Chat des traces GenAI

Chat des traces Genai

curl --request POST \
  --url https://api.example.com/agents/traces/chat \
  --header 'Content-Type: application/json' \
  --data '
{
  "project_id": "<string>",
  "trace_id": "<string>",
  "include_feedback": false
}
'

import requests

url = "https://api.example.com/agents/traces/chat"

payload = {
    "project_id": "<string>",
    "trace_id": "<string>",
    "include_feedback": False
}
headers = {"Content-Type": "application/json"}

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

print(response.text)

const options = {
  method: 'POST',
  headers: {'Content-Type': 'application/json'},
  body: JSON.stringify({project_id: '<string>', trace_id: '<string>', include_feedback: false})
};

fetch('https://api.example.com/agents/traces/chat', 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.example.com/agents/traces/chat",
  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([
    'project_id' => '<string>',
    'trace_id' => '<string>',
    'include_feedback' => false
  ]),
  CURLOPT_HTTPHEADER => [
    "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.example.com/agents/traces/chat"

	payload := strings.NewReader("{\n  \"project_id\": \"<string>\",\n  \"trace_id\": \"<string>\",\n  \"include_feedback\": false\n}")

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

	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.example.com/agents/traces/chat")
  .header("Content-Type", "application/json")
  .body("{\n  \"project_id\": \"<string>\",\n  \"trace_id\": \"<string>\",\n  \"include_feedback\": false\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.example.com/agents/traces/chat")

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

request = Net::HTTP::Post.new(url)
request["Content-Type"] = 'application/json'
request.body = "{\n  \"project_id\": \"<string>\",\n  \"trace_id\": \"<string>\",\n  \"include_feedback\": false\n}"

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

{
  "agent_name": "<string>",
  "agent_version": "<string>",
  "ended_at": "2023-11-07T05:31:56Z",
  "feedback": [
    {
      "annotation_ref": "<string>",
      "call_ref": "<string>",
      "created_at": "2023-11-07T05:31:56Z",
      "creator": "<string>",
      "feedback_type": "<string>",
      "id": "<string>",
      "payload": {},
      "runnable_ref": "<string>",
      "scorer_rating_confidences": {},
      "scorer_rating_reasons": {},
      "scorer_ratings": {},
      "scorer_tag_confidences": {},
      "scorer_tag_reasons": {},
      "scorer_tags": [
        "<string>"
      ],
      "trigger_ref": "<string>",
      "wb_user_id": "<string>",
      "weave_ref": "<string>"
    }
  ],
  "messages": [
    {
      "agent_handoff": {},
      "agent_name": "<string>",
      "agent_start": {
        "model": "<string>",
        "status": "UNSET",
        "system_instructions": "<string>",
        "tool_definitions": "<string>"
      },
      "agent_version": "<string>",
      "assistant_message": {
        "content_refs": [
          "<string>"
        ],
        "duration_ms": 123,
        "input_cost_usd": 123,
        "input_tokens": 123,
        "model": "<string>",
        "output_cost_usd": 123,
        "output_tokens": 123,
        "reasoning_content": "<string>",
        "reasoning_tokens": 123,
        "status": "UNSET",
        "text": "<string>",
        "total_cost_usd": 123
      },
      "context_compacted": {
        "compaction_items_after": 123,
        "compaction_items_before": 123,
        "compaction_summary": "<string>"
      },
      "feedback": [
        {
          "annotation_ref": "<string>",
          "call_ref": "<string>",
          "created_at": "2023-11-07T05:31:56Z",
          "creator": "<string>",
          "feedback_type": "<string>",
          "id": "<string>",
          "payload": {},
          "runnable_ref": "<string>",
          "scorer_rating_confidences": {},
          "scorer_rating_reasons": {},
          "scorer_ratings": {},
          "scorer_tag_confidences": {},
          "scorer_tag_reasons": {},
          "scorer_tags": [
            "<string>"
          ],
          "trigger_ref": "<string>",
          "wb_user_id": "<string>",
          "weave_ref": "<string>"
        }
      ],
      "span_id": "<string>",
      "started_at": "2023-11-07T05:31:56Z",
      "status_code": "UNSET",
      "tool_call": {
        "content_refs": [
          "<string>"
        ],
        "duration_ms": 123,
        "status": "UNSET",
        "tool_arguments": "<string>",
        "tool_name": "<string>",
        "tool_result": "<string>"
      },
      "type": "user_message",
      "user_message": {
        "content_refs": [
          "<string>"
        ],
        "text": "<string>"
      }
    }
  ],
  "provider": "<string>",
  "root_span_name": "<string>",
  "started_at": "2023-11-07T05:31:56Z",
  "status_code": "UNSET",
  "total_cache_creation_input_tokens": 0,
  "total_cache_read_input_tokens": 0,
  "total_cost_usd": 123,
  "total_duration_ms": 123,
  "total_input_tokens": 0,
  "total_output_tokens": 0,
  "total_reasoning_tokens": 0,
  "trace_id": "<string>",
  "wb_user_id": "<string>"
}

