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chore: update docs (#20521)
Updates AI Bridge docs to remove experiment details.
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@@ -1,8 +1,5 @@
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# AI Bridge
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> [!NOTE]
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> AI Bridge is currently an _experimental_ feature.
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Bridge is a smart proxy for AI. It acts as a man-in-the-middle between your users' coding agents / IDEs
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@@ -45,17 +42,14 @@ Bridge runs inside the Coder control plane, requiring no separate compute to dep
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### Activation
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To enable this feature, activate the `aibridge` experiment using an environment variable or a CLI flag.
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Additionally, you will need to enable Bridge explicitly:
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You will need to enable AI Bridge explicitly:
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```sh
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CODER_EXPERIMENTS="aibridge" CODER_AIBRIDGE_ENABLED=true coder server
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CODER_AIBRIDGE_ENABLED=true coder server
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# or
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coder server --experiments=aibridge --aibridge-enabled=true
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coder server --aibridge-enabled=true
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```
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_If you have other experiments enabled, separate them by commas._
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### Providers
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Bridge currently supports OpenAI and Anthropic APIs.
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@@ -89,8 +83,8 @@ Once AI Bridge is enabled on the server, your users need to configure their AI c
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The exact configuration method varies by client — some use environment variables, others use configuration files or UI settings:
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- **OpenAI-compatible clients**: Set the base URL (commonly via the `OPENAI_BASE_URL` environment variable) to `https://coder.example.com/api/experimental/aibridge/openai/v1`
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- **Anthropic-compatible clients**: Set the base URL (commonly via the `ANTHROPIC_BASE_URL` environment variable) to `https://coder.example.com/api/experimental/aibridge/anthropic`
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- **OpenAI-compatible clients**: Set the base URL (commonly via the `OPENAI_BASE_URL` environment variable) to `https://coder.example.com/api/v2/aibridge/openai/v1`
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- **Anthropic-compatible clients**: Set the base URL (commonly via the `ANTHROPIC_BASE_URL` environment variable) to `https://coder.example.com/api/v2/aibridge/anthropic`
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Replace `coder.example.com` with your actual Coder deployment URL.
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@@ -133,7 +127,7 @@ All of these records are associated to an "interception" record, which maps 1:1
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These logs can be used to determine usage patterns, track costs, and evaluate tooling adoption.
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This data is currently accessible through the API and CLI (experimental), which we advise administrators export to their observability platform of choice. We've configured a Grafana dashboard to display Claude Code usage internally which can be imported as a starting point for your tooling adoption metrics.
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This data is currently accessible through the API and CLI, which we advise administrators export to their observability platform of choice. We've configured a Grafana dashboard to display Claude Code usage internally which can be imported as a starting point for your tooling adoption metrics.
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