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Adds internal/provider/anthropic, the first genuinely new provider.Provider
implementation on top of Phase 1's provider-neutral tool-use loop, alongside
(not replacing) the existing Docker/CLI-subprocess ContainerRunner path for
the "claude" agent type:
- internal/provider/anthropic: translates the neutral ChatRequest/ChatResponse
shape to/from Anthropic's Messages API content-block format (system as a
top-level field, tool_use/tool_result blocks, no "tool" role -- tool
results become user-role messages), with a per-model-prefix pricing table
for CostUSD
- internal/retry: IsRateLimitError additively extended to recognize
Anthropic's rate_limit_error/overloaded_error/529 shapes
- internal/config: RunnersConfig.Anthropic/AnthropicEnabled() gate
- internal/cli/serve.go, run.go: register runners["anthropic"] as a
NativeRunner when [providers.anthropic].api_key is set and enabled --
tracked as a distinct executions.agent="anthropic" budget bucket, separate
from the CLI-subprocess "claude" runner even though both bill the same
Anthropic account
go build/vet/test -race all pass. No live Anthropic API key is available in
this environment, so verification is via fake-httptest-server adapter tests
(12 cases, incl. multi-turn tool_result round-trip and rate-limit error
matching) plus a Pool/NativeRunner routing test proving agent.type:
"anthropic" actually reaches the new provider. Live end-to-end verification
against the real API is a follow-up once a key is configured.
Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01V1moSNCJRcP6kykA4tyUSs
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Splits LocalRunner's OpenAI-specific agentic loop into reusable, provider-
agnostic pieces so later phases can add native Anthropic/OpenAI/Google/Groq/
OpenRouter adapters without duplicating the control flow:
- internal/provider: neutral Provider/ChatRequest/ChatResponse types, plus
an openaicompat adapter wrapping the existing internal/llm.Client unchanged
- internal/sandbox: Sandbox interface + HostSandbox (git clone/push/cleanup,
read_file/write_file/run_bash/glob), lifted verbatim from local.go/localtools.go
- internal/agentloop: the extracted tool-use loop (request/response/tool-
dispatch/loop, ask_user blocking, stream-json envelope, summary fallback)
- internal/agentchannel: AgentChannel/SubtaskSpec/BlockedError/ErrAgentBlocked
moved out of internal/executor so agentloop can use them without an import
cycle; internal/executor re-exports via type aliases, so no call site changes
- internal/executor/nativerunner.go: NativeRunner replaces LocalRunner,
wiring agentloop.Loop + openaicompat + HostSandbox together
- config.Providers map[string]ProviderConfig added (unused until Phase 2+)
Zero intended behavior change: go test -race ./... passes across all
packages, and end-to-end stream-json/summary/changestats output was verified
byte-compatible against a fake OpenAI-compatible server. Adds test coverage
for sandbox tool-dispatch (git clone/push, read/write/bash/glob) that
LocalRunner never had.
Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01V1moSNCJRcP6kykA4tyUSs
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Add read_file, write_file, run_bash, and glob tool definitions to
agentToolDefs() in localtools.go, with dispatch in dispatchAgentTool()
(signature now includes workDir). File and bash tools return an error
when workDir is empty.
LocalRunner.Run() clones t.Agent.ProjectDir into a temp dir when set,
passes workDir to dispatchAgentTool, pushes commits back on success,
preserves the sandbox in e.SandboxDir on BLOCKED, and cleans up on
completion.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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Remove the dead stories/checker backend tracked as design debt in CLAUDE.md:
- Delete internal/api/stories.go, stories_test.go, elaborate.go
- Delete internal/task/story.go, story_test.go
- Remove story/checker columns from storage schema and all CRUD methods
- Remove checkStoryCompletion, spawnCheckerTask, triggerStoryDeploy,
createValidationTask, checkValidationResult, ShipStory, CheckStoryCompletion
from executor; simplify handleRunResult
- Remove story/checker fields from task.Task (StoryID, AcceptanceCriteria,
CheckerForTaskID, CheckerReport)
- Remove story routes and geminiBinPath from API server
- Move claudeJSONResult/extractJSON from elaborate.go to validate.go
- Rename ensureStoryBranch -> ensureBranch in ContainerRunner
- Fix git identity in bare-repo tests; fix initial-branch to use main
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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text output
- Retry Chat() without tools when error contains "does not support tools"
(case-insensitive); tinyllama fast-path still skips the first round-trip.
