Deploying to gh-pages from @ microsoft/graphrag@1c3b0f34c3 🚀

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AlonsoGuevara 2024-12-07 00:27:07 +00:00
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@ -1398,21 +1398,21 @@
</code></pre></div>
<p>Options:</p>
<div class="highlight"><pre><span></span><code><a id="__codelineno-3-1" name="__codelineno-3-1" href="#__codelineno-3-1"></a> --config PATH The configuration to use.
<a id="__codelineno-3-2" name="__codelineno-3-2" href="#__codelineno-3-2"></a> --root PATH The project root directory. [default: .]
<a id="__codelineno-3-2" name="__codelineno-3-2" href="#__codelineno-3-2"></a> --root PATH The project root directory. \[default: .]
<a id="__codelineno-3-3" name="__codelineno-3-3" href="#__codelineno-3-3"></a> --verbose / --no-verbose Run the indexing pipeline with verbose
<a id="__codelineno-3-4" name="__codelineno-3-4" href="#__codelineno-3-4"></a> logging [default: no-verbose]
<a id="__codelineno-3-4" name="__codelineno-3-4" href="#__codelineno-3-4"></a> logging \[default: no-verbose]
<a id="__codelineno-3-5" name="__codelineno-3-5" href="#__codelineno-3-5"></a> --memprofile / --no-memprofile Run the indexing pipeline with memory
<a id="__codelineno-3-6" name="__codelineno-3-6" href="#__codelineno-3-6"></a> profiling [default: no-memprofile]
<a id="__codelineno-3-6" name="__codelineno-3-6" href="#__codelineno-3-6"></a> profiling \[default: no-memprofile]
<a id="__codelineno-3-7" name="__codelineno-3-7" href="#__codelineno-3-7"></a> --resume TEXT Resume a given indexing run
<a id="__codelineno-3-8" name="__codelineno-3-8" href="#__codelineno-3-8"></a> --reporter [rich|print|none] The progress reporter to use. [default:
<a id="__codelineno-3-8" name="__codelineno-3-8" href="#__codelineno-3-8"></a> --reporter [rich|print|none] The progress reporter to use. \[default:
<a id="__codelineno-3-9" name="__codelineno-3-9" href="#__codelineno-3-9"></a> rich]
<a id="__codelineno-3-10" name="__codelineno-3-10" href="#__codelineno-3-10"></a> --dry-run / --no-dry-run Run the indexing pipeline without executing
<a id="__codelineno-3-11" name="__codelineno-3-11" href="#__codelineno-3-11"></a> any steps to inspect and validate the
<a id="__codelineno-3-12" name="__codelineno-3-12" href="#__codelineno-3-12"></a> configuration. [default: no-dry-run]
<a id="__codelineno-3-13" name="__codelineno-3-13" href="#__codelineno-3-13"></a> --cache / --no-cache Use LLM cache. [default: cache]
<a id="__codelineno-3-12" name="__codelineno-3-12" href="#__codelineno-3-12"></a> configuration. \[default: no-dry-run]
<a id="__codelineno-3-13" name="__codelineno-3-13" href="#__codelineno-3-13"></a> --cache / --no-cache Use LLM cache. \[default: cache]
<a id="__codelineno-3-14" name="__codelineno-3-14" href="#__codelineno-3-14"></a> --skip-validation / --no-skip-validation
<a id="__codelineno-3-15" name="__codelineno-3-15" href="#__codelineno-3-15"></a> Skip any preflight validation. Useful when
<a id="__codelineno-3-16" name="__codelineno-3-16" href="#__codelineno-3-16"></a> running no LLM steps. [default: no-skip-
<a id="__codelineno-3-16" name="__codelineno-3-16" href="#__codelineno-3-16"></a> running no LLM steps. \[default: no-skip-
<a id="__codelineno-3-17" name="__codelineno-3-17" href="#__codelineno-3-17"></a> validation]
<a id="__codelineno-3-18" name="__codelineno-3-18" href="#__codelineno-3-18"></a> --output PATH Indexing pipeline output directory.
<a id="__codelineno-3-19" name="__codelineno-3-19" href="#__codelineno-3-19"></a> Overrides storage.base_dir in the
@ -1424,7 +1424,7 @@
<div class="highlight"><pre><span></span><code><a id="__codelineno-4-1" name="__codelineno-4-1" href="#__codelineno-4-1"></a> init [OPTIONS]
</code></pre></div>
<p>Options:</p>
<div class="highlight"><pre><span></span><code><a id="__codelineno-5-1" name="__codelineno-5-1" href="#__codelineno-5-1"></a> --root PATH The project root directory. [required]
<div class="highlight"><pre><span></span><code><a id="__codelineno-5-1" name="__codelineno-5-1" href="#__codelineno-5-1"></a> --root PATH The project root directory. \[required]
</code></pre></div>
<h2 id="prompt-tune">prompt-tune</h2>
<p>Generate custom graphrag prompts with your own data (i.e. auto templating).</p>
@ -1432,38 +1432,38 @@
<div class="highlight"><pre><span></span><code><a id="__codelineno-6-1" name="__codelineno-6-1" href="#__codelineno-6-1"></a> prompt-tune [OPTIONS]
</code></pre></div>
<p>Options:</p>
<div class="highlight"><pre><span></span><code><a id="__codelineno-7-1" name="__codelineno-7-1" href="#__codelineno-7-1"></a> --root PATH The project root directory. [default: .]
<div class="highlight"><pre><span></span><code><a id="__codelineno-7-1" name="__codelineno-7-1" href="#__codelineno-7-1"></a> --root PATH The project root directory. \[default: .]
<a id="__codelineno-7-2" name="__codelineno-7-2" href="#__codelineno-7-2"></a> --config PATH The configuration to use.
<a id="__codelineno-7-3" name="__codelineno-7-3" href="#__codelineno-7-3"></a> --domain TEXT The domain your input data is related to.
<a id="__codelineno-7-4" name="__codelineno-7-4" href="#__codelineno-7-4"></a> For example &#39;space science&#39;, &#39;microbiology&#39;,
<a id="__codelineno-7-5" name="__codelineno-7-5" href="#__codelineno-7-5"></a> &#39;environmental news&#39;. If not defined, a
<a id="__codelineno-7-6" name="__codelineno-7-6" href="#__codelineno-7-6"></a> domain will be inferred from the input data.
<a id="__codelineno-7-7" name="__codelineno-7-7" href="#__codelineno-7-7"></a> --selection-method [all|random|top|auto]
<a id="__codelineno-7-8" name="__codelineno-7-8" href="#__codelineno-7-8"></a> The text chunk selection method. [default:
<a id="__codelineno-7-8" name="__codelineno-7-8" href="#__codelineno-7-8"></a> The text chunk selection method. \[default:
<a id="__codelineno-7-9" name="__codelineno-7-9" href="#__codelineno-7-9"></a> random]
<a id="__codelineno-7-10" name="__codelineno-7-10" href="#__codelineno-7-10"></a> --n-subset-max INTEGER The number of text chunks to embed when
<a id="__codelineno-7-11" name="__codelineno-7-11" href="#__codelineno-7-11"></a> --selection-method=auto. [default: 300]
<a id="__codelineno-7-11" name="__codelineno-7-11" href="#__codelineno-7-11"></a> --selection-method=auto. \[default: 300]
<a id="__codelineno-7-12" name="__codelineno-7-12" href="#__codelineno-7-12"></a> --k INTEGER The maximum number of documents to select
<a id="__codelineno-7-13" name="__codelineno-7-13" href="#__codelineno-7-13"></a> from each centroid when --selection-
<a id="__codelineno-7-14" name="__codelineno-7-14" href="#__codelineno-7-14"></a> method=auto. [default: 15]
<a id="__codelineno-7-14" name="__codelineno-7-14" href="#__codelineno-7-14"></a> method=auto. \[default: 15]
<a id="__codelineno-7-15" name="__codelineno-7-15" href="#__codelineno-7-15"></a> --limit INTEGER The number of documents to load when
<a id="__codelineno-7-16" name="__codelineno-7-16" href="#__codelineno-7-16"></a> --selection-method={random,top}. [default:
<a id="__codelineno-7-16" name="__codelineno-7-16" href="#__codelineno-7-16"></a> --selection-method={random,top}. \[default:
<a id="__codelineno-7-17" name="__codelineno-7-17" href="#__codelineno-7-17"></a> 15]
<a id="__codelineno-7-18" name="__codelineno-7-18" href="#__codelineno-7-18"></a> --max-tokens INTEGER The max token count for prompt generation.
<a id="__codelineno-7-19" name="__codelineno-7-19" href="#__codelineno-7-19"></a> [default: 2000]
<a id="__codelineno-7-19" name="__codelineno-7-19" href="#__codelineno-7-19"></a> \[default: 2000]
<a id="__codelineno-7-20" name="__codelineno-7-20" href="#__codelineno-7-20"></a> --min-examples-required INTEGER
<a id="__codelineno-7-21" name="__codelineno-7-21" href="#__codelineno-7-21"></a> The minimum number of examples to
<a id="__codelineno-7-22" name="__codelineno-7-22" href="#__codelineno-7-22"></a> generate/include in the entity extraction
<a id="__codelineno-7-23" name="__codelineno-7-23" href="#__codelineno-7-23"></a> prompt. [default: 2]
<a id="__codelineno-7-23" name="__codelineno-7-23" href="#__codelineno-7-23"></a> prompt. \[default: 2]
<a id="__codelineno-7-24" name="__codelineno-7-24" href="#__codelineno-7-24"></a> --chunk-size INTEGER The max token count for prompt generation.
<a id="__codelineno-7-25" name="__codelineno-7-25" href="#__codelineno-7-25"></a> [default: 200]
<a id="__codelineno-7-25" name="__codelineno-7-25" href="#__codelineno-7-25"></a> \[default: 200]
<a id="__codelineno-7-26" name="__codelineno-7-26" href="#__codelineno-7-26"></a> --language TEXT The primary language used for inputs and
<a id="__codelineno-7-27" name="__codelineno-7-27" href="#__codelineno-7-27"></a> outputs in graphrag prompts.
<a id="__codelineno-7-28" name="__codelineno-7-28" href="#__codelineno-7-28"></a> --discover-entity-types / --no-discover-entity-types
<a id="__codelineno-7-29" name="__codelineno-7-29" href="#__codelineno-7-29"></a> Discover and extract unspecified entity
<a id="__codelineno-7-30" name="__codelineno-7-30" href="#__codelineno-7-30"></a> types. [default: discover-entity-types]
<a id="__codelineno-7-30" name="__codelineno-7-30" href="#__codelineno-7-30"></a> types. \[default: discover-entity-types]
<a id="__codelineno-7-31" name="__codelineno-7-31" href="#__codelineno-7-31"></a> --output PATH The directory to save prompts to, relative
<a id="__codelineno-7-32" name="__codelineno-7-32" href="#__codelineno-7-32"></a> to the project root directory. [default:
<a id="__codelineno-7-32" name="__codelineno-7-32" href="#__codelineno-7-32"></a> to the project root directory. \[default:
<a id="__codelineno-7-33" name="__codelineno-7-33" href="#__codelineno-7-33"></a> prompts]
</code></pre></div>
<h2 id="query">query</h2>
@ -1472,28 +1472,28 @@
<div class="highlight"><pre><span></span><code><a id="__codelineno-8-1" name="__codelineno-8-1" href="#__codelineno-8-1"></a> query [OPTIONS]
</code></pre></div>
<p>Options:</p>
<div class="highlight"><pre><span></span><code><a id="__codelineno-9-1" name="__codelineno-9-1" href="#__codelineno-9-1"></a> --method [local|global|drift] The query algorithm to use. [required]
<a id="__codelineno-9-2" name="__codelineno-9-2" href="#__codelineno-9-2"></a> --query TEXT The query to execute. [required]
<div class="highlight"><pre><span></span><code><a id="__codelineno-9-1" name="__codelineno-9-1" href="#__codelineno-9-1"></a> --method [local|global|drift] The query algorithm to use. \[required]
<a id="__codelineno-9-2" name="__codelineno-9-2" href="#__codelineno-9-2"></a> --query TEXT The query to execute. \[required]
<a id="__codelineno-9-3" name="__codelineno-9-3" href="#__codelineno-9-3"></a> --config PATH The configuration to use.
