Rename to Sophia (#26)

.dockerignore

@@ -2,5 +2,5 @@ node_modules
 dist
 bin
 .venv
-.nous/
+.sophia/
 

.gitignore

@@ -15,7 +15,7 @@ temp/
 .ignore
 .cache
 .venv/
-.nous/
+.sophia/
 src/cli/*-in
 src/cli/*-out
 tg/

Dockerfile

@@ -11,10 +11,10 @@ RUN curl -sL https://deb.nodesource.com/setup_20.x -o nodesource_setup.sh
 RUN chmod +x ./nodesource_setup.sh && ./nodesource_setup.sh
 RUN apt install -y nodejs
 
-ENV user=nous
-ENV homedir=/home/nous/
+ENV user=sophia
+ENV homedir=/home/sophia/
 
-RUN useradd --create-home -g users nous
+RUN useradd --create-home -g users sophia
 WORKDIR $homedir
 
 RUN mkdir ".husky"
@@ -27,12 +27,11 @@ COPY . .
 
 USER $user
 
-RUN mkdir .nous
+RUN mkdir .sophia
 # Generate the function schemas
 RUN npm run functionSchemas
 
 ENV NODE_ENV=production
 ENV PORT=8080
 EXPOSE 8080
 CMD [ "npm", "run", "start" ]
-

Dockerfile.dev

@@ -13,9 +13,9 @@ RUN npm install -g pm2
 
 RUN pip install aider-chat
 
-ENV user=nous
-ENV homedir=/home/nous/
-RUN useradd --create-home -g users nous
+ENV user=sophia
+ENV homedir=/home/sophia/
+RUN useradd --create-home -g users sophia
 WORKDIR $homedir
 
 RUN mkdir ".husky"

README.md

@@ -1,24 +1,24 @@
 <a id="banner"></a>
 <p align="center">
-  <img src="https://public.trafficguard.ai/nous/banner.png" alt="nous logo"/>
+  <img src="https://public.trafficguard.ai/sophia/banner.png" alt="nous logo"/>
 </p>
 <p align="center">
   <em>The open-source TypeScript platform for autonomous AI agents and LLM based workflows </em>
 </p>
-<em><b>Nous</b></em> (Greek: νοῦς) is a term from classical philosophy often associated with intellect or intelligence, represents the human mind's capacity to comprehend truth and reality.
+The Ancient Greek word <em><b>sophía (σοφία)</b></em> is the abstract noun of σοφός (sophós), which variously translates to "clever, skillful, intelligent, wise"
 
 ## Documentation site
-[Home](https://nous.trafficguard.ai/) |  [Setup](https://nous.trafficguard.ai/setup/) | [Observability](https://nous.trafficguard.ai/observability/) | [Function calling](https://nous.trafficguard.ai/functions/) | 
-[Autonomous AI Agent](https://nous.trafficguard.ai/xml-agent/) | [AI Software Engineer](https://nous.trafficguard.ai/software-engineer/) | [AI Code reviews](https://nous.trafficguard.ai/code-review/) |
-[Tools/Integrations](https://nous.trafficguard.ai/integrations/) | [Roadmap](https://nous.trafficguard.ai/roadmap/)
+[Home](https://sophia.dev/) |  [Setup](https://sophia.dev/setup/) | [Observability](https://sophia.dev/observability/) | [Function calling](https://sophia.dev/functions/) | 
+[Autonomous AI Agent](https://sophia.dev/xml-agent/) | [AI Software Engineer](https://sophia.dev/software-engineer/) | [AI Code reviews](https://sophia.dev/code-review/) |
+[Tools/Integrations](https://sophia.dev/integrations/) | [Roadmap](https://sophia.dev/roadmap/)
 
 ---
 
-[The Nous Story](#the-nous-story) | [Features](#features) | [UI Examples](#ui-examples) | [Code examples](#code-examples) | [Contributing](#contributing)
+[The Sophia Story](#the-sophia-story) | [Features](#features) | [UI Examples](#ui-examples) | [Code examples](#code-examples) | [Contributing](#contributing)
 