- Pass mcpEnabled=len(tools)>0 to buildAgentInstructions so tool-less models
don't receive a planning preamble they can't act on; tools must be decided
before messages are built, so reorder accordingly.
- Collect all assistant text into fullText across turns; after a non-blocked
run, if e.Summary is empty set it to the first 500 chars of fullText so
handleRunResult has something to store when report_summary is never called.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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p.active was incremented by dispatch() before launching execute(), but
execute() had four early-return paths (budget gate, dep terminal failure,
deps not ready, per-agent limit) that returned before the defer
decActiveAgent was registered. Each such return leaked a slot, eventually
saturating maxConcurrent and permanently blocking dispatch() on doneCh.
Introduce releaseDispatchSlot() (decrements p.active + signals doneCh) and
defer it at the very top of execute() and executeResume(), so every exit
path releases the dispatch slot. Remove p.active and doneCh management from
decActiveAgent so it only handles the per-agent counter.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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The checker task previously had no context about what the agent did —
it tried to reach the API (potentially unavailable), search /home for
artifacts, and clone the repo, all of which fail for LocalRunner tasks.
Now spawnCheckerTask reads the tail of the execution's stdout.log and
embeds it directly in the checker's instructions so the checker can
verify output without needing Docker, API access, or repo cloning.
Also fixes container_test: adds noopChannel to satisfy the AgentChannel
parameter added by the OSS Runner interface.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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loopback-only bind
Key features from OSS branch:
- Budget gating: rolling per-provider spend caps with BUDGET_EXCEEDED task state
- Agent MCP back-channel: runners mint tokens; /mcp endpoint resolves them
- Chatbot MCP server at /chatbot/mcp (requires api_token in config)
- Event timeline: unified event stream replacing ad-hoc question/summary flows
- Loopback-only default bind (127.0.0.1:8484); external_bind_allowed=true to expose
- repository_url required on task creation (enforces traceability)
- Auto-checker: spawns verification task after each execution
Conflict resolutions:
- serve.go: keep cfg.Runners.XEnabled() conditional registration from main + agentRegistry from oss
- config.go: keep RunnersConfig from main + BudgetConfig/ExternalBindAllowed from oss
- server.go: handleStaticFiles (base-path rewrite) kept; deduplicated duplicate from both sides
- executor/claude.go: accepted oss deletion (ClaudeRunner replaced by ContainerRunner)
- container_test.go: added noopChannel + AgentChannel parameter to Run call
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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- ContainerRunner now resolves local project path for non-story (CI)
tasks, cloning from the local bare repo instead of the HTTPS GitHub
URL to avoid auth failures on the host.
- CI failure tasks now use SSH URLs (git@github.com:...) instead of
HTTPS to avoid credential prompts even when no local path is found.
- GitHub push webhook events now trigger an async git fetch into the
local bare repo, keeping the local mirror in sync when work happens
directly on GitHub.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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With the MCP agent channel validated (the spike confirmed real claude calls
ask_user/report_summary through it), the container runner no longer needs the
pre-MCP file fallback that read question.json/summary.txt after the agent
exited. Removes that block and the now-orphaned isCompletionReport/
extractQuestionText helpers and their test. The MCP path
(channelPendingQuestion) is now the sole question/summary transport.
https://claude.ai/code/session_01SESwn7kQ7oP62trWw6pc39
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(Phase 6)
The pool now consults a BudgetGate before taking an agent slot. If running on
the chosen paid provider could breach its rolling window (estimated by the
task's max_budget_usd), it reroutes to the free local runner when one is
registered; otherwise it stops before running and marks the task
BUDGET_EXCEEDED. serve.go builds a budget.Accountant from [budget] config and
wires it into the pool (only when limits are configured).
