Conversation
- Create docs/ directory with 11 structured Markdown files - Add Mermaid diagrams for architecture, agent loop, context management - Document Chutes API integration (CHUTES_API_TOKEN, Kimi K2.5-TEE) - Include usage examples with python3 agent.py --instruction - Cover configuration, tools reference, best practices - Update README.md to reference new documentation structure
📝 WalkthroughWalkthroughThis pull request restructures BaseAgent's documentation from a code-centric approach to a documentation-driven onboarding experience. The main README is updated to emphasize multi-provider LLM support (Chutes API by default, with OpenRouter fallback) and streamlined quick-start instructions. A new comprehensive docs/ directory containing 10+ new documentation files is added, covering architecture, configuration, installation, usage, context management, tools, best practices, and provider-specific integration guides. Changes
Estimated code review effort🎯 3 (Moderate) | ⏱️ ~45 minutes Poem
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Actionable comments posted: 5
🤖 Fix all issues with AI agents
In `@docs/chutes-integration.md`:
- Around line 131-137: Update the docs table entry for the LLM_PROVIDER
environment variable so its default and description reflect "chutes" as the
documented default (replace the current default value "openrouter" and update
the Description cell that currently reads "Set to `chutes`" if inconsistent);
specifically edit the table row for the `LLM_PROVIDER` variable to show Default
= `chutes` and ensure the Description mentions chutes as the default provider to
match the PR objective.
In `@docs/context-management.md`:
- Around line 355-363: The fenced code block showing compaction logs lacks a
language specifier; update the block around the compaction logs (the lines
starting with “[compaction] Context…”) to use a language tag (e.g., ```text) so
Markdown renders it correctly and enables proper syntax highlighting and
compliance.
In `@docs/README.md`:
- Line 5: Update the compound adjective in the BaseAgent description by
replacing "LLM-driven decision making" with "LLM-driven decision-making" so the
phrase correctly hyphenates the modifier; locate the sentence starting
"BaseAgent is a high-performance autonomous agent..." and make this single-word
hyphenation change.
In `@docs/usage.md`:
- Line 68: The markdown example under the header "# Run with inline variables"
is missing a code-fence language tag; update the code block containing the bash
example so the opening fence includes "bash" (i.e., change the opening "```" to
"```bash") so the inline variables example (the line LLM_COST_LIMIT="5.0"
python3 agent.py --instruction "...") is rendered with proper bash highlighting
and consistency.
- Around line 166-167: The markdown code block for the example command lacks a
language specifier; update the usage example around the command "python3
agent.py --instruction \"...\" | jq 'select(.item.type == \"agent_message\") |
.item.content'" to wrap it in a fenced code block with the language identifier
"bash" (i.e., add ```bash before the command and closing ``` after) so the
snippet is markdown-compliant and highlighted.
🧹 Nitpick comments (4)
docs/installation.md (1)
28-35: Replace placeholder organization name with actual repository URL.The git clone URLs use a placeholder "your-org" which should be replaced with the actual organization name "PlatformNetwork" based on the PR objectives. This makes the commands directly copy-pasteable for users.
📝 Proposed fix for all occurrences
# Clone the repository -git clone https://github.com/your-org/baseagent.git +git clone https://github.com/PlatformNetwork/baseagent.git cd baseagentApply the same change to lines 43 and 55.
docs/tools.md (1)
94-100: Add language identifiers to fenced code blocks for better rendering.Several fenced code blocks showing output examples don't have language specifiers. Adding identifiers (e.g.,
text,bash, ordiff) would improve syntax highlighting and rendering across different Markdown viewers.📋 Suggested language identifiers
- Line 94: Add
textfor shell command output- Line 131: Add
textfor file content with line numbers- Line 192: Add
difffor patch format example- Line 263: Add
textfor grep output- Line 306: Add
textfor directory listingExample for line 94:
-``` +```text total 40 drwxr-xr-x 7 root root 4096 Feb 3 13:16 .Also applies to: 131-138, 192-203, 263-267, 306-316
docs/chutes-integration.md (1)
143-155: Add language identifiers to fenced code blocks.The XML example block (line 143) and bash command (line 314) should have language identifiers for proper syntax highlighting.
📋 Proposed fixes
For line 143:
-``` +```xml <think>For line 314:
-``` +```bash export LLM_MODEL="moonshotai/Kimi-K2.5-TEE"Also applies to: 314-315
docs/best-practices.md (1)
143-145: Add language identifiers to log output code blocks.The log output examples would benefit from language identifiers for consistent formatting across the documentation.
📋 Proposed fix
For line 143:
-``` +```text [14:30:17] [loop] Tokens: 50000 input, 45000 cached, 500 outputFor line 314:
-``` +```text [compaction] Context overflow detected, managing...Also applies to: 314-316
| | Variable | Required | Default | Description | | ||
| |----------|----------|---------|-------------| | ||
| | `CHUTES_API_TOKEN` | Yes | - | API token from chutes.ai | | ||
| | `LLM_PROVIDER` | No | `openrouter` | Set to `chutes` | | ||
| | `LLM_MODEL` | No | `moonshotai/Kimi-K2.5-TEE` | Model identifier | | ||
| | `LLM_COST_LIMIT` | No | `10.0` | Max cost in USD | | ||
|
|
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Incorrect default value for LLM_PROVIDER environment variable.
