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docs(i18n): apply deep machine translation to 33 languages
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@ -4,11 +4,9 @@
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---
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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.
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> **Agent-to-Agent Protocol v0.3**— Nagbibigay-daan sa sinumang ahente ng AI na gamitin ang OmniRoute bilang isang intelligent na ahente sa pagruruta sa pamamagitan ng JSON-RPC 2.0.
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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](https://google.github.io/A2A/).
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---
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Inilalantad ng A2A Server ang OmniRoute bilang isang**first-class agent**na maaaring matuklasan ng ibang mga ahente, magtalaga ng mga gawain, at makipagtulungan sa paggamit ng [A2A Protocol](https://google.github.io/A2A/).---
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## Arkitektura
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@ -43,15 +41,12 @@ The A2A Server exposes OmniRoute as a **first-class agent** that other agents ca
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### Agent Discovery
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Every A2A-compatible agent exposes an **Agent Card** at `/.well-known/agent.json`:
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```bash
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Ang bawat A2A-compatible na ahente ay naglalantad ng**Agent Card**sa `/.well-known/agent.json`:```bash
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curl http://localhost:20128/.well-known/agent.json
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```
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**Response:**
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````
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```json
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**Tugon:**```json
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{
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"name": "OmniRoute",
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"description": "Intelligent AI gateway with auto-routing across 50+ providers",
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@ -88,7 +83,7 @@ curl http://localhost:20128/.well-known/agent.json
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"apiKeyHeader": "Authorization"
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}
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}
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```
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````
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---
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@ -96,27 +91,24 @@ curl http://localhost:20128/.well-known/agent.json
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### `message/send` — Synchronous Execution
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Send a message to a skill and receive the complete response.
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```bash
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Magpadala ng mensahe sa isang kasanayan at tanggapin ang kumpletong tugon.```bash
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curl -X POST http://localhost:20128/a2a \
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-H "Content-Type: application/json" \
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-H "Authorization: Bearer YOUR_KEY" \
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-d '{
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"jsonrpc": "2.0",
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"id": "1",
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"method": "message/send",
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"params": {
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"skill": "smart-routing",
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"messages": [{"role": "user", "content": "Write a Python hello world"}],
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"metadata": {"model": "auto", "combo": "fast-coding"}
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}
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}'
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```
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-H "Content-Type: application/json" \
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-H "Authorization: Bearer YOUR_KEY" \
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-d '{
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"jsonrpc": "2.0",
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"id": "1",
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"method": "message/send",
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"params": {
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"skill": "smart-routing",
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"messages": [{"role": "user", "content": "Write a Python hello world"}],
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"metadata": {"model": "auto", "combo": "fast-coding"}
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}
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}'
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**Response:**
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````
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```json
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**Tugon:**```json
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{
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"jsonrpc": "2.0",
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"id": "1",
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@ -133,36 +125,33 @@ curl -X POST http://localhost:20128/a2a \
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}
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}
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}
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```
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````
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### `message/stream` — SSE Streaming
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Same as `message/send` but returns Server-Sent Events for real-time streaming.