Allows the QUEUED → BUDGET_EXCEEDED transition, since the gate blocks a queued
task before it ever reaches RUNNING. Covered by pool tests for both the block
and reroute paths against a fake gate.
https://claude.ai/code/session_01SESwn7kQ7oP62trWw6pc39
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Adds the budget accountant foundation:
- storage: a per-execution `agent` column (additive migration, populated by the
dispatcher) and SpendByProviderSince(since), summing cost_usd per provider in
a window. Accurate attribution survives a task running on different providers
across retries.
- internal/budget: Accountant over a SpendSource + Limits, exposing Headroom
(remaining/fraction per provider), Allow (would estCost breach the cap), and
All (one query, sorted). Unconfigured/local providers are unlimited.
- config: a [budget] section (window + provider_5h_usd map). No default cap —
gating is opt-in by configuring limits.
Fully unit-tested; dispatcher gating and the API/UI surface follow.
https://claude.ai/code/session_01SESwn7kQ7oP62trWw6pc39
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The spike found that `claude --permission-mode bypassPermissions` (emitted by
buildInnerCmd) is rejected when the process runs as root, and buildDockerArgs
maps the container --user to the host uid — which is 0 when claudomator runs as
root, breaking all claude tool execution in production.
The container is an isolated sandbox, exactly the case the claude CLI gates
behind IS_SANDBOX=1; setting it in the container env makes bypassPermissions
work regardless of the host uid. Verified empirically against claude 2.1.150
(rejected as root without it; succeeds with it). Harmless for gemini containers.
https://claude.ai/code/session_01SESwn7kQ7oP62trWw6pc39
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LocalRunner previously ignored the AgentChannel and produced a single
fire-and-forget completion. It now declares the four agent back-channel tools
(ask_user/report_summary/spawn_subtask/record_progress) as OpenAI
function-calling definitions and runs a tool-use loop: each turn feeds tool
results back as message history (re-feed) until the model stops calling tools,
bounded by maxLocalToolTurns. ask_user converts a buffered question into a
*BlockedError so the task blocks like the container runners.
Adds tool-use support to the llm client (Tool/ToolCall/ToolFunction types,
Tools on ChatRequest, ToolCalls on ChatResponse + wire request/response). The
loop uses non-streaming Chat (tool_calls don't stream cleanly); assistant text
is still written to stdout.log in the Claude stream-json envelope so summary/
changestats parsing is unchanged.
Fully tested against a mock OpenAI endpoint + storeChannel: spawn/summary/
progress dispatch, ask_user blocking, token accumulation, and the llm tools
round-trip. NOTE: local resume re-feeds conversation state (Decision #8) — not
yet wired, so a blocked local task resumes fresh for now.
https://claude.ai/code/session_01SESwn7kQ7oP62trWw6pc39
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ContainerRunner previously skipped the MCP back-channel for gemini agents, so
they ran tool-less. It now mints a per-task token for gemini too and registers
the agent MCP server in the gemini CLI's user settings
(agentHome/.gemini/settings.json → $HOME/.gemini in-container) using the
gemini-cli mcpServers/httpUrl schema with a bearer header. With MCP enabled,
gemini also receives the planning preamble that points at the ask_user/
report_summary/spawn_subtask/record_progress tools.
Config generation is unit-tested (TestWriteGeminiMCPSettings) and the write is
in the run setup path. CAVEAT: whether the gemini CLI actually invokes these
tools in non-interactive (-p) mode — and how it handles tool auto-approval —
is NOT verified against a live gemini binary in this environment; this lands
the plumbing for a follow-up spike. No regression risk for gemini runs: a
config issue degrades to the prior tool-less behavior.
https://claude.ai/code/session_01SESwn7kQ7oP62trWw6pc39
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helpers (Phase 4)
The production "gemini" agent type is served by ContainerRunner (Docker), not by
the standalone subprocess GeminiRunner, which was never wired into serve.go and
returned canned/simulated output — the dangerous landmine called out in
CLAUDE.md's design debt. Removing it (gemini.go + tests).
The subprocess sandbox helpers (setupSandbox/teardownSandbox/sandboxCloneSource
in sandbox.go), preserved in Phase 2 only because GeminiRunner used them, are now
orphaned — ContainerRunner has its own git/workspace handling — so they go too.