<a id="__codelineno-9-4" name="__codelineno-9-4" href="#__codelineno-9-4"></a> --data PATH Indexing pipeline output directory (i.e.
<a id="__codelineno-9-5" name="__codelineno-9-5" href="#__codelineno-9-5"></a> contains the parquet files).
<a id="__codelineno-9-6" name="__codelineno-9-6" href="#__codelineno-9-6"></a> --root PATH The project root directory. [default: .]
<a id="__codelineno-9-6" name="__codelineno-9-6" href="#__codelineno-9-6"></a> --root PATH The project root directory. \[default: .]
<a id="__codelineno-9-7" name="__codelineno-9-7" href="#__codelineno-9-7"></a> --community-level INTEGER The community level in the Leiden community
<a id="__codelineno-9-8" name="__codelineno-9-8" href="#__codelineno-9-8"></a> hierarchy from which to load community
<a id="__codelineno-9-9" name="__codelineno-9-9" href="#__codelineno-9-9"></a> reports. Higher values represent reports
<a id="__codelineno-9-10" name="__codelineno-9-10" href="#__codelineno-9-10"></a> from smaller communities. [default: 2]
<a id="__codelineno-9-10" name="__codelineno-9-10" href="#__codelineno-9-10"></a> from smaller communities. \[default: 2]
<a id="__codelineno-9-11" name="__codelineno-9-11" href="#__codelineno-9-11"></a> --dynamic-community-selection / --no-dynamic-community-selection
<a id="__codelineno-9-12" name="__codelineno-9-12" href="#__codelineno-9-12"></a> Use global search with dynamic community
<a id="__codelineno-9-13" name="__codelineno-9-13" href="#__codelineno-9-13"></a> selection. [default: no-dynamic-community-
<a id="__codelineno-9-13" name="__codelineno-9-13" href="#__codelineno-9-13"></a> selection. \[default: no-dynamic-community-
<a id="__codelineno-9-14" name="__codelineno-9-14" href="#__codelineno-9-14"></a> selection]
<a id="__codelineno-9-15" name="__codelineno-9-15" href="#__codelineno-9-15"></a> --response-type TEXT Free form text describing the response type
<a id="__codelineno-9-16" name="__codelineno-9-16" href="#__codelineno-9-16"></a> and format, can be anything, e.g. Multiple
<a id="__codelineno-9-17" name="__codelineno-9-17" href="#__codelineno-9-17"></a> Paragraphs, Single Paragraph, Single
<a id="__codelineno-9-18" name="__codelineno-9-18" href="#__codelineno-9-18"></a> Sentence, List of 3-7 Points, Single Page,
<a id="__codelineno-9-19" name="__codelineno-9-19" href="#__codelineno-9-19"></a> Multi-Page Report. Default: Multiple
<a id="__codelineno-9-20" name="__codelineno-9-20" href="#__codelineno-9-20"></a> Paragraphs [default: Multiple Paragraphs]
<a id="__codelineno-9-20" name="__codelineno-9-20" href="#__codelineno-9-20"></a> Paragraphs \[default: Multiple Paragraphs]
<a id="__codelineno-9-21" name="__codelineno-9-21" href="#__codelineno-9-21"></a> --streaming / --no-streaming Print response in a streaming manner.
<a id="__codelineno-9-22" name="__codelineno-9-22" href="#__codelineno-9-22"></a> [default: no-streaming]
<a id="__codelineno-9-22" name="__codelineno-9-22" href="#__codelineno-9-22"></a> \[default: no-streaming]
</code></pre></div>
<h2 id="update">update</h2>
<p>Update an existing knowledge graph index.</p>
@ -1503,17 +1503,17 @@
</code></pre></div>
<p>Options:</p>
<div class="highlight"><pre><span></span><code><a id="__codelineno-11-1" name="__codelineno-11-1" href="#__codelineno-11-1"></a> --config PATH The configuration to use.
<a id="__codelineno-11-2" name="__codelineno-11-2" href="#__codelineno-11-2"></a> --root PATH The project root directory. [default: .]
<a id="__codelineno-11-2" name="__codelineno-11-2" href="#__codelineno-11-2"></a> --root PATH The project root directory. \[default: .]
<a id="__codelineno-11-3" name="__codelineno-11-3" href="#__codelineno-11-3"></a> --verbose / --no-verbose Run the indexing pipeline with verbose
<a id="__codelineno-11-4" name="__codelineno-11-4" href="#__codelineno-11-4"></a> logging [default: no-verbose]
<a id="__codelineno-11-4" name="__codelineno-11-4" href="#__codelineno-11-4"></a> logging \[default: no-verbose]
<a id="__codelineno-11-5" name="__codelineno-11-5" href="#__codelineno-11-5"></a> --memprofile / --no-memprofile Run the indexing pipeline with memory
<a id="__codelineno-11-6" name="__codelineno-11-6" href="#__codelineno-11-6"></a> profiling [default: no-memprofile]
<a id="__codelineno-11-7" name="__codelineno-11-7" href="#__codelineno-11-7"></a> --reporter [rich|print|none] The progress reporter to use. [default:
<a id="__codelineno-11-6" name="__codelineno-11-6" href="#__codelineno-11-6"></a> profiling \[default: no-memprofile]
<a id="__codelineno-11-7" name="__codelineno-11-7" href="#__codelineno-11-7"></a> --reporter [rich|print|none] The progress reporter to use. \[default:
<a id="__codelineno-11-8" name="__codelineno-11-8" href="#__codelineno-11-8"></a> rich]
<a id="__codelineno-11-9" name="__codelineno-11-9" href="#__codelineno-11-9"></a> --cache / --no-cache Use LLM cache. [default: cache]
<a id="__codelineno-11-9" name="__codelineno-11-9" href="#__codelineno-11-9"></a> --cache / --no-cache Use LLM cache. \[default: cache]
<a id="__codelineno-11-10" name="__codelineno-11-10" href="#__codelineno-11-10"></a> --skip-validation / --no-skip-validation
<a id="__codelineno-11-11" name="__codelineno-11-11" href="#__codelineno-11-11"></a> Skip any preflight validation. Useful when
<a id="__codelineno-11-12" name="__codelineno-11-12" href="#__codelineno-11-12"></a> running no LLM steps. [default: no-skip-
<a id="__codelineno-11-12" name="__codelineno-11-12" href="#__codelineno-11-12"></a> running no LLM steps. \[default: no-skip-
<a id="__codelineno-11-13" name="__codelineno-11-13" href="#__codelineno-11-13"></a> validation]
<a id="__codelineno-11-14" name="__codelineno-11-14" href="#__codelineno-11-14"></a> --output PATH Indexing pipeline output directory.
<a id="__codelineno-11-15" name="__codelineno-11-15" href="#__codelineno-11-15"></a> Overrides storage.base_dir in the

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@ -2015,7 +2015,7 @@ Text unit records: 50
<div class="jp-OutputArea-child">
<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="application/vnd.jupyter.stderr" tabindex="0">
<pre>[2024-12-06T19:06:05Z WARN lance::dataset] No existing dataset at /home/runner/work/graphrag/graphrag/docs/examples_notebooks/inputs/operation dulce/lancedb/default-entity-description.lance, it will be created
<pre>[2024-12-06T20:09:24Z WARN lance::dataset::write::insert] No existing dataset at /home/runner/work/graphrag/graphrag/docs/examples_notebooks/inputs/operation dulce/lancedb/default-entity-description.lance, it will be created
</pre>
</div>
</div>

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@ -2615,133 +2615,133 @@ Traceback (most recent call last):
File "/home/runner/.cache/pypoetry/virtualenvs/graphrag-F2jvqev7-py3.11/lib/python3.11/site-packages/openai/resources/chat/completions.py", line 1661, in create
return await self._post(
^^^^^^^^^^^^^^^^^
File "/home/runner/.cache/pypoetry/virtualenvs/graphrag-F2jvqev7-py3.11/lib/python3.11/site-packages/openai/_base_client.py", line 1838, in post
File "/home/runner/.cache/pypoetry/virtualenvs/graphrag-F2jvqev7-py3.11/lib/python3.11/site-packages/openai/_base_client.py", line 1843, in post
return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/.cache/pypoetry/virtualenvs/graphrag-F2jvqev7-py3.11/lib/python3.11/site-packages/openai/_base_client.py", line 1532, in request
File "/home/runner/.cache/pypoetry/virtualenvs/graphrag-F2jvqev7-py3.11/lib/python3.11/site-packages/openai/_base_client.py", line 1537, in request
return await self._request(
^^^^^^^^^^^^^^^^^^^^
File "/home/runner/.cache/pypoetry/virtualenvs/graphrag-F2jvqev7-py3.11/lib/python3.11/site-packages/openai/_base_client.py", line 1618, in _request
File "/home/runner/.cache/pypoetry/virtualenvs/graphrag-F2jvqev7-py3.11/lib/python3.11/site-packages/openai/_base_client.py", line 1623, in _request
return await self._retry_request(
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/.cache/pypoetry/virtualenvs/graphrag-F2jvqev7-py3.11/lib/python3.11/site-packages/openai/_base_client.py", line 1665, in _retry_request
File "/home/runner/.cache/pypoetry/virtualenvs/graphrag-F2jvqev7-py3.11/lib/python3.11/site-packages/openai/_base_client.py", line 1670, in _retry_request
return await self._request(
^^^^^^^^^^^^^^^^^^^^
File "/home/runner/.cache/pypoetry/virtualenvs/graphrag-F2jvqev7-py3.11/lib/python3.11/site-packages/openai/_base_client.py", line 1618, in _request
File "/home/runner/.cache/pypoetry/virtualenvs/graphrag-F2jvqev7-py3.11/lib/python3.11/site-packages/openai/_base_client.py", line 1623, in _request
return await self._retry_request(
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/.cache/pypoetry/virtualenvs/graphrag-F2jvqev7-py3.11/lib/python3.11/site-packages/openai/_base_client.py", line 1665, in _retry_request
File "/home/runner/.cache/pypoetry/virtualenvs/graphrag-F2jvqev7-py3.11/lib/python3.11/site-packages/openai/_base_client.py", line 1670, in _retry_request
return await self._request(
^^^^^^^^^^^^^^^^^^^^
File "/home/runner/.cache/pypoetry/virtualenvs/graphrag-F2jvqev7-py3.11/lib/python3.11/site-packages/openai/_base_client.py", line 1618, in _request
File "/home/runner/.cache/pypoetry/virtualenvs/graphrag-F2jvqev7-py3.11/lib/python3.11/site-packages/openai/_base_client.py", line 1623, in _request
return await self._retry_request(
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/.cache/pypoetry/virtualenvs/graphrag-F2jvqev7-py3.11/lib/python3.11/site-packages/openai/_base_client.py", line 1665, in _retry_request
File "/home/runner/.cache/pypoetry/virtualenvs/graphrag-F2jvqev7-py3.11/lib/python3.11/site-packages/openai/_base_client.py", line 1670, in _retry_request
return await self._request(
^^^^^^^^^^^^^^^^^^^^
File "/home/runner/.cache/pypoetry/virtualenvs/graphrag-F2jvqev7-py3.11/lib/python3.11/site-packages/openai/_base_client.py", line 1618, in _request
