curl --request POST \
  --url https://api.flumes.ai/v0/recall \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "query": "<string>",
  "entity_id": "<string>",
  "namespace": "default",
  "filters": {
    "types": [
      "<string>"
    ],
    "tags_any": [
      "<string>"
    ],
    "metadata": {},
    "time_range": {
      "from": "2023-11-07T05:31:56Z",
      "to": "2023-11-07T05:31:56Z"
    }
  },
  "sort": "score_desc",
  "cursor": "<string>",
  "limit": 16,
  "retrieval": {
    "weights": {
      "semantic": 0.45,
      "bm25": 0.25,
      "graph_prior": 0.15,
      "recency_decay": 0.1,
      "confidence": 0.05
    },
    "normalization": "minmax",
    "recency_half_life_days": 45,
    "top_k": 24,
    "diversity": {
      "enable": true,
      "max_per_predicate": 3,
      "max_per_source": 5
    },
    "predicate_boosts": {},
    "entity_boosts": [
      "<string>"
    ],
    "depth": 2,
    "rerank": {
      "enable": false
    }
  },
  "return": {
    "include": [
      "facts",
      "recent_events",
      "summary",
      "sources"
    ],
    "max_facts": 12,
    "max_events": 6,
    "include_scores": false,
    "include_raw_memories": false,
    "trace": false,
    "include_structured_facts": false,
    "include_raw_matches": false
  }
}
'

import requests

url = "https://api.flumes.ai/v0/recall"

payload = {
    "query": "<string>",
    "entity_id": "<string>",
    "namespace": "default",
    "filters": {
        "types": ["<string>"],
        "tags_any": ["<string>"],
        "metadata": {},
        "time_range": {
            "from": "2023-11-07T05:31:56Z",
            "to": "2023-11-07T05:31:56Z"
        }
    },
    "sort": "score_desc",
    "cursor": "<string>",
    "limit": 16,
    "retrieval": {
        "weights": {
            "semantic": 0.45,
            "bm25": 0.25,
            "graph_prior": 0.15,
            "recency_decay": 0.1,
            "confidence": 0.05
        },
        "normalization": "minmax",
        "recency_half_life_days": 45,
        "top_k": 24,
        "diversity": {
            "enable": True,
            "max_per_predicate": 3,
            "max_per_source": 5
        },
        "predicate_boosts": {},
        "entity_boosts": ["<string>"],
        "depth": 2,
        "rerank": { "enable": False }
    },
    "return": {
        "include": ["facts", "recent_events", "summary", "sources"],
        "max_facts": 12,
        "max_events": 6,
        "include_scores": False,
        "include_raw_memories": False,
        "trace": False,
        "include_structured_facts": False,
        "include_raw_matches": False
    }
}
headers = {
    "Authorization": "Bearer <token>",
    "Content-Type": "application/json"
}

response = requests.post(url, json=payload, headers=headers)

print(response.text)

const options = {
  method: 'POST',
  headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    query: '<string>',
    entity_id: '<string>',
    namespace: 'default',
    filters: {
      types: ['<string>'],
      tags_any: ['<string>'],
      metadata: {},
      time_range: {from: '2023-11-07T05:31:56Z', to: '2023-11-07T05:31:56Z'}
    },
    sort: 'score_desc',
    cursor: '<string>',
    limit: 16,
    retrieval: {
      weights: {
        semantic: 0.45,
        bm25: 0.25,
        graph_prior: 0.15,
        recency_decay: 0.1,
        confidence: 0.05
      },
      normalization: 'minmax',
      recency_half_life_days: 45,
      top_k: 24,
      diversity: {enable: true, max_per_predicate: 3, max_per_source: 5},
      predicate_boosts: {},
      entity_boosts: ['<string>'],
      depth: 2,
      rerank: {enable: false}
    },
    return: {
      include: ['facts', 'recent_events', 'summary', 'sources'],
      max_facts: 12,
      max_events: 6,
      include_scores: false,
      include_raw_memories: false,
      trace: false,
      include_structured_facts: false,
      include_raw_matches: false
    }
  })
};

fetch('https://api.flumes.ai/v0/recall', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

<?php

$curl = curl_init();

curl_setopt_array($curl, [
  CURLOPT_URL => "https://api.flumes.ai/v0/recall",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "POST",
  CURLOPT_POSTFIELDS => json_encode([
    'query' => '<string>',
    'entity_id' => '<string>',
    'namespace' => 'default',
    'filters' => [
        'types' => [
                '<string>'
        ],
        'tags_any' => [
                '<string>'
        ],
        'metadata' => [
                