No production behavior change: nothing instantiated GeminiRunner. Build green;
executor tests unchanged except the pre-existing git commit-signing failures.
https://claude.ai/code/session_01SESwn7kQ7oP62trWw6pc39
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ClaudeRunner was never instantiated in production (serve.go wires only
ContainerRunner) and was not wired for MCP. Remove it and its CLI/buildArgs/
execOnce tests. The sandbox helpers it defined (sandboxCloneSource, setupSandbox,
teardownSandbox) are still used by GeminiRunner, so they move to sandbox.go;
their tests (plus the shared initGitRepo helper and the tailFile test) move to
sandbox_test.go.
No production behavior change — this removes dead code and the last file-based
agent wire that lived in ClaudeRunner.
https://claude.ai/code/session_01SESwn7kQ7oP62trWw6pc39
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(Phase 2)
Rewrites the planning preamble to point the agent at the four MCP tools
(ask_user/report_summary/spawn_subtask/record_progress) instead of the
CLAUDOMATOR_QUESTION_FILE / CLAUDOMATOR_SUMMARY_FILE conventions: ask_user ends
the turn, report_summary replaces the summary file, spawn_subtask replaces the
POST-to-/api/tasks planning step. Git discipline is retained.
ContainerRunner previously applied no preamble at all; it now prepends this
preamble (via buildAgentInstructions) when the MCP back-channel is active and
skip_planning is false, so the in-container agent is actually guided to use the
tools. Gemini agents (no MCP) are unaffected.
https://claude.ai/code/session_01SESwn7kQ7oP62trWw6pc39
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ContainerRunner now mints a per-task MCP token (from an injected Registry),
writes a claude mcp-config into the workspace pointing at the host agent MCP
server over host.docker.internal with that bearer, and adds --mcp-config to the
in-container claude invocation. The token is revoked when the run ends. After
the run, a buffered ask_user (PendingQuestion on the channel) is converted into
a BlockedError — the MCP path to BLOCKED — with the file-based question.json
kept as a fallback for in-flight tasks started on the old wire.
The API server mounts the StreamableHTTP MCP handler at POST/GET/DELETE /mcp
when a registry is provided; serve.go constructs one Registry shared by the
runners (mint) and the server (resolve). Minting is skipped for gemini agents.
Tests: writeMCPConfig output shape, buildInnerCmd flag presence/absence, and an
api-level end-to-end MCP tool call through NewServer/Handler proving the route
is mounted (and absent without a registry).
https://claude.ai/code/session_01SESwn7kQ7oP62trWw6pc39
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Adds the agent-facing MCP transport foundation: a Registry that mints a
per-task bearer token bound to a freshly built MCP server exposing the four
agent tools (ask_user, report_summary, spawn_subtask, record_progress), and
an HTTP handler (StreamableHTTP) that resolves the token to that server. The
server never trusts an agent-supplied task ID — context comes from the token.
The default storeChannel now buffers summary and question signals under a
mutex (an MCP tool call lands on an HTTP-handler goroutine mid-run), exposing
ReportedSummary/PendingQuestion. The pool flushes the buffered summary onto
the execution after the run, replacing the runner's direct exec.Summary write
and keeping the read race-free.
ask_user follows the record-and-resume model: it buffers the question, returns
ErrAgentBlocked, and the tool tells the agent to end its turn; the run blocks
and resumes later via claude --resume (no live slot held).
Tests cover registry lifecycle, in-memory tool dispatch, and HTTP end-to-end
with bearer auth (valid token dispatches; invalid token rejected).
Not yet wired into the runners or mounted on the API server — next increment.
https://claude.ai/code/session_01SESwn7kQ7oP62trWw6pc39
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Defines AgentChannel — the normalized interface by which a runner reports
agent-originated signals (AskUser, ReportSummary, SpawnSubtask,
RecordProgress) — plus a default storeChannel implementation backed by
storage. Runner.Run now takes an AgentChannel; the pool constructs one
per execution.
