OmniRoute/docs/i18n/fi/src/lib/a2a/README.md

OmniRoute A2A Server (Suomi)

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---

Agent-to-Agent Protocol v0.3 — Enables any AI agent to use OmniRoute as an intelligent routing agent via JSON-RPC 2.0.

The A2A Server exposes OmniRoute as a first-class agent that other agents can discover, delegate tasks to, and collaborate with using the A2A Protocol.

---

Arkkitehtuuri

┌──────────────────────────────────────────────────────────────────┐
│                    Orchestrator Agent                             │
│        (LangChain, CrewAI, AutoGen, Custom Agent)                │
└──────────────────────┬───────────────────────────────────────────┘
                       │  1. GET /.well-known/agent.json  (discover)
                       │  2. POST /a2a  (JSON-RPC 2.0)
                       ▼
┌──────────────────────────────────────────────────────────────────┐
│                     OmniRoute A2A Server                         │
│  ┌────────────────┐  ┌────────────────┐  ┌───────────────────┐  │
│  │  Task Manager  │  │  Skill Engine  │  │  SSE Streaming    │  │
│  │  (lifecycle)   │──│  (registry)    │──│  (real-time)      │  │
│  └────────────────┘  └────────┬───────┘  └───────────────────┘  │
│                               │                                  │
│  Skills:                      │                                  │
│    ├─ smart-routing ──────────┤  ┌────────────────────────────┐  │
│    └─ quota-management ───────┘  │  Routing Decision Logger   │  │
│                                  └────────────────────────────┘  │
└──────────────────────────────────────────────────────────────────┘
                       │
                       ▼  OmniRoute Gateway (internal)
              /v1/chat/completions, /api/combos, /api/usage/quota

---

Pikakäynnistys

Agent Discovery

Every A2A-compatible agent exposes an Agent Card at /.well-known/agent.json:

curl http://localhost:20128/.well-known/agent.json

Response:

{
  "name": "OmniRoute",
  "description": "Intelligent AI gateway with auto-routing across 50+ providers",
  "url": "http://localhost:20128/a2a",
  "version": "1.8.1",
  "capabilities": {
    "streaming": true,
    "pushNotifications": false
  },
  "skills": [
    {
      "id": "smart-routing",
      "name": "Smart Routing",
      "description": "Routes prompts through OmniRoute intelligent pipeline",
      "tags": ["routing", "llm", "multi-provider", "cost-optimization"],
      "examples": [
        "Write a hello world in Python",
        "Explain quantum computing using the cheapest provider"
      ]
    },
    {
      "id": "quota-management",
      "name": "Quota Management",
      "description": "Natural-language queries about provider quotas",
      "tags": ["quota", "analytics", "cost"],
      "examples": [
        "Which provider has the most quota remaining?",
        "Suggest a free combo for coding"
      ]
    }
  ],
  "authentication": {
    "schemes": ["bearer"],
    "apiKeyHeader": "Authorization"
  }
}

---

JSON-RPC 2.0 Methods

message/send — Synchronous Execution

Send a message to a skill and receive the complete response.

curl -X POST http://localhost:20128/a2a \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_KEY" \
  -d '{
    "jsonrpc": "2.0",
    "id": "1",
    "method": "message/send",
    "params": {
      "skill": "smart-routing",
      "messages": [{"role": "user", "content": "Write a Python hello world"}],
      "metadata": {"model": "auto", "combo": "fast-coding"}
    }
  }'

Response:

{
  "jsonrpc": "2.0",
  "id": "1",
  "result": {
    "task": { "id": "a1b2c3d4-...", "state": "completed" },
    "artifacts": [{ "type": "text", "content": "print('Hello, World!')" }],
    "metadata": {
      "routing_explanation": "Selected claude-sonnet via provider \"anthropic\" (latency: 1200ms, cost: $0.0030)",
      "cost_envelope": { "estimated": 0.005, "actual": 0.003, "currency": "USD" },
      "resilience_trace": [
        { "event": "primary_selected", "provider": "anthropic", "timestamp": "2026-03-04T..." }
      ],
      "policy_verdict": { "allowed": true, "reason": "within budget and quota limits" }
    }
  }
}

message/stream — SSE Streaming

Same as message/send but returns Server-Sent Events for real-time streaming.

curl -N -X POST http://localhost:20128/a2a \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_KEY" \
  -d '{
    "jsonrpc": "2.0",
    "id": "1",
    "method": "message/stream",
    "params": {
      "skill": "smart-routing",
      "messages": [{"role": "user", "content": "Explain quantum computing"}]
    }
  }'

