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Answers
USE FOR AI-grounded answers via OpenAI-compatible /chat/completions. Two modes: single-search (fast) or deep research (enable_research=true, thorough multi-search). Streaming/blocking. Citations.
ou envoie-le directement à ton agent.
Installer dans ton projet
$ npx arboris-cli@latest install answersBrave
affaan-m/ECC
Contenu à copier
---
name: answers
description: "USE FOR AI-grounded answers via OpenAI-compatible /chat/completions. Two modes: single-search (fast) or deep research (enable_research=true, thorough multi-search). Streaming/blocking. Citations."
metadata:
origin: Brave
---
# Answers — AI Grounding
> **Requires API Key**: Get one at https://api.search.brave.com
>
> **Plan**: Included in the **Answers** plan. See https://api-dashboard.search.brave.com/app/subscriptions/subscribe
## When to Use
| Use Case | Skill | Why |
|--|--|--|
| Quick factual answer (raw context) | `llm-context` | Single search, returns raw context for YOUR LLM |
| Fast AI answer with citations | **`answers`** (single-search) | streaming, citations |
| Thorough multi-search deep research | **`answers`** (research mode) | Iterative deep research, synthesized cited answer |
**This endpoint** (`/res/v1/chat/completions`) supports two modes:
- **Single-search** (default): Fast AI-grounded answer from a single search. Supports `enable_citations`.
- **Research** (`enable_research=true`): Multi-iteration deep research with progress events and synthesized cited answer.
## Quick Start (cURL)
### Blocking (Single-Search)
```bash
curl -X POST "https://api.search.brave.com/res/v1/chat/completions" \
-H "Content-Type: application/json" \
-H "X-Subscription-Token: ${BRAVE_SEARCH_API_KEY}" \
-d '{
"messages": [{"role": "user", "content": "How does the James Webb Space Telescope work?"}],
"model": "brave",
"stream": false
}'
```
### Streaming with Citations (Single-Search)
```bash
curl -X POST "https://api.search.brave.com/res/v1/chat/completions" \
-H "Content-Type: application/json" \
-H "X-Subscription-Token: ${BRAVE_SEARCH_API_KEY}" \
-d '{
"messages": [{"role": "user", "content": "What are recent breakthroughs in fusion energy?"}],
"model": "brave",
"stream": true,
"enable_citations": true
}'
```
### Research Mode
```bash
curl -X POST "https://api.search.brave.com/res/v1/chat/completions" \
-H "Content-Type: application/json" \
-H "X-Subscription-Token: ${BRAVE_SEARCH_API_KEY}" \
-d '{
"messages": [{"role": "user", "content": "Compare quantum computing approaches"}],
"model": "brave",
"stream": true,
"enable_research": true,
"research_maximum_number_of_iterations": 3,
"research_maximum_number_of_seconds": 120
}'
```
## Endpoint
```http
POST https://api.search.brave.com/res/v1/chat/completions
```
**Authentication**: `X-Subscription-Token: <API_KEY>` header (or `Authorization: Bearer <API_KEY>`)
**SDK Compatible**: Works with OpenAI SDK via `base_url="https://api.search.brave.com/res/v1"`
## Two Modes
| Feature | Single-Search (default) | Research (`enable_research=true`) |
|--|--|--|
| Speed | Fast | Slow |
| Searches | 1 | Multiple (iterative) |
| Streaming | Optional (`stream=true/false`) | **Required** (`stream=true`) |
| Citations | `enable_citations=true` (streaming only) | Built-in (in `<answer>` tag) |
| Progress events | No | Yes (`<progress>` tags) |
| Blocking response | Yes (`stream=false`) | No |
## Parameters
### Standard Parameters
| Parameter | Type | Required | Default | Description |
|--|--|--|--|--|
| `messages` | array | **Yes** | - | Single user message (exactly 1 message) |
| `model` | string | **Yes** | - | Use `"brave"` |
| `stream` | bool | No | true | Enable SSE streaming |
| `country` | string | No | "US" | Search country (2-letter country code or `ALL`) |
| `language` | string | No | "en" | Response language |
| `safesearch` | string | No | "moderate" | Search safety level (`off`, `moderate`, `strict`) |
| `max_completion_tokens` | int | No | null | Upper bound on completion tokens |
| `enable_citations` | bool | No | false | Include inline citation tags (single-search streaming only) |
| `web_search_options` | object | No | null | OpenAI-compatible; `search_context_size`: `low`, `medium`, `high` |
### Research Parameters
| Parameter | Type | Required | Default | Description |
|--|--|--|--|--|
| `enable_research` | bool | No | `false` | **Enable research mode** |
| `research_allow_thinking` | bool | No | `true` | Enable extended thinking |
| `research_maximum_number_of_tokens_per_query` | int | No | `8192` | Max tokens per query (1024-16384) |
| `research_maximum_number_of_queries` | int | No | `20` | Max total search queries (1-50) |
| `research_maximum_number_of_iterations` | int | No | `4` | Max research iterations (1-5) |
| `research_maximum_number_of_seconds` | int | No | `180` | Time budget in seconds (1-300) |
| `research_maximum_number_of_results_per_query` | int | No | `60` | Results per search query (1-60) |
### Constraints (IMPORTANT)
| Constraint | Error |
|--|--|
| `enable_research=true` requires `stream=true` | "Blocking response doesn't support 'enable_research' option" |
| `enable_research=true` incompatible with `enable_citations=true` | "Research mode doesn't support 'enable_citations' option" |
| `enable_citations=true` requires `stream=true` | "Blocking response doesn't support 'enable_citations' option" |
