[claude] Build agent dispatcher — route tasks to Claude Code, Kimi, APIs (#1072) (#1123)
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"""Agent dispatcher — route tasks to Claude Code, Kimi, APIs, or Timmy itself.
Timmy's dispatch system: knows what agents are available, what they're good
at, and how to send them work. Uses Gitea labels and issue comments to assign
tasks and track completion.
Dispatch flow:
1. Match task type to agent strengths
2. Check agent availability (idle or working?)
3. Dispatch task with full context (issue link, requirements, criteria)
4. Log assignment as a Gitea comment
5. Monitor for completion or timeout
6. Review output quality
7. If output fails QA → reassign or escalate
Agent interfaces:
- Claude Code → ``claude-ready`` Gitea label + issue comment
- Kimi Code → ``kimi-ready`` Gitea label + issue comment
- Agent APIs → HTTP POST to external endpoint
- Timmy (self) → direct local invocation
Usage::
from timmy.dispatcher import dispatch_task, TaskType, AgentType
result = await dispatch_task(
issue_number=1072,
task_type=TaskType.ARCHITECTURE,
title="Design the LLM router",
description="We need a cascade router...",
acceptance_criteria=["Failover works", "Metrics exposed"],
)
"""
from __future__ import annotations
import asyncio
import logging
from dataclasses import dataclass, field
from enum import Enum
from typing import Any
from config import settings
logger = logging.getLogger(__name__)
# ---------------------------------------------------------------------------
# Enumerations
# ---------------------------------------------------------------------------
class AgentType(str, Enum):
"""Known agents in the swarm."""
CLAUDE_CODE = "claude_code"
KIMI_CODE = "kimi_code"
AGENT_API = "agent_api"
TIMMY = "timmy"
class TaskType(str, Enum):
"""Categories of engineering work."""
# Claude Code strengths
ARCHITECTURE = "architecture"
REFACTORING = "refactoring"
COMPLEX_REASONING = "complex_reasoning"
CODE_REVIEW = "code_review"
# Kimi Code strengths
PARALLEL_IMPLEMENTATION = "parallel_implementation"
ROUTINE_CODING = "routine_coding"
FAST_ITERATION = "fast_iteration"
# Agent API strengths
RESEARCH = "research"
ANALYSIS = "analysis"
SPECIALIZED = "specialized"
# Timmy strengths
TRIAGE = "triage"
PLANNING = "planning"
CREATIVE = "creative"
ORCHESTRATION = "orchestration"
class DispatchStatus(str, Enum):
"""Lifecycle state of a dispatched task."""
PENDING = "pending"
ASSIGNED = "assigned"
IN_PROGRESS = "in_progress"
COMPLETED = "completed"
FAILED = "failed"
ESCALATED = "escalated"
TIMED_OUT = "timed_out"
# ---------------------------------------------------------------------------
# Agent registry
# ---------------------------------------------------------------------------
@dataclass
class AgentSpec:
"""Capabilities and limits for a single agent."""
name: AgentType
display_name: str
strengths: frozenset[TaskType]
gitea_label: str | None # label to apply when dispatching
max_concurrent: int = 1
interface: str = "gitea" # "gitea" | "api" | "local"
api_endpoint: str | None = None # for interface="api"
#: Authoritative agent registry — all known agents and their capabilities.
AGENT_REGISTRY: dict[AgentType, AgentSpec] = {
AgentType.CLAUDE_CODE: AgentSpec(
name=AgentType.CLAUDE_CODE,
display_name="Claude Code",
strengths=frozenset(
{
TaskType.ARCHITECTURE,
TaskType.REFACTORING,
TaskType.COMPLEX_REASONING,
TaskType.CODE_REVIEW,
}
),
gitea_label="claude-ready",
max_concurrent=1,
interface="gitea",
),
AgentType.KIMI_CODE: AgentSpec(
name=AgentType.KIMI_CODE,
display_name="Kimi Code",
strengths=frozenset(
{
TaskType.PARALLEL_IMPLEMENTATION,
TaskType.ROUTINE_CODING,
TaskType.FAST_ITERATION,
}
),
gitea_label="kimi-ready",
max_concurrent=1,
interface="gitea",
),
AgentType.AGENT_API: AgentSpec(
name=AgentType.AGENT_API,
display_name="Agent API",
strengths=frozenset(
{
TaskType.RESEARCH,
TaskType.ANALYSIS,
TaskType.SPECIALIZED,
}
),
gitea_label=None,
max_concurrent=5,
interface="api",
),
AgentType.TIMMY: AgentSpec(
name=AgentType.TIMMY,
display_name="Timmy",
strengths=frozenset(
{
TaskType.TRIAGE,
TaskType.PLANNING,
TaskType.CREATIVE,
TaskType.ORCHESTRATION,
}
),
gitea_label=None,
max_concurrent=1,
interface="local",
),
}
#: Map from task type to preferred agent (primary routing table).
