Atlas gets the current shape of a third-party API into context before you write the Dart integration, instead of letting the model guess the request signature from memory. The websearch tool finds the documentation page and injects the current year into its description so the model biases toward fresh sources, webfetch pulls the page with format markdown or text so the Accept header steers the server toward a compact representation, and both sit behind explicit permission prompts. Only then does Atlas write the client into lib/, formatted with dart format and verified with dart test.
How does Atlas research a third-party API before writing Dart code?
Atlas leaves the repo when the answer is not in the repo. For a Dart integration, Atlas calls websearch to find the current documentation page, and the websearch tool injects the current year, 2026, into its description so the model biases toward fresh sources rather than a signature it memorized years ago.
The failure mode this avoids is familiar to every Dart developer who has watched an assistant produce a client for a version of an API that no longer exists: an http.post call with the wrong body shape, a JSON key that was renamed, a required header that is now a bearer token. Atlas fixes that by fetching the actual docs. websearch locates the page when you do not have the URL. Because the tool description carries the current year, the search leans toward 2026 documentation rather than stale mirrors. The result is a URL, not an answer, which is the point: the answer comes from the page itself in the next step.
What does the Atlas webfetch tool do for a Dart integration?
Atlas fetches the API documentation page with webfetch, which negotiates 3 formats, markdown, text, or html, so passing markdown steers the Accept header toward a compact representation. For a Dart developer that means the real endpoint paths and JSON field names land in context before lib/src/api_client.dart is written.
webfetch supports format negotiation for markdown, text, or html. Choosing markdown or text keeps the payload small, which matters because a rendered docs page is mostly navigation chrome. What Atlas needs from the page is narrow and specific: the endpoint, the required headers, the request body schema, the response shape, and the error codes. With those in context, Atlas can write a null-safe Dart client whose model classes match the real response, whose fromJson factories use the actual key names, and whose nullable fields correspond to the fields the docs mark optional. Guessing at nullability is exactly where a Dart integration breaks at runtime, and reading the docs is what prevents it.
How does Atlas keep webfetch from sending data to arbitrary hosts?
Every Atlas webfetch call sits behind an explicit permission prompt, and the tool asks with the URL as the pattern before any request goes out. Atlas checks each tool call against 3 kinds of rule, allow, ask, and deny, so the model cannot quietly send a Dart codebase to an unapproved host.
Network access is the one capability where an agent's convenience and your security are most obviously in tension. Atlas resolves it by making the URL the thing you approve. When Atlas wants to read the docs for a payments API before writing lib/src/payments_client.dart, you see that exact URL in the prompt and approve or deny it. The same permission model gates websearch. For teams with stricter needs, Atlas can build its code index with local Ollama embeddings, keeping code off third-party servers, so the retrieval side of the workflow never leaves the machine even while the research side is reaching out to a docs host you explicitly allowed.
How do I write the Dart client after Atlas fetches the API docs?
Atlas reads the fetched content, then writes the Dart integration with the write or edit tool against the real signatures. The client lands in lib/src, and 3 commands finish the job: pub adds the dependency declared in pubspec.yaml, dart format formats the file, and dart test proves the behavior.
Run atlas in a package with a pubspec.yaml. Atlas reads your libraries, pub dependencies, and analysis options, so the client it writes obeys the lints your analysis_options.yaml already enforces rather than fighting them. The concrete output is usually a small set of files: a client class in lib/src/api_client.dart, model classes with fromJson and toJson, and a matching test under test/ exercised by dart test. Because Atlas computes a unified diff for every file edit and surfaces it for approval before writing, the new client is reviewed before it exists on disk. Null safety is the part worth reading closely in that diff: a field the docs mark optional must be nullable in the Dart model.
Why should Atlas grep the Dart repo before finalizing an integration?
Atlas greps the Dart repo to verify against its own conventions before committing to a pattern the codebase does not use. A project that already wraps every HTTP call in a Result type, or centralizes headers in 1 file such as lib/src/http.dart, should not receive a new client that ignores both.
The docs tell Atlas what the third-party API expects. The repo tells Atlas how this Dart project talks to APIs. Those are different questions, and skipping the second one produces a technically correct client that no reviewer will accept. Atlas greps for the existing client patterns, the existing error handling, and the existing test style under test/. Atlas also searches code with hybrid semantic and keyword retrieval fused by reciprocal rank fusion and indexes code by AST declarations using tree-sitter, not blind line windows, so a search for the project's HTTP conventions returns the class that owns them. The integration then matches the codebase, runs green under dart test, and formats clean under dart format.
Step by step
- 01Run atlas in a Dart package with a pubspec.yaml so Atlas can read your libraries, pub dependencies, and analysis options.
- 02Call websearch to find the current documentation page for the third-party API; 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.
- 05Grep the Dart repo for existing HTTP client conventions under lib/src so the new integration matches the codebase rather than the docs alone.
- 06Have Atlas write the client and its null-safe model classes with write or edit against the real signatures from the fetched docs.
- 07Add the dependency through pub in pubspec.yaml and run dart format on the new files under lib/src.
- 08Verify the integration with dart test, then review the unified diff Atlas surfaces before committing.
Frequently asked questions
- how to get an AI agent to read API docs before writing Dart code
- Have Atlas call websearch to find the documentation page, then webfetch to pull it with format markdown or text. Atlas reads the fetched content and writes the Dart client with write or edit against the real signatures, rather than guessing the request shape from memory.
- does Atlas ask before fetching a URL
- Yes. The webfetch tool asks with the URL as the pattern before any request goes out, and every Atlas tool call is permission-gated against allow, ask, and deny rules before it runs. You approve the exact host and URL Atlas is about to read.
- why does my AI agent write Dart code against an outdated API version
- Because it is answering from memory. Atlas avoids that by calling websearch, whose tool description carries the current year so the model biases toward fresh sources, then fetching the actual page with webfetch so the endpoint paths, headers, and JSON keys in context are the real ones.
- what format should webfetch use for documentation pages
- Pass format markdown or text. The webfetch tool negotiates format, setting the Accept header so the server steers toward a compact representation instead of a full HTML page. That keeps the docs content in context rather than the page's navigation chrome.
- how does Atlas make sure a new Dart API client matches my project style
- Atlas greps the repo for its existing conventions before committing to a pattern, so a project that already centralizes headers in lib/src/http.dart gets a client that reuses it. Atlas also reads your analysis options, so the generated code obeys the lints already configured.
- does Atlas send my Dart source code to third-party servers
- Only what you approve. webfetch and websearch each sit behind explicit permission prompts, and Atlas can build its code index with local Ollama embeddings, keeping code off third-party servers entirely while still supporting semantic search over your lib/ and test/ directories.
- how to test a third-party API integration in Dart
- Write the client into lib/src, add the dependency through pub in pubspec.yaml, and run dart test. Atlas computes a unified diff for every file edit and surfaces it for approval first, so both the client and its test file are reviewed before they land on disk.
- atlas Dart setup requirements
- Run atlas in a package with a pubspec.yaml. Atlas reads your libraries, pub dependencies, and analysis options, and can migrate code to null safety or add tests, with the diff reviewed before it is written. Formatting runs through dart format and tests through dart test.
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