feat(skills): expand phone-calls into optional telephony skill

Follow up on salvaged PR #965 by moving the capability into optional-skills
and broadening it from outbound AI calling to a full telephony skill. Add
Twilio number provisioning, env/state persistence, SMS/MMS, inbound SMS
polling, Vapi import helpers, and a provider decision tree while keeping
telephony out of core runtime code.
This commit is contained in:
teknium1 2026-03-14 04:01:31 -07:00
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---
name: telephony
description: Give Hermes phone capabilities without core tool changes. Provision and persist a Twilio number, send and receive SMS/MMS, make direct calls, and place AI-driven outbound calls through Bland.ai or Vapi.
version: 1.0.0
author: Nous Research
license: MIT
metadata:
hermes:
tags: [telephony, phone, sms, mms, voice, twilio, bland.ai, vapi, calling, texting]
related_skills: [find-nearby, google-workspace, agentmail]
category: productivity
---
# Telephony — Numbers, Calls, and Texts without Core Tool Changes
This optional skill gives Hermes practical phone capabilities while keeping telephony out of the core tool list.
It ships with a helper script, `scripts/telephony.py`, that can:
- save provider credentials into `~/.hermes/.env`
- search for and buy a Twilio phone number
- remember that owned number for later sessions
- send SMS / MMS from the owned number
- poll inbound SMS for that number with no webhook server required
- make direct Twilio calls using TwiML `<Say>` or `<Play>`
- import the owned Twilio number into Vapi
- place outbound AI calls through Bland.ai or Vapi
## What this solves
This skill is meant to cover the practical phone tasks users actually want:
- outbound calls
- texting
- owning a reusable agent number
- checking messages that arrive to that number later
- preserving that number and related IDs between sessions
- future-friendly telephony identity for inbound SMS polling and other automations
It does **not** turn Hermes into a real-time inbound phone gateway. Inbound SMS is handled by polling the Twilio REST API. That is enough for many workflows, including notifications and some one-time-code retrieval, without adding core webhook infrastructure.
## Safety rules — mandatory
1. Always confirm before placing a call or sending a text.
2. Never dial emergency numbers.
3. Never use telephony for harassment, spam, impersonation, or anything illegal.
4. Treat third-party phone numbers as sensitive operational data:
- do not save them to Hermes memory
- do not include them in skill docs, summaries, or follow-up notes unless the user explicitly wants that
5. It is fine to persist the **agent-owned Twilio number** because that is part of the user's configuration.
6. VoIP numbers are **not guaranteed** to work for all third-party 2FA flows. Use with caution and set user expectations clearly.
## Decision tree — which service to use?
Use this logic instead of hardcoded provider routing:
### 1) "I want Hermes to own a real phone number"
Use **Twilio**.
Why:
- easiest path to buying and keeping a number
- best SMS / MMS support
- simplest inbound SMS polling story
- cleanest future path to inbound webhooks or call handling
Use cases:
- receive texts later
- send deployment alerts / cron notifications
- maintain a reusable phone identity for the agent
- experiment with phone-based auth flows later
### 2) "I only need the easiest outbound AI phone call right now"
Use **Bland.ai**.
Why:
- quickest setup
- one API key
- no need to first buy/import a number yourself
Tradeoff:
- less flexible
- voice quality is decent, but not the best
### 3) "I want the best conversational AI voice quality"
Use **Twilio + Vapi**.
Why:
- Twilio gives you the owned number
- Vapi gives you better conversational AI call quality and more voice/model flexibility
Recommended flow:
1. Buy/save a Twilio number
2. Import it into Vapi
3. Save the returned `VAPI_PHONE_NUMBER_ID`
4. Use `ai-call --provider vapi`
### 4) "I want to call with a custom prerecorded voice message"
Use **Twilio direct call** with a public audio URL.
Why:
- easiest way to play a custom MP3
- pairs well with Hermes `text_to_speech` plus a public file host or tunnel
## Files and persistent state
The skill persists telephony state in two places:
### `~/.hermes/.env`
Used for long-lived provider credentials and owned-number IDs, for example:
- `TWILIO_ACCOUNT_SID`
- `TWILIO_AUTH_TOKEN`
- `TWILIO_PHONE_NUMBER`
- `TWILIO_PHONE_NUMBER_SID`
- `BLAND_API_KEY`
- `VAPI_API_KEY`
- `VAPI_PHONE_NUMBER_ID`
- `PHONE_PROVIDER` (AI call provider: bland or vapi)
### `~/.hermes/telephony_state.json`
Used for skill-only state that should survive across sessions, for example:
- remembered default Twilio number / SID
- remembered Vapi phone number ID
- last inbound message SID/date for inbox polling checkpoints
This means:
- the next time the skill is loaded, `diagnose` can tell you what number is already configured
- `twilio-inbox --since-last --mark-seen` can continue from the previous checkpoint
## Locate the helper script
After installing this skill, locate the script like this:
```bash
SCRIPT="$(find ~/.hermes/skills -path '*/telephony/scripts/telephony.py' -print -quit)"
```
If `SCRIPT` is empty, the skill is not installed yet.
