* feat(agent): add GitHub Copilot CLI backend
Integrate Copilot CLI as a new agent backend using the stable
`-p` JSONL mode (`--output-format json`), following the same
spawn-CLI-scan-JSONL pattern established by claude.go.
Backend (server/pkg/agent/copilot.go):
- Spawn `copilot -p <prompt> --output-format json --allow-all-tools --no-ask-user`
- Parse streaming JSONL events (system/assistant/user/result/log)
- Extract session ID for resume support (`--resume <id>`)
- Accumulate per-model token usage for billing
- Filter blocked args to prevent protocol-critical flag overrides
Daemon config:
- Probe MULTICA_COPILOT_PATH / MULTICA_COPILOT_MODEL env vars
- Copilot uses AGENTS.md (native discovery) and default skills path
Frontend:
- Add Copilot logo SVG and provider switch case
Tests: 14 unit tests covering arg building, event parsing, usage
accumulation, and edge cases. All Go + TS checks pass.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* fix(daemon): add restart subcommand, make daemon uses it
- `daemon start` keeps original behavior: errors if already running
- `daemon restart` stops existing daemon then starts fresh
- `make daemon` now runs `daemon restart --profile local`
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* fix(copilot): address review nits 1-5
- Nit 1: Add MinVersions["copilot"] = "1.0.0"
- Nit 2: Seed activeModel from session.start.data.selectedModel (falls
back to opts.Model, then "copilot"). First-turn tokens now get correct
model attribution.
- Nit 3: Handle assistant.reasoning/reasoning_delta → MessageThinking,
reasoningText in assistant.message → MessageThinking,
session.warning → MessageLog{warn}
- Nit 4: Extract handleCopilotEvent() method shared by production and
tests — no more duplicated switch body that can drift
- Nit 5: Deltas write to output buffer as defense-in-depth; if process
dies before assistant.message, output is non-empty
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
---------
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* feat(agent): add Cursor Agent CLI runtime support
Add cursor-agent as a new agent backend, following the same pattern as
existing providers. The implementation spawns cursor-agent CLI with
stream-json output, parses JSONL events into the unified Message type,
and supports session resume, usage tracking, and auto-approval (--yolo).
Changes:
- server/pkg/agent/cursor.go: cursorBackend implementation
- server/pkg/agent/cursor_test.go: unit tests for args, parsing, errors
- server/pkg/agent/agent.go: register "cursor" in New() factory
- server/internal/daemon/config.go: probe cursor-agent in PATH
- server/internal/daemon/execenv/context.go: cursor skill discovery path
- server/internal/daemon/execenv/runtime_config.go: AGENTS.md injection
- packages/views/.../provider-logo.tsx: cursor logo in UI
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
* fix(agent): address PR review for cursor backend
1. Fix token usage double-counting: usage is now taken exclusively from
"result" events (session totals). Per-message usage in "assistant"
events is intentionally ignored. "step_finish" usage is only used as
fallback when no "result" usage is available.
2. Remove dead code: isCursorUnknownSessionError() and its regex were
defined but never called. Removed along with corresponding test.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
* fix(agent): add missing CustomArgs, SystemPrompt, MaxTurns, and debug logging to cursor backend
- Add cursorBlockedArgs and filterCustomArgs support for safe custom arg passthrough
- Add --system-prompt and --max-turns flag support to buildCursorArgs
- Add debug logging of command args before execution (consistent with all other backends)
- Move stdout-close goroutine inside main goroutine (consistent with claude.go pattern)
- Add tests for SystemPrompt/MaxTurns and CustomArgs filtering
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* chore: make daemon uses local profile & update Cursor logo to official brand
- Makefile: make daemon now runs 'daemon start --profile local' for local dev
- Replace Cursor runtime logo with official brand SVG (removed background rect)
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* fix(agent): remove unsupported --system-prompt and --max-turns from cursor-agent
cursor-agent CLI does not support these flags. Instructions are already
injected via AGENTS.md and .cursor/skills/ files.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* fix(agent): prevent step_finish + result usage double-counting in cursor
Split usage accumulation into separate stepUsage and resultUsage maps.
After stream ends, use resultUsage if available (session totals from
result event), otherwise fall back to stepUsage (sum of step_finish).
This prevents 2x counting when result.usage already includes totals.
