v0.2.16 - Add Python test harness and fix increment script commit identity handling

This commit is contained in:
Didactyl User
2026-03-25 09:22:15 -04:00
parent 81590040c0
commit 9a5beac80d
47 changed files with 1705 additions and 4 deletions

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@@ -54,11 +54,11 @@ Skills compose by adoption-list order (`10123`) and trigger tags carry runtime e
Didactyl will support local inference, which is very privacy preserving. Remote inference does however have it's advantages, and in those cases Didactyl supports using Bitcoin Lightning and eCash inference providers.
## Current Status — v0.2.14
## Current Status — v0.2.16
**Active build — this project is barely working. Experiment at your own risk.**
> Last release update: v0.2.14Follow-up push after context verification and startup-skill refactor
> Last release update: v0.2.16Add Python test harness and fix increment script commit identity handling
- Connects to configured relays with auto-reconnect and relay state transition logging
- Publishes configured startup events per relay as each relay becomes connected

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@@ -111,6 +111,37 @@ check_git_repo() {
fi
}
# Ensure git identity exists so commits do not fail on clean machines
ensure_git_identity() {
local current_name=""
local current_email=""
current_name=$(git config --get user.name 2>/dev/null || true)
current_email=$(git config --get user.email 2>/dev/null || true)
if [[ -n "$current_name" && -n "$current_email" ]]; then
return 0
fi
print_warning "Git user.name / user.email not fully configured for this repository"
local fallback_name
local fallback_email
fallback_name="${GIT_AUTHOR_NAME:-Didactyl User}"
fallback_email="${GIT_AUTHOR_EMAIL:-didactyl@local}"
if [[ -z "$current_name" ]]; then
git config user.name "$fallback_name"
print_status "Set local git user.name to '$fallback_name'"
fi
if [[ -z "$current_email" ]]; then
git config user.email "$fallback_email"
print_status "Set local git user.email to '$fallback_email'"
fi
}
# Function to get current version and increment appropriately
increment_version() {
local increment_type="$1" # "patch", "minor", or "major"
@@ -293,6 +324,8 @@ git_commit_and_push_no_tag() {
print_success "Committed changes"
else
print_error "Failed to commit changes"
print_error "git commit output:"
git commit -m "$NEW_VERSION - $COMMIT_MESSAGE" 2>&1 || true
exit 1
fi
fi
@@ -498,6 +531,7 @@ main() {
# Check prerequisites
check_git_repo
ensure_git_identity
if [[ "$RELEASE_MODE" == true ]]; then
print_status "=== RELEASE MODE ==="

