Arguments autorisés de l'API de complétion.













Conversations bêta
API Conversations (bêta)












Exemples
Exemples réels de code
Lister toutes les conversations créées.
GET /v1/conversations
Récupérer une liste d'entités de conversation triées par date de création.
page
page_size
metadata
200
Réponse réussie
ModelConversation
AgentConversation
Playground
Testez les endpoints en direct
import { Mistral } from "@mistralai/mistralai";
const mistral = new Mistral({
apiKey: "MISTRAL_API_KEY",
});
async function run() {
const result = await mistral.beta.conversations.list({});
console.log(result);
}
run();
import { Mistral } from "@mistralai/mistralai";
const mistral = new Mistral({
apiKey: "MISTRAL_API_KEY",
});
async function run() {
const result = await mistral.beta.conversations.list({});
console.log(result);
}
run();
from mistralai.client import Mistral
import os
with Mistral(
api_key=os.getenv("MISTRAL_API_KEY", ""),
) as mistral:
res = mistral.beta.conversations.list(page=0, page_size=100)
# Handle response
print(res)
from mistralai.client import Mistral
import os
with Mistral(
api_key=os.getenv("MISTRAL_API_KEY", ""),
) as mistral:
res = mistral.beta.conversations.list(page=0, page_size=100)
# Handle response
print(res)
curl https://api.mistral.ai/v1/conversations \
-X GET \
-H 'Authorization: Bearer YOUR_APIKEY_HERE'curl https://api.mistral.ai/v1/conversations \
-X GET \
-H 'Authorization: Bearer YOUR_APIKEY_HERE'200
[
{
"created_at": "2025-12-17T10:25:07.818693Z",
"id": "019b2bd7-96e7-7219-8c0b-45a73da50088",
"model": "mistral-small-latest",
"updated_at": "2025-12-17T10:41:03.469341Z"
}
][
{
"created_at": "2025-12-17T10:25:07.818693Z",
"id": "019b2bd7-96e7-7219-8c0b-45a73da50088",
"model": "mistral-small-latest",
"updated_at": "2025-12-17T10:41:03.469341Z"
}
]Créer une conversation et y ajouter des entrées.
POST /v1/conversations
Créer une nouvelle conversation, en utilisant un modèle de base ou un agent, et ajouter des entrées. L'exécution de la complétion et des outils est lancée et la réponse est ajoutée à la conversation. Utilisez l'conversation_id retourné pour poursuivre la conversation.
agent_id
agent_version
description
guardrails
handoff_execution
instructions
metadata
model
name
store
stream
Default Value: false
200
Réponse réussie
conversation_id
guardrails
object
Default Value: "conversation.response"
Playground
Testez les endpoints en direct
import { Mistral } from "@mistralai/mistralai";
const client = new Mistral({ apiKey: process.env.MISTRAL_API_KEY });
const conversation = await client.beta.conversations.start({
inputs: "Help me summarize this document.",
});
console.log(conversation.id);
import { Mistral } from "@mistralai/mistralai";
const client = new Mistral({ apiKey: process.env.MISTRAL_API_KEY });
const conversation = await client.beta.conversations.start({
inputs: "Help me summarize this document.",
});
console.log(conversation.id);
import os
from mistralai import Mistral
client = Mistral(api_key=os.environ["MISTRAL_API_KEY"])
conversation = client.beta.conversations.start(
inputs="Help me summarize this document.",
stream=False,
)
print(conversation.id)
import os
from mistralai import Mistral
client = Mistral(api_key=os.environ["MISTRAL_API_KEY"])
conversation = client.beta.conversations.start(
inputs="Help me summarize this document.",
stream=False,
)
print(conversation.id)
curl https://api.mistral.ai/v1/conversations \
-X POST \
-H 'Authorization: Bearer YOUR_APIKEY_HERE' \
-H 'Content-Type: application/json' \
-d '{
"inputs": "Example input."
}'curl https://api.mistral.ai/v1/conversations \
-X POST \
-H 'Authorization: Bearer YOUR_APIKEY_HERE' \
-H 'Content-Type: application/json' \
-d '{
"inputs": "Example input."
}'200
{
"conversation_id": "019b2bd7-96e7-7219-8c0b-45a73da50088",
"outputs": [
{
"content": "Example content."
