To research a third-party API before integrating it in Swift, do not let the model guess the signatures from memory. Atlas calls websearch to find the current documentation page, and the tool injects the current year into its description so the model biases toward fresh sources rather than a 2023 blog post. Atlas then fetches the page with webfetch, passing format markdown or text so the Accept header steers the server toward a compact representation. Both tools sit behind explicit permissions, and webfetch asks with the URL as the pattern before any request goes out, so the model cannot quietly exfiltrate context to arbitrary hosts. Once the real request shape and response shape are in context, Atlas writes the Codable models and the async/await client into your Sources/ tree with write or edit, then you verify with XCTest via swift test. Swift Package Manager resolves the dependency in Package.swift, and swift-format normalizes the result.
How does Atlas get current API docs into context for a Swift integration?
Atlas calls websearch to find the current documentation page, and the tool injects the current year into its description so the model biases toward fresh sources. In 2026 that matters for Swift specifically, because an API guide written for completion handlers is actively misleading when you are writing async/await against Swift Concurrency.
Swift integrations fail on stale knowledge in a very particular way. A model that learned an SDK in its callback era will hand you a client with a completion: @escaping (Result<T, Error>) -> Void signature, and you will wrap it in withCheckedThrowingContinuation forever because you never checked whether the vendor shipped an async overload. Atlas avoids that by leaving the repo when the answer is not in the repo. websearch finds the page when you do not have the URL, and the current-year injection pushes the search toward the version of the docs that describes today's API surface. What lands in context is the vendor's current request and response shape, which is what your Codable structs in Sources/MyPackage/Models/ actually have to match.
What does webfetch do with a documentation page?
Atlas fetches the page with webfetch, passing format markdown or text so the Accept header steers the server toward a compact representation. For a Swift developer reading a REST reference, that turns a 400 KB HTML page of navigation chrome into the endpoint table, the JSON payload, and the auth header, which is all the Codable model needs.
webfetch's format negotiation for markdown, text, or html is a context-budget decision. The raw HTML of a modern API reference is mostly sidebar. The markdown form is mostly content: the endpoint path, the query parameters, the response JSON, and the error codes. From that compact form, Atlas can derive the exact struct Response: Codable you need, the CodingKeys enum for any snake_case field that must map to a Swift camelCase property, and the URLRequest header the vendor requires. Every Atlas tool call is permission-gated against allow, ask, and deny rules before it runs, and webfetch is no exception: approve the webfetch permission prompt, which asks with the URL as the pattern before any request goes out.
Can an AI agent fetch a URL without leaking my Swift code?
Yes. In 2026 Atlas's webfetch and websearch both sit behind explicit permissions, so the model cannot quietly send context to arbitrary hosts. The webfetch permission prompt asks with the URL as the pattern before any request goes out, which means you approve the specific host, not a blanket right to reach the internet from inside your Swift package.
Reaching the network is the tool call developers are rightly most careful about, and Atlas treats it that way. Every Atlas tool call is permission-gated against allow, ask, and deny rules before it runs, and for webfetch the pattern being matched is the URL itself, so you can allow the vendor's docs host and deny everything else. For teams where even the code index is sensitive, Atlas can build its code index with local Ollama embeddings, keeping code off third-party servers, so the Sources/ tree of a proprietary Swift package is never embedded remotely while you research a public API. Research goes out. Your code does not.
How do you write the Swift client once the API shape is known?
Once the API shape is in context, Atlas writes the integration with write or edit against the real signatures. In a 2026 Swift package that means a Codable model file under Sources/MyPackage/Models/, an actor or struct client using async throws, and a matching XCTestCase under Tests/MyPackageTests/ that exercises the decoder.
