Get all chat histories with filters
curl --request POST \
--url https://api.devic.ai/v1/assistants/chats \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '
{
"assistantSpecializationIdentifier": "550e8400-e29b-41d4-a716-446655440000",
"name": "Solar Analysis Discussion",
"archived": false,
"llm": "gpt-4.1",
"createdAfter": 1609459200000,
"createdBefore": 1640995200000,
"minInputTokens": 100,
"minOutputTokens": 50,
"tenantId": "tenant_12345",
"subtenantId": "user_67890",
"metadata": {
"promptTemplateParams": {
"userId": "123"
}
},
"tags": [
"project-alpha",
"high-priority"
]
}
'import requests
url = "https://api.devic.ai/v1/assistants/chats"
payload = {
"assistantSpecializationIdentifier": "550e8400-e29b-41d4-a716-446655440000",
"name": "Solar Analysis Discussion",
"archived": False,
"llm": "gpt-4.1",
"createdAfter": 1609459200000,
"createdBefore": 1640995200000,
"minInputTokens": 100,
"minOutputTokens": 50,
"tenantId": "tenant_12345",
"subtenantId": "user_67890",
"metadata": { "promptTemplateParams": { "userId": "123" } },
"tags": ["project-alpha", "high-priority"]
}
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({
assistantSpecializationIdentifier: '550e8400-e29b-41d4-a716-446655440000',
name: 'Solar Analysis Discussion',
archived: false,
llm: 'gpt-4.1',
createdAfter: 1609459200000,
createdBefore: 1640995200000,
minInputTokens: 100,
minOutputTokens: 50,
tenantId: 'tenant_12345',
subtenantId: 'user_67890',
metadata: {promptTemplateParams: {userId: '123'}},
tags: ['project-alpha', 'high-priority']
})
};
fetch('https://api.devic.ai/v1/assistants/chats', 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.devic.ai/v1/assistants/chats",
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([
'assistantSpecializationIdentifier' => '550e8400-e29b-41d4-a716-446655440000',
'name' => 'Solar Analysis Discussion',
'archived' => false,
'llm' => 'gpt-4.1',
'createdAfter' => 1609459200000,
'createdBefore' => 1640995200000,
'minInputTokens' => 100,
'minOutputTokens' => 50,
'tenantId' => 'tenant_12345',
'subtenantId' => 'user_67890',
'metadata' => [
'promptTemplateParams' => [
'userId' => '123'
]
],
'tags' => [
'project-alpha',
'high-priority'
]
]),
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.devic.ai/v1/assistants/chats"
payload := strings.NewReader("{\n \"assistantSpecializationIdentifier\": \"550e8400-e29b-41d4-a716-446655440000\",\n \"name\": \"Solar Analysis Discussion\",\n \"archived\": false,\n \"llm\": \"gpt-4.1\",\n \"createdAfter\": 1609459200000,\n \"createdBefore\": 1640995200000,\n \"minInputTokens\": 100,\n \"minOutputTokens\": 50,\n \"tenantId\": \"tenant_12345\",\n \"subtenantId\": \"user_67890\",\n \"metadata\": {\n \"promptTemplateParams\": {\n \"userId\": \"123\"\n }\n },\n \"tags\": [\n \"project-alpha\",\n \"high-priority\"\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.devic.ai/v1/assistants/chats")
.header("Authorization", "Bearer <token>")
.header("Content-Type", "application/json")
.body("{\n \"assistantSpecializationIdentifier\": \"550e8400-e29b-41d4-a716-446655440000\",\n \"name\": \"Solar Analysis Discussion\",\n \"archived\": false,\n \"llm\": \"gpt-4.1\",\n \"createdAfter\": 1609459200000,\n \"createdBefore\": 1640995200000,\n \"minInputTokens\": 100,\n \"minOutputTokens\": 50,\n \"tenantId\": \"tenant_12345\",\n \"subtenantId\": \"user_67890\",\n \"metadata\": {\n \"promptTemplateParams\": {\n \"userId\": \"123\"\n }\n },\n \"tags\": [\n \"project-alpha\",\n \"high-priority\"\n ]\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.devic.ai/v1/assistants/chats")
