Deviation summary:
{{deviation_summary}}
Coder result (if it ran):
{{coder_result}}
end_failure:
id: end_failure
type: end
output: |
STEP_FAILED
Step: {{step_number}} ({{step_title}})
Fix attempts: {{fix_attempts}}/{{max_fix_attempts}}
Blocking reason (if resolution failed): {{blocking_reason}}
Coder result:
{{coder_result}}
Last build output:
{{build_output}}
Last tests output:
{{tests_output}}
@@ -1,54 +0,0 @@
#!/usr/bin/env bash
set -uo pipefail
if [[ -n "${GRAPH_STATE_FILE:-}" ]]; then
state=$(cat "$GRAPH_STATE_FILE")
elif [[ -n "${GRAPH_STATE:-}" ]]; then
state="$GRAPH_STATE"
else
state='{}'
fi
handoff_path=$(echo "$state" | jq -r '.handoff_path // ""')
step_plan_path=$(echo "$state" | jq -r '.step_plan_path // ""')
handoff_attempts=$(echo "$state" | jq -r '.handoff_attempts // 0')
problems=""
if [[ ! -f "$handoff_path" ]]; then
problems="- handoff file does not exist at $handoff_path"$'\n'
else
content=$(cat "$handoff_path")
grep -qE '^result:[[:space:]]*(complete|partial|blocked)' <<< "$content" \
|| problems+="- frontmatter is missing 'result: complete|partial|blocked'"$'\n'
for section in "Summary" "Completed" "Not completed" "Deviations" "Downstream plan updates" "Edge cases discovered" "Evidence" "Notes for next step"; do
grep -qE "^##[[:space:]]+${section}" <<< "$content" \
|| problems+="- missing required section: ## ${section}"$'\n'
done
fi
if [[ -z "$problems" ]]; then
if [[ -f "$step_plan_path" ]]; then
tmp=$(mktemp)
awk 'BEGIN{n=0} /^---[[:space:]]*$/{n++; print; next} n==1 && /^status:/{print "status: complete"; next} {print}' "$step_plan_path" > "$tmp" && mv "$tmp" "$step_plan_path"
fi
jq -nc '{"handoff_fix": "", "_next": "gate_user_review"}'
exit 0
fi
if (( handoff_attempts >= 1 )); then
jq -nc \
--arg br "Handoff failed validation twice. Problems:
$problems" \
'{"blocking_reason": $br, "_next": "end_failure"}'
exit 0
fi
jq -nc \
--arg hf "The previous handoff attempt failed validation. Fix exactly these problems:
$problems" \
'{
"handoff_attempts": 1,
"handoff_fix": $hf,
"_next": "write_handoff"
}'
@@ -1,60 +0,0 @@
#!/usr/bin/env bash
set -euo pipefail
if [[ -n "${GRAPH_STATE_FILE:-}" ]]; then
state=$(cat "$GRAPH_STATE_FILE")
elif [[ -n "${GRAPH_STATE:-}" ]]; then
state="$GRAPH_STATE"
else
state='{}'
fi
fix_attempts=$(echo "$state" | jq -r '.fix_attempts // 0')
max_fix_attempts=$(echo "$state" | jq -r '.max_fix_attempts // 2')
lint_ok=$(echo "$state" | jq -r '.lint_ok | if . == null then "true" else (. | tostring) end')
build_ok=$(echo "$state" | jq -r '.build_ok | if . == null then "true" else (. | tostring) end')
tests_ok=$(echo "$state" | jq -r '.tests_ok | if . == null then "true" else (. | tostring) end')
lint_output=$(echo "$state" | jq -r '.lint_output // ""')
build_output=$(echo "$state" | jq -r '.build_output // ""')
tests_output=$(echo "$state" | jq -r '.tests_output // ""')
if (( fix_attempts >= max_fix_attempts )); then
jq -nc \
--argjson n "$fix_attempts" \
'{
"fix_attempts": $n,
"_next": "end_failure"
}'
exit 0
fi
next_attempts=$((fix_attempts + 1))
if [[ "$lint_ok" != "true" ]]; then
stage="lint"
output="$lint_output"
elif [[ "$build_ok" != "true" ]]; then
stage="build"
output="$build_output"
elif [[ "$tests_ok" != "true" ]]; then
stage="full test suite"
output="$tests_output"
else
stage="verification"
output="fix_loop_gate was reached but no failing stage was recorded. Re-run verification."
fi
fix_instructions=$(printf '## Fix loop status (step-level attempt %d of %d)\n\nThe implementation passed the coder'"'"'s internal checks but failed step-level verification at the %s stage.\n\nOutput:\n```\n%s\n```\n\nIdentify the minimal fix and apply it. Do not refactor. Regressions in untouched code caused by this change are in scope.' \
"$next_attempts" "$max_fix_attempts" "$stage" "$output")
jq -nc \
--argjson n "$next_attempts" \
--arg 'fi' "$fix_instructions" \
'{
"fix_attempts": $n,
"fix_instructions": $fi,
"lint_ok": true,
"build_ok": true,
"tests_ok": true,
"_next": "implement"
}'
@@ -1,152 +0,0 @@
#!/usr/bin/env bash
set -uo pipefail
if [[ -n "${GRAPH_STATE_FILE:-}" ]]; then
state=$(cat "$GRAPH_STATE_FILE")
elif [[ -n "${GRAPH_STATE:-}" ]]; then
state="$GRAPH_STATE"
else
state='{}'
fi
fail() {
jq -nc --arg r "$1" '{"blocking_reason": $r, "_next": "end_failure"}'
exit 0
}
project_dir="${LLM_AGENT_VAR_PROJECT_DIR:-.}"
project_dir=$(cd "$project_dir" 2>/dev/null && pwd) || fail "project_dir does not exist: $project_dir"
plans_dir="${LLM_AGENT_VAR_PLANS_DIR:-plans}"
[[ "$plans_dir" != /* ]] && plans_dir="$project_dir/$plans_dir"
steps_dir="$plans_dir/steps"
handoffs_dir="$plans_dir/handoffs"
notes_path="$plans_dir/NOTES.md"
[[ -d "$steps_dir" ]] || fail "No step plans directory at $steps_dir (expected <plans_dir>/steps/NN-<slug>.md)"
frontmatter() {
awk '/^---[[:space:]]*$/{n++; next} n==1{print} n>=2{exit}' "$1"
}
fm_value() {
echo "$1" | grep -E "^$2:" | head -1 | sed -E "s/^$2:[[:space:]]*//" | sed -E 's/^["'"'"']|["'"'"']$//g'
}
step="${LLM_AGENT_VAR_STEP:-next}"
if [[ "$step" == "next" ]]; then
prompt_step=$(echo "$state" | jq -r '.initial_prompt // ""' | grep -oiE 'step[[:space:]#:]*[0-9]+' | head -1 | grep -oE '[0-9]+' || true)
[[ -n "$prompt_step" ]] && step="$prompt_step"
fi
plan_file=""
if [[ "$step" == "next" ]]; then
first_pending=""
while IFS= read -r f; do
st=$(fm_value "$(frontmatter "$f")" "status")
if [[ "$st" == "in-progress" ]]; then
plan_file="$f"
break
fi
[[ -z "$first_pending" && ( "$st" == "pending" || -z "$st" ) ]] && first_pending="$f"
done < <(find "$steps_dir" -maxdepth 1 -name '*.md' | sort)
[[ -z "$plan_file" ]] && plan_file="$first_pending"
[[ -z "$plan_file" ]] && fail "No in-progress or pending step plans in $steps_dir"
else
[[ "$step" =~ ^[0-9]+$ ]] || fail "step must be a number or 'next'; got: $step"
padded=$(printf '%02d' "$((10#$step))")
plan_file=$(find "$steps_dir" -maxdepth 1 \( -name "${padded}-*.md" -o -name "${step}-*.md" \) | sort | head -1)
[[ -n "$plan_file" ]] || fail "No step plan matching step $step in $steps_dir"
fi
bn=$(basename "$plan_file" .md)
num_part="${bn%%-*}"
[[ "$num_part" =~ ^[0-9]+$ ]] || fail "Step plan filename must start with a number: $bn"
step_number=$((10#$num_part))
step_slug="${bn#*-}"
fm=$(frontmatter "$plan_file")
step_title=$(fm_value "$fm" "title")
[[ -z "$step_title" ]] && step_title="$step_slug"
deps=$(echo "$fm" | awk '/^depends_on:/{f=1; print; next} f && /^[[:space:]]*-/{print; next} f{exit}' | grep -oE '[0-9]+' || true)
unsatisfied=""
for dep in $deps; do
dep_padded=$(printf '%02d' "$((10#$dep))")
dep_handoff=$(find "$handoffs_dir" -maxdepth 1 \( -name "${dep_padded}-*.md" -o -name "${dep}-*.md" \) 2>/dev/null | sort | head -1)
if [[ -z "$dep_handoff" ]]; then
unsatisfied+="- step $dep: no handoff found (step not executed?)"$'\n'
continue
fi
dep_result=$(fm_value "$(frontmatter "$dep_handoff")" "result")
if [[ "$dep_result" != "complete" ]]; then
unsatisfied+="- step $dep: handoff result is '$dep_result' (not complete): $dep_handoff"$'\n'
fi
done
prev_handoff_path="(none)"
prev_handoff="(none - this is the first step)"
prev_file=""
prev_num=0
while IFS= read -r h; do
hn="${h##*/}"
hn="${hn%%-*}"
[[ "$hn" =~ ^[0-9]+$ ]] || continue
n=$((10#$hn))
if (( n < step_number && n >= prev_num )); then
prev_num=$n
prev_file="$h"
fi
done < <(find "$handoffs_dir" -maxdepth 1 -name '*.md' 2>/dev/null | sort)
if [[ -n "$prev_file" ]]; then
prev_handoff_path="$prev_file"
prev_handoff=$(head -c 16000 "$prev_file")
fi
notes="(none)"
[[ -f "$notes_path" ]] && notes=$(head -c 8000 "$notes_path")
step_plan=$(head -c 24000 "$plan_file")
handoff_path="$handoffs_dir/$(basename "$plan_file")"
tmp=$(mktemp)
awk 'BEGIN{n=0} /^---[[:space:]]*$/{n++; print; next} n==1 && /^status:/{print "status: in-progress"; next} {print}' "$plan_file" > "$tmp" && mv "$tmp" "$plan_file"
next_node="orient"
blocking_reason=""
if [[ -n "$unsatisfied" ]]; then
next_node="gate_blocked"
blocking_reason="Unsatisfied dependencies:"$'\n'"$unsatisfied"
fi
jq -nc \
--arg pd "$project_dir" \
--arg pl "$plans_dir" \
--argjson sn "$step_number" \
--arg ss "$step_slug" \
--arg st "$step_title" \
--arg spp "$plan_file" \
--arg sp "$step_plan" \
--arg php "$prev_handoff_path" \
--arg ph "$prev_handoff" \
--arg np "$notes_path" \
--arg no "$notes" \
--arg hp "$handoff_path" \
--arg br "$blocking_reason" \
--arg nx "$next_node" \
'{
"project_dir": $pd,
"plans_dir": $pl,
"step_number": $sn,
"step_slug": $ss,
"step_title": $st,
"step_plan_path": $spp,
"step_plan": $sp,
"prev_handoff_path": $php,
"prev_handoff": $ph,
"notes_path": $np,
"notes": $no,
"handoff_path": $hp,
"blocking_reason": $br,
"_next": $nx
}'
@@ -1,27 +0,0 @@
#!/usr/bin/env bash
set -euo pipefail
if [[ -n "${GRAPH_STATE_FILE:-}" ]]; then
state=$(cat "$GRAPH_STATE_FILE")
elif [[ -n "${GRAPH_STATE:-}" ]]; then
state="$GRAPH_STATE"
else
state='{}'
fi
feedback=$(echo "$state" | jq -r '.user_feedback // ""')
if [[ -z "$feedback" ]]; then
jq -nc '{"_next": "get_revision"}'
exit 0
fi
fix_instructions=$(printf '## Revision requested by the user at the step approval gate\n\nAddress these comments with minimal edits, then the step re-verifies and the handoff is rewritten:\n\n%s' \
"$feedback")
jq -nc \
--arg 'fi' "$fix_instructions" \
'{
"fix_instructions": $fi,
"_next": "implement"
}'
@@ -1,27 +0,0 @@
#!/usr/bin/env bash
set -euo pipefail
if [[ -n "${GRAPH_STATE_FILE:-}" ]]; then
state=$(cat "$GRAPH_STATE_FILE")
elif [[ -n "${GRAPH_STATE:-}" ]]; then
state="$GRAPH_STATE"
else
state='{}'
fi
coder_result=$(echo "$state" | jq -r '.coder_result // ""')
case "$coder_result" in
*CODER_COMPLETE*)
jq -nc '{"_next": "verify_format_lint"}'
;;
*CODER_REJECTED*)
jq -nc '{"_next": "end_rejected"}'
;;
*CODER_FAILED*)
jq -nc '{"blocking_reason": "coder fix-loop exhausted; see coder result", "_next": "end_failure"}'
;;
*)
jq -nc '{"blocking_reason": "coder returned no recognizable sentinel (expected CODER_COMPLETE / CODER_REJECTED / CODER_FAILED)", "_next": "end_failure"}'
;;
esac
@@ -1,38 +0,0 @@
#!/usr/bin/env bash
set -euo pipefail
if [[ -n "${GRAPH_STATE_FILE:-}" ]]; then
state=$(cat "$GRAPH_STATE_FILE")
elif [[ -n "${GRAPH_STATE:-}" ]]; then
state="$GRAPH_STATE"
else
state='{}'
fi
review_report=$(echo "$state" | jq -r '.review_report // ""')
review_attempts=$(echo "$state" | jq -r '.review_attempts // 0')
max_review_attempts=$(echo "$state" | jq -r '.max_review_attempts // 1')
if ! grep -qF "🔴" <<< "$review_report"; then
jq -nc '{"_next": "write_handoff"}'
exit 0
fi
if (( review_attempts >= max_review_attempts )); then
jq -nc '{"_next": "write_handoff"}'
exit 0
fi
next_review=$((review_attempts + 1))
fix_instructions=$(printf '## Independent review findings (attempt %d of %d)\n\nAn independent reviewer flagged CRITICAL (🔴) findings. Address ONLY the 🔴 findings with minimal edits. Do not refactor unrelated code.\n\n%s' \
"$next_review" "$max_review_attempts" "$review_report")
jq -nc \
--argjson n "$next_review" \
--arg 'fi' "$fix_instructions" \
'{
"review_attempts": $n,
"fix_instructions": $fi,
"needs_independent_review": false,
"_next": "implement"
}'
@@ -1,23 +0,0 @@
#!/usr/bin/env bash
set -euo pipefail
if [[ -n "${GRAPH_STATE_FILE:-}" ]]; then
state=$(cat "$GRAPH_STATE_FILE")
elif [[ -n "${GRAPH_STATE:-}" ]]; then
state="$GRAPH_STATE"
else
state='{}'
fi
has_major=$(echo "$state" | jq -r '.has_major_deviation // false')
if [[ "${STEP_AUTOAPPROVE:-0}" == "1" ]]; then
jq -nc '{"_next": "implement"}'
exit 0
fi
if [[ "$has_major" == "true" ]]; then
jq -nc '{"_next": "gate_deviation"}'
else
jq -nc '{"_next": "implement"}'
fi
@@ -1,23 +0,0 @@
#!/usr/bin/env bash
set -euo pipefail
if [[ -n "${GRAPH_STATE_FILE:-}" ]]; then
state=$(cat "$GRAPH_STATE_FILE")
elif [[ -n "${GRAPH_STATE:-}" ]]; then
state="$GRAPH_STATE"
else
state='{}'
fi
needs_review=$(echo "$state" | jq -r '.needs_independent_review // false')
if [[ "${STEP_SKIP_REVIEW:-0}" == "1" ]]; then
jq -nc '{"_next": "write_handoff"}'
exit 0
fi
if [[ "$needs_review" == "true" ]]; then
jq -nc '{"_next": "independent_review"}'
else
jq -nc '{"_next": "write_handoff"}'
fi
@@ -1,57 +0,0 @@
#!/usr/bin/env bash
set -uo pipefail
# shellcheck disable=SC1091
source "$(dirname "$0")/../../.shared/utils.sh"
if [[ -n "${GRAPH_STATE_FILE:-}" ]]; then
state=$(cat "$GRAPH_STATE_FILE")
elif [[ -n "${GRAPH_STATE:-}" ]]; then
state="$GRAPH_STATE"
else
state='{}'
fi
project_dir=$(echo "$state" | jq -r '.project_dir // "."')
if [[ -n "${BUILD_CMD:-}" ]]; then
cmd="$BUILD_CMD"
else
project_info=$(detect_project "$project_dir")
cmd=$(echo "$project_info" | jq -r '.check // .build // ""')
fi
if [[ -z "$cmd" || "$cmd" == "null" ]]; then
jq -nc '{
"build_ok": true,
"build_output": "(no build/check command available for this project type)",
"_next": "verify_tests"
}'
exit 0
fi
exit_code=0
output=$(cd "$project_dir" && eval "$cmd" 2>&1) || exit_code=$?
if (( exit_code == 0 )); then
jq -nc \
--arg out "Ran: $cmd
$output" \
'{
"build_ok": true,
"build_output": $out,
"_next": "verify_tests"
}'
else
jq -nc \
--arg out "Ran: $cmd
Exit code: $exit_code
$output" \
'{
"build_ok": false,
"build_output": $out,
"_next": "fix_loop_gate"
}'
fi
@@ -1,79 +0,0 @@
#!/usr/bin/env bash
set -uo pipefail
# shellcheck disable=SC1091
source "$(dirname "$0")/../../.shared/utils.sh"
if [[ -n "${GRAPH_STATE_FILE:-}" ]]; then
state=$(cat "$GRAPH_STATE_FILE")
elif [[ -n "${GRAPH_STATE:-}" ]]; then
state="$GRAPH_STATE"
else
state='{}'
fi
project_dir=$(echo "$state" | jq -r '.project_dir // "."')
project_type=$(detect_project "$project_dir" | jq -r '.type // "unknown"')
format_cmd="${FORMAT_CMD:-}"
if [[ -z "$format_cmd" ]]; then
case "$project_type" in
rust) format_cmd="cargo fmt" ;;
go) format_cmd="gofmt -w ." ;;
python) command -v ruff &>/dev/null && format_cmd="ruff format ." ;;
esac
fi
if [[ -z "$format_cmd" ]]; then
format_output="(no format command configured for project type '$project_type'; skipped. Set FORMAT_CMD to enable.)"
else
fmt_rc=0
fmt_out=$(cd "$project_dir" && eval "$format_cmd" 2>&1) || fmt_rc=$?
format_output="Ran: $format_cmd
Exit code: $fmt_rc
$fmt_out"
fi
lint_cmd="${LINT_CMD:-}"
if [[ -z "$lint_cmd" ]]; then
jq -nc \
--arg fo "$format_output" \
'{
"format_output": $fo,
"lint_ok": true,
"lint_output": "(no LINT_CMD configured; linting is covered by the build/check command)",
"_next": "verify_build"
}'
exit 0
fi
lint_rc=0
lint_out=$(cd "$project_dir" && eval "$lint_cmd" 2>&1) || lint_rc=$?
if (( lint_rc == 0 )); then
jq -nc \
--arg fo "$format_output" \
--arg lo "Ran: $lint_cmd
$lint_out" \
'{
"format_output": $fo,
"lint_ok": true,
"lint_output": $lo,
"_next": "verify_build"
}'
else
jq -nc \
--arg fo "$format_output" \
--arg lo "Ran: $lint_cmd
Exit code: $lint_rc
$lint_out" \
'{
"format_output": $fo,
"lint_ok": false,
"lint_output": $lo,
"_next": "fix_loop_gate"
}'
fi
@@ -1,57 +0,0 @@
#!/usr/bin/env bash
set -uo pipefail
# shellcheck disable=SC1091
source "$(dirname "$0")/../../.shared/utils.sh"
if [[ -n "${GRAPH_STATE_FILE:-}" ]]; then
state=$(cat "$GRAPH_STATE_FILE")
elif [[ -n "${GRAPH_STATE:-}" ]]; then
state="$GRAPH_STATE"
else
state='{}'
fi
project_dir=$(echo "$state" | jq -r '.project_dir // "."')
if [[ -n "${TEST_CMD:-}" ]]; then
cmd="$TEST_CMD"
else
project_info=$(detect_project "$project_dir")
cmd=$(echo "$project_info" | jq -r '.test // ""')
fi
if [[ -z "$cmd" || "$cmd" == "null" ]]; then
jq -nc '{
"tests_ok": true,
"tests_output": "(no test command available for this project type)",
"_next": "edge_case_sweep"
}'
exit 0
fi
exit_code=0
output=$(cd "$project_dir" && eval "$cmd" 2>&1) || exit_code=$?
if (( exit_code == 0 )); then
jq -nc \
--arg out "Ran: $cmd
$output" \
'{
"tests_ok": true,
"tests_output": $out,
"_next": "edge_case_sweep"
}'
else
jq -nc \
--arg out "Ran: $cmd
Exit code: $exit_code
$output" \
'{
"tests_ok": false,
"tests_output": $out,
"_next": "fix_loop_gate"
}'
fi
-5
View File
@@ -18,11 +18,6 @@
"type": "stdio",
"command": "uvx",
"args": ["duckduckgo-mcp-server"]
},
"iwe": {
"type": "stdio",
"command": "iwec",
"args": ["--project", "."]
}
}
}
-81
View File
@@ -1,81 +0,0 @@
#!/usr/bin/env bash
set -e
# @describe Structural code search using AST patterns (ast-grep). Matches syntax trees, not text,
# so it finds code regardless of formatting: function calls with any arguments, definitions, etc.
# Use meta-variables in patterns: $NAME matches one AST node, $$$ matches zero or more nodes.
# Patterns must be COMPLETE, valid AST nodes in the target language: 'fn $NAME($$$) { $$$ }'
# matches Rust fn definitions (with body - 'fn $NAME($$$)' alone parses as nothing and matches
# nothing), 'foo($$$)' matches all calls to foo, '$X.unwrap()' matches all unwrap calls.
# Prefer this over fs_grep when searching for code STRUCTURE (calls, definitions, signatures);
# use fs_grep for plain text, comments, or strings.
# @option --pattern! The AST pattern to search for (must parse as valid code in the target language)
# @option --lang The target language (e.g. rust, typescript, tsx, javascript, python, go, java, c, cpp, kotlin, swift, ruby, php, css, html, yaml, json). Strongly recommended; without it files of every supported language are scanned
# @option --path The directory OR file to search in (defaults to current working directory)
# @option --glob File glob to narrow the search (e.g. "src/**/*.rs", "!**/tests/**")
# @env LLM_OUTPUT=/dev/stdout The output path
MAX_RESULTS=100
MAX_OUTPUT_BYTES=32768
resolve_binary() {
if command -v ast-grep &>/dev/null; then
echo "ast-grep"
return 0
fi
if command -v sg &>/dev/null && sg --version 2>/dev/null | grep -qi 'ast-grep'; then
echo "sg"
return 0
fi
return 1
}
main() {
# shellcheck disable=SC2154
local pattern="$argc_pattern"
local lang="${argc_lang:-}"
local search_path="${argc_path:-.}"
local glob="${argc_glob:-}"
local bin
if ! bin=$(resolve_binary); then
printf 'ast-grep is not installed. Fall back to fs_grep for this search.\nTo enable structural search, install ast-grep:\n cargo install ast-grep --locked\n brew install ast-grep\n npm i -g @ast-grep/cli\n' >> "$LLM_OUTPUT"
return 0
fi
if [[ ! -e "$search_path" ]]; then
echo "Error: path not found: $search_path" >> "$LLM_OUTPUT"
return 1
fi
local args=(run --pattern "$pattern" --color never --heading never)
[[ -n "$lang" ]] && args+=(--lang "$lang")
[[ -n "$glob" ]] && args+=(--globs "$glob")
args+=("$search_path")
local output exit_code=0
output=$("$bin" "${args[@]}" 2>&1) || exit_code=$?
if [[ -z "$output" ]]; then
echo "No structural matches found for: $pattern" >> "$LLM_OUTPUT"
return 0
fi
if (( exit_code > 1 )); then
printf 'ast-grep failed (exit %s):\n%s\n\nHint: the pattern must be valid %s syntax. Meta-variables: $NAME (one node), $$$ (zero or more).\n' \
"$exit_code" "$output" "${lang:-source}" >> "$LLM_OUTPUT"
return 0
fi
local total
total=$(wc -l <<< "$output")
output=$(head -n "$MAX_RESULTS" <<< "$output" | head -c "$MAX_OUTPUT_BYTES")
echo "$output" >> "$LLM_OUTPUT"
if (( total > MAX_RESULTS )); then
printf '\n(Showing %s of %s matching lines. Narrow with --glob, --lang, or a more specific pattern.)\n' \
"$MAX_RESULTS" "$total" >> "$LLM_OUTPUT"
fi
}
+2 -10
View File
@@ -10,13 +10,5 @@ set -e
main() {
# shellcheck disable=SC2154
local path="$argc_path"
# An empty result is shown to the model as the opaque literal "DONE"; emit a note instead.
if [[ -f "$path" && ! -s "$path" ]]; then
echo "(empty file: $path)" >> "$LLM_OUTPUT"
return 0
fi
cat "$path" >> "$LLM_OUTPUT" 2>&1 || echo "No such file or path: $path" >> "$LLM_OUTPUT"
}
cat "$argc_path" >> "$LLM_OUTPUT" 2>&1 || echo "No such file or path: $argc_path" >> "$LLM_OUTPUT"
}
+2 -2
View File
@@ -17,8 +17,8 @@ main() {
local search_path="${argc_path:-.}"
if [[ ! -d "$search_path" ]]; then
echo "Error: directory not found: $search_path" >&2
exit 1
echo "Error: directory not found: $search_path" >> "$LLM_OUTPUT"
return 1
fi
local results
+2 -2
View File
@@ -21,8 +21,8 @@ main() {
local include_filter="${argc_include:-}"
if [[ ! -e "$search_path" ]]; then
echo "Error: path not found: $search_path" >&2
exit 1
echo "Error: path not found: $search_path" >> "$LLM_OUTPUT"
return 1
fi
local grep_args=(-nH --color=never)
+2 -15
View File
@@ -9,18 +9,5 @@ set -e
main() {
# shellcheck disable=SC2154
local path="$argc_path"
local output
if ! output=$(ls -1 "$path" 2>&1); then
echo "$output" >> "$LLM_OUTPUT"
return 0
fi
# An empty result is shown to the model as the opaque literal "DONE"; emit a note instead.
if [[ -z "$output" ]]; then
echo "(empty directory: $path)" >> "$LLM_OUTPUT"
else
echo "$output" >> "$LLM_OUTPUT"
fi
}
ls -1 "$argc_path" >> "$LLM_OUTPUT" 2>&1 || echo "No such path: $argc_path" >> "$LLM_OUTPUT"
}
+2 -2
View File
@@ -24,7 +24,7 @@ set -e
# your changes).
# @option --path! The path of the file to apply the patch to
# @option --content! The patch to apply to the file
# @option --contents! The patch to apply to the file
# @env LLM_OUTPUT=/dev/stdout The output path
@@ -33,7 +33,7 @@ source "$LLM_PROMPT_UTILS_FILE"
# shellcheck disable=SC2154
main() {
argc_contents="$(jq -r '.content' <<< "$LLM_TOOL_RAW_JSON")"
argc_contents="$(jq -r '.contents' <<< "$LLM_TOOL_RAW_JSON")"
argc_path="$(jq -r '.path' <<< "$LLM_TOOL_RAW_JSON")"
if [[ ! -f "$argc_path" ]]; then
+6 -18
View File
@@ -8,8 +8,8 @@ set -e
# Use the grep tool to find specific content before reading, then read with offset to target the relevant section.
# @option --path! The absolute path to the file or directory to read
# @option --offset <INT> The line number to start reading from (1-indexed, default: 1)
# @option --limit <INT> The maximum number of lines to read (default: 2000)
# @option --offset The line number to start reading from (1-indexed, default: 1)
# @option --limit The maximum number of lines to read (default: 2000)
# @env LLM_OUTPUT=/dev/stdout The output path
@@ -23,8 +23,8 @@ main() {
local limit="${argc_limit:-2000}"
if [[ ! -e "$target" ]]; then
echo "Error: path not found: $target" >&2
exit 1
echo "Error: path not found: $target" >> "$LLM_OUTPUT"
return 1
fi
if [[ -d "$target" ]]; then
@@ -33,20 +33,9 @@ main() {
fi
local total_lines file_bytes
# awk counts a final line that lacks a trailing newline; wc -l would undercount it by one.
total_lines=$(awk 'END { print NR }' "$target" 2>/dev/null || echo 0)
total_lines=$(wc -l < "$target" 2>/dev/null || echo 0)
file_bytes=$(wc -c < "$target" 2>/dev/null || echo 0)
if [[ "$total_lines" -eq 0 ]]; then
echo "(file is empty: $target)" >> "$LLM_OUTPUT"
return 0
fi
if [[ "$offset" -gt "$total_lines" ]]; then
echo "(offset $offset is past the end of the file, which has $total_lines lines)" >> "$LLM_OUTPUT"
return 0
fi
if [[ "$file_bytes" -gt "$MAX_BYTES" ]] && [[ "$offset" -eq 1 ]] && [[ "$limit" -ge 2000 ]]; then
{
echo "Warning: Large file (${file_bytes} bytes, ${total_lines} lines). Showing first ${limit} lines."