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```bash
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Kapareho ng `mensahe/ipadala` ngunit ibinabalik ang Mga Kaganapang Ipinadala ng Server para sa real-time na streaming.```bash
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curl -N -X POST http://localhost:20128/a2a \
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-H "Content-Type: application/json" \
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-H "Authorization: Bearer YOUR_KEY" \
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-d '{
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"jsonrpc": "2.0",
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"id": "1",
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"method": "message/stream",
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"params": {
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"skill": "smart-routing",
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"messages": [{"role": "user", "content": "Explain quantum computing"}]
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}
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}'
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```
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-H "Content-Type: application/json" \
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-H "Authorization: Bearer YOUR_KEY" \
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-d '{
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"jsonrpc": "2.0",
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"id": "1",
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"method": "message/stream",
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"params": {
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"skill": "smart-routing",
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"messages": [{"role": "user", "content": "Explain quantum computing"}]
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}
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}'
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**SSE Events:**
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````
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```
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**Mga Kaganapan sa SSE:**```
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data: {"jsonrpc":"2.0","method":"message/stream","params":{"task":{"id":"...","state":"working"},"chunk":{"type":"text","content":"Quantum computing..."}}}
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: heartbeat 2026-03-04T21:00:00Z
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data: {"jsonrpc":"2.0","method":"message/stream","params":{"task":{"id":"...","state":"completed"},"metadata":{...}}}
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```
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````
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### `tasks/get` — Query Task Status
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@ -188,40 +177,36 @@ curl -X POST http://localhost:20128/a2a \
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### `smart-routing`
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Routes prompts through OmniRoute's intelligent pipeline with full observability.
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Ang mga ruta ay nag-uudyok sa pamamagitan ng intelligent na pipeline ng OmniRoute na may ganap na pagmamasid.
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**Parameters (in `metadata`):**
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**Mga Parameter (sa `metadata`):**
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| Parameter | Type | Default | Description |
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| --------- | -------- | ------------ | ---------------------------------------------------------------------------------------- |
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| `model` | `string` | `"auto"` | Target model (e.g., `claude-sonnet-4`, `gpt-4o`, `auto`) |
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| `combo` | `string` | active combo | Specific combo to route through |
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| `budget` | `number` | none | Maximum cost in USD for this request |
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| `role` | `string` | none | Task role hint: `coding`, `review`, `planning`, `analysis`, `debugging`, `documentation` |
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| Parameter | Uri | Default | Paglalarawan |
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| ---------- | -------- | -------------- | ---------------------------------------------------------------------------------------------------------- |
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| `modelo` | `string` | `"awto"` | Target na modelo (hal., `claude-sonnet-4`, `gpt-4o`, `auto`) |
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| `combo` | `string` | aktibong combo | Tukoy na combo na dadaan sa |
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| `badyet` | `numero` | wala | Pinakamataas na halaga sa USD para sa kahilingang ito |
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| `gampanin` | `string` | wala | Pahiwatig ng tungkulin ng gawain: `coding`, `review`, `planning`, `analysis`, `debugging`, `documentation` |
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**Returns:**
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**Pagbabalik:**
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| Field | Description |
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| ------------------------------ | --------------------------------------------------------- |
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| `artifacts[].content` | The LLM response text |
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| `metadata.routing_explanation` | Human-readable explanation of routing decision |
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| `metadata.cost_envelope` | Estimated vs actual cost with currency |
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| `metadata.resilience_trace` | Array of events (primary_selected, fallback_needed, etc.) |
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| `metadata.policy_verdict` | Whether the request was allowed and why |
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| Patlang | Paglalarawan |
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| ------------------------------ | ----------------------------------------------------------------- | ---------------------- |
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| `artifacts[].content` | Ang teksto ng tugon ng LLM |
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| `metadata.routing_explanation` | Nababasa ng tao na paliwanag ng desisyon sa pagruruta |
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| `metadata.cost_envelope` | Tinantyang vs aktwal na gastos sa currency |
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| `metadata.resilience_trace` | Array ng mga kaganapan (primary_selected, fallback_needed, atbp.) |
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| `metadata.policy_verdict` | Kung pinayagan ang kahilingan at bakit | ### `quota-management` |
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### `quota-management`
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Sumasagot sa mga query sa natural na wika tungkol sa mga quota ng provider.
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Answers natural-language queries about provider quotas.