_TASK_ROUTING: dict[TaskType, AgentType] = {
TaskType.ARCHITECTURE: AgentType.CLAUDE_CODE,
TaskType.REFACTORING: AgentType.CLAUDE_CODE,
TaskType.COMPLEX_REASONING: AgentType.CLAUDE_CODE,
TaskType.CODE_REVIEW: AgentType.CLAUDE_CODE,
TaskType.PARALLEL_IMPLEMENTATION: AgentType.KIMI_CODE,
TaskType.ROUTINE_CODING: AgentType.KIMI_CODE,
TaskType.FAST_ITERATION: AgentType.KIMI_CODE,
TaskType.RESEARCH: AgentType.AGENT_API,
TaskType.ANALYSIS: AgentType.AGENT_API,
TaskType.SPECIALIZED: AgentType.AGENT_API,
TaskType.TRIAGE: AgentType.TIMMY,
TaskType.PLANNING: AgentType.TIMMY,
TaskType.CREATIVE: AgentType.TIMMY,
TaskType.ORCHESTRATION: AgentType.TIMMY,
}
# ---------------------------------------------------------------------------
# Dispatch result
# ---------------------------------------------------------------------------
@dataclass
class DispatchResult:
"""Outcome of a dispatch call."""
task_type: TaskType
agent: AgentType
issue_number: int | None
status: DispatchStatus
comment_id: int | None = None
label_applied: str | None = None
error: str | None = None
retry_count: int = 0
metadata: dict[str, Any] = field(default_factory=dict)
@property
def success(self) -> bool: # noqa: D401
return self.status in (DispatchStatus.ASSIGNED, DispatchStatus.COMPLETED)
# ---------------------------------------------------------------------------
# Routing logic
# ---------------------------------------------------------------------------
def select_agent(task_type: TaskType) -> AgentType:
"""Return the best agent for *task_type* based on the routing table.
Args:
task_type: The category of engineering work to be done.
Returns:
The :class:`AgentType` best suited to handle this task.
"""
return _TASK_ROUTING.get(task_type, AgentType.TIMMY)
def infer_task_type(title: str, description: str = "") -> TaskType:
"""Heuristic: guess the most appropriate :class:`TaskType` from text.
Scans *title* and *description* for keyword signals and returns the
strongest match. Falls back to :attr:`TaskType.ROUTINE_CODING`.
Args:
title: Short task title.
description: Longer task description (optional).
Returns:
The inferred :class:`TaskType`.
"""
text = (title + " " + description).lower()
_SIGNALS: list[tuple[TaskType, frozenset[str]]] = [
(TaskType.ARCHITECTURE, frozenset({"architect", "design", "adr", "system design", "schema"})),
(TaskType.REFACTORING, frozenset({"refactor", "clean up", "cleanup", "reorganise", "reorganize"})),
(TaskType.CODE_REVIEW, frozenset({"review", "pr review", "pull request review", "audit"})),
(TaskType.COMPLEX_REASONING, frozenset({"complex", "hard problem", "debug", "investigate", "diagnose"})),
(TaskType.RESEARCH, frozenset({"research", "survey", "literature", "benchmark", "analyse", "analyze"})),
(TaskType.ANALYSIS, frozenset({"analysis", "profil", "trace", "metric", "performance"})),
(TaskType.TRIAGE, frozenset({"triage", "classify", "prioritise", "prioritize"})),
(TaskType.PLANNING, frozenset({"plan", "roadmap", "milestone", "epic", "spike"})),
(TaskType.CREATIVE, frozenset({"creative", "persona", "story", "write", "draft"})),
(TaskType.ORCHESTRATION, frozenset({"orchestrat", "coordinat", "swarm", "dispatch"})),
(TaskType.PARALLEL_IMPLEMENTATION, frozenset({"parallel", "concurrent", "batch"})),
(TaskType.FAST_ITERATION, frozenset({"quick", "fast", "iterate", "prototype", "poc"})),
]
for task_type, keywords in _SIGNALS:
if any(kw in text for kw in keywords):
return task_type
return TaskType.ROUTINE_CODING
# ---------------------------------------------------------------------------
# Gitea helpers
# ---------------------------------------------------------------------------
async def _post_gitea_comment(
client: Any,
base_url: str,
repo: str,
headers: dict[str, str],
issue_number: int,
body: str,
) -> int | None:
"""Post a comment on a Gitea issue and return the comment ID."""
try:
resp = await client.post(
f"{base_url}/repos/{repo}/issues/{issue_number}/comments",
headers=headers,
json={"body": body},
)
if resp.status_code in (200, 201):
return resp.json().get("id")
logger.warning(
"Comment on #%s returned %s: %s",
issue_number,
resp.status_code,
resp.text[:200],
)
except Exception as exc:
logger.warning("Failed to post comment on #%s: %s", issue_number, exc)
return None
async def _apply_gitea_label(
client: Any,
base_url: str,
repo: str,
headers: dict[str, str],
issue_number: int,
label_name: str,
label_color: str = "#0075ca",
) -> bool:
"""Ensure *label_name* exists and apply it to an issue.
