For AI agents: a documentation index is available at the root level at /llms.txt and /llms-full.txt. Append /llms.txt to any URL for a page-level index, or .md for the markdown version of any page.
Connect
BlogHelp CenterAPI PricingSign up
OverviewElevenCreativeElevenAgentsElevenAPIReception AIAPI referenceChangelog
OverviewElevenCreativeElevenAgentsElevenAPIReception AIAPI referenceChangelog
  • API reference
    • Introduction
    • Authentication
    • Streaming
  • ElevenAgents
      • GETList tests
      • GETGet test
      • POSTCreate test
      • PUTUpdate test
      • DELDelete test
      • POSTGet test summaries
      • POSTRun tests on agent
  • ElevenAPI
  • ElevenCreative
  • Core Resources
  • Workspace
  • Legacy
  • Conversational AI
LogoLogo
Login
Login
Connect
BlogHelp CenterAPI PricingSign up
ElevenAgentsTests

Get test

GET
/v1/convai/agent-testing/:test_id
GET
/v1/convai/agent-testing/:test_id
$curl https://api.elevenlabs.io/v1/convai/agent-testing/test_id
1{
2  "type": "llm",
3  "id": "string",
4  "name": "string",
5  "chat_history": [
6    {
7      "role": "user",
8      "time_in_call_secs": 1,
9      "agent_metadata": {
10        "agent_id": "string",
11        "branch_id": "string",
12        "workflow_node_id": "string",
13        "version_id": "string"
14      },
15      "message": "string",
16      "multivoice_message": {
17        "parts": [
18          {
19            "text": "string",
20            "voice_label": "string",
21            "time_in_call_secs": 1
22          }
23        ]
24      },
25      "tool_calls": [
26        {
27          "request_id": "string",
28          "tool_name": "string",
29          "params_as_json": "string",
30          "tool_has_been_called": true,
31          "type": "system",
32          "tool_details": {
33            "type": "webhook",
34            "method": "string",
35            "url": "string",
36            "body": "string",
37            "headers": {},
38            "path_params": {},
39            "query_params": {}
40          }
41        }
42      ],
43      "tool_results": [
44        {
45          "request_id": "string",
46          "tool_name": "string",
47          "result_value": "string",
48          "is_error": true,
49          "is_blocked": false,
50          "tool_has_been_called": true,
51          "tool_latency_secs": 0,
52          "error_type": "",
53          "raw_error_message": "",
54          "dynamic_variable_updates": [
55            {
56              "variable_name": "string",
57              "old_value": "string",
58              "new_value": "string",
59              "updated_at": 1.1,
60              "tool_name": "string",
61              "tool_request_id": "string"
62            }
63          ],
64          "type": "client"
65        }
66      ],
67      "feedback": {
68        "score": "like",
69        "time_in_call_secs": 1
70      },
71      "llm_override": "string",
72      "conversation_turn_metrics": {
73        "metrics": {},
74        "convai_asr_provider": "string",
75        "convai_tts_model": "string",
76        "convai_tts_cascade": "string"
77      },
78      "rag_retrieval_info": {
79        "chunks": [
80          {
81            "document_id": "string",
82            "chunk_id": "string",
83            "vector_distance": 1.1
84          }
85        ],
86        "embedding_model": "e5_mistral_7b_instruct",
87        "retrieval_query": "string",
88        "rag_latency_secs": 1.1,
89        "used_chunk_ids": [
90          "string"
91        ]
92      },
93      "llm_usage": {
94        "model_usage": {}
95      },
96      "interrupted": false,
97      "original_message": "string",
98      "source_medium": "audio",
99      "source_event_id": 1,
100      "used_static_kb_document_ids": [
101        "string"
102      ]
103    }
104  ],
105  "conversation_initiation_source": "unknown",
106  "dynamic_variables": {},
107  "failure_examples": [
108    {
109      "response": "string",
110      "type": "string"
111    }
112  ],
113  "from_conversation_metadata": {
114    "conversation_id": "string",
115    "agent_id": "string",
116    "branch_id": "string",
117    "workflow_node_id": "string",
118    "original_agent_reply": [
119      {
120        "role": "user",
121        "time_in_call_secs": 1,
122        "agent_metadata": {
123          "agent_id": "string",
124          "branch_id": "string",
125          "workflow_node_id": "string",
126          "version_id": "string"
127        },
128        "message": "string",
129        "multivoice_message": {
130          "parts": [
131            {
132              "text": "string",
133              "voice_label": "string",
134              "time_in_call_secs": 1
135            }
136          ]
137        },
138        "tool_calls": [
139          {
140            "request_id": "string",
141            "tool_name": "string",
142            "params_as_json": "string",
143            "tool_has_been_called": true,
144            "type": "system",
145            "tool_details": {
146              "type": "webhook",
147              "method": "string",
148              "url": "string",
149              "body": "string",
150              "headers": {},
151              "path_params": {},
152              "query_params": {}
153            }
154          }
155        ],
156        "tool_results": [
157          {
158            "request_id": "string",
159            "tool_name": "string",
160            "result_value": "string",
161            "is_error": true,
162            "is_blocked": false,
163            "tool_has_been_called": true,
164            "tool_latency_secs": 0,
165            "error_type": "",
166            "raw_error_message": "",
167            "dynamic_variable_updates": [
168              {
169                "variable_name": "string",
170                "old_value": "string",
171                "new_value": "string",
172                "updated_at": 1.1,
173                "tool_name": "string",
174                "tool_request_id": "string"
175              }
176            ],
177            "type": "client"
178          }
179        ],
180        "feedback": {
181          "score": "like",
182          "time_in_call_secs": 1
183        },
184        "llm_override": "string",
185        "conversation_turn_metrics": {
186          "metrics": {},
187          "convai_asr_provider": "string",
188          "convai_tts_model": "string",
189          "convai_tts_cascade": "string"
190        },
191        "rag_retrieval_info": {
192          "chunks": [
193            {
194              "document_id": "string",
195              "chunk_id": "string",
196              "vector_distance": 1.1
197            }
198          ],
199          "embedding_model": "e5_mistral_7b_instruct",
200          "retrieval_query": "string",
201          "rag_latency_secs": 1.1,
202          "used_chunk_ids": [
203            "string"
204          ]
205        },
206        "llm_usage": {
207          "model_usage": {}
208        },
209        "interrupted": false,
210        "original_message": "string",
211        "source_medium": "audio",
212        "source_event_id": 1,
213        "used_static_kb_document_ids": [
214          "string"
215        ]
216      }
217    ]
218  },
219  "success_condition": "",
220  "success_examples": [
221    {
222      "response": "string",
223      "type": "string"
224    }
225  ]
226}
Gets an agent response test by ID.
Was this page helpful?
Previous

Create test

Next
Built with

Path parameters

test_idstringRequired
The id of a chat response test. This is returned on test creation.

Headers

xi-api-keystringOptional

Response

Successful Response
llmobject
OR
toolobject
OR
simulationobject

Errors

422
Unprocessable Entity Error