Depends on https://github.com/coder/aibridge/pull/203 Closes https://github.com/coder/internal/issues/1337 --------- Signed-off-by: Danny Kopping <danny@coder.com>
6.1 KiB
Setup
AI Bridge runs inside the Coder control plane (coderd), requiring no separate compute to deploy or scale. Once enabled, coderd runs the aibridged in-memory and brokers traffic to your configured AI providers on behalf of authenticated users.
Required:
- A Premium license with the AI Governance Add-On.
- Feature must be enabled using the server flag
- One or more providers API key(s) must be configured
Activation
You will need to enable AI Bridge explicitly:
export CODER_AIBRIDGE_ENABLED=true
coder server
# or
coder server --aibridge-enabled=true
Configure Providers
AI Bridge proxies requests to upstream LLM APIs. Configure at least one provider before exposing AI Bridge to end users.
OpenAI
Set the following when routing OpenAI-compatible traffic through AI Bridge:
CODER_AIBRIDGE_OPENAI_KEYor--aibridge-openai-keyCODER_AIBRIDGE_OPENAI_BASE_URLor--aibridge-openai-base-url
The default base URL (https://api.openai.com/v1/) works for the native OpenAI service. Point the base URL at your preferred OpenAI-compatible endpoint (for example, a hosted proxy or LiteLLM deployment) when needed.
If you'd like to create an OpenAI key with minimal privileges, this is the minimum required set:
Anthropic
Set the following when routing Anthropic-compatible traffic through AI Bridge:
CODER_AIBRIDGE_ANTHROPIC_KEYor--aibridge-anthropic-keyCODER_AIBRIDGE_ANTHROPIC_BASE_URLor--aibridge-anthropic-base-url
The default base URL (https://api.anthropic.com/) targets Anthropic's public API. Override it for Anthropic-compatible brokers.
Anthropic does not allow API keys to have restricted permissions at the time of writing (Nov 2025).
Amazon Bedrock
Set the following when routing Amazon Bedrock traffic through AI Bridge:
CODER_AIBRIDGE_BEDROCK_REGIONor--aibridge-bedrock-regionCODER_AIBRIDGE_BEDROCK_ACCESS_KEYor--aibridge-bedrock-access-keyCODER_AIBRIDGE_BEDROCK_ACCESS_KEY_SECRETor--aibridge-bedrock-access-key-secretCODER_AIBRIDGE_BEDROCK_MODELor--aibridge-bedrock-modelCODER_AIBRIDGE_BEDROCK_SMALL_FAST_MODELor--aibridge-bedrock-small-fast-model
Note
CODER_AIBRIDGE_BEDROCK_BASE_URLor--aibridge-bedrock-base-urlmay be used instead ofCODER_AIBRIDGE_BEDROCK_REGION/--aibridge-bedrock-regionif you would like to specify a URL which does not follow the form ofhttps://bedrock-runtime.<region>.amazonaws.com- for example if using a proxy between AI Bridge and AWS Bedrock.
Obtaining Bedrock credentials
-
Choose a region where you want to use Bedrock.
-
Generate API keys in the AWS Bedrock console (replace
us-east-1in the URL with your chosen region):- Choose an expiry period for the key.
- Click Generate.
- This creates an IAM user with strictly-scoped permissions for Bedrock access.
-
Create an access key for the IAM user:
- After generating the API key, click "You can directly modify permissions for the IAM user associated".
- In the IAM user page, navigate to the Security credentials tab.
- Under Access keys, click Create access key.
- Select "Application running outside AWS" as the use case.
- Click Next.
- Add a description like "Coder AI Bridge token".
- Click Create access key.
- Save both the access key ID and secret access key securely.
-
Configure your Coder deployment with the credentials:
export CODER_AIBRIDGE_BEDROCK_REGION=us-east-1 export CODER_AIBRIDGE_BEDROCK_ACCESS_KEY=<your-access-key-id> export CODER_AIBRIDGE_BEDROCK_ACCESS_KEY_SECRET=<your-secret-access-key> coder server
Additional providers and Model Proxies
AI Bridge can relay traffic to other OpenAI- or Anthropic-compatible services or model proxies like LiteLLM by pointing the base URL variables above at the provider you operate. Share feedback or follow along in the aibridge issue tracker as we expand support for additional providers.
Note
See the Supported APIs section below for precise endpoint coverage and interception behavior.
Data Retention
AI Bridge records prompts, token usage, tool invocations, and model reasoning for auditing and monitoring purposes. By default, this data is retained for 60 days.
Configure retention using --aibridge-retention or CODER_AIBRIDGE_RETENTION:
coder server --aibridge-retention=90d
Or in YAML:
aibridge:
retention: 90d
Set to 0 to retain data indefinitely.
For duration formats, how retention works, and best practices, see the Data Retention documentation.
Structured Logging
AI Bridge can emit structured logs for every interception record, making it straightforward to export data to external SIEM or observability platforms.
Enable with --aibridge-structured-logging or CODER_AIBRIDGE_STRUCTURED_LOGGING:
coder server --aibridge-structured-logging=true
Or in YAML:
aibridge:
structured_logging: true
These logs are written to the same output stream as all other coderd logs,
using the format configured by
--log-human (default, writes to
stderr) or --log-json. For machine
ingestion, set --log-json to a file path or /dev/stderr so that records are
emitted as JSON.
Filter for AI Bridge records in your logging pipeline by matching on the
"interception log" message.