Returns True if the label was successfully applied.
"""
# Resolve or create the label
label_id: int | None = None
try:
resp = await client.get(f"{base_url}/repos/{repo}/labels", headers=headers)
if resp.status_code == 200:
for lbl in resp.json():
if lbl.get("name") == label_name:
label_id = lbl["id"]
break
except Exception as exc:
logger.warning("Failed to list labels: %s", exc)
return False
if label_id is None:
try:
resp = await client.post(
f"{base_url}/repos/{repo}/labels",
headers=headers,
json={"name": label_name, "color": label_color},
)
if resp.status_code in (200, 201):
label_id = resp.json().get("id")
except Exception as exc:
logger.warning("Failed to create label %r: %s", label_name, exc)
return False
if label_id is None:
return False
# Apply label to the issue
try:
resp = await client.post(
f"{base_url}/repos/{repo}/issues/{issue_number}/labels",
headers=headers,
json={"labels": [label_id]},
)
return resp.status_code in (200, 201)
except Exception as exc:
logger.warning("Failed to apply label %r to #%s: %s", label_name, issue_number, exc)
return False
async def _poll_issue_completion(
issue_number: int,
poll_interval: int = 60,
max_wait: int = 7200,
) -> DispatchStatus:
"""Poll a Gitea issue until closed (completed) or timeout.
Args:
issue_number: Gitea issue to watch.
poll_interval: Seconds between polls.
max_wait: Maximum total seconds to wait.
Returns:
:attr:`DispatchStatus.COMPLETED` if the issue was closed,
:attr:`DispatchStatus.TIMED_OUT` otherwise.
"""
try:
import httpx
except ImportError as exc:
logger.warning("poll_issue_completion: missing dependency: %s", exc)
return DispatchStatus.FAILED
base_url = f"{settings.gitea_url}/api/v1"
repo = settings.gitea_repo
headers = {"Authorization": f"token {settings.gitea_token}"}
issue_url = f"{base_url}/repos/{repo}/issues/{issue_number}"
elapsed = 0
while elapsed < max_wait:
try:
async with httpx.AsyncClient(timeout=10) as client:
resp = await client.get(issue_url, headers=headers)
if resp.status_code == 200 and resp.json().get("state") == "closed":
logger.info("Issue #%s closed — task completed", issue_number)
return DispatchStatus.COMPLETED
except Exception as exc:
logger.warning("Poll error for issue #%s: %s", issue_number, exc)
await asyncio.sleep(poll_interval)
elapsed += poll_interval
logger.warning("Timed out waiting for issue #%s after %ss", issue_number, max_wait)
return DispatchStatus.TIMED_OUT
# ---------------------------------------------------------------------------
# Core dispatch functions
# ---------------------------------------------------------------------------
async def _dispatch_via_gitea(
agent: AgentType,
issue_number: int,
title: str,
description: str,
acceptance_criteria: list[str],
) -> DispatchResult:
"""Assign a task by applying a Gitea label and posting an assignment comment.
Args:
agent: Target agent.
issue_number: Gitea issue to assign.
title: Short task title.
description: Full task description.
acceptance_criteria: List of acceptance criteria strings.
Returns:
:class:`DispatchResult` describing the outcome.
"""
try:
import httpx
except ImportError as exc:
return DispatchResult(
task_type=TaskType.ROUTINE_CODING,
agent=agent,
issue_number=issue_number,
status=DispatchStatus.FAILED,
error=f"Missing dependency: {exc}",
)
spec = AGENT_REGISTRY[agent]
task_type = infer_task_type(title, description)
if not settings.gitea_enabled or not settings.gitea_token:
return DispatchResult(
task_type=task_type,
agent=agent,
issue_number=issue_number,
status=DispatchStatus.FAILED,
error="Gitea integration not configured (no token or disabled).",
)
base_url = f"{settings.gitea_url}/api/v1"
repo = settings.gitea_repo
headers = {
"Authorization": f"token {settings.gitea_token}",
"Content-Type": "application/json",
}
comment_id: int | None = None
label_applied: str | None = None
async with httpx.AsyncClient(timeout=15) as client:
# 1. Apply agent label (if applicable)
if spec.gitea_label:
ok = await _apply_gitea_label(
client, base_url, repo, headers, issue_number, spec.gitea_label
)
if ok:
label_applied = spec.gitea_label
logger.info(
"Applied label %r to issue #%s for %s",
spec.gitea_label,
issue_number,
spec.display_name,
)
else:
logger.warning(
"Could not apply label %r to issue #%s",
spec.gitea_label,
issue_number,
)
# 2. Post assignment comment
criteria_md = "\n".join(f"- {c}" for c in acceptance_criteria) if acceptance_criteria else "_None specified_"
comment_body = (
f"## Assigned to {spec.display_name}\n\n"
f"**Task type:** `{task_type.value}`\n\n"
f"**Description:**\n{description}\n\n"
f"**Acceptance criteria:**\n{criteria_md}\n\n"
f"---\n*Dispatched by Timmy agent dispatcher.*"
)
comment_id = await _post_gitea_comment(
client, base_url, repo, headers, issue_number, comment_body
)
if comment_id is not None or label_applied is not None:
logger.info(
"Dispatched issue #%s to %s (label=%r, comment=%s)",
issue_number,
spec.display_name,
label_applied,
comment_id,
)
return DispatchResult(
task_type=task_type,
agent=agent,
issue_number=issue_number,
status=DispatchStatus.ASSIGNED,
comment_id=comment_id,
label_applied=label_applied,
)
return DispatchResult(
task_type=task_type,
agent=agent,
issue_number=issue_number,
status=DispatchStatus.FAILED,
error="Failed to apply label and post comment — check Gitea connectivity.",
)
async def _dispatch_via_api(
agent: AgentType,
title: str,
description: str,
acceptance_criteria: list[str],
issue_number: int | None = None,
endpoint: str | None = None,
) -> DispatchResult:
"""Dispatch a task to an external HTTP API agent.