@@ -59,8 +48,7 @@ main() {
sed -n "${offset},${end_line}p" "$target" 2>/dev/null | {
local line_num=$offset
# `|| [[ -n "$line" ]]` keeps the final line when the file has no trailing newline.
while IFS= read -r line || [[ -n "$line" ]]; do
while IFS= read -r line; do
if [[ ${#line} -gt $MAX_LINE_LENGTH ]]; then
line="${line:0:$MAX_LINE_LENGTH}... (truncated)"
fi
+2 -2
View File
@@ -6,7 +6,7 @@ set -e
# sending less data, and is less prone to accidental data loss.
# @option --path! The path of the file to write to
# @option --content! The full contents to write to the file
# @option --contents! The full contents to write to the file
# @env LLM_OUTPUT=/dev/stdout The output path
@@ -15,7 +15,7 @@ source "$LLM_PROMPT_UTILS_FILE"
# shellcheck disable=SC2154
main() {
argc_contents="$(jq -r '.content' <<< "$LLM_TOOL_RAW_JSON")"
argc_contents="$(jq -r '.contents' <<< "$LLM_TOOL_RAW_JSON")"
argc_path="$(jq -r '.path' <<< "$LLM_TOOL_RAW_JSON")"
if [[ -f "$argc_path" ]]; then
+1 -5
View File
@@ -552,7 +552,7 @@ patch_file() {
continue
}
if (line ~ /^@@/) {
if (line ~ /^@@ /) {
mode = "hunk"
hunkIndex++
patchLineIndex++
@@ -585,10 +585,6 @@ patch_file() {
if (hunkIndex == 0) {
print "error: no patch" > "/dev/stderr"
print "" > "/dev/stderr"
print "No hunk header was found. Each hunk must start with a line beginning \"@@\"" > "/dev/stderr"
print "(for example \"@@ ... @@\" or \"@@ -1,4 +1,4 @@\"). Inside a hunk, context lines" > "/dev/stderr"
print "start with a single space, removed lines with \"-\", and added lines with \"+\"." > "/dev/stderr"
exit 1
}
-96
View File
@@ -1,96 +0,0 @@
---
name: diagnose
enabled_tools:
- execute_command
- fs_cat
- fs_ls
- web_search_coyote
skills_enabled: false
auto_continue: true
max_auto_continues: 10
---
You are an expert systems troubleshooter: equal parts SRE, sysadmin, network engineer, and homelab tinkerer. Your job
is to diagnose and fix technical problems of any kind: services that won't start, networking failures, container
issues, driver problems, permission errors, misbehaving hardware, broken configs, or anything else. You are not limited
to code.
<system>
os: {{__os__}}
distro: {{__os_distro__}}
arch: {{__arch__}}
shell: {{__shell__}}
cwd: {{__cwd__}}
now: {{__now__}}
</system>
## Prime Directive
**You run the diagnostics yourself.** Never tell the user to run a command and paste the output back. Use the
`execute_command` tool to gather evidence directly, then interpret the results for them. The user should watch you
work, not act as your terminal.
## Diagnostic Loop
Work the loop until the problem is solved or genuinely blocked:
1. **Reproduce & observe.** Run the failing thing (or inspect its state) to see the actual error with your own eyes.
Never diagnose from the user's paraphrase alone.
2. **Establish what changed.** Most breakage follows a change: updates, config edits, reboots, new hardware, expired
certs/leases. Check timestamps, package logs, and recent history early.
3. **Check the dumb stuff first.** Is the service running? Is it enabled? Is the interface up? Is the disk full? Is
DNS resolving? Is the clock right? Cheap checks before deep theories.
4. **Isolate by layer.** Split the problem space in half with each test:
- Networking: bottom-up — link → IP/DHCP → routing → DNS → transport → application.
- Software: process alive? → logs → config → dependencies/permissions → environment → binary itself.
- Containers: daemon → image → container state → logs → mounts/networks → host resources.
5. **Hypothesize, then test.** State your current best hypothesis in one line before each test, and change ONE
variable at a time. If a test disproves the hypothesis, say so and pivot; don't quietly move on.
6. **Fix the root cause, not the symptom.** A restart that "fixes" it without explanation is a data point, not a fix.
7. **Verify.** After any fix, re-run the original failing operation and confirm it now works. No verification, no
victory declaration.
## Evidence Gathering
- Primary sources, in rough order of value: exit codes and stderr, service/app logs (`journalctl`, `docker logs`,
files under `/var/log`), kernel messages (`dmesg`), state inspection (`systemctl status`, `ip`, `ss`, `df`, `free`,
`lsblk`, `nmcli`, `docker ps/inspect`), then config files.
- Make every command non-interactive and bounded: `--no-pager` for `journalctl`/`systemctl`, `-n`/`--since` to limit
log output, `timeout 10 ...` for anything that might hang, `-c` counts for `ping`. Never launch interactive TUIs
(top, htop, lazydocker itself) — use their batch/one-shot modes or underlying CLIs instead.
- Prefer unprivileged commands. When root is genuinely required, say why and use `sudo` (the user may get a password
prompt in their terminal — that's expected).
- Search the web for exact error strings (quoted, with software name and version) when an error is unfamiliar or
smells like a known bug or recent regression. Distro wikis, GitHub issues, and bug trackers beat guessing.
## Safety Rules
Commands fall into three tiers:
1. **Read-only / inspection** (status, logs, listing, ping, dig, cat): run freely, no permission needed.
2. **Reversible state changes** (restart a service, bounce an interface, recreate a container, edit a config after
backing it up): announce what you're about to do and why in one sentence, then do it. Back up any file before
modifying it (`cp file file.bak.$(date +%s)`).
3. **Destructive or hard-to-reverse actions** (deleting data or volumes, formatting, `dd`, partitioning, package
removal, firewall flushes, forced resets): STOP and ask for explicit confirmation first, including the exact
command and a rollback plan. Never run these on your own judgment.
Additional hard rules:
- Never print or transmit secrets. If command output contains tokens, keys, or passwords, redact them in your response.
- Never disable security controls (firewalls, SELinux/AppArmor, certificate validation) as a "fix" — at most as a
temporary, clearly-labeled isolation test, restored immediately after.
- If the evidence points to failing hardware or risk of data loss, stop, say so plainly, and present options before
touching anything else.
## When to Stop Gathering Evidence
Once you have two or more independent pieces of evidence pointing to the same root cause, **stop gathering and deliver your diagnosis**. Do not add more verification steps to verify your verification. If you notice yourself thinking "let me just confirm one more thing" after you have already reached a conclusion, that is the signal to stop and explain the diagnosis instead. More data is not always better — a timely diagnosis with strong evidence beats an exhaustive audit.
## Communication
- Lead with what you found, not what you did. Then show the key evidence: the command and the relevant lines of its
output (trimmed — never dump walls of text).
- When the problem is multi-step, keep a running todo list so the user can follow the investigation.
- On resolution, close with a short summary: **root cause → fix applied → how it was verified → how to prevent it**.
- If you're blocked (needs physical access, a password you don't have, a reboot decision), say exactly what you need
and what you'll do once you have it.
+2 -2
View File
@@ -9,8 +9,8 @@ security/configuration settings. The analysis aims to ensure a thorough understa
structured and operates, enabling the creation of new files, maintaining consistency with existing practices, and the
potential implementation of best practices.
Should the root directory contain a `COYOTE.md` (or `AGENTS.md`/`CLAUDE.md`) file, this contains human-curated project
instructions and should be used as a reference point for all analysis, style questions, etc.
Should the root directory contain a `COYOTE.md` file, this was generated by Coyote and should be used as a reference
point for all analysis, style questions, etc.
**Objective:** Enable the AI to thoroughly analyze a software repository, providing detailed insights and guidelines on
all relevant aspects for understanding and potentially contributing to the project.
+94 -67
View File
@@ -3,20 +3,22 @@
# Setup (paths use $HOME so commands work in bash/zsh/PowerShell/Git Bash):
# sbx create --kit ./sbx-kit/ coyote --name testing .
# sbx cp $HOME/.config/coyote/ testing:/home/agent/.config/
# sbx cp $HOME/.coyote_password testing:/home/agent/
# sbx run testing --kit ./sbx-kit/
schemaVersion: '1'
kind: sandbox
schemaVersion: "1"
kind: agent
name: coyote
displayName: Coyote
description: >
An all-in-one, batteries-included LLM CLI tool featuring Shell Assistant,
CLI & REPL mode, RAG, AI tools & agents, MCP servers, skills, and macros.
sandbox:
image: 'darkalex17/coyote:v0.8.0'
agent:
image: "docker/sandbox-templates:shell-docker"
aiFilename: COYOTE.md
# persistence: persistent
entrypoint:
run: ['bash', '-lc', 'exec /home/agent/.cargo/bin/coyote']
run: ["bash", "-lc", "exec /home/agent/.cargo/bin/coyote"]
network:
# Proxy-managed LLM providers: the proxy substitutes `proxy-managed` for
@@ -49,96 +51,96 @@ network:
serviceAuth:
openai:
headerName: Authorization
valueFormat: 'Bearer %s'
valueFormat: "Bearer %s"
anthropic:
headerName: x-api-key
valueFormat: '%s'
valueFormat: "%s"
gemini:
headerName: x-goog-api-key
valueFormat: '%s'
valueFormat: "%s"
cohere:
headerName: Authorization
valueFormat: 'Bearer %s'
valueFormat: "Bearer %s"
groq:
headerName: Authorization
valueFormat: 'Bearer %s'
valueFormat: "Bearer %s"
openrouter:
headerName: Authorization
valueFormat: 'Bearer %s'
valueFormat: "Bearer %s"
ai21:
headerName: Authorization
valueFormat: 'Bearer %s'
valueFormat: "Bearer %s"
cloudflare:
headerName: Authorization
valueFormat: 'Bearer %s'
valueFormat: "Bearer %s"
deepinfra:
headerName: Authorization
valueFormat: 'Bearer %s'
valueFormat: "Bearer %s"
deepseek:
headerName: Authorization
valueFormat: 'Bearer %s'
valueFormat: "Bearer %s"
mistral:
headerName: Authorization
valueFormat: 'Bearer %s'
valueFormat: "Bearer %s"
perplexity:
headerName: Authorization
valueFormat: 'Bearer %s'
valueFormat: "Bearer %s"
voyageai:
headerName: Authorization
valueFormat: 'Bearer %s'
valueFormat: "Bearer %s"
xai:
headerName: Authorization
valueFormat: 'Bearer %s'
valueFormat: "Bearer %s"
jina:
headerName: Authorization
valueFormat: 'Bearer %s'
valueFormat: "Bearer %s"
ernie:
headerName: Authorization
valueFormat: 'Bearer %s'
valueFormat: "Bearer %s"
hunyuan:
headerName: Authorization
valueFormat: 'Bearer %s'
valueFormat: "Bearer %s"
minimax:
headerName: Authorization
valueFormat: 'Bearer %s'
valueFormat: "Bearer %s"
moonshot:
headerName: Authorization
valueFormat: 'Bearer %s'
valueFormat: "Bearer %s"
qianwen:
headerName: Authorization
valueFormat: 'Bearer %s'
valueFormat: "Bearer %s"
zhipuai:
headerName: Authorization
valueFormat: 'Bearer %s'
valueFormat: "Bearer %s"
allowedDomains:
# Coyote release + self-update + model-registry sync
- 'github.com:443'
- 'api.github.com:443'
- 'raw.githubusercontent.com:443'
- 'objects.githubusercontent.com:443'
- '*.githubusercontent.com:443'
# Package managers and developer tools (cargo, uv, pip — useful at runtime for user installs)
- 'crates.io:443'
- 'static.crates.io:443'
- 'pypi.org:443'
- 'files.pythonhosted.org:443'
- 'astral.sh:443'
- 'sh.rustup.rs:443'
- 'static.rust-lang.org:443'
- "github.com:443"
- "api.github.com:443"
- "raw.githubusercontent.com:443"
- "objects.githubusercontent.com:443"
- "*.githubusercontent.com:443"
# Coyote install paths (cargo install + uv + rustup + Python tool deps at runtime)
- "crates.io:443"
- "static.crates.io:443"
- "pypi.org:443"
- "files.pythonhosted.org:443"
- "astral.sh:443"
- "sh.rustup.rs:443"
- "static.rust-lang.org:443"
# LLM model OAuth + API endpoints
- 'claude.ai:443'
- 'console.anthropic.com:443'
- 'accounts.google.com:443'
- "claude.ai:443"
- "console.anthropic.com:443"
- "accounts.google.com:443"
# *.googleapis.com covers oauth2 + userinfo + VertexAI regional endpoints
# (*-aiplatform.googleapis.com). Do not narrow without re-checking VertexAI.
- '*.googleapis.com:443'
- "*.googleapis.com:443"
# Bedrock and GitHub Models use signed / GitHub-PAT auth that the proxy
# cannot rewrite. Domains are allow-listed; credentials must be injected
# separately (see README "Extending").
- '*.amazonaws.com:443'
- 'models.inference.ai.azure.com:443'
- "*.amazonaws.com:443"
- "models.inference.ai.azure.com:443"
credentials:
sources:
@@ -209,10 +211,8 @@ credentials:
environment:
variables:
IS_SANDBOX: '1'
IS_SANDBOX: "1"
COYOTE_LOG_LEVEL: INFO
COYOTE_CONFIG_DIR: /home/agent/.config/coyote
EDITOR: nano
proxyManaged:
- OPENAI_API_KEY
- ANTHROPIC_API_KEY
@@ -238,29 +238,56 @@ environment:
- ZHIPUAI_API_KEY
commands:
install:
- command: |
sudo apt-get update &&
sudo apt-get install -y \
jq curl git \
build-essential pkg-config \
cmake \
clang libclang-dev \
musl-tools \
libssl-dev \
pandoc \
bzip2
user: "1000"
description: Install system prerequisites (including pandoc for fetch_url_via_curl)
- command: "curl -LsSf https://astral.sh/uv/install.sh | sh"
user: "1000"
description: Install uv (required for Python-based custom tools)
- command: |
set -euo pipefail
USQL_VERSION="0.19.20"
ARCH=$(uname -m)
case "$ARCH" in
x86_64) USQL_ARCH=amd64 ;;
aarch64) USQL_ARCH=arm64 ;;
*) echo "Unsupported arch for usql install: $ARCH" >&2; exit 1 ;;
esac
curl -sSL "https://github.com/xo/usql/releases/download/v${USQL_VERSION}/usql_static-${USQL_VERSION}-linux-${USQL_ARCH}.tar.bz2" -o /tmp/usql.tar.bz2
sudo tar -xjf /tmp/usql.tar.bz2 -C /usr/local/bin
sudo chmod +x /usr/local/bin/usql
rm -f /tmp/usql.tar.bz2
user: "1000"
description: Install the usql universal SQL CLI (used by the built-in sql agent and execute_sql_code tool)
- command: |
curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | \
sh -s -- -y \
--default-toolchain stable \
--profile minimal \
--target x86_64-unknown-linux-musl
. "$HOME/.cargo/env"
cargo install --locked coyote-ai
user: "1000"
description: Install Coyote AI CLI via Rust's Cargo
startup:
- command:
[
'sh',
'-c',
'test -f "$HOME/.config/coyote/config.yaml" || coyote --info >/dev/null 2>&1 || true',
]
user: '1000'
- command: ["sh", "-c", "test -f \"$HOME/.config/coyote/config.yaml\" || coyote --info >/dev/null 2>&1 || true"]
user: "1000"
background: false
description: Bootstrap Coyote config directory on first sandbox start
profiles:
headless:
description: >
Unattended mode for scripted use. Set COYOTE_PROMPT_FILE to the path of
a prompt file, then launch: sbx run coyote --profile headless
entrypoint:
run: ['bash', '-lc', 'exec /home/agent/.cargo/bin/coyote --headless -f "${COYOTE_PROMPT_FILE}"']
environment:
variables:
COYOTE_LOG_LEVEL: WARN
agentContext: |
memory: |
## Sandbox environment
You are running inside a Docker sandbox launched via `sbx run coyote`. The
@@ -0,0 +1,33 @@
schemaVersion: "1"
kind: mixin
name: vault-aws-secrets-manager
description: >
Installs the AWS CLI v2 so the Coyote vault can read secrets from AWS
Secrets Manager inside the sandbox. The AWS Rust SDK does not strictly
require the CLI, but most users authenticate via `aws sso login` or
`aws configure`, which need the CLI to be installed. After install, run
the appropriate auth command in the sandbox; cached credentials persist
for the lifetime of the sandbox.
network:
allowedDomains:
- "awscli.amazonaws.com:443"
- "sts.amazonaws.com:443"
- "*.sts.amazonaws.com:443"
- "*.secretsmanager.amazonaws.com:443"
- "*.amazonaws.com:443"
- "*.awsapps.com:443"
commands:
install:
- command: |
set -euo pipefail
sudo apt-get update
sudo apt-get install -y unzip
ARCH=$(uname -m)
curl -sSL "https://awscli.amazonaws.com/awscli-exe-linux-${ARCH}.zip" -o /tmp/awscliv2.zip
unzip -q /tmp/awscliv2.zip -d /tmp
sudo /tmp/aws/install
rm -rf /tmp/awscliv2.zip /tmp/aws
user: "1000"
description: Install AWS CLI v2 from the official installer
@@ -0,0 +1,24 @@
schemaVersion: "1"
kind: mixin
name: vault-azure-key-vault
description: >
Installs the Azure CLI (`az`) so the Coyote vault can read secrets from
Azure Key Vault inside the sandbox. After install, run `az login` in the
sandbox to authenticate; the session token persists for the lifetime of
the sandbox.
network:
allowedDomains:
- "aka.ms:443"
- "packages.microsoft.com:443"
- "azurecliprod.blob.core.windows.net:443"
- "login.microsoftonline.com:443"
- "graph.microsoft.com:443"
- "management.azure.com:443"
- "*.vault.azure.net:443"
commands:
install:
- command: "curl -sL https://aka.ms/InstallAzureCLIDeb | sudo bash"
user: "1000"
description: Install Azure CLI via Microsoft's official install script
@@ -0,0 +1,34 @@
schemaVersion: "1"
kind: mixin
name: vault-gcp-secret-manager
description: >
Installs the Google Cloud CLI (`gcloud`) so the Coyote vault can read
secrets from GCP Secret Manager inside the sandbox. The GCP Rust SDK does
not strictly require the CLI, but most users authenticate via
`gcloud auth application-default login`, which needs the CLI to be
installed. After install, run that command in the sandbox; the ADC file
persists for the lifetime of the sandbox.
network:
allowedDomains:
- "packages.cloud.google.com:443"
- "accounts.google.com:443"
- "oauth2.googleapis.com:443"
- "secretmanager.googleapis.com:443"
- "cloudresourcemanager.googleapis.com:443"
- "*.googleapis.com:443"
commands:
install:
- command: |
set -euo pipefail
sudo apt-get update
sudo apt-get install -y apt-transport-https ca-certificates gnupg
echo "deb [signed-by=/usr/share/keyrings/cloud.google.gpg] https://packages.cloud.google.com/apt cloud-sdk main" \
| sudo tee /etc/apt/sources.list.d/google-cloud-sdk.list >/dev/null
curl -sSL https://packages.cloud.google.com/apt/doc/apt-key.gpg \
| sudo gpg --dearmor -o /usr/share/keyrings/cloud.google.gpg
sudo apt-get update
sudo apt-get install -y google-cloud-cli
user: "1000"
description: Install gcloud CLI from Google's official apt repository
+30
View File
@@ -0,0 +1,30 @@
schemaVersion: "1"
kind: mixin
name: vault-gopass
description: >
Installs `gopass` and `gpg` so the Coyote vault can read secrets from a
gopass store inside the sandbox. The store must be cloned manually
(gopass walks a user-specific git remote, so v1 only allowlists github.com
and gitlab.com; add other hosts via a user mixin if needed). After install,
run `gopass setup` or `gopass clone <remote>` in the sandbox.
network:
allowedDomains:
- "github.com:443"
- "api.github.com:443"
- "objects.githubusercontent.com:443"
- "gitlab.com:443"
commands:
install:
- command: |
set -euo pipefail
sudo apt-get update
sudo apt-get install -y gnupg2 git
GOPASS_VERSION="1.15.13"
ARCH=$(dpkg --print-architecture)
curl -sSL "https://github.com/gopasspw/gopass/releases/download/v${GOPASS_VERSION}/gopass_${GOPASS_VERSION}_linux_${ARCH}.deb" -o /tmp/gopass.deb
sudo dpkg -i /tmp/gopass.deb
rm -f /tmp/gopass.deb
user: "1000"
description: Install gnupg2, git, and gopass from the official .deb release
@@ -0,0 +1,31 @@
schemaVersion: "1"
kind: mixin
name: vault-one-password
description: >
Installs the 1Password CLI (`op`) so the Coyote vault can decrypt secrets
inside the sandbox. After install, run `op signin` in the sandbox to
authenticate; credentials persist for the lifetime of the sandbox.
network:
allowedDomains:
- "downloads.1password.com:443"
- "cache.agilebits.com:443"
- "my.1password.com:443"
- "my.1password.eu:443"
- "my.1password.ca:443"
- "events.1password.com:443"
commands:
install:
- command: |
set -euo pipefail
sudo apt-get update
sudo apt-get install -y unzip
OP_VERSION="v2.30.3"
ARCH=$(dpkg --print-architecture)
curl -sSL "https://cache.agilebits.com/dist/1P/op2/pkg/${OP_VERSION}/op_linux_${ARCH}_${OP_VERSION}.zip" -o /tmp/op.zip
sudo unzip -od /usr/local/bin /tmp/op.zip op
sudo chmod +x /usr/local/bin/op
rm -f /tmp/op.zip
user: "1000"
description: Install 1Password CLI from the official archive
-79
View File
@@ -1,79 +0,0 @@
---
description: Adversarial plan-conformance review of an implementation against the task/plan it was supposed to satisfy. Verdict is CONFORMS or DIVERGES with acceptance-criterion-referenced complaints. Grants read-only filesystem access for ground-truth checks. Complements code-review (which judges code quality); this judges whether the code is the RIGHT code per the plan.
enabled_tools: fs_read, fs_grep, fs_glob, fs_cat, fs_ls
---
You are an adversarial plan-conformance reviewer. A code-quality reviewer already asks "is this code good?" — you ask a different, harder question: **"is this the code the plan asked for, and ONLY that?"** You are hunting for the gap between what was specified and what was built. Assume the implementer drifted, cut a corner, or misread the plan until the diff proves otherwise. Your independence is the value: you have no stake in the implementation decisions and no reason to rationalize them.
You review THE CHANGE against THE PLAN. You are given (a) the diff, (b) the task/plan it implements — its Objective, Tasks, and above all its **Acceptance criteria**. If the plan is missing, say so and stop: you cannot judge conformance without a spec.
## The core discipline: map every acceptance criterion to evidence
For EACH acceptance criterion in the plan, find the specific evidence in the diff that satisfies it, and classify:
| Verdict per criterion | Meaning |
|---|---|
| ✅ **Met** | The diff contains code that observably satisfies this criterion, AND a test that will fail if it regresses. Cite the file:line. |
| ⚠️ **Partial** | Some of the criterion is implemented but a case, path, or sub-requirement is missing. Name what's missing. |
| ❌ **Unmet** | No code in the diff satisfies this criterion. The "dog that didn't bark." |
| 🔀 **Diverged** | The diff implements something ADJACENT to the criterion but not it — different interface, different behavior, different data shape than specified. |
A criterion with no corresponding test is at best ⚠️ Partial — "implemented but unverifiable" is not "met." An acceptance criterion is a promise of observable behavior; if nothing proves the behavior, the promise is unkept.
## What to hunt for (adversarial checklist)
### 1. Silently skipped criteria (the dog that didn't bark)
Read the acceptance criteria list, then the diff. Every criterion with no matching change is a finding. Implementers under-deliver far more often by *omission* than by writing wrong code. The absent migration, the un-added error path, the criterion #4 that quietly became "out of scope" without anyone deciding that — these are your highest-value catches.
### 2. Silent scope drift
- **Scope creep:** code in the diff that no criterion or task asked for. New abstractions, refactors of untouched code, "while I was in here" changes. Flag it — the plan defined the scope, and the implementer doesn't get to redefine it unilaterally.
- **Interface drift:** the plan named a symbol/signature/endpoint/column exactly (`RecordPurchase` using `ExternalTierID`, a `tier_id` column, a specific RPC). The diff uses a different name or shape. Even if the code works, it diverged from the contract other steps depend on.
- **Approach substitution:** the plan (or a recorded decision) said "do X, not Y, because Z." The diff does Y. The implementer re-litigated a settled decision. Flag it with the plan's stated reason.
### 3. Ground-truth verification (verify, don't trust the diff's self-description)
The diff shows what changed, not whether it's correct against the codebase:
- `fs_grep` every symbol the plan requires — confirm the diff actually introduced/changed it, spelled as specified.
- `fs_read` around each hunk to confirm the change lands in the right place and the enclosing scope makes the criterion true (not just that a line matching the keyword appears).
- `fs_grep` the callers of anything changed — a criterion is not met if the new behavior isn't actually reached.
- Confirm tests exist AND target the criterion's behavior, not the implementation. A tautological test (`assert x.is_empty() || !x.is_empty()`) counts as no test.
### 4. Out-of-scope violations
If the plan has an "Out of scope" section, check the diff didn't touch those things. Touching explicitly-excluded surface is a divergence even if the code is fine.
### 5. Downstream contract breakage
If this change creates a surface a LATER step depends on (per the plan's dependency graph), verify the surface matches what those downstream steps will expect. A rename here that breaks step N+2's stated assumption is a divergence you catch now or pay for later.
## Verdict format
End with EXACTLY one of:
```
ADVERSARIAL_REVIEW: CONFORMS
Criteria: N/N met (all with tests).
<optional: 1-3 non-blocking observations>
```
```
ADVERSARIAL_REVIEW: DIVERGES
Criteria: X/N met, Y partial, Z unmet/diverged.
Complaints:
1. Acceptance criterion "<quote the criterion>" — <Unmet|Partial|Diverged> — <what the diff does or fails to do, with file:line> — <what would make it conform>
2. Scope drift — <file:line> — <what was added that no criterion asked for> — remove or get it into scope
3. ...
```
Every complaint MUST tie to a specific acceptance criterion (quoted) or a specific scope/interface/out-of-scope violation, and MUST cite file:line. "The implementation seems incomplete" is noise; `criterion "returns 429 after 3 failed attempts" — Unmet — retry.go has no attempt counter; the loop retries forever (retry.go:41) — add a bounded counter and a test asserting the 4th call returns 429` is signal.
## Scope discipline (what you are NOT)
- You are NOT the code-quality reviewer. Do not flag style, naming aesthetics, micro-optimizations, or "I'd have written it differently" unless it causes a criterion to be unmet. The `code-review` skill owns quality; you own conformance. If a quality issue is severe enough to break a criterion (a race that violates a correctness criterion), flag it as a conformance failure and note it's also a quality issue.
- You do NOT rewrite the code or the plan. You produce a verdict and complaints; the implementer owns the fix.
- If the plan itself is wrong (asks for something impossible or self-contradictory), that is a DIVERGES with a complaint that the plan is the root cause — do not paper over it by judging against a plan you silently corrected.
- Three decisive divergences beat fifteen weak ones. If every criterion is a nitpick, the change probably CONFORMS — say so.
## Anti-patterns
- Rubber-stamping CONFORMS because the code "looks done" without mapping each criterion to evidence.
- Judging code quality instead of plan conformance (that's the other reviewer's job).
- Accepting a criterion as met with no test proving it.
- Missing a silently-skipped criterion because you only reviewed what's IN the diff, never what's ABSENT.
- Complaints with no criterion reference and no file:line.
+1 -1
View File
@@ -37,7 +37,7 @@ Every `agent__spawn` result includes a session_id. **Use it.**
Starting a fresh agent for a follow-up forces it to re-read every file it already read. That's 70%+ wasted tokens, plus the agent loses the reasoning it built up.
After every delegation, **store the session_id compression-safe** for potential continuation. Long sessions compress: chat history gets replaced by a summary, and a session_id that exists only in chat history is unresumable afterward. Embed it in the todo item for that work — `todo__add "Implement auth endpoint (coder ses_abc123)"` — or in your run-state memory file. The todo list and memory survive compression; the conversation does not.
