Inflection AI API
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AI ReadinessAI-Aware (B-)62/100
Official vendor OpenAPI document · agent-readyAI/MLLanguage Modelsbearer7 EndpointsREST
Install Jentic One Beta
Connect the Inflection AI API to your agent
Jentic One is a self-hosted execution layer for AI agents. It lets your agent call the Inflection AI API, or any other public or private API you need. You set the rules, the agent never sees your credentials, and every call is logged.
Two steps, two machines. Install the instance in a safe environment, then register your agent from wherever it runs.
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Step 1: Jentic One Host machine
# On the machine that will host your Jentic One instance:
curl -fsSL "https://jentic.com/install.sh?src=apis&api=%2Fapis%2Finflection.ai%2Fmain" | sh2
Step 2: Agent machine
# On the machine where your agent runs (keep this separate from the instance):
curl -fsSL "https://jentic.com/install.sh?src=apis&api=%2Fapis%2Finflection.ai%2Fmain" | sh
jentic register # connects your agent to your Jentic One instanceJentic One is in public beta. The setup above keeps your agent separate from the instance, which is what you want before using real credentials: an agent running as the same OS user as Jentic One can read its stored keys directly. Just evaluating? A single local install is fine to start. See the secure deployment guide for the tiers.
Capabilities
What an agent can do with Inflection AI API.
Generate chat completions from Inflection AI language models
Create vector embeddings for text
Retrieve chat attributes for a conversation
Read discovery configurations for available options
Run legacy inference requests, including streaming
Use Cases
Patterns agents use Inflection AI API for, with concrete tasks.
★ Conversational responses
A product needs model-generated replies inside a chat experience. Inflection AI accepts a sequence of messages and returns a chat completion, so an application can power a conversational feature without hosting a model. Streaming inference is available where a product wants responses to appear incrementally.
Send a conversation history and return the model's chat completion
Text embeddings for search
A retrieval feature needs vector representations of text. Inflection AI creates embeddings for supplied text, letting an application build semantic search or clustering over its own documents. The embeddings endpoint pairs with a vector store the product already runs.
Create embeddings for a set of documents and return the vectors for indexing
AI agent model access
An AI agent needs a language model it can call under governed access. The agent sends prompts for chat completions or embeddings and reads discovery configurations to pick options, with each model operation gated behind what the operator has allowed. The token stays outside the agent's own context.
Read the discovery configurations, then send a prompt to the selected model for a completion
Key Endpoints
7 endpoints — inflection ai provides an api for its language models, covering chat completions, embeddings, and inference.
METHOD
PATH
DESCRIPTION
POST
/v1/chat/completions
Create a chat completion
POST
/v1/embeddings
Create embeddings for text
POST
/v1/chat/attributes
Get chat attributes
GET
/v1/discovery/configs
List discovery configurations
POST
/external/api/inference
Run a legacy inference request
GET
Why Jentic?
What agents get from Jentic-routed access to this vendor.
Setup
Wiring Inflection AI by hand means provisioning a bearer token, choosing between the current chat endpoints and the legacy inference paths, and handling streaming responses. Install Jentic One once, import the API from the Jentic API Directory, and store the credential once for your agent to reuse.
Permission scoping
Scope your agent to the operations it needs, such as chat completions or embeddings, and withhold the rest. You decide which operations are callable, so an agent can generate text without gaining access to every endpoint.
Credential isolation
Your Inflection AI token is stored once, encrypted, by your own Jentic One instance and injected only at execution time. It never enters the agent's prompt, logs, or context.
Intent-based discovery
Agents find Inflection AI through Jentic's intent search: a query such as 'generate a chat completion' matches the chat and embeddings operations, which the agent then calls with your stored credential.
Related APIs
Alternatives and complements available in the Jentic catalogue.
FAQs
Specific to using Inflection AI API through Jentic.
What can an AI agent do with the Inflection AI API?
An agent can generate chat completions, create text embeddings, read chat attributes and discovery configurations, and run inference requests including a streaming variant. It provides governed access to Inflection AI language models.
How does the Inflection AI API authenticate?
It authenticates with a bearer token on requests to its model endpoints, while the service status endpoint is open. Jentic injects the token at execution time so it stays out of the agent's context.
Can I limit what my agent is allowed to do with the Inflection AI API?
Yes. Your Jentic One instance decides which operations an agent may call, so you can allow chat completions while withholding embeddings or the legacy inference endpoints. Nothing outside the operations you allow is reachable.
What operations does the Inflection AI API offer?
It offers chat completions, text embeddings, chat attributes, and discovery configurations, plus legacy inference endpoints including a streaming variant for existing integrations.
How do I connect the Inflection AI API to my AI agent with Jentic?
Install Jentic One with its setup script, import the Inflection AI API from the Jentic API Directory, and store your token once. Your agent can then call the chat and embeddings operations you allow.
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