|
Today, we’re announcing the availability of [Claude Fable 5](https://www.anthropic.com/news/Claude-Fable-5-mythos-5) on [Amazon Bedrock](https://aws.amazon.com/bedrock/?trk=d8ec3b19-0f37-4f8c-8c12-189f913e205c&sc_channel=el) and [Claude Platform on AWS](https://aws.amazon.com/Claude-Platform/?trk=d8ec3b19-0f37-4f8c-8c12-189f913e205c&sc_channel=el). Claude Fable 5 makes Mythos-level capabilities available to customers, with strong safeguards designed to make it safe for broader use. Fable 5 is state-of-the-art on nearly all tested benchmarks and delivers exceptional performance in software engineering, knowledge work tasks, and vision – built for ambitious, long running work.
With Claude Fable 5 on Bedrock, you can build within your existing AWS environment and scale inference workloads. You can also use Claude Fable 5 through the Claude Platform on AWS, giving you Anthropic’s native Platform experience.
According to Anthropic, Claude Fable 5 represents a step-change in what you can accomplish with AI models. Here is what makes this model different:
- Long-running, asynchronous execution — Claude Fable 5 handles complex tasks that previous models could not sustain, executing coding and knowledge work tasks for extended periods without intervention.
- Advanced vision capabilities — Claude Fable 5 understands diagrams, charts, and tables nested in files and PDFs. This opens up research and document-heavy work in finance, legal, analytics, architecture, and gaming. In coding, the model implements designs with high fidelity and uses vision to critique its output against goals.
- Proactive self-verification — The model updates its own skills based on learnings and develops its own harnesses and evaluations.
Claude Fable 5 includes safeguards that limit its performance in specific areas where misuse risk is elevated. Harmful prompts related to cybersecurity, biology, chemistry, and health fall back to receive a response from Opus 4.8 instead. Anthropic is able to expand access to nearly all of Claude Fable 5’s state-of-the-art capabilities by developing more powerful safeguards. The same model without these limits is [Claude Mythos 5](https://www.anthropic.com/news/Claude-Fable-5-mythos-5) and it will only be available to a small group of vetted customers.
Claude Fable 5 model in action
You can use Claude Fable 5 in both Amazon Bedrock and Claude Platform on AWS. This post covers guidance on how to access and use on Amazon Bedrock. For guidance on the Claude Platform on AWS, visit the [documentation](https://docs.aws.amazon.com/Claude-Platform/latest/userguide/welcome.html?trk=d8ec3b19-0f37-4f8c-8c12-189f913e205c&sc_channel=el) to learn more.
To get started with Amazon Bedrock, you can access the model programmatically now using the [Anthropic Messages API](https://docs.aws.amazon.com/bedrock/latest/userguide/model-parameters-anthropic-Claude-messages.html?trk=d8ec3b19-0f37-4f8c-8c12-189f913e205c&sc_channel=el) to call the bedrock-runtime or bedrock-mantle endpoints through Anthropic SDK. You can also keep using the [Invoke](https://docs.aws.amazon.com/bedrock/latest/userguide/inference-api.html) and [Converse API](https://docs.aws.amazon.com/bedrock/latest/userguide/conversation-inference.html?trk=d8ec3b19-0f37-4f8c-8c12-189f913e205c&sc_channel=el) on bedrock-runtime through the [AWS Command Line Interface (AWS CLI)](https://aws.amazon.com/cli/?trk=769a1a2b-8c19-4976-9c45-b6b1226c7d20&sc_channel=el) and [AWS SDK](https://aws.amazon.com/developer/tools/?trk=769a1a2b-8c19-4976-9c45-b6b1226c7d20&sc_channel=el).
Configure data retention setting
In order to access Claude Fable 5 model, you must opt into data sharing by using the [Data Retention API](https://docs.aws.amazon.com/bedrock/latest/userguide/data-retention.html?trk=d8ec3b19-0f37-4f8c-8c12-189f913e205c&sc_channel=el) and setting provider_data_share before you can invoke the models. There is no console user interface for this setting at launch.
This mode allows Amazon Bedrock to retain and share your inference data with model providers per their requirements. Anthropic requires 30-day inputs and outputs retention, as well as human review. To learn more, visit the [Amazon Bedrock abuse detection](https://docs.aws.amazon.com/bedrock/latest/userguide/abuse-detection.html?trk=d8ec3b19-0f37-4f8c-8c12-189f913e205c&sc_channel=el).