Args:
agent: Target agent.
title: Short task title.
description: Task description.
acceptance_criteria: List of acceptance criteria.
issue_number: Optional Gitea issue for cross-referencing.
endpoint: Override API endpoint URL (uses spec default if omitted).
Returns:
:class:`DispatchResult` describing the outcome.
"""
spec = AGENT_REGISTRY[agent]
task_type = infer_task_type(title, description)
url = endpoint or spec.api_endpoint
if not url:
return DispatchResult(
task_type=task_type,
agent=agent,
issue_number=issue_number,
status=DispatchStatus.FAILED,
error=f"No API endpoint configured for agent {agent.value}.",
)
payload = {
"title": title,
"description": description,
"acceptance_criteria": acceptance_criteria,
"issue_number": issue_number,
"agent": agent.value,
"task_type": task_type.value,
}
try:
import httpx
async with httpx.AsyncClient(timeout=30) as client:
resp = await client.post(url, json=payload)
if resp.status_code in (200, 201, 202):
logger.info("Dispatched %r to API agent %s at %s", title[:60], agent.value, url)
return DispatchResult(
task_type=task_type,
agent=agent,
issue_number=issue_number,
status=DispatchStatus.ASSIGNED,
metadata={"response": resp.json() if resp.content else {}},
)
return DispatchResult(
task_type=task_type,
agent=agent,
issue_number=issue_number,
status=DispatchStatus.FAILED,
error=f"API agent returned {resp.status_code}: {resp.text[:200]}",
)
except Exception as exc:
logger.warning("API dispatch to %s failed: %s", url, exc)
return DispatchResult(
task_type=task_type,
agent=agent,
issue_number=issue_number,
status=DispatchStatus.FAILED,
error=str(exc),
)
async def _dispatch_local(
title: str,
description: str = "",
acceptance_criteria: list[str] | None = None,
issue_number: int | None = None,
) -> DispatchResult:
"""Handle a task locally — Timmy processes it directly.
This is a lightweight stub. Real local execution should be wired
into the agentic loop or a dedicated Timmy tool.
Args:
title: Short task title.
description: Task description.
acceptance_criteria: Acceptance criteria list.
issue_number: Optional Gitea issue number for logging.
Returns:
:class:`DispatchResult` with ASSIGNED status (local execution is
assumed to succeed at dispatch time).
"""
task_type = infer_task_type(title, description)
logger.info(
"Timmy handling task locally: %r (issue #%s)", title[:60], issue_number
)
return DispatchResult(
task_type=task_type,
agent=AgentType.TIMMY,
issue_number=issue_number,
status=DispatchStatus.ASSIGNED,
metadata={"local": True, "description": description},
)
# ---------------------------------------------------------------------------
# Public entry point
# ---------------------------------------------------------------------------
async def dispatch_task(
title: str,
description: str = "",
acceptance_criteria: list[str] | None = None,
task_type: TaskType | None = None,
agent: AgentType | None = None,
issue_number: int | None = None,
api_endpoint: str | None = None,
max_retries: int = 1,
) -> DispatchResult:
"""Route a task to the best available agent.
This is the primary entry point. Callers can either specify the
*agent* and *task_type* explicitly or let the dispatcher infer them
from the *title* and *description*.
Args:
title: Short human-readable task title.
description: Full task description with context.
acceptance_criteria: List of acceptance criteria strings.
task_type: Override automatic task type inference.
agent: Override automatic agent selection.
issue_number: Gitea issue number to log the assignment on.
api_endpoint: Override API endpoint for AGENT_API dispatches.
max_retries: Number of retry attempts on failure (default 1).
Returns:
:class:`DispatchResult` describing the final dispatch outcome.
