docs: add Atlas Cloud as a custom OpenAI-compatible provider (refs #332)

Reworks PR #332 to follow the repo's provider-doc convention instead of
its README-marketing form:
- add examples/configs/atlas.provider.yml, modeled on the existing
  aggregator example configs (deepinfra/openrouter/novita)
- list Atlas Cloud in the README aggregators line
- LLM_SERVER_PROVIDER left EMPTY for direct access — it is a LiteLLM
  model-name prefix, and #332 incorrectly recommended `openai`, which
  would break /models discovery for Atlas's vendor-prefixed model ids

Dropped from #332 (not matching any existing aggregator's docs): vendor
logo/banner, UTM-tracked links, and the static 59-model table.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>

README.md

@@ -72,7 +72,7 @@ You can watch the video **PentAGI overview**:
 - Persistent Storage. All commands and outputs are stored in PostgreSQL with [pgvector](https://hub.docker.com/r/vxcontrol/pgvector) extension.
 - Scalable Architecture. Microservices-based design supporting horizontal scaling.
 - Self-Hosted Solution. Complete control over your deployment and data.
-- Flexible Authentication. Support for 10+ LLM providers ([OpenAI](https://platform.openai.com/), [Anthropic](https://www.anthropic.com/), [Google AI/Gemini](https://ai.google.dev/), [AWS Bedrock](https://aws.amazon.com/bedrock/), [Ollama](https://ollama.com/), [DeepSeek](https://www.deepseek.com/en/), [GLM](https://z.ai/), [Kimi](https://platform.moonshot.ai/), [Qwen](https://www.alibabacloud.com/en/), Custom) plus aggregators ([OpenRouter](https://openrouter.ai/), [DeepInfra](https://deepinfra.com/)). For production local deployments, see our [vLLM + Qwen3.5-27B-FP8 guide](examples/guides/vllm-qwen35-27b-fp8.md).
+- Flexible Authentication. Support for 10+ LLM providers ([OpenAI](https://platform.openai.com/), [Anthropic](https://www.anthropic.com/), [Google AI/Gemini](https://ai.google.dev/), [AWS Bedrock](https://aws.amazon.com/bedrock/), [Ollama](https://ollama.com/), [DeepSeek](https://www.deepseek.com/en/), [GLM](https://z.ai/), [Kimi](https://platform.moonshot.ai/), [Qwen](https://www.alibabacloud.com/en/), Custom) plus aggregators ([OpenRouter](https://openrouter.ai/), [DeepInfra](https://deepinfra.com/), [Atlas Cloud](https://www.atlascloud.ai/)). For production local deployments, see our [vLLM + Qwen3.5-27B-FP8 guide](examples/guides/vllm-qwen35-27b-fp8.md).
 - API Token Authentication. Secure Bearer token system for programmatic access to REST and GraphQL APIs.
 - Quick Deployment. Easy setup through [Docker Compose](https://docs.docker.com/compose/) with comprehensive environment configuration.
 
@@ -3000,10 +3000,10 @@ docker exec -it pentagi /opt/pentagi/bin/ctester -config /opt/pentagi/conf/ollam
 To use these configurations, your `.env` file only needs to contain:
 
 ```
-LLM_SERVER_URL=https://openrouter.ai/api/v1      # or https://api.deepinfra.com/v1/openai or https://api.openai.com/v1 or https://api.novita.ai/openai
+LLM_SERVER_URL=https://openrouter.ai/api/v1      # or https://api.deepinfra.com/v1/openai or https://api.openai.com/v1 or https://api.novita.ai/openai or https://api.atlascloud.ai/v1
 LLM_SERVER_KEY=your_api_key
 LLM_SERVER_MODEL=                                # Leave empty, as models are specified in the config
-LLM_SERVER_CONFIG_PATH=/opt/pentagi/conf/openrouter.provider.yml  # or deepinfra.provider.ymll or custom-openai.provider.yml or novita.provider.yml
+LLM_SERVER_CONFIG_PATH=/opt/pentagi/conf/openrouter.provider.yml  # or deepinfra.provider.yml or custom-openai.provider.yml or novita.provider.yml or atlas.provider.yml
 LLM_SERVER_PROVIDER=                             # Provider name for LiteLLM proxy (e.g., openrouter, deepseek, moonshot, novita)
 LLM_SERVER_LEGACY_REASONING=false                # Controls reasoning format, for OpenAI must be true (default: false)
 LLM_SERVER_PRESERVE_REASONING=false              # Preserve reasoning content in multi-turn conversations (required by Moonshot, default: false)

examples/configs/atlas.provider.yml

@@ -0,0 +1,119 @@
+simple:
+  model: "Qwen/Qwen3-Next-80B-A3B-Instruct"
+  temperature: 0.7
+  top_p: 0.95
+  n: 1
+  max_tokens: 4000
+  price:
+    input: 0.14
+    output: 1.4
+
+simple_json:
+  model: "Qwen/Qwen3-Next-80B-A3B-Instruct"
+  temperature: 0.7
+  top_p: 1.0
+  n: 1
+  max_tokens: 4000
+  json: true
+  price:
+    input: 0.14
+    output: 1.4
+
+primary_agent:
+  model: "moonshotai/kimi-k2.6"
+  temperature: 1.0
+  n: 1
+  max_tokens: 6000
+  price:
+    input: 0.4
+    output: 2.0
+
+assistant:
+  model: "moonshotai/kimi-k2.6"
+  temperature: 1.0
+  n: 1
+  max_tokens: 8000
+  price:
+    input: 0.4
+    output: 2.0
+
+generator:
+  model: "deepseek-ai/deepseek-v4-pro"
+  temperature: 1.0
+  n: 1
+  max_tokens: 8000
+  price:
+    input: 1.0
+    output: 3.0
+
+refiner:
+  model: "deepseek-ai/deepseek-r1-0528"
+  temperature: 1.0
+  n: 1
+  max_tokens: 8000
+  price:
+    input: 1.0
+    output: 3.0
+
+adviser:
+  model: "deepseek-ai/deepseek-v4-pro"
+  temperature: 1.0
+  n: 1
+  max_tokens: 4000
+  price:
+    input: 1.0
+    output: 3.0
+
+reflector:
+  model: "Qwen/Qwen3-Next-80B-A3B-Instruct"
+  temperature: 1.0
+  n: 1
+  max_tokens: 4000
+  price:
+    input: 0.14
+    output: 1.4
+
+searcher:
+  model: "qwen/qwen3-32b"
+  temperature: 1.0
+  n: 1
+  max_tokens: 4000
+  price:
+    input: 0.1
+    output: 0.3
+
+enricher:
+  model: "qwen/qwen3-32b"
+  temperature: 1.0
+  n: 1
+  max_tokens: 6000
+  price:
+    input: 0.1
+    output: 0.3
+
+coder:
+  model: "anthropic/claude-sonnet-4.6"
+  temperature: 1.0
+  n: 1
+  max_tokens: 8000
+  price:
+    input: 3.3
+    output: 16.5
+
+installer:
+  model: "google/gemini-3.5-flash"
+  temperature: 1.0
+  n: 1
+  max_tokens: 6000
+  price:
+    input: 0.3
+    output: 2.5
+
+pentester:
+  model: "moonshotai/kimi-k2.6"
+  temperature: 1.0
+  n: 1
+  max_tokens: 6000
+  price:
+    input: 0.4
+    output: 2.0