SSE Events:

data: {"jsonrpc":"2.0","method":"message/stream","params":{"task":{"id":"...","state":"working"},"chunk":{"type":"text","content":"Quantum computing..."}}}

: heartbeat 2026-03-04T21:00:00Z

data: {"jsonrpc":"2.0","method":"message/stream","params":{"task":{"id":"...","state":"completed"},"metadata":{...}}}

tasks/get — Query Task Status

curl -X POST http://localhost:20128/a2a \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_KEY" \
  -d '{"jsonrpc":"2.0","id":"2","method":"tasks/get","params":{"taskId":"TASK_UUID"}}'

tasks/cancel — Cancel a Running Task

curl -X POST http://localhost:20128/a2a \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_KEY" \
  -d '{"jsonrpc":"2.0","id":"3","method":"tasks/cancel","params":{"taskId":"TASK_UUID"}}'

---

Skills Reference

smart-routing

Routes prompts through OmniRoute's intelligent pipeline with full observability.

Parameters (in metadata):

Parameter	Type	Default	Description
model	string	"auto"	Target model (e.g., claude-sonnet-4, gpt-4o, auto)
combo	string	active combo	Specific combo to route through
budget	number	none	Maximum cost in USD for this request
role	string	none	Task role hint: coding, review, planning, analysis, debugging, documentation

Returns:

Field	Description
artifacts[].content	The LLM response text
metadata.routing_explanation	Human-readable explanation of routing decision
metadata.cost_envelope	Estimated vs actual cost with currency
metadata.resilience_trace	Array of events (primary_selected, fallback_needed, etc.)
metadata.policy_verdict	Whether the request was allowed and why

quota-management

Answers natural-language queries about provider quotas.

Query types (inferred from message content):

Query Pattern	Response Type
Contains "ranking", "most quota", "best"	Providers ranked by remaining quota
Contains "free", "suggest"	Lists free combos or suggests free-tier providers
Default	Full quota summary with warnings for low-quota providers

---

Task Lifecycle

submitted ──→ working ──→ completed
                       ──→ failed
              ──────────→ cancelled

State	Description
submitted	Task created, queued for execution
working	Skill handler is executing
completed	Execution succeeded, artifacts available
failed	Execution failed or task expired (TTL: 5 min default)
cancelled	Cancelled by client via tasks/cancel

• Terminal states: completed, failed, cancelled (no further transitions)
• Expired tasks in submitted or working are auto-marked as failed
• Tasks are garbage-collected after 2× TTL

---

Client Examples

Python — Orchestrator Agent

"""
A2A Client — Python example.
Discovers OmniRoute agent, sends a task, and processes the result.
"""
import requests
import json

BASE_URL = "http://localhost:20128"
API_KEY = "your-api-key"
HEADERS = {
    "Content-Type": "application/json",
    "Authorization": f"Bearer {API_KEY}",
}

# 1. Discover agent capabilities
agent_card = requests.get(f"{BASE_URL}/.well-known/agent.json").json()
print(f"Agent: {agent_card['name']} v{agent_card['version']}")
print(f"Skills: {[s['id'] for s in agent_card['skills']]}")

# 2. Send a smart-routing task
response = requests.post(f"{BASE_URL}/a2a", headers=HEADERS, json={
    "jsonrpc": "2.0",
    "id": "task-1",
    "method": "message/send",
    "params": {
        "skill": "smart-routing",
        "messages": [{"role": "user", "content": "Write a Python quicksort implementation"}],
        "metadata": {
            "model": "auto",
            "combo": "fast-coding",
            "budget": 0.10,
        }
    }
})
result = response.json()["result"]
print(f"\n📝 Response: {result['artifacts'][0]['content'][:200]}...")
print(f"🔀 Routing: {result['metadata']['routing_explanation']}")
print(f"💰 Cost: ${result['metadata']['cost_envelope']['actual']}")
print(f"🛡️ Policy: {result['metadata']['policy_verdict']['reason']}")

# 3. Query quota status
quota_resp = requests.post(f"{BASE_URL}/a2a", headers=HEADERS, json={
    "jsonrpc": "2.0",
    "id": "task-2",
    "method": "message/send",
    "params": {
        "skill": "quota-management",
        "messages": [{"role": "user", "content": "Which provider has the most quota remaining?"}],
    }
})
quota_result = quota_resp.json()["result"]
print(f"\n📊 Quota: {quota_result['artifacts'][0]['content']}")