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@@ -0,0 +1,616 @@
# Didactyl Automated Test Harness
## Overview
An automated testing system that starts a Didactyl agent locally (debug build), converses with it via the HTTP API, exercises all tools, monitors logs in real-time, handles agent crashes/restarts, and produces a structured test results report.
**Language:** Python (stdlib only, no external dependencies)
**Location:** `tests/`
**Phase 1:** Scripted tests (no LLM driving the tester)
**Phase 2 (future):** LLM-driven test agent that generates prompts, evaluates responses, and adapts
---
## Architecture
```mermaid
flowchart TB
subgraph Test Harness - Python
RUNNER[test_runner.py<br/>orchestrator]
PROC[agent_process.py<br/>start/stop/restart]
CLIENT[didactyl_client.py<br/>HTTP API wrapper]
LOG[log_watcher.py<br/>tail debug.log]
REPORT[reporter.py<br/>results output]
RUNNER --> PROC
RUNNER --> CLIENT
RUNNER --> LOG
RUNNER --> REPORT
end
subgraph Test Suites
TH[test_health]
TC[test_conversation]
TI[test_tools_identity]
TN[test_tools_nostr]
TS[test_tools_skills]
TSY[test_tools_system]
TM[test_tools_memory]
TCA[test_tools_cashu]
TB[test_tools_blossom]
TTO[test_timeouts]
TE[test_errors]
TR[test_restart]
end
RUNNER --> TH & TC & TI & TN & TS & TSY & TM & TCA & TB & TTO & TE & TR
subgraph Didactyl Agent - debug build
AGENT[didactyl process]
API[HTTP API :8484]
LOGFILE[debug.log]
end
CLIENT -- HTTP --> API
PROC -- subprocess --> AGENT
LOG -- tail --> LOGFILE
```
---
## Design Decisions
| Decision | Choice | Rationale |
|---|---|---|
| Language | Python | Best subprocess/HTTP/threading support; already used in project |
| Dependencies | stdlib only | No pip install needed; `urllib`, `subprocess`, `threading`, `json` |
| Test framework | Standalone runner | Self-contained, no pytest dependency |
| Relay strategy | Flexible genesis config | User provides their own test_genesis.jsonc |
| LLM for agent | Real model | User provides API key in test genesis config |
| Tool scope | All tools | Disposable test identity; full coverage |
| Entry point | `tests/run_tests.py` | Single script to run everything |
---
## Directory Structure
```
tests/
├── harness/
│ ├── __init__.py
│ ├── agent_process.py # start/stop/restart didactyl subprocess
│ ├── didactyl_client.py # HTTP API wrapper with timeouts
│ ├── log_watcher.py # real-time log tail + marker system
│ ├── test_runner.py # orchestrator
│ └── reporter.py # results formatting (JSON + text)
├── suites/
│ ├── __init__.py
│ ├── test_health.py # status, context endpoints
│ ├── test_conversation.py # basic prompt/response
│ ├── test_tools_identity.py # identity and context tools
│ ├── test_tools_nostr.py # nostr event, messaging, relay tools
│ ├── test_tools_skills.py # skill and trigger tools
│ ├── test_tools_system.py # system, local, model, config tools
│ ├── test_tools_memory.py # task and memory tools
│ ├── test_tools_cashu.py # cashu wallet tools
│ ├── test_tools_blossom.py # blossom tools
│ ├── test_timeouts.py # response time assertions
│ ├── test_errors.py # API error handling paths
│ └── test_restart.py # crash recovery
├── configs/
│ └── test_genesis.jsonc # example test config (user fills in secrets)
├── results/ # test run output (gitignored)
├── run_tests.py # entry point
├── test.sh # existing bash test (kept as-is)
├── blossom_tool_validation_test.c # existing C test (kept as-is)
└── blossom_tool_validation_test # existing compiled test (kept as-is)
```
---
## Component Specifications
### 1. agent_process.py — Process Manager
Manages the didactyl subprocess lifecycle.
```python
class AgentProcess:
def __init__(self, binary_path, config_path, api_port=8484,
api_bind="127.0.0.1", debug_level=5, log_file=None):
"""Configure but don't start yet."""
def start(self, timeout=30) -> bool:
"""
Spawn didactyl as subprocess:
./didactyl --config <config_path> --debug <level>
--api-port <port> --api-bind <bind>
Set DIDACTYL_LOG_FILE env var to log_file path.
Wait for GET /api/status to return 200 (poll with timeout).
Returns True if agent started successfully.
"""
def stop(self, timeout=10) -> bool:
"""
Send SIGTERM, wait for clean exit.
If still alive after timeout, send SIGKILL.
Returns True if stopped cleanly.
"""
def restart(self, timeout=30) -> bool:
"""stop() then start()."""
def is_alive(self) -> bool:
"""Check process.poll() and optionally /api/status."""
def pid(self) -> int | None:
"""Return PID if running."""
def return_code(self) -> int | None:
"""Return exit code if stopped."""
```
Key details:
- Uses `subprocess.Popen` with `stdout=PIPE, stderr=PIPE`
- Captures stdout/stderr for crash diagnostics
- The health check polls `GET /api/status` every 500ms until success or timeout
- Sets `DIDACTYL_LOG_FILE` to a test-run-specific path like `tests/results/<timestamp>/agent_debug.log`
### 2. didactyl_client.py — HTTP API Client
Thin wrapper around the Didactyl HTTP API using only `urllib`.
```python
class DidactylClient:
def __init__(self, base_url="https://127.0.0.1:8484", timeout=60,
verify_tls=False):
"""Configure base URL and default timeout."""
def status(self) -> dict:
"""GET /api/status"""
def prompt(self, message: str, max_turns: int = 4,
model: str = None) -> dict:
"""POST /api/prompt/agent — full agent context conversation"""
def prompt_raw(self, messages: list, max_turns: int = 4,
model: str = None) -> dict:
"""POST /api/prompt/run — raw messages, no auto-context"""
def prompt_simple(self, system: str, user: str,
model: str = None) -> dict:
"""POST /api/prompt/run-simple — no tools"""
def context_current(self) -> dict:
"""GET /api/context/current"""
def context_parts(self) -> dict:
"""GET /api/context/parts"""
def fire_webhook(self, d_tag: str, payload: dict = None) -> dict:
"""POST /api/trigger/<d_tag>"""
```
Key details:
- All methods return parsed JSON dict
- Raises `TimeoutError` if response exceeds timeout
- Raises `ConnectionError` if agent is unreachable
- Raises `APIError(status_code, body)` for non-2xx responses
- Uses `ssl._create_unverified_context()` for local TLS (same as chat CLI)
### 3. log_watcher.py — Real-time Log Monitor
Background thread that tails the agent's debug log file.
```python
class LogWatcher:
def __init__(self, log_path: str):
"""Configure log file path."""
def start(self):
"""
Start background thread.
Open file, seek to end, poll for new lines.
Store all lines in memory with timestamps.
"""
def stop(self):
"""Stop background thread."""
def set_marker(self, name: str):
"""Record current line count as a named marker."""
def get_lines_since(self, marker: str) -> list[str]:
"""Return all lines captured since the named marker."""
def get_all_lines(self) -> list[str]:
"""Return all captured lines."""
def search(self, pattern: str, since_marker: str = None) -> list[str]:
"""Regex search through captured lines."""
def has_errors(self, since_marker: str = None) -> bool:
"""Check for [ERROR] lines since marker."""
def has_warnings(self, since_marker: str = None) -> bool:
"""Check for [WARN] lines since marker."""
def error_lines(self, since_marker: str = None) -> list[str]:
"""Return all ERROR lines since marker."""
```
Key details:
- Uses `threading.Thread(daemon=True)` for background polling
- Polls file every 100ms for new content
- Handles file rotation (agent restart creates new file)
- Thread-safe access to captured lines via `threading.Lock`
### 4. test_runner.py — Orchestrator
```python
class TestResult:
name: str
suite: str
status: str # "pass", "fail", "error", "skip", "timeout"
message: str
duration_seconds: float
agent_errors: list[str] # ERROR lines from log during this test
details: dict # arbitrary test-specific data
class TestCase:
name: str
description: str
requires_restart: bool = False
def run(self, client: DidactylClient, log: LogWatcher) -> TestResult:
"""Execute the test and return result."""
class TestRunner:
def __init__(self, agent: AgentProcess, client: DidactylClient,
log: LogWatcher):
"""Configure with harness components."""
def discover_suites(self, suites_dir: str) -> list:
"""Import all test_*.py modules from suites directory."""
def run_all(self, suites: list = None) -> list[TestResult]:
"""
For each suite:
1. If test requires restart, restart agent
2. Set log marker for this test
3. Run test with timeout wrapper
4. Capture result + any agent errors from log
5. If agent crashed, restart and record error
6. Collect all results
Return list of TestResult.
"""
def run_suite(self, suite_name: str) -> list[TestResult]:
"""Run a single named suite."""
```
Key details:
- Each test gets a fresh log marker so errors can be correlated
- If `client.prompt()` raises `TimeoutError`, the test is marked "timeout" and the agent is restarted
- If `agent.is_alive()` returns False mid-suite, the agent is restarted and remaining tests continue
- Supports filtering by suite name or test name via CLI args
### 5. reporter.py — Results Output
```python
class Reporter:
def __init__(self, results: list[TestResult], output_dir: str):
"""Configure with results and output directory."""
def print_summary(self):
"""Print pass/fail/error/skip/timeout counts to stdout."""
def print_details(self):
"""Print each test result with details."""
def write_json(self, path: str):
"""Write full results as JSON for programmatic consumption."""
def write_text(self, path: str):
"""Write human-readable report."""
```
Output format example:
```
== Didactyl Test Results ==
Run: 2026-03-25T09:50:00Z
Agent: v0.0.26
Model: claude-haiku-4.5
Pass: 42
Fail: 3
Error: 1
Timeout: 2
Skip: 0
Total: 48
-- Failures --
[FAIL] test_tools_nostr::nostr_post_kind1
Expected tool_calls to contain 'nostr_post', got: ['nostr_query']
Agent errors during test: 0
[FAIL] test_conversation::multi_turn
Agent returned empty final_response
Agent errors during test: 2
[ERROR] [llm.c:234] HTTP 429 rate limited
[ERROR] [llm.c:240] LLM call failed after 3 retries
[TIMEOUT] test_tools_skills::skill_create
No response within 60s
Agent was restarted
```
---
## Test Suite Specifications
### test_health.py
| Test | Prompt/Action | Assertions |
|---|---|---|