## Install
This is an official optional skill, so install it from the Skills Hub:
```bash
hermes skills search telephony
hermes skills install official/productivity/telephony
```
## Provider setup
### Twilio — owned number, SMS/MMS, direct calls, inbound SMS polling
Sign up at:
- https://www.twilio.com/try-twilio
Then save credentials into Hermes:
```bash
python3 "$SCRIPT" save-twilio ACXXXXXXXXXXXXXXXXXXXXXXXXXXXX your_auth_token_here
```
Search for available numbers:
```bash
python3 "$SCRIPT" twilio-search --country US --area-code 702 --limit 5
```
Buy and remember a number:
```bash
python3 "$SCRIPT" twilio-buy "+17025551234" --save-env
```
List owned numbers:
```bash
python3 "$SCRIPT" twilio-owned
```
Set one of them as the default later:
```bash
python3 "$SCRIPT" twilio-set-default "+17025551234" --save-env
# or
python3 "$SCRIPT" twilio-set-default PNXXXXXXXXXXXXXXXXXXXXXXXXXXXX --save-env
```
### Bland.ai — easiest outbound AI calling
Sign up at:
- https://app.bland.ai
Save config:
```bash
python3 "$SCRIPT" save-bland your_bland_api_key --voice mason
```
### Vapi — better conversational voice quality
Sign up at:
- https://dashboard.vapi.ai
Save the API key first:
```bash
python3 "$SCRIPT" save-vapi your_vapi_api_key
```
Import your owned Twilio number into Vapi and persist the returned phone number ID:
```bash
python3 "$SCRIPT" vapi-import-twilio --save-env
```
If you already know the Vapi phone number ID, save it directly:
```bash
python3 "$SCRIPT" save-vapi your_vapi_api_key --phone-number-id vapi_phone_number_id_here
```
## Diagnose current state
At any time, inspect what the skill already knows:
```bash
python3 "$SCRIPT" diagnose
```
Use this first when resuming work in a later session.
## Common workflows
### A. Buy an agent number and keep using it later
1. Save Twilio credentials:
```bash
python3 "$SCRIPT" save-twilio AC... auth_token_here
```
2. Search for a number:
```bash
python3 "$SCRIPT" twilio-search --country US --area-code 702 --limit 10
```
3. Buy it and save it into `~/.hermes/.env` + state:
```bash
python3 "$SCRIPT" twilio-buy "+17025551234" --save-env
```
4. Next session, run:
```bash
python3 "$SCRIPT" diagnose
```
This shows the remembered default number and inbox checkpoint state.
### B. Send a text from the agent number
```bash
python3 "$SCRIPT" twilio-send-sms "+15551230000" "Your deployment completed successfully."
```
With media:
```bash
python3 "$SCRIPT" twilio-send-sms "+15551230000" "Here is the chart." --media-url "https://example.com/chart.png"
```
### C. Check inbound texts later with no webhook server
Poll the inbox for the default Twilio number:
```bash
python3 "$SCRIPT" twilio-inbox --limit 20
```
Only show messages that arrived after the last checkpoint, and advance the checkpoint when you're done reading:
```bash
python3 "$SCRIPT" twilio-inbox --since-last --mark-seen
```
This is the main answer to “how do I access messages the number receives next time the skill is loaded?”
### D. Make a direct Twilio call with built-in TTS
```bash
python3 "$SCRIPT" twilio-call "+15551230000" --message "Hello! This is Hermes calling with your status update." --voice Polly.Joanna
```
### E. Call with a prerecorded / custom voice message
Generate or host audio separately, then:
```bash
python3 "$SCRIPT" twilio-call "+15551230000" --audio-url "https://example.com/briefing.mp3"
```
Useful pairing:
- use Hermes `text_to_speech` to generate the MP3
- make it publicly reachable
- then place the call with `--audio-url`
### F. Navigate a phone tree / IVR with Twilio direct calling
If you need to press digits after the call connects, use `--send-digits`.
Twilio interprets `w` as a short wait.
```bash
python3 "$SCRIPT" twilio-call "+18005551234" --message "Connecting to billing now." --send-digits "ww1w2w3"
```
This is useful for reaching a specific menu branch before handing off to a human or delivering a short status message.
### G. Outbound AI phone call with Bland.ai
```bash
python3 "$SCRIPT" ai-call "+15551230000" "Call the dental office, ask for a cleaning appointment on Tuesday afternoon, and if they do not have Tuesday availability, ask for Wednesday or Thursday instead." --provider bland --voice mason --max-duration 3
```
Check status:
```bash
python3 "$SCRIPT" ai-status <call_id> --provider bland
```
Ask Bland analysis questions after completion:
```bash
python3 "$SCRIPT" ai-status <call_id> --provider bland --analyze "Was the appointment confirmed?,What date and time?,Any special instructions?"
```
### H. Outbound AI phone call with Vapi on your owned number
1. Import your Twilio number into Vapi:
```bash
python3 "$SCRIPT" vapi-import-twilio --save-env
```
2. Place the call:
```bash
python3 "$SCRIPT" ai-call "+15551230000" "You are calling to make a dinner reservation for two at 7:30 PM. If that is unavailable, ask for the nearest time between 6:30 and 8:30 PM." --provider vapi --max-duration 4
```
3. Check result:
```bash
python3 "$SCRIPT" ai-status <call_id> --provider vapi
```
## Suggested agent procedure
When the user asks for a call or text:
1. Determine which path fits the request via the decision tree.
2. Run `diagnose` if configuration state is unclear.
3. Gather the full task details.
4. Confirm with the user before dialing or texting.
5. Use the correct command.
6. Poll for results if needed.
7. Summarize the outcome without persisting third-party numbers to Hermes memory.
## What this skill still does not do
- real-time inbound call answering
- webhook-based live SMS push into the agent loop
- guaranteed support for arbitrary third-party 2FA providers
Those would require more infrastructure than a pure optional skill.