Added table-driven test covering: result-only, step_finish-only,
step_finish+result (no double count), and multi-model scenarios.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* docs(agent): fix misleading comment on cursor -p flag
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
---------
Co-authored-by: Devv <devv@Devvs-Mac-mini.local>
Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Co-authored-by: yushen <ldnvnbl@gmail.com>
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* feat(agent): add Pi agent runtime support
Add Pi as a new agent runtime provider, following the established adapter
pattern. Pi CLI outputs JSONL events which are parsed for messages, tool
calls, and usage tracking.
Backend:
- New piBackend implementing the Backend interface (pi.go)
- Pi CLI discovery via MULTICA_PI_PATH env var or PATH lookup
- JSONL event stream parsing (agent_start, message_update, thinking_update,
tool_execution_start/end, agent_end)
- Usage scanner for ~/.pi/sessions/*.jsonl files
- Runtime config injection via AGENTS.md
- Skill injection to .pi/agent/skills/
Frontend:
- Pi provider logo (teal π icon)
- Pi label in transcript dialog
Docs:
- Updated all provider lists in README, CLI_INSTALL, and docs
* fix(agent): filter Pi usage scanner to agent_end events only
Address review feedback: restrict usage parsing to agent_end events
which contain cumulative totals, preventing potential inaccuracy if
Pi adds usage fields to other event types in the future.
* fix(agent): align Pi runtime with real CLI flags, event schema, and custom_args
- Flags: Pi's CLI uses `--mode json` (not `--output-format jsonl`), has no
`--yolo` (explicit `--tools` allowlist instead), takes the prompt as a
positional argument (not `-p <prompt>`), splits model as
`--provider <name> --model <id>`, and treats `--session` as a file path
that must exist before spawn.
- Event parsing: rewrite the stream event struct to match Pi's actual
JSON event schema (`message_update.assistantMessageEvent.delta`,
`turn_end.message.usage.{input,output,cacheRead,cacheWrite}`, etc.).
- Sessions: generate/persist session files under ~/.multica/pi-sessions/
and use the file path as the opaque SessionID returned to the daemon.
- Usage scanner: read assistant `message` events from the same session
files (Pi's session-file schema, distinct from the stdout stream).
- Custom args: consume `ExecOptions.CustomArgs` via `filterCustomArgs`
with a Pi-specific blocked set (`-p`, `--print`, `--mode`, `--session`)
so Pi matches the pattern shared by every other agent backend.
* feat(daemon): add opencode as supported agent provider
Add opencode backend alongside claude and codex. The backend spawns
`opencode run --format json`, parses streaming JSON events (text,
tool_use, error, step_start/finish), and supports --prompt for system
prompts. Includes CLI detection, AGENTS.md runtime config, native skill
discovery via .config/opencode/skills/, and 21 tests covering handlers,
JSON parsing, and integration-level processEvents scenarios.
* chore: add .tool-versions to gitignore
renderIssueContext() now includes a "Quick Start" section with the
`multica issue get` command so agents know how to fetch issue details.
Fixes the TestPrepareDirectoryMode and TestWriteContextFiles failures.
* feat(agents): reply as thread instead of top-level comment
When an agent responds to a user comment, the reply is now nested under
the triggering comment (parent_id) instead of appearing as a separate
top-level comment. Also enables on_comment trigger by default for newly
created agents.
- Add trigger_comment_id column to agent_task_queue (migration 028)
- Pass triggering comment ID through EnqueueTaskForIssue → task → createAgentComment
- Include parent_id in WebSocket broadcast for agent comments
- Default agent creation includes both on_assign and on_comment triggers
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
* feat(cli): add --parent flag to comment add for threaded replies
The agent posts comments via the CLI, so the correct fix is giving it a
--parent flag rather than wiring trigger_comment_id through the task
infrastructure. The agent reads the comment list, decides which comment
to reply to, and passes --parent <comment-id>.
- Add --parent flag to `multica issue comment add`
- Update agent runtime instructions to explain --parent usage
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
* feat(daemon): pass trigger_comment_id to agent execution context
The agent now knows which comment triggered its task and gets an explicit
instruction to reply to it using --parent. The trigger_comment_id flows
from the DB through the claim response, daemon Task struct, and into
issue_context.md where the agent sees it.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
* fix(comments): agent replies to thread root, matching frontend behavior
When the triggering comment is itself a reply (has parent_id), resolve
to the thread root so the agent's reply stays in the same flat thread.
