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Context-driven data pipeline with budget enforcement and pluggable context slicing

Project description

Relay

Agent-agent context passing, done right.

Relay is a lightweight, open source Python middleware library for passing context reliably between AI agents in a multi-agent pipeline. Works with any LLM provider or framework — LangChain, OpenAI, Anthropic, LiteLLM, or your own agents.


The Problem

One hallucinating agent silently corrupts the shared context, and every downstream agent inherits the damage. Existing orchestration tools treat the context window as a mutable blob with no version control.

The Solution

Relay treats context like a ledger: append-only, signed at every step, and reversible.


Features

  • Context Broker — Normalizes, timestamps, and cryptographically signs context envelopes
  • Handoff Validator — Detects contradictions and triggers rollback on corruption
  • Snapshot Store — Persists immutable checkpoints for automatic rollback

Installation

git clone https://github.com/kridaydave/Relay.git
cd Relay
pip install -e .

The Aha Moment

Without Relay (manual, error-prone):

# Agent 1 produces output
agent1_output = {"entities": ["Apple", "2024 revenue"], "summary": "Apple grew"}

# Manual serialization — easy to lose data, corrupt context
context = json.dumps(agent1_output)

# Agent 2 receives corrupted context
agent2_input = f"Given: {context}\nAnalyze this."

With Relay (automatic, verified):

from relay.core_pipeline import CoreRelayPipeline

pipeline = CoreRelayPipeline(
    signing_secret="your-secret-key",
    token_budget=8000
)

# Agent 1 — creates signed envelope
result = pipeline.execute_step({"entities": ["Apple"], "revenue": "2024"})
envelope1 = result.value  # signed, immutable

# Agent 2 — validator detects contradiction
# If Agent 2 accidentally drops "entities", rollback triggers automatically
result = pipeline.execute_step({"summary": "growth"})  # contradiction!

What happens on contradiction:

# Validator detects: critical key "entities" disappeared
# Relay automatically rolls back to last clean snapshot

result = pipeline.rollback()
restored_envelope = result.value
# Now you have the clean envelope from step 1

How It Works

Agent 1 → [Sign Envelope] → Agent 2 → [Validate] → Agent 3
                              ↓
                         [Snapshot]
                              ↓
                    [Rollback if dirty]

Every handoff is signed and validated. If corruption is detected, Relay silently rolls back to the last clean checkpoint.


Context Envelope

Every context move between agents is wrapped in a signed, immutable envelope:

{
  "relay_version": "0.1.0",
  "pipeline_id": "uuid-v4",
  "step": 2,
  "timestamp": "2026-05-04T10:22:00Z",
  "token_budget_used": 1840,
  "token_budget_total": 8000,
  "payload": {...},
  "signature": "sha256:abc123..."
}

Error Handling

Relay uses Result types instead of exceptions:

from relay.types import Success, Failure, Result

result = pipeline.execute_step({"task": "work"})
if isinstance(result, Success):
    envelope = result.value
elif isinstance(result, Failure):
    print(f"Error: {result.reason} (code: {result.code})")

Testing

pytest tests/unit -v

Quality gates:

  • mypy --strict passes
  • 80% test coverage

  • Every public function has a test

License

MIT License - see LICENSE file


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