## Pitfalls
- Twilio trial accounts and regional rules can restrict who you can call/text.
- Some services reject VoIP numbers for 2FA.
- `twilio-inbox` polls the REST API; it is not instant push delivery.
- Vapi outbound calling still depends on having a valid imported number.
- Bland is easiest, but not always the best-sounding.
- Do not store arbitrary third-party phone numbers in Hermes memory.
## Verification checklist
After setup, you should be able to do all of the following with just this skill:
1. `diagnose` shows provider readiness and remembered state
2. search and buy a Twilio number
3. persist that number to `~/.hermes/.env`
4. send an SMS from the owned number
5. poll inbound texts for the owned number later
6. place a direct Twilio call
7. place an AI call via Bland or Vapi
## References
- Twilio phone numbers: https://www.twilio.com/docs/phone-numbers/api
- Twilio messaging: https://www.twilio.com/docs/messaging/api/message-resource
- Twilio voice: https://www.twilio.com/docs/voice/api/call-resource
- Vapi docs: https://docs.vapi.ai/
- Bland.ai: https://app.bland.ai/

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---
name: phone-calls
description: Make outbound phone calls on the user's behalf using AI voice agents (Bland.ai or Vapi). Schedule appointments, make reservations, or deliver messages via realistic voice calls. Always confirm with user before dialing.
version: 2.0.0
author: NousResearch
license: MIT
metadata:
hermes:
tags: [phone, calling, voice, appointments, scheduling, bland.ai, vapi, elevenlabs, twilio, telephony]
related_skills: [google-workspace, find-nearby]
---
# Phone Calls — AI Voice Agent
Make outbound phone calls on the user's behalf using AI voice agents. Uses the `phone_call.py` helper script (in this skill's `scripts/` directory) to call Bland.ai or Vapi APIs.
## When to Use
- User asks you to **call someone** (schedule appointment, make reservation, leave message)
- User asks to **schedule an appointment** (dentist, doctor, haircut, etc.)
- User asks to **make a reservation** (restaurant, hotel, etc.)
- User says "call", "phone", "ring", "dial", or mentions making a phone call
## Safety Rules — MANDATORY
1. **ALWAYS confirm with the user before making any call.** Show them:
- The phone number you're about to call
- A summary of what the AI will say/do
- The voice and max duration
2. **Never call emergency numbers** (911, 112, 999, etc.)
3. **Only share user info they've explicitly authorized** (check memory/user profile)
4. **Never make calls with hostile, harassing, or offensive content**
5. **Phone number privacy:**
- All phone numbers (except the user's own stored number) are SENSITIVE — never save to memory, never persist in session summaries or skills
- Always mask numbers in responses: show last 4 digits only (e.g. "Called ***-***-1234")
- The user's own number may only be shared with businesses during appointment booking when they need a callback/contact number — never in any other context
- When confirming a call with the user, you may show the full number in the confirmation prompt, but mask it in all subsequent messages and summaries
## Providers
### Bland.ai (default — start here)
- All-in-one platform, simplest setup, one API key and you're calling
- Needs only `BLAND_API_KEY` env var
- Sign up free at https://app.bland.ai (~$2 trial credit)
- Voices: mason, josh, ryan, matt (male); evelyn, tina, june (female)
- ~$0.07-0.12/min
- Downside: voice quality is decent but noticeably robotic
### Vapi (upgrade — better voices)
- Flexible platform: plug in any voice (ElevenLabs, Deepgram, PlayHT, Cartesia) and any LLM
- Much more natural-sounding than Bland
- Requires a Twilio number for outbound calls (Vapi's free numbers are inbound-only)
- Setup:
1. Sign up at https://dashboard.vapi.ai ($10 free credit)
2. Sign up at https://twilio.com ($15 free credit)
3. Buy a Twilio number (~$1/mo)
4. Import it into Vapi (needs Twilio Account SID + Auth Token)
5. Set `VAPI_API_KEY` and `VAPI_PHONE_NUMBER_ID`
- ~$0.10-0.25/min depending on voice/LLM choices
- If the user wants to upgrade from Bland, walk them through Twilio setup
## Helper Script
The script at `scripts/phone_call.py` handles all API calls. It uses only Python stdlib (no pip dependencies). Run it via `terminal` or `execute_code`.
```bash
# Locate the script
SCRIPT="$(find ~/.hermes/skills -path '*/phone-calls/scripts/phone_call.py' -print -quit)"
# Make a call
python3 "$SCRIPT" call "+15551234567" "Schedule a cleaning for Tuesday afternoon" --voice mason
# Check call result
python3 "$SCRIPT" status <call_id>
# Check call result with analysis questions (Bland only)
python3 "$SCRIPT" status <call_id> --analyze "Was appointment confirmed?,What time?"
# Check configuration
python3 "$SCRIPT" diagnose
```
## Configuration
Set via env vars (preferred) or `~/.hermes/config.yaml` under the `phone:` key. Env vars take priority.
