What Makes Tharior Remedai Truly Agentic?

Core Agentic Tenets

Unlike simple single-shot code completion tools, Tharior Remedai operates as an autonomous, self-directed agentic system built on six core capabilities:

1. A2A Multi-Agent Collaboration

Tasks are dynamically delegated between specialized agent cards: Triage & Clarity Agent, Backend Python Agent, Frontend UI Agent, Frontier Architecture Agent, and Security Auditor.

2. Agentic Reflection & Self-Healing

The agent executes generated patches against PyTest suites inside ephemeral sandboxes, analyzes test failure traces, and autonomously reflects and iterates until all tests pass.

3. Proactive Clarity Verification Gate

When requirements are ambiguous or underspecified, the agent pauses instead of hallucinating, presenting structured multiple-choice clarifying questions to human reviewers.

4. Dynamic Multi-Model Intelligence

Dynamically routes tasks across live OpenRouter models with real-time pricing synchronization, custom model management, and seamless circuit-breaker candidate rotation.

5. Anvesh Vector & Knowledge Graph

Grounds reasoning in verified AST declarations and caller/callee subgraphs in Anvesh, eliminating symbol hallucinations and context truncation.

6. K8s Sandboxing & POSIX 0700 Isolation

Guarantees strict tenant and user boundary separation. In-pod sandboxes are restricted with 0700 permission masks, and high-tier jobs scale to dedicated KEDA pods.

Agentic Governance & Pull Request Safety Guardrails
Tharior Remedai is engineered with hard safety boundaries: all code modifications are synthesized as unified diffs, verified against repo ASTs, and automated into dedicated Git branches (remedai/patch-<hex>) with interactive Pull Request submission for human review.

10-Tier Live Matrix Preview

Tier Category Representative Models Cost (Prompt / 1M) Latency
Tier 1 Micro & Syntax Guard gemini-1.5-flash-8b, qwen-2.5-coder-7b $0.0375 ~65ms
Tier 2 Ultra-Cheap Fast Remediator deepseek-chat, gemini-2.0-flash-lite $0.1400 ~85ms
Tier 3 Economical Code Specialist gpt-4o-mini, qwen-2.5-coder-32b $0.1500 ~110ms
Tier 4 Mid-Tier Generalist claude-3-5-haiku, codestral-2501 $0.8000 ~145ms
Tier 5 Fast Structured Reasoner o3-mini (low), deepseek-r1-70b $1.1000 ~180ms
Tier 6 Core Engineering Workhorse openai/gpt-4o, anthropic/claude-sonnet-4.5 $2.5000 ~210ms
Tier 7 Deep Concurrency Reasoner openai/o3-mini (high), deepseek/deepseek-r1 $4.8000 ~290ms
Tier 8 Senior Architect anthropic/claude-sonnet-4.6, llama-3.3-70b $9.0000 ~350ms
Tier 9 Frontier Cognitive Synthesis anthropic/claude-sonnet-5, openai/o1, openai/o3 $18.0000 ~480ms
Tier 10 Elite Multi-Model Consensus claude-sonnet-5 + o3 + gemini-2.5-pro $45.0000 ~850ms

Quick Start Example

Dispatch an autonomous remediation job to Tharior Remedai:

bash — Ingest Issue to Tharior Remedai 
# Dispatch issue to Tharior Remedai Gateway
curl -X POST http://localhost:8000/api/v1/tickets/webhook \
  -H "Content-Type: application/json" \
  -H "X-Tenant: payments-team" \
  -H "Authorization: Bearer sk-cognito-token" \
  -d '{
    "ticket_id": "GH-4491",
    "repo_name": "org/payments-service",
    "title": "Fix null pointer exception in Stripe webhook payload deserializer",
    "description": "Deserializer crashes when event_id is absent from payload."
  }'
Continue to Getting Started Guide →