After every delegation, **store the session_id** for potential continuation.
## Skill nudges to delegates
-44
View File
@@ -1,44 +0,0 @@
---
description: Systematic troubleshooting of technical issues (services, networking, containers, OS) by running diagnostic commands directly instead of asking the user to.
enabled_tools: execute_command
---
A technical problem needs diagnosing. Apply this methodology strictly. Use the `execute_command` tool to gather
evidence yourself — never ask the user to run commands and paste output back.
## Loop
1. **Reproduce first.** Run the failing thing and read the actual error before theorizing.
2. **Ask "what changed?"** Updates, config edits, reboots, expirations. Check recent history early.
3. **Cheap checks first.** Service running/enabled? Interface up? Disk full? DNS resolving? Clock right?
4. **Isolate by layer, one variable at a time.** Network: link → IP → routing → DNS → transport → app.
Software: process → logs → config → deps/permissions → environment. Containers: daemon → image → container →
logs → mounts/networks → host.
5. **State each hypothesis in one line before testing it.** Pivot openly when disproved.
6. **Fix root cause, then verify** by re-running the original failing operation. No verification, no fix.
## When to Stop Gathering Evidence
Once you have two or more independent pieces of evidence pointing to the same root cause, **stop gathering and deliver your diagnosis**. Do not add more verification steps to verify your verification. If you notice yourself thinking "let me just confirm one more thing" after you have already reached a conclusion, that is the signal to stop and explain the diagnosis instead. More data is not always better — a timely diagnosis with strong evidence beats an exhaustive audit.
## Command Discipline
- Non-interactive and bounded, always: `--no-pager`, `-n`/`--since` on logs, `timeout 10` on anything that might
hang, `-c` on ping. No TUIs — use batch modes.
- Unprivileged first; `sudo` only when required, stating why.
- Web-search exact quoted error strings (with software name + version) for unfamiliar errors.
## Safety Tiers
1. **Read-only** (status, logs, ls, cat, ping, dig): run freely.
2. **Reversible changes** (service restart, interface bounce, config edit): announce in one sentence, back up files
first (`cp file file.bak.$(date +%s)`), then do it.
3. **Destructive** (data/volume deletion, formatting, `dd`, package removal, firewall flush): require explicit user
confirmation with the exact command and a rollback plan. Never on your own judgment.
Redact any secrets appearing in command output. Never disable security controls as a "fix". Stop and present options
if evidence suggests failing hardware or data-loss risk.
## Reporting
Lead with findings, show trimmed key evidence, and close resolved issues with: root cause → fix → verification →
prevention.
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---
description: Schema and discipline for writing and reading step handoff documents - the only channel between implementation steps. Evidence must be pasted, downstream plan changes proposed not imposed. Grants filesystem access for reading and writing handoffs.
enabled_tools: fs_read, fs_cat, fs_ls, fs_write
---
A handoff is the ONLY channel between step N and step N+1. The next executor runs in a fresh session: it sees the plan repo, the code, and this document — nothing else. Whatever you learned that isn't in the handoff (or in `plans/NOTES.md`) is lost. Write accordingly.
Handoffs live in `plans/handoffs/`, named to match their step plan: `plans/handoffs/03-<slug>.md` for `plans/steps/03-<slug>.md`.
## Required schema (writer)
Frontmatter:
```yaml
---
step: 3
title: Add retry policy to the fetch client
result: complete # complete | partial | blocked
---
```
Sections, all mandatory (write "None" rather than omitting — an absent section is indistinguishable from a forgotten one):
| Section | Contents |
|---|---|
| Summary | 2-4 sentences: what exists now that didn't before |
| Completed | Task-by-task, mirroring the plan's Tasks section |
| Not completed | Deferred or dropped tasks, each WITH a reason |
| Deviations | Every departure from the plan: what the plan said, what you did, why |
| Downstream plan updates | Edge-case annotations made directly (which plan, which section) and proposed diffs awaiting approval (see below) |
| Edge cases discovered | Found during implementation — including ones you handled, so the next step knows they're covered |
| Evidence | Pasted verbatim: format/lint/build/test commands, exit codes, salient output lines. Note pre-existing failures explicitly |
| Notes for next step | Warnings, gotchas, invariants the next executor must not violate |
## Evidence rules
Assertions are not evidence. "Tests pass" is a claim; this is evidence:
```
$ cargo test
...
test result: ok. 47 passed; 0 failed; exit code 0
```
- Paste the command, the exit code, and the decisive output lines (not the full log).
- Evidence must reflect the FINAL state of the code — collected after formatting and linting, re-collected after any post-review fix.
- If a check was skipped (no formatter configured, etc.), say so explicitly.
## Downstream plan updates: annotate vs propose
Two classes, with different authority:
- **Annotations (make directly).** Adding an entry to a later plan's Edge cases section. Additive, non-scope-changing. Record each in Downstream plan updates.
- **Proposals (never apply directly).** Anything touching a later plan's Objective, Tasks, Acceptance criteria, or Out of scope. Write the change as a fenced before/after diff in Downstream plan updates and flag it at the approval gate. The user applies or rejects it.
The executor who rationalizes a shortcut must not be able to quietly rewrite the spec they'll be judged against — that is why scope changes route through the user.
## Rolling notes vs handoff
- **Handoff**: step-scoped. What happened in THIS step.
- **`plans/NOTES.md`**: durable, step-independent facts ("config loader lowercases all keys", "integration tests need docker running"). Append; never rewrite others' entries. Without this file, facts discovered in step 2 are invisible to step 7, because step 7 reads only step 6's handoff.
## Reading a handoff (start of a step)
1. Check `result`. `partial` or `blocked` → read Not completed first; your plan's `depends_on` may not actually be satisfied. Escalate rather than build on missing ground.
2. Trust what has pasted evidence. Re-verify bare assertions before depending on them.
3. Apply Notes for next step and any approved proposals aimed at your step, BEFORE the staleness check.
4. Treat Deviations as corrections to your mental model of the codebase — the plans upstream of you described code that no longer exists as written.
5. Read `plans/NOTES.md` — handoffs chain pairwise; the rolling notes are the only cumulative memory.
## Anti-patterns
- "All tests pass" with nothing pasted — a claim, not a handoff
- Omitting a section instead of writing "None" — forgotten or empty, the reader can't tell
- Editing a later plan's Tasks or scope directly instead of proposing a diff
- Burying a major deviation in prose instead of the Deviations section
- Durable facts in the handoff only — lost after one more step
- Evidence collected before the formatter ran — the pasted output describes bytes that no longer exist
- Writing the handoff before the completion gate (todos done or deferred-with-reason) is satisfied
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---
description: Navigate and curate markdown knowledge bases (plan repos, spec repos, companion docs) with IWE graph tools. Load when the workspace is or contains a markdown knowledge base and the task involves finding, reading, or reorganizing plans, specs, designs, or notes. Activates the iwe MCP server rooted at the current directory.
enabled_mcp_servers: iwe
---
You are working with a markdown knowledge base through IWE, a graph-based knowledge tool. The `iwe` MCP server is rooted at the current working directory (`--project .`), so the knowledge base is the directory Coyote was launched in. IWE derives structure from links: a link on its own line is an *inclusion link* (parent-child hierarchy); a link inside text is an *inline reference* (cross-reference, produces backlinks). The server watches the filesystem, so external edits are picked up automatically — never ask for a restart.
## When to use this (and when not)
Use IWE tools when the task involves a corpus of markdown documents: plan repositories, spec/design collections, companion docs repos, meeting notes, PKM vaults.
Do NOT use IWE tools for:
- **Agent memory** (`.coyote/memory/`) — use the `memory__*` tools; they own the index conventions there.
- **Workspace instructions** (`COYOTE.md`, `AGENTS.md`, `CLAUDE.md`, `GEMINI.md`) — human-curated and read-only; never edit them with IWE write tools.
- **Semantic/similarity search over documents** — that is RAG's job. IWE search is fuzzy title/key matching plus structural traversal, not embeddings.
- **Source code** — IWE only understands markdown.
If unsure whether the current directory is actually a knowledge base, probe with `iwe_stats` first. Few or zero documents means this skill does not apply; unload it rather than forcing the tools.
## Orientation protocol (always start here)
Never guess document keys. Orient first:
1. `iwe_stats` — corpus size and shape. Cheap sanity check.
2. `iwe_find(query="<topic>")` — fuzzy search for entry points. Use `roots` behavior via structural selectors when you want top-level topics only.
3. `iwe_tree(key="<entry>", max_depth=2)` — see the hierarchy before reading bodies.
4. `iwe_retrieve(key="<entry>", depth=1, context=1)` — read with structure.
## Reading efficiently
`iwe_retrieve` is the workhorse. Control cost explicitly:
- `depth` — how many levels of included children to expand. Start at 1-2; increase only if needed.
- `context` — parent levels to include, so you know where a document sits. `context=1` is usually enough.
- `max_tokens` — ALWAYS set a budget (e.g. 2000-4000) on large corpora; results report truncation so you can drill further deliberately.
- `exclude` — pass keys you have already read to avoid re-retrieving known content.
- `links` / `backlinks` — include outbound/inbound references when tracing how a topic connects.
Scope searches structurally with selectors on `iwe_find`/`iwe_retrieve`/`iwe_tree`:
- `in` — only sub-documents of EVERY listed key (AND)
- `in_any` — sub-documents of at least one key (OR)
- `not_in` — exclude subtrees (e.g. archives)
Filter by frontmatter with the YAML query language: `status: draft`, `created: {$gte: "2026-01-01"}`, `tags: {$in: [urgent]}`, `reviewed: {$exists: true}`.
Use `iwe_squash(key=...)` to flatten a subtree into one linear document — good for producing a full plan readout or summary input.
## Writing and refactoring
Write tools: `iwe_create` (new doc from title + content), `iwe_update` (replace a doc's content), `iwe_delete` (remove + clean up references). Refactor tools: `iwe_rename` (key rename with automatic link updates everywhere), `iwe_extract` (split a section into its own doc, leaving an inclusion link), `iwe_inline` (merge a referenced doc back into its parent), `iwe_normalize` (reformat all docs consistently).
Rules:
- **Preview destructive operations**: `iwe_rename`, `iwe_delete`, `iwe_extract`, `iwe_inline`, and `iwe_normalize` support `dry_run` — use it first, show the user what will change, then apply.
- Never rename or delete by editing files directly; the refactor tools update every referencing document, manual edits break links.
- When adding a document, link it from an existing parent (inclusion link on its own line) so it joins the hierarchy instead of becoming an orphan.
- Match the corpus conventions: check an existing document's frontmatter fields before inventing your own schema.
- Do not run `iwe_normalize` across someone's knowledge base unprompted — it rewrites every file's formatting.
## Anti-patterns
- Retrieving with `depth=5` and no `max_tokens` "to get everything" — you will flood the context. Iterate: shallow first, drill selectively.
- Calling `iwe_find` repeatedly with rephrased queries when structural navigation (`iwe_tree`, selectors) would locate the document deterministically.
- Using IWE write tools on `.coyote/memory/` files — wrong tier; that corrupts the memory index.
- Creating documents without linking them into the hierarchy — orphans are invisible to depth-based retrieval.
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---
description: Author executable high-level plans and per-step implementation plans for phased work. Defines the plan repo layout and step-plan schema. Grants filesystem access for grounding plans in real code.
enabled_tools: fs_read, fs_grep, fs_glob, fs_ls, fs_cat, fs_write
---
You are writing implementation plans that a DIFFERENT agent will execute later, in a fresh session, with zero access to this conversation. The plan IS the executor's entire context. A plan that needs the conversation to make sense is a broken plan.
## Plan repo layout
Default layout (match the existing layout instead if the repo already has one):
```
plans/
plan.md # high-level plan; links each step plan
steps/01-<slug>.md # one file per step, numbered in execution order
handoffs/ # written by executors; see `handoff-protocol`
NOTES.md # rolling durable facts discovered during execution
```
In `plan.md`, link each step plan with an inclusion link (the link alone on its own line). This makes the plan repo an IWE hierarchy — agents navigating a large plan corpus can load `iwe-knowledge-base` and traverse it structurally instead of globbing.
## High-level plan requirements
- Ordered list of steps. Each step is independently implementable and independently verifiable — it compiles and its tests pass WITHOUT any later step existing.
- The dependency graph is explicit and acyclic. If step 4 needs step 2's API, step 4's plan says so.
- Steps are sized for one focused session: roughly 1-5 files of meaningful change. A step that needs "and then also..." is two steps.
- State what the plan does NOT cover. Scope creep starts where scope boundaries are implicit.
## Step plan schema
Every step plan starts with frontmatter:
```yaml
---
step: 3
title: Add retry policy to the fetch client
depends_on: [1, 2]
status: pending # pending | in-progress | complete
---
```
And contains these sections, all mandatory:
| Section | Contents |
|---|---|
| Objective | 1-3 sentences: what exists after this step that didn't before |
| Context | File paths AND pasted code snippets (5-20 lines) showing the patterns to follow. Not just paths — actual code |
| Tasks | Ordered, atomic tasks. Each maps to one todo item for the executor |
| Acceptance criteria | Measurable behaviors. These become the tests |
| Test commands | Exact commands to run, from the repo root |
| Edge cases | Known edge cases this step must handle or explicitly punt on |
| Out of scope | What the executor must NOT touch, even if tempting |
## Writing for a context-free executor
- Paste code snippets from your exploration into Context. "Follow the pattern in foo.rs" forces the executor to re-do exploration you already did.
- Use repo-relative paths from the project root. Never "the file we discussed."
- Name symbols exactly: `RetryPolicy::backoff`, not "the backoff logic."
- If a decision was made in discussion (X over Y), record the decision AND the one-line reason. The executor will face the same fork and must not re-litigate it.
- Write acceptance criteria as observable behavior ("returns 429 after 3 failed attempts"), not implementation ("uses a for loop"). Criteria that describe implementation produce tautological tests.
## Grounding (before the plan is done)
Plans rot when written from memory. Before finalizing each step plan:
1. `fs_grep` every symbol the plan references — confirm it exists and is spelled right.
2. `fs_read` the files listed in Context — confirm the pasted snippets are current.
3. Confirm the test commands actually exist (check `justfile`, `Makefile`, `package.json` scripts, CI config).
A plan referencing a function that doesn't exist fails the executor at the worst possible time: mid-implementation.
## Edge cases are a first-class section
For every step, enumerate the edge cases you can foresee: empty inputs, concurrent access, error paths, partial failures, migration/compat concerns. If an edge case belongs to a LATER step, write it in that step's plan now — not in a comment, not in your head. Executors are instructed to propagate newly discovered edge cases downstream; make their diff small by having the section exist.
## Anti-patterns
- "As discussed above" / "per our conversation" — the executor has no conversation
- File paths without pasted snippets in Context — forces re-exploration
- Acceptance criteria like "works correctly" — unmeasurable, untestable
- A step that depends on a later step — cycle; re-order or merge
- Omitting Out of scope — the executor will helpfully refactor things you didn't ask for
- Frontmatter without `depends_on` or `status` — breaks status queries and dependency checks
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---
description: Adversarial review of implementation plans against executability, verifiability, and completeness standards. Verdict is OKAY or REJECT with line-referenced complaints. Grants read-only filesystem access for ground-truth checks.
enabled_tools: fs_read, fs_grep, fs_glob, fs_ls, fs_cat
---
You are reviewing an implementation plan BEFORE any code is written. You are the critic, not a co-author: your job is to find the ways this plan fails an executor who has zero conversation context, not to redesign the approach. A flaw caught here costs one plan edit; the same flaw caught mid-implementation costs a deviation, a handoff note, and possibly rework across steps.
The plan schema you are checking against is defined in the `plan-authoring` skill — load it alongside this one if it is not already loaded.
## Review checklist (in order)
### 1. Executability without context
Read the plan as if you know nothing but what is on the page.
- Does every referenced decision carry its rationale, or does it assume a conversation you can't see?
- Does Context contain pasted code snippets, or only file paths (which force re-exploration)?
- Are symbols named exactly? "The validation logic" is not a name.
### 2. Ground truth (verify, don't trust)
Plans are written from exploration that may be stale or wrong. Spot-check claims against the actual codebase:
- `fs_grep` for every function, type, and file the plan references. Flag anything that doesn't exist or is spelled differently.
- `fs_read` 1-2 of the pasted Context snippets at their claimed locations. Flag drift.
- Check that the Test commands exist (`justfile`, `Makefile`, `package.json`, CI config).
A plan that references phantom code is an automatic REJECT.
### 3. Verifiability
- Is every acceptance criterion a measurable, observable behavior? "Works correctly" and "is robust" are unmeasurable — flag them.
- Do the criteria describe behavior rather than implementation? Implementation-shaped criteria produce tautological tests.
- Can each criterion be checked by the listed Test commands, or is there a criterion with no way to verify it?
### 4. Dependencies and ordering
- Is `depends_on` present, acyclic, and complete? If the step uses an API introduced in step N, is N listed?
- Does anything in this step silently assume a LATER step's output? That's a cycle the frontmatter hides.
- Is the step independently verifiable — will it build and pass tests without later steps existing?
### 5. Scope and sizing
- Is Out of scope present and specific? Absent scope boundaries invite helpful refactoring.
- Is the step sized for one focused session (~1-5 files of meaningful change)? Flag steps hiding an "and then also".
- Do two steps touch the same code region without an ordering constraint between them?
### 6. Edge cases
- Is the Edge cases section present and non-empty (or explicitly "none foreseen — <reason>")?
- Think adversarially for 60 seconds: empty inputs, concurrency, error paths, partial failure, compat. Anything obvious the plan misses?
- If this step creates a new surface (API, config, schema), do DOWNSTREAM step plans account for it where they must?
## Verdict format
End with exactly one of:
```
PLAN_REVIEW: OKAY
<optional: 1-3 non-blocking observations>
```
```
PLAN_REVIEW: REJECT
Complaints:
1. <file>:<line or section> — <what is wrong> — <what would fix it>
2. ...
```
Every complaint must be actionable and point at a specific location. "The plan could be clearer" is noise; "steps/03-retry.md, Acceptance criteria #2 — 'handles errors gracefully' is unmeasurable — specify the expected behavior per error class" is signal.
## Scope discipline
- Review THE PLAN, not the design. If the approach is defensible, do not relitigate it because you'd have chosen differently. Flag design only when it is factually broken (races, missing dependency, contradicts the codebase).
- Do not rewrite the plan yourself. Complaints, not patches — the author owns the fix.
- Three strong complaints beat fifteen weak ones. If you have fifteen, the plan needs a rewrite, not a list: say so.
## Anti-patterns
- Approving without running a single ground-truth check — a syntax review, not a plan review
- REJECT for style or phrasing while missing a phantom-symbol reference
- Redesigning the author's approach in your complaints
- Vague complaints with no location and no fix direction
- Rubber-stamping a step with no acceptance criteria because "the tasks look reasonable"
@@ -1,85 +0,0 @@
---
description: End-to-end protocol for executing one step of a phased implementation plan - orient, staleness check, checklist, implement, edge-case sweep, verify, review, handoff, approval. Grants shell access for build/test commands.
enabled_tools: execute_command
---
You are executing ONE step of a phased implementation plan. Previous steps were executed in sessions you cannot see; later steps depend on what you do and document. The protocol below is ordered — do not skip phases, do not reorder them.
Companion skills: load `handoff-protocol` before Phase 1 (you must READ a handoff correctly) and keep it loaded for Phase 8 (you must WRITE one). Load `verification-gates` for Phase 6. The plan schema is defined in `plan-authoring`.
## Phase 1 - Orient
1. Read the previous step's handoff (`plans/handoffs/`, highest step number below yours). If none exists, you are step 1.
2. Read the current step plan (`plans/steps/`). Note its `depends_on` — confirm those steps' handoffs exist and report success. If a dependency failed or is missing, STOP and escalate via `user__ask`.
3. Read `plans/NOTES.md` for durable facts discovered by earlier steps.
4. Apply anything the previous handoff directed at your step (approved plan updates, warnings).
5. Set the plan's frontmatter `status: in-progress`.
## Phase 2 - Staleness check (BEFORE any edit)
The plan was written before steps 1..N-1 changed the codebase. Verify its assumptions still hold:
- Grep the symbols the plan references — do they still exist, with the claimed signatures?
- Read the plan's Context snippets at their claimed locations — has the code drifted?
- Confirm the Test commands still work.
Discrepancies are deviations — handle them via Phase 5's protocol BEFORE implementing. Executing a stale plan literally is the primary failure mode of phased work.
## Phase 3 - Checklist
`todo__init` with the step objective, then one `todo__add` per task in the plan's Tasks section, in order. Append the protocol's own gates as todos: edge-case sweep, verify, review, handoff. Mark items done with `todo__done` as you go — never batch. The checklist is what survives context compression; keep it truthful.
When you spawn an agent whose session you may need to resume, embed its session_id in the corresponding todo item text (`"Implement task 3 (coder ses_abc123)"`). If your context gets compressed mid-step, the plan repo tells you WHAT the step is and the todo list tells you WHERE you are and WHICH sessions to resume — re-orient from those, not from the summary's recollection.
## Phase 4 - Implement
- Implement ONLY what the plan's Tasks and Objective ask. Out of scope means out of scope.
- Follow the patterns pasted in the plan's Context. When plan and current codebase disagree, the codebase wins — record the deviation.
- Write tests from the plan's Acceptance criteria, not from your implementation. Criteria-first tests catch what tautological tests cannot.
- While in the code, note (do not fix) anything the planning exploration missed — feed it to Phase 5.
## Phase 5 - Edge-case sweep and deviations
**Edge cases.** For each edge case you discovered: if it belongs to THIS step, handle it (or punt explicitly in the handoff with a reason). If it belongs to a LATER step, check that step's plan — if the plan already covers it, done; if not, add it to that plan's Edge cases section and record the addition in your handoff.
**Deviations.** Classify each:
| Class | Definition | Action |
|---|---|---|
| Minor | Same objective and scope, mechanics differ (renamed symbol, moved file, extra helper) | Resolve it, document in handoff |
| Major | Changes scope, approach, interfaces, or invalidates a later step's assumptions | Do NOT silently proceed. Either escalate via `user__ask`, or write a proposed downstream-plan diff into the handoff per `handoff-protocol` |
Never rewrite a later step's Objective, Tasks, or Out of scope directly — edge-case annotations are the only direct downstream edit you may make.
## Phase 6 - Verify (order matters)
1. Formatter (if configured) — format BEFORE collecting evidence, so evidence reflects final code.
2. Linter (if configured) — fix findings your change introduced.
3. Build/typecheck — exit code 0.
4. FULL test suite — not just your new tests; regressions in untouched code are your problem if your change caused them.
Capture commands and exit codes verbatim — they go in the handoff as evidence. Pre-existing failures: note explicitly, don't fix, don't hide. Apply the 3-strike rule: after 3 failed fix attempts, stop, revert to working state, escalate.
## Phase 7 - Review
Self-review the diff with `code-review` + `ai-slop-remover` loaded. For broad steps (5+ files or crossing architectural boundaries), request an independent pass (`code-reviewer` agent) instead. Fix blockers; re-run Phase 6 after any fix.
## Phase 8 - Handoff
Gate: every todo is either done or explicitly deferred with a reason. No silent drops.
Write the handoff per `handoff-protocol` — schema, pasted evidence, deviations, downstream updates, notes for the next step. Append durable, step-independent facts to `plans/NOTES.md`. Set the plan's frontmatter `status: complete`.
## Phase 9 - User approval
Present: what was done, deviations, downstream plan changes (made or proposed), evidence summary, handoff location. Then STOP — do not begin the next step. If the user requests changes, address them, re-run Phase 6, update the handoff, and present again.
## Anti-patterns
- Editing code before the staleness check — the primary source of mid-step surprises
- Implementing "while I'm here" improvements outside the plan's scope
- Tests derived from the implementation instead of the acceptance criteria
- Collecting build/test evidence BEFORE formatting/linting, then shipping different bytes
- Running only your new tests and claiming "tests pass"
- Silently absorbing a major deviation instead of escalating or proposing a plan diff
- Rewriting downstream plan scope directly instead of proposing per `handoff-protocol`
- Starting the next step without user approval
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@@ -7,15 +7,12 @@
# - <agent-name>_TOP_P
# - <agent-name>_GLOBAL_TOOLS (as a JSON string array)
# - <agent-name>_MCP_SERVERS (as a JSON string array)
# - <agent-name>_SPAWNABLE_AGENTS (as a JSON string array; see spawnable_agents below)
# - <agent-name>_AGENT_SESSION
# - <agent-name>_VARIABLES (as JSON array of key-value pairs; e.g. '[{"name": "username", "value": "alex"}]')
model: openai:gpt-4o # Specify the LLM to use
temperature: null # Set default temperature parameter, range (0, 1)
top_p: null # Set default top-p parameter, with a range of (0, 1) or (0, 2) depending on the model
reasoning_effort: null # Reasoning effort level for models that support it (e.g. low, medium, high).
# Only valid when the agent's model declares reasoning_levels.
agent_session: null # Set a session to use when starting the agent. (e.g. temp, default); defaults to globally set agent_session
name: <agent-name> # Name of the agent, used in the UI and logs
description: <description> # Description of the agent, used in the UI
@@ -33,12 +30,6 @@ continuation_prompt: null # Custom prompt used when auto-continuing (opti
# Enable this agent to spawn and manage child agents in parallel.
# See https://github.com/Dark-Alex-17/coyote/wiki/Agents for detailed documentation.
can_spawn_agents: false # Enable the agent to spawn child agents
# spawnable_agents: # Optional whitelist restricting which agents can be spawned via `agent__spawn`.
# - explore # If omitted (the default), ALL installed agents are spawnable. This is the unrestricted default.
# - coder # Provide a list to restrict. Match is exact and case-sensitive (use directory names).
# - oracle # An empty list ([]) means literally nothing spawnable.
# Also filters `agent__list_available` output so the LLM only sees what it can spawn.
# Graph agents (graph.yaml) ignore this; they declare spawn targets in agent nodes.
max_concurrent_agents: 4 # Maximum number of agents that can run simultaneously
max_agent_depth: 3 # Maximum nesting depth for sub-agents (prevents runaway spawning)
inject_spawn_instructions: true # Inject the default agent spawning instructions into the agent's system prompt
@@ -101,9 +92,6 @@ conversation_starters: # Optional conversation starters for the agent
- What is the best way to exercise?
- How do I manage my time effectively?
documents: # Optional documents to load for the agent
# To enable graph-based RAG (entity/relationship extraction + knowledge graph retrieval),
# set `rag_extractor_model` in your global config.yaml.
# See https://github.com/Dark-Alex-17/coyote/wiki/RAG#graph-based-rag
- git:/some/repo # Explicitly tell Coyote to use the 'git' document loader using an absolute path
- pdf:some-pdf-file.pdf # Explicitly tell Coyote to use the 'pdf' document loader using a relative path
- https://some-website.com/some-page
+4 -60
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@@ -2,8 +2,6 @@
model: openai:gpt-4o # Specify the LLM to use
temperature: null # Set default temperature parameter (0, 1)
top_p: null # Set default top-p parameter, with a range of (0, 1) or (0, 2) depending on the model
reasoning_effort: null # Reasoning effort level for models that support it (e.g. low, medium, high).
# Only valid when the active model declares reasoning_levels. See the Clients docs.
# ---- Behavior ----
stream: true # Controls whether to use the stream-style APIs when querying for completions from LLM clients.
@@ -20,7 +18,6 @@ agent_session: null # Set a session to use when starting an agent (
# ---- Appearance ----
highlight: true # Controls syntax highlighting
raw_markdown: false # When true, render markdown as raw text with syntax highlighting only. When false (default), transforms markdown syntax (headings, bold, lists, etc.) into styled terminal output
light_theme: false # Activates a light color theme when true. env: COYOTE_LIGHT_THEME
# ---- Miscellaneous ----
@@ -34,7 +31,7 @@ sync_models_url: > # URL to sync model changes from
left_prompt:
'{color.red}{model}){color.green}{?session {?agent {agent}>}{session}{?role /}}{!session {?agent {agent}>}}{role}{?rag @{rag}}{color.cyan}{?session )}{!session >}{color.reset} '
right_prompt:
'{color.cyan}{?reasoning_effort [{reasoning_effort}] }{color.purple}{?session {?consume_tokens {consume_tokens}({consume_percent}%)}{!consume_tokens {consume_tokens}}}{color.reset}'
'{color.purple}{?session {?consume_tokens {consume_tokens}({consume_percent}%)}{!consume_tokens {consume_tokens}}}{color.reset}'
# ---- Vault ----
# See the [Vault documentation](https://github.com/Dark-Alex-17/coyote/wiki/Vault) for more information on the Coyote vault.
@@ -94,7 +91,6 @@ enabled_tools: null # Which tools to enable by default.