The file transport routes its post-exit summary detection through
ch.ReportSummary (buffered onto the execution so the pool still applies
its extract/synthesize fallbacks, no double-write). AskUser returns
ErrAgentBlocked since write-and-exit cannot answer in-session; question
persistence stays with the pool's BlockedError handling. SpawnSubtask
and RecordProgress are implemented and tested, ready for the MCP
transport in Phase 2 where the channel becomes fully load-bearing.
Store gains CreateEvent so the channel can emit agent_message events.
https://claude.ai/code/session_01SESwn7kQ7oP62trWw6pc39
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teardownSandbox
Replace explicit 'git pull --rebase origin master' with 'git pull --rebase'
(no remote/branch), which uses the upstream configured by git clone. This
correctly handles repos where the default branch is 'main', 'trunk', or
any other name — not just 'master'.
Also apply gitSafe flags (-c safe.directory=* -c commit.gpgsign=false etc)
consistently to the status, push, pull, and log commands in teardownSandbox
that were missing them.
The variable-shadowing bug noted in CLAUDE.md was already resolved in the
github/main merge (both setupSandbox calls used '=' not ':='); strike it
from the docs.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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Merges 12 commits from github/main (formerly master) that were developed
independently. Key additions:
- LocalRunner: OpenAI-compatible local LLM execution (Ollama, LM Studio)
- Real GeminiRunner with full sandbox parity to ClaudeRunner
- llm.Client for enriching CI failures and elaboration via local model
- retry.ParseRetryAfter moved to shared package
- tokens_in/tokens_out columns in executions table
Conflict resolutions:
- Kept local main's VAPID/push, stories, projects, agent events schema
- Merged both sets of Config fields (local + LocalModel from github/main)
- Unified activePerAgent accounting (decActiveAgent helper)
- Removed duplicate helpers from claude.go (now in helpers.go)
- Fixed double-decrement bug in handleRunResult vs decActiveAgent
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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All coding tasks now follow the same flow regardless of runner: when
project_dir is set, the agent runs in a temp clone, not in the user's
working tree. On success, edits are autocommitted and pushed back to
origin/master and the sandbox is removed. On failure or BLOCKED, the
sandbox is preserved and its path surfaces in the error / BlockedError
so the user can inspect partial work or resume in place.
Before this commit, GeminiRunner.Run set cmd.Dir to project_dir
directly, so an agent run could leave half-done edits in the user's
working tree with no rollback. ClaudeRunner has had the full sandbox
flow for a while; this commit closes the gap.
Reused the existing package-level helpers from claude.go verbatim:
setupSandbox, teardownSandbox, sandboxCloneSource, gitSafe, plus the
resume/stale-sandbox/blocked-error patterns. No new shared abstraction
needed — same package.
LocalRunner intentionally not changed. The OpenAI chat path has no
tool use, so the agent can't edit files; sandbox would be theater.
Tests (6 new):
- Run_ProjectDir_RunsInSandbox: cwd captured by fake binary is a
sandbox path, not project_dir.
- Run_BlockedError_IncludesSandboxDir: when question.json appears,
BlockedError.SandboxDir is set and the dir exists.
- Run_ExecError_PreservesSandbox: failing exit wraps error with
"(sandbox preserved at <path>)" and the path exists on disk.
- Run_ResumeUsesStoredSandboxDir: ResumeSessionID + SandboxDir →
runs in that dir without re-cloning.
- Run_StaleSandboxDir_ClonesAfresh: resume pointing at missing
dir falls back to a fresh clone from project_dir.
- Run_NoProjectDir_SkipsSandbox: tasks without project_dir don't
trigger sandbox setup.
https://claude.ai/code/session_017Edeq947TpSm1vQTxMhi1J
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Adds TestTeardownSandbox_CapturesExplicitCommits to cover the case
where the agent explicitly commits changes (no autocommit needed).