| `status_returns_200` | `GET /api/status` | HTTP 200, `success=true` |
| `status_has_fields` | `GET /api/status` | Has `name`, `version`, `pubkey`, `relay_count` |
| `context_current_returns_messages` | `GET /api/context/current` | Has `messages` array, `total_chars > 0` |
| `context_parts_has_system_prompt` | `GET /api/context/parts` | Has part named `system_prompt` |
### test_conversation.py
| Test | Prompt | Assertions |
|---|---|---|
| `simple_greeting` | "Hello, what is your name?" | `final_response` is non-empty string |
| `agent_responds_about_itself` | "What are you? Describe yourself briefly." | `final_response` mentions agent/Didactyl/Nostr |
| `empty_message_handling` | "" (empty string) | Returns error or handles gracefully |
| `very_long_message` | 10000 char string | Returns response or graceful error, no crash |
### test_tools_identity.py
| Test | Prompt | Expected Tool | Assertions |
|---|---|---|---|
| `get_pubkey` | "What is your public key in hex?" | `nostr_pubkey` or `my_pubkey` | Tool called, result has hex pubkey |
| `get_npub` | "What is your npub?" | `nostr_npub` or `my_npub` | Tool called, result has npub1... |
| `agent_identity` | "Tell me about your identity" | `agent_identity` | Tool called, success |
| `agent_version` | "What version are you?" | `agent_version` | Tool called, result has version string |
| `admin_identity` | "Who is your administrator?" | `admin_identity` | Tool called, success |
### test_tools_nostr.py
| Test | Prompt | Expected Tool | Assertions |
|---|---|---|---|
| `nostr_post_kind1` | "Post a test note saying 'Automated test post'" | `nostr_post` | Tool called with kind=1, success, event_id returned |
| `nostr_query_recent` | "Query the 3 most recent kind 1 notes from any author" | `nostr_query` | Tool called, returns events array |
| `nostr_my_events` | "List your recent events" | `nostr_my_events` | Tool called, success |
| `nostr_relay_status` | "What is the status of your relay connections?" | `nostr_relay_status` | Tool called, returns relay info |
| `nostr_dm_send` | "Send a test DM to yourself" | `nostr_dm_send` | Tool called, success |
| `nostr_encode_npub` | "Encode your pubkey as an npub" | `nostr_encode` | Tool called, returns npub |
| `nostr_profile_get` | "Look up your own Nostr profile" | `nostr_profile_get` | Tool called, returns profile |
### test_tools_skills.py
| Test | Prompt | Expected Tool | Assertions |
|---|---|---|---|
| `skill_list` | "List your available skills" | `skill_list` | Tool called, returns skills array |
| `trigger_list` | "List your active triggers" | `trigger_list` | Tool called, success |
| `skill_create_and_remove` | "Create a test skill called 'test-harness-probe' with content 'Test skill' then remove it" | `skill_create`, `skill_remove` | Both tools called, success |
### test_tools_system.py
| Test | Prompt | Expected Tool | Assertions |
|---|---|---|---|
| `tool_list` | "List all your available tools" | `tool_list` | Tool called, returns tools array |
| `model_get` | "What model are you currently using?" | `model_get` | Tool called, returns model info |
| `model_list` | "List available models" | `model_list` | Tool called, success |
| `local_http_fetch` | "Fetch https://httpbin.org/get" | `local_http_fetch` | Tool called, returns HTTP response |
| `config_store_recall` | "Store a test config with d_tag 'test_harness_probe' containing 'hello', then recall it" | `config_store`, `config_recall` | Both called, recalled value matches |
### test_tools_memory.py
| Test | Prompt | Expected Tool | Assertions |
|---|---|---|---|
| `task_list` | "Show me your current task list" | `task_list` or `task_manage` | Tool called, success |
| `task_manage_add_remove` | "Add a task 'test harness probe task' then remove it" | `task_manage` | Tool called with add then remove |
| `memory_save_recall` | "Save 'test harness probe' to memory, then recall your memory" | `memory_save`, `memory_recall` | Both called, recalled contains probe text |
### test_tools_cashu.py
| Test | Prompt | Expected Tool | Assertions |
|---|---|---|---|
| `wallet_balance` | "Check your cashu wallet balance" | `cashu_wallet_balance` | Tool called, success (even if empty) |
Note: Most cashu tools require a configured mint and funded wallet. Phase 1 tests only the read-only balance check. Full cashu testing requires a test mint setup.
### test_tools_blossom.py
| Test | Prompt | Expected Tool | Assertions |
|---|---|---|---|
| `blossom_list` | "List your blossom blobs" | `blossom_list` | Tool called, success (even if empty) |
Note: Full blossom testing requires a configured blossom server. Phase 1 tests only the list operation.
### test_timeouts.py
| Test | Action | Assertions |
|---|---|---|
| `response_within_timeout` | Send simple prompt, measure time | Response received within 60s |
| `status_responds_fast` | `GET /api/status`, measure time | Response within 2s |
| `context_responds_fast` | `GET /api/context/current`, measure time | Response within 5s |
### test_errors.py
| Test | Action | Assertions |
|---|---|---|
| `invalid_json_body` | POST malformed JSON to `/api/prompt/agent` | Returns 400, `success=false` |
| `missing_message_field` | POST `{}` to `/api/prompt/agent` | Returns 400, `success=false` |
| `unknown_endpoint` | GET `/api/nonexistent` | Returns 404 |
| `webhook_nonexistent_dtag` | POST to `/api/trigger/nonexistent-dtag` | Returns 404 |
### test_restart.py
| Test | Action | Assertions |
|---|---|---|
| `clean_restart` | Stop agent, start agent | Agent comes back, `/api/status` works |
| `status_after_restart` | Restart, then `GET /api/status` | Same pubkey, version as before restart |
| `conversation_after_restart` | Restart, then send prompt | Agent responds normally |
---
## Entry Point: run_tests.py
```
Usage:
python tests/run_tests.py [options]
Options:
--config PATH Path to test genesis.jsonc (default: tests/configs/test_genesis.jsonc)
--binary PATH Path to didactyl binary (default: ./didactyl)
--suite NAME Run only this suite (can repeat)
--test NAME Run only this test (can repeat)
--api-port PORT API port (default: 8485)
--timeout SECS Default response timeout (default: 60)
--debug-level N Agent debug level 0-5 (default: 5)
--output-dir PATH Results output directory (default: tests/results/<timestamp>)
--verbose Print each test result as it runs
--no-restart Don't auto-restart agent on crash (fail remaining tests)
```
---
## Test Genesis Config
`tests/configs/test_genesis.jsonc` — an example config the user fills in:
```jsonc
{
// TEST CONFIGURATION — fill in your test identity secrets
"key": {
"nsec": "nsec1REPLACE_WITH_DISPOSABLE_TEST_NSEC"
},
"admin": {
"pubkey": "npub1REPLACE_WITH_TEST_ADMIN_PUBKEY"
},
"dm_protocol": "nip04",
"llm": {
"provider": "openai",
"api_key": "sk-REPLACE_WITH_API_KEY",
"model": "claude-haiku-4.5",
"base_url": "https://api.anthropic.com/v1",
"max_tokens": 512,
"temperature": 0.3
},
"api": {
"enabled": true,
"port": 8485,
"bind_address": "127.0.0.1"
},
"startup_events": [
{
"kind": 0,
"content_fields": {
"name": "Didactyl Test Agent",
"about": "Automated test instance"
},
"tags": []
},
{
"kind": 10002,
"content": "",
"tags": [
["r", "wss://relay.damus.io"],
["r", "wss://relay.primal.net"]
]
},
{
"kind": 31124,
"content": "# Test Agent\n\nYou are a test agent. Respond to all requests. Use tools when asked.\n\n{{my_kind0_profile}}\n\nYour npub: {{my_npub}}",
"tags": [
["d", "identity_and_rules"],
["app", "didactyl"],
["scope", "private"],
["trigger", "dm"],
["filter", "{\"from\":\"admin\"}"]
]
}
]
}
```
---
## Execution Flow
```mermaid
flowchart TD
START[run_tests.py] --> PARSE[Parse CLI args]
PARSE --> BUILD[Verify didactyl binary exists]
BUILD --> CONFIG[Load test genesis config]
CONFIG --> MKDIR[Create results output dir]
MKDIR --> LOG_START[Start LogWatcher]
LOG_START --> AGENT_START[Start AgentProcess]
AGENT_START --> HEALTH[Wait for /api/status 200]
HEALTH -->|timeout| FAIL_STARTUP[Report startup failure and exit]
HEALTH -->|success| DISCOVER[Discover test suites]
DISCOVER --> LOOP{Next test?}
LOOP -->|yes| CHECK_ALIVE{Agent alive?}
CHECK_ALIVE -->|no| RESTART_MID[Restart agent]
RESTART_MID --> CHECK_ALIVE
CHECK_ALIVE -->|yes| MARKER[Set log marker]
MARKER --> RUN_TEST[Run test with timeout]
RUN_TEST -->|pass| RECORD_PASS[Record PASS]
RUN_TEST -->|fail| RECORD_FAIL[Record FAIL]
RUN_TEST -->|timeout| RESTART_TIMEOUT[Restart agent]
RESTART_TIMEOUT --> RECORD_TIMEOUT[Record TIMEOUT]
RUN_TEST -->|error| RECORD_ERROR[Record ERROR]
RECORD_PASS & RECORD_FAIL & RECORD_TIMEOUT & RECORD_ERROR --> COLLECT_LOGS[Collect agent errors since marker]
COLLECT_LOGS --> LOOP
LOOP -->|no more| STOP_AGENT[Stop agent]
STOP_AGENT --> STOP_LOG[Stop LogWatcher]
STOP_LOG --> REPORT[Generate report]
REPORT --> EXIT[Exit with code 0 if all pass else 1]
```
---
## Implementation Order
1. **Harness infrastructure** (agent_process, didactyl_client, log_watcher)
2. **Test runner + reporter** (orchestration layer)
3. **test_health.py** (validates the harness itself works)
4. **test_conversation.py** (validates basic agent interaction)
5. **test_errors.py** (validates error handling)
6. **test_timeouts.py** (validates timeout detection)
7. **test_restart.py** (validates process management)
8. **Tool test suites** (one at a time, identity → nostr → skills → system → memory → cashu → blossom)
9. **Entry point + config** (run_tests.py, test_genesis.jsonc)
10. **End-to-end validation** against a running agent
---
## Future: Phase 2 — LLM-Driven Testing
The architecture supports this naturally. In Phase 2:
- Add an `LLMTestAgent` class that wraps an LLM API call
- The LLM receives: tool documentation, test objectives, previous results
- It generates test prompts, evaluates responses, decides next actions
- The `TestCase.run()` method delegates to the LLM agent instead of scripted logic
- The LLM can also analyze agent logs for anomalies
- Potentially: the LLM can generate code patches for bugs it finds
No architectural changes needed — just a new test suite type that uses LLM reasoning instead of scripted assertions.