**Bland.ai (quick start):**
```
BLAND_API_KEY=org_xxx
BLAND_DEFAULT_VOICE=mason # optional
```
**Vapi:**
```
PHONE_PROVIDER=vapi
VAPI_API_KEY=xxx-xxx
VAPI_PHONE_NUMBER_ID=xxx-xxx
VAPI_VOICE_PROVIDER=11labs # optional (default: 11labs)
VAPI_VOICE_ID=cjVigY5... # optional (default: ElevenLabs "Eric")
VAPI_MODEL=gpt-4o # optional
```
**config.yaml alternative:**
```yaml
phone:
provider: bland # or "vapi"
bland:
api_key: org_xxx
default_voice: mason
vapi:
api_key: xxx-xxx
phone_number_id: xxx-xxx
default_voice_provider: 11labs
default_voice_id: cjVigY5qzO86Huf0OWal
model: gpt-4o
```
## Procedure
### Step 0: First-time setup (only once)
Run `diagnose` to check if a provider is configured:
```bash
python3 "$SCRIPT" diagnose
```
If not configured, ask the user to choose a provider and set the env vars or config.
### Step 1: Gather call details
Collect from the user:
- **Who to call**: Name and phone number (look up if needed)
- **Purpose**: What should the AI say/accomplish
- **User info to share**: Name, preferences, insurance, etc.
- **Constraints**: Preferred times, budget, special requests
### Step 2: Craft the task prompt
Write the task like you're briefing a human assistant. Include:
- All necessary details (names, dates, preferences)
- Fallback options ("if Tuesday isn't available, try Wednesday")
- Boundaries on what info to share
- A natural first sentence
**Name pronunciation**: If the user's name has a non-obvious pronunciation, spell it phonetically in the task prompt (e.g., "Morganne" for Morgane).
### Step 3: Confirm with user
Present a summary and wait for explicit approval:
```
I'm ready to call:
Number: +1 (555) 123-4567 (Dr. Smith's Dental Office)
Purpose: Schedule a cleaning, Tuesday afternoon preferred
Voice: mason (male)
Max: 3 minutes
Shall I go ahead?
```
### Step 4: Make the call
```bash
python3 "$SCRIPT" call "+15551234567" "You are calling Dr. Smith's Dental Office on behalf of Morganne. Schedule a dental cleaning for Tuesday afternoon. If Tuesday is not available, try Wednesday or Thursday. Morganne's phone number for callbacks is +14385551234." --voice mason --max-duration 3
```
### Step 5: Get results
Wait 60-90 seconds, then check the status:
```bash
python3 "$SCRIPT" status <call_id>
```
If the call is still in progress, wait and try again. Once completed, present a summary:
- Was the objective accomplished?
- Key details (date, time, location, confirmations)
- Any follow-up needed
For Bland.ai, you can also ask structured analysis questions:
```bash
python3 "$SCRIPT" status <call_id> --analyze "Was the appointment confirmed?,What date and time?,Any special instructions?"
```
## Importing a Twilio Number into Vapi
For Vapi outbound calls, you need to import a Twilio number:
1. Sign up at https://www.twilio.com/try-twilio
2. Buy a phone number in the Twilio console
3. Copy your Account SID and Auth Token from Account > API keys & tokens
4. Import into Vapi:
```bash
curl -X POST https://api.vapi.ai/phone-number \
-H "Authorization: Bearer $VAPI_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"provider": "twilio",
"number": "+1XXXXXXXXXX",
"twilioAccountSid": "AC...",
"twilioAuthToken": "..."
}'
```
5. Use the returned `id` as `VAPI_PHONE_NUMBER_ID`
## Pitfalls
- **No pip dependencies needed**: The script uses only Python stdlib (`urllib`)
- **Call goes to voicemail**: Check `answered_by` field in status results
- **"Terrible voice"**: Switch from Bland to Vapi with ElevenLabs voices for much better quality
- **Vapi free numbers can't make outbound calls**: You must import a Twilio number
- **Vapi free numbers can't call international**: Canadian numbers count as international from US numbers
- **Name pronunciation**: ElevenLabs ignores phonetic hyphens — spell names literally as they should be pronounced
- **Transcript not ready**: Poll status a few times with 30-60s delays between attempts

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#!/usr/bin/env python3
"""Phone Call CLI — Make and check outbound AI voice calls.
Usage:
python3 phone_call.py call <phone_number> <task> [--voice NAME] [--first-sentence TEXT] [--max-duration MIN]
python3 phone_call.py status <call_id> [--analyze "question1,question2"]
python3 phone_call.py diagnose
Providers:
Bland.ai (default): set BLAND_API_KEY env var
Vapi: set VAPI_API_KEY + VAPI_PHONE_NUMBER_ID env vars
and PHONE_PROVIDER=vapi
Configuration via env vars:
PHONE_PROVIDER "bland" (default) or "vapi"
BLAND_API_KEY Bland.ai organization key
BLAND_DEFAULT_VOICE Bland voice name (default: mason)
VAPI_API_KEY Vapi private key
VAPI_PHONE_NUMBER_ID Vapi phone number ID (imported Twilio number)
VAPI_VOICE_PROVIDER Voice provider for Vapi (default: 11labs)
VAPI_VOICE_ID Voice ID for Vapi (default: ElevenLabs "Eric")
VAPI_MODEL LLM model for Vapi assistant (default: gpt-4o)
Or via ~/.hermes/config.yaml under the 'phone:' key (env vars take priority).