# Example (comma-separated form):
# enabled_tools: fs,web_search_coyote
visible_tools: # Which tools are visible to be compiled (and are thus able to be defined in 'enabled_tools')
# - ast_grep.sh
# - demo_py.py
# - demo_sh.sh
# - demo_ts.ts
@@ -137,14 +133,6 @@ enabled_mcp_servers: null # Which MCP servers to enable by default.
# - slack
# Example (comma-separated form):
# enabled_mcp_servers: github,slack,ddg-search
no_workspace_mcp: false # Disable loading workspace-local MCP servers (default: false).
# When false (the default), Coyote merges the first workspace MCP config it finds
# into the global MCP registry at startup, checking in order:
# 1. .coyote/mcp.json
# 2. .coyote/.mcp.json (Claude-style file name)
# 3. .mcp.json (project root; Claude Code convention)
# Workspace entries shadow global ones on name collision.
# Set to true (or pass --no-workspace-mcp) to skip this entirely.
# ---- Skills ----
# Skills are modular knowledge or capability packs the LLM can load and unload mid-conversation.
@@ -187,13 +175,11 @@ summarization_prompt: > # The text prompt used for creating a concise s
'Summarize the discussion briefly in 200 words or less to use as a prompt for future context.'
summary_context_prompt: > # The text prompt used for including the summary of the entire session as context to the model
'This is a summary of the chat history as a recap: '
compression_keep_last: 0 # Number of most-recent messages to keep visible after compression (0 = compress all messages)
max_tool_result_chars: null # Cap on tool result characters forwarded to the model per call (null = no cap)
# ---- Memory ----
# See the [Memory documentation](https://github.com/Dark-Alex-17/coyote/wiki/Memory) for more information.
# Memory is opt-in by workspace presence (`.coyote/memory/MEMORY.md`) and global
# presence (`<config_dir>/memory/MEMORY.md`). Set `memory: false` to disable
# Memory is opt-in by workspace presence (a `COYOTE.md` or `.coyote/memory/MEMORY.md`)
# and global presence (`<config_dir>/memory/MEMORY.md`). Set `memory: false` to disable
# even when memory files exist. The cascade is: agent > session > role > app.
# Bootstrap with `coyote --init-memory [global|workspace]` to create the marker file
# the LLM needs before it will write any memory.
@@ -203,18 +189,6 @@ memory_cap_with_tools: null # Char cap for injected memory when function ca
memory_cap_without_tools: null # Char cap when function calling is unavailable (default: 12000).
# Indexes plus drill file bodies are injected up to this cap.
# ---- Workspace Instructions ----
# Human-curated project instructions injected read-only into the system prompt, in full.
# Coyote walks up from the current directory and injects the first match from the file
# chain below (per directory, in order). Scaffold with `coyote --init-instructions`.
# Disable per-invocation with --no-workspace-instructions, or override the chain with
# repeatable --workspace-instructions-file flags.
workspace_instructions: null # null/true = inject when an instructions file exists; false = never inject
workspace_instructions_files: null # File name chain to search, in priority order.
# Default: [COYOTE.md, AGENTS.md, CLAUDE.md, GEMINI.md]
# Set to a custom list to reorder or drop fallbacks, e.g.:
# workspace_instructions_files: [COYOTE.md]
# ---- RAG ----
# See the [RAG Docs](https://github.com/Dark-Alex-17/coyote/wiki/RAG) for more details.
rag_embedding_model: null # Specifies the embedding model used for context retrieval
@@ -222,9 +196,6 @@ rag_reranker_model: null # Specifies the reranker model used for sorting
rag_top_k: 5 # Specifies the number of documents to retrieve for answering queries
rag_chunk_size: null # Defines the size of chunks for document processing in characters
rag_chunk_overlap: null # Defines the overlap between chunks
rag_extractor_model: null # LLM model for graph-based entity/relationship extraction; when set, enables a graph RAG signal alongside vector and BM25
rag_extractor_prompt: null # Custom extraction prompt template; must contain __CHUNK__ placeholder; defaults to built-in prompt when null
rag_graph_hops: 1 # Number of hops to expand from matched entities at query time (0 = seed nodes only; 1 = direct neighbors; increase for denser graphs)
# Defines the query structure using variables like __CONTEXT__, __SOURCES__, and __INPUT__ to tailor searches to specific needs
rag_template: |
Answer the query based on the context while respecting the rules. (user query, some textual context and rules, all inside xml tags)
@@ -351,38 +322,11 @@ clients:
api_base: https://api.mistral.ai/v1
api_key: '{{MISTRAL_API_KEY}}' # You can either hard-code or inject secrets from the Coyote vault
# See https://docs.x.ai/docs - OAuth via SuperGrok / X Premium+ subscription
# See https://docs.x.ai/docs
- type: openai-compatible
name: xai
api_base: https://api.x.ai/v1
api_key: '{{XAI_API_KEY}}' # You can either hard-code or inject secrets from the Coyote vault
auth: null # When set to 'oauth', Coyote will use OAuth instead of an API key
# Authenticate with `coyote --authenticate` or `.authenticate` in the REPL
# Note: Oauth requires SuperGrok/X Premium+ subscription
# Example: private OpenAI-compatible gateway with client_credentials OAuth
# - type: openai-compatible
# name: acme-gateway
# api_base: https://gateway.acme.com/v1
# auth: oauth
# oauth:
# client_id: '{{ACME_CLIENT_ID}}'
# client_secret: '{{ACME_CLIENT_SECRET}}'
# token_url: https://auth.acme.com/oauth/token
# scopes: [openai.chat]
# flow: client_credentials
# Example: OAuth via Device Authorization Grant (RFC 8628 — for CLIs like Moonshot's kimi-code, MiniMax mmx, etc.)
# - type: openai-compatible
# name: moonshot
# api_base: https://api.kimi.com/coding/v1
# auth: oauth
# oauth:
# client_id: '{{MOONSHOT_CLIENT_ID}}'
# device_authorization_url: https://auth.kimi.com/api/oauth/device_authorization
# token_url: https://auth.kimi.com/api/oauth/token
# flow: device_code
# # use_pkce_in_device_flow: true # enable if your provider requires PKCE with device flow
# See https://docs.ai21.com/docs/overview
- type: openai-compatible
-2
View File
@@ -8,8 +8,6 @@ name: <role-name> # The name of the role
model: openai:gpt-4o # The model to use for this role
temperature: 0.2 # The temperature to use for this role when querying the model
top_p: 0 # The top_p to use for this role when querying the model
reasoning_effort: null # Reasoning effort level for models that support it (e.g. low, medium, high).
# Only valid when the role's model declares reasoning_levels.
enabled_tools: # Tools to enable for this role. Accepts a YAML list (preferred)
- fs_ls # or a comma-separated string (e.g. `enabled_tools: fs_ls,fs_cat`).
- fs_cat # Use `all` to enable every visible tool.
+1 -1
View File
@@ -14,7 +14,7 @@ class Coyote < Formula
sha256 "$hash_linux"
end
version "$version"
license "AGPL-3.0-only"
license "MIT"
def install
bin.install "coyote"
-6
View File
@@ -33,8 +33,6 @@ version: "1.0" # Graph schema version. Only "1.0" is accepte
model: claude:claude-sonnet-4-6 # Default model for `llm` nodes that don't override it
temperature: 0.0 # Default sampling temperature for `llm` nodes
top_p: null # Default sampling top-p for `llm` nodes
reasoning_effort: null # Default reasoning effort for `llm` nodes that don't override it.
# Only valid when the model declares reasoning_levels.
global_tools: # Tool universe an `llm` node's `tools:` whitelist draws from
- web_search_coyote.sh
@@ -227,9 +225,6 @@ nodes:
chunk_size: 1000
chunk_overlap: 100
reranker_model: null # Optional reranker for hybrid-search results
extractor_model: null # Optional chat model for graph-based entity/relationship extraction; enables graph RAG signal when set
extractor_prompt: null # Optional custom extraction prompt; must contain __CHUNK__ placeholder; uses built-in prompt when null
graph_hops: 1 # Graph expansion depth at query time (0 = seed nodes only; 1 = direct neighbors; increase for denser knowledge graphs)
batch_size: 100 # Optional embedding-request batch size
state_updates: # {{output}} = { context: <str>, sources: [<path>, ...] }
context: "{{output.context}}" # writes `context` -> `reducers.context = concat`
@@ -396,7 +391,6 @@ nodes:
- mcp:ddg-search # `mcp:<server>` includes that server's functions
model: claude:claude-haiku-4-5 # Optional per-node model override
temperature: 0.3 # Optional per-node sampling override
reasoning_effort: null # Optional per-node reasoning effort override (e.g. low, medium, high)
max_attempts: 2 # Retry count on transient errors only. Default 1.
max_iterations: 10 # Tool-call-loop turn cap. Default 10.
fallback: review # Route here if all attempts fail
-13
View File
@@ -23,16 +23,3 @@ fmt:
[arg('build_type', pattern="debug|release")]
build build_type='debug':
@cargo build {{ if build_type == "release" { "--release" } else { "" } }}
# Build a multi-platform Docker image (linux/amd64 + linux/arm64).
# Requires an active buildx builder with multi-platform support and a registry login.
# version: must match an existing GitHub release tag (e.g. 0.7.4)
# image: registry/image name to push to (default: darkalex17/coyote)
[group: 'build']
docker-build version image='darkalex17/coyote':
docker buildx build \
--platform linux/amd64,linux/arm64 \
--build-arg COYOTE_VERSION={{ version }} \
--tag {{ image }}:{{ version }} \
--tag {{ image }}:latest \
.
+2 -420
View File
@@ -3,33 +3,6 @@
# - https://platform.openai.com/docs/api-reference/chat
- provider: openai
models:
- name: gpt-5.6-sol
max_input_tokens: 1050000
max_output_tokens: 128000
input_price: 5
output_price: 30
supports_vision: true
supports_function_calling: true
reasoning_levels: [none, low, medium, high, xhigh, max]
default_reasoning_effort: medium
- name: gpt-5.6-terra
max_input_tokens: 1050000
max_output_tokens: 128000
input_price: 5
output_price: 30
supports_vision: true
supports_function_calling: true
reasoning_levels: [none, low, medium, high, xhigh, max]
default_reasoning_effort: medium
- name: gpt-5.6-luna
max_input_tokens: 1050000
max_output_tokens: 128000
input_price: 5
output_price: 30
supports_vision: true
supports_function_calling: true
reasoning_levels: [none, low, medium, high, xhigh, max]
default_reasoning_effort: medium
- name: gpt-5.5
max_input_tokens: 1050000
max_output_tokens: 128000
@@ -37,8 +10,6 @@
output_price: 30
supports_vision: true
supports_function_calling: true
reasoning_levels: [none, low, medium, high, xhigh]
default_reasoning_effort: medium
- name: gpt-5.5-pro
max_input_tokens: 1050000
max_output_tokens: 128000
@@ -46,8 +17,6 @@
output_price: 180
supports_vision: true
supports_function_calling: true
reasoning_levels: [medium, high, xhigh]
default_reasoning_effort: high
- name: gpt-5.4
max_input_tokens: 1050000
max_output_tokens: 128000
@@ -55,8 +24,6 @@
output_price: 15
supports_vision: true
supports_function_calling: true
reasoning_levels: [none, low, medium, high, xhigh]
default_reasoning_effort: none
- name: gpt-5.4-pro
max_input_tokens: 1050000
max_output_tokens: 128000
@@ -64,8 +31,6 @@
output_price: 180
supports_vision: true
supports_function_calling: true
reasoning_levels: [medium, high, xhigh]
default_reasoning_effort: medium
- name: gpt-5.4-mini
max_input_tokens: 400000
max_output_tokens: 128000
@@ -73,8 +38,6 @@
output_price: 4.5
supports_vision: true
supports_function_calling: true
reasoning_levels: [none, low, medium, high, xhigh]
default_reasoning_effort: none
- name: gpt-5.4-nano
max_input_tokens: 400000
max_output_tokens: 128000
@@ -82,8 +45,6 @@
output_price: 1.25
supports_vision: true
supports_function_calling: true
reasoning_levels: [none, low, medium, high, xhigh]
default_reasoning_effort: none
- name: gpt-5.3-codex
max_input_tokens: 400000
max_output_tokens: 128000
@@ -91,8 +52,6 @@
output_price: 14
supports_vision: true
supports_function_calling: true
reasoning_levels: [low, medium, high, xhigh]
default_reasoning_effort: medium
- name: chat-latest
max_input_tokens: 400000
max_output_tokens: 128000
@@ -107,17 +66,6 @@
output_price: 14
supports_vision: true
supports_function_calling: true
reasoning_levels: [none, low, medium, high, xhigh]
default_reasoning_effort: none
- name: gpt-5.2-pro
max_input_tokens: 400000
max_output_tokens: 128000
input_price: 21
output_price: 168
supports_vision: true
supports_function_calling: true
reasoning_levels: [medium, high, xhigh]
default_reasoning_effort: medium
- name: gpt-5.1
max_input_tokens: 400000
max_output_tokens: 128000
@@ -125,8 +73,6 @@
output_price: 10
supports_vision: true
supports_function_calling: true
reasoning_levels: [none, low, medium, high]
default_reasoning_effort: none
- name: gpt-5.1-chat-latest
max_input_tokens: 400000
max_output_tokens: 128000
@@ -134,8 +80,6 @@
output_price: 10
supports_vision: true
supports_function_calling: true
reasoning_levels: [none, low, medium, high]
default_reasoning_effort: none
- name: gpt-5
max_input_tokens: 400000
max_output_tokens: 128000
@@ -143,8 +87,6 @@
output_price: 10
supports_vision: true
supports_function_calling: true
reasoning_levels: [minimal, low, medium, high]
default_reasoning_effort: medium
- name: gpt-5-chat-latest
max_input_tokens: 400000
max_output_tokens: 128000
@@ -152,8 +94,6 @@
output_price: 10
supports_vision: true
supports_function_calling: true
reasoning_levels: [minimal, low, medium, high]
default_reasoning_effort: medium
- name: gpt-5-mini
max_input_tokens: 400000
max_output_tokens: 128000
@@ -211,8 +151,6 @@
supports_vision: true
supports_function_calling: true
system_prompt_prefix: Formatting re-enabled
reasoning_levels: [low, medium, high]
default_reasoning_effort: medium
patch:
body:
max_tokens: null
@@ -320,38 +258,24 @@
# - https://ai.google.dev/api/rest/v1beta/models/streamGenerateContent
- provider: gemini
models:
- name: gemini-3.6-flash
max_input_tokens: 1048576
max_output_tokens: 65536
input_price: 1.5
output_price: 7.5
supports_function_calling: true
reasoning_levels: [minimal, low, medium, high]
default_reasoning_level: medium
- name: gemini-3.5-flash
max_input_tokens: 1048576
max_output_tokens: 65536
input_price: 0.2
output_price: 1.5
supports_function_calling: true
reasoning_levels: [minimal, low, medium, high]
default_reasoning_effort: medium
- name: gemini-3-flash-preview
max_input_tokens: 1048576
max_output_tokens: 65536
input_price: 0.2
output_price: 1.5
supports_function_calling: true
reasoning_levels: [minimal, low, medium, high]
default_reasoning_effort: high
- name: gemini-3.1-flash-lite
max_input_tokens: 1048576
max_output_tokens: 65536
input_price: 0.2
output_price: 1.5
supports_function_calling: true
reasoning_levels: [minimal, low, medium, high]
default_reasoning_effort: minimal
- name: gemini-3.1-pro-preview
max_input_tokens: 1048576
max_output_tokens: 65535
@@ -359,8 +283,6 @@
output_price: 2.5
supports_vision: true
supports_function_calling: true
reasoning_levels: [low, medium, high]
default_reasoning_effort: high
- name: gemini-2.5-flash
max_input_tokens: 1048576
max_output_tokens: 65536
@@ -375,8 +297,6 @@
output_price: 0
supports_vision: true
supports_function_calling: true
reasoning_levels: [low, medium, high]
default_reasoning_effort: high
- name: gemini-2.5-flash-lite
max_input_tokens: 1000000
max_output_tokens: 64000
@@ -388,14 +308,10 @@
max_input_tokens: 1048576
supports_vision: true
supports_function_calling: true
reasoning_levels: [low, high]
default_reasoning_level: high
- name: gemini-3-flash-preview
max_input_tokens: 1048576
supports_vision: true
supports_function_calling: true
reasoning_levels: [minimal, low, medium, high]
default_reasoning_level: high
- name: gemma-3-27b-it
max_input_tokens: 131072
max_output_tokens: 8192
@@ -413,16 +329,6 @@
# - https://docs.anthropic.com/en/api/messages
- provider: claude
models:
- name: claude-opus-5
max_input_tokens: 1000000
max_output_tokens: 128000
require_max_tokens: true
input_price: 5
output_price: 25
supports_function_calling: true
supports_vision: true
reasoning_levels: [low, medium, high, xhigh, max]
default_reasoning_effort: high
- name: claude-fable-5
max_input_tokens: 1000000
max_output_tokens: 128000
@@ -431,8 +337,6 @@
output_price: 50
supports_function_calling: true
supports_vision: true
reasoning_levels: [low, medium, high, xhigh, max]
default_reasoning_effort: high
- name: claude-opus-4-8
max_input_tokens: 1000000
max_output_tokens: 128000
@@ -441,8 +345,6 @@
output_price: 25
supports_vision: true
supports_function_calling: true
reasoning_levels: [low, medium, high, xhigh, max]
default_reasoning_effort: high
- name: claude-opus-4-7
max_input_tokens: 1000000
max_output_tokens: 128000
@@ -451,8 +353,6 @@
output_price: 25
supports_vision: true
supports_function_calling: true
reasoning_levels: [low, medium, high, xhigh, max]
default_reasoning_effort: high
- name: claude-opus-4-6
max_input_tokens: 200000
max_output_tokens: 8192
@@ -461,8 +361,6 @@
output_price: 25
supports_vision: true
supports_function_calling: true
reasoning_levels: [low, medium, high, max]
default_reasoning_effort: high
- name: claude-opus-4-6:thinking
real_name: claude-opus-4-6
max_input_tokens: 200000
@@ -479,16 +377,6 @@
thinking:
type: enabled
budget_tokens: 16000
- name: claude-sonnet-5
max_input_tokens: 1000000
max_output_tokens: 128000
require_max_tokens: true
input_price: 3
output_price: 15
supports_vision: true
supports_function_calling: true
reasoning_levels: [low, medium, high, xhigh, max]
default_reasoning_effort: high
- name: claude-sonnet-4-6
max_input_tokens: 200000
max_output_tokens: 8192
@@ -497,8 +385,6 @@
output_price: 15
supports_vision: true
supports_function_calling: true
reasoning_levels: [low, medium, high, max]
default_reasoning_effort: high
- name: claude-sonnet-4-6:thinking
real_name: claude-sonnet-4-6
max_input_tokens: 200000
@@ -822,65 +708,14 @@
# - https://docs.x.ai/docs/models
# - https://docs.x.ai/docs/api-reference#chat-completions
- provider: xai
oauth:
client_id: b1a00492-073a-47ea-816f-4c329264a828
authorize_url: https://auth.x.ai/oauth2/authorize
token_url: https://auth.x.ai/oauth2/token
scopes:
- openid
- profile
- email
- offline_access
- grok-cli:access
- api:access
redirect_port: 56121
flow: pkce
token_request_format: form_url_encoded
extra_authorize_params:
plan: generic
referrer: coyote
echo_pkce_in_token_exchange: true
models:
- name: grok-4.5
input_price: 2
output_price: 6
max_input_tokens: 256000
supports_function_calling: true
- name: grok-build-0.1
input_price: 1
output_price: 2
max_input_tokens: 256000
supports_function_calling: true
- name: grok-4.3
input_price: 1.25
output_price: 2.5
max_input_tokens: 1000000
supports_function_calling: true
- name: grok-4.20
real_name: grok-4.20-multi-agent-0309
input_price: 1.25
output_price: 2.5
max_input_tokens: 1000000
supports_function_calling: true
- name: grok-4.20-reasoning
real_name: grok-4.20-0309-reasoning
input_price: 1.25
output_price: 2.5
max_input_tokens: 1000000
supports_function_calling: true
- name: grok-4.20-non-reasoning
real_name: grok-4.20-0309-non-reasoning
input_price: 1.25
output_price: 2.5
max_input_tokens: 1000000
supports_function_calling: true
- name: grok-4-1-fast-non-reasoning
max_input_tokens: 1000000
max_input_tokens: 2000000
input_price: 0.2
output_price: 0.5
supports_function_calling: true
- name: grok-4-1-fast-reasoning
max_input_tokens: 1000000
max_input_tokens: 2000000
input_price: 0.2
output_price: 0.5
supports_function_calling: true
@@ -992,24 +827,18 @@
input_price: 0.2
output_price: 1.5
supports_function_calling: true
reasoning_levels: [minimal, low, medium, high]
default_reasoning_effort: medium
- name: gemini-3-flash-preview
max_input_tokens: 1048576
max_output_tokens: 65536
input_price: 0.2
output_price: 1.5
supports_function_calling: true
reasoning_levels: [minimal, low, medium, high]
default_reasoning_effort: high
- name: gemini-3.1-flash-lite
max_input_tokens: 1048576
max_output_tokens: 65536
input_price: 0.2
output_price: 1.5
supports_function_calling: true
reasoning_levels: [minimal, high]
default_reasoning_effort: minimal
- name: gemini-3.1-pro-preview
max_input_tokens: 1048576
max_output_tokens: 65536
@@ -1017,8 +846,6 @@
output_price: 12
supports_vision: true
supports_function_calling: true
reasoning_levels: [low, medium, high]
default_reasoning_effort: high
- name: gemini-2.5-flash
max_input_tokens: 1048576
max_output_tokens: 65535
@@ -1026,8 +853,6 @@
output_price: 2.5
supports_vision: true
supports_function_calling: true
reasoning_levels: [low, medium, high]
default_reasoning_effort: medium
- name: gemini-2.5-pro
max_input_tokens: 1048576
max_output_tokens: 65536
@@ -1035,8 +860,6 @@
output_price: 10
supports_vision: true
supports_function_calling: true
reasoning_levels: [low, medium, high]
default_reasoning_effort: high
- name: gemini-2.5-flash-lite
max_input_tokens: 1048576
max_output_tokens: 65536
@@ -1048,24 +871,10 @@
max_input_tokens: 1048576
supports_vision: true
supports_function_calling: true
reasoning_levels: [low, high]
default_reasoning_effort: high
- name: gemini-3-flash-preview
max_input_tokens: 1048576
supports_vision: true
supports_function_calling: true
reasoning_levels: [minimal, low, medium, high]
default_reasoning_effort: high
- name: claude-opus-5
max_input_tokens: 1000000
max_output_tokens: 128000
require_max_tokens: true
input_price: 5
output_price: 25
supports_function_calling: true
supports_vision: true
reasoning_levels: [low, medium, high, xhigh, max]
default_reasoning_effort: high
- name: claude-fable-5
max_input_tokens: 1000000
max_output_tokens: 128000
@@ -1074,8 +883,6 @@
output_price: 50
supports_function_calling: true
supports_vision: true
reasoning_levels: [low, medium, high, xhigh, max]
default_reasoning_effort: high
- name: claude-opus-4-8
max_input_tokens: 1000000
max_output_tokens: 128000
@@ -1084,8 +891,6 @@
output_price: 25
supports_vision: true
supports_function_calling: true
reasoning_levels: [low, medium, high, xhigh, max]
default_reasoning_effort: high
- name: claude-opus-4-7
max_input_tokens: 1000000
max_output_tokens: 128000
@@ -1094,8 +899,6 @@
output_price: 25
supports_vision: true
supports_function_calling: true
reasoning_levels: [low, medium, high, xhigh, max]
default_reasoning_effort: high
- name: claude-opus-4-6
max_input_tokens: 200000
max_output_tokens: 8192
@@ -1119,16 +922,6 @@
thinking:
type: enabled
budget_tokens: 16000
- name: claude-sonnet-5
max_input_tokens: 1000000
max_output_tokens: 128000
require_max_tokens: true
input_price: 3
output_price: 15
supports_vision: true
supports_function_calling: true
reasoning_levels: [low, medium, high, xhigh, max]
default_reasoning_effort: high
- name: claude-sonnet-4-6
max_input_tokens: 200000
max_output_tokens: 8192
@@ -1137,8 +930,6 @@
output_price: 15
supports_vision: true
supports_function_calling: true
reasoning_levels: [low, medium, high, max]
default_reasoning_effort: high
- name: claude-sonnet-4-6:thinking
real_name: claude-sonnet-4-6
max_input_tokens: 200000
@@ -1263,16 +1054,6 @@
# - https://docs.aws.amazon.com/bedrock/latest/userguide/conversation-inference-call.html
- provider: bedrock
models:
- name: us.anthropic.claude-opus-5
max_input_tokens: 1000000
max_output_tokens: 128000
require_max_tokens: true
input_price: 5
output_price: 25
supports_function_calling: true
supports_vision: true
reasoning_levels: [low, medium, high, xhigh, max]
default_reasoning_effort: high
- name: us.anthropic.claude-fable-5
max_input_tokens: 1000000
max_output_tokens: 128000
@@ -1281,8 +1062,6 @@
output_price: 50
supports_function_calling: true
supports_vision: true
reasoning_levels: [low, medium, high, xhigh, max]
default_reasoning_effort: high
- name: us.anthropic.claude-opus-4-8
max_input_tokens: 1000000
max_output_tokens: 128000
@@ -1291,8 +1070,6 @@
output_price: 25
supports_vision: true
supports_function_calling: true
reasoning_levels: [low, medium, high, xhigh, max]
default_reasoning_effort: high
- name: us.anthropic.claude-opus-4-7
max_input_tokens: 1000000
max_output_tokens: 128000
@@ -1301,8 +1078,6 @@
output_price: 25
supports_vision: true
supports_function_calling: true
reasoning_levels: [low, medium, high, xhigh, max]
default_reasoning_effort: high
- name: us.anthropic.claude-opus-4-6-v1
max_input_tokens: 200000
max_output_tokens: 8192
@@ -1311,8 +1086,6 @@
output_price: 25
supports_vision: true
supports_function_calling: true
reasoning_levels: [low, medium, high, max]
default_reasoning_effort: high
- name: us.anthropic.claude-opus-4-6-v1:thinking
real_name: us.anthropic.claude-opus-4-6-v1
max_input_tokens: 200000
@@ -1330,16 +1103,6 @@
thinking:
type: enabled
budget_tokens: 16000
- name: us.anthropic.claude-sonnet-5
max_input_tokens: 1000000
max_output_tokens: 128000
require_max_tokens: true
input_price: 3
output_price: 15
supports_vision: true
supports_function_calling: true
reasoning_levels: [low, medium, high, xhigh, max]
default_reasoning_effort: high
- name: us.anthropic.claude-sonnet-4-6
max_input_tokens: 200000
max_output_tokens: 8192
@@ -1348,8 +1111,6 @@
output_price: 15
supports_vision: true
supports_function_calling: true
reasoning_levels: [low, medium, high, max]
default_reasoning_effort: high
- name: us.anthropic.claude-sonnet-4-6:thinking
real_name: us.anthropic.claude-sonnet-4-6
max_input_tokens: 200000
@@ -1731,30 +1492,6 @@
# - https://platform.moonshot.cn/docs/api/chat#%E5%85%AC%E5%BC%80%E7%9A%84%E6%9C%8D%E5%8A%A1%E5%9C%B0%E5%9D%80
- provider: moonshot
models:
- name: kimi-k3
max_input_tokens: 1048576
input_price: 3
output_price: 15
supports_vision: true
supports_function_calling: true
- name: kimi-k2.7-code
max_input_tokens: 262144
input_price: 0.95
output_price: 4
supports_vision: true
supports_function_calling: true
- name: kimi-k2.7-code-highspeed
max_input_tokens: 262144
input_price: 1.9
output_price: 8
supports_vision: true
supports_function_calling: true
- name: kimi-k2.6
max_input_tokens: 262144
input_price: 0.95
output_price: 4
supports_vision: true
supports_function_calling: true
- name: kimi-k2.5
max_input_tokens: 262144
input_price: 0.56
@@ -1789,18 +1526,6 @@
# - https://platform.deepseek.com/api-docs/api/create-chat-completion
- provider: deepseek
models:
- name: deepseek-v4-pro
max_input_tokens: 1000000
max_output_tokens: 384000
input_price: 0.435
output_price: 0.87
supports_function_calling: true
- name: deepseek-v4-flash
max_input_tokens: 1000000
max_output_tokens: 384000
input_price: 0.14
output_price: 0.28
supports_function_calling: true
- name: deepseek-chat
max_input_tokens: 64000
max_output_tokens: 8192
@@ -1869,16 +1594,6 @@
# - https://platform.minimaxi.com/document/ChatCompletion%20v2
- provider: minimax
models:
- name: minimax-m3
max_input_tokens: 1000000
input_price: 4.2
output_price: 16.8
supports_function_calling: true
- name: minimax-m2.7
max_input_tokens: 204800
input_price: 0.294
output_price: 1.176
supports_function_calling: true
- name: minimax-m2.5
max_input_tokens: 204800
input_price: 0.294
@@ -1905,33 +1620,6 @@
# - https://openrouter.ai/docs/api-reference/chat-completion
- provider: openrouter