}
],
"usage": {}
}{
"conversation_id": "019b2bd7-96e7-7219-8c0b-45a73da50088",
"outputs": [
{
"content": "Example content."
}
],
"usage": {}
}Récupérer les informations d'une conversation.
GET /v1/conversations/{conversation_id}
À partir d'un conversation_id, récupérer une entité de conversation avec ses attributs.
conversation_id
ID de la conversation à partir de laquelle nous récupérons les métadonnées.
200
Réponse réussie
ModelConversation
AgentConversation
Playground
Testez les endpoints en direct
import { Mistral } from "@mistralai/mistralai";
const mistral = new Mistral({
apiKey: "MISTRAL_API_KEY",
});
async function run() {
const result = await mistral.beta.conversations.get({
conversationId: "<id>",
});
console.log(result);
}
run();
import { Mistral } from "@mistralai/mistralai";
const mistral = new Mistral({
apiKey: "MISTRAL_API_KEY",
});
async function run() {
const result = await mistral.beta.conversations.get({
conversationId: "<id>",
});
console.log(result);
}
run();
from mistralai.client import Mistral
import os
with Mistral(
api_key=os.getenv("MISTRAL_API_KEY", ""),
) as mistral:
res = mistral.beta.conversations.get(conversation_id="<id>")
# Handle response
print(res)
from mistralai.client import Mistral
import os
with Mistral(
api_key=os.getenv("MISTRAL_API_KEY", ""),
) as mistral:
res = mistral.beta.conversations.get(conversation_id="<id>")
# Handle response
print(res)
curl https://api.mistral.ai/v1/conversations/{conversation_id} \
-X GET \
-H 'Authorization: Bearer YOUR_APIKEY_HERE'curl https://api.mistral.ai/v1/conversations/{conversation_id} \
-X GET \
-H 'Authorization: Bearer YOUR_APIKEY_HERE'200
{
"created_at": "2025-12-17T10:25:07.818693Z",
"id": "019b2bd7-96e7-7219-8c0b-45a73da50088",
"model": "mistral-small-latest",
"updated_at": "2025-12-17T10:41:03.469341Z"
}{
"created_at": "2025-12-17T10:25:07.818693Z",
"id": "019b2bd7-96e7-7219-8c0b-45a73da50088",
"model": "mistral-small-latest",
"updated_at": "2025-12-17T10:41:03.469341Z"
}Ajouter de nouvelles entrées à une conversation existante.
POST /v1/conversations/{conversation_id}
Exécuter la complétion sur l'historique de la conversation et les entrées de l'utilisateur. Retourner les nouvelles entrées créées.
conversation_id
ID de la conversation à laquelle nous ajoutons des entrées.
handoff_execution
Default Value: "server"
store
Default Value: true
Indique s'il faut stocker les résultats sur nos serveurs ou non.
stream
Default Value: false
tool_confirmations
200
Réponse réussie
conversation_id
guardrails
object
Default Value: "conversation.response"
Playground
Testez les endpoints en direct
import { Mistral } from "@mistralai/mistralai";
const mistral = new Mistral({
apiKey: "MISTRAL_API_KEY",
});
async function run() {
const result = await mistral.beta.conversations.append({
conversationId: "<id>",
conversationAppendRequest: {
inputs: [],
},
});
console.log(result);
}
run();
import { Mistral } from "@mistralai/mistralai";
const mistral = new Mistral({
apiKey: "MISTRAL_API_KEY",
});
async function run() {
const result = await mistral.beta.conversations.append({
conversationId: "<id>",
conversationAppendRequest: {
inputs: [],
},
});
console.log(result);
}
run();
from mistralai.client import Mistral
import os
with Mistral(
api_key=os.getenv("MISTRAL_API_KEY", ""),
) as mistral:
res = mistral.beta.conversations.append(conversation_id="<id>", stream=False, store=True, handoff_execution="server", completion_args={
"response_format": {
"type": "text",
},
})
# Handle response
print(res)
from mistralai.client import Mistral
import os
with Mistral(
api_key=os.getenv("MISTRAL_API_KEY", ""),
) as mistral:
res = mistral.beta.conversations.append(conversation_id="<id>", stream=False, store=True, handoff_execution="server", completion_args={
"response_format": {
"type": "text",
},
})
# Handle response
print(res)
curl https://api.mistral.ai/v1/conversations/{conversation_id} \
-X POST \
-H 'Authorization: Bearer YOUR_APIKEY_HERE' \
-H 'Content-Type: application/json' \
-d '{}'curl https://api.mistral.ai/v1/conversations/{conversation_id} \
-X POST \
-H 'Authorization: Bearer YOUR_APIKEY_HERE' \
-H 'Content-Type: application/json' \
-d '{}'200
{
"conversation_id": "019b2bd7-96e7-7219-8c0b-45a73da50088",
"outputs": [
{
"content": "Example content."
