docs: add Qwen3 think/no_think config example (#1636) #1707
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WalkthroughA new section was added to the configuration examples documentation, describing how to use Qwen3 models in Thinking and Non-Thinking modes. Additionally, a comprehensive YAML configuration template for WrenAI was introduced, detailing model, pipeline, and system settings for various AI tasks. Changes
Sequence Diagram(s)sequenceDiagram
participant User
participant WrenAI
participant OpenRouter/Qwen3
User->>WrenAI: Send prompt with /think or /no_think suffix
WrenAI->>OpenRouter/Qwen3: Route request to Qwen3 model (thinking or fast)
OpenRouter/Qwen3-->>WrenAI: Return model response
WrenAI-->>User: Deliver response (complex or fast)
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Actionable comments posted: 0
🧹 Nitpick comments (9)
wren-ai-service/docs/config_examples/config.qwen3.yaml (5)
1-7: Fix enumeration mismatch in initial instructions
The intro comment says "3 steps basically" but then lists four steps (1 to 4). Please update either the step count or the enumerated list to avoid confusion.
8-58: Enhance maintainability by minimizing repetition in LLM definitions
Theapi_base,timeout, and commonkwargsblocks are repeated across each model entry. Consider extracting shared fields into YAML anchors/aliases to DRY up these definitions. This will make future updates easier and reduce the risk of inconsistencies.
81-87: Caution onrecreate_index: true
By default,recreate_index: truewill drop and rebuild your Qdrant index on startup. In production, this may lead to data loss—consider adding a warning comment or making this setting optional.
89-182: Consider DRY pipelines and highlight Qwen3-specific flows
The pipelines block is comprehensive but quite repetitive:
- Use YAML anchors for shared fields (
llm,embedder,document_store,engine).- Group or annotate Qwen3-specific pipelines (e.g., those using
qwen3-thinkingorqwen3-fast) at the top to improve discoverability.
Also verify that omittingembedderorenginekeys falls back to intended defaults.
183-205: Settings section looks solid
Runtime parameters are clearly defined. Remember to setdevelopment: falsefor production deployments.wren-ai-service/docs/config_examples/README.md (4)
1-3: Tone down the admonition header
The "MUST READ!!!" header is overly forceful. Consider using a softer phrasing like "Please read carefully" to improve the reader experience.🧰 Tools
🪛 LanguageTool
[style] ~1-~1: Using many exclamation marks might seem excessive (in this case: 3 exclamation marks for a text that’s 1464 characters long)
Context: # MUST READ!!! Since these config files are examples,...(EN_EXCESSIVE_EXCLAMATION)
5-5: Refine wording for contribution section
The phrase "We also definitely welcome your contribution" can be streamlined to "We welcome contributions" for clarity and conciseness.
7-7: Consistent naming for Non-Thinking mode
The section header uses "No_Think" (underscore) while the body calls it "Non-Thinking Mode". Align on one term—e.g., "Non-Thinking"—for consistency.
29-36: Specify fenced code block language
The usage example code block lacks a language tag. Add ```yaml after the backticks to enable proper syntax highlighting.🧰 Tools
🪛 markdownlint-cli2 (0.17.2)
30-30: Fenced code blocks should have a language specified
null(MD040, fenced-code-language)
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wren-ai-service/docs/config_examples/README.md(1 hunks)wren-ai-service/docs/config_examples/config.qwen3.yaml(1 hunks)
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🪛 markdownlint-cli2 (0.17.2)
wren-ai-service/docs/config_examples/README.md
30-30: Fenced code blocks should have a language specified
null
(MD040, fenced-code-language)
🔇 Additional comments (5)
wren-ai-service/docs/config_examples/config.qwen3.yaml (5)
8-24: Clarify the role of thedefaultalias
The first model entry usesalias: defaultwith identical settings toqwen3-thinking. Confirm whetherdefaultis intended as a separate baseline or if it should be removed or renamed to avoid duplication.
25-46: Approve Non-Thinking mode parameters
Theqwen3-fastalias is correctly configured for non-thinking use: higher temperature and reducedtop_pfor faster, simpler outputs, with atextresponse format.
47-58: Validate JSON handling forqwen3-32b
You've setresponse_format.type: json_objectfor the 32B model. Ensure that downstream pipelines and consumers can parse JSON objects; otherwise, document any required transformations.
59-69: Embedder configuration is clear
The embedder section provides sensible defaults and points users to setOPENAI_API_KEY.
71-79: Engine definitions are properly specified
Bothwren_uiandwren_ibisendpoints are defined correctly with clear provider and URL settings.
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@s2010 interesting! could you give me examples explaining adding |
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In WrenAI configuration the system will automatically routes:
/no_think queries for Quick Responses → "Show me today's sales numbers /no_think"
The configuration I created supports this intelligent routing through the pipeline settings, where reasoning tasks like sql_generation_reasoning use the thinking model, while quick tasks like sql_answer use the fast model. |
This PR adds a new configuration example (
config.qwen3.yaml) under docs/config_examples for the Qwen3 “think” and “no_think” endpoints. It mirrors the existing DeepSeek example, swapping in the correctapi_baseand model names.Closes #1636
Summary by CodeRabbit
Documentation
OPENROUTER_API_KEYenvironment variable for OpenRouter integration.New Features