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**Mga uri ng query (hinuha mula sa nilalaman ng mensahe):**
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**Query types (inferred from message content):**
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| Query Pattern | Response Type |
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| ---------------------------------------------- | -------------------------------------------------------- |
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| Contains `"ranking"`, `"most quota"`, `"best"` | Providers ranked by remaining quota |
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| Contains `"free"`, `"suggest"` | Lists free combos or suggests free-tier providers |
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| Default | Full quota summary with warnings for low-quota providers |
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---
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| Pattern ng Query | Uri ng Tugon |
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| ------------------------------------------------------------- | ------------------------------------------------------------------------------ | --- |
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| Naglalaman ng `"ranggo"`, `"pinaka quota"`, `"pinakamahusay"` | Niraranggo ang mga provider ayon sa natitirang quota |
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| Naglalaman ng `"libre"`, `"suggest"` | Naglilista ng mga libreng combo o nagmumungkahi ng mga free-tier na provider |
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| Default | Buong buod ng quota na may mga babala para sa mga provider na mababa ang quota | --- |
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## Task Lifecycle
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@ -231,19 +216,17 @@ submitted ──→ working ──→ completed
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──────────→ cancelled
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```
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| State | Description |
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| ----------- | ----------------------------------------------------- |
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| `submitted` | Task created, queued for execution |
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| `working` | Skill handler is executing |
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| `completed` | Execution succeeded, artifacts available |
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| `failed` | Execution failed or task expired (TTL: 5 min default) |
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| `cancelled` | Cancelled by client via `tasks/cancel` |
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| Estado | Paglalarawan |
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| -------------- | -------------------------------------------------------------------- |
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| `naisumite` | Nagawa ang gawain, nakapila para sa pagpapatupad |
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| `nagtatrabaho` | Ang handler ng kasanayan ay nagsasagawa ng |
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| `nakumpleto` | Nagtagumpay ang pagpapatupad, magagamit ang mga artifact |
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| `nabigo` | Nabigo ang pagpapatupad o nag-expire ang gawain (TTL: 5 min default) |
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| `kinansela` | Kinansela ng kliyente sa pamamagitan ng `tasks/cancel` |
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- Terminal states: `completed`, `failed`, `cancelled` (no further transitions)
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- Expired tasks in `submitted` or `working` are auto-marked as `failed`
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- Tasks are garbage-collected after 2× TTL
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---
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- Terminal states: `completed`, `failed`, `cancelled` (walang karagdagang transition)
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- Ang mga nag-expire na gawain sa `isumite` o `gumagana` ay awtomatikong minarkahan bilang `bigo`
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- Ang mga gawain ay kinokolekta ng basura pagkatapos ng 2× TTL---
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## Client Examples
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@ -541,15 +524,12 @@ func main() {
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### 🤖 Use Case 1: Multi-Agent Coding Pipeline
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An orchestrator agent delegates code generation to OmniRoute, then passes the output to a review agent.
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```python
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def coding_pipeline(task: str):
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# Step 1: Generate code via OmniRoute A2A
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code_result = a2a_send("smart-routing", [
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{"role": "user", "content": f"Write production-quality code: {task}"}
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], metadata={"model": "auto", "role": "coding"})
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code = code_result["artifacts"][0]["content"]
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Ang isang ahente ng orkestra ay nagtatalaga ng pagbuo ng code sa OmniRoute, pagkatapos ay ipinapasa ang output sa isang ahente ng pagsusuri.```python
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def coding_pipeline(task: str): # Step 1: Generate code via OmniRoute A2A
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code_result = a2a_send("smart-routing", [
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{"role": "user", "content": f"Write production-quality code: {task}"}
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], metadata={"model": "auto", "role": "coding"})
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code = code_result["artifacts"][0]["content"]
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# Step 2: Review the code via OmniRoute A2A (different model)
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review_result = a2a_send("smart-routing", [
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print(f"Review cost: ${review_result['metadata']['cost_envelope']['actual']}")
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return {"code": code, "review": review}
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```
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````
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### 💡 Use Case 2: Quota-Aware Agent Swarm
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Multiple agents share quota through OmniRoute, using the quota skill to coordinate.