        ],
        'time_range' => [
                'from' => '2023-11-07T05:31:56Z',
                'to' => '2023-11-07T05:31:56Z'
        ]
    ],
    'sort' => 'score_desc',
    'cursor' => '<string>',
    'limit' => 16,
    'retrieval' => [
        'weights' => [
                'semantic' => 0.45,
                'bm25' => 0.25,
                'graph_prior' => 0.15,
                'recency_decay' => 0.1,
                'confidence' => 0.05
        ],
        'normalization' => 'minmax',
        'recency_half_life_days' => 45,
        'top_k' => 24,
        'diversity' => [
                'enable' => true,
                'max_per_predicate' => 3,
                'max_per_source' => 5
        ],
        'predicate_boosts' => [
                
        ],
        'entity_boosts' => [
                '<string>'
        ],
        'depth' => 2,
        'rerank' => [
                'enable' => false
        ]
    ],
    'return' => [
        'include' => [
                'facts',
                'recent_events',
                'summary',
                'sources'
        ],
        'max_facts' => 12,
        'max_events' => 6,
        'include_scores' => false,
        'include_raw_memories' => false,
        'trace' => false,
        'include_structured_facts' => false,
        'include_raw_matches' => false
    ]
  ]),
  CURLOPT_HTTPHEADER => [
    "Authorization: Bearer <token>",
    "Content-Type: application/json"
  ],
]);

$response = curl_exec($curl);
$err = curl_error($curl);

curl_close($curl);

if ($err) {
  echo "cURL Error #:" . $err;
} else {
  echo $response;
}

package main

import (
	"fmt"
	"strings"
	"net/http"
	"io"
)

func main() {

	url := "https://api.flumes.ai/v0/recall"

	payload := strings.NewReader("{\n  \"query\": \"<string>\",\n  \"entity_id\": \"<string>\",\n  \"namespace\": \"default\",\n  \"filters\": {\n    \"types\": [\n      \"<string>\"\n    ],\n    \"tags_any\": [\n      \"<string>\"\n    ],\n    \"metadata\": {},\n    \"time_range\": {\n      \"from\": \"2023-11-07T05:31:56Z\",\n      \"to\": \"2023-11-07T05:31:56Z\"\n    }\n  },\n  \"sort\": \"score_desc\",\n  \"cursor\": \"<string>\",\n  \"limit\": 16,\n  \"retrieval\": {\n    \"weights\": {\n      \"semantic\": 0.45,\n      \"bm25\": 0.25,\n      \"graph_prior\": 0.15,\n      \"recency_decay\": 0.1,\n      \"confidence\": 0.05\n    },\n    \"normalization\": \"minmax\",\n    \"recency_half_life_days\": 45,\n    \"top_k\": 24,\n    \"diversity\": {\n      \"enable\": true,\n      \"max_per_predicate\": 3,\n      \"max_per_source\": 5\n    },\n    \"predicate_boosts\": {},\n    \"entity_boosts\": [\n      \"<string>\"\n    ],\n    \"depth\": 2,\n    \"rerank\": {\n      \"enable\": false\n    }\n  },\n  \"return\": {\n    \"include\": [\n      \"facts\",\n      \"recent_events\",\n      \"summary\",\n      \"sources\"\n    ],\n    \"max_facts\": 12,\n    \"max_events\": 6,\n    \"include_scores\": false,\n    \"include_raw_memories\": false,\n    \"trace\": false,\n    \"include_structured_facts\": false,\n    \"include_raw_matches\": false\n  }\n}")

	req, _ := http.NewRequest("POST", url, payload)

	req.Header.Add("Authorization", "Bearer <token>")
	req.Header.Add("Content-Type", "application/json")

	res, _ := http.DefaultClient.Do(req)

	defer res.Body.Close()
	body, _ := io.ReadAll(res.Body)

	fmt.Println(string(body))

}

HttpResponse<String> response = Unirest.post("https://api.flumes.ai/v0/recall")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"query\": \"<string>\",\n  \"entity_id\": \"<string>\",\n  \"namespace\": \"default\",\n  \"filters\": {\n    \"types\": [\n      \"<string>\"\n    ],\n    \"tags_any\": [\n      \"<string>\"\n    ],\n    \"metadata\": {},\n    \"time_range\": {\n      \"from\": \"2023-11-07T05:31:56Z\",\n      \"to\": \"2023-11-07T05:31:56Z\"\n    }\n  },\n  \"sort\": \"score_desc\",\n  \"cursor\": \"<string>\",\n  \"limit\": 16,\n  \"retrieval\": {\n    \"weights\": {\n      \"semantic\": 0.45,\n      \"bm25\": 0.25,\n      \"graph_prior\": 0.15,\n      \"recency_decay\": 0.1,\n      \"confidence\": 0.05\n    },\n    \"normalization\": \"minmax\",\n    \"recency_half_life_days\": 45,\n    \"top_k\": 24,\n    \"diversity\": {\n      \"enable\": true,\n      \"max_per_predicate\": 3,\n      \"max_per_source\": 5\n    },\n    \"predicate_boosts\": {},\n    \"entity_boosts\": [\n      \"<string>\"\n    ],\n    \"depth\": 2,\n    \"rerank\": {\n      \"enable\": false\n    }\n  },\n  \"return\": {\n    \"include\": [\n      \"facts\",\n      \"recent_events\",\n      \"summary\",\n      \"sources\"\n    ],\n    \"max_facts\": 12,\n    \"max_events\": 6,\n    \"include_scores\": false,\n    \"include_raw_memories\": false,\n    \"trace\": false,\n    \"include_structured_facts\": false,\n    \"include_raw_matches\": false\n  }\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.flumes.ai/v0/recall")