Here is a sample script to set data retention for the bedrock-mantle engine.
curl -X PUT https://bedrock-mantle.us-east-1.api.aws/v1/data_retention \
-H "x-api-key: 
You can also use Claude Fable 5 with the Invoke API and Converse API on bedrock-runtime endpoint. Here’s an example to call Converse API for a unified multi-model experience using the AWS SDK for Python (Boto3):
import boto3
bedrock_runtime = boto3.client("bedrock-runtime", region_name="us-east-1")
response = bedrock_runtime.converse(
modelId="global.anthropic.Claude-Fable-5",
messages=[
{
"role": "user",
"content": [
{
"text": "Design a distributed architecture on AWS in Python that should support 100k requests per second across multiple geographic regions."
}
]
}
],
inferenceConfig={
"maxTokens": 4096
}
)
print(response["output"]["message"]["content"][0]["text"]) To learn more, visit [code examples](https://docs.aws.amazon.com/bedrock/latest/userguide/service_code_examples_bedrock-runtime_anthropic_Claude.html) that show how to use Amazon Bedrock Runtime with AWS SDKs.
Things to know
Let me share some important technical details that I think you’ll find useful.
- Model access — Claude Fable 5 access is gradually expanding for all AWS accounts. If your account doesn’t have access yet, it will be enabled soon depending on your Bedrock usage. If you want to get access to this model quickly, contact your usual AWS Support.
- Pricing — When a harmful prompt is routed to Opus 4.8 instead of Fable 5, you pay only Opus prices. If a request is blocked mid-conversation, initial tokens are charged at Fable rates and subsequent tokens at Opus rates. To learn more, visit the [Amazon Bedrock pricing](https://aws.amazon.com/bedrock/pricing/?trk=769a1a2b-8c19-4976-9c45-b6b1226c7d20&sc_channel=el)page.
- Data retention — For Fable 5, Mythos 5, and future models on Bedrock with similar or higher capability levels, Anthropic will require 30-day retention for all traffic on Mythos-class models. Retaining data for a limited period allows Anthropic to detect patterns of misuse that are not visible from a single exchange. Once you opt into data retention, your data will leave AWS’s data and security boundary.
- Claude Mythos 5 on Bedrock (Limited Preview) — You can also use Anthropic’s most capable model for cybersecurity and life sciences, including vulnerability discovery, drug design, and biodefense screening. Access is currently limited due to the dual-use nature of these domains. To learn more, visit the [model card documentation](https://docs.aws.amazon.com/bedrock/latest/userguide/model-card-anthropic-Claude-mythos-5.html?trk=d8ec3b19-0f37-4f8c-8c12-189f913e205c&sc_channel=el).
Now available
Anthropic’s Claude Fable 5 model is available today on Amazon Bedrock in the US East (N. Virginia) and Europe (Stockholm) Regions; check the [full list of Regions](https://docs.aws.amazon.com/bedrock/latest/userguide/model-card-anthropic-Claude-Fable-5.html?trk=d8ec3b19-0f37-4f8c-8c12-189f913e205c&sc_channel=el) for future updates. Claude Fable 5 is also available on the Claude Platform on AWS in North America, South America, Europe, and Asia Pacific.
Give Claude Fable 5 a try with the Amazon Bedrock APIs, in the [Claude Platform on AWS](https://console.aws.amazon.com/Claude-Platform/?trk=d8ec3b19-0f37-4f8c-8c12-189f913e205c&sc_channel=el), and send feedback to [AWS re:Post for Amazon Bedrock](https://repost.aws/tags/TAQeKlaPaNRQ2tWB6P7KrMag/amazon-bedrock?trk=d8ec3b19-0f37-4f8c-8c12-189f913e205c&sc_channel=el) or through your usual AWS Support contacts.
— [Channy](https://twitter.com/channyun)
Updated on June 9, 2026 — 1) Updated the console screenshot. You can use the console on bedrock-runtime engine. The console support on bedrock-mantle is coming soon. 2) Fixed the right model id in the sample code, 3) Fixed correct provider_data_share parameter, 4) Add a data retention setting script for bedrock-runtime engine.
Updated on June 10, 2026 —Added how to configure data retention setting through AWS SigV4 and AWS CLI.