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 \"assistantSpecializationIdentifier\": \"550e8400-e29b-41d4-a716-446655440000\",\n \"name\": \"Solar Analysis Discussion\",\n \"archived\": false,\n \"llm\": \"gpt-4.1\",\n \"createdAfter\": 1609459200000,\n \"createdBefore\": 1640995200000,\n \"minInputTokens\": 100,\n \"minOutputTokens\": 50,\n \"tenantId\": \"tenant_12345\",\n \"subtenantId\": \"user_67890\",\n \"metadata\": {\n \"promptTemplateParams\": {\n \"userId\": \"123\"\n }\n },\n \"tags\": [\n \"project-alpha\",\n \"high-priority\"\n ]\n}"
response = http.request(request)
puts response.read_body{
"histories": [
{
"chatUID": "550e8400-e29b-41d4-a716-446655440000",
"clientUID": "f9a44905-3193-4bd2-a81a-71156aa7eb66",
"userUID": "7a735eda-69e7-420b-9507-6abf80ad2e34",
"name": "Solar panel recommendations",
"archived": true,
"assistantSpecializationIdentifier": "550e8400-e29b-41d4-a716-446655440000",
"chatContent": [
{
"uid": "75ecbcfc-a3be-43ba-8da6-b3e16e8d7280",
"chatUid": "550e8400-e29b-41d4-a716-446655440000",
"role": "user",
"content": {
"message": "I would recommend a 450 W monocrystalline panel.",
"data": {},
"files": [
{
"name": "invoice.pdf",
"donwloadUrl": "https://files.devic.ai/uploads/invoice.pdf",
"fileType": "DOCUMENT"
}
]
},
"timestamp": 1706000000000,
"userUID": "api-key:42",
"summary": "The user asks which panels to install on a 60 m2 roof.",
"contentSource": "finish_tool",
"tool_calls": [
{
"id": "call_abc123",
"type": "function",
"function": {
"name": "get_user_location",
"arguments": "{}"
}
}
],
"tool_call_id": "call_abc123",
"latencyMs": 1045,
"messageTokenUsage": {
"inputTokens": 123,
"outputTokens": 123,
"inputCachedTokens": 123,
"inputCacheWriteTokens": 123,
"outputCachedTokens": 123,
"reasoningOutputTokens": 123,
"totalTokens": 123,
"provider": "<string>",
"model": "<string>"
},
"messageCost": {
"inputCost": 123,
"outputCost": 123,
"inputCachedCost": 123,
"inputCacheWriteCost": 123,
"outputCachedCost": 123,
"reasoningOutputCost": 123,
"totalCost": 123,
"currency": "USD",
"calculatedAt": 123
}
}
],
"creationTimestampMs": 1789630543006,
"lastEditTimestampMs": 1789630572077,
"llm": "gpt-4.1",
"provider": "open-ai",
"contextWindow": 1050000,
"inputTokens": 6380,
"outputTokens": 372,
"tokenUsage": {
"model": "<string>",
"provider": "<string>",
"inputTokens": 123,
"outputTokens": 123,
"inputCachedTokens": 123,
"inputCacheWriteTokens": 123,
"outputCachedTokens": 123,
"reasoningOutputTokens": 123,
"totalCachedTokens": 123,
"cost": {
"inputCost": 123,
"outputCost": 123,
"inputCachedCost": 123,
"inputCacheWriteCost": 123,
"outputCachedCost": 123,
"reasoningOutputCost": 123,
"totalCost": 123
},
"secondaryCost": 123,
"secondaryInputTokens": 123,
"secondaryOutputTokens": 123,
"secondaryByOperation": {},
"pricingTimestamp": 123
},
"metadata": {},
"tenantId": "tenant_12345",
"tags": [
"support",
"onboarding"
],
"stopReason": "max_chat_messages_reached",
"triggerSource": {},
"guardrailResults": {},
"handedOff": true,
"handedOffSubThreadId": "64f5a5b8c123456789abcdef",
"pausedUntil": 123,
"pausedReason": "<string>",
"recalledMemories": [
{}
],
"coreMemories": [
{}
],
"compactions": [
{}
]
}
],
"total": 42,
"offset": 0,
"limit": 10
}{
"error": "<string>",
"message": "<string>",
"details": {}
}Assistants
Get all chat histories with filters
A page of conversations across every assistant of the account, narrowed by the filters in the body. Send {} when you want no filter. Ask for omitContent=true when you only need to list them: it leaves chatContent out, which is most of the payload.