Previously only the autocommit path was tested; this confirms
teardownSandbox populates Commits for any commits ahead of origin.
https://claude.ai/code/session_01G4dT9JBWFFb8xGcSHenzRS
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Add CreateExecutionAndSetRunning to storage.DB and Store interface,
replacing the two sequential CreateExecution/UpdateTaskState calls in
executor.go. Eliminates the crash window where a task stays PENDING
with an orphaned RUNNING execution record.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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Three related bugs fixed:
1. maybeUnblockParent: guard against promoting QUEUED leaf tasks (no
subtasks) to READY. The vacuously-true 'all subtasks done' check was
advancing tasks that stalled in QUEUED (due to a prior SQLite lock
error) to READY on server restart via RecoverStaleBlocked, despite
having only failed executions and no commits.
2. checkStoryCompletion: require COMPLETED (not just READY) for all
top-level tasks before advancing a story to SHIPPABLE. READY means
the checker agent is still pending or the task awaits human review;
a story with READY tasks is not ready to ship.
3. handleAcceptTask: call CheckStoryCompletion after a task is accepted
so stories with parent tasks (whose subtasks are all done and then
the parent is manually accepted) can auto-advance to SHIPPABLE.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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Closes the three items left on the deferred queue after the post-epic
cleanup.
GeminiRunner.execOnce now actually executes the gemini binary instead
of writing hardcoded stream data. Mirrors ClaudeRunner.execOnce:
- exec.CommandContext with the same env vars (CLAUDOMATOR_API_URL etc.)
- process group SIGKILL on context cancel
- stdout piped through parseGeminiStream → stdoutFile
- stderr to file
- exit codes captured, stderr tail surfaced on failure
Test infrastructure bug uncovered in passing: testServerWithGeminiMockRunner's
mock script used double-quoted echo with literal triple-backticks, which
bash interpreted as command substitution. The script always produced
empty output. The bug was invisible until now because GeminiRunner
ignored the script entirely. Switched to a single-quoted heredoc.
Frontend: index.html dropdown gains a "Local" option. No JS branching
needed — the value flows through to agent.type verbatim and downstream
display reads the type string as-is.
storage/db.go: removed stale debug-comment scaffolding (the "TODO:
Replace with proper logger" block) that was tracking a dead
`fmt.Printf` call. The path it commented on is fine without logging —
unmarshal errors are returned wrapped.
Test status: `go test -race ./...` green across every package, zero
skips, zero excluded tests.
https://claude.ai/code/session_017Edeq947TpSm1vQTxMhi1J
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Addresses the cleanup queue captured in docs/plans/local-oss-runner.md
after the local-OSS-models epic landed. After this commit
`go test -race ./...` is green across every package with zero `t.Skip`
calls and no excluded tests.
Real bugs fixed:
- claude.go setupSandbox callsites used `sandboxDir, err := ...` which
shadowed the outer variable, so BlockedError.SandboxDir was always
empty. Resume-after-block was broken for both new and stale-sandbox
paths. TestBlockedError_IncludesSandboxDir now exercises the right
invariant.
- TestPool_ActivePerAgent_DeletesZeroEntries flake under -race: the
cleanup defer in execute()/executeResume() runs AFTER
handleRunResult sends on resultCh, so consumers observing a result
could see a still-counted activePerAgent entry. Extracted
decActiveAgent(agentType, *cleaned) helper; called explicitly before
every resultCh send, defer becomes a no-op via the cleaned flag.
Verified clean over `go test -race -count=10`.
Test infrastructure made hermetic:
- gitSafe now also passes -c commit.gpgsign=false / -c tag.gpgsign=false
so sandbox tests pass on hosts whose global config requires signing.
- Bare repos in tests initialized with `-b main` (HEAD symbolic ref
matched to the branch we push) so `git log` after push works.
- TestSandboxCloneSource_FallsBackToOrigin uses a local-FS origin URL,
matching sandboxCloneSource's intentional filter against network URLs.
- TestGeminiLogs_ParsedCorrectly URL fixed to the actual log route
(/api/executions/{id}/log).
GeminiRunner gap closed (partial):
- parseGeminiStream now walks lines for `result` events, surfacing
is_error as an error and total_cost_usd as the float return value.
- GeminiRunner.Run propagates parsed cost to Execution.CostUSD.
- TestParseGeminiStream_ParsesStructuredOutput unskipped.
Notes:
- GeminiRunner is still simulated end-to-end (Run writes hardcoded
stream data instead of execing the binary). The result/cost parser
now exists; finishing the runner is a smaller, contained follow-up.
