Lumenfall Engine API
47
AI ReadinessFoundational (D+)47/100
Official vendor OpenAPI document · agent-readyAI/MLMl Inferencebearer (lmnfl_<key_id>.<secret> API key)9 EndpointsREST
For Agents
Generate and edit images, create video generation jobs, and run chat completions across models through OpenAI-compatible Lumenfall endpoints, with cost estimates via dryRun and balance checks. Authenticates with an lmnfl_ bearer key.
Use for: Generate a product photo of a ceramic mug on a wooden table, I want to edit this image to replace the background, Create a short video clip from a text prompt, Check the status of my video generation job
Not supported: Does not host or fine-tune custom models, store a media library, or transcode existing video. Use for generating and editing images, generating video, and chat completions through Lumenfall only.
The Lumenfall Engine API runs image, video, and chat models from many providers behind one set of OpenAI-compatible endpoints. It generates and edits images, starts asynchronous video generation jobs that are polled by job ID, and serves chat completions with optional streaming, while native endpoints report the account balance and list recent requests. A dryRun flag on image requests returns an estimated cost without running the model, and Record and Replay headers can replay a recorded response instead of calling the model, which helps when testing an integration.
Install Jentic One Beta
Connect the Lumenfall Engine API to your agent
Jentic One is a self-hosted execution layer for AI agents. It lets your agent call the Lumenfall Engine 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.
1
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%2Flumenfall.ai%2Flumenfall" | 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%2Flumenfall.ai%2Flumenfall" | 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 Lumenfall Engine API.
Generate images from a prompt with a chosen model, size, quality, and response_format of url or b64_json via POST /openai/v1/images/generations
Edit an uploaded image with a prompt and optional mask through POST /openai/v1/images/edits
Start an asynchronous video generation job with prompt, duration_seconds, and size, then poll GET /openai/v1/videos/{id}
Run OpenAI-compatible chat completions with stream, temperature, and max_tokens via POST /openai/v1/chat/completions
Estimate the cost of an image request without running the model by setting dryRun to true
Replay recorded responses during testing with the X-Lumenfall-Replay headers instead of paying for a fresh generation
Check the account balance and list recent requests filtered by key_id or time window
Use Cases
Patterns agents use Lumenfall Engine API for, with concrete tasks.
★ Creative agent through Jentic
A content agent produces visuals on request without the developer wiring each model provider. It searches Jentic for 'generate an image', receives POST /openai/v1/images/generations with its model, prompt, size, and response_format fields, picks a model from GET /openai/v1/models, and returns the image URL. A dryRun call first lets it report the estimated cost before spending.
Call GET /openai/v1/models, choose an image model, call POST /openai/v1/images/generations with dryRun true to get the estimated cost, then run it with prompt 'ceramic mug on a wooden table, soft light' and size 1024x1024
Asynchronous video generation
Video takes longer than an HTTP request, so Lumenfall runs it as a job. POST /openai/v1/videos returns 202 with a job ID for a prompt, duration_seconds, and size, and the agent polls GET /openai/v1/videos/{id} until the job finishes, then hands back the result.
Call POST /openai/v1/videos with a chosen model, prompt 'drone shot over a foggy forest at sunrise', and duration_seconds 5, then poll GET /openai/v1/videos/{id} until the job completes
Deterministic integration tests with Record and Replay
Testing an image pipeline against live models is slow and costs money on every run. Setting X-Lumenfall-Replay on generation requests lets Lumenfall return a recorded response, with X-Lumenfall-Replay-Match choosing how recordings are matched and X-Lumenfall-Replay-Latency set to instant or real to simulate timing.
Call POST /openai/v1/images/generations with the X-Lumenfall-Replay header set to a replay-or mode and X-Lumenfall-Replay-Latency instant, and confirm the response comes from a recording
Spend monitoring
Keep an eye on usage across keys. GET /v1/balance returns the account balance, and GET /v1/requests lists recent requests with limit, created_after, created_before, and key_id filters, so a developer can see which key spent what over a window.
Call GET /v1/balance, then GET /v1/requests with created_after set to the start of the week and key_id for the production key, and summarise the requests
Key Endpoints
9 endpoints — the lumenfall engine api runs image, video, and chat models from many providers behind one set of openai-compatible endpoints.
METHOD
PATH
DESCRIPTION
POST
/openai/v1/images/generations
Generate images
POST
/openai/v1/images/edits
Edit images
POST
/openai/v1/videos
Create a video generation job
GET
/openai/v1/videos/{id}
Get video job status
POST
/openai/v1/chat/completions
Chat completions
GET
/openai/v1/models
List models
GET
/v1/balance
Get account balance
POST
/openai/v1/images/generations
Generate images
POST
/openai/v1/images/edits
Edit images
POST
/openai/v1/videos
Create a video generation job
GET
/openai/v1/videos/{id}
Get video job status
POST
/openai/v1/chat/completions
Chat completions
GET
/openai/v1/models
List models
GET
/v1/balance
Get account balance
Jentic AI Readiness Score
This API is usable in Jentic One now. Its AI-readiness score against Jentic's framework shows where it stands today and where improvements would make it even easier for agents to use.