}
],
"usage": {}
}{
"conversation_id": "019b2bd7-96e7-7219-8c0b-45a73da50088",
"outputs": [
{
"content": "Example content."
}
],
"usage": {}
}Supprimer une conversation.
DELETE /v1/conversations/{conversation_id}
Supprimer une conversation à partir d'un conversation_id.
conversation_id
ID de la conversation à partir de laquelle nous récupérons les métadonnées.
Playground
Testez les endpoints en direct
from mistralai.client import Mistral
import os
with Mistral(
api_key=os.getenv("MISTRAL_API_KEY", ""),
) as mistral:
mistral.beta.conversations.delete(conversation_id="<id>")
# Use the SDK ...
from mistralai.client import Mistral
import os
with Mistral(
api_key=os.getenv("MISTRAL_API_KEY", ""),
) as mistral:
mistral.beta.conversations.delete(conversation_id="<id>")
# Use the SDK ...
curl https://api.mistral.ai/v1/conversations/{conversation_id} \
-X DELETE \
-H 'Authorization: Bearer YOUR_APIKEY_HERE' \
-H 'Content-Type: application/json'curl https://api.mistral.ai/v1/conversations/{conversation_id} \
-X DELETE \
-H 'Authorization: Bearer YOUR_APIKEY_HERE' \
-H 'Content-Type: application/json'Récupérer toutes les entrées d'une conversation.
GET /v1/conversations/{conversation_id}/history
À partir d'un conversation_id, récupérer toutes les entrées appartenant à cette conversation. Les entrées sont triées dans l'ordre où elles ont été ajoutées, celles-ci peuvent être des messages, des connecteurs ou des function_call.
conversation_id
ID de la conversation à partir de laquelle nous récupérons les entrées.
200
Réponse réussie
conversation_id
object
Default Value: "conversation.history"
Playground
Testez les endpoints en direct
import { Mistral } from "@mistralai/mistralai";
const mistral = new Mistral({
apiKey: "MISTRAL_API_KEY",
});
async function run() {
const result = await mistral.beta.conversations.getHistory({
conversationId: "<id>",
});
console.log(result);
}
run();
import { Mistral } from "@mistralai/mistralai";
const mistral = new Mistral({
apiKey: "MISTRAL_API_KEY",
});
async function run() {
const result = await mistral.beta.conversations.getHistory({
conversationId: "<id>",
});
console.log(result);
}
run();
from mistralai.client import Mistral
import os
with Mistral(
api_key=os.getenv("MISTRAL_API_KEY", ""),
) as mistral:
res = mistral.beta.conversations.get_history(conversation_id="<id>")
# Handle response
print(res)
from mistralai.client import Mistral
import os
with Mistral(
api_key=os.getenv("MISTRAL_API_KEY", ""),
) as mistral:
res = mistral.beta.conversations.get_history(conversation_id="<id>")
# Handle response
print(res)
curl https://api.mistral.ai/v1/conversations/{conversation_id}/history \
-X GET \
-H 'Authorization: Bearer YOUR_APIKEY_HERE'curl https://api.mistral.ai/v1/conversations/{conversation_id}/history \
-X GET \
-H 'Authorization: Bearer YOUR_APIKEY_HERE'200
{
"conversation_id": "019b2bd7-96e7-7219-8c0b-45a73da50088",
"entries": [
{
"content": "Example content.",
"role": "assistant"
}
]
}{
"conversation_id": "019b2bd7-96e7-7219-8c0b-45a73da50088",
"entries": [
{
"content": "Example content.",
"role": "assistant"
}
]
}Récupérer tous les messages d'une conversation.
GET /v1/conversations/{conversation_id}/messages
À partir d'un conversation_id, récupérer tous les messages appartenant à cette conversation. Cela est similaire à la récupération de toutes les entrées, sauf que nous filtrons uniquement les messages.
conversation_id
ID de la conversation à partir de laquelle nous récupérons les messages.