This matches the frontend where all replies share the top-level parent.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
* feat(cli): show parent_id and full IDs in comment list
The table output now includes a PARENT column and shows full comment IDs
(not truncated) so agents can see thread structure and use --parent.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
* feat(daemon): instruct agents to always use --output json
Agents now see explicit guidance to use --output json for all read
commands, ensuring they get structured data with full IDs and parent_id
for proper threading.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
* feat(daemon): differentiate comment-trigger vs assign-trigger context
When triggered by a comment, the agent now gets clear instructions:
- Primary goal is to read and respond to the comment
- Do NOT change issue status just because you replied
- Only change status if explicitly requested
This prevents the agent from seeing "In Review" and stopping, since
it now understands the task is to reply, not to re-evaluate the issue.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
* fix(daemon): split workflow by trigger type in CLAUDE.md/AGENTS.md
The Workflow section in the agent's runtime config now shows a
comment-reply workflow when triggered by a comment (read comments,
find trigger, reply, don't change status) vs the full assignment
workflow (set in_progress, do work, set in_review).
Previously the agent always saw the assignment workflow, causing it
to check the issue status, see "In Review", and stop without reading
or replying to the triggering comment.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
* refactor(daemon): remove duplicate workflow from issue_context.md
Workflow instructions now live only in CLAUDE.md/AGENTS.md (runtime_config.go).
issue_context.md keeps just the task data: issue ID, trigger type, and
triggering comment ID.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
* fix(task): skip duplicate comment on completion for comment-triggered tasks
When triggered by a comment, the agent posts its own reply via CLI
with --parent. The task completion path was also creating a comment
from the agent's stdout output, resulting in duplicates. Now only
assignment-triggered tasks auto-post output as a comment. Error
messages from FailTask are still posted regardless of trigger type.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
---------
Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Write skills to provider-native paths so agents discover them
automatically instead of relying on manual path references in
CLAUDE.md/AGENTS.md.
- Claude: write to {workDir}/.claude/skills/ (native discovery)
- Codex: write to per-task CODEX_HOME/skills/ with auth/config
seeded from ~/.codex/ (symlink auth.json, copy config files)
- Fallback: keep .agent_context/skills/ for unknown providers
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Replace the frozen context snapshot pattern with a CLI-driven approach:
agents now use `multica` CLI commands to fetch issue details, comments,
and workspace context on demand, always getting the latest data.
- Remove buildContextSnapshot and snapshot generation from enqueue
- Claim endpoint now returns fresh agent name + skills from DB
- Daemon resolves provider from local runtimeIndex, not snapshot
- Prompt instructs agent to use `multica issue get` / `comment list`
- Meta skill (CLAUDE.md/AGENTS.md) documents all available CLI commands
- Skills still injected as filesystem files (static agent config)
- Simplify daemon types: remove TaskContext/IssueContext/RuntimeContext
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
These fields were unused in practice. Removed from frontend types,
issue detail UI, backend handlers, daemon prompt/context, protocol
messages, SQL queries, and tests. DB columns retained with defaults.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Replace agent.skills TEXT field with structured skill/skill_file/agent_skill
tables. Skills are workspace-level entities with supporting files, reusable
across agents via many-to-many bindings.
Backend: migration 008, sqlc queries, CRUD handler, agent-skill junction,
structured skill loading in task context snapshot.
Daemon: meta skill injection via runtime-native config (.claude/CLAUDE.md
for Claude, AGENTS.md for Codex) so agents discover .agent_context/ skills
through their native mechanism. Lean prompt without inlined skill content.
Frontend: Skills management page, agent Skills tab picker, SDK methods,
TypeScript types, workspace store integration.
Also removes auto-creation of init issues when creating agents.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Introduce the `execenv` package that creates isolated working directories
for each agent task. Supports git worktree mode (code tasks) and plain
directory mode (non-code tasks), with `.agent_context/issue_context.md`
injected into the workdir for Claude Code to discover.
Key changes:
- New `server/internal/daemon/execenv/` package (Prepare/Cleanup)
- `runTask()` now creates isolated env instead of using shared reposRoot
- Prompt updated to reference `.agent_context/` files
- Add `WorkspacesRoot` config (default ~/multica_workspaces)
- Add `KeepEnvAfterTask` config for debugging
- Default agent timeout increased from 20min to 2h
- `CompleteTask` now forwards branch name to server
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
