ephapsys 0.2.93

Ephapsys helps you empower and govern AI agents.

Ephapsys SDK

Lightweight SDK for EC-ANN modulation, trusted agent provisioning, and runtime security.

---

📦 Installation

pip install ephapsys

Optional feature groups:

pip install ephapsys                    # default runtime + language/modulation stack
pip install "ephapsys[audio]"
pip install "ephapsys[eval]"
pip install "ephapsys[vision]"      # alias: [video]
pip install "ephapsys[all]"

TPM personalization prerequisites (Linux):

pip install "ephapsys[tpm]"
sudo apt-get install -y tpm2-tools

If you are on Ubuntu 22.04, ensure tpm2-tools, tpm2-tss, and tpm2-pytss are version-compatible. Ubuntu 22.04 commonly ships TSS2 3.x, while newer tpm2-pytss builds may expect TSS2 4.x.

Choose the profile by workload:

Workload	Install command
Lightweight orchestrator/proxy only	pip install ephapsys
Agent runtime (HelloWorld language)	pip install ephapsys
Agent runtime (Robot multimodal)	pip install "ephapsys[modulation,audio,vision,embedding]" + pip install webrtcvad sounddevice pyaudio
Agent runtime (GGUF / llama.cpp edge CPU)	pip install ephapsys + install llama-cpp-python or llama-cli
Modulators/training scripts	pip install ephapsys
Modulators with full evaluation/report stack	pip install "ephapsys[all]"

---

🚀 Quickstart

from ephapsys import TrustedAgent

agent = TrustedAgent.from_env()

ok, report = agent.verify()
if not ok:
    raise RuntimeError(f"Agent blocked: {report}")

agent.prepare_runtime()
print(agent.run("Hello world", model_kind="language"))

---

⚙️ Environment Variables

Variable	Description
EPHAPSYS_AGENT_ID	Agent ID/label assigned by AOC
AOC_BASE_URL	API endpoint, e.g. https://api.ephapsys.com
AOC_ORG_ID	Org identifier (non-secret tenant scope)
AOC_PROVISIONING_TOKEN	Provisioning credential exchanged for short-lived device token
EPHAPSYS_STORAGE_DIR	Optional, defaults to .ephapsys_state

For edge production, use hardware anchors (tpm, tee, dsim, hsm) and avoid PERSONALIZE_ANCHOR=none.

Runtime download tuning (optional):

AOC_DOWNLOAD_PROGRESS=1
AOC_DOWNLOAD_RETRIES=3
AOC_DOWNLOAD_TIMEOUT=60
AOC_DOWNLOAD_CHUNK_KB=256
AOC_DOWNLOAD_PROGRESS_STEP_MB=5
AOC_DOWNLOAD_WORKERS=4

Optional GGUF runtime tuning:

AOC_LLAMA_CPP_CLI=llama-cli
AOC_GGUF_CTX=2048
AOC_GGUF_MAX_NEW_TOKENS=256

---

🎛️ ModulatorClient

Start / iterate / complete modulation on model templates:

from ephapsys.modulation import ModulatorClient

mod = ModulatorClient(api_base="https://api.ephapsys.com", api_key="dev")
resp = mod.start_job(
    model_template_id="google/gemma-2b",
    variant="ec-ann",
    search_space={"lr": [1e-3, 1e-4]},
    kpi={"accuracy": "max"},
    mode="auto"
)
print(resp)

---

🔗 A2AClient (Agent-to-Agent)

Send, list, and ack org-scoped A2A messages:

from ephapsys import A2AClient

a2a = A2AClient.from_env()

sent = a2a.send_message(
    from_agent_id="agent_sender",
    to_agent_id="agent_receiver",
    payload={"op": "ping"},
    message_type="event",
)

inbox = a2a.inbox(agent_id="agent_receiver", limit=20)
first = (inbox.get("items") or [None])[0]
if first:
    a2a.ack_message(message_id=first["id"], agent_id="agent_receiver")

A2AClient.from_env() uses AOC_A2A_TOKEN (and falls back to AOC_MODULATION_TOKEN for compatibility).

Optional signed mode (recommended for production):

export AOC_A2A_TOKEN=a2a_xxx
export AOC_ORG_ID=org_xxx
export A2A_SIGN_REQUESTS=1
export A2A_HMAC_SECRET=replace_with_org_secret

When A2A_SIGN_REQUESTS=1, A2AClient.send_message() adds:

• x-a2a-ts
• x-a2a-nonce
• x-a2a-sig

Backend verification controls:

• A2A_REQUIRE_SIGNATURE=1
• A2A_HMAC_SECRET
• A2A_REPLAY_WINDOW_SECONDS (default 300)

---

🖥️ CLI

The SDK includes a CLI (ephapsys) for working with agents, models, modulation, and certificates.
Authentication is required before most commands.

🔑 Login

ephapsys login --username izzo
Password: ****
✅ Logged in.

This stores a JWT in ~/.ephapsys_state/session.json.

Use --base-url when you want a non-production environment:

ephapsys --base-url https://api.staging.ephapsys.ai login

---

📦 Models

Register, list, and remove models tied to your org.

# Register
ephapsys model register --provider huggingface --ids google/gemma-2b
ephapsys model register --provider huggingface --ids google/embeddinggemma-300m  google/flan-t5-base
ephapsys model register --provider huggingface --ids microsoft/speecht5_tts
ephapsys model register --provider huggingface --ids google/gemma-2b google/embeddinggemma-300m  microsoft/speecht5_tts

# List (pretty table)
ephapsys model list
name                 provider     status
-----------------------------------------
google/gemma-2b      huggingface  registered
google/embedding...  huggingface  registered

# List (JSON)
ephapsys model list --json

# Remove
ephapsys model remove --provider huggingface --id google/gemma-2b

---

🤖 Agents

# List (pretty table)
ephapsys agent list
agent_id     label        status
--------------------------------
agent-123    Sales Bot    registered
agent-456    SupportBot   enabled

# List (JSON)
ephapsys agent list --json

Other agent commands (verify, enable, disable, revoke, export-manifest) are also available.

---

📊 Modulation

# Start job
ephapsys tune start --model-template-id google/gemma-2b --variant ec-ann   --search-space '{"lr":[1e-3,1e-4]}' --kpi '{"accuracy":"max"}'

# Report metrics
ephapsys tune metrics --job-id JOB123 --metrics '[{"step":1,"val":0.84}]'

# Request next step
ephapsys tune next --job-id JOB123 --last-metrics '[{"step":1,"val":0.84}]'

# Complete job
ephapsys tune complete --job-id JOB123 --artifacts '{"weights":"s3://..."}'

---

🧪 Samples

Access the samples at: https://github.com/ephapsys