File "/home/runner/.cache/pypoetry/virtualenvs/graphrag-F2jvqev7-py3.11/lib/python3.11/site-packages/openai/_base_client.py", line 1623, in _request
return await self._retry_request(
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/.cache/pypoetry/virtualenvs/graphrag-F2jvqev7-py3.11/lib/python3.11/site-packages/openai/_base_client.py", line 1665, in _retry_request
File "/home/runner/.cache/pypoetry/virtualenvs/graphrag-F2jvqev7-py3.11/lib/python3.11/site-packages/openai/_base_client.py", line 1670, in _retry_request
return await self._request(
^^^^^^^^^^^^^^^^^^^^
File "/home/runner/.cache/pypoetry/virtualenvs/graphrag-F2jvqev7-py3.11/lib/python3.11/site-packages/openai/_base_client.py", line 1618, in _request
File "/home/runner/.cache/pypoetry/virtualenvs/graphrag-F2jvqev7-py3.11/lib/python3.11/site-packages/openai/_base_client.py", line 1623, in _request
return await self._retry_request(
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/.cache/pypoetry/virtualenvs/graphrag-F2jvqev7-py3.11/lib/python3.11/site-packages/openai/_base_client.py", line 1665, in _retry_request
File "/home/runner/.cache/pypoetry/virtualenvs/graphrag-F2jvqev7-py3.11/lib/python3.11/site-packages/openai/_base_client.py", line 1670, in _retry_request
return await self._request(
^^^^^^^^^^^^^^^^^^^^
File "/home/runner/.cache/pypoetry/virtualenvs/graphrag-F2jvqev7-py3.11/lib/python3.11/site-packages/openai/_base_client.py", line 1618, in _request
File "/home/runner/.cache/pypoetry/virtualenvs/graphrag-F2jvqev7-py3.11/lib/python3.11/site-packages/openai/_base_client.py", line 1623, in _request
return await self._retry_request(
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/.cache/pypoetry/virtualenvs/graphrag-F2jvqev7-py3.11/lib/python3.11/site-packages/openai/_base_client.py", line 1665, in _retry_request
File "/home/runner/.cache/pypoetry/virtualenvs/graphrag-F2jvqev7-py3.11/lib/python3.11/site-packages/openai/_base_client.py", line 1670, in _retry_request
return await self._request(
^^^^^^^^^^^^^^^^^^^^
File "/home/runner/.cache/pypoetry/virtualenvs/graphrag-F2jvqev7-py3.11/lib/python3.11/site-packages/openai/_base_client.py", line 1618, in _request
File "/home/runner/.cache/pypoetry/virtualenvs/graphrag-F2jvqev7-py3.11/lib/python3.11/site-packages/openai/_base_client.py", line 1623, in _request
return await self._retry_request(
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/.cache/pypoetry/virtualenvs/graphrag-F2jvqev7-py3.11/lib/python3.11/site-packages/openai/_base_client.py", line 1665, in _retry_request
File "/home/runner/.cache/pypoetry/virtualenvs/graphrag-F2jvqev7-py3.11/lib/python3.11/site-packages/openai/_base_client.py", line 1670, in _retry_request
return await self._request(
^^^^^^^^^^^^^^^^^^^^
File "/home/runner/.cache/pypoetry/virtualenvs/graphrag-F2jvqev7-py3.11/lib/python3.11/site-packages/openai/_base_client.py", line 1618, in _request
File "/home/runner/.cache/pypoetry/virtualenvs/graphrag-F2jvqev7-py3.11/lib/python3.11/site-packages/openai/_base_client.py", line 1623, in _request
return await self._retry_request(
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/.cache/pypoetry/virtualenvs/graphrag-F2jvqev7-py3.11/lib/python3.11/site-packages/openai/_base_client.py", line 1665, in _retry_request
File "/home/runner/.cache/pypoetry/virtualenvs/graphrag-F2jvqev7-py3.11/lib/python3.11/site-packages/openai/_base_client.py", line 1670, in _retry_request
return await self._request(
^^^^^^^^^^^^^^^^^^^^
File "/home/runner/.cache/pypoetry/virtualenvs/graphrag-F2jvqev7-py3.11/lib/python3.11/site-packages/openai/_base_client.py", line 1618, in _request
File "/home/runner/.cache/pypoetry/virtualenvs/graphrag-F2jvqev7-py3.11/lib/python3.11/site-packages/openai/_base_client.py", line 1623, in _request
return await self._retry_request(
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/.cache/pypoetry/virtualenvs/graphrag-F2jvqev7-py3.11/lib/python3.11/site-packages/openai/_base_client.py", line 1665, in _retry_request
File "/home/runner/.cache/pypoetry/virtualenvs/graphrag-F2jvqev7-py3.11/lib/python3.11/site-packages/openai/_base_client.py", line 1670, in _retry_request
return await self._request(
^^^^^^^^^^^^^^^^^^^^
File "/home/runner/.cache/pypoetry/virtualenvs/graphrag-F2jvqev7-py3.11/lib/python3.11/site-packages/openai/_base_client.py", line 1618, in _request
File "/home/runner/.cache/pypoetry/virtualenvs/graphrag-F2jvqev7-py3.11/lib/python3.11/site-packages/openai/_base_client.py", line 1623, in _request
return await self._retry_request(
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/.cache/pypoetry/virtualenvs/graphrag-F2jvqev7-py3.11/lib/python3.11/site-packages/openai/_base_client.py", line 1665, in _retry_request
File "/home/runner/.cache/pypoetry/virtualenvs/graphrag-F2jvqev7-py3.11/lib/python3.11/site-packages/openai/_base_client.py", line 1670, in _retry_request
return await self._request(
^^^^^^^^^^^^^^^^^^^^
File "/home/runner/.cache/pypoetry/virtualenvs/graphrag-F2jvqev7-py3.11/lib/python3.11/site-packages/openai/_base_client.py", line 1618, in _request
File "/home/runner/.cache/pypoetry/virtualenvs/graphrag-F2jvqev7-py3.11/lib/python3.11/site-packages/openai/_base_client.py", line 1623, in _request
return await self._retry_request(
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/.cache/pypoetry/virtualenvs/graphrag-F2jvqev7-py3.11/lib/python3.11/site-packages/openai/_base_client.py", line 1665, in _retry_request
File "/home/runner/.cache/pypoetry/virtualenvs/graphrag-F2jvqev7-py3.11/lib/python3.11/site-packages/openai/_base_client.py", line 1670, in _retry_request
return await self._request(
^^^^^^^^^^^^^^^^^^^^
File "/home/runner/.cache/pypoetry/virtualenvs/graphrag-F2jvqev7-py3.11/lib/python3.11/site-packages/openai/_base_client.py", line 1618, in _request
File "/home/runner/.cache/pypoetry/virtualenvs/graphrag-F2jvqev7-py3.11/lib/python3.11/site-packages/openai/_base_client.py", line 1623, in _request
return await self._retry_request(
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/.cache/pypoetry/virtualenvs/graphrag-F2jvqev7-py3.11/lib/python3.11/site-packages/openai/_base_client.py", line 1665, in _retry_request
File "/home/runner/.cache/pypoetry/virtualenvs/graphrag-F2jvqev7-py3.11/lib/python3.11/site-packages/openai/_base_client.py", line 1670, in _retry_request
return await self._request(
^^^^^^^^^^^^^^^^^^^^
File "/home/runner/.cache/pypoetry/virtualenvs/graphrag-F2jvqev7-py3.11/lib/python3.11/site-packages/openai/_base_client.py", line 1618, in _request
File "/home/runner/.cache/pypoetry/virtualenvs/graphrag-F2jvqev7-py3.11/lib/python3.11/site-packages/openai/_base_client.py", line 1623, in _request
return await self._retry_request(
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/.cache/pypoetry/virtualenvs/graphrag-F2jvqev7-py3.11/lib/python3.11/site-packages/openai/_base_client.py", line 1665, in _retry_request
File "/home/runner/.cache/pypoetry/virtualenvs/graphrag-F2jvqev7-py3.11/lib/python3.11/site-packages/openai/_base_client.py", line 1670, in _retry_request
return await self._request(
^^^^^^^^^^^^^^^^^^^^
File "/home/runner/.cache/pypoetry/virtualenvs/graphrag-F2jvqev7-py3.11/lib/python3.11/site-packages/openai/_base_client.py", line 1618, in _request
File "/home/runner/.cache/pypoetry/virtualenvs/graphrag-F2jvqev7-py3.11/lib/python3.11/site-packages/openai/_base_client.py", line 1623, in _request
return await self._retry_request(
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/.cache/pypoetry/virtualenvs/graphrag-F2jvqev7-py3.11/lib/python3.11/site-packages/openai/_base_client.py", line 1665, in _retry_request
File "/home/runner/.cache/pypoetry/virtualenvs/graphrag-F2jvqev7-py3.11/lib/python3.11/site-packages/openai/_base_client.py", line 1670, in _retry_request
return await self._request(
^^^^^^^^^^^^^^^^^^^^
File "/home/runner/.cache/pypoetry/virtualenvs/graphrag-F2jvqev7-py3.11/lib/python3.11/site-packages/openai/_base_client.py", line 1618, in _request
File "/home/runner/.cache/pypoetry/virtualenvs/graphrag-F2jvqev7-py3.11/lib/python3.11/site-packages/openai/_base_client.py", line 1623, in _request
return await self._retry_request(
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/.cache/pypoetry/virtualenvs/graphrag-F2jvqev7-py3.11/lib/python3.11/site-packages/openai/_base_client.py", line 1665, in _retry_request
File "/home/runner/.cache/pypoetry/virtualenvs/graphrag-F2jvqev7-py3.11/lib/python3.11/site-packages/openai/_base_client.py", line 1670, in _retry_request
return await self._request(
^^^^^^^^^^^^^^^^^^^^
File "/home/runner/.cache/pypoetry/virtualenvs/graphrag-F2jvqev7-py3.11/lib/python3.11/site-packages/openai/_base_client.py", line 1618, in _request
File "/home/runner/.cache/pypoetry/virtualenvs/graphrag-F2jvqev7-py3.11/lib/python3.11/site-packages/openai/_base_client.py", line 1623, in _request
return await self._retry_request(
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/.cache/pypoetry/virtualenvs/graphrag-F2jvqev7-py3.11/lib/python3.11/site-packages/openai/_base_client.py", line 1665, in _retry_request
File "/home/runner/.cache/pypoetry/virtualenvs/graphrag-F2jvqev7-py3.11/lib/python3.11/site-packages/openai/_base_client.py", line 1670, in _retry_request
return await self._request(
^^^^^^^^^^^^^^^^^^^^
File "/home/runner/.cache/pypoetry/virtualenvs/graphrag-F2jvqev7-py3.11/lib/python3.11/site-packages/openai/_base_client.py", line 1618, in _request
File "/home/runner/.cache/pypoetry/virtualenvs/graphrag-F2jvqev7-py3.11/lib/python3.11/site-packages/openai/_base_client.py", line 1623, in _request
return await self._retry_request(
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/.cache/pypoetry/virtualenvs/graphrag-F2jvqev7-py3.11/lib/python3.11/site-packages/openai/_base_client.py", line 1665, in _retry_request
