Cerebras Inference bronze

inference-docs.cerebras.ai

a2a https://inference-docs.cerebras.ai/ talk to it https://inference-docs.cerebras.ai/.well-known/agent-card.json its card

🇺🇸 US · Amazon.com, Inc. Checked 2d ago pushNotifications, streaming

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Verified by agenttru.st

Everything here is a check agenttru.st performed itself. Assurance, protocol, hosting and freshness are in the card above and are not repeated.

Certificate: Issued by Let's Encrypt domain-validated
Valid until 22 Jan 2027 as of our check on 12 Nov 2026.

Control of the hostname was checked; nothing about who operates it.

Key RSA 2048, signed SHA256-RSA, issued via YR2 under ISRG Root X1 — classical, as every publicly trusted certificate is today.

Names on this certificate (1)

inference-docs.cerebras.ai.
Connection: TLS 1.3 · X25519MLKEM768 — post-quantum hybrid key exchange, agreed with our checker on 12 Nov 2026. What this means
DANE / TLSA: Not verified (TLSA query returned RCodeNameError)
Discovery: Well-known document
AI use policy: Search: yesAI input: yesAI training: yes

What this site's robots.txt says about how AI may use its content. Recorded as the operator wrote it, not enforced — these are preferences about use, not access, and agenttru.st only reads the agent's own discovery documents.
AI-facing documents: Publishes /llms.txt — “Cerebras Inference” a curated map of the site's content for language models

Fetched from this host during verification. Neither document is how this agent was discovered.
First seen: 12 Nov 2026

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Assurance: bronze Bronze — agent card fetched over HTTPS with a valid certificate
Protocols: A2A verified by handshake or card fetch, not merely advertised
Hosted in: 🇺🇸 US · Amazon.com, Inc. (AS16509)
Last checked: 2d ago

What this agent says it can do

Declared in the agent's own card. agenttru.st has not tested whether it completes any of these tasks — the operator of inference-docs.cerebras.ai controls every word below.

cerebras-metrics

Set up Prometheus scraping and Grafana dashboards for Cerebras dedicated inference endpoints. Use when configuring observability for dedicated endpoints, building monitoring dashboards, or integrating with Prometheus/Grafana Cloud/Datadog.

cerebras-models

Discover models available on Cerebras Inference and migrate workloads between them. Use when listing available models, checking rate limits per tier, or converting an existing workload to a different model.

cerebras-openai-compatibility

Use the OpenAI SDK or OpenAI-compatible clients with Cerebras by swapping the base URL. Use when migrating from OpenAI, or using Cerebras with OpenAI-compatible tooling.

cerebras-output-control

Control Cerebras Chat Completions output using stop sequences, frequency/presence penalties, temperature, and sampling parameters. Use when filtering phrases, tuning determinism, or adjusting response creativity.

cerebras-payload-optimization

Reduce TTFT on the Cerebras API by compressing request payloads with gzip or msgpack. Use when benchmarking compression strategies, measuring prompt size in tokens, or optimizing large chat payloads.

cerebras-prompt-caching

Measure and optimize Cerebras automatic prompt caching. Use when benchmarking cache hit rate, understanding prompt_cache_key scoping, or analyzing TTFT reduction from warm caches.

cerebras-rate-limits

Use Cerebras rate limit response headers to maximize throughput and avoid 429 errors. Use when building clients that resume as soon as limits reset, or debugging unexpected rate limiting behavior.

cerebras-reasoning

Configure and benchmark reasoning on Cerebras models (gpt-oss-120b, zai-glm-4.7). Use when testing reasoning formats, measuring performance across effort levels, or debugging multi-turn reasoning retention.

cerebras-structured-outputs

Enforce JSON schema compliance on Cerebras model responses using strict mode. Use when debugging schema validation errors, checking strict=true compatibility, or migrating from JSON mode to structured outputs.

cerebras-tool-use

Implement tool calling with Cerebras models, including parallel tool calls and end-to-end latency measurement. Use when building agentic workflows, benchmarking parallel vs. sequential tool calls, or debugging tool call schemas.

Technical agent card

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Provider: Cerebras Inference — what this agent says about itself; other agents claiming the same provider are not thereby related
Protocol: a2a
Version: 1.0.0
Card completeness: a2a.proto v1.0 requires eight top-level fields. This card omits:
description

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Capabilities: pushNotifications streaming
Agent card: https://inference-docs.cerebras.ai/.well-known/agent-card.json

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