The documentation states the default for LLM_PROVIDER is openrouter, but this contradicts the PR objectives which explicitly state "Chutes API is documented as the default LLM provider." This inconsistency could confuse users about which provider is actually configured by default.
📝 Proposed fix
| Variable | Required | Default | Description |
|----------|----------|---------|-------------|
| `CHUTES_API_TOKEN` | Yes | - | API token from chutes.ai |
-| `LLM_PROVIDER` | No | `openrouter` | Set to `chutes` |
+| `LLM_PROVIDER` | No | `chutes` | Provider to use (chutes, openrouter, etc.) |
| `LLM_MODEL` | No | `moonshotai/Kimi-K2.5-TEE` | Model identifier |
| `LLM_COST_LIMIT` | No | `10.0` | Max cost in USD |📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| | Variable | Required | Default | Description | | |
| |----------|----------|---------|-------------| | |
| | `CHUTES_API_TOKEN` | Yes | - | API token from chutes.ai | | |
| | `LLM_PROVIDER` | No | `openrouter` | Set to `chutes` | | |
| | `LLM_MODEL` | No | `moonshotai/Kimi-K2.5-TEE` | Model identifier | | |
| | `LLM_COST_LIMIT` | No | `10.0` | Max cost in USD | | |
| | Variable | Required | Default | Description | | |
| |----------|----------|---------|-------------| | |
| | `CHUTES_API_TOKEN` | Yes | - | API token from chutes.ai | | |
| | `LLM_PROVIDER` | No | `chutes` | Provider to use (chutes, openrouter, etc.) | | |
| | `LLM_MODEL` | No | `moonshotai/Kimi-K2.5-TEE` | Model identifier | | |
| | `LLM_COST_LIMIT` | No | `10.0` | Max cost in USD | |
🤖 Prompt for AI Agents
In `@docs/chutes-integration.md` around lines 131 - 137, Update the docs table
entry for the LLM_PROVIDER environment variable so its default and description
reflect "chutes" as the documented default (replace the current default value
"openrouter" and update the Description cell that currently reads "Set to
`chutes`" if inconsistent); specifically edit the table row for the
`LLM_PROVIDER` variable to show Default = `chutes` and ensure the Description
mentions chutes as the default provider to match the PR objective.
| ``` | ||
| [14:30:16] [compaction] Context: 45000 tokens (26.8% of 168000) | ||
| [14:35:22] [compaction] Context: 125000 tokens (74.4% of 168000) | ||
| [14:38:45] [compaction] Context: 148000 tokens (88.1% of 168000) | ||
| [14:38:45] [compaction] Context overflow detected, managing... | ||
| [14:38:45] [compaction] Prune scan: 95000 total tokens, 55000 prunable | ||
| [14:38:45] [compaction] Pruning 12 tool outputs, recovering ~55000 tokens | ||
| [14:38:46] [compaction] Pruning sufficient: 148000 -> 93000 tokens | ||
| ``` |
There was a problem hiding this comment.
Add language specifier to fenced code block.
The log output example should specify a language identifier for proper syntax highlighting and markdown compliance.
📝 Proposed fix
-```
+```text
[14:30:16] [compaction] Context: 45000 tokens (26.8% of 168000)
[14:35:22] [compaction] Context: 125000 tokens (74.4% of 168000)
[14:38:45] [compaction] Context: 148000 tokens (88.1% of 168000)📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| ``` | |
| [14:30:16] [compaction] Context: 45000 tokens (26.8% of 168000) | |
| [14:35:22] [compaction] Context: 125000 tokens (74.4% of 168000) | |
| [14:38:45] [compaction] Context: 148000 tokens (88.1% of 168000) | |
| [14:38:45] [compaction] Context overflow detected, managing... | |
| [14:38:45] [compaction] Prune scan: 95000 total tokens, 55000 prunable | |
| [14:38:45] [compaction] Pruning 12 tool outputs, recovering ~55000 tokens | |
| [14:38:46] [compaction] Pruning sufficient: 148000 -> 93000 tokens | |
| ``` |
🧰 Tools
🪛 markdownlint-cli2 (0.20.0)
[warning] 355-355: Fenced code blocks should have a language specified
(MD040, fenced-code-language)
🤖 Prompt for AI Agents
In `@docs/context-management.md` around lines 355 - 363, The fenced code block
showing compaction logs lacks a language specifier; update the block around the
compaction logs (the lines starting with “[compaction] Context…”) to use a
language tag (e.g., ```text) so Markdown renders it correctly and enables proper
syntax highlighting and compliance.
|
|
||
| > **Professional documentation for the BaseAgent autonomous coding assistant** | ||
|
|
||
| BaseAgent is a high-performance autonomous agent designed for the [Term Challenge](https://term.challenge). It leverages LLM-driven decision making with advanced context management and cost optimization techniques. |
There was a problem hiding this comment.