TypeScript — Multi-Agent Orchestrator

/**
 * A2A Client — TypeScript example.
 * Shows agent discovery, task delegation, and streaming.
 */

const BASE_URL = "http://localhost:20128";
const API_KEY = "your-api-key";

interface JsonRpcResponse<T = any> {
  jsonrpc: "2.0";
  id: string | number;
  result?: T;
  error?: { code: number; message: string };
}

async function a2aCall<T>(method: string, params: Record<string, any>): Promise<T> {
  const resp = await fetch(`${BASE_URL}/a2a`, {
    method: "POST",
    headers: {
      "Content-Type": "application/json",
      Authorization: `Bearer ${API_KEY}`,
    },
    body: JSON.stringify({
      jsonrpc: "2.0",
      id: `${method}-${Date.now()}`,
      method,
      params,
    }),
  });
  const json: JsonRpcResponse<T> = await resp.json();
  if (json.error) throw new Error(`[${json.error.code}] ${json.error.message}`);
  return json.result!;
}

// ── Agent Discovery ──
const agentCard = await fetch(`${BASE_URL}/.well-known/agent.json`).then((r) => r.json());
console.log(`Connected to: ${agentCard.name} (${agentCard.skills.length} skills)`);

// ── Smart Routing: Send a coding task ──
const routingResult = await a2aCall("message/send", {
  skill: "smart-routing",
  messages: [{ role: "user", content: "Implement a Redis cache wrapper in TypeScript" }],
  metadata: { model: "claude-sonnet-4", role: "coding" },
});
console.log("Response:", routingResult.artifacts[0].content);
console.log("Provider:", routingResult.metadata.routing_explanation);

// ── Quota Management: Find free alternatives ──
const quotaResult = await a2aCall("message/send", {
  skill: "quota-management",
  messages: [{ role: "user", content: "Suggest free combos for documentation" }],
});
console.log("Free combos:", quotaResult.artifacts[0].content);

// ── Streaming: Real-time response ──
const streamResp = await fetch(`${BASE_URL}/a2a`, {
  method: "POST",
  headers: {
    "Content-Type": "application/json",
    Authorization: `Bearer ${API_KEY}`,
  },
  body: JSON.stringify({
    jsonrpc: "2.0",
    id: "stream-1",
    method: "message/stream",
    params: {
      skill: "smart-routing",
      messages: [{ role: "user", content: "Explain microservices architecture" }],
    },
  }),
});

const reader = streamResp.body!.getReader();
const decoder = new TextDecoder();
while (true) {
  const { done, value } = await reader.read();
  if (done) break;
  const chunk = decoder.decode(value);
  for (const line of chunk.split("\n")) {
    if (line.startsWith("data: ")) {
      const event = JSON.parse(line.slice(6));
      if (event.params.chunk) {
        process.stdout.write(event.params.chunk.content);
      }
      if (event.params.task.state === "completed") {
        console.log("\n✅ Stream completed");
      }
    }
  }
}

Python — LangChain A2A Integration

"""
LangChain integration — Use OmniRoute A2A as a custom LLM.
"""
from langchain.llms.base import BaseLLM
from langchain.schema import LLMResult, Generation
import requests
from typing import List, Optional

class OmniRouteA2A(BaseLLM):
    base_url: str = "http://localhost:20128"
    api_key: str = ""
    model: str = "auto"
    combo: Optional[str] = None

    @property
    def _llm_type(self) -> str:
        return "omniroute-a2a"

    def _call(self, prompt: str, stop: Optional[List[str]] = None, **kwargs) -> str:
        response = requests.post(
            f"{self.base_url}/a2a",
            headers={
                "Content-Type": "application/json",
                "Authorization": f"Bearer {self.api_key}",
            },
            json={
                "jsonrpc": "2.0",
                "id": "langchain-1",
                "method": "message/send",
                "params": {
                    "skill": "smart-routing",
                    "messages": [{"role": "user", "content": prompt}],
                    "metadata": {
                        "model": self.model,
                        **({"combo": self.combo} if self.combo else {}),
                    },
                },
            },
        )
        result = response.json()["result"]
        return result["artifacts"][0]["content"]

    def _generate(self, prompts: List[str], stop=None, **kwargs) -> LLMResult:
        return LLMResult(
            generations=[[Generation(text=self._call(p, stop))] for p in prompts]
        )

# Usage
llm = OmniRouteA2A(
    base_url="http://localhost:20128",
    api_key="your-key",
    model="auto",
    combo="fast-coding",
)
result = llm("Write a Python function to merge two sorted lists")
print(result)