{
  "detail": [
    {
      "loc": [
        "<string>"
      ],
      "msg": "<string>",
      "type": "<string>",
      "ctx": {},
      "input": "<unknown>"
    }
  ]
}

POST

agents

traces

chat

Chat des traces Genai

curl --request POST \
  --url https://api.example.com/agents/traces/chat \
  --header 'Content-Type: application/json' \
  --data '
{
  "project_id": "<string>",
  "trace_id": "<string>",
  "include_feedback": false
}
'

import requests

url = "https://api.example.com/agents/traces/chat"

payload = {
    "project_id": "<string>",
    "trace_id": "<string>",
    "include_feedback": False
}
headers = {"Content-Type": "application/json"}

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

print(response.text)

const options = {
  method: 'POST',
  headers: {'Content-Type': 'application/json'},
  body: JSON.stringify({project_id: '<string>', trace_id: '<string>', include_feedback: false})
};

fetch('https://api.example.com/agents/traces/chat', 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.example.com/agents/traces/chat",
  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([
    'project_id' => '<string>',
    'trace_id' => '<string>',
    'include_feedback' => false
  ]),
  CURLOPT_HTTPHEADER => [
    "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.example.com/agents/traces/chat"

	payload := strings.NewReader("{\n  \"project_id\": \"<string>\",\n  \"trace_id\": \"<string>\",\n  \"include_feedback\": false\n}")

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

	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.example.com/agents/traces/chat")
  .header("Content-Type", "application/json")
  .body("{\n  \"project_id\": \"<string>\",\n  \"trace_id\": \"<string>\",\n  \"include_feedback\": false\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.example.com/agents/traces/chat")

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

request = Net::HTTP::Post.new(url)
request["Content-Type"] = 'application/json'
request.body = "{\n  \"project_id\": \"<string>\",\n  \"trace_id\": \"<string>\",\n  \"include_feedback\": false\n}"