-## The Nous Story
+## The Sophia Story
 
-Nous started from a simple goal: to harness AI's potential to enhance real-world productivity, born in DevOps and Platform Engineering space. We envisioned a tool that could:
+Sophia started from a simple goal: to harness AI's potential to enhance real-world productivity, born in DevOps and Platform Engineering space. We envisioned a tool that could:
 
 - Automate various processes and support requests, and triage build failures.
 - Review code for compliance with standards and best practices.
@@ -30,7 +30,7 @@ Our SaaS on GCP comprises projects developed in TypeScript, Python, GoogleSQL, P
 With open source projects typically Python/GitHub focused, and the vendor AI tools being focused in their silos, 
 we saw a need for TypeScript based tooling which can work across our entire tech stack, and understand the overall architecture.
 
-Through its evolution we've designed nous as a flexible platform for the TypeScript community to expand and support the use cases and integrations of your choice.
+Through its evolution we've designed sophia as a flexible platform for the TypeScript community to expand and support the use cases and integrations of your choice.
 
 Our design choice of Firestore for the initial database implementation, with Cloud Run, provides a scale-to-zero solution with zero-cost using the free tier.
 With the intention to support uses cases such as your own custom personal assistant, always available via mobile.
@@ -82,7 +82,7 @@ Key features include:
 
 ### New Agent
 
-![New Agent UI](https://public.trafficguard.ai/nous/start.png)
+![New Agent UI](https://public.trafficguard.ai/sophia/start.png)
 
 ### Sample trace
 
@@ -106,11 +106,11 @@ Key features include:
 
 ## Code Examples
 
-### Nous vs LangChain
+### Sophia vs LangChain
 
-Nous doesn't use LangChain, for [many reasons](https://www.octomind.dev/blog/why-we-no-longer-use-langchain-for-building-our-ai-agents) that [you](https://www.google.com/search?q=langchain+site%3Anews.ycombinator.com) can [read online](https://www.google.com/search?q=langchain+sucks+site%3Areddit.com)
+Sophia doesn't use LangChain, for [many reasons](https://www.octomind.dev/blog/why-we-no-longer-use-langchain-for-building-our-ai-agents) that [you](https://www.google.com/search?q=langchain+site%3Anews.ycombinator.com) can [read online](https://www.google.com/search?q=langchain+sucks+site%3Areddit.com)
 
-Let's compare the LangChain document example for Multiple Chains to the equivalent Nous implementation.
+Let's compare the LangChain document example for Multiple Chains to the equivalent Sophia implementation.
 
 #### LangChain
 ```typescript
@@ -148,7 +148,7 @@ const result = await combinedChain.invoke({
 console.log(result);
 ```
 
-#### Nous
+#### Sophia
 ```typescript
 import { llms } from '#agent/context'
 import { anthropicLLMs } from '#llms/anthropic'
@@ -164,7 +164,7 @@ runAgentWorkflow({ llms: anthropicLLMs() }, async () => {
 });
 ```
 
-The Nous code also has the advantage of static typing with the prompt arguments, enabling you to refactor with ease.
+The Sophia code also has the advantage of static typing with the prompt arguments, enabling you to refactor with ease.
 Using simple control flow allows easy debugging with breakpoints/logging.
 