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## Microsoft Foundry Blog
## Blog Post
Microsoft Foundry Blog
2 MIN READ
# Claude Opus 4.8 is now available in Microsoft Foundry
[
[amar_badal](https://techcommunity.microsoft.com/users/amar_badal/1503213)
May 28, 2026
## Claude Opus 4.8 is now available in Microsoft Foundry, giving developers and enterprises access to Anthropic’s most capable Opus model for coding, agentic tasks, and professional work.
As AI applications become more complex, teams need models that can handle longer-running work, reason more deeply across complex analysis use tools more reliably across multi-step workflows, and support consistency for production workflows. Claude Opus 4.8 is designed for these demands, with stronger performance across software development, agents, document-heavy analysis, and enterprise workflows.
**Built for complex coding work**
Claude Opus 4.8 is designed to support real-world software development tasks, from feature work and debugging to refactoring, migrations, and multi-stage coding projects.
The model can read and reason across codebases, plan before making edits, track dependencies across longer sessions, and continue working through complex tasks with less manual intervention. This makes it well suited for developer workflows where the model needs to understand context, make changes carefully, and maintain coherence over longer periods of work.
**Stronger support for agentic workflows**
Claude Opus 4.8 also brings improvements for agentic tasks. It is designed to use tools more reliably across multi-step workflows, recover from errors, and problem solve more creatively.
For teams building customer-facing agents, internal automation, or complex workflow orchestration, this matters because agents need more than one-step accuracy. They need to plan, take action, adapt when something fails, and stay within the scope of the task.
**Deeper reasoning for enterprise work**
In addition to coding and agents, Claude Opus 4.8 is designed for professional work that requires reasoning across long documents, complex inputs, and multiple sources.
This can support use cases such as research synthesis, financial analysis, contract review, regulatory workflows, cybersecurity analysis, and other document-heavy enterprise tasks where consistency and depth are important.
**Example use cases**
Claude Opus 4.8 can support a range of horizontal and industry-specific scenarios, including:
**Software development:** Feature work, debugging, code review, refactoring, and large-scale migrations sustained across long sessions in real codebases.
**Research and analysis:** Synthesizing long documents, producing structured briefs, and generating analysis across multiple sources on the first pass.
**Agents and automation:** Multi-step workflows that require tool use, planning, and error recovery withlimited oversight.
**Financial services:** Investment research, earnings analysis, and compliance workflows.
**Legal:** Contract review, redlining, due diligence, legal research, and draft preparation.
**Life sciences:** Literature review, clinical documentation, regulatory submission drafting, and trial data synthesis.
**Cybersecurity:** Threat intelligence synthesis, vulnerability analysis, alert triage, incident response, and security code review.
**Available in Microsoft Foundry**
With Claude Opus 4.8 available in Microsoft Foundry, developers can access the model as part of a broader Platform for building, evaluating, deploying, and operating AI applications.
Microsoft Foundry gives teams a unified environment to work with leading models, compare model fit for their scenarios, evaluate performance against their own data, and move from experimentation to production with enterprise controls.
Claude Opus 4.8 expands the Claude model choice available in Microsoft Foundry and gives teams another strong option for building advanced AI applications that require coding strength, agentic capability, and deep reasoning for enterprise workflows.
Try it today [AI Model Catalog | Microsoft Foundry Models](https://ai.azure.com/catalog)
Join us next week at [Build](https://build.microsoft.com/en-US/home) to learn more about how to use Claude models in Foundry.
Updated May 28, 2026
Version 1.0
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As AI applications become more complex, teams need models that can handle longer-running work, reason more deeply across complex analysis use tools more reliably across multi-step workflows, and support consistency for production workflows. Claude Opus 4.8 is designed for these demands, with stronger performance across software development, agents, document-heavy analysis, and enterprise workflows.
\n\n **Built for complex coding work**
\n Claude Opus 4.8 is designed to support real-world software development tasks, from feature work and debugging to refactoring, migrations, and multi-stage coding projects.
\n The model can read and reason across codebases, plan before making edits, track dependencies across longer sessions, and continue working through complex tasks with less manual intervention. This makes it well suited for developer workflows where the model needs to understand context, make changes carefully, and maintain coherence over longer periods of work.
\n\n **Stronger support for agentic workflows**
\n Claude Opus 4.8 also brings improvements for agentic tasks. It is designed to use tools more reliably across multi-step workflows, recover from errors, and problem solve more creatively.