The point of the research step is that the Swift code is written against real signatures rather than plausible ones. The response JSON from webfetch becomes a concrete struct with CodingKeys. The auth header from the docs becomes a real URLRequest.setValue call. The error codes become a real Swift error enum. Atlas computes a unified diff for every file edit and surfaces it for approval before writing, so you see the exact Codable definitions before they land in Sources/. Then verify with the repo's own conventions in mind: grep the existing Sources/ tree before committing to a pattern that does not match the codebase, because a package that already uses a shared APIClient actor does not need a second HTTP layer.
How do you verify a new Swift API integration works?
Verify a new Swift API integration in 2026 with XCTest via swift test, run through Atlas's bash access. Add an XCTestCase under Tests/ that decodes a captured sample of the real response payload webfetch retrieved, so the Codable mapping is proven against the vendor's actual JSON rather than against a payload the model imagined.
The decoder test is the highest-value test in an API integration, and the research step makes it possible: because webfetch pulled the vendor's real example response, you can paste that exact JSON into a fixture and assert that JSONDecoder().decode(Response.self, from: data) succeeds. Run XCTest via swift test to prove it. Swift Package Manager resolves whatever dependency you added to Package.swift, and swift-format normalizes the new files so the diff is clean. Atlas reads git branches, status, and diffs, and can stage and create commits on your behalf, so the finished integration lands as one reviewable commit with the fixture, the model, the client, and the test together.
Step by step
- 01Run atlas in a package with a Package.swift so Atlas can read your targets, protocols, and dependencies.
- 02Call websearch to find the current documentation page; the tool injects the current year into its description so the model biases toward fresh sources.
- 03Fetch the page with webfetch, passing format markdown or text so the Accept header steers the server toward a compact representation.
- 04Approve the webfetch permission prompt; the tool asks with the URL as the pattern before any request goes out.
- 05Read the fetched content and derive the concrete Codable structs, CodingKeys, and error enum from the vendor's real request and response shape.
- 06Verify against the repo's own conventions with grep before committing to a pattern that does not match the codebase, for example an existing APIClient actor under Sources/.
- 07Write the integration with write or edit against the real signatures, adding the async throws client and the Codable models under Sources/.
- 08Add an XCTestCase under Tests/ that decodes the sample payload webfetch retrieved, run XCTest via swift test, then run swift-format and let Swift Package Manager resolve any new dependency in Package.swift.
Frequently asked questions
- how to stop an AI agent from hallucinating a third party API in Swift
- Make it fetch the docs. Atlas calls websearch to find the current documentation page and webfetch to pull it, then writes the Codable structs against the real response shape rather than from memory. The websearch tool injects the current year so it biases toward fresh sources.
- can Atlas read API documentation from a URL
- Yes. Atlas's webfetch tool pulls a documentation page with format negotiation for markdown, text, or html, so a Swift developer gets the endpoint table and the JSON payload rather than 400 KB of navigation chrome.
- does Atlas ask before making network requests
- Yes. Every Atlas tool call is permission-gated against allow, ask, and deny rules before it runs. The webfetch tool asks with the URL as the pattern before any request goes out, so you approve the specific host rather than granting blanket network access.
- how do I test a Swift API client against the real response payload
- Paste the vendor's example JSON, which webfetch retrieved, into a fixture under Tests/, then assert JSONDecoder().decode succeeds. Run XCTest via swift test through Atlas's bash tool. The decoder test is the highest-value test in any Swift API integration.
- what does Atlas need to work on a Swift package
- Run atlas in a package with a Package.swift. Atlas reads your targets, protocols, and dependencies, and can add XCTest cases or adopt async/await, showing you the diff before anything is written to Sources/.
- how do I keep my proprietary Swift code off third-party servers
- Atlas can build its code index with local Ollama embeddings, keeping code off third-party servers. Research goes out through webfetch to the vendor's docs; your Sources/ tree stays local.
- how do I make a new Swift API client match my existing package conventions
- Grep the existing Sources/ tree before committing to a pattern that does not match the codebase. If the package already has a shared APIClient actor, the new integration should use it rather than introduce a second HTTP layer.
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