> For the complete documentation index, see [llms.txt](https://developer.emporix.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://developer.emporix.io/api-references/readme/api-reference/conversation.md).

# Conversation

Manage Agent Conversations

## Listing conversations

> Retrieves agent conversations based on the provided query.

```json
{"openapi":"3.0.0","info":{"title":"AI Service","version":"0.0.1"},"tags":[{"name":"Conversation","description":"Manage Agent Conversations"}],"servers":[{"url":"https://api.emporix.io"}],"security":[{"OAuth2":["ai.agent_read"]}],"components":{"securitySchemes":{"OAuth2":{"type":"oauth2","flows":{"clientCredentials":{"scopes":{"ai.text_manage":"Needed to execute actions related to the text generation.","ai.completion_manage":"Needed to execute actions related to the AI completions.","ai.agentexecution_manage":"Needed to execute agentic chat.","ai.agentexecution_manage_own":"Needed to execute agentic chat by customers.","ai.agent_read":"Needed to read AI agents.","ai.agent_manage":"Needed to manage AI agents."},"tokenUrl":"https://api.emporix.io/oauth/token"}}}},"schemas":{"ConversationResponse":{"type":"object","description":"Represents an active agent conversation context (MS Teams channel or group chat).","properties":{"conversationId":{"type":"string","description":"Provider-side conversation identifier (Teams conversation ID)."},"conversationName":{"type":"string","description":"Human-readable name of the conversation channel or group chat."},"contextRef":{"type":"string","description":"Caller-supplied reference key used to reuse an existing conversation."},"channelId":{"type":"string","description":"Teams channel or chat identifier."},"agentId":{"type":"string","description":"Identifier of the agent that owns this conversation."},"sessionId":{"type":"string","description":"LangGraph session (checkpointer) ID for agent continuity."},"lastMessageAt":{"type":"string","format":"date-time","description":"Timestamp of the last message activity in this conversation."}}},"ErrorMessage":{"type":"object","properties":{"code":{"type":"integer"},"type":{"type":"string"},"message":{"type":"string"},"moreInfo":{"type":"string"},"details":{"type":"array","items":{"type":"object","properties":{"field":{"type":"string"},"type":{"type":"string"},"message":{"type":"string"},"moreInfo":{"type":"string"}}}}},"description":""},"ErrorMessageFault":{"type":"object","properties":{"fault":{"type":"object","properties":{"faultstring":{"type":"string"},"detail":{"type":"object","properties":{"errorcode":{"type":"string"}}}}}}}},"responses":{"400_resp_common":{"description":"The request was syntactically incorrect.","content":{"application/json":{"schema":{"$ref":"#/components/schemas/ErrorMessage"}}}},"401_resp_common":{"description":"The authorization token is invalid or has expired.","content":{"application/json":{"schema":{"$ref":"#/components/schemas/ErrorMessageFault"}}}},"403_resp_common":{"description":"Authorization scopes of the access token are not sufficient and do not match the scopes required by the endpoint.","content":{"application/json":{"schema":{"$ref":"#/components/schemas/ErrorMessage"}}}}}},"paths":{"/ai-service/{tenant}/agentic/conversations":{"get":{"summary":"Listing conversations","operationId":"GET-ai-list-conversations","responses":{"200":{"description":"List of conversations.","content":{"application/json":{"schema":{"type":"array","items":{"$ref":"#/components/schemas/ConversationResponse"}}}}},"400":{"$ref":"#/components/responses/400_resp_common"},"401":{"$ref":"#/components/responses/401_resp_common"},"403":{"$ref":"#/components/responses/403_resp_common"}},"description":"Retrieves agent conversations based on the provided query.","tags":["Conversation"]}}}}
```