Example::
result = await dispatch_task(
issue_number=1072,
title="Build the cascade LLM router",
description="We need automatic failover...",
acceptance_criteria=["Circuit breaker works", "Metrics exposed"],
)
if result.success:
print(f"Assigned to {result.agent.value}")
"""
criteria = acceptance_criteria or []
if not title.strip():
return DispatchResult(
task_type=task_type or TaskType.ROUTINE_CODING,
agent=agent or AgentType.TIMMY,
issue_number=issue_number,
status=DispatchStatus.FAILED,
error="`title` is required.",
)
resolved_type = task_type or infer_task_type(title, description)
resolved_agent = agent or select_agent(resolved_type)
logger.info(
"Dispatching task %r%s (type=%s, issue=#%s)",
title[:60],
resolved_agent.value,
resolved_type.value,
issue_number,
)
spec = AGENT_REGISTRY[resolved_agent]
last_result: DispatchResult | None = None
for attempt in range(max_retries + 1):
if attempt > 0:
logger.info("Retry %d/%d for task %r", attempt, max_retries, title[:60])
if spec.interface == "gitea" and issue_number is not None:
result = await _dispatch_via_gitea(
resolved_agent, issue_number, title, description, criteria
)
elif spec.interface == "api":
result = await _dispatch_via_api(
resolved_agent, title, description, criteria, issue_number, api_endpoint
)
else:
result = await _dispatch_local(title, description, criteria, issue_number)
result.retry_count = attempt
last_result = result
if result.success:
return result
logger.warning(
"Dispatch attempt %d failed for task %r: %s",
attempt + 1,
title[:60],
result.error,
)
# All attempts exhausted — escalate
assert last_result is not None
last_result.status = DispatchStatus.ESCALATED
logger.error(
"Task %r escalated after %d failed attempt(s): %s",
title[:60],
max_retries + 1,
last_result.error,
)
# Try to log the escalation on the issue
if issue_number is not None:
await _log_escalation(issue_number, resolved_agent, last_result.error or "unknown error")
return last_result
async def _log_escalation(
issue_number: int,
agent: AgentType,
error: str,
) -> None:
"""Post an escalation notice on the Gitea issue."""
try:
import httpx
if not settings.gitea_enabled or not settings.gitea_token:
return
base_url = f"{settings.gitea_url}/api/v1"
repo = settings.gitea_repo
headers = {
"Authorization": f"token {settings.gitea_token}",
"Content-Type": "application/json",
}
body = (
f"## Dispatch Escalated\n\n"
f"Could not assign to **{AGENT_REGISTRY[agent].display_name}** "
f"after {1} attempt(s).\n\n"
f"**Error:** {error}\n\n"
f"Manual intervention required.\n\n"
f"---\n*Timmy agent dispatcher.*"
)
async with httpx.AsyncClient(timeout=10) as client:
await _post_gitea_comment(
client, base_url, repo, headers, issue_number, body
)
except Exception as exc:
logger.warning("Failed to post escalation comment: %s", exc)
# ---------------------------------------------------------------------------
# Monitoring helper
# ---------------------------------------------------------------------------
async def wait_for_completion(
issue_number: int,
poll_interval: int = 60,
max_wait: int = 7200,
) -> DispatchStatus:
"""Block until the assigned Gitea issue is closed or the timeout fires.
Useful for synchronous orchestration where the caller wants to wait for
the assigned agent to finish before proceeding.
Args:
issue_number: Gitea issue to monitor.
poll_interval: Seconds between status polls.
max_wait: Maximum wait in seconds (default 2 hours).
Returns:
:attr:`DispatchStatus.COMPLETED` or :attr:`DispatchStatus.TIMED_OUT`.
"""
return await _poll_issue_completion(issue_number, poll_interval, max_wait)

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"""Tests for the agent dispatcher (timmy.dispatcher)."""
from __future__ import annotations
from unittest.mock import AsyncMock, MagicMock, patch
import pytest
from timmy.dispatcher import (
AGENT_REGISTRY,
AgentType,
DispatchResult,
DispatchStatus,
TaskType,
_dispatch_local,
_dispatch_via_api,
_dispatch_via_gitea,
dispatch_task,
infer_task_type,
select_agent,
wait_for_completion,
)
# ---------------------------------------------------------------------------
# Agent registry
# ---------------------------------------------------------------------------
class TestAgentRegistry:
def test_all_agents_present(self):
for member in AgentType:
assert member in AGENT_REGISTRY, f"AgentType.{member.name} missing from registry"
def test_agent_specs_have_display_names(self):
for agent, spec in AGENT_REGISTRY.items():
assert spec.display_name, f"{agent} has empty display_name"
def test_gitea_agents_have_labels(self):
for agent, spec in AGENT_REGISTRY.items():
if spec.interface == "gitea":
assert spec.gitea_label, f"{agent} is gitea interface but has no label"
def test_non_gitea_agents_have_no_labels(self):
for agent, spec in AGENT_REGISTRY.items():
if spec.interface not in ("gitea",):
# api and local agents may have no label
assert spec.gitea_label is None or spec.interface == "gitea"
def test_max_concurrent_positive(self):
for agent, spec in AGENT_REGISTRY.items():
assert spec.max_concurrent >= 1, f"{agent} has max_concurrent < 1"
