Adding ollama support

[minhaz1217]

Hello,
I have added support for Ollama using their official Python package.

I have tested the code and ran the application using "deepseek-r1:1.5b" and "qwen2.5:0.5b", both the embedding and the llm. Unfortunately I don't have access to any high spec computers so I wasn't able to test it using higher end models. I'd appreciate it if others can test it to see if everything is ok. I have tested the code and ran the application. It is behaving as expected after I tweak some of the code like running the asynchronous tasks sequentially and increasing the timeout.

Let me know if I need to add any other things.

[minhaz1217]

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[Copilot]

Pull Request Overview

Adds support for the Ollama LLM and embedding provider via the official Python package. Key changes include:

• New Ollama-specific implementation files for LLM and embeddings and wiring them into the existing wrappers.
• Documentation, configuration, and environment updates to enable Ollama setup.
• Updates to connectivity checks, requirements, and README to reflect the new provider.

Reviewed Changes

Copilot reviewed 11 out of 11 changed files in this pull request and generated 4 comments.

Show a summary per file

File	Description
docs/setup-ollama.md	New setup instructions for Ollama
code/requirements.txt	Added ollama>=0.5.1 dependency
code/llm/ollama.py	New OllamaProvider implementation
code/llm/llm.py	Registered ollama in LLM factory
code/embedding/ollama_embedding.py	New embedding functions for Ollama
code/embedding/embedding.py	Integrated Ollama embedding into main dispatcher
code/config/config_llm.yaml	Added Ollama LLM endpoint configuration
code/config/config_embedding.yaml	Added Ollama embedding provider configuration
code/azure-connectivity.py	Added check_ollama_api connectivity test
code/README.md	Documented new Ollama files
code/.env.template	Added OLLAMA_URL default to .env template

Comments suppressed due to low confidence (4)

code/llm/ollama.py:152

• [nitpick] The alias get_llama_completion is misleading for an Ollama provider; consider renaming to get_ollama_completion for clarity.

get_llama_completion = provider.get_completion

docs/setup-ollama.md:31

• [nitpick] Single-dot lines in the fenced code block are unclear; replace with an ellipsis (...) or remove them to better indicate omitted content.

.

code/config/config_llm.yaml:77

• The added llm_type: ollama field isn't used by the provider implementation; remove it or document its purpose to avoid confusion.

  ollama:

code/llm/ollama.py:1

• No tests were added for the new Ollama provider; consider adding unit tests for successful responses, timeouts, and error handling.

# Copyright (c) 2025 Microsoft Corporation.

[hultzj]

Ran into some behavior with smaller models and less powerful GPU. Suggest you modify the embedding to a higher timeout from 60 to timeout: int = 300
That fixed the load errors for me.

[minhaz1217]

Suggest you modify the embedding to a higher timeout from 60 to timeout: int = 300

Ok I'll increase the default timeout to 300