 To run a fully autonomous agent:
@@ -178,9 +178,6 @@ startAgent({
 });
 ```
 
-The Nous code also has the advantage of static typing with the prompt arguments, enabling you to refactor with ease.
-Using simple control flow allows easy debugging with breakpoints/logging.
-
 ### Automated LLM function schemas
 
 LLM function calling schemas are automatically generated by having the `@func` decorator on class methods.

docker-compose.yml

@@ -1,7 +1,7 @@
 # docker compose up --build
 services:
   node:
-    container_name: nous-dev
+    container_name: sophia-dev
     restart: always
     ports:
       - 4200:4200
@@ -10,11 +10,11 @@ services:
       context: ./
       dockerfile: Dockerfile.dev
     volumes:
-      - ~/.config/gcloud:/home/nous/.config/gcloud # Comment out if not using Google Cloud
-      - .:/home/nous
+      - ~/.config/gcloud:/home/sophia/.config/gcloud # Comment out if not using Google Cloud
+      - .:/home/sophia
       # Install node_modules into the container for cross-platform compatability
-      - /home/nous/node_modules
-      - /home/nous/frontend/node_modules
+      - /home/sophia/node_modules
+      - /home/sophia/frontend/node_modules
 #    environment:
 #      GIT_DISCOVERY_ACROSS_FILESYSTEM: 1
 #      - var=value

docs/CODE_REVIEW.md

@@ -1,6 +1,6 @@
 # Code Review
 
-Nous has the ability to review merge requests on GitLab with configured code review guidelines.
+Sophia has the ability to review merge requests on GitLab with configured code review guidelines.
 
 Some situations where you may want to use LLMs for reviewing code styles are:
 - When a linting rule isn't yet available.
@@ -75,5 +75,5 @@ Webhooks can be configured at the project or group level, so if you have multipl
 that you wanted to be reviewed, then you will need to configure a webhook for each one.
 
 Follow the [GitLab Webhook documentation](https://gitlab.synrgy.mobi/groups/devops/-/hooks) and for the
-webhook URL enter `https://<your-nous-domain>/gitlab/v1/webhook`
+webhook URL enter `https://<your-sophia-domain>/gitlab/v1/webhook`
 

docs/docs/about.md

@@ -0,0 +1,2 @@
+
+# Project 

docs/docs/agent-concepts.md

@@ -4,7 +4,7 @@
 
 ### 1. Autonomous agents
 
-Nous comes with two fully autonomous agents (XML and Python/dynamic), which applying reasoning to break down
+Sophia comes with two fully autonomous agents (XML and Python/dynamic), which applying reasoning to break down
 a user request into a plan to be completed by the available function calls.
 
 ### 2. Workflow agents

docs/docs/authentication.md

@@ -6,7 +6,7 @@ Currently, the valid options are `single_user` and `IAP`
 
 ## Single user mode
 
-By default, Nous runs in a single user mode which disables any authentication. On startup the database is queried for
+By default, Sophia runs in a single user mode which disables any authentication. On startup the database is queried for
 a user profile, and if none is found then creates one, using the email from the `SINGLE_USER_EMAIL` environment variable.
 
 Th

docs/docs/autonomous-agents.md

@@ -1,6 +1,6 @@
 # Autonomous AI Agents
 
-Nous provides two autonomous agents which work to complete the request via a control loop which iteratively (re-)plans and calls the functions available to the agent.
+Sophia provides two autonomous agents which work to complete the request via a control loop which iteratively (re-)plans and calls the functions available to the agent.
 
 At a high level they share the same internal state, agent memory, human-in-the loop, functional calling history etc. 
 

docs/docs/chatbot.md

@@ -0,0 +1,2 @@
+# ChatBot
+

docs/docs/code-review.md

@@ -1,6 +1,6 @@
 # AI Code reviews
 
-Nous has support for AI code reviews of GitLab merge requests. Adding GitHub support is a good candidate for using the Code Editor agent to assist with!
+Sophia has support for AI code reviews of GitLab merge requests. Adding GitHub support is a good candidate for using the Code Editor agent to assist with!
 
 For the current working proof-of-concept, the configuration files are located in the [/resources](https://github.com/TrafficGuard/nous/tree/preview/resources/codeReview) folder. The next step will to store the configuration in a database.
 

docs/docs/environment-variables.md

@@ -78,7 +78,7 @@ This document provides comprehensive details about the environment variables uti
 **TRACE_SERVICE_NAME**
 
 - **Description**: The name of the service for tracing purposes.
-- **Default Value**: `nous`
+- **Default Value**: `sophia`
 
 **TRACE_AUTO_INSTRUMENT**
 

docs/docs/functions.md

@@ -1,6 +1,6 @@
 # LLM Function schemas
 
-Nous provides an automated way to create LLM function schemas, avoiding the duplicate work of creating a function schema separate from the code implementation. 
+Sophia provides an automated way to create LLM function schemas, avoiding the duplicate work of creating a function schema separate from the code implementation. 
 
 The *ts-morph* package is used to parse the source code at build-time/runtime to generate the schemas.
 
@@ -37,10 +37,10 @@ The `@funcClass(__filename)` annotation must be on the class so ts-morph can fin
 The `@func()` annotation must be on each class method to be exposed as a LLM callable function.
 
 If the schema files don't exist at runtime then they will automatically be generated. To improve startup time
-the schema files are cached under the folder `.nous/functions` and only re-built if the source file modified date is newer. 
+the schema files are cached under the folder `.sophia/functions` and only re-built if the source file modified date is newer. 
 Also, the schema files can be generated at build time with the `npm run functionSchemas` script.
 
-Function calling agents can transform the object implementing the [FunctionSchema](https://github.com/TrafficGuard/nous/blob/main/src/functionSchema/functions.ts#L13)
+Function calling agents can transform the object implementing the [FunctionSchema](https://github.com/TrafficGuard/sophia/blob/main/src/functionSchema/functions.ts#L13)
 interface into the format required, e.g. the custom XML format, or native function calling types for OpenAI, Anthropic, Gemini etc.
 
 The `@func` annotation also adds OpenTelemetry tracing to the function call.

docs/docs/getting-started-cli.md

@@ -21,7 +21,7 @@ npm run agent research the latest news about large language models and write a r
 
 Without arguments the prompt is read from `src/cli/code-in` otherwise it uses the provided arguments for the prompt.
 
-This is a useful for editing the nous codebase. You could run a command like:
+This is a useful for editing the sophia codebase. You could run a command like:
 