# ---------------------------------------------------------------------------
# select_agent
# ---------------------------------------------------------------------------
class TestSelectAgent:
def test_architecture_routes_to_claude(self):
assert select_agent(TaskType.ARCHITECTURE) == AgentType.CLAUDE_CODE
def test_refactoring_routes_to_claude(self):
assert select_agent(TaskType.REFACTORING) == AgentType.CLAUDE_CODE
def test_code_review_routes_to_claude(self):
assert select_agent(TaskType.CODE_REVIEW) == AgentType.CLAUDE_CODE
def test_routine_coding_routes_to_kimi(self):
assert select_agent(TaskType.ROUTINE_CODING) == AgentType.KIMI_CODE
def test_fast_iteration_routes_to_kimi(self):
assert select_agent(TaskType.FAST_ITERATION) == AgentType.KIMI_CODE
def test_research_routes_to_agent_api(self):
assert select_agent(TaskType.RESEARCH) == AgentType.AGENT_API
def test_triage_routes_to_timmy(self):
assert select_agent(TaskType.TRIAGE) == AgentType.TIMMY
def test_planning_routes_to_timmy(self):
assert select_agent(TaskType.PLANNING) == AgentType.TIMMY
# ---------------------------------------------------------------------------
# infer_task_type
# ---------------------------------------------------------------------------
class TestInferTaskType:
def test_architecture_keyword(self):
assert infer_task_type("Design the LLM router architecture") == TaskType.ARCHITECTURE
def test_refactor_keyword(self):
assert infer_task_type("Refactor the auth middleware") == TaskType.REFACTORING
def test_code_review_keyword(self):
assert infer_task_type("Review PR for cascade router") == TaskType.CODE_REVIEW
def test_research_keyword(self):
assert infer_task_type("Research embedding models") == TaskType.RESEARCH
def test_triage_keyword(self):
assert infer_task_type("Triage open issues") == TaskType.TRIAGE
def test_planning_keyword(self):
assert infer_task_type("Plan the v2.0 roadmap") == TaskType.PLANNING
def test_fallback_returns_routine_coding(self):
assert infer_task_type("Do the thing") == TaskType.ROUTINE_CODING
def test_description_contributes_to_inference(self):
result = infer_task_type("Implement feature", "We need to refactor the old code")
assert result == TaskType.REFACTORING
def test_case_insensitive(self):
assert infer_task_type("ARCHITECTURE DESIGN") == TaskType.ARCHITECTURE
# ---------------------------------------------------------------------------
# DispatchResult
# ---------------------------------------------------------------------------
class TestDispatchResult:
def test_success_when_assigned(self):
r = DispatchResult(
task_type=TaskType.ROUTINE_CODING,
agent=AgentType.KIMI_CODE,
issue_number=1,
status=DispatchStatus.ASSIGNED,
)
assert r.success is True
def test_success_when_completed(self):
r = DispatchResult(
task_type=TaskType.ROUTINE_CODING,
agent=AgentType.KIMI_CODE,
issue_number=1,
status=DispatchStatus.COMPLETED,
)
assert r.success is True
def test_not_success_when_failed(self):
r = DispatchResult(
task_type=TaskType.ROUTINE_CODING,
agent=AgentType.KIMI_CODE,
issue_number=1,
status=DispatchStatus.FAILED,
)
assert r.success is False
def test_not_success_when_escalated(self):
r = DispatchResult(
task_type=TaskType.ROUTINE_CODING,
agent=AgentType.KIMI_CODE,
issue_number=1,
status=DispatchStatus.ESCALATED,
)
assert r.success is False
# ---------------------------------------------------------------------------
# _dispatch_local
# ---------------------------------------------------------------------------
class TestDispatchLocal:
async def test_returns_assigned(self):
result = await _dispatch_local(
title="Plan the migration",
description="We need a plan.",
acceptance_criteria=["Plan is documented"],
issue_number=42,
)
assert result.status == DispatchStatus.ASSIGNED
assert result.agent == AgentType.TIMMY
assert result.issue_number == 42
async def test_infers_task_type(self):
result = await _dispatch_local(
title="Plan the sprint",
description="",
acceptance_criteria=[],
)
assert result.task_type == TaskType.PLANNING
async def test_no_issue_number(self):
result = await _dispatch_local(title="Do something", description="")
assert result.issue_number is None
# ---------------------------------------------------------------------------
# _dispatch_via_api
# ---------------------------------------------------------------------------
class TestDispatchViaApi:
async def test_no_endpoint_returns_failed(self):
result = await _dispatch_via_api(
agent=AgentType.AGENT_API,
title="Analyse logs",
description="",
acceptance_criteria=[],
)
assert result.status == DispatchStatus.FAILED
assert "No API endpoint" in (result.error or "")
async def test_successful_api_call(self):
mock_resp = MagicMock()
mock_resp.status_code = 202
mock_resp.content = b'{"ok": true}'
mock_resp.json.return_value = {"ok": True}
mock_client = AsyncMock()
mock_client.__aenter__ = AsyncMock(return_value=mock_client)
mock_client.__aexit__ = AsyncMock(return_value=False)
mock_client.post = AsyncMock(return_value=mock_resp)
with patch("httpx.AsyncClient", return_value=mock_client):
result = await _dispatch_via_api(
agent=AgentType.AGENT_API,
title="Analyse logs",
description="Look at the logs",
acceptance_criteria=["Report produced"],