Go — A2A Client

package main

import (
	"bytes"
	"encoding/json"
	"fmt"
	"io"
	"net/http"
)

const baseURL = "http://localhost:20128"
const apiKey = "your-api-key"

type JsonRpcRequest struct {
	Jsonrpc string      `json:"jsonrpc"`
	ID      string      `json:"id"`
	Method  string      `json:"method"`
	Params  interface{} `json:"params"`
}

type JsonRpcResponse struct {
	Jsonrpc string      `json:"jsonrpc"`
	ID      string      `json:"id"`
	Result  interface{} `json:"result"`
	Error   *struct {
		Code    int    `json:"code"`
		Message string `json:"message"`
	} `json:"error"`
}

func a2aCall(method string, params interface{}) (*JsonRpcResponse, error) {
	body, _ := json.Marshal(JsonRpcRequest{
		Jsonrpc: "2.0",
		ID:      "go-1",
		Method:  method,
		Params:  params,
	})

	req, _ := http.NewRequest("POST", baseURL+"/a2a", bytes.NewReader(body))
	req.Header.Set("Content-Type", "application/json")
	req.Header.Set("Authorization", "Bearer "+apiKey)

	resp, err := http.DefaultClient.Do(req)
	if err != nil {
		return nil, err
	}
	defer resp.Body.Close()
	data, _ := io.ReadAll(resp.Body)

	var result JsonRpcResponse
	json.Unmarshal(data, &result)
	return &result, nil
}

func main() {
	// Discover agent
	resp, _ := http.Get(baseURL + "/.well-known/agent.json")
	defer resp.Body.Close()
	body, _ := io.ReadAll(resp.Body)
	fmt.Println("Agent Card:", string(body))

	// Send smart-routing task
	result, _ := a2aCall("message/send", map[string]interface{}{
		"skill":    "smart-routing",
		"messages": []map[string]string{{"role": "user", "content": "Hello from Go!"}},
		"metadata": map[string]interface{}{"model": "auto"},
	})
	out, _ := json.MarshalIndent(result.Result, "", "  ")
	fmt.Println("Result:", string(out))
}

---

Use Cases

🤖 Use Case 1: Multi-Agent Coding Pipeline

An orchestrator agent delegates code generation to OmniRoute, then passes the output to a review agent.

def coding_pipeline(task: str):
    # Step 1: Generate code via OmniRoute A2A
    code_result = a2a_send("smart-routing", [
        {"role": "user", "content": f"Write production-quality code: {task}"}
    ], metadata={"model": "auto", "role": "coding"})
    code = code_result["artifacts"][0]["content"]

    # Step 2: Review the code via OmniRoute A2A (different model)
    review_result = a2a_send("smart-routing", [
        {"role": "user", "content": f"Review this code for bugs and improvements:\n\n{code}"}
    ], metadata={"model": "auto", "role": "review"})
    review = review_result["artifacts"][0]["content"]

    # Step 3: Check costs
    print(f"Code cost: ${code_result['metadata']['cost_envelope']['actual']}")
    print(f"Review cost: ${review_result['metadata']['cost_envelope']['actual']}")

    return {"code": code, "review": review}

💡 Use Case 2: Quota-Aware Agent Swarm

Multiple agents share quota through OmniRoute, using the quota skill to coordinate.

async def quota_aware_agent(agent_name: str, task: str):
    # Check quota before starting
    quota = a2a_send("quota-management", [
        {"role": "user", "content": "Which provider has the most quota remaining?"}
    ])
    print(f"[{agent_name}] {quota['artifacts'][0]['content']}")

    # Send request with budget constraint
    result = a2a_send("smart-routing", [
        {"role": "user", "content": task}
    ], metadata={"budget": 0.05})

    policy = result["metadata"]["policy_verdict"]
    if not policy["allowed"]:
        print(f"[{agent_name}] ⚠️ Budget exceeded: {policy['reason']}")
        # Fall back to free combo
        quota = a2a_send("quota-management", [
            {"role": "user", "content": "Suggest free combos"}
        ])
        print(f"[{agent_name}] Free alternatives: {quota['artifacts'][0]['content']}")

    return result

📊 Use Case 3: Real-Time Streaming Dashboard

A monitoring agent streams responses and displays progress in real-time.