## Searching conversations

> Searches for agent conversations based on the provided query.

```json
{"openapi":"3.0.0","info":{"title":"AI Service","version":"0.0.1"},"tags":[{"name":"Conversation","description":"Manage Agent Conversations"}],"servers":[{"url":"https://api.emporix.io"}],"security":[{"OAuth2":["ai.agent_read"]}],"components":{"securitySchemes":{"OAuth2":{"type":"oauth2","flows":{"clientCredentials":{"scopes":{"ai.text_manage":"Needed to execute actions related to the text generation.","ai.completion_manage":"Needed to execute actions related to the AI completions.","ai.agentexecution_manage":"Needed to execute agentic chat.","ai.agentexecution_manage_own":"Needed to execute agentic chat by customers.","ai.agent_read":"Needed to read AI agents.","ai.agent_manage":"Needed to manage AI agents."},"tokenUrl":"https://api.emporix.io/oauth/token"}}}},"parameters":{"pageSize":{"schema":{"type":"string"},"in":"query","name":"pageSize","description":"The number of documents to be retrieved per page."},"pageNumber":{"schema":{"type":"string"},"in":"query","name":"pageNumber","description":"The page number to be retrieved. The size of the pages should be specified by the `pageSize` parameter."},"sort":{"schema":{"type":"string"},"in":"query","name":"sort","description":"List of properties used to sort the results, separated by colons."},"fields":{"schema":{"type":"string"},"in":"query","name":"fields","description":"Fields to be returned in the response."},"header_xTotalCount":{"schema":{"type":"boolean"},"in":"header","name":"X-Total-Count","description":"Flag indicating whether the total number of retrieved results should be returned."}},"schemas":{"ConversationResponse":{"type":"object","description":"Represents an active agent conversation context (MS Teams channel or group chat).","properties":{"conversationId":{"type":"string","description":"Provider-side conversation identifier (Teams conversation ID)."},"conversationName":{"type":"string","description":"Human-readable name of the conversation channel or group chat."},"contextRef":{"type":"string","description":"Caller-supplied reference key used to reuse an existing conversation."},"channelId":{"type":"string","description":"Teams channel or chat identifier."},"agentId":{"type":"string","description":"Identifier of the agent that owns this conversation."},"sessionId":{"type":"string","description":"LangGraph session (checkpointer) ID for agent continuity."},"lastMessageAt":{"type":"string","format":"date-time","description":"Timestamp of the last message activity in this conversation."}}},"ErrorMessage":{"type":"object","properties":{"code":{"type":"integer"},"type":{"type":"string"},"message":{"type":"string"},"moreInfo":{"type":"string"},"details":{"type":"array","items":{"type":"object","properties":{"field":{"type":"string"},"type":{"type":"string"},"message":{"type":"string"},"moreInfo":{"type":"string"}}}}},"description":""},"ErrorMessageFault":{"type":"object","properties":{"fault":{"type":"object","properties":{"faultstring":{"type":"string"},"detail":{"type":"object","properties":{"errorcode":{"type":"string"}}}}}}},"QParamSearchBody":{"type":"object","properties":{"q":{"type":"string","description":"A standard query parameter is used to search for specific values. \n\nSee: [Standard Practices - Query parameter](https://developer.emporix.io/api-documentation/standard-practices/q-param)\n"}}}},"responses":{"400_resp_common":{"description":"The request was syntactically incorrect.","content":{"application/json":{"schema":{"$ref":"#/components/schemas/ErrorMessage"}}}},"401_resp_common":{"description":"The authorization token is invalid or has expired.","content":{"application/json":{"schema":{"$ref":"#/components/schemas/ErrorMessageFault"}}}},"403_resp_common":{"description":"Authorization scopes of the access token are not sufficient and do not match the scopes required by the endpoint.","content":{"application/json":{"schema":{"$ref":"#/components/schemas/ErrorMessage"}}}}},"requestBodies":{"QParamSearchBody":{"content":{"application/json":{"schema":{"$ref":"#/components/schemas/QParamSearchBody"}}}}}},"paths":{"/ai-service/{tenant}/agentic/conversations/search":{"post":{"parameters":[{"$ref":"#/components/parameters/pageSize"},{"$ref":"#/components/parameters/pageNumber"},{"$ref":"#/components/parameters/sort"},{"$ref":"#/components/parameters/fields"},{"$ref":"#/components/parameters/header_xTotalCount"}],"summary":"Searching conversations","operationId":"POST-ai-search-conversations","responses":{"200":{"description":"List of conversations.","content":{"application/json":{"schema":{"type":"array","items":{"$ref":"#/components/schemas/ConversationResponse"}}}}},"400":{"$ref":"#/components/responses/400_resp_common"},"401":{"$ref":"#/components/responses/401_resp_common"},"403":{"$ref":"#/components/responses/403_resp_common"}},"requestBody":{"$ref":"#/components/requestBodies/QParamSearchBody"},"description":"Searches for agent conversations based on the provided query.","tags":["Conversation"]}}}}
```


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation by asking a question.

Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters:

```
GET https://developer.emporix.io/api-references/readme/api-reference/conversation.md?ask=<question>&goal=<user_goal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case.

The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.