## OpenAI SDK Usage
### Blocking (Single-Search)
```python
from openai import OpenAI
client = OpenAI(
base_url="https://api.search.brave.com/res/v1",
api_key="your-brave-api-key",
)
response = client.chat.completions.create(
model="brave",
messages=[{"role": "user", "content": "How does the James Webb Space Telescope work?"}],
stream=False,
)
print(response.choices[0].message.content)
```
### Streaming with Citations (Single-Search)
```python
from openai import OpenAI
client = OpenAI(
base_url="https://api.search.brave.com/res/v1",
api_key="your-brave-api-key",
)
stream = client.chat.completions.create(
model="brave",
messages=[{"role": "user", "content": "What are the current trends in renewable energy?"}],
stream=True,
extra_body={"enable_citations": True}
)
for chunk in stream:
if chunk.choices[0].delta.content:
print(chunk.choices[0].delta.content, end="")
```
### Research Mode
```python
from openai import AsyncOpenAI
client = AsyncOpenAI(
base_url="https://api.search.brave.com/res/v1",
api_key="your-brave-api-key",
)
stream = await client.chat.completions.create(
model="brave",
messages=[{"role": "user", "content": "Compare quantum computing approaches"}],
stream=True,
extra_body={
"enable_research": True,
"research_maximum_number_of_iterations": 3,
"research_maximum_number_of_seconds": 120
}
)
async for chunk in stream:
if chunk.choices[0].delta.content:
print(chunk.choices[0].delta.content, end="", flush=True)
```
## Response Format
### Blocking Response (`stream=false`, single-search only)
Standard OpenAI-compatible JSON:
```json
{
"id": "chatcmpl-...",
"object": "chat.completion",
"choices": [{"message": {"role": "assistant", "content": "The James Webb Space Telescope works by..."}, "index": 0, "finish_reason": "stop"}],
"usage": {"prompt_tokens": 10, "completion_tokens": 50, "total_tokens": 60}
}
```
### Streaming Response
SSE response with OpenAI-compatible chunks:
```text
data: {"id":"chatcmpl-...","object":"chat.completion.chunk","choices":[{"delta":{"content":"Based on"},"index":0}]}
data: {"id":"chatcmpl-...","object":"chat.completion.chunk","choices":[{"delta":{"content":" recent research"},"index":0}]}
data: [DONE]
```
### Streaming Tags by Mode
#### Single-Search (with `enable_citations=true`)
| Tag | Purpose |
|--|--|
| `<citation>` | Inline citation references |
| `<usage>` | JSON cost/billing data |
#### Research Mode
| Tag | Purpose | Keep? |
|--|--|--|
| `<queries>` | Generated search queries | Debug |
| `<analyzing>` | URL counts (verbose) | Debug |
| `<thinking>` | URL selection reasoning | Debug |
| `<progress>` | Stats: time, iterations, queries, URLs analyzed, tokens | Monitor |
| `<blindspots>` | Knowledge gaps identified | **Yes** |
| `<answer>` | Final synthesized answer (only the final answer is emitted; intermediate drafts are dropped) | **Yes** |
| `<usage>` | JSON cost/billing data (included at end of streaming response) | **Yes** |
### Usage Tag Format
The `<usage>` tag contains JSON-stringified cost and token data:
```text
<usage>{"X-Request-Requests":1,"X-Request-Queries":8,"X-Request-Tokens-In":15000,"X-Request-Tokens-Out":2000,"X-Request-Requests-Cost":0.005,"X-Request-Queries-Cost":0.032,"X-Request-Tokens-In-Cost":0.075,"X-Request-Tokens-Out-Cost":0.01,"X-Request-Total-Cost":0.122}</usage>
```
## Use Cases
- **Chat interface integration**: Drop-in OpenAI SDK replacement with web-grounded answers. Set `base_url="https://api.search.brave.com/res/v1"`.
- **Deep research / comprehensive topic research**: Use research mode (`enable_research=true`) for complex questions needing multi-source synthesis (e.g., "Compare approaches to nuclear fusion").
- **OpenAI SDK drop-in**: Same SDK, same streaming format — just change `base_url` and `api_key`. Works with both sync and async clients.
- **Cited answers**: Enable `enable_citations=true` in single-search mode for inline citation tags, or use research mode which automatically includes citations in its answer.
## Notes
- **Timeout**: Set client timeout to at least 30s for single-search, 300s (5 min) for research
- **Single message**: The `messages` array must contain exactly 1 user message
- **Cost monitoring**: Parse the `<usage>` tag from streaming responses to track costsColle ce Markdown dans ton agent ou utilise les boutons ci-dessus pour l’écrire dans ton projet.
Ce que fait Answers
**Single-search** (default): Fast AI-grounded answer from a single search. Supports `enable_citations`.
**Research** (`enable_research=true`): Multi-iteration deep research with progress events and synthesized cited answer.
**Chat interface integration**: Drop-in OpenAI SDK replacement with web-grounded answers. Set `base_url="https://api.search.brave.com/res/v1"`.
**Deep research / comprehensive topic research**: Use research mode (`enable_research=true`) for complex questions needing multi-source synthesis (e.g., "Compare approaches to nuclear fusion").
Comment utiliser Answers
1
Copie le prompt
Un clic copie le prompt packagé (ou l'envoie à ton agent).
2
L'agent installe le skill
Il ajoute le SKILL.md et ses ressources à ton projet.
3
Activation automatique
Le skill s'active dès que le contexte correspond.
Déclencheurs pour Answers
Dis simplement à ton agent quelque chose comme :
Applique le skill answers à cette tâche
Utilise answers pour améliorer cette implémentation
Passe en revue ce sujet avec answers
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