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@@ -12,8 +12,8 @@
// Using DIDACTYL_ prefix to avoid conflicts with nostr_core_lib VERSION macros
#define DIDACTYL_VERSION_MAJOR 0
#define DIDACTYL_VERSION_MINOR 2
#define DIDACTYL_VERSION_PATCH 14
#define DIDACTYL_VERSION "v0.2.14"
#define DIDACTYL_VERSION_PATCH 16
#define DIDACTYL_VERSION "v0.2.16"
// Agent metadata
#define DIDACTYL_NAME "Didactyl"

Binary file not shown.

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@@ -0,0 +1,53 @@
{
// TEST CONFIGURATION
// Use disposable keys/accounts only.
"key": {
"nsec": "nsec1REPLACE_WITH_DISPOSABLE_TEST_NSEC"
},
"admin": {
"pubkey": "npub1REPLACE_WITH_TEST_ADMIN_PUBKEY"
},
"dm_protocol": "nip04",
"llm": {
"provider": "openai",
"api_key": "sk-REPLACE_WITH_API_KEY",
"model": "claude-haiku-4.5",
"base_url": "https://api.anthropic.com/v1",
"max_tokens": 512,
"temperature": 0.3
},
"api": {
"enabled": true,
"port": 8485,
"bind_address": "127.0.0.1"
},
"startup_events": [
{
"kind": 0,
"content_fields": {
"name": "Didactyl Test Agent",
"about": "Automated test instance"
},
"tags": []
},
{
"kind": 10002,
"content": "",
"tags": [
["r", "wss://relay.damus.io"],
["r", "wss://relay.primal.net"]
]
},
{
"kind": 31124,
"content": "# Test Agent\n\nYou are a test agent. Respond to requests and use tools when needed.",
"tags": [
["d", "identity_and_rules"],
["app", "didactyl"],
["scope", "private"],
["trigger", "dm"],
["filter", "{\"from\":\"admin\"}"]
]
}
]
}

26
tests/harness/__init__.py Normal file
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"""Didactyl automated test harness package."""
from .agent_process import AgentProcess
from .didactyl_client import (
APIError,
DidactylClient,
DidactylConnectionError,
DidactylTimeoutError,
)
from .log_watcher import LogWatcher
from .reporter import Reporter
from .test_runner import SkipTest, TestCase, TestResult, TestRunner
__all__ = [
"AgentProcess",
"APIError",
"DidactylClient",
"DidactylConnectionError",
"DidactylTimeoutError",
"LogWatcher",
"Reporter",
"SkipTest",
"TestCase",
"TestResult",
"TestRunner",
]

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from __future__ import annotations
import os
import signal
import subprocess
import time
from dataclasses import dataclass
from pathlib import Path
from typing import Optional
from .didactyl_client import DidactylClient
@dataclass
class AgentProcess:
binary_path: str
config_path: str
api_port: int = 8485
api_bind: str = "127.0.0.1"
debug_level: int = 5
log_file: Optional[str] = None
base_url: Optional[str] = None
def __post_init__(self) -> None:
self.binary_path = str(Path(self.binary_path))
self.config_path = str(Path(self.config_path))
self.log_file = self.log_file or "tests/results/agent_debug.log"
scheme = "https"
self.base_url = self.base_url or f"{scheme}://{self.api_bind}:{self.api_port}"
self.process: Optional[subprocess.Popen[str]] = None
def _command(self) -> list[str]:
return [
self.binary_path,
"--config",
self.config_path,
"--debug",
str(self.debug_level),
"--api-port",
str(self.api_port),
"--api-bind",
self.api_bind,
]
def start(self, timeout: float = 30.0) -> bool:
if self.is_alive():
return True
env = os.environ.copy()
env["DIDACTYL_LOG_FILE"] = str(self.log_file)
Path(self.log_file).parent.mkdir(parents=True, exist_ok=True)
self.process = subprocess.Popen(
self._command(),
stdout=subprocess.PIPE,
stderr=subprocess.PIPE,
text=True,
env=env,
)
client = DidactylClient(base_url=self.base_url, timeout=2.0, verify_tls=False)
deadline = time.time() + timeout
while time.time() < deadline:
if self.process and self.process.poll() is not None:
return False
try:
data = client.status()
if data.get("success"):
return True
except Exception:
pass
time.sleep(0.5)
return False
def stop(self, timeout: float = 10.0) -> bool:
if not self.process:
return True
if self.process.poll() is not None:
return True
try:
self.process.send_signal(signal.SIGTERM)
self.process.wait(timeout=timeout)
return True
except subprocess.TimeoutExpired:
self.process.kill()
self.process.wait(timeout=5)
return False
def restart(self, timeout: float = 30.0) -> bool:
self.stop()
return self.start(timeout=timeout)
def is_alive(self) -> bool:
return self.process is not None and self.process.poll() is None
def pid(self) -> Optional[int]:
return None if not self.process else self.process.pid
def return_code(self) -> Optional[int]:
return None if not self.process else self.process.poll()
def read_pipes(self) -> tuple[str, str]:
if not self.process:
return "", ""
out = ""
err = ""
if self.process.stdout:
out = self.process.stdout.read() or ""
if self.process.stderr:
err = self.process.stderr.read() or ""
return out, err