Fix hyphenation for compound adjective.
The phrase "LLM-driven decision making" should use a hyphen: "LLM-driven decision-making". As per coding guidelines, use a hyphen to join words in compound adjectives.
✏️ Proposed fix
-BaseAgent is a high-performance autonomous agent designed for the [Term Challenge](https://term.challenge). It leverages LLM-driven decision making with advanced context management and cost optimization techniques.
+BaseAgent is a high-performance autonomous agent designed for the [Term Challenge](https://term.challenge). It leverages LLM-driven decision-making with advanced context management and cost optimization techniques.📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| BaseAgent is a high-performance autonomous agent designed for the [Term Challenge](https://term.challenge). It leverages LLM-driven decision making with advanced context management and cost optimization techniques. | |
| BaseAgent is a high-performance autonomous agent designed for the [Term Challenge](https://term.challenge). It leverages LLM-driven decision-making with advanced context management and cost optimization techniques. |
🧰 Tools
🪛 LanguageTool
[grammar] ~5-~5: Use a hyphen to join words.
Context: ...lenge). It leverages LLM-driven decision making with advanced context management ...
(QB_NEW_EN_HYPHEN)
🤖 Prompt for AI Agents
In `@docs/README.md` at line 5, Update the compound adjective in the BaseAgent
description by replacing "LLM-driven decision making" with "LLM-driven
decision-making" so the phrase correctly hyphenates the modifier; locate the
sentence starting "BaseAgent is a high-performance autonomous agent..." and make
this single-word hyphenation change.
| # Cost management | ||
| export LLM_COST_LIMIT="10.0" | ||
|
|
||
| # Run with inline variables |
There was a problem hiding this comment.
Add language specifier to inline variable example.
The bash comment should have a language identifier for consistency and proper rendering.
📝 Proposed fix
-# Run with inline variables
+```bash
+# Run with inline variables
LLM_COST_LIMIT="5.0" python3 agent.py --instruction "..."🧰 Tools
🪛 markdownlint-cli2 (0.20.0)
[warning] 68-68: Fenced code blocks should have a language specified
(MD040, fenced-code-language)
🤖 Prompt for AI Agents
In `@docs/usage.md` at line 68, The markdown example under the header "# Run with
inline variables" is missing a code-fence language tag; update the code block
containing the bash example so the opening fence includes "bash" (i.e., change
the opening "```" to "```bash") so the inline variables example (the line
LLM_COST_LIMIT="5.0" python3 agent.py --instruction "...") is rendered with
proper bash highlighting and consistency.
| # Get all agent messages | ||
| python3 agent.py --instruction "..." | jq 'select(.item.type == "agent_message") | .item.content' |
There was a problem hiding this comment.
Add language specifier to jq command example.
The bash comment should have a language identifier for markdown compliance.
📝 Proposed fix
-# Get all agent messages
+```bash
+# Get all agent messages
python3 agent.py --instruction "..." | jq 'select(.item.type == "agent_message") | .item.content'🧰 Tools
🪛 markdownlint-cli2 (0.20.0)
[warning] 167-167: Fenced code blocks should have a language specified
(MD040, fenced-code-language)
🤖 Prompt for AI Agents
In `@docs/usage.md` around lines 166 - 167, The markdown code block for the
example command lacks a language specifier; update the usage example around the
command "python3 agent.py --instruction \"...\" | jq 'select(.item.type ==
\"agent_message\") | .item.content'" to wrap it in a fenced code block with the
language identifier "bash" (i.e., add ```bash before the command and closing ```
after) so the snippet is markdown-compliant and highlighted.
This umbrella commit combines changes from all three feature PRs: - PR #1: Chutes API integration with Kimi K2.5-TEE model - PR #2: Comprehensive documentation with Mermaid diagrams - PR #3: Remove OpenRouter support, replace litellm with Chutes API Conflicts resolved by taking the latest implementation from PR #3, which provides a cleaner httpx-based client without litellm dependency.
1 participant
Summary
This PR restructures the project documentation into a professional, scientific-style format with comprehensive Mermaid diagrams.
Changes
New Documentation Structure
Created
docs/directory with 11 organized Markdown files:README.mdoverview.mdarchitecture.mdinstallation.mdquickstart.mdconfiguration.mdchutes-integration.mdusage.mdtools.mdcontext-management.mdbest-practices.mdMermaid Diagrams
35+ Mermaid diagrams replacing ASCII art:
Chutes API Integration
Comprehensive documentation for Chutes API as the default LLM provider:
CHUTES_API_TOKEN)<think>...</think>parsingUsage Examples
Clear command-line examples:
Updated README
Main README updated to:
References
Acceptance Criteria
python3 agent.py --instructionexamplesCHUTES_API_TOKEN,LLM_PROVIDER, etc.)Summary by CodeRabbit