ReliaMesh Python SDK

Content-minimizing reliability events for AI agents. Python 3.12+, no runtime dependencies. Owned by Prefiler Labs Private Limited; Apache-2.0.

For a published release, install from PyPI:

python -m pip install reliamesh-sdk==0.2.0

Or install from this source checkout:

python -m pip install ./sdk/python

import os
from reliamesh_sdk import Client, event

client = Client(
    endpoint=os.environ["RELIAMESH_ENDPOINT"],
    api_key=os.environ["RELIAMESH_API_KEY"],
)
client.emit(event(
    deployment_id="production-eu1", agent_id="invoice-agent",
    operation="validation", outcome="failure",
    failure_type="malformed_output", model="model-alias", prompt_version="v3",
    latency_ms=140, input_tokens=80, output_tokens=30,
))
client.flush()

Use opaque stable identifiers; never put customer content, secrets, email addresses, or raw prompts in identifier fields. The schema restricts shape, not meaning. Hashing predictable personal data does not make it safe.

Observe execution

with client.observe(deployment_id="production-eu1", agent_id="invoice-agent",
                    operation="tool", tool="document-validator", tool_version="2"):
    run_tool()  # Your application function; return values are never inspected.
client.flush()

The context manager records elapsed time, success or failure, and a generic exception classification. It never reads the exception message or stack. Original application exceptions propagate. A timeout is classified as timeout; other exceptions use the operation's generic failure type. Application validation must emit explicit events for malformed output, loops, fallback, retry escalation, or incomplete tasks. A successful HTTP call cannot establish task success.

Delivery contract

• No default endpoint, network discovery, background thread, automatic exporter, exit hook, or outbound telemetry. emit and observe enqueue locally; flush, summary, and incidents initiate requests to your chosen endpoint.
• Endpoints require HTTPS, except loopback HTTP for local use. Redirects are rejected. TLS uses Python's normal certificate validation.
• Default queue capacity: 1,000 events, at most 100 events and 128 KiB per request. Queue capacity is configurable from 1 to 10,000. The queue lives only in memory.
• Default socket timeout: 2 seconds, configurable up to 30 seconds. This bounds individual socket operations, not the entire flush. Flush processes only the number of events queued at entry, so concurrent producers cannot extend it indefinitely.
• Only HTTP 429 and 503 retry, up to two retries by default (maximum three). Exponential delays are bounded to one second. Retry bodies and event IDs are identical so the server can deduplicate them. Transport errors and other statuses are not retried. The client verifies ingestion acknowledgement counts.
• Default failure_mode="drop" drops invalid, overflowing, or unsuccessfully sent events. failure_mode="raise" raises SDKError/DeliveryError. An attempted failed batch is dropped in either mode. Raise mode leaves later batches queued.
• Read client.counters: enqueued, sent, dropped, failed_batches, retries, and queued. sent counts acknowledged input events, including deduplicated events. Errors omit response bodies and credentials.
• summary() and incidents() return decoded authenticated API responses; read failures always raise DeliveryError.

This is best-effort instrumentation, not durable message delivery. Export on a dedicated application worker or with await asyncio.to_thread(client.flush) in async applications. Do not call synchronous flush() on a latency-sensitive event loop. In-process queuing and counters are thread-safe; forked processes need their own client. Drain on a controlled shutdown if losing queued observations matters.

OpenTelemetry adapter

from_otel_attributes(attributes, deployment_id=..., agent_id=..., outcome=...) constructs an event without exporting it or installing span processors. It maps selected standard names from the OpenTelemetry GenAI attribute registry:

chat, text_completion, generate_content, and embeddings map to model; invoke_agent maps to agent; execute_tool maps to tool. Unknown operations require an explicit application mapping and raise ValueError.

ReliaMesh-specific extensions reliamesh.model.version, reliamesh.prompt.version, reliamesh.agent.version, reliamesh.framework.name, reliamesh.framework.version, reliamesh.tool.name, and reliamesh.tool.version map to the corresponding flat event fields. These extensions are not official OpenTelemetry conventions. The caller explicitly supplies outcome, failure type, duration, and synthetic status. All unlisted attributes, messages, exception details, and span events are ignored. Invalid allowlisted values are rejected. Never pass prompt text as a version identifier.