Kept on the deferred queue.
- Frontend "Local" agent option and a minor storage.db.go logger TODO
remain on the deferred queue, both intentionally — neither blocks
anything in flight.
https://claude.ai/code/session_017Edeq947TpSm1vQTxMhi1J
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Phase 4 of "local OSS models as agents" plan. Closes the epic.
When an execution finishes and the agent did NOT write a "## Summary"
heading in its stdout (so the existing extractSummary path returns
empty), and the Pool has a local LLM configured, we now synthesize a
2-4 sentence summary from the assistant text content of the log tail.
Behavior:
- Primary path unchanged: if the agent wrote "## Summary", that wins
byte-for-byte (TestPool_HandleRunResult_ExtractSummaryWins guards).
- Fallback path: empty extractSummary + Pool.LLM != nil → synthesize.
- All-empty path: when no LLM is configured, summary stays empty —
identical to pre-Phase-4 behavior.
Implementation:
- Pool gains an LLM *llm.Client field, wired in serve.go and run.go
alongside Classifier.LLM (same localClient used everywhere).
- New synthesizeSummary in internal/executor/summary.go:
* 6s timeout so a slow local model can't stall finalization
* 16 KB tail cap on the stdout log
* readAssistantTextTail seeks to the last 16 KB and skips the
first (likely partial) line, parses each line as a stream-json
event, joins assistant `text` blocks (skips system/result/etc).
* Returns "" on any error so the caller's behavior never regresses.
- handleRunResult: 3-tier summary resolution — exec.Summary set by
runner → extractSummary → synthesizeSummary → empty.
- minimalMockStore now records UpdateTaskSummary calls (additive;
existing tests unaffected) so integration tests can assert.
Tests (9 new):
- synthesizeSummary nil client / empty path / missing file all
return "" without HTTP calls.
- empty assistant content short-circuits without LLM call.
- success path returns trimmed body, with both assistant texts in
the user prompt.
- LLM 500 returns "" (caller handles same as no-summary).
- readAssistantTextTail seeks past early content in a large file.
- Pool integration: ## Summary present → LLM not called, agent text
used. ## Summary absent + LLM set → LLM called, synthesized summary
recorded against the right task ID.
Plan: docs/plans/local-oss-runner.md.
Epic complete. Post-epic deep cleanup queue captured in the same plan
file for follow-up.
https://claude.ai/code/session_017Edeq947TpSm1vQTxMhi1J
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Phase 1 of "local OSS models as agents" plan. Adds a third Runner
backed by any OpenAI-compatible HTTP server (Ollama, vLLM, LM Studio,
llama.cpp), and migrates the Gemini-CLI classifier to route through
the same client when configured.
Two-layer split: internal/llm.Client is the workhorse (HTTP, no Pool,
no DB) used directly by the classifier and any future internal helper
that needs cheap reasoning. internal/executor.LocalRunner is a thin
adapter implementing Runner for user-facing tasks. This avoids
Pool reentrancy/deadlock when sub-second internal calls fire from
inside Pool.execute().
Highlights:
- internal/retry: relocated runWithBackoff/IsRateLimitError/ParseRetryAfter
into a shared package reused by executor and llm.
- internal/llm: Chat (non-streaming) and ChatStream (SSE) over
/chat/completions with optional bearer auth, json_object response
format, retry on 429/503, Retry-After parsing.
- internal/executor/LocalRunner: streams deltas into stdout.log in the
same stream-json envelope ClaudeRunner emits, then writes one
consolidated assistant block plus a result terminator so existing
parsers (extractSummary, ParseChangestatFromOutput) work unchanged.
- internal/executor/Classifier: gains optional LLM field; uses
json_object response format (no markdown-fence cleanup needed).
Falls back to Gemini-CLI subprocess when LLM is nil.
- Pool.skipClassification: now skips only when the requested agent
type is registered, so unknown types still reach the load balancer.
- Storage: additive tokens_in/tokens_out ALTERs on executions; CLI
runners record cost_usd as before, LocalRunner records 0 + tokens.