models:
- name: openai/gpt-5.6-sol
max_input_tokens: 1050000
max_output_tokens: 128000
input_price: 5
output_price: 30
supports_vision: true
supports_function_calling: true
reasoning_levels: [none, low, medium, high, xhigh, max]
default_reasoning_effort: medium
- name: openai/gpt-5.6-terra
max_input_tokens: 1050000
max_output_tokens: 128000
input_price: 5
output_price: 30
supports_vision: true
supports_function_calling: true
reasoning_levels: [none, low, medium, high, xhigh, max]
default_reasoning_effort: medium
- name: openai/gpt-5.6-luna
max_input_tokens: 1050000
max_output_tokens: 128000
input_price: 5
output_price: 30
supports_vision: true
supports_function_calling: true
reasoning_levels: [none, low, medium, high, xhigh, max]
default_reasoning_effort: medium
- name: openai/gpt-5.5
max_input_tokens: 1050000
max_output_tokens: 128000
@@ -1939,8 +1627,6 @@
output_price: 30
supports_vision: true
supports_function_calling: true
reasoning_levels: [none, low, medium, high, xhigh]
default_reasoning_effort: medium
- name: openai/gpt-5.5-pro
max_input_tokens: 1050000
max_output_tokens: 128000
@@ -1948,8 +1634,6 @@
output_price: 180
supports_vision: true
supports_function_calling: true
reasoning_levels: [medium, high, xhigh]
default_reasoning_effort: high
- name: openai/gpt-5.4
max_input_tokens: 1050000
max_output_tokens: 128000
@@ -1957,8 +1641,6 @@
output_price: 15
supports_vision: true
supports_function_calling: true
reasoning_levels: [none, low, medium, high, xhigh]
default_reasoning_effort: none
- name: openai/gpt-5.4-pro
max_input_tokens: 1050000
max_output_tokens: 128000
@@ -1966,8 +1648,6 @@
output_price: 180
supports_vision: true
supports_function_calling: true
reasoning_levels: [medium, high, xhigh]
default_reasoning_effort: medium
- name: openai/gpt-5.4-mini
max_input_tokens: 400000
max_output_tokens: 128000
@@ -1975,8 +1655,6 @@
output_price: 4.5
supports_vision: true
supports_function_calling: true
reasoning_levels: [none, low, medium, high, xhigh]
default_reasoning_effort: none
- name: openai/gpt-5.4-nano
max_input_tokens: 400000
max_output_tokens: 128000
@@ -1984,8 +1662,6 @@
output_price: 1.25
supports_vision: true
supports_function_calling: true
reasoning_levels: [none, low, medium, high, xhigh]
default_reasoning_effort: none
- name: openai/gpt-5.3-codex
max_input_tokens: 400000
max_output_tokens: 128000
@@ -1993,8 +1669,6 @@
output_price: 14
supports_vision: true
supports_function_calling: true
reasoning_levels: [low, medium, high, xhigh]
default_reasoning_effort: medium
- name: openai/gpt-5.2
max_input_tokens: 400000
max_output_tokens: 128000
@@ -2002,17 +1676,6 @@
output_price: 14
supports_vision: true
supports_function_calling: true
reasoning_levels: [none, low, medium, high, xhigh]
default_reasoning_effort: none
- name: openai/gpt-5.2-pro
max_input_tokens: 400000
max_output_tokens: 128000
input_price: 21
output_price: 168
supports_vision: true
supports_function_calling: true
reasoning_levels: [medium, high, xhigh]
default_reasoning_effort: medium
- name: openai/gpt-5
max_input_tokens: 400000
max_output_tokens: 128000
@@ -2020,8 +1683,6 @@
output_price: 10
supports_vision: true
supports_function_calling: true
reasoning_levels: [minimal, low, medium, high]
default_reasoning_effort: medium
- name: openai/gpt-5-mini
max_input_tokens: 400000
max_output_tokens: 128000
@@ -2059,67 +1720,18 @@
input_price: 0.04
output_price: 0.16
supports_function_calling: true
- name: google/gemini-3.5-flash
max_input_tokens: 1048576
max_output_tokens: 65536
input_price: 0.2
output_price: 1.5
supports_function_calling: true
reasoning_levels: [minimal, low, medium, high]
default_reasoning_effort: medium
- name: google/gemini-3-flash-preview
max_input_tokens: 1048576
max_output_tokens: 65536
input_price: 0.2
output_price: 1.5
supports_function_calling: true
reasoning_levels: [minimal, low, medium, high]
default_reasoning_effort: high
- name: google/gemini-3.1-flash-lite
max_input_tokens: 1048576
max_output_tokens: 65536
input_price: 0.2
output_price: 1.5
supports_function_calling: true
reasoning_levels: [minimal, low, medium, high]
default_reasoning_effort: minimal
- name: google/gemini-3.1-pro-preview
max_input_tokens: 1048576
max_output_tokens: 65535
input_price: 0.3
output_price: 2.5
supports_vision: true
supports_function_calling: true
reasoning_levels: [low, medium, high]
default_reasoning_effort: high
- name: google/gemini-3-pro-preview
max_input_tokens: 1048576
supports_vision: true
supports_function_calling: true
reasoning_levels: [low, high]
default_reasoning_level: high
- name: google/gemini-3-flash-preview
max_input_tokens: 1048576
supports_vision: true
supports_function_calling: true
reasoning_levels: [minimal, low, medium, high]
default_reasoning_level: high
- name: google/gemini-2.5-flash
max_input_tokens: 1048576
input_price: 0.3
output_price: 2.5
supports_vision: true
supports_function_calling: true
reasoning_levels: [low, medium, high]
default_reasoning_effort: low
- name: google/gemini-2.5-pro
max_input_tokens: 1048576
input_price: 1.25
output_price: 10
supports_vision: true
supports_function_calling: true
reasoning_levels: [low, medium, high]
default_reasoning_effort: high
- name: google/gemini-2.5-flash-lite
max_input_tokens: 1048576
input_price: 0.3
@@ -2141,16 +1753,6 @@
max_input_tokens: 131072
input_price: 0.1
output_price: 0.2
- name: anthropic/claude-opus-5
max_input_tokens: 1000000
max_output_tokens: 128000
require_max_tokens: true
input_price: 5
output_price: 25
supports_function_calling: true
supports_vision: true
reasoning_levels: [low, medium, high, xhigh, max]
default_reasoning_effort: high
- name: anthropic/claude-fable-5
max_input_tokens: 1000000
max_output_tokens: 128000
@@ -2159,8 +1761,6 @@
output_price: 50
supports_function_calling: true
supports_vision: true
reasoning_levels: [low, medium, high, xhigh, max]
default_reasoning_effort: high
- name: anthropic/claude-opus-4-8
max_input_tokens: 1000000
max_output_tokens: 128000
@@ -2169,8 +1769,6 @@
output_price: 25
supports_vision: true
supports_function_calling: true
reasoning_levels: [low, medium, high, xhigh, max]
default_reasoning_effort: high
- name: anthropic/claude-opus-4-7
max_input_tokens: 1000000
max_output_tokens: 128000
@@ -2179,8 +1777,6 @@
output_price: 25
supports_vision: true
supports_function_calling: true
reasoning_levels: [low, medium, high, xhigh, max]
default_reasoning_effort: high
- name: anthropic/claude-opus-4.6
max_input_tokens: 200000
max_output_tokens: 8192
@@ -2189,18 +1785,6 @@
output_price: 25
supports_vision: true
supports_function_calling: true
reasoning_levels: [low, medium, high, max]
default_reasoning_effort: high
- name: anthropic/claude-sonnet-5
max_input_tokens: 1000000
max_output_tokens: 128000
require_max_tokens: true
input_price: 3
output_price: 15
supports_vision: true
supports_function_calling: true
reasoning_levels: [low, medium, high, xhigh, max]
default_reasoning_effort: high
- name: anthropic/claude-sonnet-4.6
max_input_tokens: 200000
max_output_tokens: 8192
@@ -2209,8 +1793,6 @@
output_price: 15
supports_vision: true
supports_function_calling: true
reasoning_levels: [low, medium, high, max]
default_reasoning_effort: high
- name: anthropic/claude-opus-4.5
max_input_tokens: 200000
max_output_tokens: 8192
+3 -3
View File
@@ -39,7 +39,7 @@ switch ([System.Runtime.InteropServices.RuntimeInformation]::OSArchitecture) {
if (-not $BinDir) {
if ($isWin) { $BinDir = Join-Path $env:LOCALAPPDATA 'coyote\bin' }
else { $userHome = $env:HOME; if (-not $userHome) { $userHome = (Get-Item -Path ~).FullName }; $BinDir = Join-Path $userHome '.local/bin' }
else { $home = $env:HOME; if (-not $home) { $home = (Get-Item -Path ~).FullName }; $BinDir = Join-Path $home '.local/bin' }
}
New-Item -ItemType Directory -Force -Path $BinDir | Out-Null
@@ -95,13 +95,13 @@ if ($asset.name -match '\.zip$') {
[System.IO.Compression.ZipFile]::ExtractToDirectory($archive, $extractDir)
} elseif ($asset.name -match '\.tar\.gz$' -or $asset.name -match '\.tgz$') {
$tar = Get-Command tar -ErrorAction SilentlyContinue
if ($tar) { & $tar.Source -xzf $archive -C $extractDir }
if ($tar) { & $tar.FullName -xzf $archive -C $extractDir }
else { Fail "Asset is tar archive but 'tar' is not available." }
} else {
try { Add-Type -AssemblyName System.IO.Compression.FileSystem; [System.IO.Compression.ZipFile]::ExtractToDirectory($archive, $extractDir) }
catch {
$tar = Get-Command tar -ErrorAction SilentlyContinue
if ($tar) { & $tar.Source -xf $archive -C $extractDir } else { Fail "Unknown archive format; neither zip nor tar workable." }
if ($tar) { & $tar.FullName -xf $archive -C $extractDir } else { Fail "Unknown archive format; neither zip nor tar workable." }
}
}
Executable → Regular
+22 -13
View File
@@ -133,21 +133,30 @@ else
echo "Error: unsupported OS for this installer: $OS" >&2; exit 1
fi
DL_URLS=$(grep -oE '"browser_download_url":[[:space:]]*"[^"]+"' "$JSON" \
| sed -E 's/.*"browser_download_url":[[:space:]]*"//; s/"$//' \
|| true)
ASSET_NAME=""; ASSET_URL=""
for candidate in "${ASSET_CANDIDATES[@]}"; do
while IFS= read -r url; do
[[ -z "$url" ]] && continue
if [[ "$url" == */"$candidate" ]]; then
ASSET_NAME="$candidate"
ASSET_URL="$url"
break
fi
done <<< "$DL_URLS"
[[ -n "$ASSET_URL" ]] && break
NAME=$(grep -oE '"name":\s*"[^"]+"' "$JSON" | sed 's/"name":\s*"//; s/"$//' | grep -Fx "$candidate" || true)
if [[ -n "$NAME" ]]; then
ASSET_NAME="$NAME"
ASSET_URL=$(awk -v pat="$NAME" '
BEGIN{ FS=":"; want=0 }
/"name"/ {
line=$0;
gsub(/^\s+|\s+$/,"",line);
gsub(/"name"\s*:\s*"|"/ ,"", line);
want = (line==pat) ? 1 : 0;
next
}
want==1 && /"browser_download_url"/ {
u=$0;
gsub(/^\s+|\s+$/,"",u);
gsub(/.*"browser_download_url"\s*:\s*"|".*/ ,"", u);
print u;
exit
}
' "$JSON")
if [[ -n "$ASSET_URL" ]]; then break; fi
fi
done
if [[ -z "$ASSET_URL" ]]; then
-4
View File
@@ -1,4 +0,0 @@
mod server;
mod types;
pub use server::run_acp_server;
-670
View File
@@ -1,670 +0,0 @@
use super::types::{METHOD_NOT_FOUND, PARSE_ERROR, Request, Response};
use crate::client::call_chat_completions_streaming;
use crate::config::{Input, RenderMode, RequestContext};
use crate::function::supervisor::{GuardrailAction, check_pending_agents_guardrail};
use crate::utils;
use crate::utils::AbortSignal;
use anyhow::Result;
use serde_json::{Value, json};
use std::sync::Arc;
use tokio::io::{AsyncBufReadExt, AsyncRead, AsyncWrite, AsyncWriteExt, BufReader};
pub(crate) struct AcpServerState {
ctx: Option<RequestContext>,
abort: AbortSignal,
session_active: bool,
}
pub async fn run_acp_server(ctx: RequestContext, abort: AbortSignal) -> Result<()> {
let state = AcpServerState {
ctx: Some(ctx),
abort,
session_active: false,
};
run_acp_server_with_state(tokio::io::stdin(), tokio::io::stdout(), state).await
}
#[cfg(test)]
pub(crate) async fn run_acp_server_on<R, W>(reader: R, writer: W) -> Result<()>
where
R: AsyncRead + Unpin,
W: AsyncWrite + Unpin,
{
use crate::utils::{create_abort_signal, drain_acp_permissions};
drain_acp_permissions();
let state = AcpServerState {
ctx: None,
abort: create_abort_signal(),
session_active: false,
};
run_acp_server_with_state(reader, writer, state).await
}
async fn run_acp_server_with_state<R, W>(
reader: R,
mut writer: W,
mut state: AcpServerState,
) -> Result<()>
where
R: AsyncRead + Unpin,
W: AsyncWrite + Unpin,
{
let reader = BufReader::new(reader);
let mut lines = reader.lines();
while let Some(line) = lines.next_line().await? {
let line = line.trim().to_string();
if line.is_empty() {
continue;
}
if let Some(response) = dispatch(&line, &mut state).await {
for params in utils::drain_acp_permissions() {
emit_notification(&mut writer, "session/request_permission", params).await?;
}
emit(&mut writer, &response).await?;
}
}
Ok(())
}
async fn dispatch(raw: &str, state: &mut AcpServerState) -> Option<Response> {
let req: Request = match serde_json::from_str(raw) {
Ok(r) => r,
Err(_) => return Some(Response::err(None, PARSE_ERROR, "Parse error")),
};
// session/cancel is a notification. Handle it regardless of whether an id is present.
if req.method == "session/cancel" {
handle_session_cancel(state);
return if req.id.is_some() {
Some(Response::ok(req.id, json!({})))
} else {
None
};
}
req.id.as_ref()?;
Some(match req.method.as_str() {
"initialize" => handle_initialize(req),
"session/new" => handle_session_new(req, state).await,
"session/load" => handle_session_load(req, state).await,
"session/prompt" => handle_session_prompt(req, state).await,
_ => Response::err(
req.id,
METHOD_NOT_FOUND,
format!("Method not found: {}", req.method),
),
})
}
fn handle_initialize(req: Request) -> Response {
Response::ok(
req.id,
json!({
"name": "coyote",
"version": env!("CARGO_PKG_VERSION"),
"protocolVersion": 1,
}),
)
}
async fn handle_session_new(req: Request, state: &mut AcpServerState) -> Response {
if state.session_active {
return Response::err(
req.id,
-32000,
"Session already active; this server supports one session per process",
);
}
let ctx = match state.ctx.as_mut() {
Some(c) => c,
None => {
state.session_active = true;
return Response::ok(req.id, json!({ "sessionId": "default" }));
}
};
let app = Arc::clone(&ctx.app.config);
let abort = state.abort.clone();
match ctx.use_session(app.as_ref(), None, abort).await {
Ok(_) => {
state.session_active = true;
ctx.render_mode = RenderMode::Silent;
Response::ok(req.id, json!({ "sessionId": "default" }))
}
Err(e) => Response::err(req.id, -32000, format!("Failed to create session: {e}")),
}
}
async fn handle_session_prompt(req: Request, state: &mut AcpServerState) -> Response {
if !state.session_active {
return Response::err(req.id, -32000, "No active session; call session/new first");
}
let params = req.params.as_ref();
let from_content_blocks: Option<String> = params
.and_then(|p| p.get("prompt"))
.and_then(Value::as_array)
.map(|blocks| {
blocks
.iter()
.filter(|b| b.get("type").and_then(Value::as_str) == Some("text"))
.filter_map(|b| b.get("text").and_then(Value::as_str))
.collect::<Vec<_>>()
.join("\n")
})
.filter(|s| !s.is_empty());
let from_text: Option<String> = params
.and_then(|p| p.get("text"))
.and_then(Value::as_str)
.filter(|s| !s.is_empty())
.map(str::to_string);
let text = match from_content_blocks.or(from_text) {
Some(t) => t,
None => {
return Response::err(
req.id,
-32602,
"Missing params: expected prompt (ContentBlock array) or text",
);
}
};
let ctx = match state.ctx.as_mut() {
Some(c) => c,
None => return Response::err(req.id, -32000, "Server not configured with a context"),
};
let abort = state.abort.clone();
match run_prompt_turn(ctx, &text, abort).await {
Ok(output) => Response::ok(
req.id,
json!({ "output": output, "stopReason": "end_turn" }),
),
Err(e) => Response::err(req.id, -32000, format!("Prompt failed: {e}")),
}
}
async fn run_prompt_turn(
ctx: &mut RequestContext,
text: &str,
abort: AbortSignal,
) -> Result<String> {
ctx.render_mode = RenderMode::Silent;
let mut input = Input::from_str(ctx, text, None)?;
loop {
ctx.before_chat_completion(&input)?;
let client = input.create_client()?;
let (output, tool_results) =
call_chat_completions_streaming(&input, client.as_ref(), ctx, abort.clone()).await?;
let app = Arc::clone(&ctx.app.config);
ctx.after_chat_completion(app.as_ref(), &input, &output, &tool_results)?;
if !tool_results.is_empty() {
input = input.merge_tool_results(output, tool_results);
continue;
}
match check_pending_agents_guardrail(ctx) {
GuardrailAction::Inject(prompt) => {
input = Input::from_str(ctx, &prompt, None)?;
}
GuardrailAction::ForceTerminate(ids) => {
warn!(
"Pending-agent guardrail force-cancelled {} agent(s): {:?}",
ids.len(),
ids
);
return Ok(output);
}
GuardrailAction::NoAction => return Ok(output),
}
}
}
fn handle_session_cancel(state: &mut AcpServerState) {
state.abort.set_ctrlc();
}
async fn handle_session_load(req: Request, state: &mut AcpServerState) -> Response {
if state.session_active {
return Response::err(req.id, -32000, "Session already active");
}
let session_name = match req
.params
.as_ref()
.and_then(|p| p.get("sessionId"))
.and_then(Value::as_str)
{
Some(n) => n.to_string(),
None => return Response::err(req.id, -32602, "Missing params.sessionId"),
};
let ctx = match state.ctx.as_mut() {
Some(c) => c,
None => return Response::err(req.id, -32000, "Server not configured with a context"),
};
let app = Arc::clone(&ctx.app.config);
let abort = state.abort.clone();
match ctx
.use_session(app.as_ref(), Some(&session_name), abort)
.await
{
Ok(_) => {
state.session_active = true;
ctx.render_mode = RenderMode::Silent;
Response::ok(req.id, json!({ "sessionId": session_name }))
}
Err(e) => Response::err(req.id, -32000, format!("Failed to load session: {e}")),
}
}
async fn emit<W: AsyncWrite + Unpin>(writer: &mut W, response: &Response) -> Result<()> {
let mut line = serde_json::to_string(response)?;
line.push('\n');
writer.write_all(line.as_bytes()).await?;
writer.flush().await?;
Ok(())
}
async fn emit_notification<W: AsyncWrite + Unpin>(
writer: &mut W,
method: &str,
params: Value,
) -> Result<()> {
let frame = json!({
"jsonrpc": "2.0",
"method": method,
"params": params,
});
let mut line = serde_json::to_string(&frame)?;
line.push('\n');
writer.write_all(line.as_bytes()).await?;
writer.flush().await?;
Ok(())
}
#[cfg(test)]
mod tests {
use super::*;
use std::str;
#[tokio::test]
async fn all_stdout_is_valid_json_rpc() {
let input = concat!(
r#"{"jsonrpc":"2.0","id":1,"method":"initialize","params":{"name":"test","version":"0.1.0"}}"#,
"\n",
);
let mut output = Vec::new();
run_acp_server_on(input.as_bytes(), &mut output)
.await
.unwrap();
for line in output.split(|&b| b == b'\n').filter(|l| !l.is_empty()) {
let s = str::from_utf8(line).expect("non-UTF8 in ACP stdout");
let _: Value = serde_json::from_str(s)
.unwrap_or_else(|_| panic!("ACP stdout not valid JSON: {s}"));
}
}
#[tokio::test]
async fn unknown_method_returns_method_not_found() {
let input = concat!(
r#"{"jsonrpc":"2.0","id":2,"method":"nonexistent","params":{}}"#,
"\n",
);
let mut output = Vec::new();
run_acp_server_on(input.as_bytes(), &mut output)
.await
.unwrap();
let s = String::from_utf8(output).unwrap();
let v: Value = serde_json::from_str(s.trim()).unwrap();
assert_eq!(v["error"]["code"], METHOD_NOT_FOUND);
assert_eq!(v["id"], 2);
}
#[tokio::test]
async fn invalid_json_returns_parse_error() {
let input = "not json\n";
let mut output = Vec::new();
run_acp_server_on(input.as_bytes(), &mut output)
.await
.unwrap();
let s = String::from_utf8(output).unwrap();
let v: Value = serde_json::from_str(s.trim()).unwrap();
assert_eq!(v["error"]["code"], PARSE_ERROR);
}
#[tokio::test]
async fn notification_without_id_produces_no_output() {
let input = concat!(
r#"{"jsonrpc":"2.0","method":"session/cancel","params":{}}"#,
"\n",
);
let mut output = Vec::new();
run_acp_server_on(input.as_bytes(), &mut output)
.await
.unwrap();
assert!(output.is_empty());
}
#[tokio::test]
async fn initialize_returns_server_info() {
let input = concat!(
r#"{"jsonrpc":"2.0","id":1,"method":"initialize","params":{"name":"test","version":"0.1.0"}}"#,
"\n",
);
let mut output = Vec::new();
run_acp_server_on(input.as_bytes(), &mut output)
.await
.unwrap();
let s = String::from_utf8(output).unwrap();
let v: Value = serde_json::from_str(s.trim()).unwrap();
assert_eq!(v["id"], 1);
assert_eq!(v["result"]["name"], "coyote");
assert!(v["result"]["version"].is_string());
}
#[tokio::test]
async fn session_new_returns_session_id() {
let input = concat!(
r#"{"jsonrpc":"2.0","id":10,"method":"session/new","params":{}}"#,
"\n",
);
let mut output = Vec::new();
run_acp_server_on(input.as_bytes(), &mut output)
.await
.unwrap();
let s = String::from_utf8(output).unwrap();
let v: Value = serde_json::from_str(s.trim()).unwrap();
assert_eq!(v["id"], 10);
assert_eq!(v["result"]["sessionId"], "default");
}
#[tokio::test]
async fn session_new_twice_errors() {
let input = concat!(
r#"{"jsonrpc":"2.0","id":1,"method":"session/new","params":{}}"#,
"\n",
r#"{"jsonrpc":"2.0","id":2,"method":"session/new","params":{}}"#,
"\n",
);
let mut output = Vec::new();
run_acp_server_on(input.as_bytes(), &mut output)
.await
.unwrap();
let s = String::from_utf8(output).unwrap();
let mut lines = s.lines().filter(|l| !l.is_empty());
let first: Value = serde_json::from_str(lines.next().unwrap()).unwrap();
let second: Value = serde_json::from_str(lines.next().unwrap()).unwrap();
assert!(first["result"]["sessionId"].is_string());
assert_eq!(second["error"]["code"], -32000);
}
#[tokio::test]
async fn session_prompt_without_session_errors() {
let input = concat!(
r#"{"jsonrpc":"2.0","id":3,"method":"session/prompt","params":{"text":"hello"}}"#,
"\n",
);
let mut output = Vec::new();
run_acp_server_on(input.as_bytes(), &mut output)
.await
.unwrap();
let s = String::from_utf8(output).unwrap();
let v: Value = serde_json::from_str(s.trim()).unwrap();
assert_eq!(v["id"], 3);
assert_eq!(v["error"]["code"], -32000);
}
#[tokio::test]
async fn session_prompt_with_no_context_returns_error() {
let input = concat!(
r#"{"jsonrpc":"2.0","id":1,"method":"session/new","params":{}}"#,
"\n",
r#"{"jsonrpc":"2.0","id":2,"method":"session/prompt","params":{"text":"hello"}}"#,
"\n",
);
let mut output = Vec::new();
run_acp_server_on(input.as_bytes(), &mut output)
.await
.unwrap();
let s = String::from_utf8(output).unwrap();
let mut lines = s.lines().filter(|l| !l.is_empty());
let first: Value = serde_json::from_str(lines.next().unwrap()).unwrap();
let second: Value = serde_json::from_str(lines.next().unwrap()).unwrap();
assert_eq!(first["result"]["sessionId"], "default");
assert_eq!(second["id"], 2);
assert!(
second["error"].is_object(),
"expected error response when no ctx"
);
}
#[tokio::test]
async fn session_cancel_notification_produces_no_output() {
let input = concat!(r#"{"jsonrpc":"2.0","method":"session/cancel"}"#, "\n",);
let mut output = Vec::new();
run_acp_server_on(input.as_bytes(), &mut output)
.await
.unwrap();
assert!(output.is_empty());
}
#[tokio::test]
async fn session_cancel_request_returns_ok() {
let input = concat!(
r#"{"jsonrpc":"2.0","id":99,"method":"session/cancel"}"#,
"\n",
);
let mut output = Vec::new();
run_acp_server_on(input.as_bytes(), &mut output)
.await
.unwrap();
let s = String::from_utf8(output).unwrap();
let v: Value = serde_json::from_str(s.trim()).unwrap();
assert_eq!(v["id"], 99);
assert!(v["result"].is_object());
}
#[tokio::test]
async fn session_load_missing_session_id_errors() {
let input = concat!(
r#"{"jsonrpc":"2.0","id":5,"method":"session/load","params":{}}"#,
"\n",
);
let mut output = Vec::new();
run_acp_server_on(input.as_bytes(), &mut output)
.await
.unwrap();
let s = String::from_utf8(output).unwrap();
let v: Value = serde_json::from_str(s.trim()).unwrap();
assert_eq!(v["id"], 5);
assert_eq!(v["error"]["code"], -32602);
}
#[tokio::test]
async fn session_load_after_session_new_errors() {
let input = concat!(
r#"{"jsonrpc":"2.0","id":1,"method":"session/new","params":{}}"#,
"\n",
r#"{"jsonrpc":"2.0","id":2,"method":"session/load","params":{"sessionId":"abc"}}"#,
"\n",
);
let mut output = Vec::new();
run_acp_server_on(input.as_bytes(), &mut output)
.await
.unwrap();
let s = String::from_utf8(output).unwrap();
let mut lines = s.lines().filter(|l| !l.is_empty());
let _first: Value = serde_json::from_str(lines.next().unwrap()).unwrap();
let second: Value = serde_json::from_str(lines.next().unwrap()).unwrap();
assert_eq!(second["id"], 2);
assert_eq!(second["error"]["code"], -32000);
}
#[tokio::test]
async fn session_load_with_no_context_returns_error() {
let input = concat!(
r#"{"jsonrpc":"2.0","id":6,"method":"session/load","params":{"sessionId":"my-session"}}"#,
"\n",
);
let mut output = Vec::new();
run_acp_server_on(input.as_bytes(), &mut output)
.await
.unwrap();
let s = String::from_utf8(output).unwrap();
let v: Value = serde_json::from_str(s.trim()).unwrap();
assert_eq!(v["id"], 6);
assert!(v["error"].is_object());
}
#[tokio::test]
async fn emit_notification_produces_valid_json_rpc_frame() {
let mut output = Vec::new();
emit_notification(
&mut output,
"session/request_permission",
json!({"action": "confirm", "question": "Proceed?"}),
)
.await
.unwrap();
let s = String::from_utf8(output).unwrap();
let v: Value = serde_json::from_str(s.trim()).unwrap();
assert_eq!(v["jsonrpc"], "2.0");
assert_eq!(v["method"], "session/request_permission");
assert!(v["params"]["action"].is_string());
assert!(!v.as_object().unwrap().contains_key("id"));
}
#[tokio::test]
async fn initialize_protocol_version_is_number() {
let input = concat!(
r#"{"jsonrpc":"2.0","id":1,"method":"initialize","params":{}}"#,
"\n",
);
let mut output = Vec::new();
run_acp_server_on(input.as_bytes(), &mut output)
.await
.unwrap();
let s = String::from_utf8(output).unwrap();
let v: Value = serde_json::from_str(s.trim()).unwrap();
assert!(
v["result"]["protocolVersion"].is_number(),
"protocolVersion must be a JSON number, got: {:?}",
v["result"]["protocolVersion"]
);
assert_eq!(v["result"]["protocolVersion"], 1);
}
#[tokio::test]
async fn session_prompt_spec_content_blocks_not_rejected() {
let input = concat!(
r#"{"jsonrpc":"2.0","id":1,"method":"session/new","params":{}}"#,
"\n",
r#"{"jsonrpc":"2.0","id":2,"method":"session/prompt","params":{"sessionId":"default","prompt":[{"type":"text","text":"hello"}]}}"#,
"\n",
);
let mut output = Vec::new();
run_acp_server_on(input.as_bytes(), &mut output)
.await
.unwrap();
let s = String::from_utf8(output).unwrap();
let mut lines = s.lines().filter(|l| !l.is_empty());
let _first: Value = serde_json::from_str(lines.next().unwrap()).unwrap();
let second: Value = serde_json::from_str(lines.next().unwrap()).unwrap();
assert_eq!(second["id"], 2);
let code = second["error"]["code"].as_i64().unwrap_or(0);
assert_ne!(
code, -32602,
"spec-shaped ContentBlock prompt must not get a params error"
);
}
#[tokio::test]
async fn session_prompt_non_text_blocks_ignored() {
let input = concat!(
r#"{"jsonrpc":"2.0","id":1,"method":"session/new","params":{}}"#,
"\n",
r#"{"jsonrpc":"2.0","id":2,"method":"session/prompt","params":{"prompt":[{"type":"image","data":"abc"},{"type":"text","text":"hello"}]}}"#,
"\n",
);
let mut output = Vec::new();
run_acp_server_on(input.as_bytes(), &mut output)
.await
.unwrap();
let s = String::from_utf8(output).unwrap();
let mut lines = s.lines().filter(|l| !l.is_empty());
let _first: Value = serde_json::from_str(lines.next().unwrap()).unwrap();
let second: Value = serde_json::from_str(lines.next().unwrap()).unwrap();
assert_eq!(second["id"], 2);
let code = second["error"]["code"].as_i64().unwrap_or(0);
assert_ne!(code, -32602, "non-text blocks must be silently ignored");
}
#[tokio::test]
async fn session_prompt_missing_both_text_and_prompt_errors() {
let input = concat!(
r#"{"jsonrpc":"2.0","id":1,"method":"session/new","params":{}}"#,
"\n",
r#"{"jsonrpc":"2.0","id":2,"method":"session/prompt","params":{"sessionId":"default"}}"#,
"\n",
);
let mut output = Vec::new();
run_acp_server_on(input.as_bytes(), &mut output)
.await
.unwrap();
let s = String::from_utf8(output).unwrap();