200
Réponse réussie
conversation_id
object
Default Value: "conversation.messages"
Playground
Testez les endpoints en direct
import { Mistral } from "@mistralai/mistralai";
const mistral = new Mistral({
apiKey: "MISTRAL_API_KEY",
});
async function run() {
const result = await mistral.beta.conversations.getMessages({
conversationId: "<id>",
});
console.log(result);
}
run();
import { Mistral } from "@mistralai/mistralai";
const mistral = new Mistral({
apiKey: "MISTRAL_API_KEY",
});
async function run() {
const result = await mistral.beta.conversations.getMessages({
conversationId: "<id>",
});
console.log(result);
}
run();
from mistralai.client import Mistral
import os
with Mistral(
api_key=os.getenv("MISTRAL_API_KEY", ""),
) as mistral:
res = mistral.beta.conversations.get_messages(conversation_id="<id>")
# Handle response
print(res)
from mistralai.client import Mistral
import os
with Mistral(
api_key=os.getenv("MISTRAL_API_KEY", ""),
) as mistral:
res = mistral.beta.conversations.get_messages(conversation_id="<id>")
# Handle response
print(res)
curl https://api.mistral.ai/v1/conversations/{conversation_id}/messages \
-X GET \
-H 'Authorization: Bearer YOUR_APIKEY_HERE'curl https://api.mistral.ai/v1/conversations/{conversation_id}/messages \
-X GET \
-H 'Authorization: Bearer YOUR_APIKEY_HERE'200
{
"conversation_id": "019b2bd7-96e7-7219-8c0b-45a73da50088",
"messages": [
{
"content": "Example content.",
"role": "assistant"
}
]
}{
"conversation_id": "019b2bd7-96e7-7219-8c0b-45a73da50088",
"messages": [
{
"content": "Example content.",
"role": "assistant"
}
]
}Redémarrer une conversation en partant d'une entrée donnée.
POST /v1/conversations/{conversation_id}/restart
À partir d'un conversation_id et d'un id, recréer une conversation à partir de ce point et exécuter la complétion. Une nouvelle conversation est retournée avec les nouvelles entrées générées.
conversation_id
ID de la conversation originale qui est redémarrée.
Requête pour redémarrer une nouvelle conversation à partir d'une entrée donnée dans la conversation.
agent_version
Version spécifique de l'agent à utiliser lors du redémarrage. Si non fournie, utilise la version actuelle.
from_entry_id
guardrails
handoff_execution
Default Value: "server"
metadata
Métadonnées personnalisées pour la conversation.
store
Default Value: true
Indique s'il faut stocker les résultats sur nos serveurs ou non.
stream
Default Value: false
200
Réponse réussie
conversation_id
guardrails
object
Default Value: "conversation.response"
Playground
Testez les endpoints en direct
import { Mistral } from "@mistralai/mistralai";
const client = new Mistral({ apiKey: process.env.MISTRAL_API_KEY });
const conversation = await client.beta.conversations.restart({
conversationId: "019b2bd7-96e7-7219-8c0b-45a73da50088",
conversationRestartRequest: {
inputs: "Start again from this message.",
fromEntryId: "019b2bd7-96e7-7219-8c0b-45a73da50088",
},
});
console.log(conversation.id);
import { Mistral } from "@mistralai/mistralai";
const client = new Mistral({ apiKey: process.env.MISTRAL_API_KEY });
const conversation = await client.beta.conversations.restart({
conversationId: "019b2bd7-96e7-7219-8c0b-45a73da50088",
conversationRestartRequest: {
inputs: "Start again from this message.",
fromEntryId: "019b2bd7-96e7-7219-8c0b-45a73da50088",
},
});
console.log(conversation.id);
import os
from mistralai import Mistral
client = Mistral(api_key=os.environ["MISTRAL_API_KEY"])
conversation = client.beta.conversations.restart(
conversation_id="019b2bd7-96e7-7219-8c0b-45a73da50088",
inputs="Start again from this message.",
from_entry_id="019b2bd7-96e7-7219-8c0b-45a73da50088",
stream=False,
)
print(conversation.id)
import os
from mistralai import Mistral
client = Mistral(api_key=os.environ["MISTRAL_API_KEY"])
conversation = client.beta.conversations.restart(
conversation_id="019b2bd7-96e7-7219-8c0b-45a73da50088",
inputs="Start again from this message.",
from_entry_id="019b2bd7-96e7-7219-8c0b-45a73da50088",
stream=False,
)
print(conversation.id)
curl https://api.mistral.ai/v1/conversations/{conversation_id}/restart \
-X POST \
-H 'Authorization: Bearer YOUR_APIKEY_HERE' \
-H 'Content-Type: application/json' \
-d '{
"from_entry_id": "019b2bd7-96e7-7219-8c0b-45a73da50088"
}'curl https://api.mistral.ai/v1/conversations/{conversation_id}/restart \
-X POST \
-H 'Authorization: Bearer YOUR_APIKEY_HERE' \
-H 'Content-Type: application/json' \
-d '{
"from_entry_id": "019b2bd7-96e7-7219-8c0b-45a73da50088"
}'200
{
"conversation_id": "019b2bd7-96e7-7219-8c0b-45a73da50088",
"outputs": [
{
"content": "Example content."