File "/home/runner/.cache/pypoetry/virtualenvs/graphrag-F2jvqev7-py3.11/lib/python3.11/site-packages/openai/_base_client.py", line 1670, in _retry_request
return await self._request(
^^^^^^^^^^^^^^^^^^^^
File "/home/runner/.cache/pypoetry/virtualenvs/graphrag-F2jvqev7-py3.11/lib/python3.11/site-packages/openai/_base_client.py", line 1618, in _request
File "/home/runner/.cache/pypoetry/virtualenvs/graphrag-F2jvqev7-py3.11/lib/python3.11/site-packages/openai/_base_client.py", line 1623, in _request
return await self._retry_request(
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/.cache/pypoetry/virtualenvs/graphrag-F2jvqev7-py3.11/lib/python3.11/site-packages/openai/_base_client.py", line 1665, in _retry_request
File "/home/runner/.cache/pypoetry/virtualenvs/graphrag-F2jvqev7-py3.11/lib/python3.11/site-packages/openai/_base_client.py", line 1670, in _retry_request
return await self._request(
^^^^^^^^^^^^^^^^^^^^
File "/home/runner/.cache/pypoetry/virtualenvs/graphrag-F2jvqev7-py3.11/lib/python3.11/site-packages/openai/_base_client.py", line 1618, in _request
File "/home/runner/.cache/pypoetry/virtualenvs/graphrag-F2jvqev7-py3.11/lib/python3.11/site-packages/openai/_base_client.py", line 1623, in _request
return await self._retry_request(
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/.cache/pypoetry/virtualenvs/graphrag-F2jvqev7-py3.11/lib/python3.11/site-packages/openai/_base_client.py", line 1665, in _retry_request
File "/home/runner/.cache/pypoetry/virtualenvs/graphrag-F2jvqev7-py3.11/lib/python3.11/site-packages/openai/_base_client.py", line 1670, in _retry_request
return await self._request(
^^^^^^^^^^^^^^^^^^^^
File "/home/runner/.cache/pypoetry/virtualenvs/graphrag-F2jvqev7-py3.11/lib/python3.11/site-packages/openai/_base_client.py", line 1618, in _request
File "/home/runner/.cache/pypoetry/virtualenvs/graphrag-F2jvqev7-py3.11/lib/python3.11/site-packages/openai/_base_client.py", line 1623, in _request
return await self._retry_request(
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/.cache/pypoetry/virtualenvs/graphrag-F2jvqev7-py3.11/lib/python3.11/site-packages/openai/_base_client.py", line 1665, in _retry_request
File "/home/runner/.cache/pypoetry/virtualenvs/graphrag-F2jvqev7-py3.11/lib/python3.11/site-packages/openai/_base_client.py", line 1670, in _retry_request
return await self._request(
^^^^^^^^^^^^^^^^^^^^
File "/home/runner/.cache/pypoetry/virtualenvs/graphrag-F2jvqev7-py3.11/lib/python3.11/site-packages/openai/_base_client.py", line 1633, in _request
File "/home/runner/.cache/pypoetry/virtualenvs/graphrag-F2jvqev7-py3.11/lib/python3.11/site-packages/openai/_base_client.py", line 1638, in _request
raise self._make_status_error_from_response(err.response) from None
openai.RateLimitError: Error code: 429 - {'error': {'message': 'You exceeded your current quota, please check your plan and billing details. For more information on this error, read the docs: https://platform.openai.com/docs/guides/error-codes/api-errors.', 'type': 'insufficient_quota', 'param': None, 'code': 'insufficient_quota'}}
</pre>

View File

@ -2736,119 +2736,119 @@ File <span class="ansi-green-fg">~/.cache/pypoetry/virtualenvs/graphrag-F2jvqev7
<span class="ansi-green-intense-fg ansi-bold"> 1702</span> stream_cls<span style="color: rgb(98,98,98)">=</span>AsyncStream[ChatCompletionChunk],
<span class="ansi-green-intense-fg ansi-bold"> 1703</span> )
File <span class="ansi-green-fg">~/.cache/pypoetry/virtualenvs/graphrag-F2jvqev7-py3.11/lib/python3.11/site-packages/openai/_base_client.py:1838</span>, in <span class="ansi-cyan-fg">AsyncAPIClient.post</span><span class="ansi-blue-fg">(self, path, cast_to, body, files, options, stream, stream_cls)</span>
<span class="ansi-green-intense-fg ansi-bold"> 1824</span> <span class="ansi-bold" style="color: rgb(0,135,0)">async</span> <span class="ansi-bold" style="color: rgb(0,135,0)">def</span> <span style="color: rgb(0,0,255)">post</span>(
<span class="ansi-green-intense-fg ansi-bold"> 1825</span> <span style="color: rgb(0,135,0)">self</span>,
<span class="ansi-green-intense-fg ansi-bold"> 1826</span> path: <span style="color: rgb(0,135,0)">str</span>,
File <span class="ansi-green-fg">~/.cache/pypoetry/virtualenvs/graphrag-F2jvqev7-py3.11/lib/python3.11/site-packages/openai/_base_client.py:1843</span>, in <span class="ansi-cyan-fg">AsyncAPIClient.post</span><span class="ansi-blue-fg">(self, path, cast_to, body, files, options, stream, stream_cls)</span>
<span class="ansi-green-intense-fg ansi-bold"> 1829</span> <span class="ansi-bold" style="color: rgb(0,135,0)">async</span> <span class="ansi-bold" style="color: rgb(0,135,0)">def</span> <span style="color: rgb(0,0,255)">post</span>(
<span class="ansi-green-intense-fg ansi-bold"> 1830</span> <span style="color: rgb(0,135,0)">self</span>,
<span class="ansi-green-intense-fg ansi-bold"> 1831</span> path: <span style="color: rgb(0,135,0)">str</span>,
<span class="ansi-green-fg"> (...)</span>
<span class="ansi-green-intense-fg ansi-bold"> 1833</span> stream_cls: <span style="color: rgb(0,135,0)">type</span>[_AsyncStreamT] <span style="color: rgb(98,98,98)">|</span> <span class="ansi-bold" style="color: rgb(0,135,0)">None</span> <span style="color: rgb(98,98,98)">=</span> <span class="ansi-bold" style="color: rgb(0,135,0)">None</span>,
<span class="ansi-green-intense-fg ansi-bold"> 1834</span> ) <span style="color: rgb(98,98,98)">-</span><span style="color: rgb(98,98,98)">&gt;</span> ResponseT <span style="color: rgb(98,98,98)">|</span> _AsyncStreamT:
<span class="ansi-green-intense-fg ansi-bold"> 1835</span> opts <span style="color: rgb(98,98,98)">=</span> FinalRequestOptions<span style="color: rgb(98,98,98)">.</span>construct(
<span class="ansi-green-intense-fg ansi-bold"> 1836</span> method<span style="color: rgb(98,98,98)">=</span><span style="color: rgb(175,0,0)">"</span><span style="color: rgb(175,0,0)">post</span><span style="color: rgb(175,0,0)">"</span>, url<span style="color: rgb(98,98,98)">=</span>path, json_data<span style="color: rgb(98,98,98)">=</span>body, files<span style="color: rgb(98,98,98)">=</span><span class="ansi-bold" style="color: rgb(0,135,0)">await</span> async_to_httpx_files(files), <span style="color: rgb(98,98,98)">*</span><span style="color: rgb(98,98,98)">*</span>options
<span class="ansi-green-intense-fg ansi-bold"> 1837</span> )
<span class="ansi-green-fg">-&gt; 1838</span> <span class="ansi-bold" style="color: rgb(0,135,0)">return</span> <span class="ansi-bold" style="color: rgb(0,135,0)">await</span> <span style="color: rgb(0,135,0)">self</span><span style="color: rgb(98,98,98)">.</span>request(cast_to, opts, stream<span style="color: rgb(98,98,98)">=</span>stream, stream_cls<span style="color: rgb(98,98,98)">=</span>stream_cls)
<span class="ansi-green-intense-fg ansi-bold"> 1838</span> stream_cls: <span style="color: rgb(0,135,0)">type</span>[_AsyncStreamT] <span style="color: rgb(98,98,98)">|</span> <span class="ansi-bold" style="color: rgb(0,135,0)">None</span> <span style="color: rgb(98,98,98)">=</span> <span class="ansi-bold" style="color: rgb(0,135,0)">None</span>,
<span class="ansi-green-intense-fg ansi-bold"> 1839</span> ) <span style="color: rgb(98,98,98)">-</span><span style="color: rgb(98,98,98)">&gt;</span> ResponseT <span style="color: rgb(98,98,98)">|</span> _AsyncStreamT:
<span class="ansi-green-intense-fg ansi-bold"> 1840</span> opts <span style="color: rgb(98,98,98)">=</span> FinalRequestOptions<span style="color: rgb(98,98,98)">.</span>construct(
<span class="ansi-green-intense-fg ansi-bold"> 1841</span> method<span style="color: rgb(98,98,98)">=</span><span style="color: rgb(175,0,0)">"</span><span style="color: rgb(175,0,0)">post</span><span style="color: rgb(175,0,0)">"</span>, url<span style="color: rgb(98,98,98)">=</span>path, json_data<span style="color: rgb(98,98,98)">=</span>body, files<span style="color: rgb(98,98,98)">=</span><span class="ansi-bold" style="color: rgb(0,135,0)">await</span> async_to_httpx_files(files), <span style="color: rgb(98,98,98)">*</span><span style="color: rgb(98,98,98)">*</span>options
<span class="ansi-green-intense-fg ansi-bold"> 1842</span> )
<span class="ansi-green-fg">-&gt; 1843</span> <span class="ansi-bold" style="color: rgb(0,135,0)">return</span> <span class="ansi-bold" style="color: rgb(0,135,0)">await</span> <span style="color: rgb(0,135,0)">self</span><span style="color: rgb(98,98,98)">.</span>request(cast_to, opts, stream<span style="color: rgb(98,98,98)">=</span>stream, stream_cls<span style="color: rgb(98,98,98)">=</span>stream_cls)
File <span class="ansi-green-fg">~/.cache/pypoetry/virtualenvs/graphrag-F2jvqev7-py3.11/lib/python3.11/site-packages/openai/_base_client.py:1532</span>, in <span class="ansi-cyan-fg">AsyncAPIClient.request</span><span class="ansi-blue-fg">(self, cast_to, options, stream, stream_cls, remaining_retries)</span>
<span class="ansi-green-intense-fg ansi-bold"> 1529</span> <span class="ansi-bold" style="color: rgb(0,135,0)">else</span>:
<span class="ansi-green-intense-fg ansi-bold"> 1530</span> retries_taken <span style="color: rgb(98,98,98)">=</span> <span style="color: rgb(98,98,98)">0</span>
<span class="ansi-green-fg">-&gt; 1532</span> <span class="ansi-bold" style="color: rgb(0,135,0)">return</span> <span class="ansi-bold" style="color: rgb(0,135,0)">await</span> <span style="color: rgb(0,135,0)">self</span><span style="color: rgb(98,98,98)">.</span>_request(
<span class="ansi-green-intense-fg ansi-bold"> 1533</span> cast_to<span style="color: rgb(98,98,98)">=</span>cast_to,
<span class="ansi-green-intense-fg ansi-bold"> 1534</span> options<span style="color: rgb(98,98,98)">=</span>options,
<span class="ansi-green-intense-fg ansi-bold"> 1535</span> stream<span style="color: rgb(98,98,98)">=</span>stream,