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

{
  "agent_name": "<string>",
  "agent_version": "<string>",
  "ended_at": "2023-11-07T05:31:56Z",
  "feedback": [
    {
      "annotation_ref": "<string>",
      "call_ref": "<string>",
      "created_at": "2023-11-07T05:31:56Z",
      "creator": "<string>",
      "feedback_type": "<string>",
      "id": "<string>",
      "payload": {},
      "runnable_ref": "<string>",
      "scorer_rating_confidences": {},
      "scorer_rating_reasons": {},
      "scorer_ratings": {},
      "scorer_tag_confidences": {},
      "scorer_tag_reasons": {},
      "scorer_tags": [
        "<string>"
      ],
      "trigger_ref": "<string>",
      "wb_user_id": "<string>",
      "weave_ref": "<string>"
    }
  ],
  "messages": [
    {
      "agent_handoff": {},
      "agent_name": "<string>",
      "agent_start": {
        "model": "<string>",
        "status": "UNSET",
        "system_instructions": "<string>",
        "tool_definitions": "<string>"
      },
      "agent_version": "<string>",
      "assistant_message": {
        "content_refs": [
          "<string>"
        ],
        "duration_ms": 123,
        "input_cost_usd": 123,
        "input_tokens": 123,
        "model": "<string>",
        "output_cost_usd": 123,
        "output_tokens": 123,
        "reasoning_content": "<string>",
        "reasoning_tokens": 123,
        "status": "UNSET",
        "text": "<string>",
        "total_cost_usd": 123
      },
      "context_compacted": {
        "compaction_items_after": 123,
        "compaction_items_before": 123,
        "compaction_summary": "<string>"
      },
      "feedback": [
        {
          "annotation_ref": "<string>",
          "call_ref": "<string>",
          "created_at": "2023-11-07T05:31:56Z",
          "creator": "<string>",
          "feedback_type": "<string>",
          "id": "<string>",
          "payload": {},
          "runnable_ref": "<string>",
          "scorer_rating_confidences": {},
          "scorer_rating_reasons": {},
          "scorer_ratings": {},
          "scorer_tag_confidences": {},
          "scorer_tag_reasons": {},
          "scorer_tags": [
            "<string>"
          ],
          "trigger_ref": "<string>",
          "wb_user_id": "<string>",
          "weave_ref": "<string>"
        }
      ],
      "span_id": "<string>",
      "started_at": "2023-11-07T05:31:56Z",
      "status_code": "UNSET",
      "tool_call": {
        "content_refs": [
          "<string>"
        ],
        "duration_ms": 123,
        "status": "UNSET",
        "tool_arguments": "<string>",
        "tool_name": "<string>",
        "tool_result": "<string>"
      },
      "type": "user_message",
      "user_message": {
        "content_refs": [
          "<string>"
        ],
        "text": "<string>"
      }
    }
  ],
  "provider": "<string>",
  "root_span_name": "<string>",
  "started_at": "2023-11-07T05:31:56Z",
  "status_code": "UNSET",
  "total_cache_creation_input_tokens": 0,
  "total_cache_read_input_tokens": 0,
  "total_cost_usd": 123,
  "total_duration_ms": 123,
  "total_input_tokens": 0,
  "total_output_tokens": 0,
  "total_reasoning_tokens": 0,
  "trace_id": "<string>",
  "wb_user_id": "<string>"
}

{
  "detail": [
    {
      "loc": [
        "<string>"
      ],
      "msg": "<string>",
      "type": "<string>",
      "ctx": {},
      "input": "<unknown>"
    }
  ]
}

Corps

application/json

Requête permettant d'obtenir la vue structurée de chat / trajectoire pour une trace.

project_id

string

requis

trace_id

string

requis

include_feedback

boolean

défaut:false

Réponse

Réponse réussie

Vue de chat structurée : une séquence linéaire de messages représentant la trajectoire de l'agent pour une seule trace.

agent_name

string | null

requis

agent_version

string | null

requis

ended_at

string<date-time> | null

requis

feedback

AgentChatFeedback · object[] | null

requis

Show child attributes

messages

AgentChatMessage · object[]

requis

Show child attributes

provider

string | null

requis

root_span_name

string | null

requis

started_at

string<date-time> | null

requis

status_code

enum<string> | null

requis

Options disponibles:

UNSET,

OK,

ERROR

total_cache_creation_input_tokens

integer

défaut:0

requis

total_cache_read_input_tokens

integer

défaut:0

requis

total_cost_usd

number | null

requis

total_duration_ms

integer | null

requis

Durée réelle du span racine de la trace, en millisecondes. Il ne s'agit pas d'une somme des durées des spans enfants.

total_input_tokens

integer

défaut:0

requis

total_output_tokens

integer

défaut:0

requis

total_reasoning_tokens

integer

défaut:0

requis

trace_id

string

requis

wb_user_id

string | null

requis

W&B Models

W&B Weave

Serverless Inference

Serverless Training

Corps

Réponse