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from __future__ import annotations
import json
import ssl
import urllib.error
import urllib.parse
import urllib.request
from dataclasses import dataclass
from typing import Any, Optional
class DidactylTimeoutError(TimeoutError):
pass
class DidactylConnectionError(ConnectionError):
pass
@dataclass
class APIError(Exception):
status_code: int
body: str
def __str__(self) -> str:
return f"HTTP {self.status_code}: {self.body}"
class DidactylClient:
def __init__(self, base_url: str = "https://127.0.0.1:8485", timeout: float = 60.0, verify_tls: bool = False) -> None:
self.base_url = base_url.rstrip("/")
self.timeout = timeout
self.verify_tls = verify_tls
self.ssl_context = None
if self.base_url.startswith("https://") and not verify_tls:
self.ssl_context = ssl._create_unverified_context()
def _request(self, method: str, path: str, payload: Optional[dict[str, Any]] = None, raw_body: Optional[bytes] = None) -> dict[str, Any]:
url = f"{self.base_url}{path}"
body = raw_body
if payload is not None:
body = json.dumps(payload).encode("utf-8")
req = urllib.request.Request(url=url, method=method.upper(), data=body)
req.add_header("Content-Type", "application/json")
try:
with urllib.request.urlopen(req, timeout=self.timeout, context=self.ssl_context) as resp:
status = resp.getcode()
text = resp.read().decode("utf-8", errors="replace")
data = json.loads(text) if text.strip() else {}
if status < 200 or status >= 300:
raise APIError(status, text)
return data
except urllib.error.HTTPError as e:
text = e.read().decode("utf-8", errors="replace")
raise APIError(e.code, text) from e
except urllib.error.URLError as e:
reason = str(getattr(e, "reason", e))
if "timed out" in reason.lower():
raise DidactylTimeoutError(reason) from e
raise DidactylConnectionError(reason) from e
except TimeoutError as e:
raise DidactylTimeoutError(str(e)) from e
def status(self) -> dict[str, Any]:
return self._request("GET", "/api/status")
def context_current(self) -> dict[str, Any]:
return self._request("GET", "/api/context/current")
def context_parts(self) -> dict[str, Any]:
return self._request("GET", "/api/context/parts")
def prompt(self, message: str, max_turns: int = 4, model: Optional[str] = None) -> dict[str, Any]:
payload: dict[str, Any] = {"message": message, "max_turns": max_turns}
if model:
payload["model"] = model
return self._request("POST", "/api/prompt/agent", payload=payload)
def prompt_raw(self, messages: list[dict[str, str]], max_turns: int = 4, model: Optional[str] = None) -> dict[str, Any]:
payload: dict[str, Any] = {"messages": messages, "max_turns": max_turns}
if model:
payload["model"] = model
return self._request("POST", "/api/prompt/run", payload=payload)
def prompt_simple(self, system: str, user: str, model: Optional[str] = None) -> dict[str, Any]:
payload: dict[str, Any] = {"system": system, "user": user}
if model:
payload["model"] = model
return self._request("POST", "/api/prompt/run-simple", payload=payload)
def fire_webhook(self, d_tag: str, payload: Optional[dict[str, Any]] = None) -> dict[str, Any]:
encoded = urllib.parse.quote(d_tag, safe="")
return self._request("POST", f"/api/trigger/{encoded}", payload=payload or {})
def raw_post(self, path: str, body: bytes) -> tuple[int, str]:
url = f"{self.base_url}{path}"
req = urllib.request.Request(url=url, method="POST", data=body)
req.add_header("Content-Type", "application/json")
try:
with urllib.request.urlopen(req, timeout=self.timeout, context=self.ssl_context) as resp:
return resp.getcode(), resp.read().decode("utf-8", errors="replace")
except urllib.error.HTTPError as e:
return e.code, e.read().decode("utf-8", errors="replace")

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from __future__ import annotations
import re
import threading
import time
from pathlib import Path
from typing import Optional
class LogWatcher:
def __init__(self, log_path: str, poll_interval: float = 0.1) -> None:
self.log_path = Path(log_path)
self.poll_interval = poll_interval
self._lines: list[str] = []
self._markers: dict[str, int] = {}
self._lock = threading.Lock()
self._stop = threading.Event()
self._thread: Optional[threading.Thread] = None
def start(self) -> None:
self.log_path.parent.mkdir(parents=True, exist_ok=True)
self.log_path.touch(exist_ok=True)
self._stop.clear()
self._thread = threading.Thread(target=self._run, daemon=True)
self._thread.start()
def stop(self) -> None:
self._stop.set()
if self._thread and self._thread.is_alive():
self._thread.join(timeout=2)
def _run(self) -> None:
f = self.log_path.open("r", encoding="utf-8", errors="replace")
f.seek(0, 2)
try:
while not self._stop.is_set():
pos = f.tell()
line = f.readline()
if not line:
if self.log_path.exists() and self.log_path.stat().st_size < pos:
f.close()
f = self.log_path.open("r", encoding="utf-8", errors="replace")
time.sleep(self.poll_interval)
continue
with self._lock:
self._lines.append(line.rstrip("\n"))
finally:
f.close()
def set_marker(self, name: str) -> None:
with self._lock:
self._markers[name] = len(self._lines)
def get_lines_since(self, marker: str) -> list[str]:
with self._lock:
idx = self._markers.get(marker, 0)
return list(self._lines[idx:])
def get_all_lines(self) -> list[str]:
with self._lock:
return list(self._lines)
def search(self, pattern: str, since_marker: Optional[str] = None) -> list[str]:
regex = re.compile(pattern)
lines = self.get_all_lines() if since_marker is None else self.get_lines_since(since_marker)
return [line for line in lines if regex.search(line)]
def error_lines(self, since_marker: Optional[str] = None) -> list[str]:
lines = self.get_all_lines() if since_marker is None else self.get_lines_since(since_marker)
return [line for line in lines if "[ERROR]" in line]
def warning_lines(self, since_marker: Optional[str] = None) -> list[str]:
lines = self.get_all_lines() if since_marker is None else self.get_lines_since(since_marker)
return [line for line in lines if "[WARN" in line]
def has_errors(self, since_marker: Optional[str] = None) -> bool:
return len(self.error_lines(since_marker)) > 0