Examples:
# Make a call with Bland.ai
BLAND_API_KEY=org_xxx python3 phone_call.py call "+15551234567" "Schedule a cleaning for Tuesday afternoon"
# Check call result
python3 phone_call.py status abc-123-def
# Check config
python3 phone_call.py diagnose
"""
import json
import os
import sys
import urllib.error
import urllib.request
# ---------------------------------------------------------------------------
# Defaults
# ---------------------------------------------------------------------------
BLAND_API_BASE = "https://api.bland.ai/v1"
BLAND_DEFAULT_VOICE = "mason"
BLAND_DEFAULT_MODEL = "enhanced"
BLAND_VOICES = {
"mason": "Male, natural, friendly (recommended)",
"josh": "Male, conversational",
"ryan": "Male, professional",
"matt": "Male, casual",
"evelyn": "Female, natural, warm (recommended)",
"tina": "Female, warm, friendly",
"june": "Female, conversational",
}
VAPI_API_BASE = "https://api.vapi.ai"
VAPI_DEFAULT_VOICE_PROVIDER = "11labs"
VAPI_DEFAULT_VOICE_ID = "cjVigY5qzO86Huf0OWal" # ElevenLabs "Eric"
VAPI_DEFAULT_MODEL = "gpt-4o"
# ---------------------------------------------------------------------------
# Config loading
# ---------------------------------------------------------------------------
def _load_config() -> dict:
"""Load phone config from ~/.hermes/config.yaml, falling back to {}."""
config_path = os.path.expanduser("~/.hermes/config.yaml")
if not os.path.exists(config_path):
return {}
try:
import yaml # optional dependency
with open(config_path, "r") as f:
cfg = yaml.safe_load(f) or {}
return cfg.get("phone", {})
except ImportError:
return {}
except Exception:
return {}
def _env_or_config(env_key: str, config_path: list, default: str = "") -> str:
"""Get a value from env var first, then config.yaml, then default."""
val = os.environ.get(env_key, "")
if val:
return val
cfg = _load_config()
for key in config_path:
if isinstance(cfg, dict):
cfg = cfg.get(key, {})
else:
return default
return str(cfg) if cfg and not isinstance(cfg, dict) else default
def _get_provider() -> str:
return _env_or_config("PHONE_PROVIDER", ["provider"], "bland").lower().strip()
# ---------------------------------------------------------------------------
# HTTP helper (stdlib only — no requests dependency)
# ---------------------------------------------------------------------------
def _http(method: str, url: str, headers: dict, data: dict | None = None) -> dict:
"""Make an HTTP request and return parsed JSON."""
body = json.dumps(data).encode() if data else None
req = urllib.request.Request(url, data=body, headers=headers, method=method)
try:
with urllib.request.urlopen(req, timeout=30) as resp:
return json.loads(resp.read().decode())
except urllib.error.HTTPError as e:
err_body = e.read().decode() if e.fp else ""
print(f"HTTP {e.code}: {e.reason}", file=sys.stderr)
if err_body:
print(err_body, file=sys.stderr)
sys.exit(1)
except urllib.error.URLError as e:
print(f"Connection error: {e.reason}", file=sys.stderr)
sys.exit(1)
# ---------------------------------------------------------------------------
# Bland.ai
# ---------------------------------------------------------------------------
def _bland_api_key() -> str:
return _env_or_config("BLAND_API_KEY", ["bland", "api_key"])
def bland_call(phone_number: str, task: str, voice: str | None = None,
first_sentence: str | None = None, max_duration: int = 3) -> dict:
api_key = _bland_api_key()
if not api_key:
print("Error: No Bland.ai API key. Set BLAND_API_KEY or add to ~/.hermes/config.yaml under phone.bland.api_key", file=sys.stderr)
print("Sign up free at https://app.bland.ai", file=sys.stderr)
sys.exit(1)
if voice is None:
voice = _env_or_config("BLAND_DEFAULT_VOICE", ["bland", "default_voice"], BLAND_DEFAULT_VOICE)
payload = {
"phone_number": phone_number,
"task": task,
"voice": voice,
"model": BLAND_DEFAULT_MODEL,
"max_duration": max_duration,
"record": True,
"wait_for_greeting": True,
}
if first_sentence:
payload["first_sentence"] = first_sentence
result = _http("POST", f"{BLAND_API_BASE}/calls",
{"Content-Type": "application/json", "authorization": api_key},
payload)
call_id = result.get("call_id")
if not call_id:
print(f"Error: Bland.ai returned no call_id: {json.dumps(result)}", file=sys.stderr)
sys.exit(1)
return {
"success": True,
"provider": "bland",
"call_id": call_id,
"phone_number": phone_number,
"voice": voice,
"max_duration": max_duration,
"message": "Call initiated. Use 'status' command to check results.",
}
def bland_status(call_id: str, analyze: str | None = None) -> dict:
api_key = _bland_api_key()
if not api_key:
print("Error: No Bland.ai API key.", file=sys.stderr)
sys.exit(1)
data = _http("GET", f"{BLAND_API_BASE}/calls/{call_id}",
{"authorization": api_key})
result = {
"success": True,
"provider": "bland",
