aicoevolution 0.0.5

AICoevolution SDK - Semantic Telemetry and Transformation Detection for Human-AI Conversations

AICoevolution SDK (Thin Client)

The aicoevolution PyPI package ships a thin HTTP client for the AICoevolution SDK Service. All computation happens on the hosted service (or your self-hosted deployment).

This README is the public contract: if it isn’t described here, it won’t be part of the published client API.

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Install

pip install aicoevolution

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What you get (Paper 03 release)

Real-time semantic telemetry (/v0/ingest)

• SGI (Semantic Grounding Index): grounding quality of assistant replies relative to the user's query + context
• Angular velocity: semantic movement per turn (degrees/turn)
• Context phase: stable / protostar / split — topic coherence state
• Context mass: accumulated turns in current topic
• Attractor count: number of competing topic centers
• Designed for live feedback (sub-second latency)

Batch runs (/v1/runs) (internal / platform)

• Platform-oriented batch analysis with snapshot persistence (used by backend workflows)
• Requires an internal service key (X-SDK-API-Key)

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Authentication

The SDK Service supports two auth modes:

• External users: Authorization: Bearer aic_...
• Internal service-to-service: X-SDK-API-Key: <SDK_SERVICE_API_KEY>

Get a user API key from your AICoevolution profile (Profile → API Keys).

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Quickstart (Python)

from aicoevolution_sdk import AICoevolutionClient
import time

sdk = AICoevolutionClient(
    base_url="https://sdk.aicoevolution.com",
)

# Option A: set env var AIC_SDK_API_KEY=aic_...
# Option B: pass it in code:
sdk.auth = sdk.auth.__class__(user_api_key="aic_your_key_here")

conversation_id = "conv_demo_001"

sdk.ingest(
    conversation_id=conversation_id,
    role="user",
    text="I keep repeating the same patterns and I don't know why.",
    timestamp_ms=int(time.time() * 1000),
)

resp = sdk.ingest(
    conversation_id=conversation_id,
    role="assistant",
    text="Let’s slow down and find the smallest concrete example of the pattern.",
    timestamp_ms=int(time.time() * 1000),
)

print("SGI mean:", resp.get("sgi_mean"))
print("Velocity mean:", resp.get("angular_velocity_mean"))
print("Context phase:", resp.get("context_phase"))
print("Context mass:", resp.get("context_mass"))

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API (Thin Client)

Configure via environment

# SDK service base URL
AIC_SDK_URL=https://sdk.aicoevolution.com

# External user key (recommended for scripts / apps)
AIC_SDK_API_KEY=aic_...

# Internal-only (platform backend) key for /v1/runs
SDK_SERVICE_API_KEY=...

POST /v0/ingest (real-time metrics)

sdk.ingest(
    conversation_id="conv_123",
    role="user|assistant",
    text="...",
    timestamp_ms=1705234567890,
)

GET /v0/snapshot/{conversation_id}

sdk.snapshot(conversation_id="conv_123")

POST /v1/runs (internal / platform)

sdk.create_run(body={
    "journey_spec_id": "diagnostic_pulse_v1",
    "messages": [
        {
            "role": "user",
            "text": "...",
            "macro_topic_id": "perception",
            "session_idx": 1,
            "timestamp": "2025-12-29T12:34:56Z",
        },
    ],
})

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Service architecture (high-level)

The SDK Service is part of a small ecosystem:

• SDK Service (FastAPI): telemetry + batch runs
• Embedding Sidecar: embedding generation via HTTP (POST /embed)
• Platform backend: user keys, quotas, tier enforcement, hosted workflows

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Support

• Docs: https://docs.aicoevolution.com
• Email: [e-mail]