How AI is applied across API Evangelist and APIs.io. Read my AI disclosure →
API Evangelist API Evangelist
Discovery
Learnings
Guidance
Toolbox
Alignment
API Evangelist LLC

H2O.ai Chat API

The Chat API from H2O.ai — 29 operation(s) for chat.

H2O.ai Chat API is one of 26 APIs that H2O.ai publishes on the APIs.io network, described by a machine-readable OpenAPI specification.

Tagged areas include Chat. The published artifact set on APIs.io includes an OpenAPI specification, API documentation, an API reference, a getting-started guide, authentication docs, and a changelog.

This API exposes 35 operations across 29 paths, and defines 28 schemas. It is described by OpenAPI 3.2.0, at version v1.0.0.

Requests are made against a single base URL, https://h2ogpte.genai.h2o.ai/api/v1.

35 operations 29 paths 28 schemas 6 DELETE14 GET1 PATCH11 POST3 PUT

Metadata

The identity and technical contract details declared by the specification.

Specification
OpenAPI 3.2.0
API Version
v1.0.0
Base URL
https://h2ogpte.genai.h2o.ai/api/v1
Authentication
HTTP Bearer
Resource Areas
1

Authentication & Security 1

H2O.ai Chat API declares 1 security scheme for authenticating requests. It accepts HTTP bearer tokens (bearerAuth). By default, every request must be authenticated.

  • bearerAuth — Using an API key generated by H2OGPTe

Paths & Operations 35

Across 29 paths, the API surfaces 35 operations — 6 DELETE, 14 GET, 1 PATCH, 11 POST, 3 PUT. Each is listed below with its method, path, parameters, and response codes.

Chat 35
POST
/chats
Creates chat session
create_chat_session 1 param body → 201400401404default
GET
/chats
List chat sessions
list_chat_sessions 2 params → 200400401default
GET
/chats/count
Counts a number of chat sessions
get_chat_session_count → 200400401default
POST
/chats/delete_job
Creates job to delete chat sessions
create_delete_chat_session_job body → 201400401default
GET
/chats/{session_id}
Finds a chat session by id
get_chat_session 1 param → 200400401404default
DELETE
/chats/{session_id}
Deletes collection
delete_chat_session 2 params → 204400401default
PATCH
/chats/{session_id}
Updates the name of a chat session
update_chat_session 1 param body → 200400401404default
POST
/chats/{session_id}/synth_message_pair
Insert a synthetic user-question + AI-reply pair into chat history
insert_command_synth_pair 1 param body → 201400401404default
POST
/chats/{session_id}/fork
Forks a chat session
fork_chat_session 1 param body → 201400401404default
PUT
/chats/{session_id}/collection
Updates a collection reference of a chat session
update_chat_session_collection 1 param body → 200400401404default
DELETE
/chats/{session_id}/collection
Removes a collection reference from the chat session
delete_chat_session_collection 1 param → 200400401404default
PUT
/chats/{session_id}/prompt_template
Updates a prompt template reference of a chat session
update_chat_session_prompt_template 1 param body → 200400401404default
DELETE
/chats/{session_id}/prompt_template
Removes a prompt template reference from the chat session
delete_chat_session_prompt_template 1 param → 200400401404default
GET
/chats/{session_id}/guardrails
Get guardrails settings for a chat session
get_chat_session_guardrails 1 param → 200400401default
GET
/chats/{session_id}/agent_server_files
Lists agent server files
list_agent_server_files 1 param → 200400401default
DELETE
/chats/{session_id}/agent_server_files
Deletes agent server files
delete_agent_server_files 1 param → 204400401409default
DELETE
/chats/{session_ids}/agent_server_directoriesdeprecated
Deletes agent server directories
delete_agent_server_directories 2 params → 204400401409default
GET
/chats/{session_id}/agent_server_directories/stats
Lists stats of agent server directories
list_all_agent_server_directories_stats 2 params → 200400401default
GET
/chats/{session_id}/agent_server_directories/{directory_name}/stats
Gets stats of a agent server directory
get_agent_server_directory_stats 3 params → 200400401default
POST
/chats/{session_id}/completions
Get completion
get_completion 1 param body → 200400401500default
GET
/chats/{session_id}/questions
List suggested questions for a given chat session
list_questions_for_chat_session 2 params → 200400401default
GET
/chats/{session_id}/messages
Fetches chat message and metadata for messages in a chat session
get_chat_session_messages 3 params → 200400401404default
DELETE
/messages/{message_ids}
Deletes specific chat messages
delete_messages 1 param → 204400401403404409default
GET
/messages/{message_id}/references
Fetches metadata for references of a chat message
get_message_references 2 params → 200400401default
GET
/messages/{message_id}/meta
Fetches chat message meta information
get_message_meta 2 params → 200400401404default
PUT
/messages/{message_id}/votes
Changes the vote value of a chat message
set_message_votes 1 param body → 204400401404409default
POST
/messages/{question_id}/pause
Pause a streaming chat response
pause_chat_message 1 param → 204400401default
POST
/messages/{question_id}/resume
Resume a paused chat response
resume_chat_message 1 param → 204400401default
POST
/messages/{question_id}/stop
Stop a streaming chat response immediately
stop_chat_message 1 param → 204400401default
POST
/messages/{question_id}/finish
Signal the LLM to finish its response gracefully
finish_chat_message 1 param → 204400401default
POST
/messages/{question_id}/hitl
Send a course correction message to a running agent
send_hitl_message 1 param body → 204400401default
GET
/question_answer_feedbacks
Lists user's questions and answers that have a feedback
list_question_answer_feedbacks 5 params → 200400401default
POST
/question_answer_feedbacks/{answer_id}
Update feedback for a specific answer to a question
update_question_answer_feedback 1 param body → 204400401default
GET
/question_answer_feedbacks/export/{job_id}
Download a completed feedback CSV export
download_feedback_export 1 param → 200400401404default
GET
/question_answer_feedbacks/count
Counts a number of question-answer feedbacks
get_question_answer_feedback_count 3 params → 200400401default