"status": data.get("status"),
"duration_minutes": data.get("call_length"),
"answered_by": data.get("answered_by"),
"transcript": data.get("concatenated_transcript", ""),
"recording_url": data.get("recording_url"),
}
if analyze and data.get("status") == "completed":
questions = [[q.strip(), "string"] for q in analyze.split(",") if q.strip()]
if questions:
try:
analysis = _http("POST", f"{BLAND_API_BASE}/calls/{call_id}/analyze",
{"Content-Type": "application/json", "authorization": api_key},
{"questions": questions})
result["analysis"] = analysis
except Exception as e:
result["analysis_error"] = str(e)
return result
# ---------------------------------------------------------------------------
# Vapi
# ---------------------------------------------------------------------------
def _vapi_api_key() -> str:
return _env_or_config("VAPI_API_KEY", ["vapi", "api_key"])
def _vapi_phone_number_id() -> str:
return _env_or_config("VAPI_PHONE_NUMBER_ID", ["vapi", "phone_number_id"])
def vapi_call(phone_number: str, task: str, voice_id: str | None = None,
first_sentence: str | None = None, max_duration: int = 3) -> dict:
api_key = _vapi_api_key()
if not api_key:
print("Error: No Vapi API key. Set VAPI_API_KEY or add to ~/.hermes/config.yaml under phone.vapi.api_key", file=sys.stderr)
print("Sign up at https://dashboard.vapi.ai", file=sys.stderr)
sys.exit(1)
phone_number_id = _vapi_phone_number_id()
if not phone_number_id:
print("Error: No Vapi phone number ID. Vapi requires a Twilio number for outbound calls.", file=sys.stderr)
print("Setup: 1) Sign up at twilio.com 2) Buy a number 3) Import into Vapi 4) Set VAPI_PHONE_NUMBER_ID", file=sys.stderr)
sys.exit(1)
voice_provider = _env_or_config("VAPI_VOICE_PROVIDER", ["vapi", "default_voice_provider"], VAPI_DEFAULT_VOICE_PROVIDER)
if voice_id is None:
voice_id = _env_or_config("VAPI_VOICE_ID", ["vapi", "default_voice_id"], VAPI_DEFAULT_VOICE_ID)
model = _env_or_config("VAPI_MODEL", ["vapi", "model"], VAPI_DEFAULT_MODEL)
assistant = {
"model": {
"provider": "openai",
"model": model,
"messages": [{"role": "system", "content": task}],
},
"voice": {
"provider": voice_provider,
"voiceId": voice_id,
},
"maxDurationSeconds": max_duration * 60,
}
if first_sentence:
assistant["firstMessage"] = first_sentence
payload = {
"phoneNumberId": phone_number_id,
"customer": {"number": phone_number},
"assistant": assistant,
}
result = _http("POST", f"{VAPI_API_BASE}/call",
{"Authorization": f"Bearer {api_key}", "Content-Type": "application/json"},
payload)
call_id = result.get("id")
if not call_id:
print(f"Error: Vapi returned no call id: {json.dumps(result)}", file=sys.stderr)
sys.exit(1)
return {
"success": True,
"provider": "vapi",
"call_id": call_id,
"phone_number": phone_number,
"voice_provider": voice_provider,
"voice_id": voice_id,
"max_duration": max_duration,
"message": "Call initiated. Use 'status' command to check results.",
}
def vapi_status(call_id: str) -> dict:
api_key = _vapi_api_key()
if not api_key:
print("Error: No Vapi API key.", file=sys.stderr)
sys.exit(1)
data = _http("GET", f"{VAPI_API_BASE}/call/{call_id}",
{"Authorization": f"Bearer {api_key}"})
return {
"success": True,
"provider": "vapi",
"status": data.get("status"),
"duration_seconds": data.get("duration"),
"ended_reason": data.get("endedReason"),
"transcript": data.get("transcript", ""),
"recording_url": data.get("recordingUrl"),
"summary": data.get("summary"),
"cost": data.get("cost"),
}
# ---------------------------------------------------------------------------
# Diagnose — check config
# ---------------------------------------------------------------------------
def diagnose():
provider = _get_provider()
print(f"Phone Call Tool — Diagnostics")
print("=" * 45)
print(f" Active provider: {provider}")
# Bland
bland_key = _bland_api_key()
bland_voice = _env_or_config("BLAND_DEFAULT_VOICE", ["bland", "default_voice"], BLAND_DEFAULT_VOICE)
print(f"\n Bland.ai:")
print(f" API key: {'set' if bland_key else 'NOT SET (BLAND_API_KEY)'}")
print(f" Voice: {bland_voice}")
# Vapi
vapi_key = _vapi_api_key()
vapi_phone = _vapi_phone_number_id()
vapi_voice_provider = _env_or_config("VAPI_VOICE_PROVIDER", ["vapi", "default_voice_provider"], VAPI_DEFAULT_VOICE_PROVIDER)
vapi_voice_id = _env_or_config("VAPI_VOICE_ID", ["vapi", "default_voice_id"], VAPI_DEFAULT_VOICE_ID)
vapi_model = _env_or_config("VAPI_MODEL", ["vapi", "model"], VAPI_DEFAULT_MODEL)
print(f"\n Vapi:")
print(f" API key: {'set' if vapi_key else 'NOT SET (VAPI_API_KEY)'}")
print(f" Phone number: {'set' if vapi_phone else 'NOT SET (VAPI_PHONE_NUMBER_ID)'}")
print(f" Voice: {vapi_voice_provider}:{vapi_voice_id}")
print(f" Model: {vapi_model}")
print(f"\n Bland.ai voices:")
for name, desc in BLAND_VOICES.items():
print(f" {name:10s} — {desc}")