<span class="ansi-green-intense-fg ansi-bold"> 1536</span> stream_cls<span style="color: rgb(98,98,98)">=</span>stream_cls,
<span class="ansi-green-intense-fg ansi-bold"> 1537</span> retries_taken<span style="color: rgb(98,98,98)">=</span>retries_taken,
<span class="ansi-green-intense-fg ansi-bold"> 1538</span> )
File <span class="ansi-green-fg">~/.cache/pypoetry/virtualenvs/graphrag-F2jvqev7-py3.11/lib/python3.11/site-packages/openai/_base_client.py:1537</span>, in <span class="ansi-cyan-fg">AsyncAPIClient.request</span><span class="ansi-blue-fg">(self, cast_to, options, stream, stream_cls, remaining_retries)</span>
<span class="ansi-green-intense-fg ansi-bold"> 1534</span> <span class="ansi-bold" style="color: rgb(0,135,0)">else</span>:
<span class="ansi-green-intense-fg ansi-bold"> 1535</span> retries_taken <span style="color: rgb(98,98,98)">=</span> <span style="color: rgb(98,98,98)">0</span>
<span class="ansi-green-fg">-&gt; 1537</span> <span class="ansi-bold" style="color: rgb(0,135,0)">return</span> <span class="ansi-bold" style="color: rgb(0,135,0)">await</span> <span style="color: rgb(0,135,0)">self</span><span style="color: rgb(98,98,98)">.</span>_request(
<span class="ansi-green-intense-fg ansi-bold"> 1538</span> cast_to<span style="color: rgb(98,98,98)">=</span>cast_to,
<span class="ansi-green-intense-fg ansi-bold"> 1539</span> options<span style="color: rgb(98,98,98)">=</span>options,
<span class="ansi-green-intense-fg ansi-bold"> 1540</span> stream<span style="color: rgb(98,98,98)">=</span>stream,
<span class="ansi-green-intense-fg ansi-bold"> 1541</span> stream_cls<span style="color: rgb(98,98,98)">=</span>stream_cls,
<span class="ansi-green-intense-fg ansi-bold"> 1542</span> retries_taken<span style="color: rgb(98,98,98)">=</span>retries_taken,
<span class="ansi-green-intense-fg ansi-bold"> 1543</span> )
File <span class="ansi-green-fg">~/.cache/pypoetry/virtualenvs/graphrag-F2jvqev7-py3.11/lib/python3.11/site-packages/openai/_base_client.py:1618</span>, in <span class="ansi-cyan-fg">AsyncAPIClient._request</span><span class="ansi-blue-fg">(self, cast_to, options, stream, stream_cls, retries_taken)</span>
<span class="ansi-green-intense-fg ansi-bold"> 1616</span> <span class="ansi-bold" style="color: rgb(0,135,0)">if</span> remaining_retries <span style="color: rgb(98,98,98)">&gt;</span> <span style="color: rgb(98,98,98)">0</span> <span class="ansi-bold" style="color: rgb(175,0,255)">and</span> <span style="color: rgb(0,135,0)">self</span><span style="color: rgb(98,98,98)">.</span>_should_retry(err<span style="color: rgb(98,98,98)">.</span>response):
<span class="ansi-green-intense-fg ansi-bold"> 1617</span> <span class="ansi-bold" style="color: rgb(0,135,0)">await</span> err<span style="color: rgb(98,98,98)">.</span>response<span style="color: rgb(98,98,98)">.</span>aclose()
<span class="ansi-green-fg">-&gt; 1618</span> <span class="ansi-bold" style="color: rgb(0,135,0)">return</span> <span class="ansi-bold" style="color: rgb(0,135,0)">await</span> <span style="color: rgb(0,135,0)">self</span><span style="color: rgb(98,98,98)">.</span>_retry_request(
<span class="ansi-green-intense-fg ansi-bold"> 1619</span> input_options,
<span class="ansi-green-intense-fg ansi-bold"> 1620</span> cast_to,
<span class="ansi-green-intense-fg ansi-bold"> 1621</span> retries_taken<span style="color: rgb(98,98,98)">=</span>retries_taken,
<span class="ansi-green-intense-fg ansi-bold"> 1622</span> response_headers<span style="color: rgb(98,98,98)">=</span>err<span style="color: rgb(98,98,98)">.</span>response<span style="color: rgb(98,98,98)">.</span>headers,
<span class="ansi-green-intense-fg ansi-bold"> 1623</span> stream<span style="color: rgb(98,98,98)">=</span>stream,
<span class="ansi-green-intense-fg ansi-bold"> 1624</span> stream_cls<span style="color: rgb(98,98,98)">=</span>stream_cls,
<span class="ansi-green-intense-fg ansi-bold"> 1625</span> )
<span class="ansi-green-intense-fg ansi-bold"> 1627</span> <span style="color: rgb(95,135,135)"># If the response is streamed then we need to explicitly read the response</span>
<span class="ansi-green-intense-fg ansi-bold"> 1628</span> <span style="color: rgb(95,135,135)"># to completion before attempting to access the response text.</span>
<span class="ansi-green-intense-fg ansi-bold"> 1629</span> <span class="ansi-bold" style="color: rgb(0,135,0)">if</span> <span class="ansi-bold" style="color: rgb(175,0,255)">not</span> err<span style="color: rgb(98,98,98)">.</span>response<span style="color: rgb(98,98,98)">.</span>is_closed:
File <span class="ansi-green-fg">~/.cache/pypoetry/virtualenvs/graphrag-F2jvqev7-py3.11/lib/python3.11/site-packages/openai/_base_client.py:1623</span>, in <span class="ansi-cyan-fg">AsyncAPIClient._request</span><span class="ansi-blue-fg">(self, cast_to, options, stream, stream_cls, retries_taken)</span>
<span class="ansi-green-intense-fg ansi-bold"> 1621</span> <span class="ansi-bold" style="color: rgb(0,135,0)">if</span> remaining_retries <span style="color: rgb(98,98,98)">&gt;</span> <span style="color: rgb(98,98,98)">0</span> <span class="ansi-bold" style="color: rgb(175,0,255)">and</span> <span style="color: rgb(0,135,0)">self</span><span style="color: rgb(98,98,98)">.</span>_should_retry(err<span style="color: rgb(98,98,98)">.</span>response):
<span class="ansi-green-intense-fg ansi-bold"> 1622</span> <span class="ansi-bold" style="color: rgb(0,135,0)">await</span> err<span style="color: rgb(98,98,98)">.</span>response<span style="color: rgb(98,98,98)">.</span>aclose()
<span class="ansi-green-fg">-&gt; 1623</span> <span class="ansi-bold" style="color: rgb(0,135,0)">return</span> <span class="ansi-bold" style="color: rgb(0,135,0)">await</span> <span style="color: rgb(0,135,0)">self</span><span style="color: rgb(98,98,98)">.</span>_retry_request(
<span class="ansi-green-intense-fg ansi-bold"> 1624</span> input_options,
<span class="ansi-green-intense-fg ansi-bold"> 1625</span> cast_to,
<span class="ansi-green-intense-fg ansi-bold"> 1626</span> retries_taken<span style="color: rgb(98,98,98)">=</span>retries_taken,
<span class="ansi-green-intense-fg ansi-bold"> 1627</span> response_headers<span style="color: rgb(98,98,98)">=</span>err<span style="color: rgb(98,98,98)">.</span>response<span style="color: rgb(98,98,98)">.</span>headers,
<span class="ansi-green-intense-fg ansi-bold"> 1628</span> stream<span style="color: rgb(98,98,98)">=</span>stream,
<span class="ansi-green-intense-fg ansi-bold"> 1629</span> stream_cls<span style="color: rgb(98,98,98)">=</span>stream_cls,
<span class="ansi-green-intense-fg ansi-bold"> 1630</span> )
<span class="ansi-green-intense-fg ansi-bold"> 1632</span> <span style="color: rgb(95,135,135)"># If the response is streamed then we need to explicitly read the response</span>
<span class="ansi-green-intense-fg ansi-bold"> 1633</span> <span style="color: rgb(95,135,135)"># to completion before attempting to access the response text.</span>
<span class="ansi-green-intense-fg ansi-bold"> 1634</span> <span class="ansi-bold" style="color: rgb(0,135,0)">if</span> <span class="ansi-bold" style="color: rgb(175,0,255)">not</span> err<span style="color: rgb(98,98,98)">.</span>response<span style="color: rgb(98,98,98)">.</span>is_closed:
File <span class="ansi-green-fg">~/.cache/pypoetry/virtualenvs/graphrag-F2jvqev7-py3.11/lib/python3.11/site-packages/openai/_base_client.py:1665</span>, in <span class="ansi-cyan-fg">AsyncAPIClient._retry_request</span><span class="ansi-blue-fg">(self, options, cast_to, retries_taken, response_headers, stream, stream_cls)</span>
<span class="ansi-green-intense-fg ansi-bold"> 1661</span> log<span style="color: rgb(98,98,98)">.</span>info(<span style="color: rgb(175,0,0)">"</span><span style="color: rgb(175,0,0)">Retrying request to </span><span class="ansi-bold" style="color: rgb(175,95,135)">%s</span><span style="color: rgb(175,0,0)"> in </span><span class="ansi-bold" style="color: rgb(175,95,135)">%f</span><span style="color: rgb(175,0,0)"> seconds</span><span style="color: rgb(175,0,0)">"</span>, options<span style="color: rgb(98,98,98)">.</span>url, timeout)
<span class="ansi-green-intense-fg ansi-bold"> 1663</span> <span class="ansi-bold" style="color: rgb(0,135,0)">await</span> anyio<span style="color: rgb(98,98,98)">.</span>sleep(timeout)
<span class="ansi-green-fg">-&gt; 1665</span> <span class="ansi-bold" style="color: rgb(0,135,0)">return</span> <span class="ansi-bold" style="color: rgb(0,135,0)">await</span> <span style="color: rgb(0,135,0)">self</span><span style="color: rgb(98,98,98)">.</span>_request(
<span class="ansi-green-intense-fg ansi-bold"> 1666</span> options<span style="color: rgb(98,98,98)">=</span>options,
<span class="ansi-green-intense-fg ansi-bold"> 1667</span> cast_to<span style="color: rgb(98,98,98)">=</span>cast_to,
<span class="ansi-green-intense-fg ansi-bold"> 1668</span> retries_taken<span style="color: rgb(98,98,98)">=</span>retries_taken <span style="color: rgb(98,98,98)">+</span> <span style="color: rgb(98,98,98)">1</span>,
<span class="ansi-green-intense-fg ansi-bold"> 1669</span> stream<span style="color: rgb(98,98,98)">=</span>stream,
<span class="ansi-green-intense-fg ansi-bold"> 1670</span> stream_cls<span style="color: rgb(98,98,98)">=</span>stream_cls,
<span class="ansi-green-intense-fg ansi-bold"> 1671</span> )
File <span class="ansi-green-fg">~/.cache/pypoetry/virtualenvs/graphrag-F2jvqev7-py3.11/lib/python3.11/site-packages/openai/_base_client.py:1670</span>, in <span class="ansi-cyan-fg">AsyncAPIClient._retry_request</span><span class="ansi-blue-fg">(self, options, cast_to, retries_taken, response_headers, stream, stream_cls)</span>