Schemas 28

The contract defines 28 schemas that model the data the API accepts and returns. The most detailed are QAFeedback (23 properties), GuardrailsSettings (21 properties), JobDetails (18 properties), AgentServerDirectoryStats (15 properties). Each schema is shown below with its type and property counts.

ChatCompletionRequest
object
13 properties 1 required
MessageVoteUpdateRequest
object
1 property 1 required
UpdateQAFeedbackRequest
object
2 properties 2 required
ChatError
object
1 property 1 required
SuggestedQuestion
object
1 property 1 required
ChatCompletionRAGConfig
object
A map with arguments to control RAG (retrieval-augmented-generation) types.: ragtype (type=enum[auto, llmonly, rag, hyde1, hyde2, rag+, alldata]) RAG type opti…
AgentServerDirectoryStats
object
15 properties 14 required
TagFilter
object
Filter for document tags supporting inclusion and exclusion. Note: The exclude list takes priority over the include list. If a document has a tag that appears…
2 properties
ChatSessionUpdateRequest
object
1 property 1 required
Count
object
1 property 1 required
EndpointError
object
2 properties 2 required
ChatCompletionDelta
object
3 properties 2 required
ChatSession
object
9 properties 2 required
AgentServerFile
object
6 properties 6 required
CollectionChangeRequest
object
1 property 1 required
ChatCompletion
object
2 properties 2 required
ChatMessage
object
11 properties 6 required
JobDetails
object
18 properties 13 required
ChatMessageReference
object
9 properties 6 required
JobDetailsStatus
object
2 properties 2 required
GuardrailsSettings
object
21 properties
PromptTemplateChangeRequest
object
1 property 1 required
DeleteChatSessionsJobRequest
object
1 property 1 required
AgentServerDirectoryFileStats
object
12 properties 11 required
ChatCompletionSelfReflectionConfig
object
A map with self reflection settings: llmreflection (type=string, example=gpt-4-0613) promptreflection (type=string, example=\"\"\"Prompt:\\\\n%s\\\\n\"\"\"\\\\…
ChatMessageMeta
object
2 properties 2 required
QAFeedback
object
23 properties 6 required
ChatCompletionRequestLLMArgs
object
A map of arguments sent to LLM with query. temperature (type=double, default=0.0) - A value used to modulate the next token probabilities. 0 is the most determ…

Specification

The full machine-readable OpenAPI contract behind this narrative.

Source

h2o-ai-chat-api-openapi.yml Raw ↑

Other APIs H2O.ai publishes across the network.

h2oGPTe MCP Server
H2O.ai Admin Sessions API
H2O.ai Agents API
H2O.ai AI Assistants API
H2O.ai API Keys API
H2O.ai Collections API
H2O.ai Configurations API
H2O.ai Document Ingestion API
H2O.ai Documents API
H2O.ai Extractors API
H2O.ai Forums API
H2O.ai Graph RAG API
Where this information came from

This is an independent, third-party profile of H2O.ai Chat API, published by API Evangelist. We do not operate, host, resell, or support these APIs, and we are not affiliated with or endorsed by the company unless stated above. Everything here is built from publicly available information — the company's own site, developer portal, documentation, public repositories, and the specifications it publishes for public use. Nothing is obtained by breaching a system, defeating an access control, or using credentials.

The Kin Score and Agent Readiness rating are independently calculated assessments of a company's public API artifacts, scored against a published rubric. They are not certifications, endorsements, security assessments, or audits.

Corrections, re-scores, and removal are free — no partnership or purchase required, and you do not need to justify the request. A removed company is recorded as unrated, never scored zero for having asked. Acknowledgement within one business day; removal within two.

info@apievangelist.com · Read the full data-sourcing policy →
On a security or compliance team? Put security in the subject line and you will get a person, not a form — we will tell you exactly which public URLs this profile was built from.