77
tests/harness/reporter.py Normal file
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from __future__ import annotations
import json
from collections import Counter
from dataclasses import asdict
from pathlib import Path
from typing import Any
from .test_runner import TestResult
class Reporter:
def __init__(self, results: list[TestResult], run_meta: dict[str, Any], output_dir: str) -> None:
self.results = results
self.run_meta = run_meta
self.output_dir = Path(output_dir)
self.output_dir.mkdir(parents=True, exist_ok=True)
def summary_counts(self) -> Counter:
return Counter(r.status for r in self.results)
def print_summary(self) -> None:
c = self.summary_counts()
total = len(self.results)
print("\n== Didactyl Test Results ==")
print(f"Run: {self.run_meta.get('run_timestamp', 'unknown')}")
print(f"Agent base URL: {self.run_meta.get('base_url', 'unknown')}")
print("")
for k in ["pass", "fail", "error", "timeout", "skip"]:
print(f"{k.capitalize():<8}: {c.get(k, 0)}")
print(f"Total : {total}")
def print_details(self) -> None:
bad = [r for r in self.results if r.status in {"fail", "error", "timeout"}]
if not bad:
return
print("\n-- Non-passing tests --")
for r in bad:
print(f"[{r.status.upper()}] {r.suite}::{r.name}")
print(f" {r.message}")
if r.agent_errors:
print(f" Agent errors: {len(r.agent_errors)}")
def write_json(self, path: str = "results.json") -> Path:
p = self.output_dir / path
payload = {
"run_meta": self.run_meta,
"results": [asdict(r) for r in self.results],
"summary": dict(self.summary_counts()),
}
p.write_text(json.dumps(payload, indent=2), encoding="utf-8")
return p
def write_text(self, path: str = "results.txt") -> Path:
p = self.output_dir / path
c = self.summary_counts()
lines = [
"== Didactyl Test Results ==",
f"Run: {self.run_meta.get('run_timestamp', 'unknown')}",
f"Agent base URL: {self.run_meta.get('base_url', 'unknown')}",
"",
f"Pass: {c.get('pass', 0)}",
f"Fail: {c.get('fail', 0)}",
f"Error: {c.get('error', 0)}",
f"Timeout: {c.get('timeout', 0)}",
f"Skip: {c.get('skip', 0)}",
f"Total: {len(self.results)}",
"",
]
for r in self.results:
lines.append(f"[{r.status.upper()}] {r.suite}::{r.name} ({r.duration_seconds:.2f}s)")
lines.append(f" {r.message}")
if r.agent_errors:
lines.append(f" Agent errors: {len(r.agent_errors)}")
lines.append("")
p.write_text("\n".join(lines), encoding="utf-8")
return p

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from __future__ import annotations
import importlib
import pkgutil
import time
from dataclasses import dataclass, field
from types import ModuleType
from typing import Any, Callable
from .agent_process import AgentProcess
from .didactyl_client import DidactylClient, DidactylTimeoutError
from .log_watcher import LogWatcher
class SkipTest(Exception):
pass
TestFn = Callable[["TestContext"], tuple[bool, str, dict[str, Any]]]
@dataclass
class TestCase:
suite: str
name: str
description: str
fn: TestFn
requires_restart: bool = False
@dataclass
class TestResult:
suite: str
name: str
status: str
message: str
duration_seconds: float
agent_errors: list[str] = field(default_factory=list)
details: dict[str, Any] = field(default_factory=dict)
@dataclass
class TestContext:
client: DidactylClient
agent: AgentProcess
log: LogWatcher
args: Any
class TestRunner:
def __init__(self, agent: AgentProcess, client: DidactylClient, log: LogWatcher, args: Any) -> None:
self.agent = agent
self.client = client
self.log = log
self.args = args
def discover_suites(self, package: str = "tests.suites") -> list[TestCase]:
mod = importlib.import_module(package)
tests: list[TestCase] = []
for info in pkgutil.iter_modules(mod.__path__):
if not info.name.startswith("test_"):
continue
if self.args.suite and info.name not in self.args.suite:
continue
module = importlib.import_module(f"{package}.{info.name}")
tests.extend(self._tests_from_module(module))
return tests
def _tests_from_module(self, module: ModuleType) -> list[TestCase]:
if not hasattr(module, "get_tests"):
return []
suite_tests = module.get_tests()
out: list[TestCase] = []
for t in suite_tests:
if self.args.test and t.name not in self.args.test:
continue
out.append(t)
return out
def run_all(self, tests: list[TestCase]) -> list[TestResult]:
results: list[TestResult] = []
ctx = TestContext(client=self.client, agent=self.agent, log=self.log, args=self.args)
for tc in tests:
marker = f"{tc.suite}.{tc.name}.{int(time.time() * 1000)}"
if tc.requires_restart:
self.agent.restart(timeout=30)
if not self.agent.is_alive():
ok = self.agent.restart(timeout=30)
if not ok:
results.append(
TestResult(
suite=tc.suite,
name=tc.name,
status="error",
message="Agent not alive and restart failed",
duration_seconds=0.0,
)
)
continue
self.log.set_marker(marker)
start = time.monotonic()
try:
passed, message, details = tc.fn(ctx)
status = "pass" if passed else "fail"
except SkipTest as e:
status = "skip"
message = str(e)
details = {}
except DidactylTimeoutError as e:
status = "timeout"
message = str(e)
details = {}
if not getattr(self.args, "no_restart", False):
self.agent.restart(timeout=30)
except Exception as e:
status = "error"
message = repr(e)
details = {}
if not self.agent.is_alive() and not getattr(self.args, "no_restart", False):
self.agent.restart(timeout=30)
duration = time.monotonic() - start
agent_errors = self.log.error_lines(marker)
results.append(
TestResult(
suite=tc.suite,
name=tc.name,
status=status,
message=message,
duration_seconds=duration,
agent_errors=agent_errors,
details=details,
)
)
if getattr(self.args, "verbose", False):
print(f"[{status.upper()}] {tc.suite}::{tc.name} - {message}")
return results