# Ready?
ready = False
if provider == "bland" and bland_key:
ready = True
elif provider == "vapi" and vapi_key and vapi_phone:
ready = True
print(f"\n Ready: {'YES' if ready else 'NO — configure API keys above'}")
# ---------------------------------------------------------------------------
# CLI
# ---------------------------------------------------------------------------
def main():
args = sys.argv[1:]
if not args or args[0] in ("-h", "--help", "help"):
print(__doc__)
sys.exit(0)
command = args[0]
if command == "diagnose":
diagnose()
return
if command == "call":
if len(args) < 3:
print("Usage: phone_call.py call <phone_number> <task> [options]", file=sys.stderr)
sys.exit(1)
phone_number = args[1]
task = args[2]
# Parse optional flags
voice = None
first_sentence = None
max_duration = 3
i = 3
while i < len(args):
if args[i] == "--voice" and i + 1 < len(args):
voice = args[i + 1]; i += 2
elif args[i] == "--first-sentence" and i + 1 < len(args):
first_sentence = args[i + 1]; i += 2
elif args[i] == "--max-duration" and i + 1 < len(args):
max_duration = int(args[i + 1]); i += 2
else:
print(f"Unknown option: {args[i]}", file=sys.stderr); sys.exit(1)
if not phone_number.startswith("+"):
print(f"Error: Phone number must be E.164 format (e.g. +15551234567), got: {phone_number}", file=sys.stderr)
sys.exit(1)
provider = _get_provider()
if provider == "vapi":
result = vapi_call(phone_number, task, voice_id=voice,
first_sentence=first_sentence, max_duration=max_duration)
else:
result = bland_call(phone_number, task, voice=voice,
first_sentence=first_sentence, max_duration=max_duration)
print(json.dumps(result, indent=2))
elif command == "status":
if len(args) < 2:
print("Usage: phone_call.py status <call_id> [--analyze 'q1,q2']", file=sys.stderr)
sys.exit(1)
call_id = args[1]
analyze = None
if len(args) > 2 and args[2] == "--analyze" and len(args) > 3:
analyze = args[3]
provider = _get_provider()
if provider == "vapi":
result = vapi_status(call_id)
else:
result = bland_status(call_id, analyze=analyze)
print(json.dumps(result, indent=2, ensure_ascii=False))
else:
print(f"Unknown command: {command}. Use 'call', 'status', or 'diagnose'.", file=sys.stderr)
sys.exit(1)
if __name__ == "__main__":
main()

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@ -0,0 +1,229 @@
from __future__ import annotations
import importlib.util
import json
import os
import sys
from pathlib import Path
SCRIPT_PATH = (
Path(__file__).resolve().parents[2]
/ "optional-skills"
/ "productivity"
/ "telephony"
/ "scripts"
/ "telephony.py"
)
def load_module():
spec = importlib.util.spec_from_file_location("telephony_skill", SCRIPT_PATH)
module = importlib.util.module_from_spec(spec)
assert spec.loader is not None
sys.modules[spec.name] = module
spec.loader.exec_module(module)
return module
def test_save_twilio_writes_env_and_state(tmp_path: Path, monkeypatch):
mod = load_module()
monkeypatch.setenv("HERMES_HOME", str(tmp_path / ".hermes"))
result = mod.save_twilio(
"AC123",
"secret-token",
phone_number="+1 (702) 555-1234",
phone_sid="PN123",
)
env_text = (tmp_path / ".hermes" / ".env").read_text(encoding="utf-8")
state = json.loads((tmp_path / ".hermes" / "telephony_state.json").read_text(encoding="utf-8"))
assert result["success"] is True
assert "TWILIO_ACCOUNT_SID=AC123" in env_text
assert "TWILIO_AUTH_TOKEN=secret-token" in env_text
assert "TWILIO_PHONE_NUMBER=+17025551234" in env_text
assert "TWILIO_PHONE_NUMBER_SID=PN123" in env_text
assert state["twilio"]["default_phone_number"] == "+17025551234"
assert state["twilio"]["default_phone_sid"] == "PN123"
def test_upsert_env_updates_existing_values(tmp_path: Path):
mod = load_module()
env_path = tmp_path / ".env"
env_path.write_text("TWILIO_PHONE_NUMBER=+15550000000\nOTHER=keep\n", encoding="utf-8")
mod._upsert_env_file(
{
"TWILIO_PHONE_NUMBER": "+15551112222",
"TWILIO_PHONE_NUMBER_SID": "PN999",
},
env_path=env_path,
)
env_text = env_path.read_text(encoding="utf-8")
assert "TWILIO_PHONE_NUMBER=+15551112222" in env_text
assert "TWILIO_PHONE_NUMBER_SID=PN999" in env_text
assert "OTHER=keep" in env_text
def test_messages_after_checkpoint_returns_only_newer_items():
mod = load_module()
messages = [
{"sid": "SM3", "body": "newest"},
{"sid": "SM2", "body": "middle"},