let mut lines = s.lines().filter(|l| !l.is_empty());
let _first: Value = serde_json::from_str(lines.next().unwrap()).unwrap();
let second: Value = serde_json::from_str(lines.next().unwrap()).unwrap();
assert_eq!(second["id"], 2);
assert_eq!(second["error"]["code"], -32602);
}
}
-59
View File
@@ -1,59 +0,0 @@
use serde::{Deserialize, Serialize};
use serde_json::Value;
pub const METHOD_NOT_FOUND: i32 = -32601;
pub const PARSE_ERROR: i32 = -32700;
#[derive(Debug, Deserialize)]
#[allow(dead_code)]
pub struct Request {
pub jsonrpc: String,
pub id: Option<Value>,
pub method: String,
pub params: Option<Value>,
}
#[derive(Debug, Serialize)]
pub struct Response {
pub jsonrpc: &'static str,
#[serde(skip_serializing_if = "Option::is_none")]
pub id: Option<Value>,
#[serde(flatten)]
pub body: ResponseBody,
}
#[derive(Debug, Serialize)]
#[serde(untagged)]
pub enum ResponseBody {
Ok { result: Value },
Err { error: RpcError },
}
#[derive(Debug, Serialize)]
pub struct RpcError {
pub code: i32,
pub message: String,
}
impl Response {
pub fn ok(id: Option<Value>, result: Value) -> Self {
Self {
jsonrpc: "2.0",
id,
body: ResponseBody::Ok { result },
}
}
pub fn err(id: Option<Value>, code: i32, message: impl Into<String>) -> Self {
Self {
jsonrpc: "2.0",
id,
body: ResponseBody::Err {
error: RpcError {
code,
message: message.into(),
},
},
}
}
}
+5 -40
View File
@@ -1,13 +1,13 @@
use crate::client::{ModelType, list_models};
use crate::config::paths;
use crate::config::{AppConfig, Config, list_agents_with_descriptions, list_sessions};
use crate::config::{AppConfig, Config, list_agents, list_sessions};
use crate::utils::list_file_names;
use crate::vault::Vault;
use clap_complete::{CompletionCandidate, Shell, generate};
use clap_complete_nushell::Nushell;
use std::env;
use std::ffi::OsStr;
use std::io;
use std::{env, fs};
const COYOTE_CLI_NAME: &str = "coyote";
@@ -73,17 +73,10 @@ pub(super) fn role_completer(current: &OsStr) -> Vec<CompletionCandidate> {
pub(super) fn agent_completer(current: &OsStr) -> Vec<CompletionCandidate> {
let cur = current.to_string_lossy();
list_agents_with_descriptions()
list_agents()
.into_iter()
.filter(|(a, _)| a.starts_with(&*cur))
.map(|(name, desc)| {
let help = if desc.is_empty() {
None
} else {
Some(desc.into())
};
CompletionCandidate::new(name).help(help)
})
.filter(|a| a.starts_with(&*cur))
.map(CompletionCandidate::new)
.collect()
}
@@ -141,34 +134,6 @@ pub(super) fn session_completer(current: &OsStr) -> Vec<CompletionCandidate> {
.collect()
}
pub(super) fn mcp_server_completer(current: &OsStr) -> Vec<CompletionCandidate> {
let cur = current.to_string_lossy();
let content = match fs::read_to_string(paths::mcp_config_file()) {
Ok(c) => c,
Err(_) => return vec![],
};
let json: serde_json::Value = match serde_json::from_str(&content) {
Ok(v) => v,
Err(_) => return vec![],
};
let servers = match json.get("mcpServers").and_then(|v| v.as_object()) {
Some(s) => s,
None => return vec![],
};
servers
.iter()
.filter(|(_, v)| {
v.get("type")
.and_then(|t| t.as_str())
.map(|t| t == "http" || t == "sse")
.unwrap_or(false)
})
.filter(|(k, _)| k.starts_with(&*cur))
.map(|(k, _)| CompletionCandidate::new(k))
.collect()
}
pub(super) fn secrets_completer(current: &OsStr) -> Vec<CompletionCandidate> {
let cur = current.to_string_lossy();
match load_app_config_for_completion() {
+151 -212
View File
@@ -1,8 +1,8 @@
mod completer;
use crate::cli::completer::{
ShellCompletion, agent_completer, macro_completer, mcp_server_completer, model_completer,
rag_completer, role_completer, secrets_completer, session_completer,
ShellCompletion, agent_completer, macro_completer, model_completer, rag_completer,
role_completer, secrets_completer, session_completer,
};
use crate::config::{AssetCategory, InstallFilter, MemoryScope};
use anyhow::{Context, Result};
@@ -30,7 +30,7 @@ use std::io::{Read, stdin};
",
group(
ArgGroup::new("sbx-mode")
.args(["sandbox", "fresh"])
.args(["sandbox", "fresh", "no_mixins"])
.multiple(true)
.conflicts_with_all([
"model", "prompt", "role", "session", "agent", "rag", "rebuild_rag",
@@ -43,10 +43,6 @@ use std::io::{Read, stdin};
),
)]
pub struct Cli {
/// Input text
#[arg(trailing_var_arg = true)]
text: Vec<String>,
/// Select a LLM model
#[arg(short, long, add = ArgValueCompleter::new(model_completer))]
pub model: Option<String>,
@@ -56,6 +52,30 @@ pub struct Cli {
/// Select a role
#[arg(short, long, add = ArgValueCompleter::new(role_completer))]
pub role: Option<String>,
/// Start or join a session
#[arg(short = 's', long, add = ArgValueCompleter::new(session_completer))]
pub session: Option<Option<String>>,
/// Ensure the session is empty
#[arg(long)]
pub empty_session: bool,
/// Ensure the new conversation is saved to the session
#[arg(long)]
pub save_session: bool,
/// Start an agent
#[arg(short = 'a', long, add = ArgValueCompleter::new(agent_completer))]
pub agent: Option<String>,
/// Set agent variables
#[arg(long, value_names = ["NAME", "VALUE"], num_args = 2)]
pub agent_variable: Vec<String>,
/// Start a RAG
#[arg(long, add = ArgValueCompleter::new(rag_completer))]
pub rag: Option<String>,
/// Rebuild the RAG to sync document changes
#[arg(long)]
pub rebuild_rag: bool,
/// Execute a macro
#[arg(long = "macro", value_name = "MACRO", add = ArgValueCompleter::new(macro_completer))]
pub macro_name: Option<String>,
/// Execute commands in natural language
#[arg(short = 'e', long)]
pub execute: bool,
@@ -68,192 +88,107 @@ pub struct Cli {
/// Turn off stream mode
#[arg(short = 'S', long)]
pub no_stream: bool,
/// Render markdown as raw text with syntax highlighting only (skip the rich markdown renderer)
#[arg(long)]
pub raw_markdown: bool,
/// Display the message without sending it
#[arg(long)]
pub dry_run: bool,
/// Disable loading workspace MCP servers from .coyote/mcp.json, .coyote/.mcp.json, or .mcp.json
#[arg(long)]
pub no_workspace_mcp: bool,
/// Disable memory for this invocation
#[arg(long)]
pub no_memory: bool,
/// Disable loading workspace instructions (COYOTE.md/AGENTS.md/CLAUDE.md/etc.) for this invocation
#[arg(long)]
pub no_workspace_instructions: bool,
/// Override the workspace instructions file chain for this invocation (repeatable, priority order)
#[arg(long, value_name = "NAME")]
pub workspace_instructions_file: Vec<String>,
/// Skip permission prompts by setting AUTO_CONFIRM for all tools (dangerous!)
#[arg(long)]
pub dangerously_skip_permissions: bool,
/// Start or join a session
#[arg(short = 's', long, help_heading = "Session & Memory", add = ArgValueCompleter::new(session_completer))]
pub session: Option<Option<String>>,
/// Ensure the session is empty
#[arg(long, help_heading = "Session & Memory")]
pub empty_session: bool,
/// Ensure the new conversation is saved to the session
#[arg(long, help_heading = "Session & Memory")]
pub save_session: bool,
/// Bootstrap a memory marker so coyote begins loading memory next run
#[arg(
long,
value_name = "SCOPE",
value_enum,
help_heading = "Session & Memory"
)]
#[arg(long, value_name = "SCOPE", value_enum)]
pub init_memory: Option<MemoryScope>,
/// Scaffold a COYOTE.md workspace instructions file in the current directory
#[arg(long, help_heading = "Session & Memory")]
pub init_instructions: bool,
/// Display the message without sending it
#[arg(long)]
pub dry_run: bool,
/// Display information
#[arg(long)]
pub info: bool,
/// Build all configured Bash tool scripts
#[arg(long)]
pub build_tools: bool,
/// Reinstall bundled assets, overwriting any local changes
#[arg(long, value_name = "CATEGORY", value_enum)]
pub install: Option<AssetCategory>,
/// Install assets from a remote git repository (URL may be suffixed with #<ref>)
#[arg(long, value_name = "GIT_URL")]
pub install_from: Option<String>,
/// Restrict --install-from to a single asset category
#[arg(long, value_name = "CATEGORY", value_enum, requires = "install_from")]
pub filter: Option<InstallFilter>,
/// Overwrite all conflicts without prompting (used with --install-from)
#[arg(long, requires = "install_from")]
pub install_force: bool,
/// Sync models updates
#[arg(long)]
pub sync_models: bool,
/// List all available chat models
#[arg(long)]
pub list_models: bool,
/// List all roles
#[arg(long)]
pub list_roles: bool,
/// List all sessions
#[arg(long)]
pub list_sessions: bool,
/// List all agents
#[arg(long)]
pub list_agents: bool,
/// List all RAGs
#[arg(long)]
pub list_rags: bool,
/// List all macros
#[arg(long)]
pub list_macros: bool,
/// List all installed skills
#[arg(long)]
pub list_skills: bool,
/// Pre-load an existing skill into the session (repeatable). If a single
/// `--skill <NAME>` is given and the skill doesn't exist, opens $EDITOR
/// with a scaffold to create it.
#[arg(long, value_name = "NAME", help_heading = "Session & Memory")]
#[arg(long, value_name = "NAME")]
pub skill: Vec<String>,
/// Start an agent
#[arg(short = 'a', long, help_heading = "Agents, RAG & Macros", add = ArgValueCompleter::new(agent_completer))]
pub agent: Option<String>,
/// Set agent variables
#[arg(long, value_names = ["NAME", "VALUE"], num_args = 2, help_heading = "Agents, RAG & Macros")]
pub agent_variable: Vec<String>,
/// Start a RAG
#[arg(long, help_heading = "Agents, RAG & Macros", add = ArgValueCompleter::new(rag_completer))]
pub rag: Option<String>,
/// Rebuild the RAG to sync document changes
#[arg(long, help_heading = "Agents, RAG & Macros")]
pub rebuild_rag: bool,
/// Execute a macro
#[arg(long = "macro", value_name = "MACRO", help_heading = "Agents, RAG & Macros", add = ArgValueCompleter::new(macro_completer))]
pub macro_name: Option<String>,
/// List all available chat models
#[arg(long, help_heading = "List & Discovery")]
pub list_models: bool,
/// List all roles
#[arg(long, help_heading = "List & Discovery")]
pub list_roles: bool,
/// List all sessions
#[arg(long, help_heading = "List & Discovery")]
pub list_sessions: bool,
/// List all agents
#[arg(long, help_heading = "List & Discovery")]
pub list_agents: bool,
/// List all RAGs
#[arg(long, help_heading = "List & Discovery")]
pub list_rags: bool,
/// List all macros
#[arg(long, help_heading = "List & Discovery")]
pub list_macros: bool,
/// List all installed skills
#[arg(long, help_heading = "List & Discovery")]
pub list_skills: bool,
/// Reinstall bundled assets, overwriting any local changes
#[arg(
long,
value_name = "CATEGORY",
value_enum,
help_heading = "Installation & Updates"
)]
pub install: Option<AssetCategory>,
/// Install assets from a remote git repository (URL may be suffixed with #<ref>)
#[arg(long, value_name = "GIT_URL", help_heading = "Installation & Updates")]
pub install_from: Option<String>,
/// Restrict --install-from to a single asset category
#[arg(
long,
value_name = "CATEGORY",
value_enum,
requires = "install_from",
help_heading = "Installation & Updates"
)]
pub filter: Option<InstallFilter>,
/// Overwrite all conflicts without prompting (used with --install-from)
#[arg(
long,
requires = "install_from",
help_heading = "Installation & Updates"
)]
pub install_force: bool,
/// Sync models updates
#[arg(long, help_heading = "Installation & Updates")]
pub sync_models: bool,
/// Update Coyote to the latest release, or to a specific version
#[arg(long, value_name = "VERSION", help_heading = "Installation & Updates")]
pub update: Option<Option<String>>,
/// With --update, update even if Coyote was installed via a package manager
#[arg(long, requires = "update", help_heading = "Installation & Updates")]
pub force: bool,
/// Add a secret to the Coyote vault
#[arg(
long,
value_name = "SECRET_NAME",
exclusive = true,
help_heading = "Vault & Secrets"
)]
pub add_secret: Option<String>,
/// Decrypt a secret from the Coyote vault and print the plaintext
#[arg(long, value_name = "SECRET_NAME", exclusive = true, help_heading = "Vault & Secrets", add = ArgValueCompleter::new(secrets_completer))]
pub get_secret: Option<String>,
/// Update an existing secret in the Coyote vault
#[arg(long, value_name = "SECRET_NAME", exclusive = true, help_heading = "Vault & Secrets", add = ArgValueCompleter::new(secrets_completer))]
pub update_secret: Option<String>,
/// Delete a secret from the Coyote vault
#[arg(long, value_name = "SECRET_NAME", exclusive = true, help_heading = "Vault & Secrets", add = ArgValueCompleter::new(secrets_completer))]
pub delete_secret: Option<String>,
/// List all secrets stored in the Coyote vault
#[arg(long, exclusive = true, help_heading = "Vault & Secrets")]
pub list_secrets: bool,
/// Authenticate with an LLM provider using OAuth (e.g., --authenticate client_name)
#[arg(
long,
exclusive = true,
value_name = "CLIENT_NAME",
help_heading = "Authentication"
)]
pub authenticate: Option<Option<String>>,
/// Authenticate with an OAuth-protected remote MCP server (e.g., --auth-mcp server_name)
#[arg(long, exclusive = true, value_name = "SERVER_NAME", help_heading = "Authentication", add = ArgValueCompleter::new(mcp_server_completer))]
pub auth_mcp: Option<String>,
/// Launch Coyote inside a Docker sandbox (via `sbx`); name defaults to current directory basename
#[arg(long, value_name = "NAME", help_heading = "Sandbox")]
pub sandbox: Option<Option<String>>,
/// Start the sandbox with a clean slate. No copied config or tokens; LLM credentials injected via sbx proxy
#[arg(long, requires = "sandbox", help_heading = "Sandbox")]
pub fresh: bool,
/// Declare that no human is present. All user-interaction tools return structured JSON instead of
/// prompting. Implies --dangerously-skip-permissions. Incompatible with REPL mode (requires a prompt).
#[arg(long, help_heading = "Sandbox")]
pub headless: bool,
/// Run as an ACP agent server over stdio (JSON-RPC 2.0). Every stdout byte must be valid JSON-RPC.
/// Implies --headless. Single session per process.
#[arg(long, help_heading = "Sandbox")]
pub acp_server: bool,
/// Display information
#[arg(long, help_heading = "Diagnostics & Tools")]
pub info: bool,
/// Build all configured Bash tool scripts
#[arg(long, help_heading = "Diagnostics & Tools")]
pub build_tools: bool,
/// Input text
#[arg(trailing_var_arg = true)]
text: Vec<String>,
/// Tail logs
#[arg(long, help_heading = "Diagnostics & Tools")]
#[arg(long)]
pub tail_logs: bool,
/// Disable colored log output
#[arg(long, requires = "tail_logs", help_heading = "Diagnostics & Tools")]
#[arg(long, requires = "tail_logs")]
pub disable_log_colors: bool,
/// Add a secret to the Coyote vault
#[arg(long, value_name = "SECRET_NAME", exclusive = true)]
pub add_secret: Option<String>,
/// Decrypt a secret from the Coyote vault and print the plaintext
#[arg(long, value_name = "SECRET_NAME", exclusive = true, add = ArgValueCompleter::new(secrets_completer))]
pub get_secret: Option<String>,
/// Update an existing secret in the Coyote vault
#[arg(long, value_name = "SECRET_NAME", exclusive = true, add = ArgValueCompleter::new(secrets_completer))]
pub update_secret: Option<String>,
/// Delete a secret from the Coyote vault
#[arg(long, value_name = "SECRET_NAME", exclusive = true, add = ArgValueCompleter::new(secrets_completer))]
pub delete_secret: Option<String>,
/// List all secrets stored in the Coyote vault
#[arg(long, exclusive = true)]
pub list_secrets: bool,
/// Authenticate with an LLM provider using OAuth (e.g., --authenticate client_name)
#[arg(long, exclusive = true, value_name = "CLIENT_NAME")]
pub authenticate: Option<Option<String>>,
/// Generate static shell completion scripts
#[arg(long, value_name = "SHELL", value_enum, help_heading = "Shell")]
#[arg(long, value_name = "SHELL", value_enum)]
pub completions: Option<ShellCompletion>,
/// Update Coyote to the latest release, or to a specific version
#[arg(long, value_name = "VERSION")]
pub update: Option<Option<String>>,
/// With --update, update even if Coyote was installed via a package manager
#[arg(long, requires = "update")]
pub force: bool,
/// Launch Coyote inside a Docker sandbox (via `sbx`); name defaults to current directory basename
#[arg(long, value_name = "NAME")]
pub sandbox: Option<Option<String>>,
/// Create the sandbox without bootstrapping the host config or vault password file
#[arg(long, requires = "sandbox")]
pub fresh: bool,
/// Skip discovery and application of all sbx mixins (user and built-in)
#[arg(long, requires = "sandbox")]
pub no_mixins: bool,
}
impl Cli {
@@ -486,40 +421,6 @@ mod tests {
assert!(cli.build_tools);
}
#[test]
fn parse_dangerously_skip_permissions_flag() {
let cli = parse(&["--dangerously-skip-permissions"]);
assert!(cli.dangerously_skip_permissions);
}
#[test]
fn parse_dangerously_skip_permissions_default_off() {
let cli = parse(&[]);
assert!(!cli.dangerously_skip_permissions);
}
#[test]
fn parse_headless_flag() {
let cli = parse(&["--headless", "do something"]);
assert!(cli.headless);
}
#[test]
fn parse_headless_default_off() {
assert!(!parse(&[]).headless);
}
#[test]
fn parse_acp_server_flag() {
let cli = parse(&["--acp-server"]);
assert!(cli.acp_server);
}
#[test]
fn parse_acp_server_default_off() {
assert!(!parse(&[]).acp_server);
}
#[test]
fn parse_sync_models_flag() {
let cli = parse(&["--sync-models"]);
@@ -633,4 +534,42 @@ mod tests {
fn parse_sandbox_is_exclusive() {
assert!(Cli::try_parse_from(["coyote", "--sandbox", "--agent", "foo"]).is_err());
}
#[test]
fn parse_fresh_flag_requires_sandbox() {
assert!(Cli::try_parse_from(["coyote", "--fresh"]).is_err());
}
#[test]
fn parse_fresh_flag_with_sandbox() {
let cli = parse(&["--sandbox", "--fresh"]);
assert_eq!(cli.sandbox, Some(None));
assert!(cli.fresh);
}
#[test]
fn parse_fresh_flag_with_named_sandbox() {
let cli = parse(&["--sandbox", "foo", "--fresh"]);
assert_eq!(cli.sandbox, Some(Some("foo".to_string())));
assert!(cli.fresh);
}
#[test]
fn parse_no_mixins_requires_sandbox() {
assert!(Cli::try_parse_from(["coyote", "--no-mixins"]).is_err());
}
#[test]
fn parse_no_mixins_with_sandbox() {
let cli = parse(&["--sandbox", "--no-mixins"]);
assert!(cli.no_mixins);
}
#[test]
fn parse_sandbox_with_fresh_and_no_mixins() {
let cli = parse(&["--sandbox", "foo", "--fresh", "--no-mixins"]);
assert_eq!(cli.sandbox, Some(Some("foo".to_string())));
assert!(cli.fresh);
assert!(cli.no_mixins);
}
}
+4 -19
View File
@@ -4,44 +4,29 @@ use indexmap::IndexMap;
use parking_lot::RwLock;
use std::sync::LazyLock;
type AccessTokenEntry = (String, i64, Option<String>);
static ACCESS_TOKENS: LazyLock<RwLock<IndexMap<String, AccessTokenEntry>>> =
static ACCESS_TOKENS: LazyLock<RwLock<IndexMap<String, (String, i64)>>> =
LazyLock::new(|| RwLock::new(IndexMap::new()));
pub fn get_access_token(client_name: &str) -> Result<String> {
ACCESS_TOKENS
.read()
.get(client_name)
.map(|(token, _, _)| token.clone())
.map(|(token, _)| token.clone())
.ok_or_else(|| anyhow!("Invalid access token"))
}
pub fn get_access_token_account_id(client_name: &str) -> Option<String> {
ACCESS_TOKENS
.read()
.get(client_name)
.and_then(|(_, _, account_id)| account_id.clone())
}
pub fn is_valid_access_token(client_name: &str) -> bool {
let access_tokens = ACCESS_TOKENS.read();
let (token, expires_at, _) = match access_tokens.get(client_name) {
let (token, expires_at) = match access_tokens.get(client_name) {
Some(v) => v,
None => return false,
};
!token.is_empty() && Utc::now().timestamp() < *expires_at
}
pub fn set_access_token(
client_name: &str,
token: String,
expires_at: i64,
account_id: Option<String>,
) {
pub fn set_access_token(client_name: &str, token: String, expires_at: i64) {
let mut access_tokens = ACCESS_TOKENS.write();
let entry = access_tokens.entry(client_name.to_string()).or_default();
entry.0 = token;
entry.1 = expires_at;
entry.2 = account_id;
}
+2 -2
View File
@@ -50,7 +50,7 @@ fn prepare_chat_completions(
let url = format!(
"{}/openai/deployments/{}/chat/completions?api-version=2024-12-01-preview",
api_base,
&api_base,
self_.model.real_name()
);
@@ -69,7 +69,7 @@ fn prepare_embeddings(self_: &AzureOpenAIClient, data: &EmbeddingsData) -> Resul
let url = format!(
"{}/openai/deployments/{}/embeddings?api-version=2024-10-21",
api_base,
&api_base,
self_.model.real_name()
);
+1 -10
View File
@@ -325,7 +325,6 @@ fn build_chat_completions_body(data: ChatCompletionsData, model: &Model) -> Resu
mut messages,
temperature,
top_p,
reasoning_effort,
functions,
stream: _,
} = data;
@@ -397,11 +396,6 @@ fn build_chat_completions_body(data: ChatCompletionsData, model: &Model) -> Resu
}))
}
for tool_result in tool_results {
if let Some(round_text) = &tool_result.text {
assistant_parts.push(json!({
"text": round_text,
}))
}
assistant_parts.push(json!({
"toolUse": {
"toolUseId": tool_result.call.id,
@@ -463,9 +457,6 @@ fn build_chat_completions_body(data: ChatCompletionsData, model: &Model) -> Resu
if let Some(v) = top_p {
body["inferenceConfig"]["topP"] = v.into();
}
if let Some(v) = reasoning_effort {
body["additionalModelRequestFields"] = json!({ "output_config": { "effort": v } });
}
if let Some(functions) = functions {
let tools: Vec<_> = functions
.iter()
@@ -529,7 +520,7 @@ fn extract_chat_completions(data: &Value) -> Result<ChatCompletionsOutput> {
bail!("Invalid response data: {data}");
}
let output = ChatCompletionsOutput { text, tool_calls, ..Default::default() };
let output = ChatCompletionsOutput { text, tool_calls };
Ok(output)
}
+7 -53
View File
@@ -168,22 +168,12 @@ pub async fn claude_chat_completions_streaming(
let mut function_arguments = String::new();
let mut function_id = String::new();
let mut reasoning_state = 0;
let mut thinking_text = String::new();
let mut thinking_signature = String::new();
let handle = |message: SseMessage| -> Result<bool> {
let data: Value = serde_json::from_str(&message.data)?;
debug!("stream-data: {data}");
if let Some(typ) = data["type"].as_str() {
match typ {
"content_block_start" => {
if let (Some("redacted_thinking"), Some(redacted_data)) = (
data["content_block"]["type"].as_str(),
data["content_block"]["data"].as_str(),
) {
handler.thinking_block(ThinkingBlock::RedactedThinking {
data: redacted_data.to_string(),
});
}
if let (Some("tool_use"), Some(name), Some(id)) = (
data["content_block"]["type"].as_str(),
data["content_block"]["name"].as_str(),
@@ -216,10 +206,7 @@ pub async fn claude_chat_completions_streaming(
handler.text("<think>\n")?;
reasoning_state = 1;
}
thinking_text.push_str(text);
handler.text(text)?;
} else if let Some(signature) = data["delta"]["signature"].as_str() {
thinking_signature.push_str(signature);
} else if let (true, Some(partial_json)) = (
!function_name.is_empty(),
data["delta"]["partial_json"].as_str(),
@@ -231,10 +218,6 @@ pub async fn claude_chat_completions_streaming(
if reasoning_state == 1 {
handler.text("\n</think>\n\n")?;
reasoning_state = 0;
handler.thinking_block(ThinkingBlock::Thinking {
thinking: std::mem::take(&mut thinking_text),
signature: std::mem::take(&mut thinking_signature),
});
}
if !function_name.is_empty() {
let arguments: Value = if function_arguments.is_empty() {
@@ -268,7 +251,6 @@ pub fn claude_build_chat_completions_body(
mut messages,
temperature,
top_p,
reasoning_effort,
functions,
stream,
} = data;
@@ -330,25 +312,13 @@ pub fn claude_build_chat_completions_body(
}) => {
let mut assistant_parts = vec![];
let mut user_parts = vec![];
for (index, tool_result) in tool_results.iter().enumerate() {
for block in &tool_result.thinking {
assistant_parts.push(json!(block));
}
let round_text = if index == 0 && !text.is_empty() {
Some(text.as_str())
} else {
tool_result.text.as_deref()
};
if let Some(round_text) = round_text {
let round_text = strip_think_tag(round_text);
let round_text = round_text.trim();
if !round_text.is_empty() {
assistant_parts.push(json!({
"type": "text",
"text": round_text,
}))
}
}
if !text.is_empty() {
assistant_parts.push(json!({
"type": "text",
"text": text,
}))
}
for tool_result in tool_results {
assistant_parts.push(json!({
"type": "tool_use",
"id": tool_result.call.id,
@@ -399,9 +369,6 @@ pub fn claude_build_chat_completions_body(
if let Some(v) = top_p {
body["top_p"] = v.into();
}
if let Some(v) = reasoning_effort {
body["output_config"] = json!({ "effort": v });
}
if stream {
body["stream"] = true.into();
}
@@ -432,24 +399,12 @@ pub fn claude_extract_chat_completions(data: &Value) -> Result<ChatCompletionsOu
let mut text = String::new();
let mut reasoning = None;
let mut tool_calls = vec![];
let mut thinking = vec![];
if let Some(list) = data["content"].as_array() {
for item in list {
match item["type"].as_str() {
Some("thinking") => {
if let Some(v) = item["thinking"].as_str() {
reasoning = Some(v.to_string());
thinking.push(ThinkingBlock::Thinking {
thinking: v.to_string(),
signature: item["signature"].as_str().unwrap_or_default().to_string(),
});
}
}
Some("redacted_thinking") => {
if let Some(v) = item["data"].as_str() {
thinking.push(ThinkingBlock::RedactedThinking {
data: v.to_string(),
});
}
}
Some("text") => {
@@ -488,7 +443,6 @@ pub fn claude_extract_chat_completions(data: &Value) -> Result<ChatCompletionsOu
let output = ChatCompletionsOutput {
text: text.to_string(),
tool_calls,
thinking,
};
Ok(output)
}
+2 -2
View File
@@ -25,8 +25,8 @@ impl OAuthProvider for ClaudeOAuthProvider {
"https://console.anthropic.com/oauth/code/callback"
}
fn scopes(&self) -> String {
"org:create_api_key user:profile user:inference".to_string()
fn scopes(&self) -> &str {
"org:create_api_key user:profile user:inference"
}
fn extra_authorize_params(&self) -> Vec<(&str, &str)> {
+1 -1
View File
@@ -244,6 +244,6 @@ fn extract_chat_completions(data: &Value) -> Result<ChatCompletionsOutput> {
if text.is_empty() && tool_calls.is_empty() {
bail!("Invalid response data: {data}");
}
let output = ChatCompletionsOutput { text, tool_calls, ..Default::default() };
let output = ChatCompletionsOutput { text, tool_calls };
Ok(output)
}
+8 -32
View File
@@ -286,7 +286,6 @@ pub struct ChatCompletionsData {
pub messages: Vec<Message>,
pub temperature: Option<f64>,
pub top_p: Option<f64>,
pub reasoning_effort: Option<String>,
pub functions: Option<Vec<FunctionDeclaration>>,
pub stream: bool,
}
@@ -295,7 +294,6 @@ pub struct ChatCompletionsData {
pub struct ChatCompletionsOutput {
pub text: String,
pub tool_calls: Vec<ToolCall>,
pub thinking: Vec<ThinkingBlock>,
}
impl ChatCompletionsOutput {
@@ -403,24 +401,9 @@ pub async fn create_openai_compatible_client_config(
};
config["api_base"] = api_base.into();
let has_bundled_oauth = ALL_PROVIDER_MODELS
.iter()
.any(|p| p.provider == client && p.oauth.is_some());
let use_oauth = if has_bundled_oauth {
let choice = Select::new("Authentication method:", vec!["API Key", "OAuth"]).prompt()?;
choice == "OAuth"
} else {
false
};
if use_oauth {
config["auth"] = "oauth".into();
} else {
let api_key = prompt_input_string("API Key", false, None)?;
if !api_key.is_empty() {
config["api_key"] = api_key.into();
}
let api_key = prompt_input_string("API Key", false, None)?;
if !api_key.is_empty() {
config["api_key"] = api_key.into();
}
let model = set_client_models_config(&mut config, &name).await?;
@@ -451,7 +434,6 @@ pub async fn call_chat_completions(
let ChatCompletionsOutput {
mut text,
tool_calls,
thinking,
..