async function streamingDashboard(prompt: string) {
  const response = await fetch(`${BASE_URL}/a2a`, {
    method: "POST",
    headers: { "Content-Type": "application/json", Authorization: `Bearer ${API_KEY}` },
    body: JSON.stringify({
      jsonrpc: "2.0",
      id: "dash-1",
      method: "message/stream",
      params: { skill: "smart-routing", messages: [{ role: "user", content: prompt }] },
    }),
  });

  let totalChunks = 0;
  const reader = response.body!.getReader();
  const decoder = new TextDecoder();

  while (true) {
    const { done, value } = await reader.read();
    if (done) break;

    for (const line of decoder.decode(value).split("\n")) {
      if (line.startsWith("data: ")) {
        const event = JSON.parse(line.slice(6));
        const state = event.params.task.state;

        if (state === "working" && event.params.chunk) {
          totalChunks++;
          process.stdout.write(
            `\r[Chunk ${totalChunks}] ${event.params.chunk.content.slice(0, 50)}...`
          );
        }
        if (state === "completed") {
          const meta = event.params.metadata;
          console.log(
            `\n✅ Done | Cost: $${meta?.cost_envelope?.actual || 0} | Route: ${meta?.routing_explanation || "N/A"}`
          );
        }
        if (state === "failed") {
          console.error(`\n❌ Failed: ${event.params.metadata?.error}`);
        }
      }
    }
  }
}

🔁 Use Case 4: Task Polling Pattern

For long-running tasks, poll the task status instead of waiting synchronously.

import time

def poll_task(task_id: str, timeout: int = 60):
    """Poll task status until completion or timeout."""
    start = time.time()
    while time.time() - start < timeout:
        result = requests.post(f"{BASE_URL}/a2a", headers=HEADERS, json={
            "jsonrpc": "2.0",
            "id": "poll-1",
            "method": "tasks/get",
            "params": {"taskId": task_id},
        }).json()

        task = result["result"]["task"]
        state = task["state"]
        print(f"  Task {task_id[:8]}... state={state}")

        if state in ("completed", "failed", "cancelled"):
            return task
        time.sleep(2)

    # Timeout — cancel the task
    requests.post(f"{BASE_URL}/a2a", headers=HEADERS, json={
        "jsonrpc": "2.0",
        "id": "cancel-1",
        "method": "tasks/cancel",
        "params": {"taskId": task_id},
    })
    raise TimeoutError(f"Task {task_id} timed out after {timeout}s")

---

Error Codes

Code	Constant	Meaning
-32700	—	Parse error (invalid JSON)
-32600	INVALID_REQUEST	Invalid JSON-RPC request or unauthorized
-32601	METHOD_NOT_FOUND	Unknown method or skill
-32602	INVALID_PARAMS	Missing or invalid parameters
-32603	INTERNAL_ERROR	Skill execution failed
-32001	TASK_NOT_FOUND	Task ID not found
-32002	TASK_ALREADY_COMPLETED	Cannot modify a completed task
-32003	UNAUTHORIZED	Invalid or missing API key
-32004	BUDGET_EXCEEDED	Request exceeds configured budget
-32005	PROVIDER_UNAVAILABLE	No available providers

---

Authentication

All /a2a requests require a Bearer token via the Authorization header:

Authorization: Bearer YOUR_OMNIROUTE_API_KEY

If no API key is configured on the server (OMNIROUTE_API_KEY is empty), authentication is bypassed.

---

File Structure

src/lib/a2a/
├── taskManager.ts         # Task lifecycle (create/update/cancel/list), TTL, cleanup
├── taskExecution.ts       # Generic task executor with state management
├── streaming.ts           # SSE stream formatting, heartbeat, chunk/completion events
├── routingLogger.ts       # Routing decision logger (stats, history, retention)
└── skills/
    ├── smartRouting.ts    # Smart routing skill (routes via /v1/chat/completions)
    └── quotaManagement.ts # Quota management skill (natural-language quota queries)

src/app/a2a/
└── route.ts               # Next.js API route handler (JSON-RPC 2.0 dispatch)

open-sse/mcp-server/
└── schemas/a2a.ts         # Zod schemas (AgentCard, Task, JSON-RPC, SSE events)

---

Comparison: MCP vs A2A

Feature	MCP Server	A2A Server
Protocol	Model Context Protocol	Agent-to-Agent Protocol v0.3
Transport	stdio / HTTP	HTTP (JSON-RPC 2.0)
Discovery	Tool listing via MCP	/.well-known/agent.json
Granularity	16 individual tools	2 high-level skills
Best for	IDE agents (Cursor, VS Code)	Multi-agent systems (LangChain, CrewAI)
Streaming	Not supported	SSE via message/stream
Task tracking	No	Full lifecycle (submitted → completed)
Observability	Audit log per tool call	Cost envelope + resilience trace + policy verdict

---

Lisenssi

Part of OmniRoute — MIT License.