 ```bash
 npm run code In the anthropic vertex class update the pricing for claude 3.5 sonnet to be 3 dollars per million input tokens and 15 dollars per million output tokens

docs/docs/index.md

@@ -1,21 +1,21 @@
 <a id="banner"></a>
 <p align="center">
-  <img src="https://public.trafficguard.ai/nous/banner.png" alt="nous logo"/>
+  <img src="https://public.trafficguard.ai/sophia/banner.png" alt="nous logo"/>
 </p>
 <p align="center">
   <em>The open-source TypeScript platform for autonomous AI agents and LLM based workflows</em>
 </p>
-<em><b>Nous</b></em> (Greek: νοῦς) is a term from classical philosophy often associated with intellect or intelligence, represents the human mind's capacity to comprehend truth and reality.
+The Ancient Greek word <em><b>sophía (σοφία)</b></em> is the abstract noun of σοφός (sophós), which variously translates to "clever, skillful, intelligent, wise"
 
-## The Nous Story
+## The Sophia Story
 
-Nous started from a simple goal: to harness AI's potential to enhance real-world productivity, born in DevOps and Platform Engineering space. We envisioned a tool that could:
+Sophia started from a simple goal: to harness AI's potential to enhance real-world productivity, born in DevOps and Platform Engineering space. We envisioned a tool that could:
 
 - Automate various processes and support requests, and triage build failures.
 - Review code for compliance with standards and best practices.
 - Assist with large refactorings, and more.
 
-At TrafficGuard we process billions of events a month for our global clients, [increasing their Ad spend ROI](https://www.trafficguard.ai/case-studies?ref=nous) from bots and other invalid traffic. 
+At TrafficGuard we process billions of events a month for our global clients, [increasing their Ad spend ROI](https://www.trafficguard.ai/case-studies?ref=sophia) from bots and other invalid traffic. 
 Our platform on Google Cloud comprises projects developed in TypeScript, Python, GoogleSQL, PHP and Terraform, deployed from GitLab.
 