<span class="ansi-green-intense-fg ansi-bold"> 1666</span> log<span style="color: rgb(98,98,98)">.</span>info(<span style="color: rgb(175,0,0)">"</span><span style="color: rgb(175,0,0)">Retrying request to </span><span class="ansi-bold" style="color: rgb(175,95,135)">%s</span><span style="color: rgb(175,0,0)"> in </span><span class="ansi-bold" style="color: rgb(175,95,135)">%f</span><span style="color: rgb(175,0,0)"> seconds</span><span style="color: rgb(175,0,0)">"</span>, options<span style="color: rgb(98,98,98)">.</span>url, timeout)
<span class="ansi-green-intense-fg ansi-bold"> 1668</span> <span class="ansi-bold" style="color: rgb(0,135,0)">await</span> anyio<span style="color: rgb(98,98,98)">.</span>sleep(timeout)
<span class="ansi-green-fg">-&gt; 1670</span> <span class="ansi-bold" style="color: rgb(0,135,0)">return</span> <span class="ansi-bold" style="color: rgb(0,135,0)">await</span> <span style="color: rgb(0,135,0)">self</span><span style="color: rgb(98,98,98)">.</span>_request(
<span class="ansi-green-intense-fg ansi-bold"> 1671</span> options<span style="color: rgb(98,98,98)">=</span>options,
<span class="ansi-green-intense-fg ansi-bold"> 1672</span> cast_to<span style="color: rgb(98,98,98)">=</span>cast_to,
<span class="ansi-green-intense-fg ansi-bold"> 1673</span> retries_taken<span style="color: rgb(98,98,98)">=</span>retries_taken <span style="color: rgb(98,98,98)">+</span> <span style="color: rgb(98,98,98)">1</span>,
<span class="ansi-green-intense-fg ansi-bold"> 1674</span> stream<span style="color: rgb(98,98,98)">=</span>stream,
<span class="ansi-green-intense-fg ansi-bold"> 1675</span> stream_cls<span style="color: rgb(98,98,98)">=</span>stream_cls,
<span class="ansi-green-intense-fg ansi-bold"> 1676</span> )
File <span class="ansi-green-fg">~/.cache/pypoetry/virtualenvs/graphrag-F2jvqev7-py3.11/lib/python3.11/site-packages/openai/_base_client.py:1618</span>, in <span class="ansi-cyan-fg">AsyncAPIClient._request</span><span class="ansi-blue-fg">(self, cast_to, options, stream, stream_cls, retries_taken)</span>
<span class="ansi-green-intense-fg ansi-bold"> 1616</span> <span class="ansi-bold" style="color: rgb(0,135,0)">if</span> remaining_retries <span style="color: rgb(98,98,98)">&gt;</span> <span style="color: rgb(98,98,98)">0</span> <span class="ansi-bold" style="color: rgb(175,0,255)">and</span> <span style="color: rgb(0,135,0)">self</span><span style="color: rgb(98,98,98)">.</span>_should_retry(err<span style="color: rgb(98,98,98)">.</span>response):
<span class="ansi-green-intense-fg ansi-bold"> 1617</span> <span class="ansi-bold" style="color: rgb(0,135,0)">await</span> err<span style="color: rgb(98,98,98)">.</span>response<span style="color: rgb(98,98,98)">.</span>aclose()
<span class="ansi-green-fg">-&gt; 1618</span> <span class="ansi-bold" style="color: rgb(0,135,0)">return</span> <span class="ansi-bold" style="color: rgb(0,135,0)">await</span> <span style="color: rgb(0,135,0)">self</span><span style="color: rgb(98,98,98)">.</span>_retry_request(
<span class="ansi-green-intense-fg ansi-bold"> 1619</span> input_options,
<span class="ansi-green-intense-fg ansi-bold"> 1620</span> cast_to,
<span class="ansi-green-intense-fg ansi-bold"> 1621</span> retries_taken<span style="color: rgb(98,98,98)">=</span>retries_taken,
<span class="ansi-green-intense-fg ansi-bold"> 1622</span> response_headers<span style="color: rgb(98,98,98)">=</span>err<span style="color: rgb(98,98,98)">.</span>response<span style="color: rgb(98,98,98)">.</span>headers,
<span class="ansi-green-intense-fg ansi-bold"> 1623</span> stream<span style="color: rgb(98,98,98)">=</span>stream,
<span class="ansi-green-intense-fg ansi-bold"> 1624</span> stream_cls<span style="color: rgb(98,98,98)">=</span>stream_cls,
<span class="ansi-green-intense-fg ansi-bold"> 1625</span> )
<span class="ansi-green-intense-fg ansi-bold"> 1627</span> <span style="color: rgb(95,135,135)"># If the response is streamed then we need to explicitly read the response</span>
<span class="ansi-green-intense-fg ansi-bold"> 1628</span> <span style="color: rgb(95,135,135)"># to completion before attempting to access the response text.</span>
<span class="ansi-green-intense-fg ansi-bold"> 1629</span> <span class="ansi-bold" style="color: rgb(0,135,0)">if</span> <span class="ansi-bold" style="color: rgb(175,0,255)">not</span> err<span style="color: rgb(98,98,98)">.</span>response<span style="color: rgb(98,98,98)">.</span>is_closed:
File <span class="ansi-green-fg">~/.cache/pypoetry/virtualenvs/graphrag-F2jvqev7-py3.11/lib/python3.11/site-packages/openai/_base_client.py:1623</span>, in <span class="ansi-cyan-fg">AsyncAPIClient._request</span><span class="ansi-blue-fg">(self, cast_to, options, stream, stream_cls, retries_taken)</span>
<span class="ansi-green-intense-fg ansi-bold"> 1621</span> <span class="ansi-bold" style="color: rgb(0,135,0)">if</span> remaining_retries <span style="color: rgb(98,98,98)">&gt;</span> <span style="color: rgb(98,98,98)">0</span> <span class="ansi-bold" style="color: rgb(175,0,255)">and</span> <span style="color: rgb(0,135,0)">self</span><span style="color: rgb(98,98,98)">.</span>_should_retry(err<span style="color: rgb(98,98,98)">.</span>response):
<span class="ansi-green-intense-fg ansi-bold"> 1622</span> <span class="ansi-bold" style="color: rgb(0,135,0)">await</span> err<span style="color: rgb(98,98,98)">.</span>response<span style="color: rgb(98,98,98)">.</span>aclose()
<span class="ansi-green-fg">-&gt; 1623</span> <span class="ansi-bold" style="color: rgb(0,135,0)">return</span> <span class="ansi-bold" style="color: rgb(0,135,0)">await</span> <span style="color: rgb(0,135,0)">self</span><span style="color: rgb(98,98,98)">.</span>_retry_request(
<span class="ansi-green-intense-fg ansi-bold"> 1624</span> input_options,
<span class="ansi-green-intense-fg ansi-bold"> 1625</span> cast_to,
<span class="ansi-green-intense-fg ansi-bold"> 1626</span> retries_taken<span style="color: rgb(98,98,98)">=</span>retries_taken,
<span class="ansi-green-intense-fg ansi-bold"> 1627</span> response_headers<span style="color: rgb(98,98,98)">=</span>err<span style="color: rgb(98,98,98)">.</span>response<span style="color: rgb(98,98,98)">.</span>headers,
<span class="ansi-green-intense-fg ansi-bold"> 1628</span> stream<span style="color: rgb(98,98,98)">=</span>stream,
<span class="ansi-green-intense-fg ansi-bold"> 1629</span> stream_cls<span style="color: rgb(98,98,98)">=</span>stream_cls,
<span class="ansi-green-intense-fg ansi-bold"> 1630</span> )
<span class="ansi-green-intense-fg ansi-bold"> 1632</span> <span style="color: rgb(95,135,135)"># If the response is streamed then we need to explicitly read the response</span>
<span class="ansi-green-intense-fg ansi-bold"> 1633</span> <span style="color: rgb(95,135,135)"># to completion before attempting to access the response text.</span>
<span class="ansi-green-intense-fg ansi-bold"> 1634</span> <span class="ansi-bold" style="color: rgb(0,135,0)">if</span> <span class="ansi-bold" style="color: rgb(175,0,255)">not</span> err<span style="color: rgb(98,98,98)">.</span>response<span style="color: rgb(98,98,98)">.</span>is_closed:
File <span class="ansi-green-fg">~/.cache/pypoetry/virtualenvs/graphrag-F2jvqev7-py3.11/lib/python3.11/site-packages/openai/_base_client.py:1665</span>, in <span class="ansi-cyan-fg">AsyncAPIClient._retry_request</span><span class="ansi-blue-fg">(self, options, cast_to, retries_taken, response_headers, stream, stream_cls)</span>
<span class="ansi-green-intense-fg ansi-bold"> 1661</span> log<span style="color: rgb(98,98,98)">.</span>info(<span style="color: rgb(175,0,0)">"</span><span style="color: rgb(175,0,0)">Retrying request to </span><span class="ansi-bold" style="color: rgb(175,95,135)">%s</span><span style="color: rgb(175,0,0)"> in </span><span class="ansi-bold" style="color: rgb(175,95,135)">%f</span><span style="color: rgb(175,0,0)"> seconds</span><span style="color: rgb(175,0,0)">"</span>, options<span style="color: rgb(98,98,98)">.</span>url, timeout)
<span class="ansi-green-intense-fg ansi-bold"> 1663</span> <span class="ansi-bold" style="color: rgb(0,135,0)">await</span> anyio<span style="color: rgb(98,98,98)">.</span>sleep(timeout)
<span class="ansi-green-fg">-&gt; 1665</span> <span class="ansi-bold" style="color: rgb(0,135,0)">return</span> <span class="ansi-bold" style="color: rgb(0,135,0)">await</span> <span style="color: rgb(0,135,0)">self</span><span style="color: rgb(98,98,98)">.</span>_request(
<span class="ansi-green-intense-fg ansi-bold"> 1666</span> options<span style="color: rgb(98,98,98)">=</span>options,
<span class="ansi-green-intense-fg ansi-bold"> 1667</span> cast_to<span style="color: rgb(98,98,98)">=</span>cast_to,
<span class="ansi-green-intense-fg ansi-bold"> 1668</span> retries_taken<span style="color: rgb(98,98,98)">=</span>retries_taken <span style="color: rgb(98,98,98)">+</span> <span style="color: rgb(98,98,98)">1</span>,
<span class="ansi-green-intense-fg ansi-bold"> 1669</span> stream<span style="color: rgb(98,98,98)">=</span>stream,
<span class="ansi-green-intense-fg ansi-bold"> 1670</span> stream_cls<span style="color: rgb(98,98,98)">=</span>stream_cls,
<span class="ansi-green-intense-fg ansi-bold"> 1671</span> )
File <span class="ansi-green-fg">~/.cache/pypoetry/virtualenvs/graphrag-F2jvqev7-py3.11/lib/python3.11/site-packages/openai/_base_client.py:1670</span>, in <span class="ansi-cyan-fg">AsyncAPIClient._retry_request</span><span class="ansi-blue-fg">(self, options, cast_to, retries_taken, response_headers, stream, stream_cls)</span>
<span class="ansi-green-intense-fg ansi-bold"> 1666</span> log<span style="color: rgb(98,98,98)">.</span>info(<span style="color: rgb(175,0,0)">"</span><span style="color: rgb(175,0,0)">Retrying request to </span><span class="ansi-bold" style="color: rgb(175,95,135)">%s</span><span style="color: rgb(175,0,0)"> in </span><span class="ansi-bold" style="color: rgb(175,95,135)">%f</span><span style="color: rgb(175,0,0)"> seconds</span><span style="color: rgb(175,0,0)">"</span>, options<span style="color: rgb(98,98,98)">.</span>url, timeout)