L
Lumenfall Engine API
- Foundational (D+)47/100
100
Foundational Compliance63
Developer Experience & Jentic Compatibility22
AI-Readiness & Agent Experience94
Agent Usability60
Security63
AI DiscoverabilityPowered by JenticScoring Framework 1.0.0 | Scoring Engine 0.4.2
Show dimension breakdown
100
Foundational Compliance
Base layer of spec validity and structural soundness.
Grade: A+Signals: 4
98%
Lint Results
Aggregated quality score from linter diagnostics, weighted by severity.
100%
Resolution Completeness
Percentage of `$ref` references that resolve successfully.
100%
Specification Validity
Checks whether the API description parses successfully and conforms to its declared specification (e.g., OpenAPI).
100%
Structural Integrity
Structural correctness score based on schema issues using logarithmic dampening.
63
Developer Experience & Jentic Compatibility
Clarity, completeness, and ingestion readiness for developers and tooling.
Grade: BSignals: 4
6%
Example Density
How richly the API is illustrated with examples.
100%
Example Validity
Percentage of examples that conform to their schemas.
47%
Response Coverage
Percentage of operations with complete response definitions (success, client error, server error).
100%
Tooling Readiness
Health of API ingestion, bundling, and resolution within Jentic pipelines.
22
AI-Readiness & Agent Experience
Semantic breadth, depth, and agent comprehension for AI systems.
Grade: FSignals: 4
40%
Description Coverage
Coverage of descriptions across API elements.
0%
Error Standardization
Coverage of RFC 9457 Problem Details for error responses.
0%
OperationId Quality
Coverage, uniqueness, and casing consistency of operationIds for AI inference.
47%
Summary Coverage
Coverage of summaries across operations/tags/info.
94
Agent Usability
Functional utility, complexity comfort, and AI orchestration readiness.
Grade: A+Signals: 1
94%
Complexity Comfort
Agent comfort level based on API operational and structural complexity.
60
Security
Trust, risk posture, and security compliance.
Grade: B-Signals: 1
60%
Authentication Strength
Average quality of security schemes based on authentication method strength (weakest link for OAuth2).
63
AI Discoverability
Findability, semantic richness, and reasoning readiness.
Grade: B-Signals: 1
62%
Descriptive Richness
Clarity and depth of descriptions across API elements.
Score it yourself
Every API in the directory is allowlisted, so you can re-score it with no key required.
npx @jentic/api-scorecard-cli score <openapi-url>Why Jentic?
What agents get from Jentic-routed access to this vendor.
Setup
Wiring Lumenfall by hand means handling its lmnfl_ bearer key, multipart uploads for image edits, polling asynchronous video jobs, and the Record and Replay headers. Through Jentic you install once, import Lumenfall from the API Directory, store the key once, and your agent calls it.
Permission scoping
Rules filter by method and path, so you can bound the agent to the operations it needs, such as image generation and model listing. Video job status reads carry the job id in the path (/openai/v1/videos/{id}), so a rule can pin polling to one job. Spending operations like video generation are not included unless you add them.
Credential isolation
Your Lumenfall API key is stored once, encrypted, by your own Jentic One instance and injected at execution time. It never enters the agent's prompt, logs, or context.
Intent-based discovery
Agents search Jentic by intent such as 'generate an image' or 'create a video from a prompt', and Jentic returns the matching Lumenfall operation with its input schema, including model, prompt, and size, so the agent calls the right endpoint without browsing the reference docs.
Related APIs
Alternatives and complements available in the Jentic catalogue.
FAQs
Specific to using Lumenfall Engine API through Jentic.
What authentication does the Lumenfall Engine API use?
Per its OpenAPI spec, the Lumenfall Engine API uses an HTTP bearer token in the form lmnfl_<key_id>.<secret>, sent in the Authorization header. Through Jentic, the key is stored encrypted by your own Jentic One instance and injected at execution time.
Is the Lumenfall Engine API compatible with OpenAI clients?
Yes. Image generation, image edits, videos, models, and chat completions sit under the /openai/v1 prefix and follow OpenAI-compatible request shapes, such as model and prompt for images and model and messages for chat. Account endpoints like GET /v1/balance and GET /v1/requests are Lumenfall-native.
Can I see what an image generation will cost before running it?
Yes. Set the dryRun query parameter to true on POST /openai/v1/images/generations or POST /openai/v1/images/edits and Lumenfall returns an estimated cost without running the model.
What are the rate limits for the Lumenfall Engine API?
The OpenAPI spec does not specify rate limits. Check https://docs.lumenfall.ai for current limits.
How do I generate an image with Lumenfall through Jentic?
Install Jentic One, add the Lumenfall Engine API from the Jentic directory, and store your lmnfl_ key. Your agent searches for 'generate an image', receives POST /openai/v1/images/generations with its input schema, and sends model and prompt. To run it on your own infrastructure, install Jentic One from its GitHub repo.
Is there a Lumenfall MCP server?
You don't need an MCP server to give your agent Lumenfall. Jentic connects it directly from the API Directory: import it, store your API key once, and your agent calls the image, video, and chat operations by intent.
Can I limit what my agent is allowed to do with the Lumenfall Engine API?
Yes. A rule allowing only POST /openai/v1/images/generations and GET /openai/v1/models lets the agent make images but not start video jobs or read your request history. The agent's calls are logged for review.
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