Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add team-telnyx/ai --skill telnyx-ai-inference-javagit clone --depth 1 https://github.com/team-telnyx/aiWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/team-telnyx/ai/telnyx-ai-inference-java)<a href="https://agentmods.dev/skills/team-telnyx/ai/telnyx-ai-inference-java"><img src="https://agentmods.dev/badge/skills/team-telnyx/ai/telnyx-ai-inference-java/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/team-telnyx/ai/telnyx-ai-inference-java"><img src="https://agentmods.dev/badge/skills/team-telnyx/ai/telnyx-ai-inference-java.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00035 | $0.08053 |
| Opus 5.5 | $0.00014 | $0.03221 |
| Sonnet 5.5 | $0.00007 | $0.01611 |
| Haiku 4.5 | $0.00003 | $0.00805 |
Grade A, and why
telnyx-ai-inference-java scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 6d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
This is a copy
94% identical to telnyx-ai-inference-curl — 818 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 802 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Telnyx Ai Inference - Java
Installation
<!-- Maven -->
<dependency>
<groupId>com.telnyx.sdk</groupId>
<artifactId>telnyx</artifactId>
<version>6.95.0</version>
</dependency>
// Gradle
implementation("com.telnyx.sdk:telnyx:6.95.0")
Setup
import com.telnyx.sdk.client.TelnyxClient;
import com.telnyx.sdk.client.okhttp.TelnyxOkHttpClient;
// fromEnv() reads TELNYX_API_KEY and TELNYX_PUBLIC_KEY (the public key is required for
// client.webhooks().unwrap() — webhook verification)
TelnyxClient client = TelnyxOkHttpClient.fromEnv();
All examples below assume client is already initialized as shown above.
Error Handling
All API calls can fail with network errors, rate limits (429), validation errors (422), or authentication errors (401). Always handle errors in production code:
import com.telnyx.sdk.errors.TelnyxServiceException;
try {
var result = client.messages().send(params);
} catch (TelnyxServiceException e) {
System.err.println("API error " + e.statusCode() + ": " + e.getMessage());
if (e.statusCode() == 422) {
System.err.println("Validation error — check required fields and formats");
} else if (e.statusCode() == 429) {
// Rate limited — wait, then retry the request (bounded exponential backoff)
Thread.sleep(1000);
// ...retry the call here (give up after a few attempts)
}
throw e; // Re-throw: a failed request must never look like success to the caller
}
Common error codes: 401 invalid API key, 403 insufficient permissions,
404 resource not found, 422 validation error (check field formats),
429 rate limited (retry with exponential backoff).
Important Notes
- Pagination: List methods return a page. Use
.autoPager()for automatic iteration:for (var item : page.autoPager()) { ... }. For manual control, use.hasNextPage()and.nextPage().
Transcribe speech to text
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 6d ago Changed · -57 lines a03a00139068
- 1mo ago First seen · 859 lines · 35 tokens per session scan A 04bd1cec39be
telnyx-ai-inference-java is a skill published in the GitHub repository team-telnyx/ai (224 stars, last pushed today), licensed MIT. It adds 35 tokens to every session and 8,053 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 94% identical to telnyx-ai-inference-curl, differing in 818 lines, and is treated as a copy.
Other skills, from other repositories
azure-ai-vision-imageanalysis-java
Build image analysis applications with Azure AI Vision SDK for Java. Use when implementing image captioning, OCR text extraction, object detection, tagging, or smart cropping.
tsp-type-override
Override TypeSpec types with Java-native types (e.g. OffsetDateTime, DayOfWeek) using @@alternateType in a client.java.tsp file. Use when a TypeSpec model field has an incorrect or too-generic type that should map to a specific Java type.
tsp-naming-collision
Fix Java codegen parameter names that end with a numeric suffix (e.g. createAgentRequest1) caused by TypeSpec model names colliding with synthetic body type names. Use when generated Java client methods have parameter names ending in '1'.
dup-classes
Verify whether generated Java classes duplicate openai-java models by comparing fields/types (names may differ). Use when checking for duplicate model coverage.
ax-java-gen
Use when writing Java code with dev.axllm:ax for AxGen programs, forward calls, indexed multi-sampling, result pickers, streaming, tools, assertions, traces, usage, and output parsing.
aicore-sdk-java
Generate working Java boilerplate for SAP GenAI Hub using the SAP AI SDK for Java (com.sap.ai.sdk). Covers chat completion, streaming, multi-turn conversations, prompt templates, content filtering, data masking, embeddings, RAG/grounding, prompt registry, and Spring Boot streaming. WHEN: user asks for Java or Kotlin…