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```python
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Maraming ahente ang nagbabahagi ng quota sa pamamagitan ng OmniRoute, gamit ang kakayahan sa quota para mag-coordinate.```python
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async def quota_aware_agent(agent_name: str, task: str):
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# Check quota before starting
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quota = a2a_send("quota-management", [
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@ -591,32 +570,30 @@ async def quota_aware_agent(agent_name: str, task: str):
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print(f"[{agent_name}] Free alternatives: {quota['artifacts'][0]['content']}")
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return result
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```
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````
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### 📊 Use Case 3: Real-Time Streaming Dashboard
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A monitoring agent streams responses and displays progress in real-time.
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```typescript
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Ang isang ahente sa pagsubaybay ay nag-stream ng mga tugon at nagpapakita ng pag-unlad sa real-time.```typescript
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async function streamingDashboard(prompt: string) {
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const response = await fetch(`${BASE_URL}/a2a`, {
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method: "POST",
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headers: { "Content-Type": "application/json", Authorization: `Bearer ${API_KEY}` },
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body: JSON.stringify({
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jsonrpc: "2.0",
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id: "dash-1",
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method: "message/stream",
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params: { skill: "smart-routing", messages: [{ role: "user", content: prompt }] },
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}),
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});
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body: JSON.stringify({
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jsonrpc: "2.0",
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id: "dash-1",
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method: "message/stream",
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params: { skill: "smart-routing", messages: [{ role: "user", content: prompt }] },
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}),
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});
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let totalChunks = 0;
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const reader = response.body!.getReader();
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const decoder = new TextDecoder();
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let totalChunks = 0;
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const reader = response.body!.getReader();
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const decoder = new TextDecoder();
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while (true) {
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const { done, value } = await reader.read();
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if (done) break;
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while (true) {
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const { done, value } = await reader.read();
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if (done) break;
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for (const line of decoder.decode(value).split("\n")) {
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if (line.startsWith("data: ")) {
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@ -640,15 +617,15 @@ async function streamingDashboard(prompt: string) {
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}
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}
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}
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}
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}
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```
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}
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````
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### 🔁 Use Case 4: Task Polling Pattern
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For long-running tasks, poll the task status instead of waiting synchronously.
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```python
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Para sa mga matagal nang gawain, i-poll ang status ng gawain sa halip na maghintay nang sabay-sabay.```python
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import time
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def poll_task(task_id: str, timeout: int = 60):
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@ -678,75 +655,71 @@ def poll_task(task_id: str, timeout: int = 60):
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"params": {"taskId": task_id},
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})
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raise TimeoutError(f"Task {task_id} timed out after {timeout}s")
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```
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````
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---
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## Error Codes
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| Code | Constant | Meaning |
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| ------ | ------------------------ | ---------------------------------------- |