107
tests/run_tests.py Executable file
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#!/usr/bin/env python3
from __future__ import annotations
import argparse
import datetime as dt
import sys
from pathlib import Path
ROOT = Path(__file__).resolve().parent.parent
if str(ROOT) not in sys.path:
sys.path.insert(0, str(ROOT))
from tests.harness.agent_process import AgentProcess
from tests.harness.didactyl_client import DidactylClient
from tests.harness.log_watcher import LogWatcher
from tests.harness.reporter import Reporter
from tests.harness.test_runner import TestRunner
def parse_args() -> argparse.Namespace:
parser = argparse.ArgumentParser(description="Didactyl automated test harness")
parser.add_argument("--config", default="tests/configs/test_genesis.jsonc")
parser.add_argument("--binary", default="./didactyl")
parser.add_argument("--suite", action="append", help="Run only this suite (repeatable)")
parser.add_argument("--test", action="append", help="Run only this test name (repeatable)")
parser.add_argument("--api-port", type=int, default=8485)
parser.add_argument("--api-bind", default="127.0.0.1")
parser.add_argument("--timeout", type=float, default=60.0)
parser.add_argument("--debug-level", type=int, default=5)
parser.add_argument("--output-dir", default=None)
parser.add_argument("--verbose", action="store_true")
parser.add_argument("--no-restart", action="store_true")
return parser.parse_args()
def main() -> int:
args = parse_args()
run_ts = dt.datetime.now(dt.timezone.utc).strftime("%Y%m%dT%H%M%SZ")
output_dir = args.output_dir or f"tests/results/{run_ts}"
Path(output_dir).mkdir(parents=True, exist_ok=True)
binary = Path(args.binary)
if not binary.exists():
print(f"didactyl binary not found: {binary}")
return 2
config = Path(args.config)
if not config.exists():
print(f"config not found: {config}")
return 2
log_file = str(Path(output_dir) / "agent_debug.log")
base_url = f"https://{args.api_bind}:{args.api_port}"
agent = AgentProcess(
binary_path=str(binary),
config_path=str(config),
api_port=args.api_port,
api_bind=args.api_bind,
debug_level=args.debug_level,
log_file=log_file,
base_url=base_url,
)
client = DidactylClient(base_url=base_url, timeout=args.timeout, verify_tls=False)
log = LogWatcher(log_file)
log.start()
started = agent.start(timeout=30)
if not started:
print("Failed to start Didactyl agent")
log.stop()
return 1
try:
runner = TestRunner(agent=agent, client=client, log=log, args=args)
tests = runner.discover_suites("tests.suites")
if not tests:
print("No tests discovered")
return 3
results = runner.run_all(tests)
run_meta = {
"run_timestamp": dt.datetime.now(dt.timezone.utc).isoformat(),
"base_url": base_url,
"config": str(config),
"binary": str(binary),
"test_count": len(results),
}
reporter = Reporter(results=results, run_meta=run_meta, output_dir=output_dir)
reporter.print_summary()
reporter.print_details()
json_path = reporter.write_json("results.json")
txt_path = reporter.write_text("results.txt")
print(f"\nWrote: {json_path}")
print(f"Wrote: {txt_path}")
bad = [r for r in results if r.status in {"fail", "error", "timeout"}]
return 1 if bad else 0
finally:
agent.stop(timeout=10)
log.stop()
if __name__ == "__main__":
raise SystemExit(main())

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tests/suites/common.py Normal file
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from __future__ import annotations
from typing import Any
from tests.harness.test_runner import TestCase, TestContext
def assert_success(resp: dict[str, Any]) -> None:
assert isinstance(resp, dict), "response must be dict"
assert resp.get("success") is True, f"expected success=true, got: {resp}"
def turns_tool_names(resp: dict[str, Any]) -> list[str]:
names: list[str] = []
for turn in resp.get("turns", []) or []:
for tc in turn.get("tool_calls", []) or []:
name = tc.get("name")
if isinstance(name, str):
names.append(name)
return names
def simple_prompt_test(suite: str, name: str, description: str, prompt: str, expected_tool: str | None = None) -> TestCase:
def _run(ctx: TestContext):
resp = ctx.client.prompt(prompt, max_turns=6)
assert_success(resp)
final_response = str(resp.get("final_response", "")).strip()
assert final_response, "final_response is empty"
tools = turns_tool_names(resp)
if expected_tool:
assert expected_tool in tools, f"expected tool {expected_tool}, got {tools}"
return True, "ok", {"tool_calls": tools, "final_response": final_response[:200]}
return TestCase(suite=suite, name=name, description=description, fn=_run)

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from __future__ import annotations
from tests.harness.test_runner import TestCase
from .common import assert_success
SUITE = "test_conversation"
def _simple_greeting(ctx):
resp = ctx.client.prompt("Hello, what is your name?", max_turns=4)
assert_success(resp)
text = str(resp.get("final_response", "")).strip()
assert text, "empty final_response"
return True, "greeting response ok", {"response": text[:200]}
def _self_description(ctx):
resp = ctx.client.prompt("What are you? Describe yourself briefly.", max_turns=4)
assert_success(resp)
text = str(resp.get("final_response", "")).lower()
assert text, "empty final_response"
assert any(token in text for token in ["didactyl", "agent", "nostr"]), "response missing expected identity terms"
return True, "self description ok", {"response": text[:200]}
def _empty_message(ctx):
resp = ctx.client.prompt("", max_turns=2)
assert isinstance(resp, dict), "response should be JSON object"
return True, "empty message handled", {"success": resp.get("success")}
def _long_message(ctx):
long_msg = "A" * 10000
resp = ctx.client.prompt(long_msg, max_turns=4)
assert isinstance(resp, dict), "response should be JSON object"
return True, "long message handled", {"success": resp.get("success")}
def get_tests():
return [
TestCase(SUITE, "simple_greeting", "Simple hello prompt", _simple_greeting),
TestCase(SUITE, "agent_responds_about_itself", "Agent self description", _self_description),
TestCase(SUITE, "empty_message_handling", "Empty message behavior", _empty_message),
TestCase(SUITE, "very_long_message", "Very long input behavior", _long_message),
]

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from __future__ import annotations
from tests.harness.test_runner import TestCase
SUITE = "test_errors"
def _invalid_json(ctx):
code, body = ctx.client.raw_post("/api/prompt/agent", b"{not json")
assert code == 400, f"expected 400, got {code} body={body}"
return True, "invalid json rejected", {"status": code}
def _missing_message(ctx):
code, body = ctx.client.raw_post("/api/prompt/agent", b"{}")
assert code == 400, f"expected 400, got {code} body={body}"
return True, "missing message rejected", {"status": code}
def _unknown_endpoint(ctx):
code, _body = ctx.client.raw_post("/api/nonexistent", b"{}")
assert code == 404, f"expected 404, got {code}"
return True, "unknown endpoint 404", {"status": code}
def _webhook_nonexistent(ctx):
code, _body = ctx.client.raw_post("/api/trigger/nonexistent-dtag", b"{}")
assert code == 404, f"expected 404, got {code}"
return True, "nonexistent d_tag 404", {"status": code}
def get_tests():
return [
TestCase(SUITE, "invalid_json_body", "Malformed JSON rejected", _invalid_json),
TestCase(SUITE, "missing_message_field", "Missing message field rejected", _missing_message),
TestCase(SUITE, "unknown_endpoint", "Unknown endpoint returns 404", _unknown_endpoint),
TestCase(SUITE, "webhook_nonexistent_dtag", "Unknown webhook dtag returns 404", _webhook_nonexistent),
]

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from __future__ import annotations
from tests.harness.test_runner import TestCase
from .common import assert_success
SUITE = "test_health"
def _status_returns_200(ctx):
resp = ctx.client.status()
assert_success(resp)
return True, "status success", {"keys": list(resp.keys())}
def _status_has_fields(ctx):
resp = ctx.client.status()
for key in ["name", "version", "pubkey", "relay_count"]:
assert key in resp, f"missing field: {key}"
return True, "required fields present", {}
def _context_current(ctx):
resp = ctx.client.context_current()
assert_success(resp)
msgs = resp.get("messages", [])
assert isinstance(msgs, list), "messages must be a list"
assert resp.get("total_chars", 0) >= 0, "missing/invalid total_chars"
return True, "context current ok", {"message_count": len(msgs)}
def _context_parts(ctx):
resp = ctx.client.context_parts()
assert_success(resp)
parts = resp.get("parts", [])
names = [p.get("name") for p in parts if isinstance(p, dict)]
assert "system_prompt" in names, "system_prompt part missing"
return True, "context parts ok", {"parts": names}
def get_tests():
return [
TestCase(SUITE, "status_returns_200", "GET /api/status success", _status_returns_200),
TestCase(SUITE, "status_has_fields", "GET /api/status has required fields", _status_has_fields),
TestCase(SUITE, "context_current_returns_messages", "GET /api/context/current has messages", _context_current),
TestCase(SUITE, "context_parts_has_system_prompt", "GET /api/context/parts has system_prompt", _context_parts),
]