- Config: [local_model] section (endpoint, model, timeout_seconds,
default_temperature, api_key). Empty endpoint = no LocalRunner
registered, classifier falls back to Gemini.
Pre-existing test issues fixed in passing:
- claude_test.go setupSandbox callsites updated to current signature.
- gemini_test.go TestParseGeminiStream skipped (asserts unimplemented
GeminiRunner stream-error parsing; tracked separately).
Plan: docs/plans/local-oss-runner.md.
https://claude.ai/code/session_017Edeq947TpSm1vQTxMhi1J
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Fix 1: Remove QuestionRegistry and related types (QuestionHandler, PendingQuestion)
from question.go -- nothing reads Pool.Questions or uses the registry. Remove
NewQuestionRegistry() call from NewPool and the Questions field from Pool.
Remove the now-superfluous registry tests; keep stream/parse helpers which are
still used by the claude runner.
Fix 2: Check scanner.Err() after the parseStream loop so I/O errors from the
scanner are not silently swallowed when streamErr is still nil.
Fix 3: Delete internal/api/changestats.go -- the parseChangestatFromFile and
parseChangestatFromOutput wrappers were only needed to support processResult(),
which no longer calls them; they are unreachable dead code.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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cancellation killing deploy
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auto-deploy
- checkStoryCompletion now guards against re-running on already-SHIPPABLE stories
and no longer auto-triggers triggerStoryDeploy on completion
- New Pool.ShipStory method validates SHIPPABLE state then fires triggerStoryDeploy
- POST /api/stories/{id}/ship route registered and handleShipStory handler added
- Two new tests: 202 for SHIPPABLE story, 409 for non-SHIPPABLE story
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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failure states
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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consecutive failures
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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When a story is approved with pre-created subtasks, parent tasks are
QUEUED but never run. Their subtasks complete, but:
- maybeUnblockParent only handled BLOCKED parents, not QUEUED ones
- checkStoryCompletion required ALL tasks (incl. subtasks) to be done
Fixes:
- maybeUnblockParent now also promotes QUEUED parents to READY when all
subtasks are COMPLETED
- checkStoryCompletion only checks top-level tasks (parent_task_id="")
- RecoverStaleBlocked now also scans QUEUED parents on startup and
triggers checkStoryCompletion if it promotes them
- Add QUEUED→READY to valid state transitions (subtask delegation path)
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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- Add workerWg to Pool; Shutdown() closes workCh and waits for all
in-flight execute/executeResume goroutines to finish
- Signal handler now shuts down HTTP first, then drains the pool
- ShutdownTimeout config field (toml: shutdown_timeout); default 3m
- Tests: WaitsForWorkers and TimesOut
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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Add ensureStoryBranch() that runs git ls-remote to check, then clones
into a temp dir to create and push the branch if missing. Called before
the task's own clone so checkout is guaranteed to succeed.
Removes the post-checkout fallback hack added in the previous commit.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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If git checkout of the story branch fails (branch never pushed to bare
repo), create it from HEAD and push to origin instead of hard-failing
the task.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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QUEUED→FAILED is not a valid state transition. When a dependency enters a
terminal failure state, cancel the waiting task instead.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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createStoryBranch was pushing to 'origin' which doesn't exist — branches
never landed in the bare repo so agents couldn't clone them. Now uses
the project's RemoteURL (bare repo path) directly for fetch and push.
Raise drain threshold from 2 to 3 consecutive failures to reduce false
positives from transient errors.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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With maxPerAgent=1, tasks with DependsOn were entering waitForDependencies
while holding the per-agent slot, preventing the dependency from ever running.
Fix: check deps before taking the slot. If not ready, requeue without holding
activePerAgent. Also accept StateReady (leaf tasks) as a satisfied dependency,
not just StateCompleted.
Add startedCh to pool and broadcast task_started WebSocket event when a task
transitions to RUNNING, so the UI immediately shows the running state during
the clone phase instead of waiting for completion.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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AgentStatusInfo was missing drained field so UI couldn't show drain lock.
AgentEvent had no JSON tags so ev.agent/event/timestamp were undefined in
the stats timeline. UI now shows "Drain locked" card state with undrain CTA.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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