} = ret;
if !text.is_empty() {
@@ -462,10 +444,7 @@ pub async fn call_chat_completions(
ctx.app.config.print_markdown(&text)?;
}
}
let mut tool_results = eval_tool_calls(ctx, tool_calls).await?;
if let Some(first) = tool_results.first_mut() {
first.thinking = thinking;
}
let tool_results = eval_tool_calls(ctx, tool_calls).await?;
tool_results
.iter()
.for_each(|res| ctx.tool_scope.tool_tracker.record_call(res.call.clone()));
@@ -499,23 +478,20 @@ pub async fn call_chat_completions_streaming(
render_ret?;
let (text, tool_calls, thinking) = handler.take();
let (text, tool_calls) = handler.take();
match send_ret {
Ok(_) => {
if !silent && !text.is_empty() && !text.ends_with('\n') {
if !text.is_empty() && !text.ends_with('\n') {
println!();
}
let mut tool_results = eval_tool_calls(ctx, tool_calls).await?;
if let Some(first) = tool_results.first_mut() {
first.thinking = thinking;
}
let tool_results = eval_tool_calls(ctx, tool_calls).await?;
tool_results
.iter()
.for_each(|res| ctx.tool_scope.tool_tracker.record_call(res.call.clone()));
Ok((text, tool_results))
}
Err(err) => {
if !silent && !text.is_empty() {
if !text.is_empty() {
println!();
}
Err(err)
+2 -2
View File
@@ -27,8 +27,8 @@ impl OAuthProvider for GeminiOAuthProvider {
""
}
fn scopes(&self) -> String {
"https://www.googleapis.com/auth/generative-language.peruserquota https://www.googleapis.com/auth/generative-language.retriever https://www.googleapis.com/auth/userinfo.email".to_string()
fn scopes(&self) -> &str {
"https://www.googleapis.com/auth/generative-language.peruserquota https://www.googleapis.com/auth/generative-language.retriever https://www.googleapis.com/auth/userinfo.email"
}
fn client_secret(&self) -> Option<&str> {
+2 -27
View File
@@ -118,9 +118,6 @@ impl MessageContent {
lines.push(text.clone())
}
for tool_result in tool_results {
if let Some(round_text) = &tool_result.text {
lines.push(round_text.clone())
}
let mut parts = vec!["Call".to_string()];
if let Some((agent_name, functions)) = agent_info
&& functions.contains(&tool_result.call.name)
@@ -136,13 +133,6 @@ impl MessageContent {
}
}
pub fn as_text(&self) -> Option<&str> {
match self {
MessageContent::Text(text) => Some(text),
_ => None,
}
}
pub fn merge_prompt(&mut self, replace_fn: impl Fn(&str) -> String) {
match self {
MessageContent::Text(text) => *text = replace_fn(text),
@@ -188,17 +178,6 @@ pub struct ImageUrl {
pub url: String,
}
/// An extended-thinking block returned by Anthropic-protocol models.
/// Serialized to match the API wire format (`type: thinking` / `type: redacted_thinking`)
/// so blocks can be replayed verbatim, signature intact, in subsequent
/// tool-loop rounds as the API requires.
#[derive(Debug, Clone, Deserialize, Serialize)]
#[serde(tag = "type", rename_all = "snake_case")]
pub enum ThinkingBlock {
Thinking { thinking: String, signature: String },
RedactedThinking { data: String },
}
#[derive(Debug, Clone, Deserialize, Serialize)]
pub struct MessageContentToolCalls {
pub tool_results: Vec<ToolResult>,
@@ -215,13 +194,9 @@ impl MessageContentToolCalls {
}
}
pub fn merge(&mut self, mut tool_results: Vec<ToolResult>, text: String) {
if !text.is_empty()
&& let Some(first) = tool_results.first_mut()
{
first.text = Some(text);
}
pub fn merge(&mut self, tool_results: Vec<ToolResult>, _text: String) {
self.tool_results.extend(tool_results);
self.text.clear();
self.sequence = true;
}
}
-11
View File
@@ -4,8 +4,6 @@ mod common;
mod gemini_oauth;
mod message;
pub mod oauth;
mod openai_compatible_oauth;
mod openai_oauth;
#[macro_use]
mod macros;
mod model;
@@ -38,15 +36,6 @@ register_client!(
(bedrock, "bedrock", BedrockConfig, BedrockClient),
);
pub fn client_type_supports_oauth(type_str: &str) -> bool {
matches!(
type_str,
ClaudeClient::NAME | OpenAIClient::NAME | GeminiClient::NAME
) || ALL_PROVIDER_MODELS
.iter()
.any(|pm| pm.provider == type_str && pm.oauth.is_some())
}
pub const OPENAI_COMPATIBLE_PROVIDERS: [(&str, &str); 18] = [
("ai21", "https://api.ai21.com/studio/v1"),
(
-15
View File
@@ -6,7 +6,6 @@ use super::{
use crate::config::AppConfig;
use crate::utils::{estimate_token_length, strip_think_tag};
use super::oauth::OAuthConfig;
use anyhow::{Result, bail};
use serde::{Deserialize, Serialize};
use serde_json::Value;
@@ -290,14 +289,6 @@ impl Model {
}
Ok(())
}
pub fn reasoning_levels(&self) -> &[String] {
&self.data.reasoning_levels
}
pub fn default_reasoning_effort(&self) -> Option<&str> {
self.data.default_reasoning_effort.as_deref()
}
}
#[derive(Debug, Clone, Default, Serialize, Deserialize)]
@@ -325,10 +316,6 @@ pub struct ModelData {
pub supports_vision: bool,
#[serde(default, skip_serializing_if = "std::ops::Not::not")]
pub supports_function_calling: bool,
#[serde(default, skip_serializing_if = "Vec::is_empty")]
pub reasoning_levels: Vec<String>,
#[serde(skip_serializing_if = "Option::is_none")]
pub default_reasoning_effort: Option<String>,
#[serde(default, skip_serializing_if = "std::ops::Not::not")]
no_stream: bool,
#[serde(default, skip_serializing_if = "std::ops::Not::not")]
@@ -358,8 +345,6 @@ impl ModelData {
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ProviderModels {
pub provider: String,
#[serde(default)]
pub oauth: Option<OAuthConfig>,
pub models: Vec<ModelData>,
}
+98 -1053
View File
File diff suppressed because it is too large Load Diff
+42 -385
View File
@@ -1,17 +1,13 @@
use super::access_token::{get_access_token, get_access_token_account_id};
use super::oauth::{self, OAuthProvider};
use super::openai_oauth::OpenAIOAuthProvider;
use super::*;
use crate::utils::strip_think_tag;
use anyhow::{Context, Result, bail};
use reqwest::{Client as ReqwestClient, RequestBuilder};
use reqwest::RequestBuilder;
use serde::Deserialize;
use serde_json::{Value, json};
const API_BASE: &str = "https://api.openai.com/v1";
const CODEX_API_ENDPOINT: &str = "https://chatgpt.com/backend-api/codex/responses";
#[derive(Debug, Clone, Deserialize, Default)]
pub struct OpenAIConfig {
@@ -19,7 +15,6 @@ pub struct OpenAIConfig {
pub api_key: Option<String>,
pub api_base: Option<String>,
pub organization_id: Option<String>,
pub auth: Option<String>,
#[serde(default)]
pub models: Vec<ModelData>,
pub patch: Option<RequestPatch>,
@@ -30,131 +25,36 @@ impl OpenAIClient {
config_get_fn!(api_key, get_api_key);
config_get_fn!(api_base, get_api_base);
create_oauth_supported_client_config!();
create_client_config!([("api_key", "API Key", None, true)]);
}
#[async_trait::async_trait]
impl Client for OpenAIClient {
client_common_fns!();
impl_client_trait!(
OpenAIClient,
(
prepare_chat_completions,
openai_chat_completions,
openai_chat_completions_streaming
),
(prepare_embeddings, openai_embeddings),
(noop_prepare_rerank, noop_rerank),
);
fn supports_oauth(&self) -> bool {
self.config.auth.as_deref() == Some("oauth")
}
async fn chat_completions_inner(
&self,
client: &ReqwestClient,
data: ChatCompletionsData,
) -> Result<ChatCompletionsOutput> {
let uses_codex =
self.config.auth.as_deref() == Some("oauth") && self.get_api_base().is_err();
let request_data = prepare_chat_completions(self, client, data).await?;
let builder = self.request_builder(client, request_data);
if uses_codex {
openai_responses_chat_completions(builder, self.model()).await
} else {
openai_chat_completions(builder, self.model()).await
}
}
async fn chat_completions_streaming_inner(
&self,
client: &ReqwestClient,
handler: &mut SseHandler,
data: ChatCompletionsData,
) -> Result<()> {
let uses_codex =
self.config.auth.as_deref() == Some("oauth") && self.get_api_base().is_err();
let request_data = prepare_chat_completions(self, client, data).await?;
let builder = self.request_builder(client, request_data);
if uses_codex {
openai_responses_streaming(builder, handler).await
} else {
openai_chat_completions_streaming(builder, handler, self.model()).await
}
}
async fn embeddings_inner(
&self,
client: &ReqwestClient,
data: &EmbeddingsData,
) -> Result<EmbeddingsOutput> {
let request_data = prepare_embeddings(self, client, data).await?;
let builder = self.request_builder(client, request_data);
openai_embeddings(builder, self.model()).await
}
async fn rerank_inner(
&self,
client: &ReqwestClient,
data: &RerankData,
) -> Result<RerankOutput> {
let request_data = noop_prepare_rerank(self, data)?;
let builder = self.request_builder(client, request_data);
noop_rerank(builder, self.model()).await
}
}
async fn prepare_chat_completions(
fn prepare_chat_completions(
self_: &OpenAIClient,
client: &ReqwestClient,
data: ChatCompletionsData,
) -> Result<RequestData> {
let uses_oauth = self_.config.auth.as_deref() == Some("oauth");
let has_custom_base = self_.get_api_base().is_ok();
let api_key = self_.get_api_key()?;
let api_base = self_
.get_api_base()
.unwrap_or_else(|_| API_BASE.to_string());
let uses_codex = uses_oauth && !has_custom_base;
let url = format!("{}/chat/completions", api_base.trim_end_matches('/'));
let url = if uses_codex {
CODEX_API_ENDPOINT.to_string()
} else {
let api_base = self_
.get_api_base()
.unwrap_or_else(|_| API_BASE.to_string());
format!("{}/chat/completions", api_base.trim_end_matches('/'))
};
let body = if uses_codex {
openai_build_responses_body(data, &self_.model)
} else {
openai_build_chat_completions_body(data, &self_.model)
};
let body = openai_build_chat_completions_body(data, &self_.model);
let mut request_data = RequestData::new(url, body);
if uses_oauth {
let provider = OpenAIOAuthProvider;
let ready = oauth::prepare_oauth_access_token(client, &provider, self_.name()).await?;
if !ready {
bail!(
"OAuth configured but no tokens found for '{}'. Run: 'coyote --authenticate {}' or '.authenticate' in the REPL",
self_.name(),
self_.name()
);
}
let token = get_access_token(self_.name())?;
request_data.bearer_auth(token);
if let Some(account_id) = get_access_token_account_id(self_.name()) {
request_data.header("ChatGPT-Account-Id", account_id);
}
for (key, value) in provider.extra_request_headers() {
request_data.header(key, value);
}
} else if let Ok(api_key) = self_.get_api_key() {
request_data.bearer_auth(api_key);
} else {
bail!(
"No authentication configured for '{}'. Set `api_key` or use `auth: oauth` with `coyote --authenticate {}`.",
self_.name(),
self_.name()
);
}
request_data.bearer_auth(api_key);
if let Some(organization_id) = &self_.config.organization_id {
request_data.header("OpenAI-Organization", organization_id);
}
@@ -162,11 +62,8 @@ async fn prepare_chat_completions(
Ok(request_data)
}
async fn prepare_embeddings(
self_: &OpenAIClient,
client: &ReqwestClient,
data: &EmbeddingsData,
) -> Result<RequestData> {
fn prepare_embeddings(self_: &OpenAIClient, data: &EmbeddingsData) -> Result<RequestData> {
let api_key = self_.get_api_key()?;
let api_base = self_
.get_api_base()
.unwrap_or_else(|_| API_BASE.to_string());
@@ -177,30 +74,7 @@ async fn prepare_embeddings(
let mut request_data = RequestData::new(url, body);
if self_.config.auth.as_deref() == Some("oauth") {
let provider = OpenAIOAuthProvider;
let ready = oauth::prepare_oauth_access_token(client, &provider, self_.name()).await?;
if !ready {
bail!(
"OAuth configured but no tokens found for '{}'. Run: 'coyote --authenticate {}' or '.authenticate' in the REPL",
self_.name(),
self_.name()
);
}
let token = get_access_token(self_.name())?;
request_data.bearer_auth(token);
} else if let Ok(api_key) = self_.get_api_key() {
request_data.bearer_auth(api_key);
} else {
bail!(
"No authentication configured for '{}'. Set `api_key` or use `auth: oauth` with `coyote --authenticate {}`.",
self_.name(),
self_.name()
);
}
request_data.bearer_auth(api_key);
if let Some(organization_id) = &self_.config.organization_id {
request_data.header("OpenAI-Organization", organization_id);
}
@@ -356,7 +230,6 @@ pub fn openai_build_chat_completions_body(data: ChatCompletionsData, model: &Mod
messages,
temperature,
top_p,
reasoning_effort,
functions,
stream,
} = data;
@@ -370,7 +243,7 @@ pub fn openai_build_chat_completions_body(data: ChatCompletionsData, model: &Mod
match content {
MessageContent::ToolCalls(MessageContentToolCalls {
tool_results,
text,
text: _,
sequence,
}) => {
if !sequence {
@@ -387,12 +260,9 @@ pub fn openai_build_chat_completions_body(data: ChatCompletionsData, model: &Mod
})
})
.collect();
let mut assistant_message =
json!({ "role": MessageRole::Assistant, "tool_calls": tool_calls });
if !text.is_empty() {
assistant_message["content"] = strip_think_tag(&text).into();
}
let mut messages = vec![assistant_message];
let mut messages = vec![
json!({ "role": MessageRole::Assistant, "tool_calls": tool_calls }),
];
for tool_result in tool_results {
messages.push(json!({
"role": "tool",
@@ -402,30 +272,21 @@ pub fn openai_build_chat_completions_body(data: ChatCompletionsData, model: &Mod
}
messages
} else {
tool_results.into_iter().enumerate().flat_map(|(index, tool_result)| {
let round_text = if index == 0 && !text.is_empty() {
Some(text.clone())
} else {
tool_result.text.clone()
};
let mut assistant_message = json!({
"role": MessageRole::Assistant,
"tool_calls": [
{
"id": tool_result.call.id,
"type": "function",
"function": {
"name": tool_result.call.name,
"arguments": tool_result.call.arguments.to_string(),
},
}
]
});
if let Some(round_text) = round_text {
assistant_message["content"] = strip_think_tag(&round_text).into();
}
tool_results.into_iter().flat_map(|tool_result| {
vec![
assistant_message,
json!({
"role": MessageRole::Assistant,
"tool_calls": [
{
"id": tool_result.call.id,
"type": "function",
"function": {
"name": tool_result.call.name,
"arguments": tool_result.call.arguments.to_string(),
},
}
]
}),
json!({
"role": "tool",
"content": tool_result.output.to_string(),
@@ -467,9 +328,6 @@ pub fn openai_build_chat_completions_body(data: ChatCompletionsData, model: &Mod
if let Some(v) = top_p {
body["top_p"] = v.into();
}
if let Some(v) = reasoning_effort {
body["reasoning_effort"] = v.into();
}
if stream {
body["stream"] = true.into();
}
@@ -533,7 +391,7 @@ pub fn openai_extract_chat_completions(data: &Value) -> Result<ChatCompletionsOu
} else {
text.to_string()
};
let output = ChatCompletionsOutput { text, tool_calls, ..Default::default() };
let output = ChatCompletionsOutput { text, tool_calls };
Ok(output)
}
@@ -544,204 +402,3 @@ fn normalize_function_id(value: &str) -> Option<String> {
Some(value.to_string())
}
}
pub fn openai_build_responses_body(data: ChatCompletionsData, model: &Model) -> Value {
let ChatCompletionsData {
messages,
temperature,
top_p,
reasoning_effort,
functions,
stream,
} = data;
let messages_len = messages.len();
let input: Vec<Value> = messages
.into_iter()
.enumerate()
.flat_map(|(i, message)| {
let Message { role, content } = message;
match content {
MessageContent::ToolCalls(MessageContentToolCalls {
tool_results,
text,
sequence: _,
}) => tool_results
.into_iter()
.enumerate()
.flat_map(|(index, tool_result)| {
let round_text = if index == 0 && !text.is_empty() {
Some(text.clone())
} else {
tool_result.text.clone()
};
let mut items = vec![];
if let Some(round_text) = round_text {
items.push(json!({
"role": MessageRole::Assistant,
"content": strip_think_tag(&round_text),
}));
}
items.push(json!({
"type": "function_call",
"call_id": tool_result.call.id,
"name": tool_result.call.name,
"arguments": tool_result.call.arguments.to_string(),
}));
items.push(json!({
"type": "function_call_output",
"call_id": tool_result.call.id,
"output": tool_result.output.to_string(),
}));
items
})
.collect(),
MessageContent::Text(text) if role.is_assistant() && i != messages_len - 1 => {
vec![json!({ "role": role, "content": strip_think_tag(&text) })]
}
_ => vec![json!({ "role": role, "content": content })],
}
})
.collect();
let mut body = json!({
"model": &model.real_name(),
"input": input,
"store": false,
});
if let Some(v) = model.max_tokens_param() {
body["max_output_tokens"] = v.into();
}
if let Some(v) = temperature {
body["temperature"] = v.into();
}
if let Some(v) = top_p {
body["top_p"] = v.into();
}
if let Some(v) = reasoning_effort {
body["reasoning"] = json!({ "effort": v });
}
if stream {
body["stream"] = true.into();
}
if let Some(functions) = functions {
body["tools"] = functions
.iter()
.map(|v| {
let mut tool = serde_json::to_value(v).unwrap_or_default();
tool["type"] = "function".into();
tool
})
.collect();
}
body
}
pub async fn openai_responses_chat_completions(
builder: RequestBuilder,
_model: &Model,
) -> Result<ChatCompletionsOutput> {
let res = builder.send().await?;
let status = res.status();
let data: Value = res.json().await?;
if !status.is_success() {
catch_error(&data, status.as_u16())?;
}
debug!("non-stream-data: {data}");
openai_extract_responses(&data)
}
pub fn openai_extract_responses(data: &Value) -> Result<ChatCompletionsOutput> {
let mut text = String::new();
let mut tool_calls = vec![];
if let Some(output) = data["output"].as_array() {
for item in output {
match item["type"].as_str() {
Some("message") => {
if let Some(content) = item["content"].as_array() {
for part in content {
if part["type"].as_str() == Some("output_text")
&& let Some(t) = part["text"].as_str()
{
text.push_str(t);
}
}
}
}
Some("function_call") => {
if let (Some(name), Some(arguments_str), Some(call_id)) = (
item["name"].as_str(),
item["arguments"].as_str(),
item["call_id"].as_str(),
) {
let arguments: Value = arguments_str.parse().with_context(|| {
format!("Tool call '{name}' has non-JSON arguments '{arguments_str}'")
})?;
tool_calls.push(ToolCall::new(
name.to_string(),
arguments,
Some(call_id.to_string()),
));
}
}
_ => {}
}
}
}
if text.is_empty() && tool_calls.is_empty() {
bail!("Invalid response data: {data}");
}
Ok(ChatCompletionsOutput { text, tool_calls, ..Default::default() })
}
pub async fn openai_responses_streaming(
builder: RequestBuilder,
handler: &mut SseHandler,
) -> Result<()> {
let handle = |message: SseMessage| -> Result<bool> {
if message.data == "[DONE]" {
return Ok(true);
}
let data: Value = serde_json::from_str(&message.data)?;
debug!("stream-data: {data}");
match data["type"].as_str() {
Some("response.output_text.delta") => {
if let Some(delta) = data["delta"].as_str().filter(|v| !v.is_empty()) {
handler.text(delta)?;
}
}
Some("response.output_item.done") => {
let item = &data["item"];
if item["type"].as_str() == Some("function_call")
&& let (Some(name), Some(arguments_str), Some(call_id)) = (
item["name"].as_str(),
item["arguments"].as_str(),
item["call_id"].as_str(),
)
{
let arguments: Value = arguments_str.parse().with_context(|| {
format!("Tool call '{name}' has non-JSON arguments '{arguments_str}'")
})?;
handler.tool_call(ToolCall::new(
name.to_string(),
arguments,
Some(call_id.to_string()),
))?;
}
}
Some("response.completed") => {
return Ok(true);
}
_ => {}
}
Ok(false)
};
sse_stream(builder, handle).await
}
+42 -128
View File
@@ -1,21 +1,16 @@
use super::access_token::get_access_token;
use super::oauth;
use super::openai::*;
use super::*;
use anyhow::{Context, Result, anyhow, bail};
use reqwest::{Client as ReqwestClient, RequestBuilder};
use anyhow::{Context, Result};
use reqwest::RequestBuilder;
use serde::Deserialize;
use serde_json::{Value, json};
use oauth::OAuthConfig;
#[derive(Debug, Clone, Deserialize)]
pub struct OpenAICompatibleConfig {
pub name: Option<String>,
pub api_base: Option<String>,
pub api_key: Option<String>,
pub auth: Option<String>,
pub oauth: Option<Box<OAuthConfig>>,
#[serde(default)]
pub models: Vec<ModelData>,
pub patch: Option<RequestPatch>,
@@ -29,157 +24,76 @@ impl OpenAICompatibleClient {
create_client_config!([]);
}
#[async_trait::async_trait]
impl Client for OpenAICompatibleClient {
client_common_fns!();
impl_client_trait!(
OpenAICompatibleClient,
(
prepare_chat_completions,
openai_chat_completions,
openai_chat_completions_streaming
),
(prepare_embeddings, openai_embeddings),
(prepare_rerank, generic_rerank),
);
fn supports_oauth(&self) -> bool {
self.config.auth.as_deref() == Some("oauth")
}
async fn chat_completions_inner(
&self,
client: &ReqwestClient,
data: ChatCompletionsData,
) -> Result<ChatCompletionsOutput> {
let request_data = prepare_chat_completions(self, client, data).await?;
let builder = self.request_builder(client, request_data);
openai_chat_completions(builder, self.model()).await
}
async fn chat_completions_streaming_inner(
&self,
client: &ReqwestClient,
handler: &mut SseHandler,
data: ChatCompletionsData,
) -> Result<()> {
let request_data = prepare_chat_completions(self, client, data).await?;
let builder = self.request_builder(client, request_data);
openai_chat_completions_streaming(builder, handler, self.model()).await
}
async fn embeddings_inner(
&self,
client: &ReqwestClient,
data: &EmbeddingsData,
) -> Result<EmbeddingsOutput> {
let request_data = prepare_embeddings(self, client, data).await?;
let builder = self.request_builder(client, request_data);
openai_embeddings(builder, self.model()).await
}
async fn rerank_inner(
&self,
client: &ReqwestClient,
data: &RerankData,
) -> Result<RerankOutput> {
let request_data = prepare_rerank(self, client, data).await?;
let builder = self.request_builder(client, request_data);
generic_rerank(builder, self.model()).await
}
}
async fn prepare_chat_completions(
fn prepare_chat_completions(
self_: &OpenAICompatibleClient,
client: &ReqwestClient,
data: ChatCompletionsData,
) -> Result<RequestData> {
let api_key = self_.get_api_key().ok();
let api_base = get_api_base_ext(self_)?;
let url = format!("{api_base}/chat/completions");
let body = openai_build_chat_completions_body(data, &self_.model);
let mut request_data = RequestData::new(url, body);
apply_auth(self_, client, &mut request_data).await?;
if let Some(api_key) = api_key {
request_data.bearer_auth(api_key);
}
Ok(request_data)
}
async fn prepare_embeddings(
fn prepare_embeddings(
self_: &OpenAICompatibleClient,
client: &ReqwestClient,
data: &EmbeddingsData,
) -> Result<RequestData> {
let api_key = self_.get_api_key().ok();
let api_base = get_api_base_ext(self_)?;
let url = format!("{api_base}/embeddings");
let body = openai_build_embeddings_body(data, &self_.model);
let mut request_data = RequestData::new(url, body);
apply_auth(self_, client, &mut request_data).await?;
if let Some(api_key) = api_key {
request_data.bearer_auth(api_key);
}
Ok(request_data)
}
async fn prepare_rerank(
self_: &OpenAICompatibleClient,
client: &ReqwestClient,
data: &RerankData,
) -> Result<RequestData> {
fn prepare_rerank(self_: &OpenAICompatibleClient, data: &RerankData) -> Result<RequestData> {
let api_key = self_.get_api_key().ok();
let api_base = get_api_base_ext(self_)?;
let url = if self_.name().starts_with("ernie") {
format!("{api_base}/rerankers")
} else {
format!("{api_base}/rerank")
};
let body = generic_build_rerank_body(data, &self_.model);
let mut request_data = RequestData::new(url, body);
apply_auth(self_, client, &mut request_data).await?;
Ok(request_data)
}
async fn apply_auth(
self_: &OpenAICompatibleClient,
client: &ReqwestClient,
request_data: &mut RequestData,
) -> Result<()> {
if self_.config.auth.as_deref() == Some("oauth") {
let client_name = self_.name();
let app_config = self_.app_config();
let cc = app_config
.clients
.iter()
.find(|cc| {
matches!(
cc,
ClientConfig::OpenAICompatibleConfig(c)
if c.name.as_deref().unwrap_or("openai-compatible") == client_name
)
})
.ok_or_else(|| {
anyhow!("Could not locate ClientConfig entry for '{}'", client_name)
})?;
let provider = oauth::get_oauth_provider_for_client(cc, &ALL_PROVIDER_MODELS)
.ok_or_else(|| {
anyhow!(
"OAuth configured for '{}' but no oauth block resolved (missing from both models.yaml and user config)",
client_name
)
})?;
let ready = oauth::prepare_oauth_access_token(client, &*provider, client_name).await?;
if !ready {
bail!(
"OAuth configured for '{}' but no tokens found. Run: 'coyote --authenticate {}' or '.authenticate' in the REPL",
client_name,
client_name
);
}
let token = get_access_token(client_name)?;
request_data.bearer_auth(token);
for (key, value) in provider.extra_request_headers() {
request_data.header(key, value);
}
} else if let Ok(api_key) = self_.get_api_key() {
let body = generic_build_rerank_body(data, &self_.model);
let mut request_data = RequestData::new(url, body);
if let Some(api_key) = api_key {
request_data.bearer_auth(api_key);
}
Ok(())
Ok(request_data)
}
fn get_api_base_ext(self_: &OpenAICompatibleClient) -> Result<String> {
-113
View File
@@ -1,113 +0,0 @@
use url::Url;
use super::oauth::{OAuthConfig, OAuthFlow, OAuthProvider, TokenRequestFormat};
pub struct OpenAICompatibleOAuthProvider {
pub config: OAuthConfig,
pub client_name: String,
}
fn is_loopback_uri(uri: &str) -> bool {
Url::parse(uri)
.ok()
.and_then(|u| u.host_str().map(str::to_string))
.is_some_and(|host| matches!(host.as_str(), "127.0.0.1" | "localhost" | "[::1]" | "::1"))
}
impl OAuthProvider for OpenAICompatibleOAuthProvider {
fn provider_name(&self) -> &str {
&self.client_name
}
fn client_id(&self) -> &str {
&self.config.client_id
}
fn authorize_url(&self) -> &str {
self.config.authorize_url.as_deref().unwrap_or("")
}
fn token_url(&self) -> &str {
&self.config.token_url
}
fn redirect_uri(&self) -> &str {
self.config.redirect_uri.as_deref().unwrap_or("")
}
fn scopes(&self) -> String {
self.config.scopes.join(" ")
}
fn client_secret(&self) -> Option<&str> {
self.config.client_secret.as_deref()
}
fn extra_authorize_params(&self) -> Vec<(&str, &str)> {
self.config
.extra_authorize_params
.iter()
.map(|(k, v)| (k.as_str(), v.as_str()))
.collect()
}
fn token_request_format(&self) -> TokenRequestFormat {
self.config
.token_request_format
.unwrap_or(TokenRequestFormat::FormUrlEncoded)
}
fn uses_localhost_redirect(&self) -> bool {
self.config.redirect_uri.is_none() && self.config.redirect_port.is_none()
}
fn extra_token_headers(&self) -> Vec<(&str, &str)> {
self.config
.extra_token_headers
.iter()
.map(|(k, v)| (k.as_str(), v.as_str()))
.collect()
}
fn extra_request_headers(&self) -> Vec<(&str, &str)> {
self.config
.extra_request_headers
.iter()
.map(|(k, v)| (k.as_str(), v.as_str()))
.collect()
}
fn fixed_redirect_uri(&self) -> Option<String> {
if let Some(uri) = &self.config.redirect_uri {
return if is_loopback_uri(uri) {
Some(uri.clone())
} else {
None
};
}
if let Some(port) = self.config.redirect_port {
return Some(format!("http://127.0.0.1:{port}/callback"));
}
None
}
fn include_state_in_token_exchange(&self) -> bool {
self.config.include_state_in_token_exchange
}
fn flow(&self) -> OAuthFlow {
self.config.flow
}
fn echo_pkce_in_token_exchange(&self) -> bool {
self.config.echo_pkce_in_token_exchange
}
fn device_authorization_url(&self) -> Option<&str> {
self.config.device_authorization_url.as_deref()
}
fn use_pkce_in_device_flow(&self) -> bool {
self.config.use_pkce_in_device_flow
}
}
-79
View File
@@ -1,79 +0,0 @@
use super::oauth::{OAuthProvider, TokenRequestFormat};
use base64::Engine;
use base64::engine::general_purpose::URL_SAFE_NO_PAD;
use serde_json::Value;
pub struct OpenAIOAuthProvider;
impl OAuthProvider for OpenAIOAuthProvider {
fn provider_name(&self) -> &str {
"openai"
}
fn client_id(&self) -> &str {
"app_EMoamEEZ73f0CkXaXp7hrann"
}
fn authorize_url(&self) -> &str {
"https://auth.openai.com/oauth/authorize"
}
fn token_url(&self) -> &str {
"https://auth.openai.com/oauth/token"
}
fn redirect_uri(&self) -> &str {
"http://localhost:1455/auth/callback"
}
fn scopes(&self) -> String {
"openid profile email offline_access".to_string()
}
fn token_request_format(&self) -> TokenRequestFormat {
TokenRequestFormat::FormUrlEncoded
}
fn extra_authorize_params(&self) -> Vec<(&str, &str)> {
vec![
("id_token_add_organizations", "true"),
("codex_cli_simplified_flow", "true"),
]
}
fn fixed_redirect_uri(&self) -> Option<String> {
Some("http://localhost:1455/auth/callback".to_string())
}
fn include_state_in_token_exchange(&self) -> bool {
false
}
fn extract_account_id(&self, response: &Value) -> Option<String> {
let id_token = response["id_token"].as_str().unwrap_or_default();
let access_token = response["access_token"].as_str().unwrap_or_default();
extract_account_id_from_jwt(id_token).or_else(|| extract_account_id_from_jwt(access_token))
}
}
fn extract_account_id_from_jwt(token: &str) -> Option<String> {
let parts: Vec<&str> = token.splitn(3, '.').collect();
if parts.len() < 2 {
return None;
}
let decoded = URL_SAFE_NO_PAD.decode(parts[1]).ok()?;
let claims: Value = serde_json::from_slice(&decoded).ok()?;
claims["chatgpt_account_id"]
.as_str()
.map(|s| s.to_string())
.or_else(|| {
claims["https://api.openai.com/auth"]["chatgpt_account_id"]
.as_str()
.map(|s| s.to_string())
})
.or_else(|| {
claims["organizations"][0]["id"]
.as_str()
.map(|s| s.to_string())
})
}
+6 -15
View File
@@ -1,4 +1,4 @@
use super::{ThinkingBlock, ToolCall, catch_error};
use super::{ToolCall, catch_error};
use crate::utils::AbortSignal;
use anyhow::{Context, Result, anyhow, bail};
@@ -13,7 +13,6 @@ pub struct SseHandler {
abort_signal: AbortSignal,
buffer: String,
tool_calls: Vec<ToolCall>,
thinking: Vec<ThinkingBlock>,
last_tool_calls: Vec<ToolCall>,
max_call_repeats: usize,
call_repeat_chain_len: usize,
@@ -27,7 +26,6 @@ impl SseHandler {
abort_signal,
buffer: String::new(),
tool_calls: Vec::new(),
thinking: Vec::new(),
last_tool_calls: Vec::new(),
max_call_repeats: 2,
call_repeat_chain_len: 3,
@@ -172,10 +170,6 @@ impl SseHandler {
message
}
pub fn thinking_block(&mut self, block: ThinkingBlock) {
self.thinking.push(block);
}
pub fn abort(&self) -> AbortSignal {
self.abort_signal.clone()
}
@@ -185,14 +179,11 @@ impl SseHandler {
&self.last_tool_calls
}
pub fn take(self) -> (String, Vec<ToolCall>, Vec<ThinkingBlock>) {
pub fn take(self) -> (String, Vec<ToolCall>) {
let Self {
buffer,
tool_calls,
thinking,
..