<span class="ansi-green-intense-fg ansi-bold"> 1668</span> <span class="ansi-bold" style="color: rgb(0,135,0)">await</span> anyio<span style="color: rgb(98,98,98)">.</span>sleep(timeout)
<span class="ansi-green-fg">-&gt; 1670</span> <span class="ansi-bold" style="color: rgb(0,135,0)">return</span> <span class="ansi-bold" style="color: rgb(0,135,0)">await</span> <span style="color: rgb(0,135,0)">self</span><span style="color: rgb(98,98,98)">.</span>_request(
<span class="ansi-green-intense-fg ansi-bold"> 1671</span> options<span style="color: rgb(98,98,98)">=</span>options,
<span class="ansi-green-intense-fg ansi-bold"> 1672</span> cast_to<span style="color: rgb(98,98,98)">=</span>cast_to,
<span class="ansi-green-intense-fg ansi-bold"> 1673</span> retries_taken<span style="color: rgb(98,98,98)">=</span>retries_taken <span style="color: rgb(98,98,98)">+</span> <span style="color: rgb(98,98,98)">1</span>,
<span class="ansi-green-intense-fg ansi-bold"> 1674</span> stream<span style="color: rgb(98,98,98)">=</span>stream,
<span class="ansi-green-intense-fg ansi-bold"> 1675</span> stream_cls<span style="color: rgb(98,98,98)">=</span>stream_cls,
<span class="ansi-green-intense-fg ansi-bold"> 1676</span> )
<span class="ansi-red-fg">[... skipping similar frames: AsyncAPIClient._request at line 1618 (17 times), AsyncAPIClient._retry_request at line 1665 (17 times)]</span>
<span class="ansi-red-fg">[... skipping similar frames: AsyncAPIClient._request at line 1623 (17 times), AsyncAPIClient._retry_request at line 1670 (17 times)]</span>
File <span class="ansi-green-fg">~/.cache/pypoetry/virtualenvs/graphrag-F2jvqev7-py3.11/lib/python3.11/site-packages/openai/_base_client.py:1618</span>, in <span class="ansi-cyan-fg">AsyncAPIClient._request</span><span class="ansi-blue-fg">(self, cast_to, options, stream, stream_cls, retries_taken)</span>
<span class="ansi-green-intense-fg ansi-bold"> 1616</span> <span class="ansi-bold" style="color: rgb(0,135,0)">if</span> remaining_retries <span style="color: rgb(98,98,98)">&gt;</span> <span style="color: rgb(98,98,98)">0</span> <span class="ansi-bold" style="color: rgb(175,0,255)">and</span> <span style="color: rgb(0,135,0)">self</span><span style="color: rgb(98,98,98)">.</span>_should_retry(err<span style="color: rgb(98,98,98)">.</span>response):
<span class="ansi-green-intense-fg ansi-bold"> 1617</span> <span class="ansi-bold" style="color: rgb(0,135,0)">await</span> err<span style="color: rgb(98,98,98)">.</span>response<span style="color: rgb(98,98,98)">.</span>aclose()
<span class="ansi-green-fg">-&gt; 1618</span> <span class="ansi-bold" style="color: rgb(0,135,0)">return</span> <span class="ansi-bold" style="color: rgb(0,135,0)">await</span> <span style="color: rgb(0,135,0)">self</span><span style="color: rgb(98,98,98)">.</span>_retry_request(
<span class="ansi-green-intense-fg ansi-bold"> 1619</span> input_options,
<span class="ansi-green-intense-fg ansi-bold"> 1620</span> cast_to,
<span class="ansi-green-intense-fg ansi-bold"> 1621</span> retries_taken<span style="color: rgb(98,98,98)">=</span>retries_taken,
<span class="ansi-green-intense-fg ansi-bold"> 1622</span> response_headers<span style="color: rgb(98,98,98)">=</span>err<span style="color: rgb(98,98,98)">.</span>response<span style="color: rgb(98,98,98)">.</span>headers,
<span class="ansi-green-intense-fg ansi-bold"> 1623</span> stream<span style="color: rgb(98,98,98)">=</span>stream,
<span class="ansi-green-intense-fg ansi-bold"> 1624</span> stream_cls<span style="color: rgb(98,98,98)">=</span>stream_cls,
<span class="ansi-green-intense-fg ansi-bold"> 1625</span> )
<span class="ansi-green-intense-fg ansi-bold"> 1627</span> <span style="color: rgb(95,135,135)"># If the response is streamed then we need to explicitly read the response</span>
<span class="ansi-green-intense-fg ansi-bold"> 1628</span> <span style="color: rgb(95,135,135)"># to completion before attempting to access the response text.</span>
<span class="ansi-green-intense-fg ansi-bold"> 1629</span> <span class="ansi-bold" style="color: rgb(0,135,0)">if</span> <span class="ansi-bold" style="color: rgb(175,0,255)">not</span> err<span style="color: rgb(98,98,98)">.</span>response<span style="color: rgb(98,98,98)">.</span>is_closed:
File <span class="ansi-green-fg">~/.cache/pypoetry/virtualenvs/graphrag-F2jvqev7-py3.11/lib/python3.11/site-packages/openai/_base_client.py:1623</span>, in <span class="ansi-cyan-fg">AsyncAPIClient._request</span><span class="ansi-blue-fg">(self, cast_to, options, stream, stream_cls, retries_taken)</span>
<span class="ansi-green-intense-fg ansi-bold"> 1621</span> <span class="ansi-bold" style="color: rgb(0,135,0)">if</span> remaining_retries <span style="color: rgb(98,98,98)">&gt;</span> <span style="color: rgb(98,98,98)">0</span> <span class="ansi-bold" style="color: rgb(175,0,255)">and</span> <span style="color: rgb(0,135,0)">self</span><span style="color: rgb(98,98,98)">.</span>_should_retry(err<span style="color: rgb(98,98,98)">.</span>response):
<span class="ansi-green-intense-fg ansi-bold"> 1622</span> <span class="ansi-bold" style="color: rgb(0,135,0)">await</span> err<span style="color: rgb(98,98,98)">.</span>response<span style="color: rgb(98,98,98)">.</span>aclose()
<span class="ansi-green-fg">-&gt; 1623</span> <span class="ansi-bold" style="color: rgb(0,135,0)">return</span> <span class="ansi-bold" style="color: rgb(0,135,0)">await</span> <span style="color: rgb(0,135,0)">self</span><span style="color: rgb(98,98,98)">.</span>_retry_request(
<span class="ansi-green-intense-fg ansi-bold"> 1624</span> input_options,
<span class="ansi-green-intense-fg ansi-bold"> 1625</span> cast_to,
<span class="ansi-green-intense-fg ansi-bold"> 1626</span> retries_taken<span style="color: rgb(98,98,98)">=</span>retries_taken,
<span class="ansi-green-intense-fg ansi-bold"> 1627</span> response_headers<span style="color: rgb(98,98,98)">=</span>err<span style="color: rgb(98,98,98)">.</span>response<span style="color: rgb(98,98,98)">.</span>headers,
<span class="ansi-green-intense-fg ansi-bold"> 1628</span> stream<span style="color: rgb(98,98,98)">=</span>stream,
<span class="ansi-green-intense-fg ansi-bold"> 1629</span> stream_cls<span style="color: rgb(98,98,98)">=</span>stream_cls,
<span class="ansi-green-intense-fg ansi-bold"> 1630</span> )
<span class="ansi-green-intense-fg ansi-bold"> 1632</span> <span style="color: rgb(95,135,135)"># If the response is streamed then we need to explicitly read the response</span>
<span class="ansi-green-intense-fg ansi-bold"> 1633</span> <span style="color: rgb(95,135,135)"># to completion before attempting to access the response text.</span>
<span class="ansi-green-intense-fg ansi-bold"> 1634</span> <span class="ansi-bold" style="color: rgb(0,135,0)">if</span> <span class="ansi-bold" style="color: rgb(175,0,255)">not</span> err<span style="color: rgb(98,98,98)">.</span>response<span style="color: rgb(98,98,98)">.</span>is_closed:
File <span class="ansi-green-fg">~/.cache/pypoetry/virtualenvs/graphrag-F2jvqev7-py3.11/lib/python3.11/site-packages/openai/_base_client.py:1665</span>, in <span class="ansi-cyan-fg">AsyncAPIClient._retry_request</span><span class="ansi-blue-fg">(self, options, cast_to, retries_taken, response_headers, stream, stream_cls)</span>
<span class="ansi-green-intense-fg ansi-bold"> 1661</span> log<span style="color: rgb(98,98,98)">.</span>info(<span style="color: rgb(175,0,0)">"</span><span style="color: rgb(175,0,0)">Retrying request to </span><span class="ansi-bold" style="color: rgb(175,95,135)">%s</span><span style="color: rgb(175,0,0)"> in </span><span class="ansi-bold" style="color: rgb(175,95,135)">%f</span><span style="color: rgb(175,0,0)"> seconds</span><span style="color: rgb(175,0,0)">"</span>, options<span style="color: rgb(98,98,98)">.</span>url, timeout)
<span class="ansi-green-intense-fg ansi-bold"> 1663</span> <span class="ansi-bold" style="color: rgb(0,135,0)">await</span> anyio<span style="color: rgb(98,98,98)">.</span>sleep(timeout)
<span class="ansi-green-fg">-&gt; 1665</span> <span class="ansi-bold" style="color: rgb(0,135,0)">return</span> <span class="ansi-bold" style="color: rgb(0,135,0)">await</span> <span style="color: rgb(0,135,0)">self</span><span style="color: rgb(98,98,98)">.</span>_request(
<span class="ansi-green-intense-fg ansi-bold"> 1666</span> options<span style="color: rgb(98,98,98)">=</span>options,
<span class="ansi-green-intense-fg ansi-bold"> 1667</span> cast_to<span style="color: rgb(98,98,98)">=</span>cast_to,
<span class="ansi-green-intense-fg ansi-bold"> 1668</span> retries_taken<span style="color: rgb(98,98,98)">=</span>retries_taken <span style="color: rgb(98,98,98)">+</span> <span style="color: rgb(98,98,98)">1</span>,
<span class="ansi-green-intense-fg ansi-bold"> 1669</span> stream<span style="color: rgb(98,98,98)">=</span>stream,
<span class="ansi-green-intense-fg ansi-bold"> 1670</span> stream_cls<span style="color: rgb(98,98,98)">=</span>stream_cls,
<span class="ansi-green-intense-fg ansi-bold"> 1671</span> )
File <span class="ansi-green-fg">~/.cache/pypoetry/virtualenvs/graphrag-F2jvqev7-py3.11/lib/python3.11/site-packages/openai/_base_client.py:1670</span>, in <span class="ansi-cyan-fg">AsyncAPIClient._retry_request</span><span class="ansi-blue-fg">(self, options, cast_to, retries_taken, response_headers, stream, stream_cls)</span>
<span class="ansi-green-intense-fg ansi-bold"> 1666</span> log<span style="color: rgb(98,98,98)">.</span>info(<span style="color: rgb(175,0,0)">"</span><span style="color: rgb(175,0,0)">Retrying request to </span><span class="ansi-bold" style="color: rgb(175,95,135)">%s</span><span style="color: rgb(175,0,0)"> in </span><span class="ansi-bold" style="color: rgb(175,95,135)">%f</span><span style="color: rgb(175,0,0)"> seconds</span><span style="color: rgb(175,0,0)">"</span>, options<span style="color: rgb(98,98,98)">.</span>url, timeout)
