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Michael Suchacz
9168dbf4d3
Centralizes every LLM client build in chatd behind one resolver and makes all model calls behave the same, instead of preserving per-flow quirks. ## Why `chatd` built LLM clients in five places (standard turn, compaction override, quickgen, title override, advisor), each repeating config parsing, route resolution, client construction, and debug wrapping with slightly different behavior. An earlier iteration of this PR centralized construction but preserved every historical quirk behind purpose-specific spec constructors and policy flags. Review concluded the quirks themselves were the problem. ## What changed - `Server.resolveModelCall` (`modelcall.go`) is the single pipeline from a `modelCallSpec` to a ready client plus call metadata. Callers build spec literals inline; the only spec fields are data: model source (chat config, explicit config row, or fixed provider/model pair for computer use), requested reasoning effort, chatd-scoped routing, and build options. - Uniform behavior for every call: - Provider options are always derived. Whole-chat summaries, turn status labels, and chat-model compaction summaries previously sent none; they now follow the config like everything else. - `MaxOutputTokens` always defaults to 32k when the config leaves it unset. The compaction summary call nulls the cap after copying the template because it is non-streaming and the Anthropic SDK rejects non-streaming requests whose cap implies a completion over ten minutes. - Debug recording always wraps the client when chat debug is enabled, labeled with the resolved provider/model. The debug-rebuild paths (`manualTitleDebugSpec`, `quickgenDebugSpec`) are deleted; debug helpers now only create and finalize run records, since run association flows through the generate context, not the model. - Clients are always constructed with the configured model string and unmutated route, so AI Gateway validation sees the name exactly as configured. The resolved identity feeds metadata, logs, and debug labels only. - `resolvedModelCall.newCall` / `newObjectCall` are the only production constructors of `fantasy.Call` / `fantasy.ObjectCall`; object calls now carry the config's sampling parameters. - Net: -240 lines. ## Validation - Full `./coderd/x/chatd/...` suite green (PostgreSQL-backed). - Red-green toggles verified for the three key unifications (option derivation, token default, summary cap removal). - ARCHITECTURE.md: prose the refactor made stale is deleted; no new resolver documentation is added. > Mux acted on Mike's behalf for this PR.
Coder is a self-hosted platform for cloud development environments and AI coding agents. Workspaces are defined with Terraform, connected through a secure Wireguard® tunnel, and automatically shut down when not used. Coder Agents runs a native AI coding agent whose loop executes in the control plane on your infrastructure, with no API keys in workspaces.
- Define cloud development environments in Terraform
- EC2 VMs, Kubernetes Pods, Docker Containers, etc.
- Automatically shutdown idle resources to save on costs
- Onboard developers in seconds instead of days
- Delegate coding work to AI agents on your infrastructure
- Bring any model (Anthropic, OpenAI, Google, Bedrock, self-hosted)
- No LLM credentials in workspaces, user identity on every action
- Centralized model governance, cost tracking, and audit logging
Quickstart
Check out our install guides for other methods and a complete tutorial.
Try Coder with the install script on Linux and macOS, or grab the latest binary or installer from GitHub Releases on Windows:
curl -L https://coder.com/install.sh | sh
Start the server and open http://localhost:3000 to create your initial user, create a Docker template, and provision your first workspace:
coder server
For a production deployment, add a PostgreSQL database (version 13 or later) and an external access URL, and see our validated architectures for sizing and infrastructure guidance:
coder server --postgres-url <url> --access-url <url>
Without these flags, Coder uses a built-in database and sets up a *.try.coder.app access URL for evaluation. Use coder --help for the full list of flags and environment variables.
Documentation
Browse the documentation or visit a specific section below:
- Workspaces: Workspaces contain the IDEs, dependencies, and configuration information needed for software development
- Templates: Templates are written in Terraform and describe the infrastructure for workspaces
- Coder Agents: Delegate coding work to AI agents running on your self-hosted infrastructure
- AI Gateway: Centralize authentication, auditing, and cost controls for AI tooling
- Administration: Learn how to operate Coder
- Premium: Learn about paid features built for large teams
- IDEs: Connect your existing editor to a workspace
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Open an issue for bugs and feature requests.
For community support, showcasing what you built, and feedback on in-progress features, join our Discord or GitHub Discussions.
Dedicated support is included in Coder Premium. For more information, visit coder.com/pricing.
Integrations
New integrations are always in progress. Open an issue to request one. Contributions are welcome in any official or community repository.
Official
- Coder Registry: Templates, modules, and integrations for common development environments
- Coding Agents: Run agents like Claude Code, Codex, and OpenCode isolated in Coder workspaces
- coderd Terraform Provider: Declaratively manage your Coder deployment configuration as code
- VS Code Extension: Open any Coder workspace in VS Code with a single click
- JetBrains Toolbox Plugin: Open any Coder workspace from JetBrains Toolbox with a single click
- Dev Containers: Build development environments using
devcontainer.jsonon Docker, Kubernetes, and OpenShift - Kubernetes Log Stream: Stream Kubernetes Pod events to the Coder startup logs
- Self-Hosted VS Code Extension Marketplace: A private extension marketplace that works in restricted or airgapped networks integrating with code-server.
- GitHub Actions: An action to set up the Coder CLI in GitHub workflows
Community
- Coder Discord: Chat with the community, get support, and hear about new product updates first
- Community Templates: Community-contributed workspace templates in the Coder Registry
- Community Modules: Community-contributed modules to extend Coder templates
- Coder Template GitHub Action: A GitHub Action that updates Coder templates
- Coder Agents Chat Action: A GitHub Action that starts a Coder Agents chat against a GitHub issue or pull request
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New contributors are always welcome. If you are new to the Coder codebase, see the contribution guide to get started.
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