http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true

request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"query\": \"<string>\",\n  \"entity_id\": \"<string>\",\n  \"namespace\": \"default\",\n  \"filters\": {\n    \"types\": [\n      \"<string>\"\n    ],\n    \"tags_any\": [\n      \"<string>\"\n    ],\n    \"metadata\": {},\n    \"time_range\": {\n      \"from\": \"2023-11-07T05:31:56Z\",\n      \"to\": \"2023-11-07T05:31:56Z\"\n    }\n  },\n  \"sort\": \"score_desc\",\n  \"cursor\": \"<string>\",\n  \"limit\": 16,\n  \"retrieval\": {\n    \"weights\": {\n      \"semantic\": 0.45,\n      \"bm25\": 0.25,\n      \"graph_prior\": 0.15,\n      \"recency_decay\": 0.1,\n      \"confidence\": 0.05\n    },\n    \"normalization\": \"minmax\",\n    \"recency_half_life_days\": 45,\n    \"top_k\": 24,\n    \"diversity\": {\n      \"enable\": true,\n      \"max_per_predicate\": 3,\n      \"max_per_source\": 5\n    },\n    \"predicate_boosts\": {},\n    \"entity_boosts\": [\n      \"<string>\"\n    ],\n    \"depth\": 2,\n    \"rerank\": {\n      \"enable\": false\n    }\n  },\n  \"return\": {\n    \"include\": [\n      \"facts\",\n      \"recent_events\",\n      \"summary\",\n      \"sources\"\n    ],\n    \"max_facts\": 12,\n    \"max_events\": 6,\n    \"include_scores\": false,\n    \"include_raw_memories\": false,\n    \"trace\": false,\n    \"include_structured_facts\": false,\n    \"include_raw_matches\": false\n  }\n}"

response = http.request(request)
puts response.read_body

{
  "matches": [
    {
      "memory_id": "<string>",
      "type": "<string>",
      "text": "<string>",
      "metadata": {},
      "score": 123,
      "score_components": {},
      "reason": [
        "<string>"
      ],
      "timestamp": "2023-11-07T05:31:56Z"
    }
  ],
  "retrieval_summary": {
    "weights_used": {
      "semantic": 0.45,
      "bm25": 0.25,
      "graph_prior": 0.15,
      "recency_decay": 0.1,
      "confidence": 0.05
    },
    "normalization": "<string>",
    "depth": 123,
    "candidate_counts": {
      "semantic": 123,
      "bm25": 123,
      "graph": 123,
      "union": 123,
      "after_filters": 123
    },
    "diversity_actions": {
      "clamped_by_predicate": 123,
      "clamped_by_source": 123
    },
    "degraded": true,
    "budget_cut_count": 123
  },
  "next_cursor": "<string>",
  "flags": {
    "degraded": false,
    "weights_renormalized": false
  },
  "cost": {
    "input_tokens": 0,
    "embedding": 0,
    "llm_tokens": 0,
    "retrieval_ops": 0
  },
  "raw_items": [
    {
      "namespace": "default",
      "type": "fact",
      "text": "<string>",
      "memory_id": "<string>",
      "org_id": "<string>",
      "agent_id": "<string>",
      "entity_id": "<string>",
      "metadata": {},
      "tags": [
        "<string>"
      ],
      "timestamp": "2023-11-07T05:31:56Z",
      "archived": false,
      "sensitivity": "auto",
      "subject": "<string>",
      "predicate": "<string>",
      "object": "<string>",
      "object_type": "literal",
      "unit": "<string>",
      "keys": [
        "<string>"
      ],
      "valid_from": "2023-11-07T05:31:56Z",
      "valid_to": "2023-11-07T05:31:56Z",
      "confidence": 0.5,
      "status": "active",
      "provenance": {}
    }
  ],
  "request_id": "<string>"
}

{
  "error": "unauthorized",
  "message": "<string>",
  "request_id": "<string>",
  "details": {}
}

{
  "error": "unauthorized",
  "message": "<string>",
  "request_id": "<string>",
  "details": {}
}

{
  "error": "unauthorized",
  "message": "<string>",
  "request_id": "<string>",
  "details": {}
}

{
  "error": "unauthorized",
  "message": "<string>",
  "request_id": "<string>",
  "details": {}
}