endpoint="http://fake-agent/dispatch",
)
assert result.status == DispatchStatus.ASSIGNED
assert result.agent == AgentType.AGENT_API
async def test_api_error_returns_failed(self):
mock_resp = MagicMock()
mock_resp.status_code = 500
mock_resp.text = "Internal Server Error"
mock_client = AsyncMock()
mock_client.__aenter__ = AsyncMock(return_value=mock_client)
mock_client.__aexit__ = AsyncMock(return_value=False)
mock_client.post = AsyncMock(return_value=mock_resp)
with patch("httpx.AsyncClient", return_value=mock_client):
result = await _dispatch_via_api(
agent=AgentType.AGENT_API,
title="Analyse logs",
description="",
acceptance_criteria=[],
endpoint="http://fake-agent/dispatch",
)
assert result.status == DispatchStatus.FAILED
assert "500" in (result.error or "")
# ---------------------------------------------------------------------------
# _dispatch_via_gitea
# ---------------------------------------------------------------------------
_GITEA_SETTINGS = MagicMock(
gitea_enabled=True,
gitea_token="test-token",
gitea_url="http://gitea.test",
gitea_repo="owner/repo",
)
class TestDispatchViaGitea:
def _make_client(self, label_list=None, label_create_status=201, comment_status=201):
"""Build a mock httpx.AsyncClient for Gitea interactions."""
label_resp = MagicMock()
label_resp.status_code = 200
label_resp.json.return_value = label_list or []
create_label_resp = MagicMock()
create_label_resp.status_code = label_create_status
create_label_resp.json.return_value = {"id": 99}
apply_label_resp = MagicMock()
apply_label_resp.status_code = 201
comment_resp = MagicMock()
comment_resp.status_code = comment_status
comment_resp.json.return_value = {"id": 7}
client = AsyncMock()
client.__aenter__ = AsyncMock(return_value=client)
client.__aexit__ = AsyncMock(return_value=False)
client.get = AsyncMock(return_value=label_resp)
client.post = AsyncMock(side_effect=[create_label_resp, apply_label_resp, comment_resp])
return client
async def test_successful_gitea_dispatch(self):
client = self._make_client()
with (
patch("httpx.AsyncClient", return_value=client),
patch("timmy.dispatcher.settings", _GITEA_SETTINGS),
):
result = await _dispatch_via_gitea(
agent=AgentType.CLAUDE_CODE,
issue_number=1072,
title="Design the router",
description="We need a cascade router.",
acceptance_criteria=["Failover works"],
)
assert result.success
assert result.agent == AgentType.CLAUDE_CODE
assert result.issue_number == 1072
assert result.status == DispatchStatus.ASSIGNED
async def test_no_gitea_token_returns_failed(self):
bad_settings = MagicMock(gitea_enabled=True, gitea_token="", gitea_url="http://x", gitea_repo="a/b")
with patch("timmy.dispatcher.settings", bad_settings):
result = await _dispatch_via_gitea(
agent=AgentType.CLAUDE_CODE,
issue_number=1,
title="Some task",
description="",
acceptance_criteria=[],
)
assert result.status == DispatchStatus.FAILED
assert "not configured" in (result.error or "").lower()
async def test_gitea_disabled_returns_failed(self):
bad_settings = MagicMock(gitea_enabled=False, gitea_token="tok", gitea_url="http://x", gitea_repo="a/b")
with patch("timmy.dispatcher.settings", bad_settings):
result = await _dispatch_via_gitea(
agent=AgentType.CLAUDE_CODE,
issue_number=1,
title="Some task",
description="",
acceptance_criteria=[],
)
assert result.status == DispatchStatus.FAILED
async def test_existing_label_reused(self):
"""When the label already exists, it should be reused (no creation call)."""
label_resp = MagicMock()
label_resp.status_code = 200
label_resp.json.return_value = [{"name": "claude-ready", "id": 55}]
apply_resp = MagicMock()
apply_resp.status_code = 201
comment_resp = MagicMock()
comment_resp.status_code = 201
comment_resp.json.return_value = {"id": 8}
client = AsyncMock()
client.__aenter__ = AsyncMock(return_value=client)
client.__aexit__ = AsyncMock(return_value=False)
client.get = AsyncMock(return_value=label_resp)
client.post = AsyncMock(side_effect=[apply_resp, comment_resp])
with (
patch("httpx.AsyncClient", return_value=client),
patch("timmy.dispatcher.settings", _GITEA_SETTINGS),
):
result = await _dispatch_via_gitea(
agent=AgentType.CLAUDE_CODE,
issue_number=10,
title="Architecture task",
description="",
acceptance_criteria=[],
)
assert result.success
# Should only have 2 POST calls: apply label + comment (no label creation)
assert client.post.call_count == 2
# ---------------------------------------------------------------------------
# dispatch_task (integration-style)
# ---------------------------------------------------------------------------
class TestDispatchTask:
async def test_empty_title_returns_failed(self):
result = await dispatch_task(title=" ")
assert result.status == DispatchStatus.FAILED
assert "`title` is required" in (result.error or "")
async def test_local_dispatch_for_timmy_task(self):
result = await dispatch_task(
title="Triage the open issues",
description="We have 40 open issues.",
acceptance_criteria=["Issues are labelled"],
task_type=TaskType.TRIAGE,
)
assert result.agent == AgentType.TIMMY
assert result.success
async def test_explicit_agent_override(self):
"""Caller can force a specific agent regardless of task type."""
