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What

  • Fix Ollama LLM adapter connection issue where api_base URL was being lost during validation
  • Fix Ollama Embedding adapter to correctly prefix model names with ollama/ for litellm compatibility

Why

  • The validate() method in both OllamaLLMParameters and OllamaEmbeddingParameters is called twice during adapter usage:
    a. First in LLM.__init__() / Embedding.__init__() - converts base_url → api_base
    b. Second in LLM.complete() - re-validates already-validated kwargs
  • On the second validation call, base_url no longer exists (already converted), causing api_base to become an empty string, which results in a connection refused issue.

How

  • Modified OllamaLLMParameters.validate() to preserve existing api_base if base_url is not present: adapter_metadata.get("base_url", adapter_metadata.get("api_base", ""))
  • Applied the same fix to OllamaEmbeddingParameters.validate()
  • Updated OllamaEmbeddingParameters.validate_model() to add ollama/ prefix for litellm embedding compatibility (similar to how OllamaLLMParameters adds ollama_chat/ prefix)

Can this PR break any existing features. If yes, please list possible items. If no, please explain why. (PS: Admins do not merge the PR without this section filled)

  • No, the changes will not brake any existing features. The changes in validation are backward comaptible.

Database Migrations

Env Config

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Notes on Testing

  • Tested both LLM and Embedding adapters in Prompt Studio.

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I have read and understood the Contribution Guidelines.

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coderabbitai bot commented Jan 6, 2026

Summary by CodeRabbit

  • Bug Fixes
    • Improved Ollama configuration validation with better fallback handling for API base URLs.
    • Enhanced model name normalization to ensure proper prefix application and flexible model selection.

✏️ Tip: You can customize this high-level summary in your review settings.

Walkthrough

Updates parameter validation for Ollama LLM and Embedding adapters. The validate methods now derive base_url from api_base with fallback handling, and validate_model methods add logic to handle model name fallback and automatic prefixing with ollama/ when needed.

Changes

Cohort / File(s) Summary
Ollama Parameter Validation
unstract/sdk1/src/unstract/sdk1/adapters/base1.py
Updated OllamaLLMParameters and OllamaEmbeddingParameters classes: (1) validate methods now derive base_url from api_base with fallback instead of defaulting to empty string; (2) validate_model methods now support model_name with fallback to model, and automatically prefix with ollama/ if not already present.

Estimated code review effort

🎯 2 (Simple) | ⏱️ ~10 minutes

Pre-merge checks and finishing touches

❌ Failed checks (1 warning)
Check name Status Explanation Resolution
Docstring Coverage ⚠️ Warning Docstring coverage is 0.00% which is insufficient. The required threshold is 80.00%. You can run @coderabbitai generate docstrings to improve docstring coverage.
✅ Passed checks (2 passed)
Check name Status Explanation
Title check ✅ Passed The title clearly and concisely identifies the main fix: Ollama adapters failing after LiteLLM migration, which directly corresponds to the primary changes in the changeset.
Description check ✅ Passed The description includes all critical sections: What, Why, How, breaking changes assessment, and testing notes. It comprehensively explains the validation issue and the fixes applied to both LLM and Embedding adapters.
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Actionable comments posted: 1

🤖 Fix all issues with AI Agents
In @unstract/sdk1/src/unstract/sdk1/adapters/base1.py:
- Around line 785-789: The code block that constructs the Ollama model
identifier uses adapter_metadata.get("model_name"/"model") and then
conditionally prepends "ollama/" which is incorrect for embeddings; update the
logic in base1.py so that the embedding model name is returned/passed exactly as
extracted (variable model from adapter_metadata) without adding or checking for
the "ollama/" prefix, ensuring the plain embedding model name is sent to
LiteLLM's embeddings API.
📜 Review details

Configuration used: Organization UI

Review profile: CHILL

Plan: Pro

Cache: Disabled due to Reviews > Disable Cache setting

Knowledge base: Disabled due to Reviews -> Disable Knowledge Base setting

📥 Commits

Reviewing files that changed from the base of the PR and between f834ac4 and 880cce5.

📒 Files selected for processing (1)
  • unstract/sdk1/src/unstract/sdk1/adapters/base1.py
⏰ Context from checks skipped due to timeout of 90000ms. You can increase the timeout in your CodeRabbit configuration to a maximum of 15 minutes (900000ms). (1)
  • GitHub Check: build
🔇 Additional comments (2)
unstract/sdk1/src/unstract/sdk1/adapters/base1.py (2)

629-631: Good fix for the double-validation issue.

The nested fallback get("base_url", get("api_base", "")) correctly preserves the existing api_base value when base_url is absent during the second validation call, preventing the connection refused error.


777-779: Consistent fix applied to embedding adapter.

The same fallback logic correctly addresses the double-validation issue for embeddings, maintaining consistency with the LLM adapter fix.

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Test Results

Summary
  • Runner Tests: 11 passed, 0 failed (11 total)
  • SDK1 Tests: 66 passed, 0 failed (66 total)

Runner Tests - Full Report
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$$\textcolor{#23d18b}{\tt{runner/src/unstract/runner/clients/test\_docker.py}}$$ $$\textcolor{#23d18b}{\tt{test\_get\_container\_run\_config\_without\_mount}}$$ $$\textcolor{#23d18b}{\tt{1}}$$ $$\textcolor{#23d18b}{\tt{1}}$$
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$$\textcolor{#23d18b}{\tt{runner/src/unstract/runner/clients/test\_docker.py}}$$ $$\textcolor{#23d18b}{\tt{test\_get\_image\_for\_sidecar}}$$ $$\textcolor{#23d18b}{\tt{1}}$$ $$\textcolor{#23d18b}{\tt{1}}$$
$$\textcolor{#23d18b}{\tt{runner/src/unstract/runner/clients/test\_docker.py}}$$ $$\textcolor{#23d18b}{\tt{test\_sidecar\_container}}$$ $$\textcolor{#23d18b}{\tt{1}}$$ $$\textcolor{#23d18b}{\tt{1}}$$
$$\textcolor{#23d18b}{\tt{TOTAL}}$$ $$\textcolor{#23d18b}{\tt{11}}$$ $$\textcolor{#23d18b}{\tt{11}}$$
SDK1 Tests - Full Report
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$$\textcolor{#23d18b}{\tt{TOTAL}}$$ $$\textcolor{#23d18b}{\tt{66}}$$ $$\textcolor{#23d18b}{\tt{66}}$$

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Left one comment regarding maintainability . ELse looks fine. Approving for now.

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4 participants