<span class="ansi-green-intense-fg ansi-bold"> 1668</span> <span class="ansi-bold" style="color: rgb(0,135,0)">await</span> anyio<span style="color: rgb(98,98,98)">.</span>sleep(timeout)
<span class="ansi-green-fg">-&gt; 1670</span> <span class="ansi-bold" style="color: rgb(0,135,0)">return</span> <span class="ansi-bold" style="color: rgb(0,135,0)">await</span> <span style="color: rgb(0,135,0)">self</span><span style="color: rgb(98,98,98)">.</span>_request(
<span class="ansi-green-intense-fg ansi-bold"> 1671</span> options<span style="color: rgb(98,98,98)">=</span>options,
<span class="ansi-green-intense-fg ansi-bold"> 1672</span> cast_to<span style="color: rgb(98,98,98)">=</span>cast_to,
<span class="ansi-green-intense-fg ansi-bold"> 1673</span> retries_taken<span style="color: rgb(98,98,98)">=</span>retries_taken <span style="color: rgb(98,98,98)">+</span> <span style="color: rgb(98,98,98)">1</span>,
<span class="ansi-green-intense-fg ansi-bold"> 1674</span> stream<span style="color: rgb(98,98,98)">=</span>stream,
<span class="ansi-green-intense-fg ansi-bold"> 1675</span> stream_cls<span style="color: rgb(98,98,98)">=</span>stream_cls,
<span class="ansi-green-intense-fg ansi-bold"> 1676</span> )
File <span class="ansi-green-fg">~/.cache/pypoetry/virtualenvs/graphrag-F2jvqev7-py3.11/lib/python3.11/site-packages/openai/_base_client.py:1633</span>, in <span class="ansi-cyan-fg">AsyncAPIClient._request</span><span class="ansi-blue-fg">(self, cast_to, options, stream, stream_cls, retries_taken)</span>
<span class="ansi-green-intense-fg ansi-bold"> 1630</span> <span class="ansi-bold" style="color: rgb(0,135,0)">await</span> err<span style="color: rgb(98,98,98)">.</span>response<span style="color: rgb(98,98,98)">.</span>aread()
<span class="ansi-green-intense-fg ansi-bold"> 1632</span> log<span style="color: rgb(98,98,98)">.</span>debug(<span style="color: rgb(175,0,0)">"</span><span style="color: rgb(175,0,0)">Re-raising status error</span><span style="color: rgb(175,0,0)">"</span>)
<span class="ansi-green-fg">-&gt; 1633</span> <span class="ansi-bold" style="color: rgb(0,135,0)">raise</span> <span style="color: rgb(0,135,0)">self</span><span style="color: rgb(98,98,98)">.</span>_make_status_error_from_response(err<span style="color: rgb(98,98,98)">.</span>response) <span class="ansi-bold" style="color: rgb(0,135,0)">from</span> <span class="ansi-bold" style="color: rgb(0,135,0)">None</span>
<span class="ansi-green-intense-fg ansi-bold"> 1635</span> <span class="ansi-bold" style="color: rgb(0,135,0)">return</span> <span class="ansi-bold" style="color: rgb(0,135,0)">await</span> <span style="color: rgb(0,135,0)">self</span><span style="color: rgb(98,98,98)">.</span>_process_response(
<span class="ansi-green-intense-fg ansi-bold"> 1636</span> cast_to<span style="color: rgb(98,98,98)">=</span>cast_to,
<span class="ansi-green-intense-fg ansi-bold"> 1637</span> options<span style="color: rgb(98,98,98)">=</span>options,
File <span class="ansi-green-fg">~/.cache/pypoetry/virtualenvs/graphrag-F2jvqev7-py3.11/lib/python3.11/site-packages/openai/_base_client.py:1638</span>, in <span class="ansi-cyan-fg">AsyncAPIClient._request</span><span class="ansi-blue-fg">(self, cast_to, options, stream, stream_cls, retries_taken)</span>
<span class="ansi-green-intense-fg ansi-bold"> 1635</span> <span class="ansi-bold" style="color: rgb(0,135,0)">await</span> err<span style="color: rgb(98,98,98)">.</span>response<span style="color: rgb(98,98,98)">.</span>aread()
<span class="ansi-green-intense-fg ansi-bold"> 1637</span> log<span style="color: rgb(98,98,98)">.</span>debug(<span style="color: rgb(175,0,0)">"</span><span style="color: rgb(175,0,0)">Re-raising status error</span><span style="color: rgb(175,0,0)">"</span>)
<span class="ansi-green-fg">-&gt; 1638</span> <span class="ansi-bold" style="color: rgb(0,135,0)">raise</span> <span style="color: rgb(0,135,0)">self</span><span style="color: rgb(98,98,98)">.</span>_make_status_error_from_response(err<span style="color: rgb(98,98,98)">.</span>response) <span class="ansi-bold" style="color: rgb(0,135,0)">from</span> <span class="ansi-bold" style="color: rgb(0,135,0)">None</span>
<span class="ansi-green-intense-fg ansi-bold"> 1640</span> <span class="ansi-bold" style="color: rgb(0,135,0)">return</span> <span class="ansi-bold" style="color: rgb(0,135,0)">await</span> <span style="color: rgb(0,135,0)">self</span><span style="color: rgb(98,98,98)">.</span>_process_response(
<span class="ansi-green-intense-fg ansi-bold"> 1641</span> cast_to<span style="color: rgb(98,98,98)">=</span>cast_to,
<span class="ansi-green-intense-fg ansi-bold"> 1642</span> options<span style="color: rgb(98,98,98)">=</span>options,
<span class="ansi-green-fg"> (...)</span>
<span class="ansi-green-intense-fg ansi-bold"> 1641</span> retries_taken<span style="color: rgb(98,98,98)">=</span>retries_taken,
<span class="ansi-green-intense-fg ansi-bold"> 1642</span> )
<span class="ansi-green-intense-fg ansi-bold"> 1646</span> retries_taken<span style="color: rgb(98,98,98)">=</span>retries_taken,
<span class="ansi-green-intense-fg ansi-bold"> 1647</span> )
<span class="ansi-red-fg">RateLimitError</span>: Error code: 429 - {'error': {'message': 'You exceeded your current quota, please check your plan and billing details. For more information on this error, read the docs: https://platform.openai.com/docs/guides/error-codes/api-errors.', 'type': 'insufficient_quota', 'param': None, 'code': 'insufficient_quota'}}</pre>
</div>

View File

@ -3980,7 +3980,7 @@ File <span class="ansi-green-fg">~/work/graphrag/graphrag/graphrag/query/questio
<span class="ansi-green-intense-fg ansi-bold"> 75</span> <span class="ansi-bold" style="color: rgb(0,135,0)">if</span> context_data <span class="ansi-bold" style="color: rgb(175,0,255)">is</span> <span class="ansi-bold" style="color: rgb(0,135,0)">None</span>:
<span class="ansi-green-intense-fg ansi-bold"> 76</span> <span style="color: rgb(95,135,135)"># generate context data based on the question history</span>
<span class="ansi-green-intense-fg ansi-bold"> 77</span> result <span style="color: rgb(98,98,98)">=</span> cast(
<span class="ansi-green-intense-fg ansi-bold"> 78</span> ContextBuilderResult,
<span class="ansi-green-intense-fg ansi-bold"> 78</span> <span style="color: rgb(175,0,0)">"</span><span style="color: rgb(175,0,0)">ContextBuilderResult</span><span style="color: rgb(175,0,0)">"</span>,
<span class="ansi-green-fg">---&gt; 79</span> <span class="ansi-yellow-bg" style="color: rgb(0,135,0)">self</span><span class="ansi-yellow-bg" style="color: rgb(98,98,98)">.</span><span class="ansi-yellow-bg">context_builder</span><span class="ansi-yellow-bg" style="color: rgb(98,98,98)">.</span><span class="ansi-yellow-bg">build_context</span><span class="ansi-yellow-bg">(</span>
<span class="ansi-green-intense-fg ansi-bold"> 80</span> <span class="ansi-yellow-bg"> </span><span class="ansi-yellow-bg">query</span><span class="ansi-yellow-bg" style="color: rgb(98,98,98)">=</span><span class="ansi-yellow-bg">question_text</span><span class="ansi-yellow-bg">,</span>
<span class="ansi-green-intense-fg ansi-bold"> 81</span> <span class="ansi-yellow-bg"> </span><span class="ansi-yellow-bg">conversation_history</span><span class="ansi-yellow-bg" style="color: rgb(98,98,98)">=</span><span class="ansi-yellow-bg">conversation_history</span><span class="ansi-yellow-bg">,</span>
@ -3988,7 +3988,7 @@ File <span class="ansi-green-fg">~/work/graphrag/graphrag/graphrag/query/questio
<span class="ansi-green-intense-fg ansi-bold"> 83</span> <span class="ansi-yellow-bg"> </span><span class="ansi-yellow-bg" style="color: rgb(98,98,98)">*</span><span class="ansi-yellow-bg" style="color: rgb(98,98,98)">*</span><span class="ansi-yellow-bg" style="color: rgb(0,135,0)">self</span><span class="ansi-yellow-bg" style="color: rgb(98,98,98)">.</span><span class="ansi-yellow-bg">context_builder_params</span><span class="ansi-yellow-bg">,</span>
<span class="ansi-green-intense-fg ansi-bold"> 84</span> <span class="ansi-yellow-bg"> </span><span class="ansi-yellow-bg">)</span>,
<span class="ansi-green-intense-fg ansi-bold"> 85</span> )
<span class="ansi-green-intense-fg ansi-bold"> 86</span> context_data <span style="color: rgb(98,98,98)">=</span> cast(<span style="color: rgb(0,135,0)">str</span>, result<span style="color: rgb(98,98,98)">.</span>context_chunks)
<span class="ansi-green-intense-fg ansi-bold"> 86</span> context_data <span style="color: rgb(98,98,98)">=</span> cast(<span style="color: rgb(175,0,0)">"</span><span style="color: rgb(175,0,0)">str</span><span style="color: rgb(175,0,0)">"</span>, result<span style="color: rgb(98,98,98)">.</span>context_chunks)
<span class="ansi-green-intense-fg ansi-bold"> 87</span> context_records <span style="color: rgb(98,98,98)">=</span> result<span style="color: rgb(98,98,98)">.</span>context_records
File <span class="ansi-green-fg">~/work/graphrag/graphrag/graphrag/query/structured_search/local_search/mixed_context.py:139</span>, in <span class="ansi-cyan-fg">LocalSearchMixedContext.build_context</span><span class="ansi-blue-fg">(self, query, conversation_history, include_entity_names, exclude_entity_names, conversation_history_max_turns, conversation_history_user_turns_only, max_tokens, text_unit_prop, community_prop, top_k_mapped_entities, top_k_relationships, include_community_rank, include_entity_rank, rank_description, include_relationship_weight, relationship_ranking_attribute, return_candidate_context, use_community_summary, min_community_rank, community_context_name, column_delimiter, **kwargs)</span>

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