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from __future__ import annotations
from tests.harness.test_runner import TestCase
SUITE = "test_restart"
def _clean_restart(ctx):
ok = ctx.agent.restart(timeout=30)
assert ok, "restart failed"
resp = ctx.client.status()
assert resp.get("success") is True
return True, "restart succeeded", {}
def _status_after_restart(ctx):
before = ctx.client.status()
assert before.get("success") is True
ok = ctx.agent.restart(timeout=30)
assert ok, "restart failed"
after = ctx.client.status()
assert after.get("success") is True
assert before.get("pubkey") == after.get("pubkey"), "pubkey changed after restart"
return True, "status stable after restart", {"pubkey": after.get("pubkey")}
def _conversation_after_restart(ctx):
ok = ctx.agent.restart(timeout=30)
assert ok, "restart failed"
resp = ctx.client.prompt("After restart, say hello.", max_turns=3)
assert resp.get("success") is True
assert str(resp.get("final_response", "")).strip(), "empty final response"
return True, "conversation works post-restart", {}
def get_tests():
return [
TestCase(SUITE, "clean_restart", "Stop/start restart", _clean_restart, requires_restart=True),
TestCase(SUITE, "status_after_restart", "Status stable after restart", _status_after_restart),
TestCase(SUITE, "conversation_after_restart", "Prompt after restart", _conversation_after_restart),
]

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from __future__ import annotations
import time
from tests.harness.test_runner import TestCase
SUITE = "test_timeouts"
def _response_within_timeout(ctx):
start = time.monotonic()
resp = ctx.client.prompt("Say hello in one sentence.", max_turns=2)
elapsed = time.monotonic() - start
assert isinstance(resp, dict)
assert elapsed <= float(ctx.args.timeout), f"response exceeded timeout {ctx.args.timeout}s"
return True, "response within timeout", {"elapsed": elapsed}
def _status_fast(ctx):
start = time.monotonic()
resp = ctx.client.status()
elapsed = time.monotonic() - start
assert resp.get("success") is True
assert elapsed <= 2.0, f"status too slow: {elapsed}s"
return True, "status fast", {"elapsed": elapsed}
def _context_fast(ctx):
start = time.monotonic()
resp = ctx.client.context_current()
elapsed = time.monotonic() - start
assert resp.get("success") is True
assert elapsed <= 5.0, f"context too slow: {elapsed}s"
return True, "context fast", {"elapsed": elapsed}
def get_tests():
return [
TestCase(SUITE, "response_within_timeout", "Prompt response within timeout", _response_within_timeout),
TestCase(SUITE, "status_responds_fast", "Status endpoint latency", _status_fast),
TestCase(SUITE, "context_responds_fast", "Context endpoint latency", _context_fast),
]

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from .common import simple_prompt_test
SUITE = "test_tools_blossom"
def get_tests():
return [
simple_prompt_test(SUITE, "blossom_list", "Blossom list", "List your blossom blobs", "blossom_list"),
]

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from .common import simple_prompt_test
SUITE = "test_tools_cashu"
def get_tests():
return [
simple_prompt_test(SUITE, "wallet_balance", "Wallet balance", "Check your cashu wallet balance", "cashu_wallet_balance"),
]

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from .common import simple_prompt_test
SUITE = "test_tools_identity"
def get_tests():
return [
simple_prompt_test(SUITE, "get_pubkey", "Fetch hex pubkey", "What is your public key in hex?", "nostr_pubkey"),
simple_prompt_test(SUITE, "get_npub", "Fetch npub", "What is your npub?", "nostr_npub"),
simple_prompt_test(SUITE, "agent_identity", "Agent identity tool", "Tell me about your identity", "agent_identity"),
simple_prompt_test(SUITE, "agent_version", "Agent version tool", "What version are you?", "agent_version"),
simple_prompt_test(SUITE, "admin_identity", "Admin identity tool", "Who is your administrator?", "admin_identity"),
]

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from .common import simple_prompt_test
SUITE = "test_tools_memory"
def get_tests():
return [
simple_prompt_test(SUITE, "task_list", "Task list", "Show me your current task list", "task_list"),
simple_prompt_test(
SUITE,
"task_manage_add_remove",
"Task add/remove",
"Add a task test harness probe task then remove it",
"task_manage",
),
simple_prompt_test(
SUITE,
"memory_save_recall",
"Save and recall memory",
"Save test harness probe to memory, then recall your memory",
"memory_save",
),
]

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from .common import simple_prompt_test
SUITE = "test_tools_nostr"
def get_tests():
return [
simple_prompt_test(SUITE, "nostr_post_kind1", "Post kind1 note", "Post a test note saying Automated test post", "nostr_post"),
simple_prompt_test(SUITE, "nostr_query_recent", "Query recent notes", "Query the 3 most recent kind 1 notes from any author", "nostr_query"),
simple_prompt_test(SUITE, "nostr_my_events", "List my events", "List your recent events", "nostr_my_events"),
simple_prompt_test(SUITE, "nostr_relay_status", "Relay status", "What is the status of your relay connections?", "nostr_relay_status"),
simple_prompt_test(SUITE, "nostr_dm_send", "Send DM", "Send a test DM to yourself", "nostr_dm_send"),
simple_prompt_test(SUITE, "nostr_encode_npub", "Encode npub", "Encode your pubkey as an npub", "nostr_encode"),
simple_prompt_test(SUITE, "nostr_profile_get", "Profile lookup", "Look up your own Nostr profile", "nostr_profile_get"),
]

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from .common import simple_prompt_test
SUITE = "test_tools_skills"
def get_tests():
return [
simple_prompt_test(SUITE, "skill_list", "List skills", "List your available skills", "skill_list"),
simple_prompt_test(SUITE, "trigger_list", "List triggers", "List your active triggers", "trigger_list"),
simple_prompt_test(
SUITE,
"skill_create_and_remove",
"Create and remove skill",
"Create a test skill called test-harness-probe with content Test skill then remove it",
"skill_create",
),
]

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from .common import simple_prompt_test
SUITE = "test_tools_system"
def get_tests():
return [
simple_prompt_test(SUITE, "tool_list", "Tool list", "List all your available tools", "tool_list"),
simple_prompt_test(SUITE, "model_get", "Current model", "What model are you currently using?", "model_get"),
simple_prompt_test(SUITE, "model_list", "Available models", "List available models", "model_list"),
simple_prompt_test(SUITE, "local_http_fetch", "HTTP fetch", "Fetch https://httpbin.org/get", "local_http_fetch"),
simple_prompt_test(
SUITE,
"config_store_recall",
"Store+recall config",
"Store a test config with d_tag test_harness_probe containing hello, then recall it",
"config_store",
),
]