 With open source projects typically Python/GitHub focused, and the vendor AI tools being focused in their silos, 
@@ -42,7 +42,7 @@ Some of the key features include:
 - Function callable integrations:
     - Filesystem, Jira, Slack, Perplexity, Gitlab and more
 - Supports multiple LLMs/Services:
-    - OpenAI, Anthropic (native & Vertex), Gemini, Groq, Fireworks, Together.ai, DeepSeek, Ollama
+    - OpenAI, Anthropic (native & Vertex), Gemini, Groq, Fireworks, Together.ai, DeepSeek, Ollama, Cerebras
 - CLI and Web interface
 - Human-in-the-loop for:
     - Budget control
@@ -96,11 +96,11 @@ Some of the key features include:
 
 ## Code Examples
 
-### Nous vs LangChain
+### Sophia vs LangChain
 
-Nous doesn't use LangChain, for [many reasons](https://www.octomind.dev/blog/why-we-no-longer-use-langchain-for-building-our-ai-agents) that [you](https://www.google.com/search?q=langchain+site%3Anews.ycombinator.com) can [read online](https://www.google.com/search?q=langchain+sucks+site%3Areddit.com)
+Sophia doesn't use LangChain, for [many reasons](https://www.octomind.dev/blog/why-we-no-longer-use-langchain-for-building-our-ai-agents) that [you](https://www.google.com/search?q=langchain+site%3Anews.ycombinator.com) can [read online](https://www.google.com/search?q=langchain+sucks+site%3Areddit.com)
 
-Let's compare the LangChain document example for Multiple Chains to the equivalent Nous implementation.
+Let's compare the LangChain document example for Multiple Chains to the equivalent Sophia implementation.
 
 #### LangChain
 ```typescript
@@ -138,7 +138,7 @@ const result = await combinedChain.invoke({
 console.log(result);
 ```
 
-#### Nous
+#### Sophia
 ```typescript
 import { llms } from '#agent/context'
 import { anthropicLLMs } from '#llms/anthropic'
@@ -154,7 +154,7 @@ runAgentWorkflow({ llms: anthropicLLMs() }, async () => {
 });
 ```
 
-The Nous code also has the advantage of static typing with the prompt arguments, enabling you to refactor with ease.
+The Sophia code also has the advantage of static typing with the prompt arguments, enabling you to refactor with ease.
 Using simple control flow allows easy debugging with breakpoints/logging.
 
 To run a fully autonomous agent:
@@ -195,5 +195,3 @@ export class Jira {
 ## Contributing 
 
 We warmly welcome contributions to the project through [issues](https://github.com/TrafficGuard/nous/issues), [pull requests](https://github.com/TrafficGuard/nous/pulls)  or [discussions](https://github.com/TrafficGuard/nous/discussions)
-
-Reach out to us as [email protected] if you'd like support to ramp up as a contributor.

docs/docs/observability.md

@@ -24,7 +24,7 @@ Any TypeScript file which is used as an application entry point should being wit
 Tracing is implemented with OpenTelemetry. The environment variables which configure tracing are:
 ```
 TRACE_AGENT_ENABLED=true
-TRACE_SERVICE_NAME=nous
+TRACE_SERVICE_NAME=sophia
 TRACE_AUTO_INSTRUMENT=true
 TRACE_SAMPLE_RATE=1
 ```

docs/docs/setup.md

@@ -9,8 +9,8 @@
 
 ## Installation
 ```bash
-git clone https://github.com/TrafficGuard/nous.git
-cd nous
+git clone https://github.com/TrafficGuard/sophia.git
+cd sophia
 source ./bin/configure
 ```
 The configure script will:
@@ -46,12 +46,12 @@ If you want to get running ASAP then in `variables/local.env` update the `DATABA
 
 ## Configuration quick start
 
-The `variables/local.env` file contains the configuration when running Nous locally.
+The `variables/local.env` file contains the configuration when running Sophia locally.
 
 If you have configured Google Cloud then update `TRACE_AGENT_ENABLED` to `true`.
 
-By default, Nous runs in `single_user` authentication mode. A user profile will be created the first time the application is run.
-Update the `SINGLE_USER_EMAIL` variable with your email before running Nous for the first time.
+By default, Sophia runs in `single_user` authentication mode. A user profile will be created the first time the application is run.
+Update the `SINGLE_USER_EMAIL` variable with your email before running Sophia for the first time.
 
 The LLM service API keys and integration configurations can be set in web UI, or alternatively in the `variables/local.env` file. Values in the user profile take preferences over the environment configuration values.