\n For teams building customer-facing agents, internal automation, or complex workflow orchestration, this matters because agents need more than one-step accuracy. They need to plan, take action, adapt when something fails, and stay within the scope of the task.
\n\n **Deeper reasoning for enterprise work**
\n In addition to coding and agents, Claude Opus 4.8 is designed for professional work that requires reasoning across long documents, complex inputs, and multiple sources.
\n This can support use cases such as research synthesis, financial analysis, contract review, regulatory workflows, cybersecurity analysis, and other document-heavy enterprise tasks where consistency and depth are important.
\n\n **Example use cases**
\n Claude Opus 4.8 can support a range of horizontal and industry-specific scenarios, including:
\n **Software development:** Feature work, debugging, code review, refactoring, and large-scale migrations sustained across long sessions in real codebases.
\n **Research and analysis:** Synthesizing long documents, producing structured briefs, and generating analysis across multiple sources on the first pass.
\n **Agents and automation:** Multi-step workflows that require tool use, planning, and error recovery withlimited oversight.
\n **Financial services:** Investment research, earnings analysis, and compliance workflows.
\n **Legal:** Contract review, redlining, due diligence, legal research, and draft preparation.
\n **Life sciences:** Literature review, clinical documentation, regulatory submission drafting, and trial data synthesis.
\n **Cybersecurity:** Threat intelligence synthesis, vulnerability analysis, alert triage, incident response, and security code review.
\n\n **Available in Microsoft Foundry**
\n With Claude Opus 4.8 available in Microsoft Foundry, developers can access the model as part of a broader Platform for building, evaluating, deploying, and operating AI applications.
\n Microsoft Foundry gives teams a unified environment to work with leading models, compare model fit for their scenarios, evaluate performance against their own data, and move from experimentation to production with enterprise controls.
\n Claude Opus 4.8 expands the Claude model choice available in Microsoft Foundry and gives teams another strong option for building advanced AI applications that require coding strength, agentic capability, and deep reasoning for enterprise workflows.
\n Try it today [AI Model Catalog | Microsoft Foundry Models](https://techcommunity.microsoft.com/%22https://ai.azure.com/catalog/%22)
\n Join us next week at [Build](https://techcommunity.microsoft.com/%22https://build.microsoft.com/en-US/home/%22) to learn more about how to use Claude models in Foundry.
","body@stringLength":"4306","rawBody":" As AI applications become more complex, teams need models that can handle longer-running work, reason more deeply across complex analysis use tools more reliably across multi-step workflows, and support consistency for production workflows. Claude Opus 4.8 is designed for these demands, with stronger performance across software development, agents, document-heavy analysis, and enterprise workflows.
\n\n **Built for complex coding work**
\n Claude Opus 4.8 is designed to support real-world software development tasks, from feature work and debugging to refactoring, migrations, and multi-stage coding projects.
\n The model can read and reason across codebases, plan before making edits, track dependencies across longer sessions, and continue working through complex tasks with less manual intervention. This makes it well suited for developer workflows where the model needs to understand context, make changes carefully, and maintain coherence over longer periods of work.
\n\n **Stronger support for agentic workflows**
\n Claude Opus 4.8 also brings improvements for agentic tasks. It is designed to use tools more reliably across multi-step workflows, recover from errors, and problem solve more creatively.
\n For teams building customer-facing agents, internal automation, or complex workflow orchestration, this matters because agents need more than one-step accuracy. They need to plan, take action, adapt when something fails, and stay within the scope of the task.
\n\n **Deeper reasoning for enterprise work**
\n In addition to coding and agents, Claude Opus 4.8 is designed for professional work that requires reasoning across long documents, complex inputs, and multiple sources.
\n This can support use cases such as research synthesis, financial analysis, contract review, regulatory workflows, cybersecurity analysis, and other document-heavy enterprise tasks where consistency and depth are important.
\n\n **Example use cases**
\n Claude Opus 4.8 can support a range of horizontal and industry-specific scenarios, including:
\n **Software development:** Feature work, debugging, code review, refactoring, and large-scale migrations sustained across long sessions in real codebases.
\n **Research and analysis:** Synthesizing long documents, producing structured briefs, and generating analysis across multiple sources on the first pass.
\n **Agents and automation:** Multi-step workflows that require tool use, planning, and error recovery withlimited oversight.
\n **Financial services:** Investment research, earnings analysis, and compliance workflows.
\n **Legal:** Contract review, redlining, due diligence, legal research, and draft preparation.