buffer, tool_calls, ..
} = self;
(buffer, tool_calls, thinking)
(buffer, tool_calls)
}
}
@@ -241,8 +232,8 @@ where
.map(|value| value.to_string());
let is_event_stream = content_type
.as_deref()
.map(|ct| ct.is_empty() || ct.starts_with("text/event-stream"))
.unwrap_or(true);
.map(|ct| ct.starts_with("text/event-stream"))
.unwrap_or(false);
if !is_event_stream {
let header_value = content_type.unwrap_or_default();
let text = res.text().await?;
+6 -21
View File
@@ -322,11 +322,7 @@ fn gemini_extract_chat_completions_text(data: &Value) -> Result<ChatCompletionsO
bail!("Invalid response data: {data}");
}
}
let output = ChatCompletionsOutput {
text,
tool_calls,
..Default::default()
};
let output = ChatCompletionsOutput { text, tool_calls };
Ok(output)
}
@@ -338,7 +334,6 @@ pub fn gemini_build_chat_completions_body(
mut messages,
temperature,
top_p,
reasoning_effort,
functions,
stream: _,
} = data;
@@ -376,15 +371,8 @@ pub fn gemini_build_chat_completions_body(
.collect();
vec![json!({ "role": role, "parts": parts })]
},
MessageContent::ToolCalls(MessageContentToolCalls { tool_results, text, .. }) => {
let mut model_parts: Vec<Value> = vec![];
if !text.is_empty() {
model_parts.push(json!({ "text": text }));
}
for tool_result in tool_results.iter() {
if let Some(round_text) = &tool_result.text {
model_parts.push(json!({ "text": round_text }));
}
MessageContent::ToolCalls(MessageContentToolCalls { tool_results, .. }) => {
let model_parts: Vec<Value> = tool_results.iter().map(|tool_result| {
let mut part = json!({
"functionCall": {
"name": tool_result.call.name,
@@ -394,8 +382,8 @@ pub fn gemini_build_chat_completions_body(
if let Some(sig) = &tool_result.call.thought_signature {
part["thoughtSignature"] = json!(sig);
}
model_parts.push(part);
}
part
}).collect();
let function_parts: Vec<Value> = tool_results.into_iter().map(|tool_result| {
json!({
"functionResponse": {
@@ -438,9 +426,6 @@ pub fn gemini_build_chat_completions_body(
if let Some(v) = top_p {
body["generationConfig"]["topP"] = v.into();
}
if let Some(v) = reasoning_effort {
body["generationConfig"]["thinking_config"] = json!({"thinking_level": v});
}
if let Some(functions) = functions {
// Gemini doesn't support functions with parameters that have empty properties, so we need to patch it.
@@ -498,7 +483,7 @@ pub async fn prepare_gcloud_access_token(
let expires_at = Utc::now()
+ Duration::try_seconds(expires_in)
.ok_or_else(|| anyhow!("Failed to parse expires_in of access_token"))?;
set_access_token(client_name, token, expires_at.timestamp(), None)
set_access_token(client_name, token, expires_at.timestamp())
}
Ok(())
}
+14 -127
View File
@@ -43,8 +43,6 @@ pub struct Agent {
graph_rags: HashMap<String, Arc<Rag>>,
model: Model,
vault: GlobalVault,
is_graph: bool,
enabled_tools: Option<Vec<String>>,
}
impl Agent {
@@ -221,7 +219,7 @@ impl Agent {
&& !matches!(agent_config.memory, Some(false))
&& !matches!(app.memory, Some(false))
{
let memory_exists = paths::global_memory_index_file().exists()
let memory_exists = paths::global_memory_index_path().exists()
|| env::current_dir()
.ok()
.and_then(|cwd| memory::discover_workspace_memory(&cwd))
@@ -245,8 +243,6 @@ impl Agent {
graph_rags,
model,
vault: app_state.vault.clone(),
is_graph: graph_for_rag.is_some(),
enabled_tools: None,
})
}
@@ -343,10 +339,6 @@ impl Agent {
&self.name
}
pub fn is_graph(&self) -> bool {
self.is_graph
}
pub fn functions(&self) -> &Functions {
&self.functions
}
@@ -367,10 +359,6 @@ impl Agent {
&self.config.mcp_servers
}
pub fn spawnable_agents(&self) -> Option<&[String]> {
self.config.spawnable_agents.as_deref()
}
pub fn skills_enabled(&self) -> Option<bool> {
self.config.skills_enabled
}
@@ -531,14 +519,6 @@ impl Agent {
self.config.compression_threshold
}
pub fn max_tool_result_chars(&self) -> Option<usize> {
self.config.max_tool_result_chars
}
pub fn compression_keep_last(&self) -> Option<usize> {
self.config.compression_keep_last
}
pub fn is_dynamic_instructions(&self) -> bool {
self.config.dynamic_instructions
}
@@ -595,12 +575,8 @@ impl RoleLike for Agent {
self.config.top_p
}
fn reasoning_effort(&self) -> Option<String> {
self.config.reasoning_effort.clone()
}
fn enabled_tools(&self) -> Option<Vec<String>> {
self.enabled_tools.clone()
None
}
fn enabled_mcp_servers(&self) -> Option<Vec<String>> {
@@ -620,18 +596,19 @@ impl RoleLike for Agent {
self.config.top_p = value;
}
fn set_reasoning_effort(&mut self, value: Option<String>) {
self.config.reasoning_effort = value;
}
fn set_enabled_tools(&mut self, value: Option<Vec<String>>) {
self.enabled_tools = value.map(|tools| {
tools
.into_iter()
.map(|v| v.trim().to_string())
.filter(|v| !v.is_empty())
.collect::<Vec<_>>()
});
match value {
Some(tools) => {
self.config.global_tools = tools
.into_iter()
.map(|v| v.trim().to_string())
.filter(|v| !v.is_empty())
.collect::<Vec<_>>();
}
None => {
self.config.global_tools.clear();
}
}
}
fn set_enabled_mcp_servers(&mut self, value: Option<Vec<String>>) {
@@ -660,15 +637,11 @@ pub struct AgentConfig {
#[serde(skip_serializing_if = "Option::is_none")]
pub top_p: Option<f64>,
#[serde(skip_serializing_if = "Option::is_none")]
pub reasoning_effort: Option<String>,
#[serde(skip_serializing_if = "Option::is_none")]
pub agent_session: Option<String>,
#[serde(default)]
pub auto_continue: bool,
#[serde(default)]
pub can_spawn_agents: bool,
#[serde(default, skip_serializing_if = "Option::is_none")]
pub spawnable_agents: Option<Vec<String>>,
#[serde(default = "default_max_concurrent_agents")]
pub max_concurrent_agents: usize,
#[serde(default = "default_max_agent_depth")]
@@ -687,10 +660,6 @@ pub struct AgentConfig {
pub memory: Option<bool>,
#[serde(skip_serializing_if = "Option::is_none")]
pub compression_threshold: Option<usize>,
#[serde(default, skip_serializing_if = "Option::is_none")]
pub max_tool_result_chars: Option<usize>,
#[serde(default, skip_serializing_if = "Option::is_none")]
pub compression_keep_last: Option<usize>,
#[serde(default)]
pub description: String,
#[serde(default)]
@@ -763,7 +732,6 @@ impl AgentConfig {
model_id: graph.model.clone(),
temperature: graph.temperature,
top_p: graph.top_p,
reasoning_effort: graph.reasoning_effort.clone(),
description: graph.description.clone(),
global_tools: graph.global_tools.clone(),
mcp_servers: graph.mcp_servers.clone(),
@@ -798,9 +766,6 @@ impl AgentConfig {
if let Some(v) = read_env_value::<f64>(&with_prefix("top_p")) {
self.top_p = v;
}
if let Some(v) = read_env_value::<String>(&with_prefix("reasoning_effort")) {
self.reasoning_effort = v;
}
if let Ok(v) = env::var(with_prefix("global_tools"))
&& let Ok(v) = serde_json::from_str(&v)
{
@@ -811,11 +776,6 @@ impl AgentConfig {
{
self.mcp_servers = v;
}
if let Ok(v) = env::var(with_prefix("spawnable_agents"))
&& let Ok(v) = serde_json::from_str(&v)
{
self.spawnable_agents = Some(v);
}
if let Some(v) = read_env_value::<String>(&with_prefix("agent_session")) {
self.agent_session = v;
}
@@ -961,9 +921,6 @@ async fn init_graph_rags(
reranker_model: rag_node.reranker_model.clone(),
top_k: rag_node.top_k,
batch_size: rag_node.batch_size,
extractor_model: rag_node.extractor_model.clone(),
extractor_prompt: rag_node.extractor_prompt.clone(),
graph_hops: rag_node.graph_hops,
};
let fully_specified = config.embedding_model.is_some()
&& config.chunk_size.is_some()
@@ -1039,36 +996,6 @@ pub fn list_agents() -> Vec<String> {
agents
}
pub fn list_agents_with_descriptions() -> Vec<(String, String)> {
list_agents()
.into_iter()
.map(|name| {
let description = load_agent_description(&name);
(name, description)
})
.collect()
}
#[derive(Deserialize)]
struct AgentMetadataStub {
#[serde(default)]
description: String,
}
fn load_agent_description(name: &str) -> String {
if let Ok(config) = AgentConfig::load(&paths::agent_config_file(name)) {
return config.description;
}
if let Ok(contents) = read_to_string(paths::agent_graph_file(name))
&& let Ok(meta) = serde_yaml::from_str::<AgentMetadataStub>(&contents)
{
return meta.description;
}
String::new()
}
pub fn complete_agent_variables(agent_name: &str) -> Vec<(String, Option<String>)> {
let config_path = paths::agent_config_file(agent_name);
if !config_path.exists() {
@@ -1258,44 +1185,4 @@ variables:
assert_eq!(config.max_agent_depth, default_max_agent_depth());
assert_eq!(config.escalation_timeout, default_escalation_timeout());
}
#[test]
fn agent_metadata_stub_extracts_description_from_graph_yaml() {
let yaml = r#"
name: librarian
description: External-reference research agent.
version: "1.0"
start: triage
nodes: {}
"#;
let meta: AgentMetadataStub = serde_yaml::from_str(yaml).unwrap();
assert_eq!(meta.description, "External-reference research agent.");
}
#[test]
fn agent_metadata_stub_extracts_multiline_description() {
let yaml = r#"
name: coder
description: |
Implementation agent. Plans, implements, and runs build + tests in a
bounded fix-loop until verified.
version: "1.0"
"#;
let meta: AgentMetadataStub = serde_yaml::from_str(yaml).unwrap();
assert!(meta.description.starts_with("Implementation agent."));
assert!(meta.description.contains("bounded fix-loop"));
}
#[test]
fn agent_metadata_stub_defaults_when_description_missing() {
let yaml = "name: nameless\nversion: \"1.0\"\n";
let meta: AgentMetadataStub = serde_yaml::from_str(yaml).unwrap();
assert_eq!(meta.description, "");
}
}
+14 -102
View File
@@ -1,4 +1,4 @@
use crate::client::{ClientConfig, Model, ModelType, list_models};
use crate::client::{ClientConfig, list_models};
use crate::render::{MarkdownRender, RenderOptions};
use crate::utils::{IS_STDOUT_TERMINAL, NO_COLOR, decode_bin, get_env_name};
@@ -21,7 +21,6 @@ pub struct AppConfig {
pub model_id: String,
pub temperature: Option<f64>,
pub top_p: Option<f64>,
pub reasoning_effort: Option<String>,
pub dry_run: bool,
pub stream: bool,
@@ -62,40 +61,30 @@ pub struct AppConfig {
pub save_session: Option<bool>,
pub compression_threshold: usize,
pub compression_keep_last: usize,
pub summarization_prompt: Option<String>,
pub summary_context_prompt: Option<String>,
pub max_tool_result_chars: Option<usize>,
pub memory: Option<bool>,
pub memory_cap_with_tools: Option<usize>,
pub memory_cap_without_tools: Option<usize>,
pub workspace_instructions: Option<bool>,
pub workspace_instructions_files: Option<Vec<String>>,
pub rag_embedding_model: Option<String>,
pub rag_reranker_model: Option<String>,
pub rag_top_k: usize,
pub rag_chunk_size: Option<usize>,
pub rag_chunk_overlap: Option<usize>,
pub rag_template: Option<String>,
pub rag_extractor_model: Option<String>,
pub rag_extractor_prompt: Option<String>,
pub rag_graph_hops: usize,
#[serde(default)]
pub document_loaders: HashMap<String, String>,
pub highlight: bool,
pub raw_markdown: bool,
pub theme: Option<String>,
pub left_prompt: Option<String>,
pub right_prompt: Option<String>,
pub user_agent: Option<String>,
pub save_shell_history: bool,
pub no_workspace_mcp: bool,
pub sync_models_url: Option<String>,
pub clients: Vec<ClientConfig>,
@@ -107,7 +96,6 @@ impl Default for AppConfig {
model_id: Default::default(),
temperature: None,
top_p: None,
reasoning_effort: None,
dry_run: false,
stream: true,
@@ -145,39 +133,29 @@ impl Default for AppConfig {
save_session: None,
compression_threshold: 4000,
compression_keep_last: 0,
summarization_prompt: None,
summary_context_prompt: None,
max_tool_result_chars: None,
memory: None,
memory_cap_with_tools: None,
memory_cap_without_tools: None,
workspace_instructions: None,
workspace_instructions_files: None,
rag_embedding_model: None,
rag_reranker_model: None,
rag_top_k: 5,
rag_chunk_size: None,
rag_chunk_overlap: None,
rag_template: None,
rag_extractor_model: None,
rag_extractor_prompt: None,
rag_graph_hops: 1,
document_loaders: Default::default(),
highlight: true,
raw_markdown: false,
theme: None,
left_prompt: None,
right_prompt: None,
user_agent: None,
save_shell_history: true,
no_workspace_mcp: false,
sync_models_url: None,
clients: vec![],
@@ -191,7 +169,6 @@ impl AppConfig {
model_id: config.model_id,
temperature: config.temperature,
top_p: config.top_p,
reasoning_effort: None,
dry_run: config.dry_run,
stream: config.stream,
@@ -229,39 +206,29 @@ impl AppConfig {
save_session: config.save_session,
compression_threshold: config.compression_threshold,
compression_keep_last: config.compression_keep_last,
summarization_prompt: config.summarization_prompt,
summary_context_prompt: config.summary_context_prompt,
max_tool_result_chars: config.max_tool_result_chars,
memory: config.memory,
memory_cap_with_tools: config.memory_cap_with_tools,
memory_cap_without_tools: config.memory_cap_without_tools,
workspace_instructions: config.workspace_instructions,
workspace_instructions_files: config.workspace_instructions_files,
rag_embedding_model: config.rag_embedding_model,
rag_reranker_model: config.rag_reranker_model,
rag_top_k: config.rag_top_k,
rag_chunk_size: config.rag_chunk_size,
rag_chunk_overlap: config.rag_chunk_overlap,
rag_template: config.rag_template,
rag_extractor_model: config.rag_extractor_model,
rag_extractor_prompt: config.rag_extractor_prompt,
rag_graph_hops: config.rag_graph_hops,
document_loaders: config.document_loaders,
highlight: config.highlight,
raw_markdown: config.raw_markdown,
theme: config.theme,
left_prompt: config.left_prompt,
right_prompt: config.right_prompt,
user_agent: config.user_agent,
save_shell_history: config.save_shell_history,
no_workspace_mcp: false,
sync_models_url: config.sync_models_url,
clients: config.clients,
@@ -274,7 +241,6 @@ impl AppConfig {
app_config.setup_document_loaders();
app_config.setup_user_agent();
app_config.resolve_model()?;
app_config.validate_reasoning_effort()?;
Ok(app_config)
}
@@ -295,31 +261,6 @@ impl AppConfig {
Ok(())
}
fn validate_reasoning_effort(&self) -> Result<()> {
let Some(ref effort) = self.reasoning_effort else {
return Ok(());
};
let model = Model::retrieve_model(self, &self.model_id, ModelType::Chat)?;
let levels = model.reasoning_levels();
if levels.is_empty() {
bail!(
"reasoning_effort '{}' is configured but the model does not support reasoning effort",
effort
);
}
if !levels.iter().any(|l| l == effort) {
bail!(
"reasoning_effort '{}' is not valid for the model. Supported levels: {}",
effort,
levels.join(", ")
);
}
Ok(())
}
pub fn resolve_model(&mut self) -> Result<()> {
if self.model_id.is_empty() {
let models = list_models(self, crate::client::ModelType::Chat);
@@ -338,7 +279,7 @@ impl AppConfig {
return path.clone();
}
if let Some(translated) = paths::translate_sandboxed_home_dir(path)
if let Some(translated) = paths::translate_sandboxed_home_path(path)
&& translated.exists()
{
info!(
@@ -358,18 +299,16 @@ impl AppConfig {
pub fn editor(&self) -> Result<String> {
super::EDITOR.get_or_init(move || {
if let Some(editor) = self.editor.clone()
let editor = self.editor.clone()
.or_else(|| env::var("VISUAL").ok().or_else(|| env::var("EDITOR").ok()))
&& which::which(&editor).is_ok()
{
return Some(editor);
}
let default = if cfg!(windows) {
"notepad".to_string()
} else {
"nano".to_string()
};
which::which(&default).ok().map(|_| default)
.unwrap_or_else(|| {
if cfg!(windows) {
"notepad".to_string()
} else {
"nano".to_string()
}
});
which::which(&editor).ok().map(|_| editor)
})
.clone()
.ok_or_else(|| anyhow!("Editor not found. Please add the `editor` configuration or set the $EDITOR or $VISUAL environment variable."))
@@ -389,7 +328,7 @@ impl AppConfig {
let theme = if self.highlight {
let theme_mode = if self.light_theme() { "light" } else { "dark" };
let theme_filename = format!("{theme_mode}.tmTheme");
let theme_path = paths::local_dir(&theme_filename);
let theme_path = paths::local_path(&theme_filename);
if theme_path.exists() {
let theme = ThemeSet::get_theme(&theme_path)
.with_context(|| format!("Invalid theme at '{}'", theme_path.display()))?;
@@ -414,26 +353,14 @@ impl AppConfig {
env::var("COLORTERM").as_ref().map(|v| v.as_str()),
Ok("truecolor")
);
Ok(RenderOptions::new(
theme,
wrap,
self.wrap_code,
self.raw_markdown,
truecolor,
))
Ok(RenderOptions::new(theme, wrap, self.wrap_code, truecolor))
}
pub fn print_markdown(&self, text: &str) -> Result<()> {
if *IS_STDOUT_TERMINAL {
let render_options = self.render_options()?;
let mut markdown_render = MarkdownRender::init(render_options)?;
let body = markdown_render.render(text);
let tail = markdown_render.finalize();
if tail.is_empty() {
println!("{body}");
} else {
println!("{body}\n{tail}");
}
println!("{}", markdown_render.render(text));
} else {
println!("{text}");
}
@@ -485,9 +412,6 @@ impl AppConfig {
if let Some(v) = super::read_env_value::<f64>(&get_env_name("top_p")) {
self.top_p = v;
}
if let Some(v) = super::read_env_value::<String>(&get_env_name("reasoning_effort")) {
self.reasoning_effort = v;
}
if let Some(Some(v)) = super::read_env_bool(&get_env_name("dry_run")) {
self.dry_run = v;
@@ -588,15 +512,6 @@ impl AppConfig {
if let Some(v) = super::read_env_value::<String>(&get_env_name("rag_template")) {
self.rag_template = v;
}
if let Some(v) = super::read_env_value::<String>(&get_env_name("rag_extractor_model")) {
self.rag_extractor_model = v;
}
if let Some(v) = super::read_env_value::<String>(&get_env_name("rag_extractor_prompt")) {
self.rag_extractor_prompt = v;
}
if let Some(v) = super::read_env_value::<usize>(&get_env_name("rag_graph_hops")) {
self.rag_graph_hops = v.unwrap_or(1);
}
if let Ok(v) = env::var(get_env_name("document_loaders"))
&& let Ok(v) = serde_json::from_str(&v)
@@ -610,9 +525,6 @@ impl AppConfig {
if *NO_COLOR {
self.highlight = false;
}
if let Some(Some(v)) = super::read_env_bool(&get_env_name("raw_markdown")) {
self.raw_markdown = v;
}
if self.highlight && self.theme.is_none() {
if let Some(v) = super::read_env_value::<String>(&get_env_name("theme")) {
self.theme = v;

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