}
],
"usage": {}
}{
"conversation_id": "019b2bd7-96e7-7219-8c0b-45a73da50088",
"outputs": [
{
"content": "Example content."
}
],
"usage": {}
}Créer une conversation et y ajouter des entrées.
POST /v1/conversations#stream
Créer une nouvelle conversation, en utilisant un modèle de base ou un agent, et ajouter des entrées. L'exécution de la complétion et des outils est lancée et la réponse est ajoutée à la conversation. Utilisez l'conversation_id retourné pour poursuivre la conversation.
agent_id
agent_version
description
guardrails
handoff_execution
instructions
metadata
model
name
store
stream
Default Value: true
200
Playground
Testez les endpoints en direct
import { Mistral } from "@mistralai/mistralai";
const client = new Mistral({ apiKey: process.env.MISTRAL_API_KEY });
const events = await client.beta.conversations.startStream({
inputs: "Help me summarize this document.",
});
for await (const event of events) {
console.log(event);
}
import { Mistral } from "@mistralai/mistralai";
const client = new Mistral({ apiKey: process.env.MISTRAL_API_KEY });
const events = await client.beta.conversations.startStream({
inputs: "Help me summarize this document.",
});
for await (const event of events) {
console.log(event);
}
import os
from mistralai import Mistral
client = Mistral(api_key=os.environ["MISTRAL_API_KEY"])
with client.beta.conversations.start_stream(
inputs="Help me summarize this document.",
) as events:
for event in events:
print(event)
import os
from mistralai import Mistral
client = Mistral(api_key=os.environ["MISTRAL_API_KEY"])
with client.beta.conversations.start_stream(
inputs="Help me summarize this document.",
) as events:
for event in events:
print(event)
curl https://api.mistral.ai/v1/conversations#stream \
-X POST \
-H 'Authorization: Bearer YOUR_APIKEY_HERE' \
-H 'Content-Type: application/json' \
-d '{
"inputs": "Example input."
}'curl https://api.mistral.ai/v1/conversations#stream \
-X POST \
-H 'Authorization: Bearer YOUR_APIKEY_HERE' \
-H 'Content-Type: application/json' \
-d '{
"inputs": "Example input."
}'200
nullnullAjouter de nouvelles entrées à une conversation existante.
POST /v1/conversations/{conversation_id}#stream
Exécuter la complétion sur l'historique de la conversation et les entrées de l'utilisateur. Retourner les nouvelles entrées créées.
conversation_id
ID de la conversation à laquelle nous ajoutons des entrées.
handoff_execution
Default Value: "server"
store
Default Value: true
Indique s'il faut stocker les résultats sur nos serveurs ou non.