POST
/
v1
/
assistants
/
chats
Get all chat histories with filters
curl --request POST \
--url https://api.devic.ai/v1/assistants/chats \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '
{
"assistantSpecializationIdentifier": "550e8400-e29b-41d4-a716-446655440000",
"name": "Solar Analysis Discussion",
"archived": false,
"llm": "gpt-4.1",
"createdAfter": 1609459200000,
"createdBefore": 1640995200000,
"minInputTokens": 100,
"minOutputTokens": 50,
"tenantId": "tenant_12345",
"subtenantId": "user_67890",
"metadata": {
"promptTemplateParams": {
"userId": "123"
}
},
"tags": [
"project-alpha",
"high-priority"
]
}
'import requests
url = "https://api.devic.ai/v1/assistants/chats"
payload = {
"assistantSpecializationIdentifier": "550e8400-e29b-41d4-a716-446655440000",
"name": "Solar Analysis Discussion",
"archived": False,
"llm": "gpt-4.1",
"createdAfter": 1609459200000,
"createdBefore": 1640995200000,
"minInputTokens": 100,
"minOutputTokens": 50,
"tenantId": "tenant_12345",
"subtenantId": "user_67890",
"metadata": { "promptTemplateParams": { "userId": "123" } },
"tags": ["project-alpha", "high-priority"]
}
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({
assistantSpecializationIdentifier: '550e8400-e29b-41d4-a716-446655440000',
name: 'Solar Analysis Discussion',
archived: false,
llm: 'gpt-4.1',
createdAfter: 1609459200000,
createdBefore: 1640995200000,
minInputTokens: 100,
minOutputTokens: 50,
tenantId: 'tenant_12345',
subtenantId: 'user_67890',
metadata: {promptTemplateParams: {userId: '123'}},
tags: ['project-alpha', 'high-priority']
})
};
fetch('https://api.devic.ai/v1/assistants/chats', 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.devic.ai/v1/assistants/chats",
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([
'assistantSpecializationIdentifier' => '550e8400-e29b-41d4-a716-446655440000',
'name' => 'Solar Analysis Discussion',
'archived' => false,
'llm' => 'gpt-4.1',
'createdAfter' => 1609459200000,
'createdBefore' => 1640995200000,
'minInputTokens' => 100,
'minOutputTokens' => 50,
'tenantId' => 'tenant_12345',
'subtenantId' => 'user_67890',
'metadata' => [
'promptTemplateParams' => [
'userId' => '123'
]
],
'tags' => [
'project-alpha',
'high-priority'
]
]),
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.devic.ai/v1/assistants/chats"
payload := strings.NewReader("{\n \"assistantSpecializationIdentifier\": \"550e8400-e29b-41d4-a716-446655440000\",\n \"name\": \"Solar Analysis Discussion\",\n \"archived\": false,\n \"llm\": \"gpt-4.1\",\n \"createdAfter\": 1609459200000,\n \"createdBefore\": 1640995200000,\n \"minInputTokens\": 100,\n \"minOutputTokens\": 50,\n \"tenantId\": \"tenant_12345\",\n \"subtenantId\": \"user_67890\",\n \"metadata\": {\n \"promptTemplateParams\": {\n \"userId\": \"123\"\n }\n },\n \"tags\": [\n \"project-alpha\",\n \"high-priority\"\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.devic.ai/v1/assistants/chats")
.header("Authorization", "Bearer <token>")
.header("Content-Type", "application/json")
.body("{\n \"assistantSpecializationIdentifier\": \"550e8400-e29b-41d4-a716-446655440000\",\n \"name\": \"Solar Analysis Discussion\",\n \"archived\": false,\n \"llm\": \"gpt-4.1\",\n \"createdAfter\": 1609459200000,\n \"createdBefore\": 1640995200000,\n \"minInputTokens\": 100,\n \"minOutputTokens\": 50,\n \"tenantId\": \"tenant_12345\",\n \"subtenantId\": \"user_67890\",\n \"metadata\": {\n \"promptTemplateParams\": {\n \"userId\": \"123\"\n }\n },\n \"tags\": [\n \"project-alpha\",\n \"high-priority\"\n ]\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.devic.ai/v1/assistants/chats")
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 \"assistantSpecializationIdentifier\": \"550e8400-e29b-41d4-a716-446655440000\",\n \"name\": \"Solar Analysis Discussion\",\n \"archived\": false,\n \"llm\": \"gpt-4.1\",\n \"createdAfter\": 1609459200000,\n \"createdBefore\": 1640995200000,\n \"minInputTokens\": 100,\n \"minOutputTokens\": 50,\n \"tenantId\": \"tenant_12345\",\n \"subtenantId\": \"user_67890\",\n \"metadata\": {\n \"promptTemplateParams\": {\n \"userId\": \"123\"\n }\n },\n \"tags\": [\n \"project-alpha\",\n \"high-priority\"\n ]\n}"
response = http.request(request)
puts response.read_body{
"histories": [
{
"chatUID": "550e8400-e29b-41d4-a716-446655440000",
"clientUID": "f9a44905-3193-4bd2-a81a-71156aa7eb66",
"userUID": "7a735eda-69e7-420b-9507-6abf80ad2e34",