\n **Life sciences:** Literature review, clinical documentation, regulatory submission drafting, and trial data synthesis.
\n **Cybersecurity:** Threat intelligence synthesis, vulnerability analysis, alert triage, incident response, and security code review.
\n\n **Available in Microsoft Foundry**
\n With Claude Opus 4.8 available in Microsoft Foundry, developers can access the model as part of a broader Platform for building, evaluating, deploying, and operating AI applications.
\n Microsoft Foundry gives teams a unified environment to work with leading models, compare model fit for their scenarios, evaluate performance against their own data, and move from experimentation to production with enterprise controls.
\n Claude Opus 4.8 expands the Claude model choice available in Microsoft Foundry and gives teams another strong option for building advanced AI applications that require coding strength, agentic capability, and deep reasoning for enterprise workflows.
\n Try it today [AI Model Catalog | Microsoft Foundry Models](https://techcommunity.microsoft.com/%22https://ai.azure.com/catalog/%22)
\n Join us next week at [Build](https://techcommunity.microsoft.com/%22https://build.microsoft.com/en-US/home/%22) to learn more about how to use Claude models in Foundry.
What was it doing there with uv run --with pyobjc-framework-Quartz?
It turns out Fable had hacked up its own pattern for taking screenshots of browser windows. It was using Python to iterate through all available windows on my machine, then filtering for Safari windows with expected strings such as "textarea" in the window name. It used that to find their window number—an integer like 153551—which it could then use with the screencapture CLI tool to grab a PNG.
OK fine, that’s a neat way of taking screenshots. But what was it taking screenshots of?
Turns out it had been writing its own scratch HTML pages to try and recreate the bug, then opening Safari and grabbing screenshots.
Here’s that [/tmp/textarea-scrollbar-test.html](https://static.simonwillison.net/static/2026/textarea-scrollbar-test.html) page it created, and the screenshot it took with screencapture -x -o -l 153551 /tmp/safari-cases.png:
(I have way too many open tabs!)
(I have way too many open tabs!)
OK, so I can see how it’s opening test pages and taking screenshots, but how on earth was it triggering the modal dialog that was meant to be under test? That’s only available via a click or a keyboard shortcut, and I couldn’t see a mechanism for it to run those in Safari.
I eventually figured out what it had done.
Claude was running in a folder that contained the source code for the application. It knows enough about [Datasette](https://datasette.io/) to be able to run a local development server. It turns out it was editing Datasette’s own templates to add JavaScript that would trigger the correct keyboard shortcut as soon as the window opened, adding code like this:
1.2 seconds after the window opens, this code triggers a simulated / key, which is the keyboard shortcut for opening the modal dialog.
There was one challenge left. In order to understand what was going on, Claude needed to run JavaScript on the page to take measurements for itself.
It wrote its own custom web application to capture information via CORS, then ran that as a local server and opened a page with JavaScript that would POST directly to it!
Here’s the Python web app it wrote, using the standard library [http.server](https://docs.python.org/3/library/http.server.html) package:
from http.server import HTTPServer, BaseHTTPRequestHandler class H(BaseHTTPRequestHandler): def do_POST(self): n = int(self.headers.get("Content-Length", 0)) open("/tmp/diag.json", "w").write(self.rfile.read(n).decode()) self.send_response(200) self.send_header("Access-Control-Allow-Origin", "*") self.end_headers() def do_OPTIONS(self): self.send_response(200) self.send_header("Access-Control-Allow-Origin", "*") self.send_header("Access-Control-Allow-Headers", "*") self.end_headers() def log_message(self, *a): # quiet pass HTTPServer(("127.0.0.1", 9999), H).serve_forever()
All this does is accept a POST request full of JSON and write that to the /tmp/diag.json file. It sends Access-Control-Allow-Origin: * headers (including from OPTIONS requests) so that code running on another domain can still communicate back to it.
Then Claude injected this code into the template that it was loading in a browser:
const host = document.querySelector("navigation-search");
const ta = host.shadowRoot.querySelector("textarea");
const cs = getComputedStyle(ta);
fetch("http://127.0.0.1:9999/diag", {
method: "POST",
body: JSON.stringify({
dpr: window.devicePixelRatio,
scrollWidth: ta.scrollWidth, clientWidth: ta.clientWidth,
whiteSpace: cs.whiteSpace, width: cs.width,
}),
});This took measurements of the