Is call-center-ai still maintained?

No, archived. The owners archived it: no more fixes or updates.

Can I trust call-center-ai?

Widely used. 6.7k stars, 2 years old, by an organization. As with any download, get it from the official repo.

gitmanual

Reading the repo

Opening the box…

How to install call-center-ai on Linux (microsoft/call-center-ai) · gitmanual

How to install on Linux

microsoft/call-center-ai

Send a phone call from AI agent, in an API call. Or, directly call the bot from the configured phone number!

Python

Difficulty: Moderate
Time: about 15 min
Stars: ★ 6,700
Activity: Updated 4 months ago

Before you start

Is it free?: YesOpen source (Apache-2.0).
Still maintained?: No, archivedThe owners archived it: no more fixes or updates.
Can I trust it?: Widely used6.7k stars, 2 years old, by an organization. As with any download, get it from the official repo.

Fresh setup, read just now

Will it work on Linux?

Yes, it runs on Linux

The repo is archived: it still works as-is, but nobody is fixing bugs anymore.
You'll build it yourself with Python.
It also needs Redis running (Docker handles this).

Your system

macOS Windows Linux

Start here

In the browser ↗Open in GitHub CodespacesNothing to install.

Heads-upIt also needs Redis and 5 settings in .env.

6 steps on Linux

Download setup.sh

Then run bash setup.sh. It stops at the first error and is safe to run again. Servers and tests aren't started; it lists them at the end. Read it first.

Clone the repository

The repo uses git submodules, so the clone fetches them too.

git clone --recurse-submodules https://github.com/microsoft/call-center-ai.git
cd call-center-ai

Install the required runtimes

Python >=3.13

curl -LsSf https://astral.sh/uv/install.sh | sh

3
Configure environment variables
Optional, add them when you need them: AZURE_CLIENT_SECRET
```
cp .env.example .env
```
Start backing services
Needs: Redis (no compose file — install locally or run via Docker)
5
Install dependencies
```
uv sync
```
6
Run the tests
```
uv run pytest
```

Did you get it running?

No reports for Linux yet.

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Parts list

1×Python >=3.13runtime
1×uv package manager
1×Redis service

5× settings in .env

AZURE_CLIENT_IDoptional
AZURE_CLIENT_SECRETsecretoptional
AZURE_TENANT_IDoptional
APPLICATIONINSIGHTS_CONNECTION_STRINGoptional
OTEL_TRACES_SAMPLER_ARGoptional

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Is this your repo?

Add a badge to your README so newcomers find these steps.

[![Setup manual](https://gitmanual.com/microsoft/call-center-ai/badge.svg)](https://gitmanual.com/microsoft/call-center-ai)

Good to know

Dev Container config found — you can open it in VS Code Dev Containers or GitHub Codespaces for a zero-setup environment.
Makefile has a make install target — it may automate most of these steps.

Details

License: Apache-2.0
Open issues: 40
Branch: main

Files we read (8)

.devcontainer/devcontainer.json

.env.example

.github/workflows/codeql.yml

.github/workflows/pipeline.yaml

.gitmodules

Makefile

README.md

pyproject.toml

102 files in the repo

Opening the box…

Yes, it runs on Linux

Start here

6 steps on Linux

Clone the repository

Install the required runtimes

Configure environment variables

Start backing services

Install dependencies

Run the tests

Did you get it running?

Still stuck? Ask an AI