"name": "Solar panel recommendations",
"archived": true,
"assistantSpecializationIdentifier": "550e8400-e29b-41d4-a716-446655440000",
"chatContent": [
{
"uid": "75ecbcfc-a3be-43ba-8da6-b3e16e8d7280",
"chatUid": "550e8400-e29b-41d4-a716-446655440000",
"role": "user",
"content": {
"message": "I would recommend a 450 W monocrystalline panel.",
"data": {},
"files": [
{
"name": "invoice.pdf",
"donwloadUrl": "https://files.devic.ai/uploads/invoice.pdf",
"fileType": "DOCUMENT"
}
]
},
"timestamp": 1706000000000,
"userUID": "api-key:42",
"summary": "The user asks which panels to install on a 60 m2 roof.",
"contentSource": "finish_tool",
"tool_calls": [
{
"id": "call_abc123",
"type": "function",
"function": {
"name": "get_user_location",
"arguments": "{}"
}
}
],
"tool_call_id": "call_abc123",
"latencyMs": 1045,
"messageTokenUsage": {
"inputTokens": 123,
"outputTokens": 123,
"inputCachedTokens": 123,
"inputCacheWriteTokens": 123,
"outputCachedTokens": 123,
"reasoningOutputTokens": 123,
"totalTokens": 123,
"provider": "<string>",
"model": "<string>"
},
"messageCost": {
"inputCost": 123,
"outputCost": 123,
"inputCachedCost": 123,
"inputCacheWriteCost": 123,
"outputCachedCost": 123,
"reasoningOutputCost": 123,
"totalCost": 123,
"currency": "USD",
"calculatedAt": 123
}
}
],
"creationTimestampMs": 1789630543006,
"lastEditTimestampMs": 1789630572077,
"llm": "gpt-4.1",
"provider": "open-ai",
"contextWindow": 1050000,
"inputTokens": 6380,
"outputTokens": 372,
"tokenUsage": {
"model": "<string>",
"provider": "<string>",
"inputTokens": 123,
"outputTokens": 123,
"inputCachedTokens": 123,
"inputCacheWriteTokens": 123,
"outputCachedTokens": 123,
"reasoningOutputTokens": 123,
"totalCachedTokens": 123,
"cost": {
"inputCost": 123,
"outputCost": 123,
"inputCachedCost": 123,
"inputCacheWriteCost": 123,
"outputCachedCost": 123,
"reasoningOutputCost": 123,
"totalCost": 123
},
"secondaryCost": 123,
"secondaryInputTokens": 123,
"secondaryOutputTokens": 123,
"secondaryByOperation": {},
"pricingTimestamp": 123
},
"metadata": {},
"tenantId": "tenant_12345",
"tags": [
"support",
"onboarding"
],
"stopReason": "max_chat_messages_reached",
"triggerSource": {},
"guardrailResults": {},
"handedOff": true,
"handedOffSubThreadId": "64f5a5b8c123456789abcdef",
"pausedUntil": 123,
"pausedReason": "<string>",
"recalledMemories": [
{}
],
"coreMemories": [
{}
],
"compactions": [
{}
]
}
],
"total": 42,
"offset": 0,
"limit": 10
}{
"error": "<string>",
"message": "<string>",
"details": {}
}Authorizations
An API key from your Devic console, sent as Authorization: Bearer <key>. An embedded front end sends a tenant-session token instead, so no API key reaches the browser, and an OAuth integration sends its access token. Missing, invalid or expired credentials get a 401. See Authentication.
Query Parameters
Conversations per page. Values above 100 are capped.
Required range:
1 <= x <= 100Conversations to skip
Required range:
x >= 0Send true to leave chatContent out and get only what describes each conversation.
Body
application/json
The filters to apply. {} for none.
Filters to narrow the conversations. Every field is optional and they combine with AND; send {} for no filter at all.
Only conversations of this assistant
Example:
"550e8400-e29b-41d4-a716-446655440000"
Only conversations with this title
Example:
"Solar Analysis Discussion"
Archived conversations instead of the live ones
Example:
false
Only conversations answered by this model
Example:
"gpt-4.1"
Created at or after this Unix timestamp in milliseconds
Example:
1609459200000
Created at or before this Unix timestamp in milliseconds
Example:
1640995200000
At least this many input tokens
Example:
100
At least this many output tokens
Example:
50
Only conversations of this tenant
Example:
"tenant_12345"
Only conversations of this end user inside the tenant. Matches the canonical metadata.subtenantId, so it works however the subtenant was originally supplied.
Example:
"user_67890"
Only conversations whose metadata matches these fields. Nested matching is supported.
Example:
{ "promptTemplateParams": { "userId": "123" } }
Only conversations carrying ANY of these tags
Example:
["project-alpha", "high-priority"]
Response
A page of conversations. The status is 201 rather than 200 because the filters travel in the body of a POST; nothing is created.
A page of conversations.