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| -32700 | — | Parse error (invalid JSON) |
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| -32600 | `INVALID_REQUEST` | Invalid JSON-RPC request or unauthorized |
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| -32601 | `METHOD_NOT_FOUND` | Unknown method or skill |
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| -32602 | `INVALID_PARAMS` | Missing or invalid parameters |
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| -32603 | `INTERNAL_ERROR` | Skill execution failed |
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| -32001 | `TASK_NOT_FOUND` | Task ID not found |
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| -32002 | `TASK_ALREADY_COMPLETED` | Cannot modify a completed task |
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| -32003 | `UNAUTHORIZED` | Invalid or missing API key |
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| -32004 | `BUDGET_EXCEEDED` | Request exceeds configured budget |
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| -32005 | `PROVIDER_UNAVAILABLE` | No available providers |
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---
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| Code | pare-pareho | Ibig sabihin |
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| ------ | ------------------------ | ------------------------------------------------------ | --- |
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| -32700 | — | Error sa pag-parse (di-wastong JSON) |
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| -32600 | `INVALID_REQUEST` | Di-wastong kahilingan sa JSON-RPC o hindi awtorisadong |
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| -32601 | `METHOD_NOT_FOUND` | Hindi alam na paraan o kasanayan |
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| -32602 | `INVALID_PARAMS` | Nawawala o di-wastong mga parameter |
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| -32603 | `INTERNAL_ERROR` | Nabigo ang pagpapatupad ng kasanayan |
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| -32001 | `GAWAIN_HINDI_NATAGPUAN` | Hindi nakita ang Task ID |
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| -32002 | `KUMPLETO_MAG-GAWAIN` | Hindi mabago ang isang nakumpletong gawain |
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| -32003 | `HINDI AUTHORIZED` | Di-wasto o nawawala ang API key |
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| -32004 | `BUDGET_EXCEEDED` | Ang kahilingan ay lumampas sa naka-configure na badyet |
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| -32005 | `PROVIDER_UNAVAILABLE` | Walang available na provider | --- |
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## Authentication
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All `/a2a` requests require a Bearer token via the `Authorization` header:
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```
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Lahat ng hiling na `/a2a` ay nangangailangan ng isang Bearer token sa pamamagitan ng header ng `Authorization`:```
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Authorization: Bearer YOUR_OMNIROUTE_API_KEY
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```
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||||
If no API key is configured on the server (`OMNIROUTE_API_KEY` is empty), authentication is bypassed.
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---
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||||
Kung walang API key na naka-configure sa server (ang `OMNIROUTE_API_KEY` ay walang laman), ang pagpapatotoo ay na-bypass.---
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## File Structure
|
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|
||||
```
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||||
src/lib/a2a/
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├── taskManager.ts # Task lifecycle (create/update/cancel/list), TTL, cleanup
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||||
├── taskExecution.ts # Generic task executor with state management
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||||
├── streaming.ts # SSE stream formatting, heartbeat, chunk/completion events
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├── routingLogger.ts # Routing decision logger (stats, history, retention)
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├── taskManager.ts # Task lifecycle (create/update/cancel/list), TTL, cleanup
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├── taskExecution.ts # Generic task executor with state management
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||||
├── 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)
|
||||
├── 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)
|
||||
└── 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)
|
||||
└── schemas/a2a.ts # Zod schemas (AgentCard, Task, JSON-RPC, SSE events)
|
||||
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## Comparison: MCP vs A2A
|
||||
|
||||
| Feature | MCP Server | A2A Server |
|
||||
| Tampok | 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 |
|
||||
|
||||
---
|
||||
|**Protocol**| Model Context Protocol | Agent-to-Agent Protocol v0.3 |
|
||||
|**Sasakyan**| stdio / HTTP | HTTP (JSON-RPC 2.0) |
|
||||
|**Pagtuklas**| Listahan ng tool sa pamamagitan ng MCP | `/.well-known/agent.json` |
|
||||
|**Granularity**| 16 indibidwal na tool | 2 mataas na antas ng kasanayan |
|
||||
|**Pinakamahusay para sa**| Mga ahente ng IDE (Cursor, VS Code) | Multi-agent system (LangChain, CrewAI) |
|
||||
|**Pag-stream**| Hindi suportado | SSE sa pamamagitan ng `mensahe/stream` |
|
||||
|**Pagsubaybay sa gawain**| Hindi | Buong lifecycle (naisumite → nakumpleto) |
|
||||
|**Pagmamasid**| Audit log sa bawat tool call | Sobre ng gastos + bakas ng katatagan + hatol ng patakaran |---
|
||||
|
||||
## Lisensya
|
||||
|
||||
Part of [OmniRoute](https://github.com/diegosouzapw/OmniRoute) — MIT License.
|
||||
Bahagi ng [OmniRoute](https://github.com/diegosouzapw/OmniRoute) — Lisensya ng MIT.
|
||||
```
|
||||
|
|
|
|||
Loading…
Add table
Add a link
Reference in a new issue