result = await dispatch_task(
title="Triage the open issues",
agent=AgentType.TIMMY,
)
assert result.agent == AgentType.TIMMY
async def test_gitea_dispatch_when_issue_provided(self):
client_mock = AsyncMock()
client_mock.__aenter__ = AsyncMock(return_value=client_mock)
client_mock.__aexit__ = AsyncMock(return_value=False)
client_mock.get = AsyncMock(return_value=MagicMock(status_code=200, json=MagicMock(return_value=[])))
create_resp = MagicMock(status_code=201, json=MagicMock(return_value={"id": 1}))
apply_resp = MagicMock(status_code=201)
comment_resp = MagicMock(status_code=201, json=MagicMock(return_value={"id": 5}))
client_mock.post = AsyncMock(side_effect=[create_resp, apply_resp, comment_resp])
with (
patch("httpx.AsyncClient", return_value=client_mock),
patch("timmy.dispatcher.settings", _GITEA_SETTINGS),
):
result = await dispatch_task(
title="Design the cascade router",
description="Architecture task.",
task_type=TaskType.ARCHITECTURE,
issue_number=1072,
)
assert result.agent == AgentType.CLAUDE_CODE
assert result.success
async def test_escalation_after_max_retries(self):
"""If all attempts fail, the result is ESCALATED."""
with (
patch("timmy.dispatcher._dispatch_via_gitea", new_callable=AsyncMock) as mock_dispatch,
patch("timmy.dispatcher._log_escalation", new_callable=AsyncMock),
):
mock_dispatch.return_value = DispatchResult(
task_type=TaskType.ARCHITECTURE,
agent=AgentType.CLAUDE_CODE,
issue_number=1,
status=DispatchStatus.FAILED,
error="Gitea offline",
)
result = await dispatch_task(
title="Design router",
task_type=TaskType.ARCHITECTURE,
issue_number=1,
max_retries=1,
)
assert result.status == DispatchStatus.ESCALATED
assert mock_dispatch.call_count == 2 # initial + 1 retry
async def test_no_retry_on_success(self):
with patch("timmy.dispatcher._dispatch_via_gitea", new_callable=AsyncMock) as mock_dispatch:
mock_dispatch.return_value = DispatchResult(
task_type=TaskType.ARCHITECTURE,
agent=AgentType.CLAUDE_CODE,
issue_number=1,
status=DispatchStatus.ASSIGNED,
comment_id=42,
label_applied="claude-ready",
)
result = await dispatch_task(
title="Design router",
task_type=TaskType.ARCHITECTURE,
issue_number=1,
max_retries=2,
)
assert result.success
assert mock_dispatch.call_count == 1 # no retries needed
# ---------------------------------------------------------------------------
# wait_for_completion
# ---------------------------------------------------------------------------
class TestWaitForCompletion:
async def test_returns_completed_when_issue_closed(self):
closed_resp = MagicMock(
status_code=200,
json=MagicMock(return_value={"state": "closed"}),
)
client_mock = AsyncMock()
client_mock.__aenter__ = AsyncMock(return_value=client_mock)
client_mock.__aexit__ = AsyncMock(return_value=False)
client_mock.get = AsyncMock(return_value=closed_resp)
with (
patch("httpx.AsyncClient", return_value=client_mock),
patch("timmy.dispatcher.settings", _GITEA_SETTINGS),
):
status = await wait_for_completion(issue_number=42, poll_interval=0, max_wait=5)
assert status == DispatchStatus.COMPLETED
async def test_returns_timed_out_when_still_open(self):
open_resp = MagicMock(
status_code=200,
json=MagicMock(return_value={"state": "open"}),
)
client_mock = AsyncMock()
client_mock.__aenter__ = AsyncMock(return_value=client_mock)
client_mock.__aexit__ = AsyncMock(return_value=False)
client_mock.get = AsyncMock(return_value=open_resp)
with (
patch("httpx.AsyncClient", return_value=client_mock),
patch("timmy.dispatcher.settings", _GITEA_SETTINGS),
patch("asyncio.sleep", new_callable=AsyncMock),
):
status = await wait_for_completion(issue_number=42, poll_interval=1, max_wait=2)
assert status == DispatchStatus.TIMED_OUT