{"sid": "SM1", "body": "oldest"},
]
assert mod._messages_after_checkpoint(messages, "") == messages
assert mod._messages_after_checkpoint(messages, "SM2") == [{"sid": "SM3", "body": "newest"}]
assert mod._messages_after_checkpoint(messages, "SM3") == []
def test_twilio_buy_number_saves_env_and_state(tmp_path: Path):
mod = load_module()
state_path = tmp_path / "telephony_state.json"
env_path = tmp_path / ".env"
mod._twilio_request = lambda method, path, params=None, form=None: {
"sid": "PN111",
"phone_number": "+17025550123",
"friendly_name": "Test Number",
"capabilities": {"voice": True, "sms": True},
}
result = mod._twilio_buy_number(
"+17025550123",
save_env=True,
state_path=state_path,
env_path=env_path,
)
state = json.loads(state_path.read_text(encoding="utf-8"))
env_text = env_path.read_text(encoding="utf-8")
assert result["phone_sid"] == "PN111"
assert state["twilio"]["default_phone_number"] == "+17025550123"
assert state["twilio"]["default_phone_sid"] == "PN111"
assert "TWILIO_PHONE_NUMBER=+17025550123" in env_text
assert "TWILIO_PHONE_NUMBER_SID=PN111" in env_text
def test_twilio_inbox_marks_seen_checkpoint(tmp_path: Path):
mod = load_module()
state_path = tmp_path / "telephony_state.json"
mod._save_state(
{
"version": 1,
"twilio": {
"default_phone_number": "+17025550123",
"default_phone_sid": "PN111",
"last_inbound_message_sid": "SM1",
},
},
state_path,
)
mod._twilio_owned_numbers = lambda limit=50: [
mod.OwnedTwilioNumber(
sid="PN111",
phone_number="+17025550123",
friendly_name="Main",
capabilities={"voice": True, "sms": True},
)
]
mod._twilio_request = lambda method, path, params=None, form=None: {
"messages": [
{
"sid": "SM3",
"direction": "inbound",
"status": "received",
"from": "+15551230000",
"to": "+17025550123",
"date_sent": "Tue, 14 Mar 2026 09:00:00 +0000",
"body": "new message",
"num_media": "0",
},
{
"sid": "SM1",
"direction": "inbound",
"status": "received",
"from": "+15551110000",
"to": "+17025550123",
"date_sent": "Tue, 14 Mar 2026 08:00:00 +0000",
"body": "old message",
"num_media": "0",
},
]
}
result = mod._twilio_inbox(limit=10, since_last=True, mark_seen=True, state_path=state_path)
state = json.loads(state_path.read_text(encoding="utf-8"))
assert result["count"] == 1
assert result["messages"][0]["sid"] == "SM3"
assert state["twilio"]["last_inbound_message_sid"] == "SM3"
def test_vapi_import_twilio_number_saves_phone_number_id(tmp_path: Path):
mod = load_module()
state_path = tmp_path / "telephony_state.json"
env_path = tmp_path / ".env"
mod._vapi_api_key = lambda: "vapi-key"
mod._twilio_creds = lambda: ("AC123", "token123")
mod._resolve_twilio_number = lambda identifier=None: mod.OwnedTwilioNumber(
sid="PN111",
phone_number="+17025550123",
friendly_name="Main",
capabilities={"voice": True, "sms": True},
)
mod._json_request = lambda method, url, headers=None, params=None, form=None, json_body=None: {
"id": "vapi-phone-xyz"
}
result = mod._vapi_import_twilio_number(
save_env=True,
state_path=state_path,
env_path=env_path,
)
state = json.loads(state_path.read_text(encoding="utf-8"))
env_text = env_path.read_text(encoding="utf-8")
assert result["phone_number_id"] == "vapi-phone-xyz"
assert state["vapi"]["phone_number_id"] == "vapi-phone-xyz"
assert "VAPI_PHONE_NUMBER_ID=vapi-phone-xyz" in env_text
def test_diagnose_includes_decision_tree_and_saved_state(tmp_path: Path, monkeypatch):
mod = load_module()
hermes_home = tmp_path / ".hermes"
monkeypatch.setenv("HERMES_HOME", str(hermes_home))
mod._save_state(
{
"version": 1,
"twilio": {
"default_phone_number": "+17025550123",
"last_inbound_message_sid": "SM123",
},
"vapi": {
"phone_number_id": "vapi-abc",
},
},
hermes_home / "telephony_state.json",
)
(hermes_home / ".env").parent.mkdir(parents=True, exist_ok=True)
(hermes_home / ".env").write_text(
"TWILIO_ACCOUNT_SID=AC123\nTWILIO_AUTH_TOKEN=token\nBLAND_API_KEY=bland\n",
encoding="utf-8",
)
result = mod.diagnose()
assert result["providers"]["twilio"]["default_phone_number"] == "+17025550123"
assert result["providers"]["twilio"]["last_inbound_message_sid"] == "SM123"
assert result["providers"]["bland"]["configured"] is True
assert result["providers"]["vapi"]["phone_number_id"] == "vapi-abc"
assert any(item["use"] == "Twilio" for item in result["decision_tree"])