stream
Default Value: true
tool_confirmations
200
Playground
Testez les endpoints en direct
import { Mistral } from "@mistralai/mistralai";
const client = new Mistral({ apiKey: process.env.MISTRAL_API_KEY });
const events = await client.beta.conversations.appendStream({
conversationId: "019b2bd7-96e7-7219-8c0b-45a73da50088",
conversationAppendStreamRequest: {
inputs: "Continue with more detail.",
},
});
for await (const event of events) {
console.log(event);
}
import { Mistral } from "@mistralai/mistralai";
const client = new Mistral({ apiKey: process.env.MISTRAL_API_KEY });
const events = await client.beta.conversations.appendStream({
conversationId: "019b2bd7-96e7-7219-8c0b-45a73da50088",
conversationAppendStreamRequest: {
inputs: "Continue with more detail.",
},
});
for await (const event of events) {
console.log(event);
}
import os
from mistralai import Mistral
client = Mistral(api_key=os.environ["MISTRAL_API_KEY"])
with client.beta.conversations.append_stream(
conversation_id="019b2bd7-96e7-7219-8c0b-45a73da50088",
inputs="Continue with more detail.",
) as events:
for event in events:
print(event)
import os
from mistralai import Mistral
client = Mistral(api_key=os.environ["MISTRAL_API_KEY"])
with client.beta.conversations.append_stream(
conversation_id="019b2bd7-96e7-7219-8c0b-45a73da50088",
inputs="Continue with more detail.",
) as events:
for event in events:
print(event)
curl https://api.mistral.ai/v1/conversations/{conversation_id}#stream \
-X POST \
-H 'Authorization: Bearer YOUR_APIKEY_HERE' \
-H 'Content-Type: application/json' \
-d '{}'curl https://api.mistral.ai/v1/conversations/{conversation_id}#stream \
-X POST \
-H 'Authorization: Bearer YOUR_APIKEY_HERE' \
-H 'Content-Type: application/json' \
-d '{}'200
nullnullRedémarrer une conversation en partant d'une entrée donnée.
POST /v1/conversations/{conversation_id}/restart#stream
À partir d'un conversation_id et d'un id, recréer une conversation à partir de ce point et exécuter la complétion. Une nouvelle conversation est retournée avec les nouvelles entrées générées.
conversation_id
ID de la conversation originale qui est redémarrée.
Requête pour redémarrer une nouvelle conversation à partir d'une entrée donnée dans la conversation.
agent_version
Version spécifique de l'agent à utiliser lors du redémarrage. Si non fournie, utilise la version actuelle.
from_entry_id
guardrails
handoff_execution
Default Value: "server"
metadata
Métadonnées personnalisées pour la conversation.
store
Default Value: true
Indique s'il faut stocker les résultats sur nos serveurs ou non.
stream
Default Value: true
200
Playground
Testez les endpoints en direct
import { Mistral } from "@mistralai/mistralai";
const client = new Mistral({ apiKey: process.env.MISTRAL_API_KEY });
const events = await client.beta.conversations.restartStream({
conversationId: "019b2bd7-96e7-7219-8c0b-45a73da50088",
conversationRestartStreamRequest: {
inputs: "Restart and stream the answer.",
fromEntryId: "019b2bd7-96e7-7219-8c0b-45a73da50088",
},
});
for await (const event of events) {
console.log(event);
}
import { Mistral } from "@mistralai/mistralai";
const client = new Mistral({ apiKey: process.env.MISTRAL_API_KEY });
const events = await client.beta.conversations.restartStream({
conversationId: "019b2bd7-96e7-7219-8c0b-45a73da50088",
conversationRestartStreamRequest: {
inputs: "Restart and stream the answer.",
fromEntryId: "019b2bd7-96e7-7219-8c0b-45a73da50088",
},
});
for await (const event of events) {
console.log(event);
}
import os
from mistralai import Mistral
client = Mistral(api_key=os.environ["MISTRAL_API_KEY"])
with client.beta.conversations.restart_stream(
conversation_id="019b2bd7-96e7-7219-8c0b-45a73da50088",
inputs="Restart and stream the answer.",
from_entry_id="019b2bd7-96e7-7219-8c0b-45a73da50088",
) as events:
for event in events:
print(event)
import os
from mistralai import Mistral
client = Mistral(api_key=os.environ["MISTRAL_API_KEY"])
with client.beta.conversations.restart_stream(
conversation_id="019b2bd7-96e7-7219-8c0b-45a73da50088",
inputs="Restart and stream the answer.",
from_entry_id="019b2bd7-96e7-7219-8c0b-45a73da50088",
) as events:
for event in events:
print(event)
curl https://api.mistral.ai/v1/conversations/{conversation_id}/restart#stream \
-X POST \
-H 'Authorization: Bearer YOUR_APIKEY_HERE' \
-H 'Content-Type: application/json' \
-d '{
"from_entry_id": "019b2bd7-96e7-7219-8c0b-45a73da50088"
}'curl https://api.mistral.ai/v1/conversations/{conversation_id}/restart#stream \
-X POST \
-H 'Authorization: Bearer YOUR_APIKEY_HERE' \
-H 'Content-Type: application/json' \
-d '{
"from_entry_id": "019b2bd7-96e7-7219-8c0b-45a73da50088"
}'200
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